ERIC Number: EJ1178521
Record Type: Journal
Publication Date: 2017
Pages: 9
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0744-8481
EISSN: N/A
Predictors of Well-Being in the Lives of Student Service Members and Veterans
Williston, Sarah Krill; Roemer, Lizabeth
Journal of American College Health, v65 n6 p404-412 2017
Objective: The current study examined predictors of well-being, including quality of life and academic engagement, in a sample of student service members and veteran college students. Methods: Eighty-seven student service members/veterans (SSM/V) completed an online survey containing questions about post-deployment social support, emotion regulation skills, psychological distress, academic engagement, quality of life, and demographics. Participants were recruited from September 2012 through May 2014. Results: Results provided partial support for the proposed bi-directional mediational relations between post-deployment social support and emotion regulation predicting to quality of life and academic engagement. Path models indicated that both post-deployment social support and emotion regulation skills partially mediated the relation with quality of life while accounting for the effect of psychological distress, and that emotion regulation skills fully mediated the relation between social support and academic engagement. Conclusions: These findings suggest that both social support and emotion regulation skills may be useful targets for health promotion and intervention efforts for this population. Limitations and clinical implications for the development of on-campus SSM/V focused health promotion services are discussed.
Descriptors: Predictor Variables, Military Personnel, Veterans, College Students, Student Surveys, Online Surveys, Quality of Life, Academic Achievement, Learner Engagement, Social Support Groups, Self Control, Psychological Patterns, Stress Variables, Demography, Health Promotion, Intervention, Emotional Response, Correlation, Path Analysis, Rating Scales, Statistical Analysis, Goodness of Fit, Maximum Likelihood Statistics
Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A