Resilience-as-process: negative affect, stress, and coupled dynamical systems.

Resilience is often considered both a trait and a process. The current study proposes a new way to conceptualize resilience-as-process based on dynamical systems modeling, which allows researchers to capture the process of stress management in real time. Coupled damped linear oscillator models succinctly describe daily stress and negative affect in terms of developmental forces (e.g., velocity, acceleration). Models were fit to 56-day daily response data from 42 aging adults (M(age) = 78.8 years; SD(age) = 6.6 years) to observe and understand linkages between daily stress and affect. It was speculated that individuals with greater resilience would experience stress as less coupled to changes in negative affect (less stress reactivity), and would recover their affective equilibrium more quickly following a given exogenous stressor (greater stress recovery). To identify resilience resources related to reliable interindividual differences in coupling and damping between stress and negative affect, we examined possible protective factors. Aspects of personality and social support predicted both the strength and nature of this coupling, such that higher levels of these resources resulted in greater protection from the cost to negative affect from stress, as observed in damping of negative affect and decreased coupling between systems.

[1]  Patrick T. Davies,et al.  Developmental Psychopathology and Family Process: Theory, Research, and Clinical Implications , 2000 .

[2]  Robert D. White,et al.  Life-span perspectives on health and illness , 1998 .

[3]  C. Bergeman,et al.  Resiliency in later life. , 1999 .

[4]  Jean Vézina,et al.  A Comparison between Daily Hassles and Major Life Events as Correlates of Well-being in Older Adults , 1992, Canadian Journal on Aging / La Revue canadienne du vieillissement.

[5]  G. Bonanno.  Loss, trauma, and human resilience: have we underestimated the human capacity to thrive after extremely aversive events? , 2008, The American psychologist.

[6]  R. Larzelere,et al.  The intervention selection bias: an underrecognized confound in intervention research. , 2004, Psychological bulletin.

[7]  Cindy S. Bergeman,et al.  An application of classification and regression tree (cart) analyses: Predicting outcomes in later life , 2002 .

[8]  A. Masten,et al.  A Resilience Framework for Research, Policy, and Practice , 2003 .

[9]  R. P. McDonald,et al.  Test Theory: A Unified Treatment , 1999 .

[10]  S. Boker,et al.  Modeling Individual Damped Linear Oscillator Processes with Differential Equations: Using Surrogate Data Analysis to Estimate the Smoothing Parameter , 2008, Multivariate behavioral research.

[11]  C. R. Snyder,et al.  Handbook of positive psychology , 2002 .

[12]  T. Antonucci,et al.  Social Relationships and Aging Well. , 1991 .

[13]  Manuel Barrera,et al.  Distinctions between social support concepts, measures, and models , 1986 .

[14]  Toni L. Bisconti,et al.  The role of daily positive emotions during conjugal bereavement. , 2004, The journals of gerontology. Series B, Psychological sciences and social sciences.

[15]  A. Columbus.  Advances in Psychology Research , 2005 .

[16]  D. Watson,et al.  Development and validation of brief measures of positive and negative affect: the PANAS scales. , 1988, Journal of personality and social psychology.

[17]  K. Rook.  Exposure and reactivity to negative social exchanges: a preliminary investigation using daily diary data. , 2003, The journals of gerontology. Series B, Psychological sciences and social sciences.

[18]  C S Bergeman,et al.  PERSONALITY PROCESSES AND INDIVIDUAL DIFFERENCES Psychological Resilience , Positive Emotions , and Successful Adaptation to Stress in Later Life , 2006 .

[19]  D. Cicchetti,et al.  Moving research on resilience into the 21st century: Theoretical and methodological considerations in examining the biological contributors to resilience , 2003, Development and Psychopathology.

[20]  M. Gatz.  Emerging issues in mental health and aging , 1995 .

[21]  T. Kamarck,et al.  A global measure of perceived stress. , 1983, Journal of health and social behavior.

[22]  M. Hartman,et al.  Effects of Hardiness and Appraisal on the Psychological Distress and Physical Health of Caregivers to Elderly Relatives , 1996 .

[23]  E. Borgatta,et al.  Research on Aging , 1979 .

[24]  R. Thompson,et al.  Emotion and self-regulation. , 1988, Nebraska Symposium on Motivation. Nebraska Symposium on Motivation.

[25]  Steven M. Boker,et al.  Dynamical Systems Modeling in Aging Research. , 2006 .

[26]  N. Garmezy.  Vulnerability research and the issue of primary prevention. , 1971, The American journal of orthopsychiatry.

[27]  N. Garmezy,et al.  Resilience in children's adaptation to negative life events and stressed environments. , 1991, Pediatric annals.

[28]  Steven M Boker,et al.  A Method for Modeling the Intrinsic Dynamics of Intraindividual Variability: Recovering the Parameters of Simulated Oscillators in Multi-Wave Panel Data , 2002, Multivariate behavioral research.

[29]  S. Luthar,et al.  The construct of resilience: a critical evaluation and guidelines for future work. , 2000, Child development.

[30]  Linda M. Collins,et al.  New methods for the analysis of change , 2001 .

[31]  Steven M Boker,et al.  Social support as a predictor of variability: an examination of the adjustment trajectories of recent widows. , 2006, Psychology and aging.

[32]  J. J. Cutuli,et al.  Resilience in Development , 2009 .

[33]  S. Luthar.  Resilience and Vulnerability: Adaptation in the Context of Childhood Adversities , 2003 .

[34]  Linda M. Collins,et al.  Best Methods for the Analysis of Change: Recent Advances, Unanswered Questions, Future Directions , 1991 .

[35]  Scott E. Maxwell,et al.  Designing Experiments and Analyzing Data: A Model Comparison Perspective , 1990 .

[36]  Social support and psychopathology: interrelations with preexisting disorder, stress, and personality. , 1986, Journal of abnormal psychology.

[37]  S. Folkman,et al.  Stress, appraisal, and coping , 1974 .

[38]  P. Duncan-Jones,et al.  Measuring social relationships The Interview Schedule for Social Interaction , 1980, Psychological Medicine.

[39]  L. Carstensen,et al.  Emotional experience in everyday life across the adult life span. , 2000, Journal of personality and social psychology.

[40]  Jean-Philippe Laurenceau,et al.  Dynamical Systems Modeling: An Application to the Regulation of Intimacy and Disclosure in Marriage. , 2006 .

[41]  R. Davidson.  Affective style, psychopathology, and resilience: brain mechanisms and plasticity. , 2000, The American psychologist.

[42]  Paul B. Baltes,et al.  Theoretical propositions of life-span developmental psychology : On the dynamics between growth and decline , 1987 .

[43]  M. Rosenbaum,et al.  Learned resourcefulness: On coping skills, self-control, and adaptive behavior. , 1990 .

[44]  John R. Nesselroade,et al.  Interindividual differences in intraindividual change. , 1991 .

[45]  John R. Nesselroade,et al.  Putting the process in developmental processes , 2000 .

[46]  Howard Tennen,et al.  Dynamic approaches to emotions and stress in everyday life: Bolger and Zuckerman reloaded with positive as well as negative affects. , 2005, Journal of personality.

[47]  A. Ong,et al.  The complexity of emotions in later life. , 2004, The journals of gerontology. Series B, Psychological sciences and social sciences.

[48]  R. Ursano,et al.  The Impact of a Military Air Disaster on The Health of Assistance Workers: A Prospective Study , 1989, The Journal of nervous and mental disease.

[49]  K. Rook,et al.  The negative side of social interaction: impact on psychological well-being. , 1984, Journal of personality and social psychology.

[50]  E. Werner,et al.  High-risk children in young adulthood: a longitudinal study from birth to 32 years. , 1989, The American journal of orthopsychiatry.