J Affect Disord. 2024 Apr 30:S0165-0327(24)00707-9. doi: 10.1016/j.jad.2024.04.096. Online ahead of print.
ABSTRACT
BACKGROUND: Adolescent mental health problems impose a significant burden. Exploring evolving social environments could enhance comprehension of their impact on mental health. We aimed to depict the trajectories of the neighborhood social exposome from middle to late adolescence and assess the intricate relationship between them and late adolescent mental health.
METHODS: Participants (n = 3965) from the FinnTwin12 cohort with completed questionnaires at age 17were used. Nine mental health measures were assessed. The social exposome comprised 28 neighborhood social indicators. Trajectories of these indicators from ages 12 to 17 were summarized via latent growth curve modeling into growth factors, including baseline intercept. Mixture effects of all growth factors were assessed through quantile-based g-computation. Repeated generalized linear regression identified significant growth factors. Sex stratification was performed.
RESULTS: The linear-quadratic model was the most optimal trajectory model. No mixture effect was detected. Regression models showed some growth factors saliently linked to the p-factor, internalizing problems, anxiety, hyperactivity, and aggression. The majority of them were baseline intercepts. Quadratic growth factors about mother tongues correlated with anxiety among sex-combined participants and males. The linear growth factor in the proportion of households of couples without children was associated with internalizing problems in females.
LIMITATIONS: We were limited to including only neighborhood-level social exposures, and the multilevel contextual exposome situation interfered with our assessment.
CONCLUSIONS: Trajectories of the social neighborhood exposome modestly influenced late adolescent mental health. Tackling root causes of social inequalities through targeted programs for living conditions could improve adolescent mental health.
PMID:38697223 | DOI:10.1016/j.jad.2024.04.096
