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During the past two decades, mindfulness meditation has gone from being a fringe topic of scientific investigation to being an occasional replacement for psychotherapy, tool of corporate well-being, widely implemented educational practice, and “key to building more resilient soldiers.” Yet the mindfulness movement and empirical evidence supporting it have not gone without criticism. Misinformation and poor methodology associated with past studies of mindfulness may lead public consumers to be harmed, misled, and disappointed. Addressing such concerns, the present article discusses the difficulties of defining mindfulness, delineates the proper scope of research into mindfulness practices, and explicates crucial methodological issues for interpreting results from investigations of mindfulness. For doing so, the authors draw on their diverse areas of expertise to review the present state of mindfulness research, comprehensively summarizing what we do and do not know, while providing a prescriptive agenda for contemplative science, with a particular focus on assessment, mindfulness training, possible adverse effects, and intersection with brain imaging. Our goals are to inform interested scientists, the news media, and the public, to minimize harm, curb poor research practices, and staunch the flow of misinformation about the benefits, costs, and future prospects of mindfulness meditation.
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DOI: 10.1177/1745691617709589
709589PPSXXX10.1177/1745691617709589Van Dam et al.Critical Evaluation of Mindfulness Research
†These authors contributed equally to the present article and are listed in reverse alphabetical order.
*Cathy Kerr passed away, unexpectedly, during the revision of this article.
Corresponding Author:
Nicholas T. Van Dam, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029
Mind the Hype: A Critical Evaluation
and Prescriptive Agenda for Research
on Mindfulness and Meditation
Nicholas T. Van Dam1, Marieke K. van Vugt2†, David R. Vago3†,
Laura Schmalzl4†, Clifford D. Saron5†, Andrew Olendzki6†,
Ted Meissner7†, Sara W. Lazar8†, Catherine E. Kerr9†*,
Jolie Gorchov10†, Kieran C. R. Fox11†, Brent A. Field12†,
Willoughby B. Britton13†, Julie A. Brefczynski-Lewis14†, and
David E. Meyer15
1Department of Psychiatry, Icahn School of Medicine at Mount Sinai; 2Institute of Artificial Intelligence
and Cognitive Engineering, University of Groningen; 3Osher Center for Integrative Medicine, Departments
of Psychiatry and Physical Medicine & Rehabilitation, Vanderbilt University Medical Center; 4College of
Science and Integrative Health, Southern California University of Health Sciences; 5Center for Mind and
Brain, University of California, Davis; 6Integrated Dharma Institute; 7Center for Mindfulness, University of
Massachusetts Medical School; 8Massachusetts General Hospital, Harvard Medical School; 9Department of
Family Medicine, Warren Alpert Medical School at Brown University; 10Silver School of Social Work, New
York University; 11Department of Neurology and Neurological Sciences, Stanford University; 12Princeton
Neuroscience Institute, Princeton University; 13Department of Psychiatry and Human Behavior, Warren Alpert
Medical School at Brown University; 14Department of Physiology and Pharmacology, School of Medicine,
West Virginia University; and 15Department of Psychology, University of Michigan
During the past two decades, mindfulness meditation has gone from being a fringe topic of scientific investigation to
being an occasional replacement for psychotherapy, tool of corporate well-being, widely implemented educational
practice, and “key to building more resilient soldiers.” Yet the mindfulness movement and empirical evidence supporting
it have not gone without criticism. Misinformation and poor methodology associated with past studies of mindfulness
may lead public consumers to be harmed, misled, and disappointed. Addressing such concerns, the present article
discusses the difficulties of defining mindfulness, delineates the proper scope of research into mindfulness practices,
and explicates crucial methodological issues for interpreting results from investigations of mindfulness. For doing so,
the authors draw on their diverse areas of expertise to review the present state of mindfulness research, comprehensively
summarizing what we do and do not know, while providing a prescriptive agenda for contemplative science, with a
particular focus on assessment, mindfulness training, possible adverse effects, and intersection with brain imaging. Our
goals are to inform interested scientists, the news media, and the public, to minimize harm, curb poor research practices,
and staunch the flow of misinformation about the benefits, costs, and future prospects of mindfulness meditation.
mindfulness, meditation, psychotherapy, neuroimaging, contemplative science, adverse effects, media hype,
2 Van Dam et al.
Mindfulness is an umbrella term used to characterize a
large number of practices, processes, and characteris-
tics, largely defined in relation to the capacities of atten-
tion, awareness, memory/retention, and acceptance/
discernment. While the term has its historical footing
in Buddhism (cf. Bodhi, 2011; Dreyfus, 2011; Dunne,
2011; Gethin, 2011; Kabat-Zinn, 2011), it has achieved
wide-ranging popularity in psychology, psychiatry,
medicine, neuroscience, and beyond, initially through
its central role in mindfulness-based stress reduction
(MBSR; Kabat-Zinn, 1990)—an intervention/training
“package” introduced in the late 1970s as a comple-
mentary therapy for medically ailing individuals
(Kabat-Zinn, 2011). The term mindfulness began to gain
traction among scientists, clinicians, and scholars as the
Mind and Life Institute emerged in 1987 and facilitated
formal regular dialogues between the Dalai Lama and
prominent scientists and clinicians, as well as regular
summer research meetings, the latter starting in 2004
(Kabat-Zinn & Davidson, 2011). In the early 2000s,
mindfulness saw an exponential growth trajectory that
continues to this day (see Fig. 1). The term mindfulness
has a plethora of meanings; a reflection of its incredible
popularity alongside some preliminary support, con-
siderable misinformation and misunderstanding, as well
as a general lack of methodologically rigorous research.
Mindfulness has become an extremely influential
practice for a sizeable subset of the general public, con-
stituting part of Google’s business practices (Schaufenbuel,
2015), available as a standard psychotherapy via the
National Health Service in the United Kingdom (see
Coyne, 2015b) and, most recently, part of standard edu-
cation for approximately 6,000 school children in Lon-
don (Rhodes, 2015). In addition, it has become a major
area of study across subdisciplines of psychological sci-
ence, including social/personality (Brown & Ryan, 2003),
industrial/organizational (Dane, 2011), experimental
(Jensen, Vangkilde, Frokjaer, & Hasselbalch, 2012), clini-
cal (Dimidjian & Segal, 2015), cognitive (Tang, Hölzel,
& Posner, 2015), health (Jain etal., 2007), educational
(Britton, Lepp, etal., 2014), and many others. As such,
it is critical that we take the term (along with any ambi-
guities) and the methodological rigor (or lack thereof)
with which it has been studied very seriously.
Over the past two decades, writings on mindfulness
and meditation practices have saturated the public news
media and scientific literature (see Fig. 1). While this is
not an isolated case, much popular media fail to accu-
rately represent scientific examination of mindfulness
(see, e.g., Goyal etal., 2014), making rather exaggerated
claims about the potential benefits of mindfulness prac-
tices (Gibbs, 2016; Gunderson, 2016). There have even
been some portrayals of mindfulness as an essentially
universal panacea for various types of human deficien-
cies and ailments (see, e.g., Gunderson, 2016; Huffington,
As mindfulness has increasingly pervaded every aspect
of contemporary society, so have misunderstandings
about what it is, whom it helps, and how it affects the
mind and brain. At a practical level, the misinformation
and propagation of poor research methodology can
potentially lead to people being harmed, cheated,
Fig. 1. Scientific and news media articles on mindfulness and/or meditation by year from 1970
to 2015. Empirical scientific articles (black line) with the term mindfulness or meditation in the
abstract, title, or keywords, published between 1970 and 2015 were searched using Scopus. Media
pieces (dashed gray line) with the term mindfulness or meditation, published in newspapers, using
a similarity filter to minimize double-counting, published between 1970 and 2015 were searched
using LexisNexis.
Critical Evaluation of Mindfulness Research 3
disappointed, and/or disaffected. At a philosophical level,
misunderstandings of the work and its implications could
limit the potential utility of a method that proposes
unique links between first-person data and third-person
observations (cf. Lutz & Thompson, 2003). Furthermore,
research into a potentially promising arena may be halted
for no reason other than that people have become tired
of hearing about it (and therefore disinclined to pursue
and/or fund it). While there have been many review
articles written on mindfulness (e.g., Davidson &
Kaszniak, 2015; Dimidjian & Segal, 2015; Farb, 2014; Tang
etal., 2015), they cannot, by virtue of their limited scope
(often focused on specific conditions or topics) and
authorship (often limited to a short list of investigators,
sometimes with clear conflicts of interest; see, e.g., Coyne,
2015b), offer a balanced, consensus perspective. Going
beyond prior reviews, the present work provides exposi-
tion of the varying definitions of mindfulness, reviews
the status of empirical assessment of mindfulness, reviews
potential adverse events, considers implications for con-
temporary clinical practice, discusses specific issues that
arise when doing neuroimaging with meditating samples,
and elaborates on potential neural differences associated
with meditation practices of varying durations.
Two main topics are considered herein: (a) the prob-
lem of defining mindfulness and thus delineating the
appropriate scope of research on mindfulness practices
and (b) methodological issues in mindfulness research.
We provide (a) an overview of the current state in sci-
entific knowledge, (b) a summary of consensus about
what the currently available empirical findings do or
do not conclusively show, and (c) a proposed prescrip-
tive research agenda for making future scientific prog-
ress in understanding the consequences of mindfulness
Our rationale for this expository approach stems
from multiple major a priori considerations. We believe
that much public confusion and media hype have
stemmed from an undifferentiated use of the terms
mindfulness and meditation. Each of these terms may
refer to an ambiguously broad array of mental states
and practices that are associated with a wide variety of
secular and religious contexts (Davidson & Kaszniak,
2015; Goleman, 1988). Valid interpretation of empirical
results from scientific research on such states and prac-
tices must take proper account of exactly what types
of mindfulness and meditation are involved. With cur-
rent use of umbrella terms, a 5-minute meditation exer-
cise from a popular phone application might be treated
the same as a 3-month meditation retreat (both labeled
as meditation) and a self-report questionnaire might be
equated with the characteristics of someone who has
spent decades practicing a particular type of meditation
(both labeled as mindfulness).
Furthermore, there is a general failure among the
public to recognize that scientific consensus is a com-
plex process requiring considerable time, effort, debate,
and (most important) data. Throughout the scientific
process, the predominant view among scholars can
vacillate between being in support of, being agnostic
to, and being against a given idea or theory (Shwed &
Bearman, 2010). Eager journalists, academic press
offices, and news media outlets—sometimes aided and
abetted by researchers—have often overinterpreted ini-
tial tentative empirical results as if they were estab-
lished facts. Moreover, statistically “significant”
differences have repeatedly been equated with clinical
and/or practical significance (cf. Rosnow & Rosenthal,
1989). These critical considerations need to be incor-
porated constructively in the future development of
best practices for conducting mindfulness research, and
for promoting accurate scientific communication with
the general public (Britton, 2016).
The Problematic Meaning of
Despite how it is often portrayed by the media (e.g.,
Huffington, 2013) and some researchers (Brown & Ryan,
2003), there is neither one universally accepted technical
definition of “mindfulness” nor any broad agreement
about detailed aspects of the underlying concept to
which it refers (Bodhi, 2011; Dreyfus, 2011; Dunne, 2011;
Gethin, 2011). Frequently, “mindfulness” simply denotes
a mental faculty for being consciously aware and taking
account of currently prevailing situations (Kabat-Zinn,
1990; Langer, 1989). At other times, “mindfulness” may
refer to formal practice of sitting on a cushion in a spe-
cific posture and attending (more or less successfully)
to the breath or some other focal object. Considerable
disagreement about definitions is not uncommon in the
study of complex constructs (for discussion of intelli-
gence, see, e.g., Neisser etal., 1996; for discussion of
wisdom, see, e.g., Walsh, 2015) and mindfulness is no
exception. Mindfulness is typically considered to be a
mental faculty relating to attention, awareness, retention/
memory, and/or discernment (cf. Davidson & Kaszniak,
2015); however, these multiple faculties are rarely rep-
resented in research practice (Goldberg et al., 2015;
Manuel, Somohano, & Bowen, 2017). One of the most
thoughtful and frequently invoked definitions states that
mindfulness is moment-to-moment awareness, cultivated
by paying attention in a specific way, in the present
moment, as nonreactively, nonjudgmentally, and open-
heartedly as possible (Kabat-Zinn, 1990, 2011). However,
this definition has been described as one of convenience
regarding those constructs most readily comprehensible
to Western audiences (Kabat-Zinn, 2011).
4 Van Dam et al.
Alternative semantic interpretations
of “mindfulness”
Although concerted efforts have been made to provide
consensus descriptions of mindfulness (Analayo, 2003;
Bishop et al., 2004; Bodhi, 2011; Brown, Ryan, &
Creswell, 2007; Grabovac, Lau, & Willett, 2011;
Gunaratana, 2002; Hölzel et al., 2011; Malinowski,
2013; S. L. Shapiro, Carlson, Astin, & Freedman, 2006;
Vago & Silbersweig, 2012), there continue to be con-
siderable variations regarding the meaning of “mindful-
ness.” The resulting debates within and across
complementary scholarly disciplines that encompass
the investigation and practice of mindfulness and medi-
tation more generally are diverse and complex (see
Contemporary Buddhism, 2011, vol. 12, no. 1; Psycho-
logical Inquiry, 2007, vol. 18, no. 4). Given such con-
siderations, one should not be especially surprised that
some people have refrained from accepting Kabat-
Zinn’s (1990) definition of “mindfulness,” or else have
interpreted it in different, sometimes conflicting, ways.
Kabat-Zinn (2011) himself has acknowledged that the
term represents (to him) a much broader scope of
concepts and practices than what his earlier (1990)
definition might suggest.
Scientific implications of semantic
ambiguity in the meaning of
The ramifications of considerable semantic ambiguity
in the meaning of mindfulness are multifarious. Any
study that uses the term mindfulness must be scrutinized
carefully, ascertaining exactly what type of “mindful-
ness” was involved, and what sorts of explicit instruction
were actually given to participants for directing practice,
if there was any practice involved. If the definition of
mindfulness is based on self-report measures, one
should be aware of the nuances of the various measures,
how they relate to each other and/or conceptualizations
of mindfulness (see Table 1; Bergomi, Tschacher, &
Kupper, 2013; Sauer etal., 2013), as well as how differ-
ent individuals might interpret the items on these mea-
sures (cf. Grossman & Van Dam, 2011). It should be
further noted that self-reported mindfulness may not
relate to the actual practice of mindfulness meditation
(cf. Manuel etal., 2017). When formal meditation was
used in a study, one ought to consider whether a spe-
cifically defined type of mindfulness or other meditation
(cf. Lutz, Slagter, Dunne, & Davidson, 2008) was the
target practice (see, e.g., Braun, 2013; McMahan, 2008).
Table 1. Mindfulness Measures
Publication Date Name Context
2001 Freiburg Mindfulness Inventory (FMI) Buddhist theory 565 1. General
2003 Mindful Attention and Awareness Scale
Self-determination theory 5,054 1. Attentiveness and
2004 Kentucky Inventory of Mindfulness
Skills (KIMS)
Dialectical behavior
1,449 1. Observing
2. Describing
3. Awareness
4. Acceptance
2006 Five Facet Mindfulness Questionnaire
2,660 1. Nonreactivity
2. Observing
3. Awareness
4. Describing
5. Nonjudging
2006 Toronto Mindfulness Scale (TMS) Bishop etal. (2004) 648 1. Curiosity
2. Decentering
2007 Cognitive and Affective Mindfulness
Scale, Revised (CAMS-R)
Buddhist theory and
Kabat-Zinn (1990)
530 1. Attention
2. Present Focus
3. Awareness
4. Acceptance
2008 Philadelpha Mindfulness Scale
Bishop etal. (2004) 411 1. Acceptance
2. Awareness
2008 Southhamptom Mindfulness
Questionnaire (SMQ)
Kabat-Zinn (1990) and
cognitive theory
297 1. General
2013 State Mindfulness Scale (SMS) Buddhist theory 35 1. Body Mindfulness
2. Mind Mindfulness
aGoogle Scholar, October 20, 2016.
Critical Evaluation of Mindfulness Research 5
In addition, while there is no single definition of mind-
fulness, it is important to examine whether the authors’
specified definition is consistent with their study
Consequences of semantic ambiguity
for empirical studies of “mindfulness”
Although most mindfulness training has been derived
from the original MBSR model (Kabat-Zinn, 1990), the
intensity (hours per day) and duration (total time com-
mitment) of participants’ formal practice have varied
considerably across different versions of training
(Davidson & Kaszniak, 2015; Tang etal., 2007; Zeidan
etal., 2011). The particular methods for teaching and
practicing “mindful” states have varied, too. However,
published journal abstracts and media reports about
obtained results often gloss over such crucial variations,
leading to inappropriate comparisons between what
might be fundamentally different states, experiences,
skills, and practices.
Different definitions of skilled expertise. The defi-
nitions of “novice” and “expert” or “adept” (with respect
to those with meditation experience) have varied consid-
erably from study to study. Some investigators have con-
sidered novices to be individuals with some but not
extensive prior formal meditation experience (e.g., up to
a few hundred hours of practice; Kozasa et al., 2012;
Lutz, Dunne, & Davidson, 2007). Others have applied a
much stricter criterion, deeming novices only to be indi-
viduals with absolutely no prior meditation experience
(e.g., Brewer etal., 2011). Further increasing this confu-
sion, some approaches to investigating “mindfulness”
(e.g., Hayes, Strosahl, & Wilson, 1999; Linehan, 1993) do
not require any systematic training to become “skilled” in
the practice, nor do they require participants to sustain a
given experiential state (e.g., present-moment focus, or
compassionate engagement) any longer than necessary
to achieve a putative beneficial effect.
Consequences of semantic
ambiguity for theoretical models of
According to proposed theoretical models of mindful-
ness, there are clear mental processes and brain mecha-
nisms that might facilitate insight and adaptive personal
change, such as psychological distancing/reperceiving
(S. L. Shapiro etal., 2006), decentering and inhibitory
control (Vago & Silbersweig, 2012), nonconceptual dis-
criminatory awareness (Brown etal., 2007), acceptance
and reintegration (Hayes etal., 1999; Linehan, 1993),
or focused attention, decentering, and meta-awareness
(Lutz, Jha, Dunne, & Saron, 2015; Meyer, 2009). Some
of these processes and/or outcomes may be evident on
a continuum, suggesting gradual growth with practice
over time, whereas others may emerge significantly
only in experienced practitioners (i.e., individuals who
have engaged in formal sitting meditation or other con-
templative practices such as hatha yoga, over a lengthy
period of time; e.g., van Vugt & Slagter, 2014). Potential
changes to various cognitive capacities as a result of
mindfulness practice are not specific to clinical con-
texts; it also informs the limits, capacities, and nature
of various cognitive functions and how those functions
might be modified. However, the aforementioned com-
plexity, confounding, and confusion that surrounds
empirical research on “mindfulness” limits the potential
of the method to inform broad questions and inform
specific theories. The extent to which a specific model
is supported or disconfirmed by particular sets of
empirical data or systematic observations depends on
the meaning of “mindfulness” that inspired data acquisi-
tion. For example, it is nearly impossible to test whether
decentering has occurred if one has not obtained a
measure of it. Support for a model will also depend on
compliance with experimenter/clinician instructions
(Davidson & Kaszniak, 2015). No one theoretical model
(e.g., Garland, Farb, Goldin, & Fredrickson, 2015;
Grabovac etal., 2011; Hölzel etal., 2011; S. L. Shapiro
etal., 2006; Vago & Silbersweig, 2012) can possibly
describe, explain, and predict all of the phenomena
stemming from the panoply of facets that “mindfulness,
broadly construed, can have. Thus, it will be critical,
going forward, to generate new integrative models and
to track which data support which models.
Integrative assessment
Consensus about the semantic ambiguity of “mind-
fulness.” “Mindfulness” does not constitute a unitary
construct, though it frequently includes aspects of paying
attention in a specific, sustained, nonjudgmental way
(Kabat-Zinn, 1990). Buddhist scholars suggest it often
entails attention, awareness, memory/retention, and dis-
cernment (cf. Bodhi, 2011; Dreyfus, 2011; Dunne, 2011;
Gethin, 2011). Self-report measures often highlight atten-
tion, awareness, and acceptance or nonjudgment (rather
than discernment; see Table 1). The field, broadly
defined, seems to agree that mindfulness entails attention
and awareness with some important qualifiers about the
nature of those faculties. It is also evident that mindful-
ness is part of some broader collection of goals and atti-
tudes (Gethin, 2011; Kabat-Zinn, 2011). From a historical
perspective, the attitudes qualifying attention and aware-
ness are those accompanying some higher pursuit (e.g.,
6 Van Dam et al.
enlightenment), including recognition/awareness, tran-
quility, concentration, equanimity, energy, joy, and dis-
crimination (Gethin, 2011). Ultimately, degree of fidelity
to historical definitions may not necessarily matter to
definitions of mindfulness applied in modern practice
(Dreyfus, 2011; Gethin, 2011), though historical defini-
tions can provide important context and insight into the
nature of mindfulness practice and its potential mecha-
nisms (cf. Kabat-Zinn, 2011). Finally, the type of mindful-
ness putatively measured by contemporary cross-sectional
research is not necessarily the same as what contempo-
rary mindfulness training/meditation seeks to cultivate
(see Manuel etal., 2017), which itself can differ from the
mindfulness practiced by long-term meditators in various
contemplative traditions relative to one another (Grossman
& Van Dam, 2011).
Prescriptive research agenda: Transcending the
prevalent ambiguity. Given current confusion sur-
rounding “mindfulness,” we urge scientists, practitioners,
instructors, and the public news media to move away from
relying on the broad, umbrella rubric of “mindfulness” and
toward more explicit, differentiated denotations of exactly
what mental states, processes, and functions are being
taught, practiced, and investigated. Toward this end, we
have provided a nonexhaustive list of defining features for
characterization of contemplative and meditation practices
(see Table 2). We have divided these features into primary
(i.e., critical to most practices) and secondary (i.e., only
critical to some practices). While this list is nonexhaustive,
common use of this list of descriptors (or a comparable
list) would permit the field to move beyond the many
ambiguities of definition it is currently facing. Other exam-
ples of fundamental feature lists can be found in both sci-
entific (e.g., Lutz et al., 2015) and contemplative (e.g.,
Analayo, 2003) literatures. For those studies using self-
report measures, we encourage users to list the exact mea-
sure and to discuss the aspects of “mindfulness” that the
utilized measure characterizes (see, e.g., Table 1). These
suggestions address only terminology and do not neces-
sarily provide ways to overcome the variation in the pano-
ply of contextual factors surrounding mindfulness and/or
meditation practice (e.g., type and training of instructor,
regularity of meetings, group vs. individual practice, home
practice type and amount, etc.). To resolve issues sur-
rounding the implementation of mindfulness and/or other
meditation-based training/intervention, we recommend
development of something similar to a CONSORT check-
list (Moher, Schulz, & Altman, 2001) that could be imple-
mented across studies (see Table 3).
Table 2. Nonexhaustive List of Defining Features for Characterization of Meditation Practice
Feature Definition Variation in Feature
Primary features
Arousal Extent of alertness, awakeness, etc. Low, medium, high
Orientation (of attention) Where attention is directed Inward vs. outward vs. no orientation
Spatial “dynamic” (of attention) The quality of attention in space Fixed (e.g., on an object or location) vs.
moving (e.g., as in the body scan)
Temporal “dynamic” (of attention) The quality of attention in time Constant/stable vs. rhythmic/sporadic
Object (of attention) Attention can be fixed on none, one, two,
or many objects
Specific (i.e., defined object[s]) vs. aspecific
(i.e., no well-defined object[s]) vs. none
(i.e., no object of attention)
Aperture (of attention) How “sharply” the spotlight of attention is
Narrow vs. intermediate vs. diffuse
Effort The extent to which one exerts energy to
achieve other features
Low, medium, high
Secondary features
Complementary activity Physical activity to facilitate desired
Walking, mantra recitation, dancing,
rhythmic movement, etc.
Affective valence Emotional tone of practice Positive vs. neutral vs. negative
Emotional intention A desired emotional state (to be cultivated) Loving-kindness, compassion, forgiveness,
generosity, etc.
Motivation/goal The rationale/reason for the practice Wellness, mitigation of illness, self-
improvement, enlightenment
Proficiency required Level of skill or expertise necessary Low, medium, high
Posture Physical orientation of body during
Horizontal (e.g., lying down) vs. intermediate
(e.g., sitting) vs. vertical (e.g., standing)
Critical Evaluation of Mindfulness Research 7
Methodological Issues in Mindfulness
Meditation Research
Complementing our commentary about the problematic
meanings of “mindfulness,” several major methodologi-
cal issues in mindfulness meditation research should
be considered as well. Such consideration is essential
to achieve the present goals of providing a more bal-
anced perspective on the pros and cons of practicing
mindfulness, and on the weaknesses of currently avail-
able empirical findings about its efficacy. Specifically,
we are concerned about four distinct but related types
of issue: (a) insufficient construct validity in measures
of mindfulness, (b) challenges to (clinical) intervention
methodology, (c) potential adverse effects from practic-
ing mindfulness, and (d) questionable interpretations
of data from contemplative neuroscience concerning
the mental processes and brain mechanisms underlying
Relation to the “replication crisis” in
psychological science
Worries over scientific integrity and reproducibility of
empirical findings have recently come to the fore of
both psychological science and wider swaths of other
basic and applied sciences, receiving considerable
attention in both the scientific literature (Button etal.,
2013; Ioannidis, 2005, 2012; Miguel etal., 2014; Open
Science Collaboration, 2012; Pashler & Wagenmakers,
2012) and public news media (Freedman, 2010; Johnson,
2014a, 2014b; Lehrer, 2010; Nyham, 2014). As part of
these developments, debates regarding the efficacy and
safety of treatment interventions have also embroiled
the behavioral and neuropsychiatric sciences (Baker,
McFall, & Shoham, 2008; Button etal., 2013; Fanelli,
2010; Ioannidis, 2005; Munafò, Stothart, & Flint, 2009;
Simmons, Nelson, & Simonsohn, 2011; Yarkoni,
Poldrack, Van Essen, & Wager, 2010). Although our
present focus is on methodological issues to which
mindfulness research is especially vulnerable, it is impor-
tant to take account of this broader self-examination
currently underway in the scientific community. Contem-
plative science (i.e., the scientific study of contemplative
practices including, but not limited to, mindfulness medi-
tation) is particularly vulnerable to “hype” of various
sorts (i.e., tendencies to tout exaggerated positive and
negative claims).
Insufficient construct validity in
measuring mindfulness
One of the disclaimers on offer here concerns construct
validity in measuring mindfulness. For obvious reasons,
Table 3. Nonexhaustive List of Study Design Features for a Mindfulness-Based Intervention
Teacher information Number/type of retreats attended?
Experience in contemplative instruction (general and specific)?
Formal contemplative training?
Formal clinical qualifications?
Blinded to experimental hypotheses?
Practice information Setting(s)?
Physical (e.g., hospital room, university lecture hall, etc.)
Social (e.g., individual vs. group—if group, cohesion, size)
Overall duration (e.g., 8 weeks, 12 weeks, 3 months, etc.)?
Frequency of meetings?
Average length of meetings?
Types of formal practice (e.g., body scan, breath meditation, walking meditation, etc.)?
Approximate total % of each type of practice?
Types of informal practice?
Logs maintained? Practice reviewed in session? Guided?
Types of instructional materials used (e.g., mindfulness-based stress reduction workbook)
General information Instructor adherence assessed?
Control group used?
Randomization/allocation method?
Adverse events monitored?
Participant info Inclusion/exclusion criteria?
Prior meditation experience?
Conflicts of interest Formal: funding agency
Informal: Any possible financial benefit from results of study?
8 Van Dam et al.
this concern is crucial to our present objectives. Lacking
reasonably validated mindfulness measures, one can
neither properly determine how this mental faculty
changes through instructions and guided practice, nor
can one assess how increased mindfulness affects the
cognitive capacities and/or symptoms of various mental
and physical dysfunctions.
Difficulties in operationalizing and measuring
mindfulness. Given the aforementioned absence of
consensus regarding definitions of “mindfulness,” the
operationalization and measurement of mindfulness are
challenging endeavors. These difficulties have propagated
to affect both (a) mindfulness practice and (b) assess-
ments of mindfulness as a mental state or personality trait.
Different researchers have implemented varying mindful-
ness training approaches across studies (e.g., Davidson,
2010), creating challenges for identifying common effects.
We are especially concerned about attempts to measure
mindfulness via self-report (see, e.g., Grossman & Van
Dam, 2011) because, as Figure 2 indicates, a large fraction
of recent research studies has used questionnaires for
their primary assessment of mindfulness (consistent with
a broader trend toward measuring psychological con-
structs via self-report; e.g., Baumeister, Vohs, & Funder,
Problematic aspects of self-report questionnaires. A
major challenge to construct validity in psychological
assessment is due to reluctance of the field to move
beyond logical positivism, a philosophical position that
suggests theories are direct derivations of that which can
be empirically observed (Green, 1992). Fueled by the
prominence of behaviorism, which continues to play a
prominent role in contemporary psychology (see, e.g.,
Plaud, 2001), the logical positivistic approach posits that a
given measure is equivalent to the construct it purports to
measure. In contrast, an alternative, nonjustificationist
view suggests that a given measure is merely an approxi-
mation of a construct (Embretson, 1983; M. E. Strauss &
Smith, 2009). It is important that philosophical views on
construct validity can influence the ways that measures
are designed and validated. One contemporary extension
of logical positivism (which itself would reject the very
idea of a construct) seems to be that nomothetic span
(e.g., the extent to which a measure converges or diverges
from other measures that are related or unrelated, respec-
tively) is all that is needed for construct validity. In con-
trast to the positivistic view, construct representation (e.g.,
the psychological processes that give rise to responses on
instruments that purport to measure the construct) is criti-
cal to construct validity (Embretson, 1983; M. E. Strauss &
Smith, 2009).
Questionnaire-based scales that purport to measure
mindfulness offer, at best, modest evidence of nomo-
thetic span. Mindfulness does reliably correlate with
other constructs such as emotional intelligence, self-
compassion, psychological symptoms, thought suppres-
sion, emotion regulation, alexithymia, dissociation, and
absent-mindedness (e.g., Baer, Smith, Hopkins, Kritemeyer,
& Toney, 2006). However, these findings may actually be
suggestive of a lack of differentiation from broad features
of personality and temperament; meta-analysis of mind-
fulness measures suggests a strong negative relation-
ship to neuroticism and negative affect (Giluk, 2009).
As an alternative, it may suggest that at least some
measures of mindfulness relate to general vulnerabili-
ties or skills that are developed across interventions. In
other words, these vulnerabilities and/or skills may not
be specifically related to mindfulness, an idea sup-
ported by increases in mindfulness across both MBSR
and an active control condition (Goldberg etal., 2015).
Additional psychometric concerns, largely relating to
construct representation, about self-report mindfulness
also exist. Notably, several of these scales exhibit differ-
ent factor structures and response properties between
meditators and nonmeditators (e.g., Christopher,
Charoensuk, Gilbert, Neary, & Pearce, 2009; Van Dam,
Earleywine, & Danoff-Burg, 2009), as well as before and
after mindfulness training (e.g., Gu etal., 2016). These
findings suggest lack of equivalence on a common
underlying latent variable, as well as change in how the
items are interpreted. One possible reason for this has
to do with demand characteristics; one who has prac-
ticed mindfulness meditation may understand and value
items differently than someone who has not practiced
Fig. 2. Articles in academic journals by content type. Scopus search
limited to articles in academic journals only, published between 1970
and 2014, keyword mindfulness or meditation for overall search;
Brain NOT Questionnaire and Questionnaire NOT Brain as additional
key terms.
Critical Evaluation of Mindfulness Research 9
(though see Baer, Samuel, & Lykins, 2011)—a potential
conflation of desire to be “mindful” with actually being
“mindful” (cf. Grossman, 2011). Of additional concern,
mindfulness measures have not always favored the group
one might expect to be more mindful; in one case, expe-
rienced meditators were less “mindful” than binge drink-
ers (Grossman & Van Dam, 2011; Leigh, Bowen, &
Marlatt, 2005). Moreover, mindfulness questionnaires do
not always correlate with mindfulness meditation prac-
tice (Manuel etal., 2017) and the underlying latent vari-
able influencing item response on certain scales may be
reflective of some general feature such as inattentiveness
(Van Dam, Earleywine, & Borders, 2010).
Self-report-based measures of mindfulness may be
particularly vulnerable to limitations of introspection
because participants may not know exactly which
aspects of mental states should be taken into account
when making personal assessments. Moreover, making
“on-line” judgments about degrees of mindfulness
requires a special kind of multitasking (Meyer, 2009).
In addition, social-desirability biases may be especially
pronounced in self-reports about “mindfulness.” This is
because participants/patients often learn to expect/
value improved attention, equanimity, and so forth,
while experimenters often fail to hide their hopes that
participants will grow in their adeptness at these mental
faculties (cf. Jensen etal., 2012).
Consensus about construct validity in measuring
“mindfulness. Some promise exists toward more accu-
rate mindfulness measures via subjective report of behav-
ioral indicators (e.g., breath counting; Frewen, Evans,
Maraj, Dozois, & Partridge, 2007; Frewen, Lundberg,
MacKinley, & Wrath, 2011; Levinson, Stoll, Kindy, Merry, &
Davidson, 2014). Yet potential pitfalls exist even in these
new measures (Ring, Brener, Knapp, & Mailloux, 2015).
Although some self-report questionnaire measures of
mindfulness seem to be effective in revealing particular
mental and physical changes associated with practicing
mindfulness (e.g., Baer, 2011), how closely these mea-
sures track exactly what is taught during practice remains
unclear. While some investigators have implied that
increased mindfulness improves the quality of partici-
pants’ introspections (Lutz etal., 2007; Mrazek, Smallwood,
& Schooler, 2012; Zanesco, King, MacLean, & Saron,
2013), this claim has not been well established (cf. Fox
etal., 2012; Levinson etal., 2014; Sze, Gyurak, Yuan, &
Levenson, 2010; Whitmarsh, Barendregt, Schoffelen, &
Jensen, 2014). Nor is it entirely obvious how one could
veridically establish such a claim, for doing so would
require accurate “third-person” evidence about the sub-
jective contents of an introspector’s “first-person” con-
sciousness (cf. Lutz, Lachaux, Martinerie, & Varela, 2002).
It is ironic that were it shown that mindfulness practice
improves the quality of participants’ introspections, this
might deepen other problems in mindfulness research. For
example, if mindfulness-based enhancements of intro-
spective accuracy are real, such enhancements could
increase honest responding, thereby exacerbating between
group confounds.
Perhaps because of such pitfalls in introspection,
many studies have focused instead on neurobehavioral
performance, attempting to assess mindfulness indirectly
(e.g., Brewer etal., 2011; Ferrarelli etal., 2013; Jha,
Krompinger, & Baime, 2007; Lao, Kissane, & Meadows,
2016; Lutz, Greischar, Perlman, & Davidson, 2009; Sahdra
etal., 2011). However, these studies have inconsistent
and sometimes contradictory empirical findings about
the effects of mindfulness training on various basic cog-
nitive and behavioral capacities (e.g., Jha etal., 2007;
Lao etal., 2016). Some promising preliminary examples
include studies that involved different types of mindful-
ness training leading to modest improvements in the
efficiency of attention, orienting, and executive cognitive
control after varying types of practice ( Jha etal., 2007;
Sahdra etal., 2011; Slagter etal., 2007; Tang etal., 2007;
Van den Hurk, Giommi, Gielen, Speckens, & Barendregt,
2010). Even when statistically significant, the magnitudes
of observed cognitive effects stemming from mindfulness
practices have been rather small (Chiesa, Calati, &
Serretti, 2011; Sedlmeier etal., 2012).
Prescriptive research agenda: Measuring aspects of
mindfulness. Given the cultural history and multitude
of contextual variations in the term mindfulness, scientific
research on the aggregate of mental states labeled by it
would benefit from redirecting attempts to directly mea-
sure mindfulness toward measuring supporting mental
faculties. The situation is similar to the psychological
study of “intelligence.” Because of complexities, historical
efforts to obtain a single unitary measure of general intel-
ligence evolved to studying particular cognitive capaci-
ties, that, in combination, may make people functionally
more or less intelligent (cf. Neisser etal., 1996).
Paralleling such evolution, we recommend that
future research on mindfulness aim to produce a body
of work for describing and explaining what biological,
emotional, cognitive, behavioral, and social, as well as
other such mental and physical functions change with
mindfulness training. There are two broadly useful con-
texts in which to approach this problem. The first is to
use a multimodal approach wherein first- and third-
person (i.e., neurobiological and/or behavioral) assess-
ments are used to mutually inform and identify one
another (cf. Lutz etal., 2015; Lutz et al., 2002). This
constitutes a more theory-driven approach to the prob-
lem of understanding mindfulness. A data-driven alter-
native might be comparable to how individuals in
10 Van Dam et al.
affective neuroscience have used advanced algorithms
to integrate physiological and neurobiological signals
toward understanding emotional states (cf. Kragel &
LaBar, 2014). A second context is to focus on the indi-
rect impact of mindfulness practice, such as how medi-
tation practice might lead to more effective therapists
via assessing patient outcome (cf. Grepmair etal., 2007)
or how mindfulness might improve caregiver efficacy
via assessment of significant others (cf. Singh etal.,
2004). Another approach within this domain might be
to examine how mindfulness practice can lead to
changes in observable behaviors such as eating patterns
or interpersonal exchanges (Papies, Pronk, Keesman,
& Barsalou, 2015), the latter especially as reported by
friends or partners of those undergoing mindfulness
and/or meditation training (e.g., Birnie, Garland, &
Carlson, 2010). In addition, researchers should situate
future process models of mindfulness within extant
rigorous theoretical frameworks for cognition and emo-
tion whereby empirical predictions and falsifiable con-
ceptual hypotheses can be tested (e.g., Meyer, 2009;
Vago & Silbersweig, 2012). Frameworks based on com-
putational modeling may be especially helpful for such
purposes (e.g., Anderson etal., 2004; Meyer & Kieras,
Challenges for clinical intervention
Numerous intervention studies have been conducted to
assess whether, and by how much, practicing mindful-
ness may help alleviate various undesirable mental and
physical conditions, including pain, stress, anxiety,
depression, obesity, addiction, and others. Dimidjian
and Segal (2015) estimate, using the NIH stage model
for clinical science (Onken, Carroll, Shoham, Cuthbert,
& Riddle, 2014), that only 30% of research using mind-
fulness-based interventions (MBIs) has moved beyond
Stage 1 (intervention generation/refinement). The major-
ity (20%) of research beyond Stage 1 has been con-
ducted at Stage 2a (efficacy in research clinic: compared
to wait-list control or treatment as usual), with a mere
9% (of the total) at Stage 2b (efficacy in research clinic:
compared to active control). Moreover, only 1% of all
research has been conducted outside research contexts,
a woefully inadequate research base to inform whether
MBIs are ready for use in regular clinical practice, as is
the case in the United Kingdom (Coyne, 2015b, 2016).
As a result, some have blatantly stated that “widespread
use is premature” (Greenberg & Harris, 2012).
Haphazard variability across MBIs. Given the lack
of consensus about what “mindfulness” means and how
it should be operationalized, MBIs have varied greatly in
the diverse types of practice, methods of participant
training, and duration of instructional courses associated
with them. The “gold-standard model” of an MBI has
been the 8-week mindfulness-based stress reduction
(MBSR; Kabat-Zinn, 1990) course, involving 20 to 26
hours of formal meditation training during 8 weekly
group classes (1.5–2.5 hours/class), one all-day (6 hours)
class, and home practice (about 45 minutes/day, 6 days/
week). Throughout the 8 weeks, formal MBSR training
has included an eclectic set of specific mindfulness
practices—focused attention on the breath, open moni-
toring of awareness in “body-scanning” (cf. Lutz etal.,
2008), prosocial meditation (e.g., loving kindness and
compassion), and gentle hatha yoga.
“Spin-off” MBIs vary in content and form depending
on the participant populations for which they were
adapted and the accompanying idiosyncratic objectives
of individual investigators (cf. Shonin, Van Gordon, &
Griffiths, 2013). For example, interventions such as
mindfulness-based cognitive therapy (MBCT; Segal,
Williams, & Teasdale, 2002) have incorporated aspects
of cognitive behavioral therapy (CBT, widely consid-
ered the most researched and empirically based psy-
chotherapy, focuses on the relationship between
thoughts, emotions, and behaviors, most commonly
with a focus on changing thought and behavioral pat-
terns; Tolin, 2010). Notably, there are also a number of
psychotherapies that draw on “mindful” principles, but
are more commonly associated with traditional CBT (cf.
Hofmann & Asmundson, 2008); these include accep-
tance and commitment therapy (Hayes etal., 1999) and
dialectical behavior therapy (Linehan, 1993). We focus
our discussions of MBIs on those interventions that
utilize formal meditation techniques (namely, derivatives
of MBSR), as they arguably differ in origin from those
interventions more closely tied to cognitive and/or
behavioral therapy (cf. Dimidjian & Segal, 2015; Hayes,
2002; Kabat-Zinn, 2011; Robins, 2002). Moreover, inter-
ventions that formally employ meditation practices differ
in therapeutic delivery from those that do not formally
employ such practices, though this distinction has
become muddied as mindfulness and meditation have
enjoyed greater mainstream popularity.
The duration of MBIs have been altered dramatically
to conform with brief training regimens that may involve
as few as four 20-minute sessions (e.g., Papies, Barsalou,
& Custers, 2012; Zeidan etal., 2015). Some newer MBIs
have even implemented web-based or mobile applica-
tions for treatment delivery (Cavanaugh etal., 2013;
Dimidjian etal., 2014; Lim, Condon, & DeSteno, 2015).
Given the variety of practices that fall under the
umbrella of MBI, the adoption of mindfulness as a
prescriptive clinical treatment has not entailed a con-
sistent type of intervention. While there is considerable
Critical Evaluation of Mindfulness Research 11
variability in other practices of psychotherapy as well,
specific classes of intervention (e.g., CBT) at least tend
to have sufficient consistency with one another (in
terms of content and format) to provide a basis for
broad evaluation of their efficacy (cf. Tolin, 2010). In
contrast, the varieties of interventions labeled as “mind-
ful” are as varied as the definitions of the construct
(differing in content, meeting type/frequency, instruc-
tions, homework, readings, instructor/therapist training
and accessibility, etc.). Extreme caution must be exer-
cised when considering mainstream implementation of
minimally tested adaptations of more traditional MBIs
(Dimidjian & Segal, 2015).
Misperceptions of therapeutic efficacy. Despite the
preceding list of concerns, there is a common mispercep-
tion in public and government domains that compelling
clinical evidence exists for the broad and strong efficacy
of mindfulness as a therapeutic intervention (e.g., Coyne,
2016; Freeman & Freeman, 2015). Results from some
clinical studies conducted over the past 10 years have
indicated that MBCT may be modestly helpful for some
individuals with residual symptoms of depression
(Eisendrath etal., 2008; Geschwind, Peeters, Huibers, van
Os, & Wichers, 2012; van Aalderen etal., 2012). As a con-
sequence of select results, published in high-profile jour-
nals, MBCT is now officially endorsed by the American
Psychiatric Association for preventing relapse in remitted
patients who have had three or more previous episodes
of depression. Moreover, the U.K. National Institute for
Health and Clinical Excellence now even recommends
MBCT over other more conventional treatments (e.g.,
SSRIs) for preventing depressive relapse (Crane &
Kuyken, 2012). Mitigating such endorsements, a recent
meta-analysis found that MBSR did not generally benefit
patients susceptible to relapses of depression (C. Strauss,
Cavanagh, Oliver, & Pettman, 2014). Other meta-analysis
have suggested general efficacy of MBIs for depressive
and anxious symptoms (Hofmann, Sawyer, Witt, & Oh,
2010), though head-to-head comparisons of MBIs to
other evidence-based practices have resulted in mixed
findings, some suggesting comparable outcomes, others
suggesting MBIs might be superior in certain conditions,
and others suggesting CBT is superior in certain condi-
tions (e.g., Arch et al., 2013; Goldin et al., 2016;
Manicavasgar, Parker, & Perich, 2011). There is also mixed
evidence comparing MBIs to interventions such as pro-
gressive muscle relaxation (e.g., Agee, Danoff-Burg, &
Grant, 2009; Jain etal., 2007). Direct comparisons of MBIs
to empirically established treatments are limited.
In a recent review and meta-analysis commissioned
by the U.S. Agency for Healthcare Research and Quality,
MBIs (compared to active controls) were found to have
a mixture of only moderate, low, or no efficacy,
depending on the disorder being treated. Specifically,
the efficacy of mindfulness was only moderate in reduc-
ing symptoms of anxiety, depression, and pain. Also
efficacy was low in reducing stress and improving qual-
ity of life. There was no effect or insufficient evidence
for attention, positive mood, substance abuse, eating
habits, sleep, and weight control (Goyal etal., 2014).
These and other limitations echoed those from a report
issued just 7 years earlier (Ospina etal., 2007). The lack
of improvement over these 7 years in the rigor of the
methods used to validate MBIs is concerning; indeed
if research does not extend beyond Stage 2A (compari-
son of MBI to wait-list control), it will be difficult, if
not impossible, to ascertain whether MBIs are effective
in the real world (cf. Dimidjian & Segal, 2015). On bal-
ance, much more research will be needed before we
know for what mental and physical disorders, in which
individuals, MBIs are definitively helpful.
Consensus about clinical intervention methodol-
ogy. MBIs are sometimes misleadingly described as
“comparable” to antidepressant medications (ADMs)
(Goyal etal., 2014). Such comparability has been tenta-
tively supported by results from studies examining MBIs
versus ADMs for depressive relapse in recurrent depres-
sion (Kuyken etal., 2015; Segal et al., 2010). Notably,
there are large individual differences in efficacy: MBIs
may be beneficial for some people, but may be ineffec-
tive or contraindicated for others (Dobkin, Irving, &
Amar, 2011). Special care is therefore needed when inter-
preting results from clinical studies employing MBIs,
many of which have lacked “active” control conditions.
Given the absence of scientific rigor in clinical mindful-
ness research (Davidson & Kaszniak, 2015; Goyal etal.,
2014), evidence for use of MBIs in clinical contexts
should be considered preliminary.
The official standards of practice for MBSR exclude
suicidality and the presence of any psychiatric disorder
(Santorelli, 2014). Case-by-case exceptions are permis-
sible by these standards if, and only if, an individual
participant is willing and able to simultaneously main-
tain adequate medical treatment for the exclusionary
condition or if an instructor has sufficient clinical train-
ing to manage the case at hand (Santorelli, 2014). The
American Psychiatric Association (D. H. Shapiro, 1982),
the U.S. National Institutes of Health (NIH; National
Center for Complementary and Integrative Health,
2016b), and leading researchers in the field (Dobkin
etal., 2011; Greenberg & Harris, 2012; Lustyk, Chawla,
Nolan, & Marlatt, 2009) have expressed concerns that
meditation may be contraindicated under several circum-
stances. Numerous authors have recommended that
schizophrenia spectrum disorders, bipolar disorder, post-
traumatic stress disorder, depression, and risk factors for
12 Van Dam et al.
psychosis (e.g., schizoid personality disorder) are con-
traindications to participation in an MBI that is not
specifically tailored to one of these conditions (Didonna
& Gonzalez, 2009; Dobkin etal., 2011; Germer, 2005;
Kuijpers, van der Heijden, Tuinier, & Verhoeven, 2007;
Lustyk etal., 2009; Manocha, 2000; Walsh & Roche,
1979; Yorston, 2001). The rationale for these contrain-
dications is that without sufficient clinical monitoring,
an intervention not designed to address these issues
could lead to deterioration or worse. Such contraindica-
tions should be considered exclusionary criteria for
regular clinical practice until substantially more evi-
dence about the efficacy of various MBIs becomes
Prescriptive research agenda: Strengthening clini-
cal intervention methods. Replication of earlier stud-
ies with appropriately randomized designs and proper
active control groups will be absolutely crucial. In con-
ducting this work, we recommend that researchers pro-
vide explicit detail of mindfulness measures (see, e.g.,
Table 1), primary outcome measures, mindfulness/medi-
tation practices (see Table 2), and intervention protocol
(see Table 3). While active control groups for MBIs can
be difficult to implement for a variety of reasons
(Davidson & Kaszniak, 2015), the problem is not insur-
mountable (see, e.g., MacCoon etal., 2012) and has been
resolved by those conducting more traditional psycho-
therapy research (e.g., Agee etal., 2009; Arch etal., 2013;
Goldin etal., 2016; Jain etal., 2007; Manicavasgar etal.,
2011). In addition, researchers must be explicit about the
exact hypothesis they are testing (noninferiority to an
established treatment, superiority to an established treat-
ment, etc.) and consider the various limitations that might
accompany treatment designs (see, e.g., Coyne, 2015a).
Because of potential confirmation biases (Rosnow,
2002) and allegiance effects (Martin, Garske, & Davis,
2000), clinical research ideally would involve multidis-
ciplinary teams of investigators. These teams should
consist of not only clinicians, but also basic research
scientists, scholars from within classical mindfulness
traditions, and scientists/scholars skeptical about mind-
fulness’s efficacy. An especially compelling research
strategy could involve adversarial collaboration (see,
e.g., Matzke etal., 2015). Moreover, future clinical stud-
ies should not rely merely on self-report and assess-
ments by clinicians, but also incorporate biological and
behavioral efficacy measures.
Harm, adverse effects, and fallout of
meditation practices
Much of the public news media has touted mindfulness
as a panacea for what ails human kind (e.g., Chan,
2013; Firestone, 2013), overlooking the very real
potential for several different types of harm. According
to directors of the National Center for Complementary
and Integrative Health (NCCIH) at the NIH, the biggest
potentials for harm of complementary treatments (e.g.,
meditation) are “unjustified claims of benefit, possible
adverse effects . . . and the possibility that vulnerable
patients with serious diseases may be misled” (Briggs
& Killen, 2013). Identifying “harm,” “side effects,” or
“adverse effects” is complicated by issues related to
definitions and measurement, which will be addressed
in turn.
Coming to terms with meditation-related adverse
effects. An adverse effect or event (AE) is any unwanted,
harmful effect that results from but is not the stated goal
of a given treatment. A side effect is any unexpected
effect that is secondary to the intended effect of the treat-
ment (M. Linden, 2013). An event can also be categorized
a “side effect” if it is not described in the “product label-
ing,” “package insert,” “marketing or advertising” (NIA,
2011; Office for Human Research Protections, 2007)—
descriptions that are often lacking for meditation prac-
tices (and behavioral interventions more generally,
despite a comparable incidence of AEs to pharmacologi-
cal treatments; Crawford et al., 2016; M. Linden, 2013;
Mohr, 1995; Moos, 2005, 2012). Whether the result of cor-
rect or incorrect treatment, a treatment-emergent reaction
may include the appearance of novel symptoms that did
not exist before treatment, or the exacerbation or reemer-
gence of a preexisting condition. Treatment nonresponse
or deterioration of (target) illness may or may not be
caused by the treatment (M. Linden, 2013) but requires
both reporting and action.
Meditation-related experiences that were serious or
distressing enough to warrant additional treatment or
medical attention have been reported in more than 20
published case reports or observational studies. These
reports document instances of meditation-related or
“meditation-induced” (i.e., occurring in close temporal
proximity to meditation and causally attributed to medi-
tation by the practitioner, instructor, or both) psychosis,
mania, depersonalization, anxiety, panic, traumatic-
memory reexperiencing, and other forms of clinical
deterioration (Boorstein, 1996; Carrington, 1977;
Castillo, 1990; Chan-Ob & Boonyanaruthee, 1999;
Disayavanish & Disayavanish, 1984; Epstein & Lieff,
1981; Heide & Borkovec, 1983; Kerr, Josyula, &
Littenberg, 2011; Kornfield, 1979; Kuijpers etal., 2007;
Kutz etal., 1985; Lomas, Cartwright, Edginton, & Ridge,
2015; Miller, 1993; Nakaya & Ohmori, 2010; Sethi, 2003;
D. H. Shapiro, 1992; Shonin, Van Gordon, & Griffiths,
2014b, 2014c; VanderKooi, 1997; Van Nuys, 1973; Walsh
& Roche, 1979; Yorston, 2001). Many of the aforemen-
tioned were case studies, case series, or observational
studies, often without a control group. Only one was
Critical Evaluation of Mindfulness Research 13
prospective (D. H. Shapiro, 1992). Detailed clinical his-
tories were available for some of the subjects, but not
all, which makes the question of preexisting conditions
difficult to evaluate. While qualitative reports and case
studies are an appropriate and necessary first step in
identifying potential AEs (Dimidjian & Hollon, 2010),
the need for AE assessments within more rigorous
designs such as randomized controlled trials (RCTs)
would provide more conclusive information.
Issues in the measurement of adverse effects. Since
safety reporting is required for federally funded clinical
trials, one might expect that the many NIH-funded mind-
fulness or meditation trials would be a rich source of
information about potential AEs with causality assess-
ment inherent in an RCT design. However, most current
methods for assessing AEs in meditation-related research
are insufficient to produce an accurate estimate. Despite
CONSORT requirements (Moher etal., 2001), and com-
pared to 100% of pharmacology trials (Vaughan,
Goldstein, Alikakos, Cohen, & Serby, 2014), less than 25%
of meditation trials actively assess AEs (Goyal etal., 2014;
Jonsson, Alaie, Parling, & Arnberg, 2014), relying instead
on spontaneous reporting, which may underestimate AE
frequency by more than 20-fold (Bent, Padula, & Avins,
2006), and results in widely varying AE rates, even for
similar trials (Kuyken etal., 2015; Kuyken etal., 2016;
J. M. Williams etal., 2014). Different AE assessment meth-
ods (Vaughan etal., 2014) or specifically the lack of sys-
tematic AE assessment in meditation trials has led to the
hasty and erroneous conclusion not only that meditation
is free of AEs (L. Turner etal., 2011), but also that medita-
tion interventions can act as a replacement to medication
for mental illnesses such as depression and bipolar disor-
der (Annels, Kho, & Bridge, 2016; Strawn etal., 2016;
Walton, 2014) with slogans such as “meditate not medi-
cate” (Annels etal., 2016). Furthermore, meditation-related
AEs are discussed in many traditional (largely Buddhist)
meditation guides (Buddhaghosa, 1991; Sayadaw, 1965; B.
Wallace, 2011). Despite the assumption of “wide accep-
tance of minimal, if any, AEs associated with meditation”
(L. Turner etal., 2011), this assumption is largely based on
a lack of research rather than substantive evidence.
Other potential risks of mindfulness medita-
tion. The benefits and the safety of meditation are likely
exaggerated beyond available evidence in a manner that
increases “the possibility that vulnerable patients with
serious diseases may be misled” (Briggs & Killen, 2013).
In the face of such exaggerated claims, patients may be
diverted from pursuing other, more traditional activities
(e.g., regular aerobic exercising) that typically yield phys-
ical and mental benefits (Cotman, Berchtold, & Christie,
2007; Penedo & Dahn, 2005) or standard treatments (e.g.,
psychotherapy, pharmacotherapy) that are better suited
to dealing with particular psychiatric conditions. For
example, in a recent meta-analysis of MBIs, C. Strauss
etal. (2014) concluded, “given the paucity of evidence in
their favour, we would caution against offering MBIs as a
first line intervention for people experiencing a primary
anxiety disorder . . . findings from the current meta-anal-
ysis would suggest great caution if offering MBIs to this
population as a first line intervention instead of a well-
established therapy.” In economics, as well as recent dis-
cussions of psychotherapy, this effect has been labeled
an “opportunity cost” (i.e., time and money invested in a
treatment approach that has little to no therapeutic ben-
efit relative to the potential time/money that could have
been invested in a treatment more likely to yield improve-
ment; cf. Lilienfeld, Lynn, & Lohr, 2003). Given that relief
from anxiety is probably one of most widely promoted
benefits of mindfulness (see, e.g., Hofmann etal., 2010),
opportunity cost may be a widespread “side effect” of
MBI hype.
Consensus about harm, adverse effects, and con-
traindications. To date, “official” clinical guidelines
about the state of meditation-related risks are in their
infancy and only a handful of organizations and regula-
tory agencies have issued any statements. The American
Psychiatric Association (APA) first showed concern about
meditation-related AEs in 1977 and commissioned a
report on the topic with treatment guidelines (D. H.
Shapiro, 1982). The APA also included descriptions of
meditation-induced depersonalization and other clini-
cally relevant problems in both the 4th and 5th editions
of their Diagnostic and Statistical Manual of Mental Dis-
orders (APA, 1994, 2013). The NIH states that “meditation
could cause or worsen certain psychiatric problems” but
does not provide any practice guidelines beyond a boil-
erplate disclaimer to “check with your doctor” before try-
ing meditation (NCCIH, 2016b).
Since neither meditation writ large nor meditation-
based interventions are overseen by any regulatory
agencies, most of the clinical guidelines and recom-
mendations regarding risk and safety have been issued
by the “Centers for Mindfulness,” creators of interven-
tions, as well as various experts in the field. Many
meditation researchers and clinicians have offered
reviews of meditation-related risks, AEs, or contraindi-
cations with recommendations for clinical guidelines
(Dobkin et al., 2011; Fenwick, 1983; Greenberg &
Harris, 2012; Hanley, Abell, Osborn, Roehrig, & Canto,
2016; Lustyk etal., 2009; D. H. Shapiro, 1982; Shonin,
Van Gordon, & Griffiths, 2014a). The MBCT Implementa-
tion Resources (Kuyken, Crane, & Williams, 2012) is one
of the first documents to list potential “risks to partici-
pants,” including increased likelihood of suicidality,
14 Van Dam et al.
depression, negative emotions, and flashbacks during
meditation for individuals with trauma histories. At pres-
ent, management strategies for potential risks have been
largely limited to exclusion and informed consent. Both
the University of Massachusetts Center for Mindfulness
and the Oxford Mindfulness Centre have published rec-
ommended exclusion criteria for standard MBSR and
MBCT, both excluding current suicidality and/or any
current psychiatric disorder (Kuyken, Crane, & Williams,
2012; Santorelli, 2014). In addition, many centers attempt
to make clear that mindfulness is not intended to replace
standard psychiatric care.
Prescriptive research agenda: Transcending adverse
effects. The current guidelines, while preliminary, repre-
sent substantial progress in assessing and promoting
safety of meditation-based interventions. On the mea-
surement front, there have been signs of progress. A few
MBI researchers have started to actively monitor AEs
either through questionnaires or through clinician inter-
views (Kuyken etal., 2015; Kuyken et al., 2016; J. M.
Williams etal., 2014). While these are typically limited to
serious AEs (life-threatening or fatal events) or “deteriora-
tion” on preexisting clinical outcomes that require clinical
attention, such as increased depression or suicidality, this
is a considerable improvement from passive monitoring.
In addition, a recent qualitative study of 60 Buddhist
meditators and meditation teachers (cf. Lindahl etal.,
2017) also sought to improve knowledge of meditation-
related experiences that are underreported, unexpected,
“adverse,” or associated with significant levels of distress
and functional impairment. While qualitative and retro-
spective, this study applied 11 of the 13 causality criteria
(as outlined by the World Health Organization [WHO],
Federal Drug Administration, and NIH; Agbabiaka,
Savovic, & Ernst, 2008; NIH, 2016; WHO, 2016), includ-
ing interviews with meditation teachers (expert
judgment). The study produced 60 categories of medi-
tation-related experiences and 26 categories of “influ-
encing factors” that may impact the duration, associated
distress, and impairment of the experience. While the
first study of its kind, it sets a foundation for testable
hypotheses in future research. In addition, the 60 cat-
egories of meditation-related experiences are being
converted into a measurement tool that can be used for
systematic assessment across multiple studies and condi-
tions. The codebook was inserted as an interview-based
assessment into a recently completed clinical disman-
tling trial of MBCT (NCT no. 01831362) that can assess
whether similar experiences occur in MBIs, as well as
address the question of biological gradient (i.e., whether
more exposure results in greater effects; Hill, 1965).
The large and growing body of empirical data on the
psychological and neurobiological effects of meditation
and related practices also represent a step forward to
identifying potential mechanisms by which meditation-
related effects, as well as AEs might occur. Knowledge
of mechanism may help identify who is at risk. For
example, there is some evidence that hyperconnectivity
of the prefrontal cortex and limbic regions may result
in affective and autonomic blunting which is charac-
teristic of dissociation (Ketay, Hamilton, Haas, &
Simeon, 2014; Sierra etal., 2002). Similarly, increased
activity in the inferior parietal cortex, a common out-
come of mindfulness training (Brefczynski-Lewis, Lutz,
Schaefer, Levinson, & Davidson, 2007; Farb etal., 2007;
Goldin & Gross, 2010; Hasenkamp, Wilson-Mendenhall,
Duncan, & Barsalou, 2012), might relate to deperson-
alization (disembodiment, loss of agency and self-
other/self-world boundaries; Bunning & Blanke, 2005).
Others have created neurobiological models for specific
meditation-related experiences, such as visual halluci-
nations, (Lindahl, Kaplan, Winget, & Britton, 2014),
sleep-related changes (insomnia; Britton, Lindahl, etal.,
2014), changes in sense of self (Dor-Ziderman, Berkov-
ich-Ohana, Glicksohn, & Goldstein, 2013), and altered
perceptions of space and time (Berkovich-Ohana,
Dor-Ziderman, Glicksohn, & Goldstein, 2013).
Research on AEs of treatments that share mecha-
nisms with meditation should also be considered. For
example, treatments that restrict environmental stimula-
tion or narrative processing through internal sensory
focus, such as qigong (APA, 2000; Shan, 2000), auto-
genic training (W. Linden, 1990), and relaxation (Edinger
& Jacobsen, 1982), can precipitate similar AEs, such as
autonomic hyperarousal, perceptual disturbances
(Lindahl etal., 2014), traumatic memory reexperiencing
(Brewin, 2015; Brewin, Gregory, Lipton, & Burgess,
2010; Miller, 1993), and psychosis (APA, 2000; Shan,
2000). Relaxation-induced panic or anxiety is perhaps
one of the most well-documented phenomena with
clear relevance to meditation (Adler, Craske, & Barlow,
1987; Cohen, Barlow, & Blanchard, 1985; Heide &
Borkovec, 1983).
Challenges for investigating
mindfulness through contemplative
As part of the burgeoning trend in research on mindful-
ness and meditation more generally (Fig. 1), investiga-
tors have increasingly used methods from cognitive
neuroscience, especially functional magnetic resonance
imaging (fMRI). These methods yield visual depictions
of participants’ relative, regionally localized, brain acti-
vation during various types of cognitive task perfor-
mance as well as the integrated functional neural
networks of mental processing (including the default
mode network; cf. Power etal., 2011). The investigation
of mindfulness through such methods has also come
Critical Evaluation of Mindfulness Research 15
to be known as contemplative neuroscience (e.g.,
Davidson & Lutz, 2008).
Limitations in depictions of brain activity based
on neuroimaging. Representative pictures from fMRI
and other neuroimaging methods do not clearly convey
the complex—often fraught—chain of biological and
computational steps that lead to inferences about changes
in brain structure and function. They also neglect to high-
light the fact that such inferences are frequently derived
from averages obtained across groups of participants.
Thus, when also accompanied by numerous other diffi-
cult experimental, statistical, and inferential challenges
prevalent in psychological research, contemplative neu-
roscience has often led to overly simplistic interpretations
of nuanced neurocognitive and affective phenomena. For
example, psychologist Rick Hanson, in what is presum-
ably an effort to explain how meditation has been shown
to influence emotion regulation, correlated with altera-
tions in amygdala activity (e.g., Goldin & Gross, 2010),
has stated, “ In terms of amydgala activity, people seem
to belong to one of three groups . . . the ones with a joy-
ful amydgala—are more focused on promoting the good
than on preventing the bad” (Hanson, 2013, pp. 43–44).
As a result of such oversimplifications, meditative bene-
fits may be exaggerated and undue societal urgency to
undertake mindfulness practices may be encouraged
(e.g., Farias & Wikholm, 2015).
Problematic aspects of group-level neuroimaging
analyses. Furthermore, results from neuroimaging dur-
ing mindfulness practices and other types of meditation
may be subject to unique confounds. Despite variability
in different types of practice and meditative experiences,
it is not uncommon for neuroimaging data obtained from
diverse practitioners to be pooled in aggregated analyses
(e.g., Ferrarelli etal., 2013; Luders et al., 2012; Luders,
Kurth, Toga, Narr, & Gaser, 2013; Sperduti, Martinelli, &
Piolino, 2012). Also complicating theoretical interpreta-
tion of their results and further adding to confounds
associated with systematic individual differences, many
neuroimaging studies have used cross-sectional designs,
precluding possible inferences about underlying cause-
and-effect relationships (cf. Tang etal., 2015).
Ancillary physical artifacts in neuroimaging
data. Certain methodological confounds that plague
neuroimaging studies in general, are of particular con-
cern in studies of individuals who meditate. Physical arti-
facts involving head movements and cardiorespiratory
effects are especially notable (Holmes, Solomon, Cappo,
& Greenberg, 1983; Lutz etal., 2009; Reuter etal., 2015; Van
Dijk, Sabuncu, & Buckner, 2012; R. K. Wallace, 1970; R. K.
Wallace, Benson, & Wilson, 1971; cf. Lazar et al., 2000;
Zeidan etal., 2011). If nonmeditators are more restless or
breathe more rapidly than experienced meditators during
MRI sessions, there could be spurious group differences
in some neuroimaging measurements (e.g., with respect
to meditators, seemingly more brain gray matter and brain
activation in particular neuroanatomical regions; cf.
Greene, Black, & Schlaggar, 2016). Systematic individual
differences in cardiorespiratory activity between nonmed-
itators and meditators are especially worrisome because
of the so-called “vein-drain problem” (R. Turner, 2002). It
prevails especially in typical regions of differential brain
activation. Enlarged blood vessels may lead to measure-
ment artifacts (e.g., Boubela etal., 2015), which can be
particularly pronounced in brain regions commonly iden-
tified as important for cognition and emotion (e.g., insular
and anterior cingulate cortices).
Partially mitigating these concerns, meta-analyses of
both structural and functional neuroimaging data have
revealed differences in brain regions that tend to be
consistent with the specific meditation practices under
study (e.g., changes in brain regions associated with
bodily awareness of mindfulness practitioners—for
example, the insula and somatosensory cortices—and
widespread recruitment of brain regions associated
with vision during meditative visualization). Such find-
ings, when supported by results from meta-analyses of
multiple studies, are less likely to have stemmed merely
from artifacts (Fox etal., 2016; Fox etal., 2014).
Practical versus statistical significance of neuro-
imaging data. Statistical and theoretical approaches to
calculating and interpreting effect sizes and associated
confidence intervals have been well developed in behav-
ioral and psychological research (Cumming, 2014). Yet
calculating valid estimates of effect sizes in neuroimaging
data is extremely difficult (Fox et al., 2016; Fox et al.,
2014; Friston, 2012; Hupé, 2015). Consequently, the prac-
tical significance and clinical importance (e.g., diagnostic
and/or therapeutic utility) of observed changes in brain
structure and neural activity associated with practicing
mindfulness is still elusive (cf. Castellanos, Di Martino,
Craddock, Mehta, & Milham, 2013). Moreover, despite
some agreement among investigators that mindfulness
and other types of meditation affect the brain, we still do
not know how the effects compare to other cognitive
training methods regarding practical significance.
Consensus about findings from contemplative neu-
roscience. Despite the many serious limitations men-
tioned previously, studies in contemplative neuroscience
do allow some preliminary conclusions. Meta-analyses of
neuroimaging data suggest modest changes in brain
structure due to practicing mindfulness (Fox etal., 2014).
Some concomitant modest changes also have been
observed in neural function (e.g., Fox etal., 2016; Sperduti
etal., 2012; Tomasino, Fregona, Skrap, & Fabbro, 2013;
16 Van Dam et al.
for a broad review, see Tang etal., 2015). Caution must be
exerted in interpreting these findings; similar changes
have been observed following other forms of mental and
physical skill acquisition, such as learning to play musical
instruments and learning to reason, suggesting that they
may not be unique to mindfulness or other popular types
of meditation practice (cf. Draganski & May, 2008; Hyde
etal., 2009; Mackey, Miller Singley, & Bunge, 2013; Münte,
Altenmüller, & Jäncke, 2002).
Prescriptive research agenda: Truth in advertising
by contemplative neuroscience. Rather than contrib-
uting to further media hype, researchers in contemplative
neuroscience must endeavor to communicate more accu-
rately with other scientists, journalists, and the public not
only about the potential benefits of mindfulness practices
for mental processes and brain mechanisms, but also
about the limitations of neuroimaging methods and data
collected through them. We encourage contemplative
neuroscientists to follow best practices in neuroimaging
methods generally (cf. Nichols etal., 2017), but also to
consider and accommodate unique issues that may arise
while collecting brain data from meditating populations.
These unique issues (e.g., different respiration rates, dif-
ferent cardiac activity, dramatically different demographic
and life-style characteristics) may warrant unique data
collection methods (e.g., cardiac-gated image acquisi-
tion) and/or analytic methods (e.g., removal of activity
due to respiratory artifact), as well as very detailed demo-
graphic information. Particular attention should be paid
to methodologically and/or statistically controlling poten-
tial contributions from potentially confounding variables
(e.g., participant motivation, placebo effects, cardiorespi-
ratory factors, head motion, history of psychopathology)
that may underlie apparent group differences. This will
be especially necessary where mindfulness studies compare
results from long-term practitioners versus meditation-
naïve participants. In contexts of comparing meditation
experience, either between groups, or within, some com-
mon metric should be used (cf. Hasenkamp & Barsalou,
2012). Researchers should stress specifically that individ-
uals who already have meditated over many years, or
who—though not yet experts—are personally attracted
to meditation, may have characteristics that differentiate
them from the general population even before experi-
mentation (Mascaro, Rilling, Negi, & Raison, 2013). Prom-
inent mention about the limitations and fraught nuances
of statistical neuroimaging analyses should not be
neglected either. No amount of sophisticated statistical
prowess can correct results from faulty or confounded
methods, a fact of which researchers, scientists, and the
public should regularly be reminded.
And, ultimately, the popular news media—inspired
by honest, forthright, thorough cooperation with
contemplative neuroscientists—must persuade the gen-
eral public together with government funding agencies
that multiple large, longitudinal RCTs that consider
participant preferences concerning mindfulness prac-
tices are required and should be funded. We need such
trials to definitively determine the full benefits and
costs of practicing mindfulness. Without future RCTs,
prevalent widespread uncertainties surrounding past
results from haphazard studies of mindfulness involv-
ing relatively small sample sizes (e.g., Button etal.,
2013) and considerable variation in how neuroimaging
methodologies have been implemented (Simmons
etal., 2011) make it difficult to know the neural effects
of mindfulness.
Contemplative psychological scientists and neuroscien-
tists, along with other researchers who study mental
processes and brain mechanisms underlying the practice
of mindfulness and related types of meditation, have a
considerable amount of work to make meaningful prog-
ress. Much work should go toward improving the rigor
of methods used, along with the accuracy of news
media publicity and eliminating public misunderstand-
ings caused by past undue “mindfulness hype.” These
efforts have to take place on several related fronts.
First, as mentioned before, the various possible
meanings of “mindfulness” have to be clarified. To deal
with prevailing inherent semantic ambiguities, research-
ers should adopt more nuanced, precisely focused, ter-
minology for referring to the various distinct mental
and physical states as well as overt behaviors often
associated with mentions of “mindfulness” (see Table
2). Insofar as future research involves self-report ques-
tionnaires about mindfulness, new ones that incorpo-
rate specific terminology (see, e.g., Table 2) ought to
be developed. Theoretical models formulated to account
for data need also consider these new key terms.
Second, future studies of mindfulness should con-
form to lessons being learned from the ongoing “rep-
lication crisis” in psychological science and other
related scientific disciplines. For example, preregis-
tered experiments and open-science replications of
mindfulness are desirable. Additional discipline is
especially needed in light of recent growing trouble-
some meta-analytic evidence that—like some other
“glitzy” popular topics of psychological and neural
investigations—past mindfulness research has suc-
cumbed to these questionable practices (Coronado-
Montoya etal., 2016).
Third, future clinical applications involving MBIs
must seek to attain more uniformity and better control
(see Table 3), especially where definitive answers have
Critical Evaluation of Mindfulness Research 17
yet to be found. It is critical that those who conduct
clinical research provide warnings regarding the extent
to which their research findings generalize to clinical
practice. Also researchers and clinicians have to be put
on guard, educated about, and encouraged to address
the potential AEs stemming from mindfulness practices.
Research on the nature and scope of potential AEs
should receive considerable further attention and gov-
ernment funding, due to the public’s rapidly increasing
involvement in practicing mindfulness.
Fourth, as they continue to emerge through tech-
nological advances in neuroimaging methods, new
findings from contemplative neuroscience about the
mental processes and brain mechanisms of mindful-
ness practices must be reported with all due modesty.
Their importation into protocols for future clinical
practice must await proper vetting of the potential
practical significance that may accompany them. This
vetting process will have to deal diligently with the
many aforementioned challenges that still remain to
be surmounted by the contemplative neuroscience
Only with such diligent multipronged future endeav-
ors may we hope to surmount the prior misunderstand-
ings and past harms caused by pervasive mindfulness
hype that has accompanied the contemplative science
We dedicate this article to our dear friend and colleague,
Cathy Kerr, who passed away unexpectedly during revision
of this work. Cathy was among the key driving forces that
led to this particular group forming and to our formal meeting
in Amherst, Massachusetts, in July 2014. Cathy touched so
many lives and had a profound influence on the variety of
ways that many of us approach mindfulness and meditation
research. She will be profoundly missed.
This article grew out of a series of conferences and work-
shops generously funded by the Mind and Life Institute. How-
ever, the views expressed here are those of the authors alone,
collectively, and do not necessarily represent the views or
policies of the Mind and Life Institute nor any other organiza-
tions with which the authors are affiliated. We would further
like to add that while all authors contributed to the article, it
should be read as a majority consensus; not all authors strictly
ascribe to all statements contained herein.
Declaration of Conflicting Interests
The authors declared that they had no conflicts of interest with
respect to their authorship or the publication of this article.
Adler, C., Craske, M., & Barlow, D. (1987). Relaxation-induced
panic: When resting isn’t peaceful. Integrative Psychiatry,
9, 94–112.
Agbabiaka, T. B., Savovic, J., & Ernst, E. (2008). Methods for
causality assessment of adverse drug reactions: A system-
atic review. Drug Safety, 31, 21–37.
Agee, J. D., Danoff-Burg, S., & Grant, C. A. (2009).
Comparing brief stress management courses in a com-
munity sample: Mindfulness skills and progressive
muscle relaxation. Explore: The Journal of Science and
Healing, 5, 104–109.
American Psychiatric Association. (1994). Diagnostic and sta-
tistical manual of mental disorders (4th ed.). Washington,
DC: Author.
American Psychiatric Association. (2000). Diagnostic and sta-
tistical manual of mental disorders (4th ed., text rev.).
Washington, DC: Author.
American Psychiatric Association. (2013). Diagnostic and sta-
tistical manual of mental disorders (5th ed.). Washington,
DC: Author.
Analayo, B. (2003). Sattipatthana: The direct path to realiza-
tion. Birmingham, England: Windhorse.
Anderson, J. R., Bothell, D., Byrne, M. D., Douglas, S.,
Lebiere, C., & Qin, Y. (2004). An integrated theory of
mind. Psychological Review, 111, 1036–1060.
Annels, S., Kho, K., & Bridge, P. (2016). Meditate don’t medi-
cate: How medical imaging evidence supports the role of
meditation in the treatment of depression. Radiography,
22, e54–e58.
Arch, J. J., Ayers, C. R., Baker, A., Almklov, E., Dean, D. J.,
& Craske, M. G. (2013). Randomized clinical trial of
adapted mindfulness-based stress reduction versus group
cognitive behavioral therapy for heterogeneous anxiety
disorders. Behaviour Research and Therapy, 51, 185–196.
Baer, R. A. (2011). Measuring mindfulness. Contemporary
Buddhism, 12, 241–261. doi:10.1080/14639947.2011.564842
Baer, R. A., Samuel, D. B., & Lykins, E. L. (2011). Differential item
functioning on the Five Facet Mindfulness Questionnaire
is minimal in demographically matched meditators and
nonmeditators. Assessment, 18, 3–10.
Baer, R. A., Smith, G. T., Hopkins, J., Kritemeyer, J., & Toney,
L. (2006). Using self-report assessment methods to explore
facets of mindfulness. Assessment, 13, 27–45.
Baker, T. B., McFall, R. M., & Shoham, V. (2008). Current status
and future prospects of clinical psychology toward a sci-
entifically principled approach to mental and behavioral
health care. Psychological Science in the Public Interest,
9, 67–103. doi:10.1111/j.1539-6053.2009.01036.x
Baumeister, R. F., Vohs, K. D., & Funder, D. C. (2007).
Psychology as the science of self-reports and finger
movements: Whatever happened to actual behavior?
Perspectives on Psychological Science, 2, 396–403. doi:10
Bent, S., Padula, A., & Avins, A. (2006). Better ways to ques-
tion patients about adverse medical events. Annals of
Internal Medicine, 144, 257–261.
Bergomi, C., Tschacher, W., & Kupper, Z. (2013). The assess-
ment of mindfulness with self-report measures: Existing
scales and open issues. Mindfulness, 4, 191–202.
Berkovich-Ohana, A., Dor-Ziderman, Y., Glicksohn, J., &
Goldstein, A. (2013). Alterations in the sense of time,
space, and body in the mindfulness-trained brain: A
18 Van Dam et al.
neurophenomenologically-guided MEG study. Frontiers
in Psychology, 4, 912.
Birnie, K., Garland, S. N., & Carlson, L. E. (2010). Psychological
benefits for cancer patients and their partners partici-
pating in mindfulness-based stress reduction (MBSR).
Psycho-Oncology, 9, 1004–1009.
Bishop, S. R., Lau, M., Shapiro, S., Carlson, L., Anderson,
N. D., Carmody, J., . . . Devins, G. (2004). Mindfulness: A
proposed operational definition. Clinical Psychology: Science
and Practice, 11, 230–241. doi:10.1093/clipsy.bph077
Bodhi, B. (2011). What does mindfulness really mean? A canon-
ical perspective. Contemporary Buddhism, 12, 19–39.
Boorstein, S. (1996). Clinical aspects of meditation. In B.
Scotton, A. Chinen, & J. Battista (Eds.), Textbook of
transpersonal psychiatry and psychology (pp. 344–354).
New York, NY: Basic Books.
Boubela, R. N., Kalcher, K., Huf, W., Seidel, E.-M., Derntl, B.,
Pezawas, L., . . . Moser, E. (2015). fMRI measurements of
amygdala activation are confounded by stimulus corre-
lated signal fluctuation in nearby veins draining distance
brain regions. Scientific Reports, 5, 10499. doi:10.1038/
Braun, E. (2013). The birth of insight: Meditation, modern
Buddhism, and the Burmese Monk Ledi Sayadaw. Chicago,
IL: University of Chicago Press.
Brefczynski-Lewis, J. A., Lutz, A., Schaefer, H. S., Levinson,
D. B., & Davidson, R. J. (2007). Neural correlates of atten-
tional expertise in long-term meditation practitioners.
Proceedings of the National Academy of Sciences USA,
104, 11483–11488.
Brewer, J. A., Worhunsky, P. D., Gray, J. R., Tang, Y.-Y., Weber,
J., & Kober, H. (2011). Meditation experience is associated
with differences in default mode network activity and con-
nectivity. Proceedings of the National Academy of Sciences
USA, 108, 20254–20259. doi:10.1073/pnas.1112029108
Brewin, C. R. (2015). Re-experiencing traumatic events in
PTSD: New avenues in research on intrusive memories
and flashbacks. European Journal of Psychotraumatology,
6, 27180.
Brewin, C. R., Gregory, J. D., Lipton, M., & Burgess, N.
(2010). Intrusive images in psychological disorders:
Characteristics, neural mechanisms, and treatment impli-
cations. Psychological Review, 117, 210–232.
Briggs, J., & Killen, J. (2013). Perspectives on complemen-
tary and alternative medicine research. Journal of the
American Medical Association, 310, 691–692.
Britton, W. B. (2016). Scientific literacy as a foundational com-
petency for teachers of mindfulness-based interventions.
In D. McCown, D. K. Reibel, & M. S. Miccozzi (Eds.),
Resources for teaching mindfulness: A cross-cultural and
international handbook (pp. 93–119). New York, NY:
Britton, W. B., Lepp, N. E., Niles, H. F., Rocha, T., Fisher, N.,
& Gold, J. (2014). A randomized controlled pilot trial of
classroom-based mindfulness meditation compared to an
active control condition in 6th grade children. Journal of
School Psychology, 52, 263–278.
Britton, W. B., Lindahl, J. R., Cahn, B. R., Davis, J. H., &
Goldman, R. E. (2014). Awakening is not a metaphor: The
effects of Buddhist meditation practices on basic wakeful-
ness. Annals of the New York Academy of Sciences, 1307,
64–81. doi:10.1111/nyas.12279
Brown, K. W., & Ryan, R. M. (2003). The benefits of being
present: Mindfulness and its role in psychological well-
being. Journal of Personality and Social Psychology, 84,
822–848. doi:10.1037/0022-3514.84.4.822
Brown, K. W., Ryan, R. M., & Creswell, J. D. (2007). Addressing
fundamental questions about mindfulness. Psychological
Inquiry, 18, 211–237.
Buddhaghosa, B. (1991). The path of purification (B. Nanamoli,
Trans.). Onalaska, WA: Buddhist Publication Society.
Bunning, S., & Blanke, O. (2005). The out-of-body experi-
ence: Precipitating factors and neural correlates. Progress
in Brain Research, 150, 331–350.
Button, K. S., Ioannidis, J. P., Mokrysz, C., Nosek, B. A., Flint,
J., Robinson, E. S., & Munafò, M. R. (2013). Power fail-
ure: Why small sample size undermines the reliability of
neuroscience. Nature Reviews Neuroscience, 14, 365–376.
Carrington, P. (1977). The misuse of meditation: Problems
from overmeditation to freedom in meditation. Garden
City, NY: Anchor Books.
Castellanos, F. X., Di Martino, A., Craddock, R. C., Mehta,
A. D., & Milham, M. P. (2013). Clinical applications of
the functional connectome. NeuroImage, 80, 527–540.
Castillo, R. (1990). Depersonalization and meditation.
Psychiatry Research: Neuroimaging Section, 53, 158–168.
Cavanaugh, K., Strauss, C., Cicconi, F., Griffiths, N., Wyper,
A., & Jones, F. (2013). A randomised controlled trial of a
brief online mindfulness-based intervention. Behaviour
Research and Therapy, 51, 573–578. doi:10.1016/j
Chan, A. L. (2013, April 8). 20 reasons to love mindfulness
(according to science). Huffington Post. Retrieved from
Chan-Ob, T., & Boonyanaruthee, V. (1999). Meditation
in association with psychosis. Journal of the Medical
Association of Thailand, 82, 925–930.
Chiesa, A., Calati, R., & Serretti, A. (2011). Does mindfulness
training improve cognitive abilities? A systematic review
of neuropsychological findings. Clinical Psychology
Review, 31, 449–464. doi:10.1016/j.cpr.2010.11.003
Christopher, M. S., Charoensuk, S., Gilbert, B. D., Neary,
T. J., & Pearce, K. L. (2009). Mindfulness in Thailand
and the United States: A case of apples versus oranges?
Journal of Clinical Psychology, 65, 590–612. doi:10.1002/
Cohen, A. S., Barlow, D. H., & Blanchard, E. B. (1985).
Psychophysiology of relaxation-associated panic attacks.
Journal of Abnormal Psychology, 94, 96–101.
Coronado-Montoya, S., Levis, A. W., Kwakkenbos, L., Steele,
R. J., Turner, E. H., & Thombs, B. D. (2016). Reporting of
positive results in randomized controlled trials of mind-
fulness-based mental health interventions. PLOS ONE, 11,
e0153220. doi:10.1371/journal.pone.0153220
Cotman, C. W., Berchtold, N. C., & Christie, L.-A. (2007).
Exercise builds brain health: Key roles of growth factor
Critical Evaluation of Mindfulness Research 19
cascades and inflammation. Trends in Neurosciences, 30,
464–472. doi:10.1016/j.tins.2007.06.011
Coyne, J. (2015a, March 30). Amazingly spun mindfulness trial
in British Journal of Psychiatry: How to publish a null
trial. PLOS. Retrieved from
Coyne, J. (2015b, May 20). Is mindfulness-based therapy
ready for rollout to prevent relapse and recurrence in
depression? PLOS. Retrieved from
Coyne, J. (2016, November 16). Unintended consequences
of universal mindfulness training for schoolchildren?
PLOS. Retrieved from
Crane, R. S., & Kuyken, W. (2012). The implementation of
mindfulness-based cognitive therapy: Learning from the
UK health service experience. Mindfulness, 4, 246–254.
Crawford, M. J., Thana, L., Farquharson, L., Palmer, L.,
Hancock, E., Bassett, P., . . . Parry, G. D. (2016). Patient
experience of negative effects of psychological treat-
ment: Results of a national surveydagger. British Journal
of Psychiatry, 208, 260–265.
Cumming, G. (2014). The new statistics: Why and how.
Psychological Science, 25, 7–29.
Dane, E. (2011). Paying attention to mindfulness and its
effects on task performance in the workplace. Journal of
Management, 37, 997–1018.
Davidson, R. J. (2010). Empirical explorations of mindfulness:
Conceptual and methodological conundrums. Emotion,
10, 8–11. doi:10.1037/a0018480
Davidson, R. J., & Kaszniak, A. W. (2015). Conceptual
and methodological issues in research on mindfulness
and meditation. American Psychologist, 70, 581–592.
Davidson, R. J., & Lutz, A. (2008). Buddha’s brain:
Neuroplasticity and meditation. IEEE Signal Processing
Magazine, 25, 174–176.
Didonna, F., & Gonzalez, Y. R. (2009). Mindfulness and feel-
ings of emptiness. In F. Didonna (Ed.), Clinical hand-
book of mindfulness (pp. 125–151). New York, NY:
Sp ringer.
Dimidjian, S., Beck, A., Felder, J. N., Boggs, J. M., Gallop,
R., & Segal, Z. V. (2014). Web-based mindfulness-based
cognitive therapy for reducing residual depressive symp-
toms: An open trial and quasi-experimental compari-
son to propensity score matched controls. Behaviour
Research and Therapy, 63, 83–89. doi:10.1016/j.brat.2014
Dimidjian, S., & Hollon, S. D. (2010). How would we know
if psychotherapy were harmful? American Psychologist,
65, 21–33. doi:10.1037/a0017299
Dimidjian, S., & Segal, S. V. (2015). Prospects for a clini-
cal science of mindfulness-based intervention. American
Psychologist, 70, 593–620.
Disayavanish, C., & Disayavanish, P. (1984). Meditation-
induced psychosis (in Thai). Journal of the Psychiatric
Association of Thailand, 29, 1–12.
Dobkin, P. L., Irving, J. A., & Amar, S. (2011). For whom
may participation in a mindfulness-based stress reduc-
tion program be contraindicated? Mindfulness, 3, 44–50.
Dor-Ziderman, Y., Berkovich-Ohana, A., Glicksohn, J., &
Goldstein, A. (2013). Mindfulness-induced selflessness: A
MEG neurophenomenological study. Frontiers in Human
Neuroscience, 7, 582. doi:10.3389/fnhum.2013.00582
Draganski, B., & May, A. (2008). Training-induced structural
changes in the adult human brain. Behavioural Brain
Research, 192, 137–142.
Dreyfus, G. (2011). Is mindfulness present-centered and non-
judgmental? A discussion of the cognitive dimensions of
mindfulness. Contemporary Buddhism, 12, 41–54.
Dunne, J. (2011). Toward an understanding of non-dual mind-
fulness. Contemporary Buddhism, 12, 71–88.
Edinger, J., & Jacobsen, R. (1982). The incidence and sig-
nificance of relaxation treatment side effects. Behavior
Therapist, 5, 137–138.
Eisendrath, S. J., Delucchi, K., Bitner, R., Fenimore, P., Smit,
M., & McLane, M. (2008). Mindfulness-based cogni-
tive therapy for treatment-resistant depression: A pilot
study. Psychotherapy and Psychosomatics, 77, 319–320.
Embretson, S. (1983). Construct validity: Construct representa-
tion versus nomothetic span. Psychological Bulletin, 93,
Epstein, M., & Lieff, J. (1981). Psychiatric complications of
meditation practice. Journal of Transpersonal Psychology,
13, 137–147.
Fanelli, D. (2010). “Positive” results increase down the hierar-
chy of the sciences. PLOS ONE, 5(4), e10068. doi:10.1371/
Farb, N. (2014). From retreat center to clinic to boardroom?
Perils and promises of the modern mindfulness move-
ment. Religions, 5, 1062–1086.
Farb, N., Segal, Z. V., Mayberg, H., Bean, J., McKeon, D.,
Fatima, Z., & Anderson, A. (2007). Attending to the
present: Mindfulness meditation reveals distinct neural
modes of self-reference. Social Cognitive and Affective
Neuroscience, 2, 313–322.
Farias, M., & Wikholm, C. (2015). The Buddha Pill: Can medi-
tation change you? London, England: Watkins.
Fenwick, P. (1983). Can we still recommend meditation?
British Medical Journal, 287, 1401.
Ferrarelli, F., Smith, R., Dentico, D., Riedner, B. A., Zenning,
C., Benca, R., . . . Tononi, G. (2013). Experienced mind-
fulness meditators exhibit higher parietal-occipital EEG
gamma activity during NREM sleep. PLOS ONE, 8, e73417.
Firestone, L. (2013, March). Benefits of mindfulness.
Psychology Today. Retrieved from http://www.psycholo
Fox, K. C. R., Dixon, M. L., Nijeboer, S., Floman, J. L., Girn,
M., Lifshitz, M., . . . Christoff, K. (2016). Functional
20 Van Dam et al.
neuroanatomy of meditation: A systematic review and
meta-analysis of 78 functional neuroimaging investiga-
tions. Neuroscience & Biobehavioral Reviews, 65, 208–228.
Fox, K. C. R., Nijeboer, S., Dixon, M. L., Floman, J. L., Ellamil,
M., Rumak, S. P., . . . Christoff, K. (2014). Is medita-
tion associated with altered brain structure? A systematic
review and meta-analysis of morphometric neuroimaging
in meditation practitioners. Neuroscience & Biobehavioral
Reviews, 43, 48–73. doi:10.1016/j.neubiorev.2014.03.016
Fox, K. C. R., Zakarauskas, P., Dixon, M., Ellamil, M.,
Thompson, E., & Christoff, K. (2012). Meditation experi-
ence predicts introspective accuracy. PLOS ONE, 7(9),
e45370. doi:10.1371/journal.pone.0045370
Freedman, D. H. (2010, November). Lies, damned lies, and
medical science. Atlantic, 306, 76–84.
Freeman, D., & Freeman, J. (2015, April). New study shows
mindfulness therapy can be as effective as antidepressants.
Guardian. Retrieved from
Frewen, P. A., Evans, E. M., Maraj, N., Dozois, D. J. A., &
Partridge, K. (2007). Letting go: Mindfulness and negative
automatic thinking. Cognitive Therapy and Research, 32,
758–774. doi:10.1007/s10608-007-9142-1
Frewen, P. A., Lundberg, E., MacKinley, J., & Wrath, A. (2011).
Assessment of response to mindfulness meditation:
Meditation breath attention scores in association with
subjective measures of state and trait mindfulness and
difficulty letting go of depressive cognition. Mindfulness,
2, 254–269. doi:10.1007/s12671-011-0069-y
Friston, K. (2012). Ten ironic rules for non-statistical review-
ers. NeuroImage, 61, 1300–1310.
Garland, E. L., Farb, N. A., Goldin, P. R., & Fredrickson,
B. L. (2015). Mindfulness broadens awareness and builds
eudaimonic meaning: A process model of mindful positive
emotion regulation. Psychological Inquiry, 26, 293–314.
Germer, C. K. (2005). Mindfulness: What is it? What does
it matter? In C. K. Germer, R. D. Siegel, & P. R. Fulton
(Eds.), Mindfulness and psychotherapy (pp. 3–28).
London, England: Guilford.
Geschwind, N., Peeters, F., Huibers, M., van Os, J., & Wichers,
M. (2012). Efficacy of mindfulness-based cognitive ther-
apy in relation to prior history of depression: Randomised
controlled trial. British Journal of Psychiatry, 201, 320–
325. doi:10.1192/bjp.bp.111.104851
Gethin, R. (2011). On some definitions of mindfulness.
Contemporary Buddhism, 12, 263–279.
Gibbs, N. (Ed.). (2016, September). Mindfulness: The new
science of health and happiness. Time. Retrieved from
Giluk, T. L. (2009). Mindfulness, Big Five personality, and
affect: A meta-analysis. Personality and Individual
Differences, 47, 805–811.
Goldberg, S. B., Wielgosz, J., Dahl, C., Shuyler, B., MacCoon,
D. S., Rosenkranz, M., . . . Davidson, R. J. (2015). Does
the Five Facet Mindfulness Questionnaire measure what
we think it does? Construct validity evidence from an
active controlled randomized clinical trial. Psychological
Assessment, 28, 1009–1014.
Goldin, P. R., & Gross, J. J. (2010). Effects of mindfulness-
based stress reduction (MBSR) on emotion regulation in
social anxiety disorder. Emotion, 10, 83–91.
Goldin, P. R., Morrison, A., Jazaieri, H., Brozovich, F., Heimberg,
R., & Gross, J. J. (2016). Group CBT versus MBSR for social
anxiety disorder: A randomized controlled trial. Journal of
Consulting and Clinical Psychology, 84, 427–437.
Goleman, D. (1988). The meditative mind: The varieties of
meditative experience. New York, NY: Tarcher.
Goyal, M., Singh, S., Sibinga, E. M., Gould, N. F., Rowland-
Seymour, A., Sharma, R., . . . Shihab, H. M. (2014).
Meditation programs for psychological stress and well-
being: A systematic review and meta-analysis. JAMA
Internal Medicine, 174, 357–368.
Grabovac, A., Lau, M., & Willett, B. (2011). Mechanisms
of mindfulness: A Buddhist psychological model.
Mindfulness, 2, 154–166. doi:10.1007/s12671-011-0054-5
Green, C. D. (1992). Of immortal mythological beasts:
Operationsim in psychology. Theory & Psychology, 2,
Greenberg, M. T., & Harris, A. R. (2012). Nurturing mindful-
ness in children and youth: Current state of research.
Child Development Perspectives, 6, 161–166.
Greene, D. J., Black, K. J., & Schlaggar, B. L. (2016).
Considerations for MRI study design and implementa-
tion in pediatric and clinical populations. Developmental
Cognitive Neuroscience, 18, 101–112.
Grepmair, L., Mitterlehner, F., Loew, T., Bachler, E., Rother,
W., & Nickel, M. (2007). Promoting mindfulness in psy-
chotherapists in training influences the treatment results
of their patients: A randomized, double-blind, controlled
study. Psychotherapy and Psychosomatics, 76, 332–338.
Grossman, P. (2011). Defining mindfulness by how poorly I
think I pay attention during everyday awareness and other
intractable problems for psychology’s (re)invention of mind-
fulness: Comment on Brown etal. (2011). Psychological
Assessment, 23, 1034–1040. doi:10.1037/a0022713
Grossman, P., & Van Dam, N. T. (2011). Mindfulness, by any
other name . . . : Trials and tribulations of sati in Western
psychology and science. Contemporary Buddhism, 12,
219–239. doi:10.1080/14639947.2011.564841
Gu, J., Strauss, C., Crane, C., Barnhofer, T., Karl, A., Cavanaugh,
K., & Kuyken, W. (2016). Examining the factor structure
of the 39-item and 15-item versions of the Five Facet
Mindfulness Questionnaire before and after mindfulness-
based cognitive therapy for people with recurrent depres-
sion. Psychological Assessment, 28, 791–802.
Gunaratana, H. (2002). Mindfulness in plain English. Boston,
MA: Wisdom.
Gunderson, G. (2016, June 28). The science is in, and medi-
tation may be the next big business opportunity. Forbes.
Retrieved from
Critical Evaluation of Mindfulness Research 21
Hanley, A., Abell, N., Osborn, D., Roehrig, A., & Canto, A.
(2016). Mind the gaps: Are conclusions about mindfulness
entirely conclusive? Journal of Counseling & Development,
94, 103–113.
Hanson, R. (2013). Hardwiring happiness: The new brain sci-
ence of contentment, calm, and confidence. New York,
NY: Harmony Books.
Hasenkamp, W., & Barsalou, L. W. (2012). Effects of medita-
tion experience on functional connectivity of distributed
brain networks. Frontiers in Human Neuroscience, 6, 38.
Hasenkamp, W., Wilson-Mendenhall, C. D., Duncan, E.,
& Barsalou, L. W. (2012). Mind wandering and atten-
tion during focused meditation: A fine-grained temporal
analysis of fluctuating cognitive states. NeuroImage, 59,
750–760. doi:10.1016/j.neuroimage.2011.07.008
Hayes, S. C. (2002). Buddhism and acceptance and com-
mitment therapy. Cognitive and Behavioral Practice, 9,
Hayes, S. C., Strosahl, K. D., & Wilson, K. G. (1999).
Acceptance and commitment therapy: An experiential
approach to behavior change. New York, NY: Guilford.
Heide, F., & Borkovec, T. (1983). Relaxation-induced anxi-
ety: Paradoxical anxiety enhancement due to relaxation
treatment. Journal of Consulting and Clinical Psychology,
51, 171–182.
Hill, A. B. (1965). The environment and disease: Association
or causation? Proceedings of the Royal Society of Medicine,
58, 295–300.
Hofmann, S. G., & Asmundson, G. J. (2008). Acceptance and
mindfulness-based therapy: New wave or old hat? Clinical
Psychology Review, 28, 1–16.
Hofmann, S. G., Sawyer, A. T., Witt, A. A., & Oh, D. (2010).
The effect of mindfulness-based therapy on anxiety and
depression: A meta-analytic review. Journal of Consulting
and Clinical Psychology, 78, 169–183.
Holmes, D. S., Solomon, S., Cappo, B. M., & Greenberg, J. L.
(1983). Effects of transcendental meditation versus rest-
ing on physiological and subjective arousal. Journal of
Personality and Social Psychology, 44, 1245–1252.
Hölzel, B., Lazar, S., Gard, T., Schuman-Olivier, Z., Vago, D.,
& Ott, U. (2011). How does mindfulness meditation work?
Proposing mechanisms of action from a conceptual and
neural perspective. Perspectives on Psychological Science,
6, 537–559.
Huffington, A. (2013, March 16). Mindfulness, meditation,
wellness and their connection to corporate America’s
bottom line. Huffington Post. Retrieved from http://
Hupé, J. (2015). Statistical inferences under the Null hypoth-
esis: Common mistakes and pitfalls in neuroimaging stud-
ies. Frontiers in Neuroscience, 9, 18.
Hyde, K. L., Lerch, J., Norton, A., Forgeard, M., Winner, E.,
Evans, A. C., & Schlaug, G. (2009). Musical training shapes
structural brain development. Journal of Neuroscience, 29,
Ioannidis, J. P. (2005). Why most published research findings
are false. PLOS Medicine, 2(8), e124.
Ioannidis, J. P. (2012). Why science is not necessarily self-cor-
recting. Perspectives on Psychological Science, 7, 645–654.
Jain, S., Shapiro, S. L., Swanick, S., Roesch, S. C., Mills,
P. J., Bell, I., . . . Schwartz, G. E. R. (2007). A random-
ized controlled trial of mindfulness meditation versus
relaxation training: Effects on distress, positive states of
mind, rumination, and distraction. Annals of Behavioral
Medicine, 33, 11–21.
Jensen, C. G., Vangkilde, S., Frokjaer, V., & Hasselbalch,
S. G. (2012). Mindfulness training affects attention—Or is
it attentional effort? Journal of Experimental Psychology:
General, 141, 106–123. doi:10.1037/a0024931
Jha, A. P., Krompinger, J., & Baime, M. J. (2007). Mindfulness
training modifies subsystems of attention. Cognitive,
Affective, & Behavioral Neuroscience, 7, 109–119.
Johnson, G. (2014a, January 21). New truths that only one
can see. New York Times, p. D1.
Johnson, G. (2014b, March 7). When studies are wrong: A
coda. New York Times. Retrieved from http://www.nytimes
Jonsson, U., Alaie, I., Parling, T., & Arnberg, F. K. (2014).
Reporting of harms in randomized controlled trials of
psychological interventions for mental and behavioral
disorders: A review of current practice. Contemporary
Clinical Trials, 38, 1–8.
Kabat-Zinn, J. (1990). Full catastrophe living: The pro-
gram of the Stress Reduction Clinic at the University of
Massachusetts Medical Center. New York, NY: Dell.
Kabat-Zinn, J. (2011). Some reflections on the origins of MBSR,
skillful means, and the trouble with maps. Contemporary
Buddhism, 12, 281–306.
Kabat-Zinn, J., & Davidson, R. J. (2011). The mind’s own
physician: A scientific dialogue with the Dalai Lama
on the healing power of meditation. Oakland, CA: New
Kerr, C. E., Josyula, K., & Littenberg, R. (2011). Developing an
observing attitude: An analysis of meditation diaries in an
MBSR clinical trial. Clinical Psychology & Psychotherapy,
18, 80–93. doi:10.1002/cpp.700
Ketay, S., Hamilton, H. K., Haas, B. W., & Simeon, D. (2014).
Face processing in depersonalization: An fMRI study of
the unfamiliar self. Psychiatry Research, 222, 107–110.
Kornfield, J. (1979). Intensive insight meditation: A phenom-
enological study. Journal of Transpersonal Psychology,
11, 41–58.
Kozasa, E. H., Sato, J. R., Lacerda, S. S., Barreiros, M. A. M.,
Radvany, J., Russell, T. A., . . . Amaro, E., Jr. (2012).
Meditation training increases brain efficiency in an atten-
tion task. NeuroImage, 59, 745–749. doi:10.1016/j.neuro
Kragel, P. A., & LaBar, K. S. (2014). Advancing emotion theory
with multivariate pattern classification. Emotion Review,
6, 160–174.
Kuijpers, H. J., van der Heijden, F. M. M. A., Tuinier, S., &
Verhoeven, W. M. A. (2007). Meditation-induced psycho-
sis. Psychopathology, 40, 461–464. doi:10.1159/000108125
Kutz, I., Leserman, J., Dorrington, C., Morrison, C. H.,
Borysenko, J. Z., & Benson, H. (1985). Meditation
22 Van Dam et al.
as an adjunct to psychotherapy. An outcome study.
Psychotherapy and Psychosomatics, 43, 209–218.
Kuyken, W., Crane, R., & Dalgleish, T. (2012). Does mindful-
ness based cognitive therapy prevent relapse of depres-
sion? British Medical Journal, 345, e7194. doi:10.1136/
Kuyken, W., Crane, W., & Williams, J. M. (2012). Mindfulness-
based cognitive therapy (MBCT) implementation resources.
Oxford, England: Oxford University, University of Exeter,
Bangor University.
Kuyken, W., Hayes, R., Barrett, B., Byng, R., Dagleish, T.,
Kessler, D., . . . Byford, S. (2015). Effectiveness and cost-
effectiveness of mindfulness-based cognitive therapy com-
pared with maintenance antidepressant treatment in the
prevention of depressive relapse or recurrence (PREVENT):
A randomised controlled trial. Lancet, 386, 63–73.
Kuyken, W., Warren, F. C., Taylor, R. S., Whalley, B., Crane,
C., Bondolfi, G., . . . Dagleish, T. (2016). Efficacy of mind-
fulness-based cognitive therapy in prevention of depres-
sive relapse: An individual patient data meta-analysis from
randomized trials. JAMA Psychiatry, 73, 565–574.
Langer, E. J. (1989). Mindfulness. New York, NY: Perseus
Lao, S. A., Kissane, D., & Meadows, G. (2016). Cognitive
effects of MBSR/MBCT: A systematic review of neuro-
psychological outcomes. Consciousness and Cognition,
45, 109–123.
Lazar, S. W., Bush, G., Gollub, R. L., Fricchione, G. L., Khalsa,
G., & Benson, H. (2000). Functional brain mapping of the
relaxation response and meditation. NeuroReport, 11, 1581.
Lehrer, J. (2010, December 13). The truth wears off. New
Yorker, p. 52.
Leigh, J., Bowen, S., & Marlatt, G. A. (2005). Spirituality,
mindfulness, and substance abuse. Addictive Behaviors,
30, 1335–1341.
Levinson, D. B., Stoll, E. L., Kindy, S. D., Merry, H. L.,
& Davidson, R. J. (2014). A mind you can count on:
Validating breath counting as a behavioral measure of
mindfulness. Frontiers in Psychology, 5, 1202. doi:10.3389/
Lilienfeld, S. O., Lynn, S. J., & Lohr, J. M. (2003). Science
and pseudoscience in clinical psychology. New York, NY:
Lim, D., Condon, P., & DeSteno, D. (2015). Mindfulness and
compassion: An examination of mechanism and scalabil-
ity. PLOS ONE, 10(2), e0118221.
Lindahl, J. R., Fisher, N. E., Cooper, D. J., Rosen, R. K.,
& Britton, W. B. (2017). The varieties of contemplative
experience: A mixed-methods study of meditation-related
challenges in Western Buddhists. PLOS ONE, 12(5),
Lindahl, J. R., Kaplan, C., Winget, E., & Britton, W. B. (2014).
A phenomenology of meditation-induced light experi-
ences: Traditional Buddhist and neurobiological perspec-
tives. Frontiers in Psychology, 4, 973.
Linden, M. (2013). How to define, find and classify side effects
in psychotherapy: From unwanted events to adverse treat-
ment reactions. Clinical Psychology & Psychotherapy, 20,
286–296. doi:10.1002/cpp.1765
Linden, W. (1990). Autogenic training: A clinical guide. New
York, NY: Guilford.
Linehan, M. (1993). Cognitive behavioral treatment of border-
line personality disorder. New York, NY: Guilford.
Lomas, T., Cartwright, T., Edginton, T., & Ridge, D. (2015).
A qualitative analysis of experiential challenges associ-
ated with meditation practice. Mindfulness, 6, 848–860.
Luders, E., Kurth, F., Toga, A. W., Narr, K. L., & Gaser, C.
(2013). Meditation effects within the hippocampal com-
plex revealed by voxel-based morphometry and cytoar-
chitectonic probabilistic mapping. Frontiers in Psychology,
4, 398.
Luders, E., Thompson, P. M., Kurth, F., Hong, J., Phillips,
O. R., Wang, Y., . . . Toga, A. W. (2012). Global and regional
alterations of hippocampal anatomy in long-term medita-
tion practitioners. Human Brain Mapping, 34, 3369–3375.
Lustyk, M., Chawla, N., Nolan, R., & Marlatt, G. (2009).
Mindfulness meditation in research: A discussion of safety
issues and participant screening procedures. Advances in
Mind-Body Medicine, 24, 20–30.
Lutz, A., Dunne, J. D., & Davidson, R. J. (2007). Meditation
and the neuroscience of consciousness: An introduction.
In P. D. Zelazo, M. Moscovitch, & E. Thompson (Eds.),
The Cambridge handbook of consciousness (pp. 499–551).
New York, NY: Cambridge University Press.
Lutz, A., Greischar, L. L., Perlman, D. M., & Davidson, R. J.
(2009). BOLD signal in insula is differentially related to
cardiac function during compassion meditation in experts
vs. novices. NeuroImage, 47, 1038–1046.
Lutz, A., Jha, A. P., Dunne, J. D., & Saron, C. D. (2015).
Investigating the phenomenological matrix of mindful-
ness-related practices from a neurocognitive perspective.
American Psychologist, 70, 632–658.
Lutz, A., Lachaux, J. P., Martinerie, J., & Varela, F. J. (2002).
Guiding the study of brain dynamics by using first-person
data: Synchrony patterns correlate with ongoing con-
scious states during a simple visual task. Proceedings of
the National Academy of Sciences USA, 99, 1586–1591.
Lutz, A., Slagter, H. A., Dunne, J. D., & Davidson, R. J. (2008).
Attention regulation and monitoring in meditation. Trends
in Cognitive Sciences, 12, 163–169.
Lutz, A., & Thompson, E. (2003). Neurophenomenology inte-
grating subjective experience and brain dynamics in the
neuroscience of consciousness. Journal of Consciousness
Studies, 10, 31–52.
MacCoon, D. G., Imel, Z. E., Rosenkranz, M. A., Sheftel, J. G.,
Wang, H. Y., Sullivan, J. C., . . . Lutz, A. (2012). The vali-
dation of an active control intervention for Mindfulness
Based Stress Reduction (MBSR). Behaviour Research and
Therapy, 50, 3–12.
Mackey, A. P., Miller Singley, A. T., & Bunge, S. A. (2013).
Intensive reasoning training alters patterns of brain con-
nectivity at rest. Journal of Neuroscience, 33, 4796–4803.
Malinowski, P. (2013). Neural mechanisms of attentional
control in mindfulness meditation. Frontiers in Human
Neuroscience, 7, 8. doi:10.3389/fnins.2013.00008
Manicavasgar, V., Parker, G., & Perich, T. (2011). Mindfulness-
based cognitive therapy vs cognitive behaviour therapy
Critical Evaluation of Mindfulness Research 23
as a treatment for non-melancholic depression. Journal
of Affective Disorders, 130, 138–144.
Manocha, R. (2000). Why meditation? Australian Family
Physician, 29, 1135–1138.
Manuel, J. A., Somohano, V. C., & Bowen, S. (2017).
Mindfulness practice and its relationship to the Five-Facet
Mindfulness Questionnaire. Mindfulness, 8, 361–367.
Martin, D. J., Garske, J. P., & Davis, M. K. (2000). Relation
of the therapeutic alliance with outcome and other vari-
ables: A meta-analytic review. Journal of Consulting and
Clinical Psychology, 68, 438–450.
Mascaro, J. S., Rilling, J. K., Negi, L. T., & Raison, C. L. (2013).
Pre-existing brain function predicts subsequent practice
of mindfulness and compassion meditation. NeuroImage,
69, 35–42.
Matzke, D., Nieuwenhuis, S., van Rijn, H., Slagter, H. A., van
der Molen, M. W., & Wagenmakers, E.-J. (2015). The effect
of horizontal eye movements on free recall: A preregis-
tered adversarial collaboration. Journal of Experimental
Psychology. General, 144, e1–15. doi:10.1037/xge0000038
McMahan, D. L. (2008). The making of Buddhist modernism.
Oxford, England: Oxford University Press.
Meyer, D. E. (2009, April). Multi-tasking, meditation, and con-
templative practice. Presentation at Mind and Life XVIII:
Attention, Memory and the Mind, Dharamsala, India.
Meyer, D. E., & Kieras, D. E. (1999). Precis to a practical uni-
fied theory of cognition and action: Some lessons from
EPIC computational models of human multiple-task per-
formance. In D. Gopher & A. Koriat (Eds.), Attention
and Performance XVII. Cognitive regulation of perfor-
mance: Interaction of theory and application (pp. 17–88).
Cambridge, MA: MIT Press.
Miguel, E., Camerer, C., Casey, K., Cohen, J., Esterling, K. M.,
Gerber, A., . . . Van der Laan, M. (2014). Promoting trans-
parency in social science research. Science, 343, 30–31.
Miller, J. (1993). The unveiling of traumatic memories and
emotions through mindfulness and concentration medita-
tion: Clinical implications and three case reports. Journal
of Transpersonal Psychology, 25, 169–180.
Moher, D., Schulz, K. F., & Altman, D. G. (2001). The
CONSORT statement: Revised recommendations for
improving the quality of reports of parallel-group ran-
domized trials. Lancet, 357, 1191–1194.
Mohr, D. C. (1995). Negative outcome in psychotherapy: A
critical review. Clinical Psychology: Science and Practice,
2, 1–27.
Moos, R. H. (2005). Iatrogenic effects of psychosocial interven-
tions for substance use disorders: Prevalence, predictors,
prevention. Addiction, 100, 595–604. doi:10.1111/j.1360-
Moos, R. H. (2012). Iatrogenic effects of psychosocial inter-
ventions: Treatment, life context, and personal risk fac-
tors. Substance Use & Misuse, 47, 1592–1598. doi:10.3109/
Mrazek, M. D., Smallwood, J., & Schooler, J. W. (2012).
Mindfulness and mind-wandering: Finding convergence
through opposing constructs. Emotion, 12, 442–448.
Munafò, M. R., Stothart, G., & Flint, J. (2009). Bias in
genetic association studies and impact factor. Molecular
Psychiatry, 14, 119–120. doi:10.1038/mp.2008.77
Münte, T. F., Altenmüller, E., & Jäncke, L. (2002). The musi-
cian’s brain as a model of neuroplasticity. Nature Reviews
Neuroscience, 3, 473–478.
Nakaya, M., & Ohmori, K. (2010). Psychosis induced by spiri-
tual practice and resolution of pre-morbid inner conflicts.
German Journal of Psychiatry, 13, 161–163.
National Center for Complementary and Integrative Health.
(2016a). NCCIH Clinical Research Toolbox: Data safety
monitoring. National Center for Complementary and
Integrative Health, National Institutes of Health. Retrieved
National Center for Complementary and Integrative Health.
(2016b). What the science says about safety and side effects
of meditation. National Center for Complementary and
Integrative Health, National Institutes of Health. Retrieved
National Institutes of Health. (2016). Adverse event and seri-
ous adverse event guidelines OHRP guidance on reviewing
and reporting unanticipated problems involving risks to
subjects or others and adverse events, OHRP guidance.
Bethesda, MD: National Institutes of Health, Office for
Human Research Protections, U.S. Department of health
and Human Services.
National Institutes on Aging. (2011). NIA adverse event and
serious adverse event guidelines. Bethesda, MD: National
Institutes on Aging, National Institutes of Health.
Neisser, U., Boodoo, G., Bouchard, T. J., Boykin, A. W., Brody,
N., Ceci, S. J., . . . Urbina, S. (1996). Intelligence: Knowns
and unknowns. American Psychologist, 51, 77–101.
Nichols, T. E., Das, S., Eickhoff, S. B., Evans, A. C., Glatard,
T., Hanke, M., . . . Yeo, B. T. T. (2017). Best practices
in data analysis and sharing in neuroimaging using MRI.
Nature Neuroscience, 20, 299–303.
Nyham, B. (2014, September 18). To get more out of science,
show the rejected research. New York Times. Retrieved
Office for Human Research Protections. (2007). Guidance on
reviewing and reporting unanticipated problems involving
risks to subjects or others and adverse events. Washington,
DC: U.S. Department of Health and Human Services,
Office for Human Research Protections.
Onken, L. S., Carroll, K. M., Shoham, V., Cuthbert, B. N.,
& Riddle, M. (2014). Reenvisioning clinical science:
Unifying the discipline to improve public health. Clinical
Psychological Science, 2, 22–34.
Open Science Collaboration. (2012). An open, large-scale,
collaborative effort to estimate the reproducibility of psy-
chological science. Perspectives on Psychological Science,
7, 657–660.
Ospina, M. B., Bond, K., Karkhaneh, M., Tjosvold, L.,
Vandermeer, B., Liang, Y., . . . Lassen, T. P. (2007).
24 Van Dam et al.
Meditation practices for health: State of the research
(Evidence Report/Technology Assessment). Rockville,
MD: National Center for Complementary and Alternative
Medicine. Retrieved from
Papies, E. K., Barsalou, L. W., & Custers, R. (2012).
Mindful attention prevents mindless impulses. Social
Psychological & Personality Science, 3, 291–299.
Papies, E. K., Pronk, T. M., Keesman, M., & Barsalou, L. W.
(2015). The benefits of simply observing: Mindful atten-
tion modulates the link between motivation and behav-
ior. Journal of Personality and Social Psychology, 108,
148–170. doi:10.1037/a0038032
Pashler, H., & Wagenmakers, E. (2012). Editors’ introduction
to the special section on replicability in psychological sci-
ence: A crisis of confidence? Perspectives on Psychological
Science, 7, 528–530.
Penedo, F. J., & Dahn, J. R. (2005). Exercise and well-being:
A review of mental and physical health benefits associ-
ated with physical activity. Current Opinion in Psychiatry,
18, 189–193.
Plaud, J. J. (2001). Paradigms, promises, and the potential of
clinical psychology. Journal of Clinical Psychology, 57,
Power, J. D., Cohen, A. L., Nelson, S. M., Wig, G. S., Barnes,
K. A., Church, J. A., . . . Petersen, S. E. (2011). Functional
network organization of the human brain. Neuron, 72,
665–678. doi:10.1016/j.neuron.2011.09.006
Reuter, M., Tisdall, M. D., Qureshi, A., Buckner, R. L., van der
Kouwe, A. J., & Fischl, B. (2015). Head motion during
MRI acquisition reduces gray matter volume and thickness
estimates. NeuroImage, 107, 107–115.
Rhodes, E. (2015, September). Mindfulness on trial.
Psychologist, 28(9). Retrieved from https://thepsycholo
Ring, C., Brener, J., Knapp, K., & Mailloux, J. (2015). Effects
of heartbeat feedback on beliefs about heart rate and
heartbeat counting: A cautionary tale about interocep-
tive awareness. Biological Psychology, 104, 193–198.
Robins, C. J. (2002). Zen principles and mindfulness practice
in dialectical behavior therapy. Cognitive and Behavioral
Practice, 9, 50–57.
Rosnow, R. L. (2002). The nature and role of demand char-
acteristics in scientific inquiry. Prevention & Treatment,
5, 37. doi:10.1037/1522-3736.5.1.537c
Rosnow, R. L., & Rosenthal, R. (1989). Statistical procedures
and the justification of knowledge in psychological sci-
ence. American Psychologist, 44, 1276–1284.
Sahdra, B. K., MacLean, K. A., Ferrer, E., Shaver, P. R.,
Rosenberg, E. L., Jacobs, T. L., . . . Saron, C. D. (2011).
Enhanced response inhibition during intensive meditation
training predicts improvements in self-reported adaptive
socioemotional functioning. Emotion, 11, 299–312.
Santorelli, S. (2014). Mindfulness-based stress reduction
(MBSR): Standards of practice. Worcester, MA: Center
for Mindfulness in Medicine, Health Care, and Society,
University of Massachusetts Medical School.
Sauer, S., Walach, H., Schmidt, S., Hinterberger, T., Lynch, S.,
Bussing, A., & Kohls, N. (2013). Assessment of mindful-
ness: Review on state of the art. Mindfulness, 4, 3–17.
Sayadaw, M. (1965). The progress of insight: A modern
Pali Treatise on Buddhist Satipatthana meditation
(Nyanaponika Thera, Trans.). Kandy, Sri Lanka: Buddhist
Publication Society.
Schaufenbuel, K. (2015, December 28). Why Google, Target,
and General Mills are investing in mindfulness. Harvard
Business Review. Retrieved from
Sedlmeier, P., Eberth, J., Schwarz, M., Zimmermann, D.,
Haarig, F., Jaeger, S., & Kunze, S. (2012). The psychologi-
cal effects of meditation: A meta-analysis. Psychological
Bulletin, 138, 1139–1171. doi:10.1037/a0028168
Segal, Z. V., Bieling, P., Young, T., MacQueen, G., Cooke, R.,
. . . Levitan, R. D. (2010). Antidepressant monotherapy
vs sequential pharmacotherapy and mindfulness-based
cognitive therapy, or placebo, for relapse prophylaxis
in recurrent depression. Archives of General Psychiatry,
67, 1256–1264.
Segal, Z. V., Williams, J. M. G., & Teasdale, J. D. (2002).
Mindfulness-based cognitive therapy for depression: A new
approach to preventing relapse. New York, NY: Guilford.
Segal, Z. V., Williams, J. M. G., & Teasdale, J. D. (2012).
Mindfulness-based cognitive therapy for depression (2nd
ed.). New York, NY: Guilford.
Sethi, S. (2003). Relationship of meditation and psycho-
sis: Case studies. Australian & New Zealand Journal of
Psychiatry, 37, 382.
Shan, H. (2000). Culture-bound psychiatric disorders associ-
ated with qigong practice in China. Hong Kong Journal
of Psychiatry, 10, 12–14.
Shapiro, D. H., Jr. (1982). Overview: Clinical and physio-
logical comparison of meditation with other self-control
strategies. American Journal of Psychiatry, 139, 267–274.
Shapiro, D. H., Jr. (1992). Adverse effects of meditation:
A preliminary investigation of long-term meditators.
International Journal of Psychosomatics, 39, 62–67.
Shapiro, S. L., Carlson, L. E., Astin, J. A., & Freedman, B.
(2006). Mechanisms of mindfulness. Journal of Clinical
Psychology, 62, 373–386.
Shonin, E., Van Gordon, W., & Griffiths, M. D. (2013).
Mindfulness-based interventions: Towards mindful clini-
cal integration. Frontiers in Psychology, 4, 194.
Shonin, E., Van Gordon, W., & Griffiths, M. D. (2014a). Are
there risks associated with using mindfulness in the treat-
ment of psychopathology? Clinical Practice, 11, 389–392.
Shonin, E., Van Gordon, W., & Griffiths, M. D. (2014b).
Cognitive behavioral therapy (CBT) and meditation aware-
ness training (MAT) for the treatment of co-occurring
schizophrenia with pathological gambling: A case study.
International Journal of Mental Health and Addiction,
12, 181–196.
Shonin, E., Van Gordon, W., & Griffiths, M. D. (2014c). Do
mindfulness-based therapies have a role in the treat-
ment of psychosis? Australian & New Zealand Journal of
Psychiatry, 48, 124–127. doi:10.1177/0004867413512688
Critical Evaluation of Mindfulness Research 25
Shwed, U., & Bearman, P. S. (2010). The temporal structure
of scientific consensus formation. American Sociological
Review, 75, 817–840.
Sierra, M., Senior, C., Dalton, J., McDonough, M., Bond,
A., Phillips, M. L., . . . David, A. S. (2002). Autonomic
response in depersonalization disorder. Archives of
General Psychiatry, 59, 833–838.
Simmons, J. P., Nelson, L. D., & Simonsohn, U. (2011).
False-positive psychology undisclosed flexibility in
data collection and analysis allows presenting anything
as significant. Psychological Science, 22, 1359–1366.
Singh, N. N., Lancioni, G. E., Winton, A. S. W., Wahler, R. G.,
Singh, J., & Sage, M. (2004). Mindful caregiving increases
happiness among individuals with profound multiple
disabilities. Research in Developmental Disabilities, 25,
207–218. doi:10.1016/j.ridd.2003.05.001
Slagter, H. A., Lutz, A., Greischar, L. L., Francis, A. D.,
Nieuwenhuis, S., Davis, J. M., & Davidson, R. J. (2007).
Mental training affects distribution of limited brain
resources. PLOS Biology, 5(6), e138.
Sperduti, M., Martinelli, P., & Piolino, P. (2012). A neuro-
cognitive model of meditation based on activation likeli-
hood estimation (ALE) meta-analysis. Consciousness and
Cognition, 21, 269–276.
Strauss, C., Cavanagh, K., Oliver, A., & Pettman, D. (2014).
Mindfulness-based interventions for people diagnosed
with a current episode of an anxiety or depressive disor-
der. A meta-analysis of randomised controlled trials. PLOS
ONE, 9(4), e96110. doi:10.1371/journal.pone.0096110
Strauss, M. E., & Smith, G. T. (2009). Construct validity:
Advances in theory and methodology. Annual Review of
Clinical Psychology, 5, 1–25.
Strawn, J. R., Cotton, S., Luberto, C. M., Patino, L. R., Stahl,
L. A., Weber, W. A., . . . DelBello, M. P. (2016). Neural func-
tion before and after mindfulness-based cognitive therapy
in anxious adolescents at risk for developing bipolar disor-
der. Journal of Child and Adolescent Psychopharmacology,
26, 372–379. doi:10.1089/cap.2015.0054
Sze, J. A., Gyurak, A., Yuan, J. W., & Levenson, R. W. (2010).
Coherence between emotional experience and physi-
ology: Does body awareness training have an impact?
Emotion, 10, 803–814.
Tang, Y.-Y., Hölzel, B. K., & Posner, M. I. (2015). The neu-
roscience of mindfulness meditation. Nature Reviews
Neuroscience, 16, 213–225. doi:10.1038/nrn3916
Tang, Y.-Y., Ma, Y., Wang, J., Fan, Y., Feng, S., Lu, Q.,
. . . Posner, M. I. (2007). Short-term meditation training
improves attention and self-regulation. Proceedings of the
National Academy of Sciences USA, 104, 17152–17156.
Tolin, D. F. (2010). Is cognitive-behavioral therapy more
effective than other therapies? A meta-analytic review.
Clinical Psychology Review, 30, 710–720.
Tomasino, B., Fregona, S., Skrap, M., & Fabbro, F. (2013).
Meditation-related activations are modulated by the prac-
tice needed to obtain it and by the expertise: An ALE
meta-analysis study. Frontiers in Human Neuroscience,
6, 346. doi:10.3389/fnhum.2012.00346
Turner, L., Singh, K., Garrity, C., Tsertsvadze, A., Manheimer,
E., Wieland, L., . . . Moher, D. (2011). An evaluation
of the completeness of safety reporting in reports of
complementary and alternative medicine trials. BMC
Complementary and Alternative Medicine, 11, 67.
Turner, R. (2002). How much cortex can a vein drain?
Downstream dilution of activation-related cerebral blood
oxygenation changes. NeuroImage, 16, 1062–1067.
Vago, D. R., & Silbersweig, D. A. (2012). Self-awareness, self-
regulation, and Self-transcendence (S-ART): A framework
for understanding the neurobiological mechanisms of
mindfulness. Frontiers in Human Neuroscience, 6, 00296.
van Aalderen, J. R., Donders, A. R. T., Giommi, F., Spinhoven,
P., Barendregt, H. P., & Speckens, A. E. M. (2012). The
efficacy of mindfulness-based cognitive therapy in recur-
rent depressed patients with and without a current depres-
sive episode: A randomized controlled trial. Psychological
Medicine, 42, 989–1001. doi:10.1017/S0033291711002054
Van Dam, N. T., Earleywine, M., & Borders, A. (2010).
Measuring mindfulness? An item response theory analy-
sis of the Mindful Attention Awareness Scale. Personality
and Individual Differences, 49, 805–810. doi:10.1016/j
Van Dam, N. T., Earleywine, M., & Danoff-Burg, S. (2009).
Differential item function across meditators and non-
meditators on the Five Facet Mindfulness Questionnaire.
Personality and Individual Differences, 47, 516–521.
Van den Hurk, P. A. M., Giommi, F., Gielen, S. C., Speckens,
A. E. M., & Barendregt, H. P. (2010). Greater efficiency
in attentional processing related to mindfulness medita-
tion. Quarterly Journal of Experimental Psychology, 63,
VanderKooi, L. (1997). Buddhist teachers’ experience with
extreme mental states in Western meditators. Journal of
Transpersonal Psychology, 29, 31–46.
Van Dijk, K. R. A., Sabuncu, M. R., & Buckner, R. L. (2012).
The influence of head motion on intrinsic functional con-
nectivity MRI. NeuroImage, 59, 431–438. doi:10.1016/j
Van Nuys, D. (1973). Meditation, attention, and hypnotic
susceptibility: A correlation study. International Journal
of Clinical and Experimental Hypnosis, 21, 59–69.
van Vugt, M. K., & Slagter, H. A. (2014). Control over expe-
rience? Magnitude of the attentional blink depends on
meditative state. Consciousness and Cognition, 23, 32–39.
van Vugt, M. K., Taatgen, N. A., Bastian, M., & Sackur,
J. (2015, April). Modeling mind-wandering: A tool
to better understand distraction. Paper presented at
the International Conference in Cognitive Modeling,
Groningen, Netherlands.
Vaughan, B., Goldstein, M. H., Alikakos, M., Cohen, L. J., &
Serby, M. J. (2014). Frequency of reporting of adverse
events in randomized controlled trials of psychotherapy
vs. psychopharmacotherapy. Comprehensive Psychiatry,
55, 849–855. doi:10.1016/j.comppsych.2014.01.001
26 Van Dam et al.
Wallace, B. (2011). Stilling the mind: Shamatha teachings
from Dudjom Lingpa’s Vajra essence. Boston, MA: Wisdom
Wallace, R. K. (1970). Physiological effects of transcendental
meditation. Science, 167, 1751–1754.
Wallace, R. K., Benson, H., & Wilson, A. F. (1971). A wake-
ful hypometabolic physiologic state. American Journal of
Physiology, 221, 795–799.
Walsh, R. (2015). What is wisdom? Cross-cultural and cross-
disciplinary syntheses. Review of General Psychology, 19,
Walsh, R., & Roche, L. (1979). Precipitation of acute psychotic
episodes by intensive meditation in individuals with a
history of schizophrenia. American Journal of Psychiatry,
136, 1085–1086.
Walton, A. (2014, January 7). For depression treatment, medi-
tation might rival medication. Forbes, pp. 1–3.
Whitmarsh, S., Barendregt, H., Schoffelen, J.-M., & Jensen,
O. (2014). Metacognitive awareness of covert somato-
sensory attention corresponds to contralateral alpha
power. NeuroImage, 85, 803–809. doi:10.1016/j.neuro
Williams, J. M., Crane, C., Barnhofer, T., Brennan, K., Duggan,
D. S., Fennell, M. J., . . . Russell, I. T. (2014). Mindfulness-
based cognitive therapy for preventing relapse in recur-
rent depression: A randomized dismantling trial. Journal
of Consulting and Clinical Psychology, 82, 275–286.
World Health Organization. (2016). The use of the WHO-
UMC system for standardized case causality assessment.
World Health Organization, Uppsala Monitoring Centre.
Retrieved from
Yarkoni, T., Poldrack, R. A., Van Essen, D. C., & Wager,
T. D. (2010). Cognitive neuroscience 2.0: Building a
cumulative science of human brain function. Trends in
Cognitive Sciences, 14, 489–496. doi:10.1016/j.tics.2010
Yorston, G. (2001). Mania precipitated by meditation: A case
report and literature review. Mental Health, Religion &
Culture, 4, 209–214.
Zanesco, A. P., King, B. G., MacLean, K. A., & Saron,
C. D. (2013). Executive control and felt concentrative
engagement following intensive meditation training.
Frontiers in Human Neuroscience, 7, 00566. doi:10.3389/
Zeidan, F., Emerson, N. M., Farris, S. R., Ray, J. N., Jung, Y.,
McHaffie, J. G., & Coghill, R. C. (2015). Mindfulness
meditation-based pain relief employs different neural
mechanisms than placebo and sham mindfulness med-
itation-induced analgesia. Journal of Neuroscience,
35, 15307–15325. doi:10.1523/JNEUROSCI.2542-15
Zeidan, F., Martucci, K. T., Kraft, R. A., Gordon, N. S.,
Mchaffie, J. G., & Coghill, R. C. (2011). Brain mechanisms
supporting the modulation of pain by mindfulness medi-
tation. Journal of Neuroscience, 31, 5540–5548.
... In so doing, the study aims to help address increasing scientific criticism of both of these seminal studies. For example, meditation-focused MBSR scholars warn that MBSR and programs deriving from it are seen as a "one-size-fits-all" approach (Van Dam et al., 2017), "essentially replicating clinical mindfulness research in the workplace" (Reb et al., 2020; 3), while MO scientists lament that the antecedents of collective mindfulness are poorly understood (Argote, 2006). Frontiers in Psychology | ...
... Leading mindfulness meditation scholars argue that mindfulness is an umbrella term that describes a large number of processes and practices related to awareness, attention, and acceptance (Creswell, 2017;Van Dam et al., 2017). In addition, mindful organizing experts stress that non-meditative practices complement meditation in generating mindfulness in organizations (Sutcliffe et al., 2016;Reina and Kudesia, 2020). ...
... In addition, mindful organizing experts stress that non-meditative practices complement meditation in generating mindfulness in organizations (Sutcliffe et al., 2016;Reina and Kudesia, 2020). Nonetheless, the terms meditation and mindfulness are routinely used interchangeably in seminal mindfulness intervention publications (see Creswell, 2017;Van Dam et al., 2017). This indicates that the practice of meditation is conflated with mindfulness as an outcome of a possibly infinite number of "skillful means" (Kabat-Zinn, 2011, p. 3) to bring healing to individuals and society. ...
Full-text available
Mindfulness has come to be considered an important approach to help individuals cultivate transformative capacity to free themselves from stress and suffering. However, the transformative potential of mindfulness extends beyond individual stress management. This study contributes to a broadening of the scope of contemplative science by integrating the prominent, individually focused mindfulness meditation literature with collective mindfulness scholarship. In so doing, it aims to illuminate an important context in which mindfulness interventions are increasingly prevalent: workplaces. Typically, the intended effect of workplace mindfulness training is to help workers manage stress better. Since mindfulness in organizations impacts individual and collective processes, the study blends the above literatures to create a cross-level “next-generation” Team Mindfulness Training (TMT) pilot. Its potential in helping individuals and teams to manage work stress better is investigated via a two-phase mixed-methods research study in high-stress military work populations, and compared to a conventional (“first-generation”) 8-week mindfulness meditation program based on mindfulness-based stress reduction (MBSR). Results suggest that compared to the “first-generation” mindfulness program, TMT seems no less effective in raising individual stress management skills, and may hold more promise in generating collective capacity to manage stress and unexpected difficulty, linked to an apparent interdependence between collective and individual mindfulness capacity development. Based on these empirical results, the study contributes to theory in three important ways: first, it outlines how individual and collective mindfulness in workplaces may be interdependent. Second, it explains why “next-generation” workplace training interventions should apply a cross-level approach. And third, it illustrates how its transformative potential for people at work, individually as well as collectively, can be extended by moving beyond an inward-looking meditation focus in mindfulness training. The study contributes to practice by providing a detailed outline of the pilot TMT program, and offers a series of follow-up research opportunities to inspire further scientific innovation in workplace mindfulness training, especially for high-stress work populations. The study’s ultimate aim is to prompt a shift away from adapting clinically oriented, self-focused “first-generation” mindfulness training protocols, and towards mindfulness as team sport: a more prosocially oriented mindfulness science intent on generating wisdom and compassion, for one and all.
... As such, it is difficult to build a 'big picture', and despite informative critical commentaries on methodologies used in mindfulness research (e.g. Davidson & Kaszniak, 2015;Van Dam et al., 2018), the research field demonstrates no particular ideal template for future experimental research. ...
... Like many articles on the topic, the challenges in adapting mindfulness to an experimental setting begin with its definition (Davidson & Kaszniak, 2015;Van Dam et al., 2018). Though there is a variety of definitions available, key definitions based on traditional and theoretical understanding place a particular emphasis on two elements: attention to the present moment; and the curious, open and accepting (also termed 'non-judgemental') approach to one's experience in that moment (Bishop et al., 2004;Kabat-Zinn, 1994). ...
... This heterogeneity is a well-known characteristic of mindfulness (intervention) research (Van Dam et al., 2018), though it was surprising to discover the similar design flaws populating the majority of single-session studies reviewed, considering the potential to more greatly control conditions. Ambiguity of strategy description was another challenge of this review of the literature and related interpretations, such that different elements of mindfulness are likely to engender differential effects (Tang et al., 2015), thus makes direct comparisons difficult. ...
Background: Mindfulness protocols, though beneficial for a range of indications, often involve long-term commitment and may not be accessible for those naturally low in trait mindfulness (e.g. attention-/ anxiety-related disorders). It remains unclear which ‘dose’ of mindfulness is necessary to produce beneficial effects, and broadly, how drugs such as nootropics and psychedelics may interact with mindfulness meditation. / Aims: The aims of this thesis are (1) to explore what dose of mindfulness is necessary to enhance state mindfulness (among other outcomes) and whether a drug can modulate, or add to the effects of a mindfulness strategy, (2) to explore how psychedelics may affect a meditation experience, and (3) to examine what role changes in mindfulness play in regards to beneficial psychological health outcomes shown after ceremonial psychedelic use. / Methods: A mixture of methodologies were applied to answer the above questions. Specifically, single-session mindfulness literature was systematically reviewed, and a double-placebo controlled study was designed and conducted to explore the potential for pharmacological enhancement of a single mindfulness strategy. A thematic analysis was conducted to explore user accounts of combined psychedelic and meditation experiences. Finally, linear multilevel models and longitudinal mediation models were used to explore the associations between changes in mindfulness capacity and psychological health over the course of a naturalistic ayahuasca study. / Results: Single-session mindfulness studies are capable of producing a variety of beneficial effects, and adjunctive modafinil appears to enhance some effects of behavioural strategies as well as participant engagement in subsequent practice. Psychedelics may also prove to be useful counterparts to meditations, and conversely, while psychedelics appear to enhance mindfulness, meditation practice can assist also in the navigation of, and potentially enhance effects of the psychedelic process.
... There is a limited number of tools available for researchers to report AEs, and the ones currently in existence are often not implemented in various study designs, including RCTs (Baer et al., 2019;Farias et al., 2020;Wong et al., 2018). In addition to underreporting, other scholars have suggested that the therapeutic efficacy of MBIs and MBPs has focused on more positive results, despite studies showing a range of efficacy (i.e., low to moderate, moderate to none) (Van Dam et al., 2018). This has created misperceptions of mindfulness being devoid of potential AEs, which have been perpetuated by clinical studies on MBIs and MBPs published in high-profile journals and endorsed by trusted organizations (e.g., American Psychiatric Association, U.K. National Institute for Health and Clinical Excellence) (Van Dam et al., 2018). ...
... In addition to underreporting, other scholars have suggested that the therapeutic efficacy of MBIs and MBPs has focused on more positive results, despite studies showing a range of efficacy (i.e., low to moderate, moderate to none) (Van Dam et al., 2018). This has created misperceptions of mindfulness being devoid of potential AEs, which have been perpetuated by clinical studies on MBIs and MBPs published in high-profile journals and endorsed by trusted organizations (e.g., American Psychiatric Association, U.K. National Institute for Health and Clinical Excellence) (Van Dam et al., 2018). ...
... Although this review primarily included studies examining AE individuals experienced through face-to-face and selfguided delivery of MIs, it also identified two studies that reported individuals' experiences using mobile technology. The insights offered on the effects being underreported (Lutkajtis, 2018;Van Dam et al., 2018) or not monitored in clinical trials (Lindahl et al., 2014;Wong et al., 2018) are similar to the issues found in research examining the effects of mindfulness delivered through emerging technology. Most of the research on MIs focuses heavily on health-related benefits, and typically only mentions negative findings related to functionality and usability (Bakker et al., 2016;Bostock et al. 2019;Flett et al., 2019;Huberty et al., 2019a, b). ...
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Objectives Studies that use meditation-interventions (MIs) and mind–body practices (MBPs) typically highlight health-enhancing benefits whereas health-inhibiting adverse effects (AEs) have been largely underreported. The primary aim of this review was to identify articles outlining health-inhibiting AEs and synthesize the findings narratively. Randomized control trials were excluded because this design often underreports AEs or does not include measures for monitoring them. Methods We conducted our search using four different databases (PubMed, PsychInfo, Psychology and Behavioral Sciences Collection, and Web of Science) from inception to March 2021. We used cited reference searching and conducted a gray literature search. Results A total of 1,826 articles were identified through search strategies. Sixty-one studies met all inclusion criteria, and were separated by intervention/practice, with MIs being used most frequently (n = 41). The total sample size was 8,620. AEs were separated into two categories: somatic and mental distress. Nearly all studies (n = 57) mentioned some form of mental distress such as anxiety, while fewer studies (n = 21) reported somatic distress such as sleep disturbance. Individuals primarily engaged with MIs and MBPs face-to-face (n = 59). Conclusions This review suggests that AEs appear more frequently in research using MIs, and that mental distress is more common than somatic. These effects were primarily identified in studies delivering MIs and MBPs face-to-face, suggesting that future studies should aim to evaluate emerging technologies (i.e., apps). Easy access to apps disseminating MIs and/or MBPs could be problematic for users, considering the lack of supervision associated with technology. Systematic review registration: PROSPERO ID#CRD42020167263
... However, researchers and practitioners could benefit from integrating both Buddhist and Western approaches to the study of mindfulness, especially in relation to human suffering (Briere, 2015;Gethin, 2015). Furthermore, many Western studies on mindfulness present limitations (Van Dam et al., 2018). For instance, in contrast to Buddhist approaches, many Western approaches to mental health discuss mindfulness in terms of its protective influence on brain function, which neglects its social, contextual, and value-based aspects that are found in Buddhist approaches (Chen & Jordan, 2020;Monteiro et al., 2019). ...
... They posit that avoidance of distress may prolong and intensify psychological suffering, whereas awareness promotes trauma processing or integration (Briere, 2015;Rauch & Foa, 2006). Finally, authors have stressed that mindfulness is complex and multifaceted, and therefore, difficult to define, that selfreport questionnaires are problematic in some respects, and that no current theoretical model can comprehensively describe all mindfulness-related phenomena (Van Dam et al., 2018). Studying mindfulness dispositions through narrative data (i.e., from participants' points of view) could mitigate such limitations. ...
... We use Buddha's Four Noble Truths to conceptualize CCIT survivors' mindfulness experiences to better inform our comprehension of their suffering and healing trajectories. Furthermore, survivors' points of view should be included and evaluated within current mindfulness research in order to provide new information beyond what is ascertained through the use of standardized questionnaires and researcher-generated questions and response options, and to better capture various mindfulness-related phenomena (Lundh, 2020;Van Dam et al., 2018). As such, research that is individual-oriented and grounded in lived experiences could document previously neglected elements of subjective experiences (Lundh, 2020). ...
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Objectives Buddha’s Four Noble Truths state that (1) life is full of suffering, (2) there is a cause of suffering, (3) it is possible to stop suffering, and (4) there is a path leading to the cessation of suffering. The current study aimed to explore how trauma-related suffering and mindfulness dispositions are experienced among survivors of childhood cumulative interpersonal trauma (i.e., CCIT, an accumulation of physical, psychological, and sexual trauma before the age of 18) through the lens of Buddha’s Four Noble Truths. Methods Semi-structured in-depth interviews were conducted with 23 adult survivors of CCIT (12 men, 11 women). A directed content analysis was performed. Results Findings revealed that survivors of CCT experience paths of suffering and healing echoing the Four Noble Truths. First, being a survivor of CCIT is a major source of suffering. Second, most participants engage in experiential avoidance (aversion, cravings, illusion, and amnesia) as adaptive strategies to pain and suffering. Third, some participants search for inner and outer resources to reduce the suffering caused by experiential avoidance. Fourth, a few participants engage in a path of liberation characterized by a new approach to trauma and to life. Conclusions Findings suggest that the integration of Western and Buddhist frameworks might foster a better understanding of mindfulness dispositions and suffering in survivors of CCT.
... Interdisciplinary critiques of mindfulness research and mindfulness-integrated interventions have dubbed these approaches "overhyped" or a fad (e.g., Van Dam et al., 2018). As such, one potential danger is that mindfulness might be applied to situations in which it is ineffective, inappropriate, or potentially harmful (e.g., Bodhi, 2011). ...
... Over the past two decades, research on mindfulness and its positive outgrowths has exponentiated . Mindfulness is a multibillion-dollar industry (Poulin et al., 2021), with growing public, corporate, and political interest in its practice (Ryan, 2012;Van Dam et al., 2018). Scientists have begun testing the efficacy of affordable mindfulnessbased smartphone applications for interpersonal well-being (e.g., DeSteno et al., 2018;Lim et al., 2015). ...
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Objectives Mindful attention deployment has been found to have practical benefits for a range of interpersonal outcomes including prosocial action and emotion. Recently, theory has posited that contemplative training that incorporates mindful attention may enhance intergroup compassion. Methods Here, we conduct a selective narrative review, drawing on the Buddhist concept skillful means to ask if mindful attention deployment presents an optimal starting point for intergroup compassion and action. Results An interdisciplinary theoretical framework is presented, which suggests that mindful attention dismantles common intrapsychic challenges to intergroup prosociality. Empirical research is described concerning cause and effect relationships between mindfulness and several outgrowths of intergroup prosociality. Specifically, mindfulness promotes basic social cognitive processes that allow intergroup prosociality to flourish. Conclusions While this research is promising, to date, the science on this topic has been limited to individual-level outgrowths of mindfulness practice. Discussion focuses on the future of mindfulness research in intergroup prosociality and calls for an integrative approach situating mindful attention deployment within social (and other) psychological interventions to enhance intergroup compassion.
... An experiential strategy that has been suggested as a means to reduce meat consumption is mindfulness practice (Hunecke and Richter, 2019;Stanszus et al., 2019;. Although current mindfulness research is characterized by conceptual ambiguity (Van Dam et al., 2018), in Western practice and science, mindfulness is most commonly defined as intentional, non-judgmental attentiveness to the present moment (Kabat-Zinn, 1990). Such practices have been increasingly discussed throughout the last decade both to promote conscious, healthy eating behaviors (Beshara et al., 2013;Kristeller and Epel, 2014) and to foster sustainable consumer choices (Ericson et al., 2014;Fischer et al., 2017;Sermboonsang et al., 2020). ...
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The need for reducing meat consumption in affluent countries is increasingly recognized as crucial to minimizing carbon footprint. However, confronting individuals with rational arguments can prompt emotional discomfort, which is often relieved by engaging in rationalization processes stabilizing current consumption patterns. Mindfulness research suggests that making people aware of their emotional reactions through introspection can reduce these rationalization processes. In this mixed-method pilot experimental study, we inquired whether a single guided introspection, inspired by the micro-phenomenological interview technique, can alter individuals' experience of and abilities to deal with cognitive dissonance. Furthermore, we asked if such an intervention can stimulate attitude or intention changes concerning meat consumption. After inducing cognitive dissonance by exposing participants to pictures of the slaughter of a cow, the intervention group (n = 36) participated in the guided introspection, while the control group (n = 39) played solitaire. Self-report questionnaire measures of emotional discomfort, rationalization strategies, and attitudes towards meat consumption were administered before and after the intervention. Also, open-ended responses to participants’ experience of the study were analyzed. Quantitative results show significantly lower negative attitudes toward reducing meat consumption in the intervention group compared to the control group (partial η² = 0.107). Qualitative results indicate that these participants are more aware of negative emotions while engaging less in rationalization strategies. We conclude that our study indicates some potential for guided introspection to affect dissonance resolution and provide suggestions for future research.
... Over the last three decades, research on the benefits of mindfulness meditation has emerged as a prominent field of focus across a number of disciplines including, but not limited to, education, psychology, and neuroscience (Van Dam et al., 2018). Grounded in Buddhist philosophy, mindfulness may be defined as purposely paying attention to thoughts, emotions, and sensations as they arise moment-to-moment, with an open and accepting attitude (Kabat-Zinn, 2003). ...
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Objectives: The objective of the current study was to investigate the effect of a brief mindfulness practice on perceived stress and sustained attention, and to determine whether priming the benefits of mindfulness meditation enhances this effect. Methods: Two hundred and twenty undergraduate students were randomly assigned to a control condition (CC), a meditation condition (MC), or a priming + meditation condition (PMC). Baseline and post-treatment measures included subjective stress ratings on a visual analog scale (VAS) and performance on a Sustained Attention to Response Task (SART), determined by reaction time coefficient of variability (RTCV) and three measures of accuracy: correct responses, errors of commission, and errors of omission. Results: Repeated measures analyses revealed that both the MC and the PMC displayed a decline in perceived stress relative to the CC. Analyses further revelated that the MC and PMC displayed fewer errors of omission relative to the CC. However, only the PMC displayed better performance relative to the CC with respect to total correct response and errors of commission. There were no significant between-group differences for RTCV. Conclusions: These findings are novel and provide a foundation to further investigate the effect of priming on mindfulness engagement and its potential benefits. Supplementary information: The online version contains supplementary material available at 10.1007/s12671-022-01913-8.
Interventions incorporating mindfulness for youth identified to be at risk for psychosis show promise for symptom management yet to be addressed by other approaches. Important questions remain as to how to safely and effectively implement these interventions with this cohort. The aim of this research was to collaboratively identify with stakeholders of such interventions, namely youth at risk for psychosis, and practitioners with experience working with youth at risk for psychosis – attitudes towards mindfulness and potential intervention adaptations to ensure the safety, uptake, and effectiveness of mindfulness interventions used with youth at risk for psychosis. Consolidated criteria for reporting qualitative studies were adopted. Eight practitioners and six at risk for psychosis individuals were interviewed. Both groups identified significant potential benefits of mindfulness, for stress and relaxation, managing difficult thoughts and emotions, increasing positive emotions, improving functioning, and patient empowerment within treatment participation. Stakeholders identified the helpfulness of including compassion‐based practices, emphasizing experiential and concrete material, shorter and guided exercises, the targeting of anxiety and attenuated psychotic symptomology, and making the goals or intent of practice youth relevant. Significant barriers were identified – poor functioning and low motivation, high self‐criticism, concurrent medication and substance use, and perceptions of mindfulness that may impact uptake (e.g. it requires relaxation to work). Formulation of and research into comprehensive clinical guidelines will help ensure the safe and effective use of future mindfulness and compassion‐based practices with at risk for psychosis individuals.
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This qualitative multiple-case study aims to explore the perceptions of subject matter experts (SME) about the use of artificial intelligence in international decision-making processes. This research study looks at the effect of artificial intelligence (AI) on project managerial decision-making. The article looks at the value, consistency, and capacity of data composed by Artificial Intelligence technologies, then provided to the project administrator to help them make project results. After reviewing previous studies, including reading multiple scholarly journals and collecting data from various regions, and a pilot study, which included interviews with 15 Subject Matter Experts, four themes emerged namely; Preparation and teamwork/collaboration across the board increase data quality, Artificial Intelligence in PM is straightforward to deploy in service-related firms, particularly in the financial enterprise, including insurance and banking, and Organizations that use AI to collect data increase authenticity and decision-making quality by uncovering patterns. The ability to identify risks with the help of AI aids in developing sound judgments. The research concluded that Artificial Intelligence applications improve data authenticity and consistency, leading to faster and more effective decision-making in solitary and various project situations. Artificial Intelligence will not be an option; it will be a necessary component of companies survival approach.
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Buddhist-derived meditation practices are currently being employed as a popular form of health promotion. While meditation programs draw inspiration from Buddhist textual sources for the benefits of meditation, these sources also acknowledge a wide range of other effects beyond health-related outcomes. The Varieties of Contemplative Experience study investigates meditation-related experiences that are typically underreported, particularly experiences that are described as challenging, difficult, distressing, functionally impairing, and/or requiring additional support. A mixed-methods approach featured qualitative interviews with Western Buddhist meditation practitioners and experts in Theravāda, Zen, and Tibetan traditions. Interview questions probed meditation experiences and influencing factors, including interpretations and management strategies. A follow-up survey provided quantitative assessments of causality, impairment and other demographic and practice-related variables. The content-driven thematic analysis of interviews yielded a taxonomy of 59 meditation-related experiences across 7 domains: cognitive, perceptual, affective, somatic, conative, sense of self, and social. Even in cases where the phenomenology was similar across participants, interpretations of and responses to the experiences differed considerably. The associated valence ranged from very positive to very negative, and the associated level of distress and functional impairment ranged from minimal and transient to severe and enduring. In order to determine what factors may influence the valence, impact, and response to any given experience, the study also identified 26 categories of influencing factors across 4 domains: practitioner-level factors, practice-level factors, relationships, and health behaviors. By identifying a broader range of experiences associated with meditation, along with the factors that contribute to the presence and management of experiences reported as challenging, difficult, distressing or functionally impairing, this study aims to increase our understanding of the effects of contemplative practices and to provide resources for mediators, clinicians, meditation researchers, and meditation teachers.
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Central to Mindfulness-Based Intervention (MBI) protocols are formal and informal mindfulness practice, both within and between weekly sessions. It is presumed that mindfulness practices foster increases in mindfulness, which in turn affect treatment outcomes. The current study assessed whether frequency and duration of between-session mindfulness practice predicted mindfulness as measured by the Five Facet Mindfulness Questionnaire (FFMQ) in a clinical sample of adults following Mindfulness-Based Relapse Prevention (N = 103). In the original trial, significantly greater changes in primary substance abuse outcomes were observed in the MBRP group. In the current study, it was hypothesized that type (formal versus informal), frequency (days/week), and duration (minutes) of practice would predict post-course FFMQ scores. However, no significant relationships were found between practice and either the total or subscale FFMQ scores. Results from the current study suggest that either mindfulness is not affected by mindfulness practices or that the FFMQ may need adaptation for specific clinical samples. Results suggest more objective indices of meditation practice, such as frequency and duration of practice, may be indicated in assessing how mindfulness practice relates to changes in mindfulness and to clinical outcomes, particularly in samples in which mindfulness measures have not been validated. Further investigation is needed to determine best methods of assessment to identify mechanisms of MBIs in different clinical populations.
Given concerns about the reproducibility of scientific findings, neuroimaging must define best practices for data analysis, results reporting, and algorithm and data sharing to promote transparency, reliability and collaboration. We describe insights from developing a set of recommendations on behalf of the Organization for Human Brain Mapping and identify barriers that impede these practices, including how the discipline must change to fully exploit the potential of the world's neuroimaging data.
Scientific literacy is a foundational competency for MBI teachers that empowers them to draw from the existing scientific research to enhance their pedagogy and serves as a foundation for all aspects of evidence-based practice. Most importantly, scientific literacy of MBI teachers maintains the credibility and public trust in MBIs. This chapter includes a description of the interdependence of MBIs and scientific research, a basic knowledge of the science of meditation, and practical methods to integrate science-based didactic material into the MBI curriculum. Skills for evaluating the ever-changing evidence-base of scientific research are provided in order to empower teachers to develop their own model. In evidenced-based practice beyond the classroom, scientific literacy informs ethical and clinical decision making, including inclusion and exclusion criteria and the ongoing process of informed consent in order to maximize benefits and minimize harm.
Mindfulness is theorised to improve attention regulation and other cognitive processes. This systematic review examines whether 8-week standardised and manualised mindfulness training programs such as Mindfulness Based Cognitive Therapy (MBCT) and Mindfulness Based Stress Reduction (MBSR) enhances attention, memory and executive function abilities measured by objective neuropsychological tests. Seven databases were searched resulting in 18 studies meeting inclusion criteria for review. Overall studies did not support attention or executive function improvements. We found preliminary evidence for improvements in working memory and autobiographical memory as well as cognitive flexibility and meta-awareness. Short-term mindfulness meditation training did not enhance theorised attentional pathways. Results call into question the theoretical underpinnings of mindfulness, further highlighting the need for a comprehensive theoretical framework.