Resilience and depressive symptoms in inpatients with depression: A cross-lagged panel model.
Brief Resilience Scale
Patient Health Questionnaire
depression
inpatient treatment
resilience
Journal
Clinical psychology & psychotherapy
ISSN: 1099-0879
Titre abrégé: Clin Psychol Psychother
Pays: England
ID NLM: 9416196
Informations de publication
Date de publication:
27 Oct 2023
27 Oct 2023
Historique:
revised:
10
10
2023
received:
25
07
2023
accepted:
11
10
2023
medline:
27
10
2023
pubmed:
27
10
2023
entrez:
27
10
2023
Statut:
aheadofprint
Résumé
Resilience-the ability to bounce back or quickly recover from stress-has been found to predict treatment outcome in patients with mental disorders such as depression. The current study aimed to test whether resilience itself changes during treatment and whether resilience exclusively predicts changes in depressive symptoms or whether depressive symptoms also predict changes in resilience. Inpatients with depression (N = 2165; average length of stay M = 60 days, SD = 32) completed the Brief Resilience Scale and the Patient Health Questionnaire Depression Scale at admission and discharge, scores of which were used to run a cross-lagged panel model. Resilience increased and depressive symptoms decreased from admission to discharge. Cross-sectionally, higher resilience was related to lower depressive symptoms at admission and at discharge. Prospectively, higher resilience at admission predicted stronger decreases in depressive symptoms, and higher depressive symptoms at admission predicted smaller increases in resilience. Self-report questionnaires may potentially be biased (e.g., through recall bias, social desirability, or demand effects). The current study further supports that resilience is related not only to fewer mental health problems cross-sectionally but also is sensitive to change and a predictor of treatment outcome in patients with mental disorders. Given this pivotal role in mental health, the current findings highlight the importance of prevention and intervention approaches for promoting resilience in the general population and in persons with mental disorders in particular.
Sections du résumé
BACKGROUND
BACKGROUND
Resilience-the ability to bounce back or quickly recover from stress-has been found to predict treatment outcome in patients with mental disorders such as depression. The current study aimed to test whether resilience itself changes during treatment and whether resilience exclusively predicts changes in depressive symptoms or whether depressive symptoms also predict changes in resilience.
METHODS
METHODS
Inpatients with depression (N = 2165; average length of stay M = 60 days, SD = 32) completed the Brief Resilience Scale and the Patient Health Questionnaire Depression Scale at admission and discharge, scores of which were used to run a cross-lagged panel model.
RESULTS
RESULTS
Resilience increased and depressive symptoms decreased from admission to discharge. Cross-sectionally, higher resilience was related to lower depressive symptoms at admission and at discharge. Prospectively, higher resilience at admission predicted stronger decreases in depressive symptoms, and higher depressive symptoms at admission predicted smaller increases in resilience.
LIMITATIONS
CONCLUSIONS
Self-report questionnaires may potentially be biased (e.g., through recall bias, social desirability, or demand effects).
CONCLUSIONS
CONCLUSIONS
The current study further supports that resilience is related not only to fewer mental health problems cross-sectionally but also is sensitive to change and a predictor of treatment outcome in patients with mental disorders. Given this pivotal role in mental health, the current findings highlight the importance of prevention and intervention approaches for promoting resilience in the general population and in persons with mental disorders in particular.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
© 2023 The Authors. Clinical Psychology & Psychotherapy published by John Wiley & Sons Ltd.
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