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Social Threat-Safety Test Uncovers Psychosocial Stress-Related Phenotypes

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

Mignon A Montpetit¹, C S Bergeman, Pascal R Deboeck

¹Department of Psychology, University of Notre Dame, USA. mmontpet@iwu.edu

Psychology and Aging

|September 22, 2010

Summary

This summary is machine-generated.

This study models resilience as a dynamic process, showing that personality and social support buffer stress by reducing negative affect reactivity and speeding recovery in older adults.

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Area of Science:

Psychology
Dynamical Systems Modeling
Gerontology

Background:

Resilience is traditionally viewed as a trait or process.
Existing models may not fully capture real-time stress management dynamics.

Purpose of the Study:

To conceptualize resilience-as-process using dynamical systems modeling.
To analyze real-time stress and negative affect linkages in aging adults.
To identify protective factors influencing resilience.

Main Methods:

Employed coupled damped linear oscillator models.
Fit models to 56-day daily response data from 42 aging adults (mean age 78.8).
Examined personality and social support as potential resilience resources.

Main Results:

Individuals with greater resilience showed less coupling between stress and negative affect (lower stress reactivity).
Resilient individuals recovered affective equilibrium faster after stressors (greater stress recovery).
Higher personality and social support levels predicted decreased stress-related negative affect.

Conclusions:

Dynamical systems modeling offers a novel approach to understanding resilience-as-process.
Personality and social support act as key resources that enhance resilience in older adults.
These resources mitigate the negative impact of stress on emotional well-being.