Predictors of well-being among college students
S Lee Ridner1, Karen S Newton2, Ruth R Staten1
1a School of Nursing, University of Louisville , Louisville , Kentucky , USA.
Objectives:
Identification of health-related risk behaviors associated with well-being in college students is essential to guide the development of health promotion strategies for this population. The purposes were to evaluate well-being among undergraduate students and to identify health-related risk behaviors that predict well-being in this population.
Methods:
A cross-sectional Web-based survey of undergraduate students was conducted at a metropolitan university in the Southeast United States. A total of 568 students responded (response rate 14.2%). Data were collected on health-related risk behaviors using the National College Health Assessment II.
Results:
Controlling demographic characteristics, the best predictive model included physical activity, current tobacco user, depression, ever received mental health services, and sleep quality, which was the strongest predictor (β = .45, p < .001). This model explained 35% of the variance in well-being.
Conclusions:
Interventions that promote sleep quality among college students may be most beneficial in improving well-being.
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