Gender differences in the associations between age trends of social media interaction and well-being among 10-15 year olds in the UK

BMC Public Health. 2018 Mar 20;18(1):321. doi: 10.1186/s12889-018-5220-4.

Abstract

Background: Adolescents are among the highest consumers of social media while research has shown that their well-being decreases with age. The temporal relationship between social media interaction and well-being is not well established. The aim of this study was to examine whether the changes in social media interaction and two well-being measures are related across ages using parallel growth models.

Methods: Data come from five waves of the youth questionnaire, 10-15 years, of the Understanding Society, the UK Household Longitudinal Study (pooled n = 9859). Social media interaction was assessed through daily frequency of chatting on social websites. Well-being was measured by happiness with six domains of life and the Strengths and Difficulties Questionnaire.

Results: Findings suggest gender differences in the relationship between interacting on social media and well-being. There were significant correlations between interacting on social media and well-being intercepts and between social media interaction and well-being slopes among females. Additionally higher social media interaction at age 10 was associated with declines in well-being thereafter for females, but not for males. Results were similar for both measures of well-being.

Conclusions: High levels of social media interaction in early adolescence have implications for well-being in later adolescence, particularly for females. The lack of an association among males suggests other factors might be associated with their reduction in well-being with age. These findings contribute to the debate on causality and may inform future policy and interventions.

Keywords: Adolescents; Gender; Growth curve modelling; Longitudinal studies; Social media interaction; Well-being.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Child
  • Female
  • Humans
  • Interpersonal Relations*
  • Longitudinal Studies
  • Male
  • Mental Health / statistics & numerical data*
  • Sex Factors
  • Social Media / statistics & numerical data*
  • Surveys and Questionnaires
  • United Kingdom