Factors associated with chronic depressive symptoms across adolescence and young adulthood: a UK birth cohort study

• Published in: Epidemiology and psychiatric sciences 2024-06, Vol.33, p.e32, Article e32
• Main Authors: Durdurak, B. B., Williams, B., Zhigalov, A., Moore, A., Mallikarjun, P., Wong, D., Marwaha, S., Morales-Muñoz, I.
• Format: Article
• Language: English
• Subjects: Adolescence; Adolescent; Adult; Age; ALSPAC; Child; Child development; Chronic Disease - psychology; Cohort analysis; Cohort Studies; Depression - epidemiology; Depression - psychology; depressive symptoms; factors; Female; Humans; Intervention; Loneliness; Loneliness - psychology; Longitudinal Studies; Male; Mental depression; Mental health; Original Article; Parents & parenting; Prospective Studies; Psychopathology; Questionnaires; Risk Factors; Surveys and Questionnaires; trajectories; United Kingdom - epidemiology; Young Adult; Young adults; young people
• ISSN: 2045-7960; 2045-7979; 2045-7979
• DOI: 10.1017/S2045796024000350

Identifying 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. We 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. Using 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. Our findings contribute with the identification of those children who are at highest risk for developing chronic depressive symptoms.