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Abstract

As clinicians and the public move from a pathological (disease-focused) to a salutogenic (health-focused) understanding of the human condition, protective factors contributing to the health of individuals and societies have received more attention. The study of resilience is a foundational aspect of this critical shift and a promising way to understand and interpret our responses to complex multi-domain perturbations from stressful and traumatic experiences. However,as researchers from different fields engage in resilience research, a plethora ofdefinitions and understandings have emerged requiring detailed academic discourse. Rapidly changing global, political, economic and environmental circumstances highlight the need for effective solutions to understand and enhance resilience. These solutions require a multidisciplinary understanding of the concept of resilience.
, 20140057, published 22 August 20144 2014 Interface Focus
Shamini Jain, Meredith Sprengel, Kevin Berry, John Ives and Wayne Jonas
The tapestry of resilience: an emerging picture
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Introduction
Cite this article: Jain S, Sprengel M, Berry K,
Ives J, Jonas W. 2014 The tapestry of resilience:
an emerging picture. Interface Focus 4:
20140057.
http://dx.doi.org/10.1098/rsfs.2014.0057
One contribution of 9 to a Theme Issue
‘Towards a systems model of resilience’.
Subject Areas:
systems biology
Keywords:
resilience, health, systems
Author for correspondence:
Meredith Sprengel
e-mail: msprengel@siib.org
The tapestry of resilience: an emerging
picture
Shamini Jain, Meredith Sprengel, Kevin Berry, John Ives and Wayne Jonas
Samueli Institute, Alexandria, VA 22314, USA
As clinicians and the public move from a pathological (disease-focused) to a
salutogenic (health-focused) understanding of the human condition, protec-
tive factors contributing to the health of individuals and societies have received
more attention. The study of resilience is a foundational aspect of this critical
shift and a promising way to understand and interpret our responses to complex
multi-domain perturbations from stressful and traumatic experiences. However,
as researchers from different fields engage in resilience research, a plethora of
definitions and understandings have emerged requiring detailed academic
discourse. Rapidly changing global, political, economic and environmental
circumstances highlight the need for effective solutions to understand and
enhance resilience. These solutions require a multidisciplinary understanding
of the concept of resilience.
In January 2012, Samueli Institute convened a meeting entitled ‘Towards a
systems model of resilience: state of the science and future directions’ held at the
National Academy of Sciences’ Beckman Center to help bridge the current gaps
in understanding interdisciplinary approaches to the study of resilience and to
encourage cross-discipline dialogue on the potential promise of creating sys-
tems models of resilience. Prominent scientists in scientific fields such as
systems biology, systems engineering, mathematics, biology, psychoneuroim-
munology, psychoneuroendocrinology, sociology, medicine and psychology,
along with key Department of Defense leaders, gathered to both share perspec-
tives and explore the possible utility of creating interdisciplinary, systems-based
models for understanding resilience. The meeting was highly successful in
engendering collaborative education and enthusiasm for forwarding the
study of resilience in an interdisciplinary and systems-oriented fashion. In
this Theme Issue of Interface Focus, we summarize findings that arose from a
first major effort to explore resilience from a diversity of disciplines and per-
spectives. The culmination of these efforts is a rich tapestry of views, ready
to be woven into a coherent whole.
The classical Latin-origin definition of resilience (resili (ens), present participle
of resilire—to spring back, or rebound) was used to describe the tensile properties
of material objects (also known as elastic memory) such as wood and metals
[1]. This conceptualization of resilience is understood as ‘recoiling’ to an original
state after a perturbation. Since the use of the term in the early 1800s, the concept
of resilience has been applied to many fields of human endeavour, including the
study of ecosystems and human responses to adverse conditions such as natural
disasters, war and personal loss [2]. Although this Theme Issue is focused on the
domain of health-oriented resilience, the study has expanded to include many
disciplines such as politics, diplomacy and economics, to name a few.
While the interest and efforts in studying resilience expand, our understand-
ing of what resilience is and how best to enhance it in various contexts remains
fragmented. A consensus definition of the term resilience has not come to frui-
tion, although several themes emerge from the existing data. A literature search
conducted by the RAND Corporation unearthed 122 definitions of resilience.
Three major themes emerge from these varied definitions that indicate our cur-
rent understanding of resilience as (i) a dynamic process (rather than as a ‘trait’)
that evolves across time, (ii) adaptability to change and, generally, to adversity,
and (iii) either a return to homeostasis, or an enhanced state of functioning
(e.g. growth) [3]. When examining resilience as a response to adversity, our cur-
rent understanding needs to expand beyond the concept of a return to
homeostasis, to instead a new normal that is characterized by stability through
&2014 The Author(s) Published by the Royal Society. All rights reserved.
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change. Being resilient entails more than the ability not only to
adjust and adapt to a perturbation, but also to transform when
the perturbation requires a new conceptualization of the way in
which to effectively proceed forward. This process does not
return an individual or system to a previous homeostatic set-
point. Rather, the concept of resilience uses learning from
prior experiences to effectively adapt by anticipating and pre-
dicting current needs, and modifying feedback inputs to
achieve maximal efficiency of that system within a particular
context and timeline. This evolution in understanding resili-
ence from a dynamic perspective is consistent with a control
systems model of allostatic, versus homeostatic, regulation
[4]. The relationship between adversity and enhanced resili-
ence has been documented previously; non-specific resilience
is enhanced by prior moderate stressors [5– 7]. In other
words, resilience does not occur and cannot be detected out-
side of a stressor or changing context. However, individuals
with a history of high adversity report decreased well-being
and psychological functioning. The act of being resilient is an
adaptive response to stressors that is, ultimately, dependent
on context. The most common reaction and/or response to a
traumatic incident is resilient behaviours: ‘although symptom
levels tend to vary for different potentially traumatic events,
resilience has consistently emerged as the most common
outcome trajectory’ [8, p. 136].
Fully understanding resilience requires systems approa-
ches that facilitate the modelling of dynamic interactions in
multiple domains (e.g. psychological, physical and social)
within a person and between his or her social and physical
environment. There is an increasing interest in systems-based
approaches to understanding resilience between people and
their surrounding environments, such as those in socio-
ecological systems [9,10]. Reductionist approaches used by
some researchers when developing and testing hypotheses
about resilience separate the person from his/her environment
or subjugate the environmental variable when performing
analyses. In these analyses, the environment only becomes
an important variable when ‘it provides a forum in which
resilience-promoting-processes that contribute to individual
growth take place’ [11, p. 4]. As a consequence, outcomes
remain void of cultural, historical and political constructs [12].
The structure of our current academic systems facilitates
highly specialized, narrowly focused disciplines that often do
not promote opportunities to effectively communicate across
fields of study. Specialization generates monumental progress
within our isolated fields of discipline and allows us to use
more precise tools for examining parts of the whole. However,
it also constructs barriers to integrated thinking required for
solving complex scientific puzzles such as resilience. Ongoing
cross-discipline dialogue will be essential for fostering a com-
plete understanding of resilience within the whole person
and his/her environment. Models of resilience that incorporate
mental, emotional, social and physical processes will be maxi-
mally effective in helping understand and enhance resilience
within individuals and societies.
The meeting held addressed the pressing need to induce
dialogue across various disciplines and among academics
studying resilience. The publications in this Theme Issue of
Interface Focus on resilience reflect some of the thinking and
research on resilience from academic experts who attended,
as seen through their particular scientific lens. Several articles
reflect the promise of systems-based modelling approaches
for helping solve issues related to physiological resilience.
We now move to a discussion of these articles, starting
with the articles that describe the value of systems modelling
approaches to understanding resilience in medical and phys-
iological settings. We then continue our discussion noting
the articles that discuss systems thinking surrounding
mind–body interventions for enhancing resilience, and con-
clude with the articles that discuss resilience within military
contexts and other social settings.
Csete & Doyle’s [13] article, ‘The mathematician’s toolbox
for management of type 1 diabetes’, offers a non-technical
summary of the utility of control systems modelling in the
development of the artificial pancreas, noting both its
promise and shortcomings. It also provides the reader with
an opportunity to reflect on the utility of control engineering
tools to better understand and enhance resilience within
medical settings. Aschbacher et al.’s [14] study entitled ‘The
hypothalamic–pituitary adrenal– leptin axis and metabolic
health: a systems approach to resilience, robustness and
control’ further explores the utility of control systems tools
and thinking in its exploration of robustness as a key indicator
of stress system resilience. This study employs relatively
simple, yet novel systems-based mathematical tools to examine
the dynamics of the HPA–leptin feedback sensitivity—these
dynamics predicted metabolic risk in the population studied,
whereas traditional neuroendocrine measures did not. The
study, along with Aschbacher’s previous work, points to the
promise of using dynamic systems modelling approaches in
the field of psychoneuroendocrinology to better understand
mind– brain–body relationships as they relate to resilience.
Vodovotz’s [15] article, ‘Computational modelling of the
inflammatory response in trauma, sepsis, and wound healing:
implications for modelling resilience’, also speaks to the promise
of employing systems modelling approaches to the study of
sepsis, an acute inflammatory response to a noxious agent
that can be life-threatening. This article provides an overview
of the relevance of both data-driven and mechanistic models
for understanding and predicting acute inflammation, and
suggeststhe promise of integrating both approaches for under-
standing inflammation that may be used clinically. Vodovotz
provides a provocative hypothesis that inflammation may be a
key factor in understanding resilience at the whole organism,
under the skin, level, and proposes some methods by which
this hypothesis could be tested.
Irwin’s [16] review on ‘Sleep and inflammation in resilient
aging’ builds on this theme by discussing the complex relation-
ships between sleep, inflammation and resilient aging, noting
that high versus poor sleep quality may act as a resilience-
enhancing or perturbing factor, respectively, within the context
of aging. Irwin reviews the data for sleep’s relationship to resi-
lient aging as well as its relationship to resilience-interfering
factors such as depression, pain, morbidity and mortality in
the elderly. Irwin further suggests that proper sleep may
buffer increases in inflammation that are found for aging
populations, speaking to the promise of behavioural inter-
ventions that improve sleep quality as a method of enhancing
psychobiological resilience in the elderly.
Similarly, in Silverman & Deuster’s [17] review, ‘Biological
mechanisms underlying the role of physical fitness in health
and resilience’, the biological systems that may underlie the
impact of physical fitness on resilience and health are discussed.
The authors suggest that physical fitness may enhance psycho-
physiological resilience through multiple pathways, including
by optimizing neuroendocrine and psychosocial reactivity to
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stressors, as well as by reducing tonic levels of inflammation
and enhancing neuroplasticity and growth factor expression.
Similar to Irwin, the authors call for the need for easily imple-
mentable behavioural strategies such as exercise to enhance
human resilience, as a self-modifiable characteristic.
Understanding resilience includes investigating key bio-
logical factors that may play a role in identifying resilience
within the context of traumatic stress. This is a key to helping
individuals who are required to engage in highly stressful
and life-threatening scenarios such as war fighting, disaster
scene search and rescue, civil disturbance response, fire and
police work. The thoughtful and thorough commentary by
Litz [18] entitled ‘Resilience in the aftermath of war trauma:
a critical review and commentary’ illustrates the complexity
of understanding resilience in the context of war trauma,
and speaks to the need for us to carefully develop effective
assessment, prevention and treatment strategies to enhance
resilience to war trauma within various contexts and across
the deployment cycle.
Yehuda et al.’s [19] article also discusses resilience factors
within the context of traumatic stress. In the article, ‘Gluco-
corticoid related predictors and correlates of post-traumatic
stress disorder treatment response in combat veterans’, the
authors examined the potential relevance of glucocorticoid
variables in predicting responses to psychotherapeutic treat-
ment for post-traumatic stress disorder (PTSD). Interestingly,
the study indicated that both prolonged exposure and a mini-
mal attention control considerably reduced PTSD symptoms
over time. Genotype for the glucocorticoid receptor (BCLI
polymorphism), as well as pre-treatment levels of neuropep-
tide Y, predicted treatment responses, and 24 h urine cortisol
levels as well as glucocorticoid sensitivity appeared to be
sensitive biomarkers of change in response to the interven-
tion. The study indicates the promise of systems-oriented
approaches ( psychoneuroendocrinology) in linking mind
body processes associated with resilience and the potential
value of neuroendocrine biomarkers in predicting risk and
resilience to PTSD. Finally, related to systems models on
social resilience, Pincus’s [20] article, ‘One bad apple: exper-
imental effects of psychological conflict on social resilience’,
demonstrates both the impact of individual-level conflict on
higher-order (group) systems, and the value of dynamic ana-
lyses in assessing potential ‘ripple effects’ related to the social
domain of resilience.
This tapestry of articles reflects the varied approaches and
levels of investigation that are apparent in understanding
human resilience today. We note that this is far from a com-
plete representation of the breadth of the current theory and
investigation that comprises the study of resilience. It does
not at this point reflect the integration of cross-discipline
thinking and collaboration that the future may hold.
However, the integration of these multiple perspectives on
resilience as reflected is the first necessary step towards a
truly whole systems model of resilience. We are confident
that the breadth and overlapping nature of the current articles
will be both informative and interesting to the reader and
help the scientific community better understand the current
terrain of inquiry surrounding the study of resilience.
Funding statement. This Research program is supported by DoD/TATRC
W81XWH1120173, entitled ‘Central Evaluation of Resilience Programs
(CERP)’.
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... Resilience has received greater interest in the stress and trauma fields in understanding the human condition (Jain et al., 2014;Kalischi et al, 2015). Resilience scholars investigate health, rather than disease; therefore, the focus is on approaches to avert illness (Jain et al., 2014;Kalischi et al, 2015). ...
... Resilience has received greater interest in the stress and trauma fields in understanding the human condition (Jain et al., 2014;Kalischi et al, 2015). Resilience scholars investigate health, rather than disease; therefore, the focus is on approaches to avert illness (Jain et al., 2014;Kalischi et al, 2015). Resilient people possess certain beliefs (Shakespeare-Finch & Wickham, 2010) and the ability to take control of situations and make meaning of their situations (Hutchinson & Dorsett, 2012;Lenette et al. 2012;West et al. 2012). ...
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Понятия «старческая астения» и «возрастая жизнеспособность» часто используют взаимосвязанно для описания состояния пожилых людей со сниженной повседневной активностью. Однако старческая астения, развивающаяся при старении организма, является биологическим синдромом снижения резерва к стрессогенным факторам, возникает в результате кумулятивного регресса многих физиологических систем, в то время как термин «возрастная жизнеспособность» — комплексной оценкой способности к преодолению стрессового состояния. В связи с этим, важна разработка системы и шкалы для своевременного выявления групп риска пожилых людей. Сложность решения этой задачи состоит в том, что изучение старческой астении и возрастной жизнеспособности носит межсистемный характер, связанный, в первую очередь, со здоровьем и увеличением продолжительности активной жизни пожилых людей. В обзоре рассматриваются теории, основанные на механизмах физиологического старения, среди них важной является теория снижения способности к адаптации, при которой стрессогенные факторы приводят к заболеваниям. Рассматриваются циклы развития старческой астении, снижения физиологических резервов и, как следствие, изменение реактивности на стресс, что приводит к развитию и прогрессированию заболеваний. В статье представлены данные о гомеостатической дизрегуляции при накоплении кумулятивного дефицита и о связанным с этим состоянием изменением вариабельности сердечного ритма, что позволяет проводить раннюю диагностику стрессоров у пожилых людей. Эти данные будут полезными для разработки и внедрения превентивных мер, направленных на улучшение качества жизни и устойчивости к стрессорным факторам у людей пожилого и старческого возраста. The concepts of fragility and resilience are often used together to describe elderly people with reduced physical activity. While fragility, which develops with the aging of the body, is a biological syndrome of a decrease in the stressors response resulting from cumulative regression in many physiological systems, and age related a comprehensive assessment of the ability resistance to stress. In this regard, it is important to develop systems and scales for the identification groups of risk among the elderly. The complexity of the solution lies in the fact that the study of fragility and physical resilience is interdisciplinary, primarily related to the health and increase in the active life of older people. The review describes theories based on the mechanisms of physiological aging, among them the theory of a decrease in the ability to stress, in which stress-related to diseases. The cycles of the development of fragility and a decrease in physiological reserves are considered, and, as a consequence, a change in reactivity to stress, which leads to the development and progression of diseases. The article presents data on homeostatic dysregulation in the accumulation of cumulative deficiency and related changes in heart rate variability, which allows early diagnosis of stressors in the elderly. These data will be useful for the development and implementation of preventive measures aimed at improving the quality of life and resistance to stress factors in elderly and senile people.
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Blood glucose levels are controlled by well-known physiological feedback loops: high glucose levels promote insulin release from the pancreas, which in turn stimulates cellular glucose uptake. Low blood glucose levels promote pancreatic glucagon release, stimulating glycogen breakdown to glucose in the liver. In healthy people, this control system is remarkably good at maintaining blood glucose in a tight range despite many perturbations to the system imposed by diet and fasting, exercise, medications and other stressors. Type 1 diabetes mellitus (T1DM) results from loss of the insulin-producing cells of the pancreas, the beta cells. These cells serve as both sensor (of glucose levels) and actuator (insulin/glucagon release) in a control physiological feedback loop. Although the idea of rebuilding this feedback loop seems intuitively easy, considerable control mathematics involving multiple types of control schema were necessary to develop an artificial pancreas that still does not function as well as evolved control mechanisms. Here, we highlight some tools from control engineering used to mimic normal glucose control in an artificial pancreas, and the constraints, trade-offs and clinical consequences inherent in various types of control schemes. T1DM can be viewed as a loss of normal physiologic controls, as can many other disease states. For this reason, we introduce basic concepts of control engineering applicable to understanding pathophysiology of disease and development of physiologically based control strategies for treatment.
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The identification of biomarkers for post-traumatic stress disorder (PTSD) and resilience/recovery is critical for advancing knowledge about pathophysiology and treatment in trauma-exposed persons. This study examined a series of glucocorticoid-related biomarkers prior to and in response to psychotherapy. Fifty-two male and female veterans with PTSD were randomized 2 : 1 to receive either prolonged exposure (PE) therapy or a weekly minimal attention (MA) intervention for 12 consecutive weeks. Psychological and biological assessments were obtained prior to and following treatment and after a 12-week naturalistic follow-up. Response was defined dichotomously as no longer meeting criteria for PTSD at post-treatment based on the Clinician Administered PTSD Scale for DSM-IV (CAPS). Clinical improvement on the CAPS was apparent for both PE and MA, with no significant difference according to treatment condition. Biomarkers predictive of treatment gains included the BCLI polymorphism of the glucocorticoid receptor gene. Additional predictors of treatment response were higher bedtime salivary cortisol and 24 h urinary cortisol excretion. Pre-treatment plasma dehydroepiandrosterone/cortisol ratio and neuropetide Y (NPY) levels were predictors of reductions in PTSD symptoms, and, for NPY only, of other secondary outcomes as well, including anxiety and depression ratings. Glucocorticoid sensitivity changed in association with symptom change, reflecting clinical state. It is possible to distinguish prognostic and state biomarkers of PTSD using a longitudinal approach in the context of treatment. Identified markers may also be relevant to understanding mechanisms of action of symptom reduction.
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