Exposure to synthetic steroid hormones and precocious puberty in girls: A case-control study

Abstract

Synthetic steroid hormones are an emerging class of environmental pollutants, but their influence on pubertal timing remains unclear. This case-control study explored the association between synthetic steroid hormone exposure and precocious puberty. Using ultrahigh performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS), synthetic steroid hormones were detected in urine samples from 229 Chinese girls, aged 6–9 years. Puberty status was assessed using Tanner staging by professional pediatricians. We conducted the least absolute shrinkage and selection operator (LASSO) regression combined with logistic regression. Besides, we evaluated the joint effects of steroid hormone mixture and identified the main contributor using the Weighted quantile sum (WQS) model and Bayesian kernel machine regression (BKMR) model. The logistic regression model reflected an inverse individual association between precocious puberty and halcinonide [OR (95 %CI): 0.20 (0.07, 0.46)], and budesonide [OR (95 %CI): 0.77 (0.62, 0.95)]. In the joint effects utilizing the WQS model, precocious puberty showed a marginal association with steroid hormone mixture, but was not significant [OR (95 %CI): 0.88 (0.75, 1.04)]. Prednisolone (0.31), fluorometholone acetate (0.24), and dexamethasone acetate (0.12) had the highest weight. Consistently, mixture exposure was not associated with precocious puberty in the BKMR model. In conclusion, precocious puberty was associated with halcinonide and budesonide exposure, but not steroid hormone mixture among girls. It highlighted the management of the residual synthetic steroid hormones in the environment and provided a direction for the prevention of precocious puberty.

Keywords

• Synthetic steroid hormone
• Precocious puberty
• Mixture
• Bayesian kernel machine regression