4.6 Article

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

Journal

BMC PUBLIC HEALTH
Volume 18, Issue -, Pages -

Publisher

BMC
DOI: 10.1186/s12889-018-5220-4

Keywords

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

Funding

  1. UK Economic and Social Research Council (ESRC): Understanding Society: The UK Longitudinal Household Study [RES-586-47-0001]
  2. UK Economic and Social Research Council (ESRC): Understanding Society, the UK Longitudinal Studies Centre [RES-586-47-0002]
  3. Research Centre on Micro-Social Change (MiSoC) [RES-518-28-001]
  4. ESRC International Centre for Lifecourse Studies in Society and Health [ES/J019119/1]
  5. ESRC [RES-586-47-0001, RES-586-47-0002]
  6. ESRC [ES/L009153/1, ES/H029745/1, ES/R008930/1, ES/J019119/1, ES/K005146/1, ES/H00811X/1] Funding Source: UKRI
  7. Economic and Social Research Council [ES/H029745/1, ES/R008930/1, ES/H00811X/1, ES/K005146/1, ES/J019119/1, ES/L009153/1] Funding Source: researchfish

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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 wellbeing. 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.

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