Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/7343
Title: How is resilience associated with anxiety and depression? Analysis of factor score interactions within a homogeneous sample
Contributor(s): Bitsika, Vicki  (author); Sharpley, Chris  (author)orcid ; Peters, Kylie (author)
Publication Date: 2010
Handle Link: https://hdl.handle.net/1959.11/7343
Abstract: Aim: To explore the ways in which resilience is associated with anxiety and depression within a homogenous sample. Methods: 401 Australian university students completed the Connor-Davidson Resilience Scale and the Zung Self-rating Anxiety and Depression Scales. Factor scores from the resilience scale were regressed against total anxiety and depression scores, combined anxiety-depression scores and the underlying factors of the combined anxiety-depression construct. Results: Self-confidence and optimism were most strongly negatively associated with anxiety and depression, followed by being decisive and solution-focussed and seeking challenges, having a strong purpose and being persistent, although different combinations of factors predicted anxiety than did depression. Spiritual beliefs did not appear to buffer against anxiety or depression in this sample. Conclusion: Enhancement of resilience, self-confidence and optimism appear to be major potential targets for therapy intervention with this age and occupation group.
Publication Type: Journal Article
Source of Publication: German Journal of Psychiatry, 13(1), p. 9-16
Publisher: Georg-August-Universitaet Goettingen [University of Goettingen]
Place of Publication: Germany
ISSN: 1433-1055
Fields of Research (FoR) 2008: 110319 Psychiatry (incl Psychotherapy)
Socio-Economic Objective (SEO) 2008: 920111 Nervous System and Disorders
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Publisher/associated links: http://www.gjpsy.uni-goettingen.de/gjp-article-bitsika.pdf
Appears in Collections:Journal Article
School of Science and Technology

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