Back

Does later chronotype cause poorer adolescent mental health? An Adolescent Brain Cognitive Development (ABCD) Study

Visontay, R.; Byrne, H. R.; Devine, E. K.; Shin, M.; Tonini, E.; Hindmarsh, G.; Carpenter, J. S.; Brumback, T.; Squeglia, L. M.; Mewton, L.; Hickie, I. B.; Crouse, J. J.

2025-10-13 psychiatry and clinical psychology
10.1101/2025.10.08.25337391 medRxiv
Show abstract

ObjectiveThis study investigated whether chronotype (biobehavioral preference for sleep and wake timing) across early adolescence impacts mental health symptoms at age 13-14. This is a relationship with growing correlational evidence but limited causal exploration. MethodsParticipants were 7,489 adolescents (aged 9-10 at baseline; 13-14 at the fifth assessment wave) from the Adolescent Brain Cognitive Development Study (ABCD). Marginal structural models with machine learning-based weight estimation were used to assess the causal impact of chronotype at ages 11-12 and 12-13, as measured by the youth-reported Munich Chronotype Questionnaire, on several dimensions of mental health symptoms at age 13-14 (parent-reported Child Behavioral Checklist internalizing and externalizing values; child-reported Prodromal Psychosis Scale). ResultsThere was no effect of chronotype at age 11-12 on any outcome. However, later chronotype at age 12-13 was associated with more severe externalizing symptoms (b=.31, p=.02) and prodromal psychosis symptoms at age 13-14 (b=.06, p<.01), but not with more severe internalizing symptoms. Post-hoc analyses indicated the lack of relationship with internalizing held for both anxiety and depression symptoms and in both sexes. ConclusionsThere are likely causal effects of adolescent chronotype on mental health symptoms, but these are dependent on the dimension of mental health and period of adolescence. The typically-reported association between later chronotype and more severe internalizing symptoms may not manifest until later adolescence (such as with the common post-pubertal shift in chronotype).

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.