Department of Anaesthesiology, The Ninth People's Hospital of Shanghai, Jiao Tong University School of Medicine, No. 639 Zhizaoju Road, Shanghai, 200011, People's Republic of China.
Environ Sci Pollut Res Int. 2023 Feb;30(6):14533-14544. doi: 10.1007/s11356-022-23148-9. Epub 2022 Sep 24.
Sleep problems are common in modern society and may be related to environmental chemicals. The objective of this study is to investigate the association between exposure to personal care and consumer product chemicals (PCCPCs) and sleep-related disorders. Nationally representative data from the National Health and Nutrition Examination Survey (NHANES) were used in this study (N=2415). Sleep-related variables, including sleep duration, snoring, and self-reported sleep problems, were included as outcome variables to assess sleep quality. Urinary PCCPC concentrations were used to assess the association of PCCPCs with sleep problems and adjusted for variables similar to those used in related studies. PCCPC levels were analysed as quartiles. Multivariate logistic regression and weighted quantile sum (WQS) regression were used to analyse the association of urinary PCCPCs with sleep problems. Nine of the 12 kinds of PCCPCs with a detection rate greater than 50% were included in our study. Specifically, the concentrations of bisphenol A (BPA), bisphenol F (BPF), methyl paraben (MP) and triclosan (TCS) were significantly related to insufficient sleep. Based on the WQS model, combined exposure to PCCPCs was also significantly related to insufficient sleep; TCS, BPA, and MP were the compounds with the greatest impact regarding combined exposure. A variety of PCCPCs were associated with insufficient sleep in participants but were not significantly associated with the other sleep problems reported in the NHANES. As poor quality sleep is associated with multiple adverse health outcomes, our study provides insight into the health risks of PCCPC exposure.
睡眠问题在现代社会中很常见，可能与环境化学物质有关。本研究旨在调查个人护理和消费产品化学物质（PCCPC）暴露与睡眠相关障碍之间的关系。本研究使用了全国健康和营养检查调查（NHANES）的全国代表性数据（N=2415）。睡眠相关变量，包括睡眠时间、打鼾和自我报告的睡眠问题，被用作评估睡眠质量的结果变量。尿 PCCPC 浓度用于评估 PCCPC 与睡眠问题的关联，并根据与相关研究相似的变量进行了调整。PCCPC 水平被分析为四分位数。多变量逻辑回归和加权分位数总和（WQS）回归用于分析尿 PCCPC 与睡眠问题的关联。在我们的研究中，包括了 12 种 PCCPC 中有 9 种检出率大于 50%的物质。具体来说，双酚 A（BPA）、双酚 F（BPF）、甲基对羟基苯甲酸酯（MP）和三氯生（TCS）的浓度与睡眠不足显著相关。基于 WQS 模型，PCCPC 的联合暴露也与睡眠不足显著相关；TCS、BPA 和 MP 是联合暴露中影响最大的化合物。多种 PCCPC 与参与者的睡眠不足有关，但与 NHANES 报告的其他睡眠问题没有显著关联。由于睡眠质量差与多种不良健康后果有关，因此我们的研究提供了对 PCCPC 暴露健康风险的深入了解。
