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Measuring resilience prospectively as the speed of affect recovery in daily life: a complex systems perspective on mental health.

ABSTRACT: INTRODUCTION:There is growing evidence that mental disorders behave like complex dynamic systems. Complex dynamic systems theory states that a slower recovery from small perturbations indicates a loss of resilience of a system. This study is the first to test whether the speed of recovery of affect states from small daily life perturbations predicts changes in psychopathological symptoms over 1 year in a group of adolescents at increased risk for mental disorders. METHODS:We used data from 157 adolescents from the TWINSSCAN study. Course of psychopathology was operationalized as the 1-year change in the Symptom Checklist-90 sum score. Two groups were defined: one with stable and one with increasing symptom levels. Time-series data on momentary daily affect and daily unpleasant events were collected 10 times a day for 6?days at baseline. We modeled the time-lagged effect of daily unpleasant events on negative and positive affect after each unpleasant event experienced, to examine at which time point the impact of the events is no longer detectable. RESULTS:There was a significant difference between groups in the effect of unpleasant events on negative affect 90?min after the events were reported. Stratified by group, in the Increase group, the effect of unpleasant events on both negative (B?=?0.05, p?

SUBMITTER: Kuranova A

PROVIDER: S-EPMC7027206 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature

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Measuring resilience prospectively as the speed of affect recovery in daily life: a complex systems perspective on mental health.

Kuranova Anna A Booij Sanne H SH Menne-Lothmann Claudia C Decoster Jeroen J van Winkel Ruud R Delespaul Philippe P De Hert Marc M Derom Catherine C Thiery Evert E Rutten Bart P F BPF Jacobs Nele N van Os Jim J Wigman Johanna T W JTW Wichers Marieke M

BMC medicine 20200218 1

<h4>Introduction</h4>There is growing evidence that mental disorders behave like complex dynamic systems. Complex dynamic systems theory states that a slower recovery from small perturbations indicates a loss of resilience of a system. This study is the first to test whether the speed of recovery of affect states from small daily life perturbations predicts changes in psychopathological symptoms over 1 year in a group of adolescents at increased risk for mental disorders.<h4>Methods</h4>We used ...[more]

PMID: 32066437

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Measuring resilience prospectively as the speed of affect recovery in daily life: a complex systems perspective on mental health.

Publications

Measuring resilience prospectively as the speed of affect recovery in daily life: a complex systems perspective on mental health.

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