Association of the urinary polycyclic aromatic hydrocarbons with sex hormones stratified by menopausal status older than 20 years: a mixture analysis

Author:

Zhu Xihui,Meng Yancen,Ju Yaru,Yang Yanjing,Zhang Su’e,Miao Liye,Liu Zhan

Funder

Shijiazhuang science and technology research and development plan project

Publisher

Springer Science and Business Media LLC

Subject

Health, Toxicology and Mutagenesis,Pollution,Environmental Chemistry,General Medicine

Reference60 articles.

1. Adeniran JA, Abdulraheem MO, Ameen HA, Odediran ET, Yusuf MO (2021) Source identification and health risk assessments of polycyclic aromatic hydrocarbons in settled dusts from different population density areas of Ilorin Nigeria. Environ Monit Assess 193(12):777. https://doi.org/10.1007/s10661-021-09566-1

2. Agarwal P, Singh L, Anand M, Taneja A (2018) Association between placental polycyclic aromatic hydrocarbons (PAHS), oxidative stress, and preterm delivery: a case-control study. Arch Environ Contam Toxicol 74(2):218–227. https://doi.org/10.1007/s00244-017-0455-0

3. Baird GL, Archer-Chicko C, Barr RG, Bluemke DA, Foderaro AE, Fritz JS, Hill NS, Kawut SM, Klinger JR, Lima JAC, Mullin CJ, Ouyang P, Palevsky HI, Palmisicano AJ, Pinder D, Preston IR, Roberts KE, Smith KA, Walsh T, Whittenhall M, Ventetuolo CE (2018) Lower DHEA-S levels predict disease and worse outcomes in post-menopausal women with idiopathic, connective tissue disease- and congenital heart disease-associated pulmonary arterial hypertension. Eur Respir J 51(6):1800467. https://doi.org/10.1183/13993003.00467-2018

4. Bobb JF, Claus Henn B, Valeri L, Coull BA (2018) Statistical software for analyzing the health effects of multiple concurrent exposures via Bayesian kernel machine regression. Environ Health 17(1):67. https://doi.org/10.1186/s12940-018-0413-y

5. Bobb JF, Valeri L, Claus Henn B, Christiani DC, Wright RO, Mazumdar M, Godleski JJ, Coull BA (2015) Bayesian kernel machine regression for estimating the health effects of multi-pollutant mixtures. Biostatistics 16(3):493–508. https://doi.org/10.1093/biostatistics/kxu058

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