» Articles » PMID: 38772732

Smartphone Use and Well-being of Adolescent Girls: a Population-based Study

Overview
Journal Arch Dis Child
Specialty Pediatrics
Date 2024 May 21
PMID 38772732
Authors
Affiliations
Soon will be listed here.
Abstract

Background And Objectives: Recent studies have reported an increasing incidence of anxiety among adolescent girls, and associated this with self-reported social media use. This study aimed to measure smartphone and social media use objectively and to evaluate its associations with measures of mental health and well-being.

Methods: In autumn 2022, we recruited a cohort of 1164 first-year female students from 21 socioeconomically diverse high schools. Students responded to an online survey comprising validated questionnaires (Bergen Social Media Addiction Scale (BSMAS), Generalised Anxiety Disorder-7, and Body Appreciation Scale 2) and visual analogue scales of current health, mood, tiredness, and loneliness. We also requested that they attach screenshots depicting their smartphone use.

Results: Among participants (mean age 16.3 years), 16% (n=183) had possible social media addiction and 37% (n=371) exceeded the cut-off for possible anxiety disorders. The BSMAS scores were associated with higher anxiety (r=0.380) and poorer body image (r=-0.268), poorer health (r=-0.252), lower mood (r=-0.261), greater tiredness (r=0.347), and greater loneliness (r=0.226) (p<0.001 for all). Among the 564 adolescents (48%) who sent screenshots of their smartphone use, average daily use was 5.8 hours (SD 2.2), including 3.9 hours (SD 2.0) of social media. Participants who sent screenshots had a higher grade point average than participants without screenshot data, but similar BSMAS and well-being measures.

Conclusions: Consistent with other studies, we found social media addiction was common among adolescent girls and was associated with poorer mental health and well-being. Measures should be taken to protect adolescents from the potential harmful effects of social media use.

Citing Articles

Mobile phone addiction and negative emotions: an empirical study among adolescents in Jiangxi Province.

Luo J, Cai G, Zu X, Huang Q, Cao Q Front Psychiatry. 2025; 16:1541605.

PMID: 39931699 PMC: 11807983. DOI: 10.3389/fpsyt.2025.1541605.

References
1.
Tylka T, Wood-Barcalow N . The Body Appreciation Scale-2: item refinement and psychometric evaluation. Body Image. 2014; 12:53-67. DOI: 10.1016/j.bodyim.2014.09.006. View

2.
. Global, regional, and national burden of 12 mental disorders in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet Psychiatry. 2022; 9(2):137-150. PMC: 8776563. DOI: 10.1016/S2215-0366(21)00395-3. View

3.
Montag C, Lachmann B, Herrlich M, Zweig K . Addictive Features of Social Media/Messenger Platforms and Freemium Games against the Background of Psychological and Economic Theories. Int J Environ Res Public Health. 2019; 16(14). PMC: 6679162. DOI: 10.3390/ijerph16142612. View

4.
Tanoli Z, Alam Z, Vaha-Koskela M, Ravikumar B, Malyutina A, Jaiswal A . Drug Target Commons 2.0: a community platform for systematic analysis of drug-target interaction profiles. Database (Oxford). 2018; 2018:1-13. PMC: 6146131. DOI: 10.1093/database/bay083. View

5.
Viner R, Gireesh A, Stiglic N, Hudson L, Goddings A, Ward J . Roles of cyberbullying, sleep, and physical activity in mediating the effects of social media use on mental health and wellbeing among young people in England: a secondary analysis of longitudinal data. Lancet Child Adolesc Health. 2019; 3(10):685-696. DOI: 10.1016/S2352-4642(19)30186-5. View