The Social Determinants of Emotional and Behavioral Problems in Adolescents Experiencing Early Puberty.

PURPOSE: Earlier pubertal timing is an important predictor of emotional and behavioral problems during adolescence. The current study undertook a comprehensive investigation of whether the social environment can buffer or amplify the associations between pubertal timing and emotional and behavioral problems. METHODS: Research questions were examined in the Adolescent Brain Cognitive Development (ABCD) Study, a large population representative sample in the United States. We examined interactions between pubertal timing and the shared effects of a range of proximal and distal social environmental influences (i.e., parents, peers, schools, neighborhoods, socioeconomic status) in 10- to 13-year-olds. RESULTS: Results revealed significant interaction between timing and proximal social influences (i.e., the "microsystem") in predicting emotional and behavioral problems. In general, adolescents with earlier pubertal timing and unfavorable (high levels of negative and low levels of positive) influences in the microsystem exhibited greater problems. Both males and females exhibited such associations for rule-breaking problems, while females alone exhibited associations for depressive problems. Results also illustrate the relative strength of each social context at moderating risk for emotional and behavioral problems in earlier versus later pubertal maturers. DISCUSSION: These findings highlight the importance of proximal social influences in buffering vulnerability for emotional and behavioral problems related to earlier puberty. Findings also illustrate the broad implications of latent environmental factors, reflecting common variance of multiple social influences that typically covary with one another.

"Puberty age gap": new method of assessing pubertal timing and its association with mental health problems.

Puberty is linked to mental health problems during adolescence, and in particular, the timing of puberty is thought to be an important risk factor. This study developed a new measure of pubertal timing that was built upon multiple pubertal features and their nonlinear changes over time (i.e., with age), and investigated its association with mental health problems. Using the Adolescent Brain Cognitive Development (ABCD) cohort (N ~ 9900, aged 9-13 years), we employed three different models to assess pubertal timing. These models aimed to predict chronological age based on: (i) observed physical development, (ii) hormone levels (testosterone and dehydroepiandrosterone [DHEA]), and (iii) a combination of both physical development and hormones. To achieve this, we utilized a supervised machine learning approach, which allowed us to train the models using the available data and make age predictions based on the input pubertal features. The accuracy of these three models was evaluated, and their associations with mental health problems were examined. The new pubertal timing model performed better at capturing age variance compared to the more commonly used linear regression method. Further, the model based on physical features accounted for the most variance in mental health, such that earlier pubertal timing was associated with higher symptoms. This study demonstrates the utility of our new model of pubertal timing and suggests that, relative to hormonal measures, physical measures of pubertal maturation have a stronger association with mental health problems in early adolescence.

Developmental brain changes during puberty and associations with mental health problems.

BACKGROUND: Our understanding of the mechanisms relating pubertal timing to mental health problems via brain development remains rudimentary. METHOD: Longitudinal data was sourced from ∼11,500 children from the Adolescent Brain Cognitive Development (ABCD) Study (age 9-13years). We built models of "brain age" and "puberty age" as indices of brain and pubertal development. Residuals from these models were used to index individual differences in brain development and pubertal timing, respectively. Mixed-effects models were used to investigate associations between pubertal timing and regional and global brain development. Mediation models were used to investigate the indirect effect of pubertal timing on mental health problems via brain development. RESULTS: Earlier pubertal timing was associated with accelerated brain development, particularly of subcortical and frontal regions in females and subcortical regions in males. While earlier pubertal timing was associated with elevated mental health problems in both sexes, brain age did not predict mental health problems, nor did it mediate associations between pubertal timing and mental health problems. CONCLUSION: This study highlights the importance of pubertal timing as a marker associated with brain maturation and mental health problems.