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ABSTRACT: Study objectives
The aim of this study was to identify heterogeneous insomnia symptom trajectories in a population cohort of adolescents during a developmentally sensitive window (ages 13-17), and to examine the influence of individual, social, and environmental predictors on these different trajectories.Methods
Insomnia symptoms were assessed in a population-based sample of 6377 adolescents via online questionnaires administered annually at school from year 8 (age 13-14) to year 11 (age 16-17). Measures assessing individual, social, and environmental predictors were administered in year 8 only. We used latent class growth analysis to identify insomnia symptom trajectories and multinomial logistic regression to examine individual, social, and environmental predictors associ
SUBMITTER: Maston K
PROVIDER: S-EPMC12501422 | biostudies-literature | 2025
REPOSITORIES: biostudies-literature