Predictors of well-being among college students

J Am Coll Health. 2016;64(2):116-24. doi: 10.1080/07448481.2015.1085057.

Abstract

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.

Keywords: College students; physical activity; sleep; tobacco use; well-being.

MeSH terms

  • Cross-Sectional Studies
  • Female
  • Health Behavior / physiology*
  • Health Promotion
  • Health Status*
  • Humans
  • Life Style
  • Male
  • Mental Health
  • Physical Fitness
  • Predictive Value of Tests
  • Quality of Life*
  • Risk-Taking*
  • Sex Factors
  • Southeastern United States
  • Students / psychology*
  • Universities
  • Young Adult