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Cancer and Clinical Oncology; Vol. 2, No. 1; 2013
ISSN 1927-4858 E-ISSN 1927-4866
Published by Canadian Center of Science and Education
62
Relationship between Mindfulness-Based Stress Reduction and
Immune Function in Cancer and HIV/AIDS
Rachel Lerner1, Jeffrey L. Kibler1 & Simon B. Zeichner1
1 Nova Southeastern University, Fort Lauderdale, USA
Correspondence: Rachel Lerner, M.S., Nova Southeastern University, 671 NW 100th Terrace, Plantation, FL
33324, USA. Tel: 954-562-2109. E-mail: rlerner@nova.edu
Received: December 7, 2012 Accepted: December 22, 2012 Online Published: January 5, 2013
doi:10.5539/cco.v2n1p62 URL: http://dx.doi.org/10.5539/cco.v2n1p62
Abstract
Objective: Chronic stress is widespread, and is detrimental to immune functioning and to overall physical and
emotional health. These effects may be potentiated in patients with chronic illness, as high levels of chronic
stress are common in this population. Numerous studies support the efficacy of mindfulness-based stress
reduction (MBSR) in improving psychological functioning. If a strong relationship is found between MBSR and
immune function, then MBSR may be implemented as a strategy to improve immune functioning and overall
well-being. Methods: In the present review paper, the relationship between MBSR and immune function is
evaluated. Empirical studies measuring immune markers as they relate to a standard MBSR intervention were
reviewed. Relevant articles primarily involved patients with cancer or HIV. Therefore, the associations of
immune measures with psychological distress are discussed, with an emphasis on patients with these conditions.
A psychoneuroimmunological (PNI) framework was utilized to propose a mechanism for the relationship
between MBSR and immune function. Results: Overall, the findings support a positive relationship between
MBSR intervention and beneficial immunological outcomes. Variability in immune measures assessed across
studies precludes pooling data to develop more conclusive results. Conclusions: MBSR has been shown to
consistently improve emotional functioning and quality of life, and these effects appear to facilitate immune
function.
Keywords: mindfulness, mindfulness-based stress reduction (MBSR), immune function, natural killer cells,
mindfulness and cancer, mindfulness and HIV
1. Introduction
This literature review presents an investigation of the relationship between MBSR and immune function. This is
the first literature review devoted to this important relationship. This is a salient area for study as it appears that
MBSR affects psychosocial variables that correlate with immune functioning, and these relationships may
represent critical aspects of fighting disease (Shannon, 2005; Sompayrac, 2003). Prior studies have established a
strong link between psychological distress and reduced immune functioning (Gouin & Kiecolt-Glaser, 2011;
Kiecolt-Glaser, Dura, Speicher, & Trask, 1991). This is particularly relevant in the case of chronic illness, such
as HIV and cancer. These conditions are associated with immune supression (Robinson, Mathews, &
Witek-Janusek, 2003; Sibinga et al., 2008; Witek-Janusek et al., 2008), and this may be compounded by
emotional distress, which often accompanies these chronic illnesses (Boyer & Paharia, 2008). MBSR has no
known risks (Praissman, 2008), and it has been shown to improve mood, stress levels, and quality of life
(Carlson, Speca, Faris, & Patel, 2007; Reibel, Greeson, Brainard, & Rosenzweig, 2001). If evidence further
supports a strong connection between MBSR and improved immune functioning, this may increase incentives
for implementing MBSR programs in healthcare settings. The present paper is an evaluation of the existing
evidence regarding the association between MBSR and immune functioning. Suggestions for future endeavors to
enhance the evidence-base are provided.
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2. Background
2.1 Mindfulness-Based Stress Reduction
MBSR stems from a structured 8-week program developed by Jon Kabat-Zinn at the University of
Massachusetts Medical Center in 1979 (Kabat-Zinn, 1990). This program teaches individuals how to cope more
effectively with stressors and fosters awareness of the present moment. It involves mindful meditation,
relaxation, and hatha yoga (Kabat-Zinn, 1990; Matousek, Dobkin, & Pruessner, 2010). This program has been
effective in treating healthy individuals with psychological distress, as well as medical patients with chronic pain,
cancer, fibromyalgia, rheumatoid arthritis, heart disease, psoriasis, epilepsy, hypertension, and other chronic
illnesses (Grossman, Nieman, Schmidt, & Walach, 2004; Matchim, & Armer, 2007; Praissman, 2008; Shennan,
Payne, & Fenlon, 2010 ).
2.2 Relationship of Chronic Illness and Emotional Stress with Immune Function
Chronic illness may be emotionally challenging, and research supports the link between chronic psychological
stress and immune suppression (Cohen, 2005; Glaser et al., 1987; Gouin, & Kiecolt-Glaser, 2011; Kiecolt-Glaser,
1991; Kiecolt-Glaser et al., 1987; Marucha, Kiecolt-Glaser, & Favagehi, 1998). Approximately 20-25% of
cancer patients develop depressed mood or anxiety disorders (Antoni, 2003; Armaiz-Pena, Lutgendorf, Cole, &
Sood, 2009; Colle et al., 2010; Shennan et al., 2010). Although there is no known connection between negative
affect and cancer development, there is more clear evidence for psychological correlates with cancer progression
once it has already been diagnosed (Carlson & Speca, 2011; Sephton, Sapolsky, Kraemer, & Spiegel, 2000). For
instance, social support (Levy, Herberman, Whiteside, & Sanzo, 1990; Maunsell, Brisson, & Deschenes, 1995)
and a fighting spirit are associated with longer survival rates, while suppression, helplessness, and hopelessness,
are associated with an unfavorable progression (Carlson & Speca, 2011; Garssen, 2004; Greer, Morris, &
Pettingale, 1979; Kieviet-Stijnen, Visser, Garssen, & Hudig, 2009; Ledesma & Kumano, 2009). Receiving an
HIV diagnosis can also be a highly stressful event (Chida & Vedhara, 2009; Jam et al., 2010; Nott, Vedhara, &
Spickett, 1995), and HIV/AIDS is frequently comorbid with psychiatric disorders. Approximately 22-45% of
individuals with HIV/AIDS become depressed and 16 to 32% of this population experience anxiety (Boyer &
Paharia, 2008). Recent literature supports an association between stress and HIV disease progression (Chida &
Vedhara, 2009; Coates, Stall, Ekstrand, & Solomon, 1989; Irwin, Daniels, Smith, Bloom, & Weiner, 1987;
Kemeny et al., 1994; Kemeny, Weiner, Duran, & Taylor, 1995). The link between psychological distress,
immune functioning, and disease progression highlights the need to incorporate psychological interventions into
treatment for chronic illness.
3. Review
3.1 Literature Search Methods
The present literature review was conducted using the following databases: PsycINFO, Science Direct, Wiley
Online Library, PubMed, and Medline. Research in this area did not begin to flourish until the early 2000s.
Therefore, peer-reviewed English language journal articles published between 2000 and 2011 were reviewed.
Keywords in the search included mindfulness, meditation, MBSR, immune function, immune system, and
natural killer cells. The following selection criteria were then applied: (a) peer-reviewed empirical study, (b)
implemented a standard MBSR protocol based on Kabat-Zinn’s (Kabat-Zinn, 1990) program, and (c) gathered
pre- and post-intervention quantitative measures of immune function. Given these stipulations, the computerized
database search yielded 8 studies. These articles primarily involved groups of heterogeneous patients, patients
specifically with cancer or HIV, or healthy participants. Natural killer cell activity was the most commonly
utilized immune marker, though there was much variation in other immune markers studied, and these selections
were often based on the physical condition of the participant sample involved. To enhance clarity, the following
section regarding the relationship between MBSR and immune function is divided into (a) NK cell comparisons
among all relevant study samples, and (b) all other immune marker comparisons, categorized by health status of
the sample.
3.2 MBSR and NK Cell Activity
Natural killer cells defend against specific intracellular infections, and they can also destroy lymphoid tumor cell
lines (Buckingham, Gillies, & Cowell, 1997; Shannon, 2005). These cells have been the most frequently
implemented immune marker for cancer progression because NK cells are cytotoxic to tumor tissue (Spiegel &
Sephton, 2001) and because reductions in NK activity have been correlated with tumor progression, metastasis,
and increased tumor burden (Anderson, Kiecolt-Glaser, & Glaser, 1994). Increases in NK cell activity and
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number, on the other hand, often reflect an improvement in immune functioning (Alter et al., 2011; Fauci,
Mavilio, & Kottilil, 2005; Robinson et al., 2003).
In a single-group pre- and post-MBSR intervention design with a heterogeneous patient sample (N = 24), the
association between emotional status and immune function after completion of an 8-week MBSR program was
evaluated (Fang et al., 2010). Psychological distress was measured with the Brief Symptom Inventory-18
(BSI-18; Derogatis, 2001) and quality of life was measured with the Medical Outcomes Survey Short-Form
(SF-36; Ware & Sherbourne, 1992). Post-intervention results indicated significant reductions in anxiety (t = 3.40,
p = 0.004) and overall distress, the latter of which was measured by the General Severity Index (t = 2.55, p =
0.023). There were also improvements in reported quality of life, as indicated by significant changes on the
physical (t = -2.41, p = 0.029) and mental (t = -2.26, p = 0.039) composite scores. In terms of markers of
immune function, there were no statistically significant overall changes in NK cells. However, improvements in
the Mental Component Summary were correlated with significantly increased, and thus improved measures of
NK cell activity, as measured by LU20 NK and LU20 PBMC (rs = 0.59 and 0.63, respectively, ps < 0.02).
Improved measures of mental health were also significantly correlated with increases in LU20 NK and LU20
PBMC (rs = 0.69 and 0.71, respectively, ps < 0.01). This suggests that improvement in psychological well-being,
upon completion of an MBSR program, was associated with increased and thus improved levels of NK cytolytic
activity.
In a non-randomized controlled study evaluating the relationship between MBSR participation and immune
function, 75 women with early stage breast cancer who had been treated with surgery (but who had not yet
received chemotherapy), chose to either participate in an MBSR intervention group or in an assessment-only
control group (Witek-Janusek et al., 2008). Thirty-eight women completed the MBSR intervention and
associated measures, and 28 control participants completed relevant assessments. Participants also included 30
age-matched cancer-free individuals to serve as a non-intervention comparison for biological measures.
Assessments included the Quality of Life Index Cancer Version III (Ferrans, 1990), Jalowiec Coping Scale (JCS;
Jalowiec, Murphy, & Powers, 1984), and peripheral blood mononuclear NK cell activity (NKCA), and were
conducted at four time points. MBSR participants reported better quality of life [F = 5.582; df (1, 45); p = 0.023],
particularly in the psychological-spiritual [F = 12.493; df(1, 44); p = 0.001] and family [F = 4.214; df(1,44); p =
0.046] domains. There were also significant treatment effects for optimistic [F = 3.504; df(2, 94); p = 0.034] and
supportive [F = 4.347; df(1, 50); p = 0.04] coping styles. In terms of NKCA measures, there was a significant
main effect of treatment [F = 7.308; df(1, 47); p = 0.010] and a significant interaction effect between treatment
and time [F = 3.480; df(3, 141); p = 0.018], indicating that by Time 4, the NKCA of women in the MBSR group
was greater than that of women in the assessment-only group (p = 0.002). Importantly, at Times 3 and 4, the
NKCA for the MBSR group, but not the assessment-only group, returned to levels that did not differ (p > 0.05)
from the cancer-free comparison group.
Carlson and colleagues (Carlson, Speca, Patel, & Goodey, 2003) conducted a single group pre- and post-MBSR
intervention design study, in which quality of life, mood, stress, and immune function were assessed in
individuals with early stage breast (n = 49) and prostate (n = 10) cancer. Six- and 12-month follow-up
assessments from this study were also reported in a 2007 paper (10). Assessment instruments included the
European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC
QLQ-C30; Aaronson et al., 1993), the Profile of Mood States (POMS; McNair, Lorr, & Droppelman, 1971), and
the Symptoms of Stress Inventory (SOSI; Leckie & Thompson, 1979), and NK cell counts were measured. The
results demonstrated significant post-MBSR improvements in overall global quality of life (t = -2.23, p < 0.05)
and symptoms of stress (t = 3.23, p < 0.01), though no significant changes were evident in any of the POMS
scores. The baseline POMS scores were already quite low, and the authors postulated that the lack of change
may be related to a ceiling effect. In addition, there was no overall change in number of NK cells from pre- to
post-intervention. The mean of the three post-MBSR quality of life scores were significantly improved, as
compared to the pre-intervention EORTC score [F(1, 94) = 7.46, p < 0.005]. Significant improvements in overall
stress also remained at one-year post-MBSR follow-up, and this was seen by the strong effect comparing the
pre-intervention SOSI score to the average of the post-intervention scores [F(1, 85) = 16.30, p < 0.001). There
was a significant quadratic effect across the post-intervention, 6-month, and 12-month follow-up periods for the
NK cell levels, which initially increased and then decreased over time [F(1, 74) = 5.85, p < 0.05].
Robinson et al. (2003) used a non-randomized design in which patients with HIV selected to participate in either
an MBSR intervention group (n = 24) or an assessment-only group (n = 10). All participants remained on the
regular dosage of antiretroviral medication. Data were collected at pre-intervention and post-intervention, or at
matched times for the assessment-only group, so that within-group and between-group measures could be
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assessed. Outcome measures included the Perceived Stress Scale (PSS; Cohen & Williamson, 1988), POMS
(McNair et al., 1971), and the Functional Assessment of HIV Infection (FAHI; Peterman, Cella, Mo, & McCain,
1997). Immune markers included NK cell activity and number. The immune markers were determined by
standard chromium release assay and by flow cytometric phenotypic analysis with anti-CD56 and anti-CD16
antibodies, respectively. No significant within-group changes or between-group differences were found for
psychological or functional health factors. The authors reported a trend toward an improvement in both POMS
and FAHI scores, and indicated that the effects on PSS may have been weakened by virtue of termination and
thus the end of a group support system. Statistical power was insufficient to determine changes in all the
outcome variables because of the small sample size. However, NK cell activity and number improved both
within-MBSR group (t = -2.64, p = 0.015 and t = -3.98, p = 0.001, respectively) and between groups (t = 2.05, p
= 0.049 and t = 3.72, p = 0.001, respectively) when compared to the assessment-only group. In fact, while NK
cell number and activity increased in the MBSR group, it decreased in the assessment-only comparison group.
This result suggests that MBSR may be a viable adjunct strategy for improving immune function in individuals
with HIV.
3.3 MBSR and Other Markers of Immune Function
3.3.1 Heterogeneous Patient Population
In the Fang et al. single-group pre- and post-MBSR intervention study (Fang et al., 2010), levels of C-reactive
protein (CRP) were also examined in relation to changes in psychological distress and quality of life in a
heterogeneous patient sample. CRP is the most commonly utilized acute-phase reactant marker of inflammation
in the body. It mimics the action of antibodies, except it has a wider range of pathogen molecules to which it can
attach. Increased circulating levels of CRP are indicative of an infection or systemic inflammatory response
(Hapuarachi, Chalmers, Winefield, & Blake-Mortimer, 2003). This increase has been correlated with recurring
coronary events post-myocardial infarction (Liuzz, Biasucci, & Gallimore, 1994) and increased risk of diabetes
(Freeman, Norrie, & Caslake, 2002), but positive outcomes in patients with cancer (Scott et al., 2002). The Fang
et al. results indicated that, although there was no statistically significant treatment-related change in CRP level
for the sample as a whole, reductions in CRP correlated with reductions in anxiety and overall distress (rs = 0.64
and 0.52, respectively; ps < 0.05). Improvement in psychological well-being following an MBSR program was
therefore associated with improved levels of CRP.
3.3.2 Cancer Patient Population
Studies have supported that MBSR has a positive impact in areas such as stress, anxiety, depression, and sleep
for cancer patients and survivors (e.g., Branstrom, Kvillemo, & Moskowitz, 2010; Shennan et al., 2010). Studies
have also found promising associations between MBSR and various markers of immune function in this patient
population.
In addition to NKCA, Witek-Janusek and colleagues (Witek-Janusek et al., 2008) measured IFN-, IL-4, IL-6,
and IL-10 immune markers in a non-randomized controlled design study. IFN- is a cytokine important for
immunity against viral and intracellular bacterial infections, as well as for tumor control. With regard to
interleukin functions, IL-4 stimulates the proliferation of B-cells and T-cells, as well as the differentiation of
CD4 cells into Th2 cells, which in turn, produce additional IL-4 cells. IL-6 may act as both a pro-inflammatory
and anti-inflammatory cytokine (Sompayrac, 2003). Secretion by T cells and macrophages in response to tissue
damage leads to inflammation. As an anti-inflammatory cytokine, on the other hand, it is mediated through its
activating effects on IL-1 and IL-10, as well as through its inhibiting effects on TNF- and IL-1 (Shannon, 2005;
Sompayrac, 2003). This interleukin is involved in diabetes, atherosclerosis, depression, lupus, and rheumatoid
arthritis, as well as prostate and metastatic cancer (Shannon, 2005). IL-10 is an anti-inflammatory cytokine,
which has the potential to inhibit pro-inflammatory cytokines, to reduce antigen markers, and to activate T cells,
mast cells, and B cells (Shannon, 2005; Sompayrac, 2003). Participants included an MBSR early-stage cancer
patient group (n = 38), an assessment-only early-stage cancer patient group (n = 28), and a cancer-free biological
measure comparison group (n = 30). Study results showed that there was a significant increase in PBMC
production of IFN- in the MBSR group, as compared to the assessment-only group, with both a significant main
effect for treatment [F = 8.193; df(2, 59); p = 0.001], and an interaction effect between treatment and time [F =
2.981; df(6, 77); p = 0.043]. Furthermore, at the 4-week post-MBSR follow-up, the IFN- levels for the MBSR
group, but not for the assessment-only group, were comparable to those of the cancer-free comparison group (p >
0.05). Results also indicated a significantly lower, and thus improved, level of interleukins produced by the
PBMC cells in the MBSR group, as compared to the assessment-only group. There were main treatment effects
for IL-4 [F = 12.420; df(1, 33); p = 0.001], IL-6 [F = 5.091; df(1, 33); p = 0.031], and IL-10 [F = 4.822; df(1,
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33); p = 0.035]. Importantly, at the 4-week post-MBSR follow-up, each of these PBMC interleukin immune
marker levels in the MBSR group, but not in the assessment-only group, were equivalent to those in the
cancer-free comparison group (p > 0.05 for IL-4, 6, and 10; Witek-Janusek et al., 2008).
In the Carlson et al. (2003) single group pre- and post-MBSR intervention design study, measures of immune
function (aside from NK count) included NKT, B, T total, T helper, and T cytotoxic cell counts, as well as NK
and T cell production of TNF, IFN-, IL-4, and IL-10. The post-MBSR follow-up results (Carlson et al., 2007)
revealed no significant change in the overall number of lymphocytes or cell subsets. However, there was a
significant increase in T cell production of anti-inflammatory IL-4 (t = -3.13, p < 0.01), as well as a significant
decrease in pro-inflammatory IFN- (t = 2.18, p < 0.05), and NK cell production of IL-10 (t = 2.22, p < 0.05).
There was also a significant decrease in number of monocytes (t = 2.26, p < 0.05) and an increase in number of
eosinophils (t = -2.23, p < 0.05), both trends which continued at one-year follow-up [F(1, 79) = 6.74, p < 0.01
and F(1, 155) = 21.31, p < 0.001, respectively]. These results support a change in cancer-related cytokine
proliferation following MBSR participation. Unlike more recent studies, there were no significant correlations
between psychological and immunological change scores at the p < 0.01 level.
3.3.3 HIV Patient Population
Several studies have also evaluated the relationship between MBSR and immune function in individuals with
HIV. In a pilot study conducted in Iran, the CD4 immunological effects of an 8-week MBSR program were
examined in a single group of patients (n = 6) who tested positive for HIV. Assessment times included pre- and
post-intervention, as well as 3-, 6-, 9-, and 12-month follow-ups. At each assessment period, the CD4 level
means were 549.0 (SD = 173.6), 640.2 (SD = 189.4; p = 0.01), 655.3 (SD = 183.4; p =0.001), 638.0 (SD = 167.4;
p = 0.004), 619.3 (SD = 163.2; p = 0.004), and 595.2 (SD = 165.6; p = 0.04), respectively. No patients received
antiretroviral therapy, and the researchers inferred that changes in CD4 levels were associated with MBSR
program participation (Jam et al., 2010).
These findings are consistent with a recent single-blind randomized control trial design to test the effects of an
8-week MBSR program (n = 25) compared to a 1-day control stress-reduction education seminar (n = 15) on
CD4+ T lymphocyte counts in emotionally stressed individuals with HIV (Creswell, Myers, Cole, & Irwin,
2009). Assessments were conducted at matched time points before and after the MBSR intervention. At baseline,
both groups endorsed moderate levels of distress (M = 9.8, SD = 3.7), measured with the Patient Health
Questionnaire-9 (PHQ-9; Spitzer, Williams, Kroenke, & Hornyak, 2000). Results indicated that while CD4+ T
lymphocytes declined in the control seminar group (ranging from Mpre-seminar = 757, SE = 70 to Mpost-seminar = 572,
SE = 71), levels remained stable in the MBSR group from pre- to post-intervention (M = 618, SE = 47 to M =
628, SE = 52 cells/mm3, respectively). This shows a significant time X treatment interaction effect [F(1, 45) =
5.70, p = 0.02]. In addition, higher rates of attendance among the MBSR group were associated with greater
CD4+ T lymphocyte levels [t(74) = 2.09, p = 0.04] post-intervention. This suggests that MBSR may be useful as
an adjunct treatment to attenuate the decline of CD4+T lymphocyte cells in individuals with HIV.
Robinson et al. (2003) conducted a non-randomized study, in which patients with HIV elected to participate in
either an MBSR intervention group (n = 24) or an assessment-only group (n = 10). In addition to NK cell
number and activity, RANTES (regulated upon activation, normal T-cell expressed and presumably secreted)
and Stromal-Derived Factor (SDF-1) immune markers were measured. The RANTES represents chemokines that
compete with HIV for the chemokine receptor type 5 (CCR5) on lymphocytes, while SDF-1 facilitates the spread
of HIV (Rowland-Jones, Pinheiro, & Kaul, 2001). Therefore, an increase in RANTES and a decrease in SDF-1
would indicate improved immunity. The results yielded a significant within-group post-MBSR increase in
RANTES (t = -2.66, p = 0.015), while SDF-1 levels remained stable (t = -0.44, p = 0.666). However, there were
not within-group changes for the assessment-only comparison group on the measures of RANTES or SDF-1.
Due to the small sample, there were no significant between-group differences. This study provides limited
evidence that MBSR may facilitate improvement in immunity among individuals with HIV.
3.3.4 Healthy Participants
Davidson et al. (2003) conducted a randomized controlled study examining the effects of an 8-week MBSR
program (n=25) on immune function, compared with a wait-list control group (n = 16), in healthy employees at a
biotechnology corporation. At the conclusion of the MBSR program, individuals in both groups were injected
with the influenza vaccine and antibody titer response levels were obtained 4- and 8-weeks later. The MBSR
group exhibited a significantly larger increase in antibody titers between weeks 4 and 8 following the
vaccination, as compared to the controls [t(33) = 2.05, p < 0.05]. These findings support beneficial effects of
MBSR on immune function.
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4. Discussion
There is strong support for improved anxiety, stress, and quality of life following MBSR intervention (e.g.,
Carlson et al., 2003; Fang et al., 2010; Witek-Janusek, 2008). There is mixed support, however, in terms of
beneficial immune changes post-MBSR intervention, suggesting a small overall effect (Carlson et al., 2003;
Fang et al., 2010; Robinson et al., 2003; Witek-Janusek et al., 2008). Although each of the 8 studies reviewed
showed some improvement in immune function, the specific changes were variable. Of the 5 studies that
included measures of NK cell activity, two demonstrated significant improvement (Robinson et al., 2003;
Witek-Janusek et al., 2008) and one showed significant improvement only when correlated with beneficial
emotional changes (Fang et al., 2010). Carlson’s 2003 study did not show significant changes in NK levels at
post-MBSR intervention, though the 2007 follow-up paper (Carlson et al., 2007) displayed a significant
quadratic effect. Also unlike the other studies, this one showed no significant correlation between psychological
and immunological changes. However, in evaluating the current literature base as a whole, there was a trend
toward favorable immune changes in those individuals who exhibit a greater improvement in psychological
status. This is indicative of a more moderate effect of MBSR on improved immune function in individuals who
also gain the most psychological benefit. Natural killer cell activity (Fang et al., 2010; Robinson et al., 2003;
Witek-Janusek et al., 2008 ), as well as CRP (Fang et al., 2010), interferon (Witek-Janusek et al., 2008),
interleukin (Witek-Janusek et al., 2008), RANTES (Robinson et al., 2003), and CD4 (Jam et al., 2010, Creswell
et al., 2009) levels appear moderately correlated with improvements in anxiety and distress following a standard
MBSR intervention.
4.1 Proposed Mechanisms
Stressful stimuli can adversely impact physiological functioning and overall health (Robinson et al., 2003,
Webber, 2010) through chronic activation of the sympathetic nervous system and hormone-release in the
hypothalamic-pituitary-adrenal (HPA) axis (Buckingham et al., 1997; Fang et al., 2010), as well as through
maladaptive coping behaviors (Kendall-Tackett, 2010). On the other hand, these pathways may also account for
the mechanism by which psychotherapy can positively influence health. Research indicates that MBSR prevents
negative neuroendocrine-immune and behavioral effects related to chronic stress through relaxation and shifts in
cognitive, emotional, biological, and behavioral domains (Witek-Janusek et al., 2008). This has been supported
by numerous studies demonstrating the psychological benefits associated with MBSR practice. Both healthy and
chronically ill MBSR participants have experienced significant reductions in stress, anxiety, and depression
(Carlson et al., 2003; Carlson, Speca, Patel, & Goodey, 2004; Matousek et al., 2010; Speca, Carlson, Goodey, &
Angen, 2000;, Tacon, Caldera, & Ronaghan, 2004). Practice in MBSR has also been associated with positive
states of mind (Branstrom et al., 2010; Kieviet-Stijnen et al., 2008), emotional adjustment (Matousek et al.,
2013; Tacon et al., 2004), a fighting spirit (Carlson et al., 2011), an internal locus of control (Carlson et al.,
2004), and a better subjective quality of life (Carlson et al., 2004; Cohen et al., 2005). Such effects are correlated
with improved psychosocial and health outcomes (Greer et al., 1979).
Given the well-established association between psychosocial factors and immune function, these beneficial
psychosocial outcomes may explain the above findings of improved immune functioning in MBSR participants
(e.g., Fang et al., 2010; Witek-JAnusek et al., 2008). Studies indicate that this process may be mediated by the
neuroendocrine system, particularly through those components related to the stress response. High levels of
cortisol, for instance, have been associated with stress, depression, and immune suppression, and such elevations
have been found in 75% of a sample of metastatic breast and ovarian cancer patients (Touitou, Bogdan, Levi,
Benavides, & Auzeby, 1996).
This mechanism is further supported by growing evidence that cortisol levels decrease following participation in
an MBSR program (Matousek et al., 2010; Robinson et al., 2003). For instance, Carlson et al. (2007) found that
in a single subject pre- and post-MBSR intervention with 6- and 12-month follow-ups in early stage breast or
prostate cancer patients (N = 59), cortisol levels decreased consistently. There were significant decreases in
average cortisol levels from baseline to post-MBSR [F(1, 88) = 19.85, p < 0.001] and at one-year follow-up [F(1,
28) = 32.50, p < 0.001].
4.2 Implications and Future Directions
Overall, the findings support a relationship between MBSR practice and beneficial immunological outcomes.
This is important because optimal immune functioning will enhance disease-prevention and the fight against
existing illness. Such an association is particularly relevant in today’s high stress environment, which is often
amplified by chronic illness (Boyer & Paharia, 2008). Individuals with chronic illnesses such as cancer or HIV
may be at a greater risk for a spiral of increasing stress and immune dysregulation (Boyer & Paharia, 2008;
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Robinson et al., 2003; Shannon et al., 2005). MBSR has no known adverse side-effects (Praissman, 2008), and it
may therefore serve as an important complementary treatment to break this negative cycle and improve health
outcomes.
Several limitations are present within the reviewed research studies, and this often involves the use of study
designs and measures based on convenience. Despite the existence of only a limited number of studies in this
area, there is much variability in the choice of outcome measures, which precludes pooling data to develop more
conclusive results. This is especially troublesome due to the small sample sizes in the majority of studies, as well
as much variability in the sample populations and study designs utilized. Some studies implemented single-group
pre- and post-assessments, while others used an assessment-only control group. A major limitation in not
including a control group is that it precludes the ability to infer causation related to any changes following
participation in the MBSR program. In addition, nonspecific factors such as group interaction, expectancy effects,
and therapeutic alliance, may have beneficial effects and cannot be controlled for in a single group design.
However, even when a control group was used, the majority of the studies were non-randomized. The frequent
participant self-selection between MBSR and assessment-only groups may have decreased validity related to
sampling bias.
Given the consistent limitations of these studies, the need for statistically rigorous randomized controlled studies
and larger sample sizes is important in order to more firmly determine the effects of MBSR on immune function.
It may be helpful to examine the different components of MBSR to determine what the most effective aspects
are in enhancing both physical and psychological outcomes. This strategy should also be compared to other
treatment modalities to see whether other techniques might be just as effective.
Future studies (Table 1) may examine whether mediators, such as change in sleep quality, impact the significant
correlations between psychological functioning and immune markers. This may lead to more targeted treatment
interventions. Importantly, studies that involve longer-term follow-up may help to determine the extent to
which relevant biological changes impact disease outcomes. It may also be interesting to track whether
MBSR-related changes in immune markers, such as reduced inflammation, might be directly related to changes
in specific disease outcomes.
Table 1. Ongoing randomized clinical trials of MBSR and immune function
Investigator(s) Condition Patients Purpose
Study
Completion
Date
Fang C67 Cervical
Dysplasia 300
To compare mindfulness-based stress with general health education
in improving immune response to human papillomavirus in patients
with cervical dysplasia.
August
2012
Moynihan
JA68 Psoriasis 200
To examine and compare the effects of the MBSR program and the
Living Well (LW) program on adults with psoriasis in terms of how
these programs may affect their psoriasis, immune function,
physical and emotional health, and well-being.
March 2013
Lengacher
CA69
Breast
Cancer 300
1) To determine the efficacy of the MBSR program in improving
psychological and physical symptoms, quality of life and measures
of immune function and a stress hormone (cortisol)
2) To determine whether positive effects achieved from the MBSR
program are mediated through changes in mindfulness and fear of
recurrence of breast cancer.
3) To determine whether positive effects achieved from the MBSR
program are modified by specific patient characteristics measured at
baseline
December
2013
Overall, this review indicates a positive relationship between MBSR and immune function (Creswell et al., 2009;
Davidson et al., 2003; Jam et al., 2010; Robinson et al., 2003; Witek-Janusek, 2008). Though more rigorous
studies are needed, there is evidence that the mechanisms by which MBSR is effective may include improvement
in coping skills, mood, and stress levels (Carlson & Speca, 2011). This approach may enhance a patient’s ability
to take an active role in personal healthcare and maintain quality of life.
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References
Aaronson, N. K., Ahmedzai, S., Bergman, B., Bullinger, M., Cull, A., Duez, N. J., ... Haes, J. C. (1993). The
European organization for research and treatment of cancer QLQ-C30: A quality-of-life instrument for use
in international clinical trials in oncology. J Natl Cancer Inst, 85, 365-76.
http://dx.doi.org/10.1093/jnci/85.5.365
Alter, G., Heckerman, D., Schneidewind, A., Fadda, L., Kadie, C. M., Carlson, J. M., ... Altfeld, M. (2011 Aug).
HIV-1 adaptation to NK-cell-mediated immune pressure. Nature, 476(7358), 96-100.
http://dx.doi.org/10.1038/nature10237
Anderson, B. L., Kiecolt-Glaser, J. K., & Glaser, R. (1994). A biobehavioral model of cancer stress and disease
course. Am Psychol, 49, 389-404. http://dx.doi.org/10.1037/0003-066X.49.5.389
Antoni, M. H. (2003). Psychoneuroendocrinology and psychoneuroimmunology of cancer: Plausible
mechanisms worth pursuing? Brain Behav Immun, 17, 84-91.
http://dx.doi.org/10.1016/S0889-1591(02)00074-0
Armaiz-Pena, G. N., Lutgendorf, S. K., Cole, S. W., & Sood, A. K. (2009). Neuroendocrine modulation of cancer
progression. Brain Behav Immun, 23, 10-15. http://dx.doi.org/10.1016/j.bbi.2008.06.007
Boyer, B. A., & Paharia, M. I. (2008 editors). Comprehensive handbook of clinical health psychology. Hoboken,
NJ: Wiley. 55-81.
Branstrom, R., Kvillemo, P., Brandberg, Y., & Moskowitz, J. T. (2010). Self-report mindfulness as a mediator of
psychological well-being in a stress reduction intervention for cancer patients—A randomized study. Ann
Behav Med, 39, 151-61. http://dx.doi.org/10.1007/s12160-010-9168-6
Buckingham, J. C., Gillies, G. E., & Cowell, A-M. (1997 editors). Stress, stress hormones, and the immune
system. West Sussex, England: Wiley.
Carlson, L. E., & Speca, M. (2011). Mindfulness-based cancer recovery. Oakland, CA: New Harbinger; 17-31.
Carlson, L. E., Speca, M., Faris, P., & Patel, K. D. (2007). One year pre-post intervention follow-up of
psychological, immune, endocrine and blood pressure outcomes of mindfulness-based stress reduction in
breast and prostate cancer outpatients. Brain Behav Immun, 21, 1038-49.
http://dx.doi.org/10.1016/j.bbi.2007.04.002
Carlson, L. E., Speca, M., Patel, K. D., & Goodey, E. (2004). Mindfulness-based stress reduction in relation to
quality of life, mood, symptoms of stress, and levels of cortisol, dehydrepiandrosterone sulfate, and
melatonin in breast and prostate cancer outpatients. Psychoneuroendocrinology, 29, 448-74.
http://dx.doi.org/10.1016/S0306-4530(03)00054-4
Carlson, L. E., Speca, M., Patel, K. D., & Goodey, E. (2003). Mindfulness-based stress reduction in relation to
quality of life, mood, symptoms of stress, and immune parameters in breast and prostate cancer outpatients.
Psychosom Med, 65, 571-81. http://dx.doi.org/10.1097/01.PSY.0000074003.35911.41
Chida, Y., & Vedhara, K. (2009). Adverse psychosocial factors predict poorer prognosis in HIV disease: A
meta-analytic review of prospective investigations. Brain Behav Immun, 23, 434-45.
http://dx.doi.org/10.1016/j.bbi.2009.01.013
Coates, T. J., Stall, R., Ekstrand, M., & Solomon, G. (1989). Psychological predictors as cofactors for disease
progression in men infected with HIV: The San Francisco men’s health study. Presented at the V
International AIDS Conference. Montreal, Canada.
Cohen, S. (2005). Keynote presentation at the Eighth International Congress of Behavioral Medicine: The
Pittsburgh common cold studies—Psychosocial predictors of susceptibility to respiratory infectious illness.
Int J Behav Med, 12, 123-31. http://dx.doi.org/10.1207/s15327558ijbm1203_1
Cohen, S., & Williamson, A. (1988). Perceived stress in a probability sample of the United States. In: Spacapan
S, Oskamp S, editors. Social psychology of health. Newbury Park, CA: Sage; p. 31-67.
Colle, K. F., Vincent, A., Cha, S. S., Loehrer, L. L., Bauer, B. A., Wahner-Roedler, D. L. (2010). Measurement of
quality of life and participant experience with the mindfulness-based stress reduction program. Complement
Ther Clin Pract, 16, 36-40. http://dx.doi.org/10.1016/j.ctcp.2009.06.008
Creswell, J. D., Myers, H. F., Cole, S. W., & Irwin, M. R. (2009). Mindfulness meditation training effects on
CD4+ T lymphocytes in HIV-1 infected adults: a small randomized controlled trial. Brain Behav Immun, 23,
www.ccsenet.org/cco Cancer and Clinical Oncology Vol. 2, No. 1; 2013
70
184-188. http://dx.doi.org/10.1016/j.bbi.2008.07.004
Davidson, R. J., Kabat-Zinn, J., Schumacher, J., Rosenkranz, M., Muller, D., Santorelli, S. F., ... Sheridan, J. F.
(2003). Alterations in brain and immune function produced by mindfulness meditation. Psychosom Med, 65,
564-70. http://dx.doi.org/10.1097/01.PSY.0000077505.67574.E3
Derogatis, L. R. (2001). Brief symptom inventory 18: administration, scoring, and procedures manual.
Minneapolis, MN: Pearson.
Fang, C. (2012). Mindfulness-Based Stress Reduction or General Health Education improving Immune
Response to Human Papillomavirus in Patients with Cervical Dysplasia, Fox Chase Cancer Center, PA. ,
www.clinical trials.gov, Identifier: NCT00653146.
Fang, C. Y., Reibel, D. K., Longacre, M. L., Rosenzweig, S., Campbell, D. E., & Douglas, S. D. (2010).
Enhanced psychosocial well-being following participation in a mindfulness-based stress reduction program
is associated with increased natural killer cell activity. J Altern Complement Med, 16, 531-38.
http://dx.doi.org/10.1089/acm.2009.0018
Fauci, A. S., Mavilio, D., & Kottilil, S. (2005). NK cells in HIV infection: Paradigm for protection or targets of
ambush. Nature Reviews Immunology, 5, 835-843. http://dx.doi.org/10.1038/nri1711
Ferrans, C. E. (1990). Development of a quality of life index for patients with cancer. Oncol Nurse Forum, 17,
15-19.
Freeman, D. J., Norrie, J., & Caslake, M. J. (2002). C-reactive protein is an independent predictor of risk for the
development of diabetes in the west of Scotland coronary prevention study. Diabetes, 51, 1596-1600.
http://dx.doi.org/10.2337/diabetes.51.5.1596
Garssen, B. (2004). Psychological factors and cancer development: Evidence after 30 years of research. Clin
Psychol Rev, 24(3), 315-38. http://dx.doi.org/10.1016/j.cpr.2004.01.002
Glaser, R., Rice, J., Sheridan, J., Fertel, R., Stout, J., Speicher, C., ... Kiecolt-Glaser, J. (1987). Stress-related
immune suppression: health implications. Brain Behav Immun, 1, 7-20.
http://dx.doi.org/10.1016/0889-1591(87)90002-X
Gouin, J., & Kiecolt-Glaser, J. (2011). The impact of psychological stress on wound healing: methods and
mechanisms. Immun Allergy Clin North Am, 31, 81-93. http://dx.doi.org/10.1016/j.iac.2010.09.010
Greer, S., Morris, T., & Pettingale, K. W. (1979). Psychological response to breast cancer: Effect on outcome.
Lancet, 2(8146), 785-87. http://dx.doi.org/10.1016/S0140-6736(79)92127-5
Grossman, P., Niemann, L., Schmidt, S., & Walach, H. (2004). Mindfulness-based stress reduction and health
benefits: a meta-analysis. J Psychosom Res, 57, 35-43. http://dx.doi.org/10.1016/S0022-3999(03)00573-7
Hapuarachchi, J. R., Chalmers, A. H., Winefield, A. H., & Blake-Mortimer, J. S. (2003). Changes in clinically
relevant metabolites with psychological stress parameters. Behav Med, 29(2), 52-59.
http://dx.doi.org/10.1080/08964280309596057
Irwin, M., Daniels, M., Smith, T., Bloom, E., & Weiner, H. (1987). Impaired natural killer cell activity during
bereavement. Brain Behav Immun, 1, 98-104. http://dx.doi.org/10.1016/0889-1591(87)90011-0
Jalowiec, A., Murphy, S. P., & Powers, M. J. (1984). Psychometric assessment of the Jalowiec Coping Scale.
Nurse Res, 33, 157-61.
Jam, S., Imani, A. H., Foroughi, M., SeyedAlinaghi, S. A., Koochak, H. E., & Mohraz, M. (2010). The effects of
mindfulness-based stress reduction program in Iranian HIV/AIDS patients: A pilot study. Acta Medica
Iranica, 48, 101-6.
Kabat-Zinn, J. (1990). Full catastrophe living. New York: Delta; 1-46.
Kemeny, M. E., Weiner, H., Duran, R., & Taylor, S. E. (1995). Immune system changes after the death of a
partner in HIV-positive gay men. Psychosom Med, 57, 547-54.
Kemeny, M. E., Weiner, H., Taylor, S. E., Schneider, S., Visscher, B., & Fahey, J. L. (1994). Repeated
bereavement, depressed mood, and immune parameters in HIV seropositive and seronegative gay men.
Health Psychol, 13, 14-24. http://dx.doi.org/10.1037/0278-6133.13.1.14
Kendall-Tackett, K. (2010 editor). The psychoneuroimmunology of chronic disease. Washington, DC: American
Psychological Association.
www.ccsenet.org/cco Cancer and Clinical Oncology Vol. 2, No. 1; 2013
71
Kiecolt-Glaser, J. K., Dura, J. R., Speicher, C. E., & Trask, O. J. (1991). Spousal caregivers of dementia victims:
longitudinal changes in immunity and health. Psychosom Med, 53, 345-62.
Kiecolt-Glaser, J. K., Fisher, L. D., Ogrocki, P., Stout, J. C., Speicher, C. E., & Glaser, R. (1987). Marital quality,
marital disruption, and immune function. Psychosom Med, 49, 13-34.
Kieviet-Stijnen, A., Visser, A., Garssen, B., & Hudig, W. (2008). Mindfulness-based stress reduction training for
oncology patients: Patient’s appraisal and changes in well-being. Patient Educ Couns, 72, 436-42.
http://dx.doi.org/10.1016/j.pec.2008.05.015
Leckie, M. S., & Thompson, E. (1979). Symptoms of stress inventory. Seattle, WA: University of Washington.
Ledesma, D., & Kumano, H. (2009). Mindfulness-based stress reduction and cancer: A meta analysis.
Psychooncology, 18, 571-79. http://dx.doi.org/10.1002/pon.1400
Lengacher, C. A., Johnson-Mallard, V., Post-White, J., Moscoso, M. S., Jacobsen, P. B., Klein, T. W., ... Kip, K.
E. (2009). Randomized controlled trial of mindfulness-based stress reduction (MBSR) for survivors of
breast cancer. Psychooncology, 18(12), 1261-72. http://dx.doi.org/10.1002/pon.1529
Levy, S. M., Herberman, R. B., Whiteside, T., & Sanzo, K. (1990). Perceived social support and tumor
estrogen/progesterone receptor status as predictors of natural killer cell activity in breast cancer patients.
Psychosom Med, 52(1), 73-85.
Liuzzo, G., Biasucci, L. M., & Gallimore, J. R. (1994). The prognostic value of C-reactive protein and serum
amyloid A in severe unstable angina. N Engl J Med, 331, 417-24.
http://dx.doi.org/10.1056/NEJM199408183310701
Marucha, P. T., Kiecolt-Glaser, J. K., & Favagehi, M. (1998). Mucosal wound healing is impaired by
examination stress. Psychosom Med, 60, 362-65. http://dx.doi.org/10.1188/07.ONF.1059-1066
Matchim, Y., & Armer, J. M. (2007). Measuring the psychological impact of mindfulness meditation on health
among patients with cancer: a literature review. Oncol Nurse, 34, 1059-66.
Matousek, R. H., Dobkin, P. L., & Pruessner, J. (2010). Cortisol as a marker for improvement in
mindfulness-based stress reduction. Complement Ther Clin Pract, 16, 13-19.
http://dx.doi.org/10.1016/j.ctcp.2009.06.004
Maunsell, E., Brisson, J., & Deschenes, L. (1995). Social support and survival among women with breast cancer.
Cancer, 76, 631-637. http://dx.doi.org/10.1002/1097-0142(19950815)76:4<631::AID-CNCR2820760414>
3.0.CO;2-9
McNair, D. A., Lorr, M., & Droppelman, L. F. (1971). Profile of mood states (POMS). San Diego, CA:
Educational and Industrial Testing Service.
Moynihan, J. A. et al. (2011). Improving Psoriasis through Health and Well-Being, University of Rochester, NY.
Nott, K. H., Vedhara, K., & Spickett, G. P. (1995). Psychology, immunology, and HIV.
Psychoneuroendocrinology, 20, 451-74. http://dx.doi.org/10.1016/0306-4530(94)00080-T
Peterman, A. H., Cella, D., Mo, F., & McCain, N. (1997). Psychometric validation of the revised Functional
Assessment of Human Immunodeficiency Virus Infection (FAHI) quality of life instrument. Qual Life Res,
6, 572-84. http://dx.doi.org/10.1023/A:1018416317546
Praissman, S. (2008). Mindfulness-based stress reduction: a literature review and clinician’s guide. J Am Acad
Nurse Pract, 20, 212-16. http://dx.doi.org/10.1111/j.1745-7599.2008.00306.x
Reibel, D. K., Greeson, J. M., Brainard, G. C., & Rosenzweig, S. (2001). Mindfulness-based stress reduction and
health-related quality of life in a heterogeneous patient population. Gen Hosp Psychiatry, 23(4), 183-92.
http://dx.doi.org/10.1016/S0163-8343(01)00149-9
Robinson, F. P., Mathews, H. L., & Witek-Janusek, L. (2003). Psycho-endocrine-immune response to
mindfulness-based stress reduction in individuals infected with the Human Immunodeficiency Virus: a
quasiexperimental study. J Altern Complement Med, 9, 683-94.
http://dx.doi.org/10.1089/107555303322524535
Rowland-Jones, S., Pinheiro, S., & Kaul, R. (2001). New insights into host factors in HIV-1 pathogenesis. Cell,
104(4), 473-76. http://dx.doi.org/10.1016/S0092-8674(01)00235-5
Scott, H. R., McMillan, D. C., Forrest, L. M., Brown, D. J., McArdle, C. S., & Milroy, R. (2002). The systemic
inflammatory response, weight loss, performance status, and survival in patients with inoperable non-small
www.ccsenet.org/cco Cancer and Clinical Oncology Vol. 2, No. 1; 2013
72
cell lung cancer. Br J Cancer, 87, 264-67. http://dx.doi.org/10.1038/sj.bjc.6600466
Sephton, S. E., Sapolsky, R. M., Kraemer, H. C., & Spiegel, D. (2000). Diurnal cortisol rhythm as a predictor of
breast cancer survival. J Natl Cancer Inst, 92(12), 994-1000. http://dx.doi.org/10.1093/jnci/92.12.994
Shannon, J. B. (2005). Immune system disorders sourcebook. 2nd ed. Detroit. MI: Omnigraphics, 1-671.
Shennan, C., Payne, S., & Fenlon, D. (2010). What is the evidence for the use of mindfulness-based
interventions in cancer care? A review. Psychooncology, 20.
Sibinga, E. M., Stewart, M., Magyari, T., Welsh, C. K., Hutton, N., & Ellen, J. M. (2008). Mindfulness-based
stress reduction for HIV-infected youth: a pilot study. Explore, 4, 36-7.
http://dx.doi.org/10.1016/j.explore.2007.10.002
Sompayrac, L. (2003). How the immune system works. 2nd ed. Malden, MA: Blackwell; 1-130
Speca, M., Carlson, L. E., Goodey, E., & Angen, M. (2000). A randomized wait-list controlled clinical trial: The
effect of a mindfulness meditation-based stress reduction program on mood and symptoms of stress in
cancer outpatients. Psychosom Med, 62, 613-22.
Spiegel, D., & Sephton, S. E. (2001). Psychoneuroimmune and endocrine pathways in cancer: effects of stress
and support. Sem Clin Neuropsych, 6, 252-65. http://dx.doi.org/10.1053/scnp.2001.26995
Spitzer, R. L., Williams, J. B., Kroenke, K., Hornyak, R., & McMurray, J. (2000). Validity and utility of the
PRIME-MD patient health questionnaire in assessment of 3000 obstetric-gynecologic patients: the
PRIME-MD Patient Health Questionnaire Obstetrics-Gynecology Study. Am J Obstet Gynecol, 183,
759-769. http://dx.doi.org/10.1067/mob.2000.106580
Tacon, A. M., Caldera, Y. M., & Ronaghan, C. (2004). Mindfulness-based stress reduction in women with breast
cancer. Fam Syst Health, 22, 193-203. http://dx.doi.org/10.1037/1091-7527.22.2.193
Touitou, Y., Bogdan, A., Levi, F., Benavides, M., & Auzeby, A. (1996). Disruption of the circadian patterns of
serum cortisol in breast and ovarian cancer patients: relationships with tumor marker antigens. Br J Cancer,
74, 1248-52. http://dx.doi.org/10.1038/bjc.1996.524
Ware, J. E., & Sherbourne, C. D. (1992). The MOS 36-item short-form health survey (SF-36): conceptual
framework and item selection. Medical Care, 30, 473-83.
http://dx.doi.org/10.1097/00005650-199206000-00002
Webber, M. A. (2010). Psychoneuroimmunological outcomes and quality of life. Transfus Apher Sci, 42, 157-61.
http://dx.doi.org/10.1016/j.transci.2010.01.014
Witek-Janusek, L., Albuquerque, K., Chroniak, K. R., Chroniak, C., Durazo-Arvizu, R., & Mathews, H. L.
(2008). Effect of mindfulness based stress reduction on immune function, quality of life and coping in
women newly diagnosed with early stage breast cancer. Brain Behav Immun, 22, 969-81.
http://dx.doi.org/10.1016/j.bbi.2008.01.012