The Buffering Effect of Resilience on Depression Among Individuals With Spinal Cord Injury: A Structural Equation Model

Denise Catalano, Fong Chan, Lisa Wilson, Chung Yi Chiu, Veronica R. Muller

Research output: Contribution to journalArticle

100 Citations (Scopus)

Abstract

To translate the theoretical constructs from a model of resilience into a structural equation model and evaluate relationships among the model's theoretical constructs associated with resilience and the occurrence of depressive symptoms. Design: Quantitative descriptive research design using structural equation modeling (SEM). Participants: Two-hundred and fifty-five individuals with SCI recruited from the Canadian Paraplegic Association (CPA). Outcome Measures: Outcome was measured by the Center for Epidemiologic Studies-Depression Scale. Results: The resilience model fit the data relatively well: χ 2 (200, N = 255) = 451.57, p < .001; χ 2/df = 2.26; CFI = .92, RMSEA = 0.070 (90% CI: 0.062-0.079), explaining 77% of the variance in depressive symptomatology. Severity of SCI-related stressors significantly influenced perceived stress (β = .60) and perceived stress, in turn, affected depressive symptoms (β = .66), characteristics of resilience (β = -43), and social support (β = -26). The resilience characteristics had an inverse relationship with depressive symptoms (β = -29). No direct relationship was found between severity of SCI-related stressors and depressive symptoms. Conclusions: Findings provide support for the resilience model and suggests characteristics of resilience " buffer" the perceptions of stress on depressive symptoms. The resilience model may be useful to guide clinical interventions designed to improve the mental health of individuals with SCI.

Original languageEnglish
Pages (from-to)200-211
Number of pages12
JournalRehabilitation Psychology
Volume56
Issue number3
DOIs
Publication statusPublished - 2011 Aug 1

All Science Journal Classification (ASJC) codes

  • Physical Therapy, Sports Therapy and Rehabilitation
  • Rehabilitation
  • Clinical Psychology
  • Psychiatry and Mental health

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