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) ; 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 |
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Appears in Collections: | Journal Article School of Science and Technology |
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