Social media use and sleep health among adolescents in Canada-Reference-Cited by-同舟云学术

Social media use and sleep health among adolescents in Canada

Published:2024-08 Issue:7/8 Volume:44 Page:338-346
ISSN:2368-738X
Container-title:Health Promotion and Chronic Disease Prevention in Canada
language:en
Short-container-title:Health Promot Chronic Dis Prev Can

Author:

Lafontaine-Poissant Florence¹²,Lang Justin J.³⁴⁵,McKinnon Britt²⁶,Simard Isabelle²,Roberts Karen C.³,Wong Suzy L⁷,Chaput Jean-Philippe⁵⁸,Janssen Ian⁹¹⁰,Boniel-Nissim Meyran¹¹,Gariépy Geneviève¹²³

Affiliation:

1. School of Public Health, University of Montreal, Montréal, Quebec, Canada

2. Quebec Region, Regional Operations, Public Health Agency of Canada, Montréal, Quebec, Canada

3. Centre for Surveillance and Applied Research, Public Health Agency of Canada, Ottawa, Ontario, Canada

4. School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada

5. Healthy Active Living and Obesity Research Group, Children’s Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada

6. Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada

7. Centre for Health Promotion, Public Health Agency of Canada, Ottawa, Ontario, Canada

8. Department of Pediatrics, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada

9. School of Kinesiology and Health Studies, Queen’s University, Kingston, Ontario, Canada

10. Department of Public Health Sciences, Queen’s University, Kingston, Ontario, Canada

11. Department of Educational Counseling, The Max Stern Academic College of Emek Yezreel, Israel

Abstract

Introduction

Public health concerns over the impact of social media use (SMU) on adolescent health are growing. We investigated the relationship between SMU and sleep health in adolescents in Canada aged 11 to 17 years.

Methods

Data from the 2017–2018 Health Behaviour in School-aged Children study were available for 12 557 participants (55.2% female). SMU was categorized by frequency of use (non-active, active and intense) and the presence of addiction-like symptoms (problematic). Mixed effects logistic regression models identified associations between SMU and seven sleep health indicators (insomnia symptoms, daytime wakefulness problems, screen time before bed, meeting sleep duration recommendations, sleep variability and late bedtime on school and non-school days).

Results

Compared to active SMU, non-active SMU was associated with better sleep indicators, except for insomnia symptoms. Intense SMU was associated with greater odds of having poor sleep health indicators (adjusted odds ratio [aORs] from 1.09 to 2.24) and problematic SMU with the highest odds (aORs from 1.67 to 3.24). Associations with problematic SMU were greater among girls than boys, including having a later bedtime on school days (aOR = 3.74 vs. 1.84) and on non-school days (aOR = 4.13 vs. 2.18). Associations between SMU and sleep outcomes did not differ by age group.

Conclusion

Publisher

Health Promotion and Chronic Disease Prevention Branch (HPCDP) Public Health Agency of Canada