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Interventions to reduce loneliness in children and adolescents (4–18 years): A systematic review and meta-analysis with narrative synthesis of study-level characteristics

  • The University of Manchester
  • DEFACTUM
  • Queen Mary University of London

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

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Abstract

Loneliness in youth is linked to poor mental and physical health, yet the effectiveness of interventions remains unclear. Given its distinct developmental presentation, this meta-analysis synthesises interventions targeting loneliness in individuals aged 4–18 to inform age-appropriate strategies. It examines the effects of interventions on loneliness and includes a narrative synthesis of intervention and sample characteristics. We conducted a systematic literature review and meta-analysis of quantitative studies up to March 2024, focusing on interventions where loneliness was the primary target in school-aged youth. Nineteen studies were included in the SLR, of which 18 were included in the meta-analysis (6 RCTs, 6 multi-cohort, and 6 single-cohort studies). RCTs showed a small, non-significant reduction in loneliness (Hedges' g = −0.20, 95% CI [−0.42, 0.02], p = .07), with social and emotional skills training interventions being most effective. Multi-cohort studies showed a negligible effect (Hedges' g = −0.01, 95% CI [−0.08, 0.07], p = .84). Single-cohort studies indicated a moderate, non-significant effect (Hedges' g = −0.55, 95% CI [−1.29, 0.18], p = .14). Interventions targeting loneliness show promise in reducing loneliness, particularly when they incorporate social and emotional learning. Future research should integrate qualitative approaches and consider loneliness within broader mental health and well-being frameworks to support the development of more comprehensive, youth-centred interventions.

OriginalsprogEngelsk
Artikelnummer121445
TidsskriftJournal of Affective Disorders
Vol/bind403
Antal sider14
ISSN0165-0327
DOI
StatusUdgivet - 15. jun. 2026

Bibliografisk note

Publisher Copyright:
© 2026 The Authors.

Finansiering

We would like to extend our thanks to João Santos from the University of Manchester for his valuable assistance with the R codes, and to Yixuan Zheng for her helpful support and advice.

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