Sleep Quality in Medical Students; the Impact of Over-Use of Mobile Cell-Phone and Social Networks

J Res Health Sci. 2016 Winter;16(1):46-50.

Abstract

Background: Poor sleep quality is closely associated with lifestyle habits including use of mobile cell-phones.This study aimed to identify the relationship between sleep quality due to abuse in mobile cell-phones and engagement in social networks.

Methods: This cross-sectional study was conducted on 380 undergraduate students selected by proportional stratified sampling in Qom, Iran in 2015. Data were collected by two standard questionnaire including Cell-Phone Over-Use Scale (COS) and Pittsburgh sleep quality questionnaire beside the status of usage in cell-phone social networks. T-test, chi-square, Pearson correlation coefficient and multivariate logistic regression were used in data analysis.

Results: The mean age of participants was 21.8 ±3.2 yr, 69.1% were female, and 11.7% were married. The mean of COS and sleep quality scores were 48.18 ±17.5 and 5.38 ±2.31, respectively. The prevalence of over-use of cell phone was 10.7% (CI 0.95; 8.8%, 12.6%) and the prevalence of poor sleep quality was 61.7% (CI 0.95; 57.1%, 66.3%). The mean of all aspects and total score of sleep quality showed a direct significant association by cell-phone addiction score except sleep duration score that was inversely. Based on multivariate analysis affected to cell-phone addiction, being male gender and studying in general physician level are the most important predictors of poor sleep quality.

Conclusions: Over use of internet and social networks via smart phones is related to poor sleep quality and quantity. Predefined sport programs, educational, cultural, and interesting entertainment are the essential needs for all medical students. These interventions are more important especially for male students who have longer educational.

Keywords: Cell-Phone Over-Use; Internet Addiction; Mobile Addiction; Sleep; Social Networks; Students.

MeSH terms

  • Adult
  • Behavior, Addictive / physiopathology
  • Behavior, Addictive / psychology*
  • Cell Phone / statistics & numerical data*
  • Cross-Sectional Studies
  • Female
  • Habits
  • Humans
  • Iran
  • Male
  • Sleep / physiology
  • Sleep Initiation and Maintenance Disorders / psychology*
  • Social Media / statistics & numerical data*
  • Social Support
  • Students, Medical / psychology*
  • Surveys and Questionnaires
  • Young Adult