Association between multipollutant exposure and thyroid hormones in elderly people: A cross-sectional study in China

被引:1
作者
Han, Bin [1 ]
Wang, Lulu [1 ]
Wang, Xiu [2 ]
Huang, Kai [3 ]
Shen, Yang [1 ]
Wang, Zhu [1 ]
Jing, Tao [1 ,4 ]
机构
[1] Huazhong Univ Sci & Technol, Tongji Med Coll, Sch Publ Hlth, State Key Lab Environm Hlth Incubat,Key Lab Enviro, 13 Hangkong Rd, Wuhan 430030, Hubei, Peoples R China
[2] Zhejiang Univ, Affiliated Hosp 1, Coll Med, Natl Clin Res Ctr Infect Dis,State Key Lab Diag &, Hangzhou 310003, Zhejiang, Peoples R China
[3] UCAS, Hangzhou Inst Adv Study, Sch Environm, Hangzhou 310024, Zhejiang, Peoples R China
[4] Huazhong Univ Sci & Technol, Tongji Med Coll, Sch Publ Hlth, 13 Hangkong Rd, Wuhan 430030, Peoples R China
基金
中国国家自然科学基金;
关键词
Multipollutants; Thyroid hormones; Mixture effect; Elderly individuals; Cross-sectional study; PERSISTENT ORGANIC POLLUTANTS; POLYCYCLIC AROMATIC-HYDROCARBONS; BISPHENOL-A; PREGNANT-WOMEN; POLYCHLORINATED-BIPHENYLS; PHTHALATE METABOLITES; CARDIOVASCULAR RISK; URINARY PHTHALATE; NATIONAL-HEALTH; BLOOD-SAMPLES;
D O I
10.1016/j.envres.2024.118781
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Environmental chemicals have been indicated to cause disruption of thyroid homeostasis in human populations. However, previous studies mostly focused on single group of chemicals. Herein, we investigate the independent and combined effects of multiple pollutants on thyroid homeostasis, including thyroid-stimulating hormone (TSH), total and free thyroxine (tT4 and fT4) and total and free triiodothyronine (tT3 and fT3) in elderly people. These environmental pollutants (n = 144) are from ten categories, including phenols, parabens, perfluoroalkyl substances (PFASs), polychlorinated biphenyls (PCBs), phthalate esters (PAEs), polycyclic aromatic hydrocarbons (PAHs), organochlorine pesticides (OCPs), organophosphate pesticides (OPPs), synthetic pyrethroids (SPs), herbicides, and metals. Few studies have evaluated the health risks of these 144 chemicals, especially their joint effects. In single-pollutant evaluations, multiple linear regression (MLR) models were used to estimate the independent associations between multiple exposures and thyroid biomarkers. In multi-pollutant evaluations, elastic net regression and Bayesian kernel machine regression (BKMR) models were used to estimate the combined associations. The MLR models showed that 41 chemicals were significantly related to THs levels. BKMR models revealed the most important chemical groups: metals for TSH, PAHs, SPs and PCBs for tT4, herbicides and SPs for tT3. This study will contribute to the understanding of multipollutant exposure and help prioritize specific chemical groups related to thyroid hormone disruption.
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页数:10
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