Networking trait resilience: Unifying fragmented trait resilience systems from an ecological systems theory perspective.

Abstract

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.