An updated of meta-analysis on the relationship between mobile phone addiction and sleep disorder

J Affect Disord. 2022 May 15:305:94-101. doi: 10.1016/j.jad.2022.02.008. Epub 2022 Feb 9.

Abstract

Background: To conduct a meta-analysis to quantitatively assess the association between mobile phone addiction (MPA) and sleep disorder (SD) by reviewing current evidence from observational studies.

Methods: The meta-analysis was conducted by searching Pubmed, Embase, Scopus, and Web of science using a retrieval strategy related to MPA and SD. Pooled Odds ratios and Pearson's correlation coefficients were calculated by R software using a random effects model.

Results: 29 studies including a total of 20041 participants were identified. We found that MPA was significantly associated with an increased risk of adolescents having SD (OR = 2.25, 95%CI= 1.72-2.94). Additionally, the findings also demonstrated that weak-to-moderate positive correlations were found between MPA and SD (summary r = 0.30, 95%CI= 0.25-0.34). The meta-regression analysis and subgroup analysis suggested that the geographic location and the measurement of MPA might be the sources of heterogeneity, and the robustness of the findings was confirmed by sensitivity analysis.

Limitations: The information collected was self-reported, and the recall bias was inevitable.

Conclusions: This study updated the findings of the association between MPA and SD from the previous reviews and was also the first meta-analysis to assess the association between MPA and SD using Odds Radios and correlation coefficients concurrently. The result of this study re-emphasized that paying more attention to the public health concerns of MPA and SD is needed in the future, whether implementation more relevant researches or developing targeted policies.

Keywords: Meta-analysis; Mobile phone addiction; Problematic use of the mobile phone; Sleep; Sleep disorder.

Publication types

  • Meta-Analysis
  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Adolescent
  • Cell Phone*
  • Humans
  • Odds Ratio
  • Sleep Wake Disorders* / epidemiology
  • Technology Addiction