Predictors of Sleep Quality Among Young Adults in Korea: Gender Differences

Abstract

This study was performed to identify the factors influencing gender differences in sleep quality between men and women. A cross-sectional survey was conducted using a convenience sample of 300 young adults from three Korean universities. Participants were 20–40 years of age, used smartphones, and took no sleep medication. Participants completed questionnaires on sleep quality, exercise, stress, depression, and smart phone addiction. The predictors of sleep quality in men were coffee consumption, napping, depression, failure to engage in light exercise at least three times per week, being overweight, being in the potential smart phone addiction group, and being employed, which explained 30.2% of the variance. The predictors of sleep quality in women were education to college level or higher, smoking, and stress, which explained 30.5% of the variance. To improve sleep quality in this population, future intervention should contain life style modification strategies containing smartphone addiction prevention.

Declaration of Interest: The authors report no conflicts of interest. The authors alone are responsible for the content and writing of the paper.