ArticleEpidemiology and psychiatric sciences2024
Factors associated with chronic depressive symptoms across adolescence and young adulthood: a UK birth cohort study.
Article in Epidemiology and psychiatric sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
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Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Association between parental educational involvement and adolescent depressive symptoms: a systematic review and meta-analysis.BMC psychology · 2024Pooled it
- Investigating the prospective associations of childhood sleep problems with persistent depression in emerging adulthood: the mediating role of inflammation.European child & adolescent psychiatry · 2026Article
- The Relationship between Loneliness and Depression Symptoms in Adolescents: Network Analysis and Cross-lag Panel Model.The Psychiatric quarterly · 2025Article
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Authors and funding
8 authors.
Funding
Abstract
aimsIdentifying children and/or adolescents who are at highest risk for developing chronic depression is of utmost importance, so that we can develop more effective and targeted interventions to attenuate the risk trajectory of depression. To address this, the objective of this study was to identify young people with persistent depressive symptoms across adolescence and young adulthood and examine the prospective associations between factors and persistent depressive symptoms in young people.
methodsWe used data from 6711 participants in the Avon Longitudinal Study of Parents and Children. Depressive symptoms were assessed at 12.5, 13.5, 16, 17.5, 21 and 22 years with the Short Mood and Feelings Questionnaire, and we further examined the influence of multiple biological, psychological and social factors in explaining chronic depressive symptoms.
resultsUsing latent class growth analysis, we identified four trajectories of depressive symptoms: persistent high, persistent low, persistent moderate and increasing high. After applying several logistic regression models, we found that loneliness and feeling less connected at school were the most relevant factors for chronic course of depressive symptoms.
conclusionsOur findings contribute with the identification of those children who are at highest risk for developing chronic depressive symptoms.
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