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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Mar 28, 2023
Date Accepted: Mar 29, 2023

The final, peer-reviewed published version of this preprint can be found here:

Correction: The Longitudinal Impact of Social Media Use on UK Adolescents' Mental Health: Longitudinal Observational Study

Plackett R, Sheringham J, Dykxhoorn J

Correction: The Longitudinal Impact of Social Media Use on UK Adolescents' Mental Health: Longitudinal Observational Study

J Med Internet Res 2023;25:e47678

DOI: 10.2196/47678

PMID: 37001114

PMCID: 10139683

Correction: The Longitudinal Impact of Social Media Use on UK Adolescents' Mental Health: Longitudinal Observational Study

  • Ruth Plackett; 
  • Jessica Sheringham; 
  • Jennifer Dykxhoorn

ABSTRACT

Background:

Cross-sectional studies have found a relationship between social media use and depression and anxiety in young people. However, few longitudinal studies using representative data and mediation analysis have been conducted to understand the causal pathways of this relationship.

Objective:

This study aims to examine the longitudinal relationship between social media use and young people’s mental health and the role of self-esteem and social connectedness as potential mediators.

Methods:

The sample included 3228 participants who were 10- to 15-year-olds from Understanding Society (2009-2019), a UK longitudinal household survey. The number of hours spent on social media was measured on a 5-point scale from “none” to “7 or more hours” at the ages of 12-13 years. Self-esteem and social connectedness (number of friends and happiness with friendships) were measured at the ages of 13-14 years. Mental health problems measured by the Strengths and Difficulties Questionnaire were assessed at the ages of 14-15 years. Covariates included demographic and household variables. Unadjusted and adjusted multilevel linear regression models were used to estimate the association between social media use and mental health. We used path analysis with structural equation modeling to investigate the mediation pathways.

Results:

In adjusted analysis, there was a non-significant linear trend showing more time spent on social media was related to poorer mental health two-years later (n= 2603, b=.21, 95% CI, -0.43 to 0.84, P=.52). In unadjusted path analysis, 68% of the effect of social media use on mental health was mediated by self-esteem (indirect effect, n=2569, b=.70, 95% CI 0.15-1.30, P=.02) but not social connectedness. In adjusted path analysis, self-esteem was not a significant mediator (indirect effect, n=2316, b=.24 95% CI -0.12 to 0.66, P=.22). Similar results were found in imputed data.

Conclusions:

There was little evidence to suggest that more time spent on social media was associated with later mental health problems in UK adolescents. This study shows the importance of longitudinal studies to examine this relationship and suggests that prevention strategies and interventions to improve mental health associated with social media use could consider the role of factors like self-esteem.


 Citation

Please cite as:

Plackett R, Sheringham J, Dykxhoorn J

Correction: The Longitudinal Impact of Social Media Use on UK Adolescents' Mental Health: Longitudinal Observational Study

J Med Internet Res 2023;25:e47678

DOI: 10.2196/47678

PMID: 37001114

PMCID: 10139683

Per the author's request the PDF is not available.

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