Frontiers in Psychiatry (May 2020)

Smartphone Use and Sleep Quality in Chinese College Students: A Preliminary Study

  • Qiuping Huang,
  • Qiuping Huang,
  • Qiuping Huang,
  • Ying Li,
  • Shucai Huang,
  • Jing Qi,
  • Tianli Shao,
  • Tianli Shao,
  • Xinxin Chen,
  • Xinxin Chen,
  • Zhenjiang Liao,
  • Zhenjiang Liao,
  • Shuhong Lin,
  • Shuhong Lin,
  • Xiaojie Zhang,
  • Xiaojie Zhang,
  • Yi Cai,
  • Hongxian Chen,
  • Hongxian Chen

DOI
https://doi.org/10.3389/fpsyt.2020.00352
Journal volume & issue
Vol. 11

Abstract

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BackgroundChinese college students are at high risk of sleep problems, and smartphone use is common among this population. However, the relationship between smartphone use characteristics and sleep problems in Chinese college students has been inadequately studied. In this preliminary study, we examined the association of poor sleep quality with smartphone use in a sample of Chinese college students from a health vocational college in Changsha, China.MethodsA total of 439 college students completed a self-report questionnaire containing the Pittsburgh Sleep Quality Index (PSQI) and questions regarding demographic information, psychosocial factors, physical health, smartphone use characteristics, and mobile phone addiction (MPA).ResultsThe results showed that the prevalence of poor sleep quality (PSQI > 7) in Chinese college students was 9.8%. In multiple logistic regression analysis, poor sleep quality was significantly associated with male gender (OR: 2.80, P: 0.022), not having good physical health (OR: 2.61, P: 0.020), headache (OR: 2.47, P: 0.014), more severe depressive symptoms (OR: 2.17, P: 0.049), > four years of smartphone use (OR: 3.38, P: 0.001), > five hours of daily smartphone use (OR: 2.19, P: 0.049), and more severe inability to control MPA craving (OR: 2.04, P: 0.040).ConclusionOur findings suggest that excessive smartphone use and MPA are associated with poor sleep quality in a sample of Chinese college students from a health vocational college. Because of the limited sample representativeness and cross-sectional design of this study, large-scale prospective representative studies are warranted to confirm these associations.

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