This study explored the potential for physical activity to be an effective, healthy coping strategy alternative to self-harm behaviors. Regression analyses were performed to assess how physical activity level related to risk factors (i.e., emotional dysregulation, self-esteem, and depression) and self-harm behaviors. The relationship between selfharm and exercise motivations was also examined. Participants were recruited from two high schools (n = 95) and one university (n = 72) in the southeastern region of the United States. Analyses were run using the following measures from a survey packet: adapted Exercise Questionnaire (Helmerhorst, Brage, Warren, Besson, & Ekelund, 2012), Exercise Motivations Inventory—Second Edition (Markland & Ingledew, 1997), Inventory of Statements About Self-Injury (Klonsky & Olino, 2008), Reynolds Adolescent Depression Scale – 2nd Edition (Reynolds, 2002), Eating Disorders Inventory – 3 (Garner, 2004), and Center for Epidemiologic Studies Depression Scale (Miller, Anton, & Townson, 2008). Of the 167 who participated, 41.3% endorsed at least one instance of nonsuicidal self-injury (NSSI). Results indicated that NSSI frequency was significantly negatively associated with physical activity (β = -.22, p < 0.01). An interaction was found between physical activity and depression, such that physical activity moderated the relationship between depression and self-harm. The overall model explained 28.2% of the variance, F(3,145) = 10.02, p < .01. Affiliation and appearancebased exercise motivations significantly associated with decreased (β = -.244, p = .047) and increased (β = .320, p = .001) frequencies of self-harm, respectively. Overall, the findings suggest that physical activity may possess a protective nature against self-harm behaviors, especially in individuals with depressive symptoms.
| Identifer | oai:union.ndltd.org:WKU/oai:digitalcommons.wku.edu:theses-2448 |
| Date | 01 May 2015 |
| Creators | Boone, Shannon Danielle |
| Publisher | TopSCHOLAR® |
| Source Sets | Western Kentucky University Theses |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | Masters Theses & Specialist Projects |
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