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Understanding the Association of Self-Efficacy, Mood, and Demographics with Physical Activity in Syrian and Iraqi Refugees: A Cross-Sectional Study in Jordan
- Source :
- The Scientific World Journal, Vol 2023 (2023)
- Publication Year :
- 2023
- Publisher :
- Hindawi Limited, 2023.
-
Abstract
- Objective. This cross-sectional study aimed at investigating the influence of sociodemographic factors on physical activity among Syrian and Iraqi refugees in Jordan. In addition, it sought to determine the predictive ability of self-efficacy and mood in relation to the level of physical activity in this population. Methods. A convenient sample of refugees residing in Jordanian cities was collected. Participants completed a self-administered questionnaire pack consisting of a demographic data sheet, a physical activity level questionnaire, the Brunel Mood Scale, and the General Self-Efficacy Scale. Descriptive analysis was used to analyze demographic details, while the chi-square test examined the association between physical activity and demographic factors. The independent t-test assessed differences in self-efficacy and mood subscales in relation to physical activity. Logistic regression analysis was employed to identify potential predictors of the two categories of physical activity. Results. Most participants reported low levels of physical activity. The frequency of moderate-to-high physical activity was higher in male participants, those with higher education, better health, and higher income. Compared to participants of low physical activity, those in the moderate-to-high physical activity category expressed significantly higher mean score of self-efficacy but lower mean scores of tension, depression, anger, vigor, fatigue, and confusion, indicating better mood. The logistic regression analysis for physical activity indicated that the model was significant for education, income, good health perception, self-efficacy, and one mood subscale (vigor), with these variables collectively accounting for 11–18% of the variance (P value
- Subjects :
- Technology
Medicine
Science
Subjects
Details
- Language :
- English
- ISSN :
- 1537744X
- Volume :
- 2023
- Database :
- Directory of Open Access Journals
- Journal :
- The Scientific World Journal
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.5510c126fd0d4eb691bbae3391e91033
- Document Type :
- article
- Full Text :
- https://doi.org/10.1155/2023/8876254