[Analysis on psychosocial factors for early puberty in children].

Objective

To investigate the effects of psychosocial factors on early puberty and its sex specific differences.

Methods

Bengbu Yuhui Longitudinal Study of Children Development Cohort, consisting of 1 162 students in grades 1-3 (524 girls) and their parents, was established in April 2021 in Bengbu, Anhui Province. The parents were surveyed by questionnaire to collect the information about their children's 56 items of psychosocial factor exposures, including 5 dimensions: major life events, early life adversity, interpersonal/relational conflict, family economic status and daily life troubles. Pubertal growth and physical examinations were conducted by trained professionals at baseline, the 1st (May 2022), 2nd (October 2022), 3rd (May 2023), and 4th (October 2023) follow-up surveys. In this study, the pubertal development status data were from the 4th follow-up examination. Fianally, the valid data on pubertal development of 1 105 children were obtained, including the data from 510 girls (46.15%). Multinomial logistic regression model was used to analyze the association between psychosocial factors and early puberty, and the final predictors of early puberty were explored by using four models [least absolute shrinkage and selection operator (LASSO), multiple logistic regression, ridge regression, and Bayesian].

Results

The detection rates of early puberty in boys and girls were 13.60% and 16.30%, respectively. The median of intra-group absolute correlation of psychosocial factor exposure (0.042-0.066) was generally higher than that of inter-group among girls (0.031-0.059), while no similar diference was found among boys. LASSO model showed that moving house, being raised by someone other than parents, sexual abuse, peer conflict, high monthly household income, and high exposure to electronics on school days were predictors of early puberty in girls, while moving house and high monthly household income were the predictors of early puberty in girls in all four models (LASSO, multiple logistic regression, ridge regression, and Bayesian). Among boys, only a transient loss from family was a predictor of early puberty.

Conclusion

Early puberty in children can be predicted by psychosocial factors, and there are gender-specific differences.