Evidence map›Paper›PMID 29554883›Full record

ArticleBMC public health2018

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

Cara L Booker, Yvonne J Kelly, Amanda Sacker

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
84citing papers in PubMed, 3 pooled it
60.0field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

84 citing papers in PubMed, 3 syntheses or guidelines pooled it, 269 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. "International journal of qualitative studies on health and well-being · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Repetitive negative thinking in adolescence: a mixed methods study.Child and adolescent psychiatry and mental health · 2025
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

24 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Cara L BookerInstitute for Social and Economic Research, University of Essex, Wivenhoe Park, Colchester, CO4 3SQ, UK. cbooker@essex.ac.uk.ORCID 0000-0001-9189-8562
Yvonne J KellyESRC International Centre for Lifecourse Studies in Society and Health, Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London, WC1E 6BT, UK.
Amanda SackerESRC International Centre for Lifecourse Studies in Society and Health, Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London, WC1E 6BT, UK.
Centre for Life · GBUniversity of Essex · GB

Funding

Economic and Social Research Council ES/J019119/1Economic and Social Research Council RES-518-28-001Economic and Social Research Council RES-586-47-0001Economic and Social Research Council RES-586-47-0002
6 · The paper itself

Abstract

backgroundAdolescents 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.

methodsData 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.

resultsFindings 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.

conclusionsHigh 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.

Indexed as

Interpersonal RelationsAdolescentChildFemaleHumansLongitudinal StudiesMaleMental HealthSex FactorsSocial MediaSurveys and QuestionnairesUnited KingdomAdolescentsGenderGrowth curve modellingLongitudinal studiesSocial media interactionWell-being

Identifiers

PMID29554883
PMCPMC5859512
OpenAlexW2795762168

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.