University of Leicester
Browse

Networking Trait Resilience: Unifying Fragmented Trait Resilience Systems from an Ecological Systems Theory Perspective.

Download (1.66 MB)
Version 2 2024-10-09, 10:55
Version 1 2024-02-20, 17:00
journal contribution
posted on 2024-10-09, 10:55 authored by John MaltbyJohn Maltby

Objective

This study reconceptualized trait resilience, defining it as a network of systems; utilizing direct resilience assessments—engineering, ecological, adaptive capacity, social cohesion—and proxy resilience assessments—personality, cognitive, emotional, eudaimonia, and health.


Background

The background of the study addresses the fragmented conceptualization of trait resilience by proposing a unifying network model based on ecological systems theory, illustrating the dynamic interplay of resilience factors across varying levels of disturbance.


Method

In Study One, four USA or UK samples (total n = 2396) were used to depict the trait resilience network. Study Two (n = 1091) examined the relationship between the network and disturbance at two time-points, using mental health levels as a disturbance metric.


Results

Study One found that adaptive capacity, and sometimes positive emotional processes, were central variables to the network. Study Two found that in lower disturbance groups, adaptive capacity remained important, while in higher disturbance groups, a broader set of variables became central to the network.


Conclusions

Study One suggests a Broaden-and-Build approach, where adaptive capacity is a foundational resilience capability, reciprocally associated with positive emotional mechanisms. Study Two suggests a new “Dynamic Resilience Spectrum Theory,” proposing that increased disturbances necessitate the use of a more diverse set of resilience traits.

History

Author affiliation

College of Life Sciences/Psychology & Vision Sciences

Version

  • VoR (Version of Record)

Published in

Journal of Personality

Publisher

Wiley

eissn

1467-6494

Copyright date

2024

Available date

2024-10-09

Language

en

Deposited by

Professor John Maltby

Deposit date

2024-02-12

Usage metrics

    University of Leicester Publications

    Categories

    No categories selected

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC