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Bai S, Zhang J, Cui L, Du S, Lin S, Liang Y, Liu Y, Wang Z. The joint effect of cumulative doses for outdoor air pollutants exposure in early life on asthma and wheezing among young children. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 273:116097. [PMID: 38367605 DOI: 10.1016/j.ecoenv.2024.116097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 02/06/2024] [Accepted: 02/08/2024] [Indexed: 02/19/2024]
Abstract
BACKGROUND Constrained by no proper way to assess cumulative exposure, the joint effect of air pollution cumulative exposure doses on childhood asthma and wheezing (AW) was not understood. OBJECTIVE To assess the association between cumulative exposure to multiple air pollutants in early life and childhood AW. METHODS We designed a nested case-control study based on the birth cohort in Jinan City. Children with AW followed up within 2 years after birth were treated as cases, and non-cases in this cohort were treated as the control source population, and the propensity score matching method was used to match each case to 5 controls. We calculated the individual cumulative outdoor exposure doses for each period using an inverse distance weighted model, alongside the complex Simpson's formula, accounting for outdoor time and respiratory volume. The Least absolute shrinkage and selection operator (Lasso) regression was performed to screen for covariates. To analyze the joint effects of pollutants, we employed the weighted quantile sum (WQS) regression model in conjunction with conditional logistic regression. RESULTS 84 cases and 420 controls were included in this study. The odds ratio (OR) with 95% confidence interval (CI) of the impact of cumulative exposure (mg/m3) after birth on childhood AW was 1.78 (1.15-2.74) for SO2, 1.69 (1.11-2.57) for NO2, and 1.65 (1.09-2.52) for PM2.5, respectively. Furthermore, with each 25th percentile increase in the WQS index, the overall risk of cumulative doses for six pollutants exposure after birth on AW increased by an adjusted OR of 1.10 (1.03, 1.18), and SO2, PM2.5, and NO2 contributed the most to the WQS index. However, no statistically significant association was found between cumulative exposure to all pollutants before birth and childhood AW. CONCLUSIONS There was a joint effect of the cumulative exposure dose of outdoor air pollutants after birth on AW in children aged 0-2 years. And traffic-related pollutants (SO2, PM2.5, and NO2) make a greater contribution to the joint effect.
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Affiliation(s)
- Shuoxin Bai
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, PR China; Qilu Hospital of Shandong University, Jinan, Shandong, 250012, PR China
| | - Jiatao Zhang
- Department of Occupational and Environmental Health, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, PR China
| | - Liangliang Cui
- Jinan Municipal Center for Disease Control and Prevention, Jinan, Shandong, PR China; Jinan Mental Health Center, Jinan, Shandong, P.R. China
| | - Shuang Du
- Department of Occupational and Environmental Health, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, PR China; Department of Environmental Health, Fudan University, Shanghai, PR China
| | - Shaoqian Lin
- Jinan Municipal Center for Disease Control and Prevention, Jinan, Shandong, PR China
| | - Yuxiu Liang
- Department of Occupational and Environmental Health, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, PR China
| | - Yi Liu
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, PR China.
| | - Zhiping Wang
- Department of Occupational and Environmental Health, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, PR China.
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Liao Q, Huang H, Tang P, Liang J, Chen J, Mu C, Pan D, Lv F, Zhou L, Long J, Chen Q, Zeng X, Liu S, Huang D, Qiu X. Associations of prenatal exposure to per- and polyfluoroalkyl substances and fetal sex hormones in the Guangxi Zhuang Birth Cohort Study: Greater effect of long-chain PFAS. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 272:116054. [PMID: 38310819 DOI: 10.1016/j.ecoenv.2024.116054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Revised: 01/07/2024] [Accepted: 01/28/2024] [Indexed: 02/06/2024]
Abstract
Fetal sex hormone homeostasis disruption could lead to reproductive and developmental abnormalities. However, previous studies have reported inconsistent findings regarding the association of maternal per- and polyfluoroalkyl substances (PFAS) exposure with fetal sex hormone levels. A total of 277 mother-infant pairs from the Guangxi Zhuang Birth Cohort Study between 2015 and 2019 were selected. We quantified nine PFAS in maternal serum in early pregnancy, and detected three sex hormones, namely, estradiol (E2), progesterone (P4) and testosterone (TT), in cord blood. The generalized linear model (GLM) and Bayesian kernel machine regression (BKMR) model were used for single- and multiple-exposure analyses, respectively. In the GLM, there was no significant association between an individual PFAS and any hormone level or the E2/TT ratio, but a negative association between perfluorododecanoic acid (PFDoA) exposure and P4 levels in female infants was observed after stratification by sex. In the BKMR, a mixture of nine PFAS was positively associated with E2 levels and the E2/TT ratio, with the same main contributors, i.e., perfluoroundecanoic acid (PFUnA). And PFAS mixtures were not associated with P4 or TT levels. After stratification by infant sex, positive associations of PFAS mixtures with E2 levels and the E2/TT ratio were observed only in male infants, with the same main contributors, i.e., PFUnA. There was a positive association between PFAS mixtures and P4 levels in male infants, in which PFUnA was the main contributor; but a reverse association between PFAS mixtures and P4 levels in female infants, in which PFDoA was the main contributor. This study suggested that prenatal exposure to PFAS mixtures is associated with fetal sex hormones, and long-chain PFAS may play an important role in this association. Furthermore, sex differences in the association of maternal PFAS exposure with E2 and P4 levels need additional attention.
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Affiliation(s)
- Qian Liao
- Department of Epidemiology and Biostatistics, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Huishen Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Peng Tang
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing 100191, China
| | - Jun Liang
- Department of Epidemiology and Biostatistics, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Jiehua Chen
- Department of Microbiology, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Changhui Mu
- Department of Sanitary Chemistry, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Dongxiang Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Fangfang Lv
- Department of Maternal, Child and Adolescent Health, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Lihong Zhou
- Department of Epidemiology and Biostatistics, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Jinghua Long
- Department of Epidemiology and Biostatistics, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Qian Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Xiaoyun Zeng
- Department of Epidemiology and Biostatistics, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China; Department of Epidemiology and Health Statistics, School of Public Health, Guilin Medical University, Guilin 541001, Guangxi, China
| | - Shun Liu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Dongping Huang
- Department of Microbiology, Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Xiaoqiang Qiu
- Department of Epidemiology and Biostatistics, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China.
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Sun S, Xie Z, Song X, Wen S, Yuan W, Miao M, Ji H, Liang H. Prenatal exposure to Per- and polyfluoroalkyl substances and adiposity measures of children at 4 and 6 years: A prospective birth cohort in China. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 269:115751. [PMID: 38042132 DOI: 10.1016/j.ecoenv.2023.115751] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Revised: 11/13/2023] [Accepted: 11/25/2023] [Indexed: 12/04/2023]
Abstract
There is growing evidence that prenatal exposure to Per- and polyfluoroalkyl substances (PFAS) was associated with childhood obesity, but evidence on multiple adiposity measures including arm circumference (AC), and waist circumference (WC) among Chinese children is limited. We investigated the associations of prenatal exposure to PFAS with adiposity measures of children at 4 and 6 years of age in the Shanghai-Minhang Birth Cohort Study. A total of 573 mother-child pairs with maternal PFAS concentrations and at least one measurement of adiposity measures of children were included in the present study. Eleven PFAS were assessed in maternal fasting blood samples. Information on children's weight, height, AC, and WC was collected at follow-ups. Weight for age Z score (WAZ), body mass index for age Z score (BMIz), and children overweight were calculated based on the World Health Organization Child Growth Standards. Multivariate linear regression, Poisson regression with robust error variance, and Bayesian Kernel Machine Regression (BKMR) models were used to examine the associations of prenatal exposure to PFAS with children's adiposity measures. Eight PFAS with detection rates above 85 % were included in the analyses. In the multivariate linear regression models, maternal PFNA concentrations were associated with a greater AC (β = 0.29, 95 % Confidence Interval (CI): 0.04-0.55) in 4-year-old children and with an increase in WAZ (β = 0.26, 95 % CI: 0.06-0.46), BMIz (β = 0.31, 95 % CI: 0.09-0.53), AC (β = 0.49, 95 % CI: 0.08-0.90), and WC (β = 1.47, 95 % CI: 0.41-2.52) in 6-year-old children. We also observed the associations of maternal concentrations of PFOS, PFNA, PFUdA, and PFTrDA with the increased risk of children overweight in 6-year-old children. BKMR models further supported the findings from multivariate linear regression and Poisson regression models, and identified PFNA as the most important contributor. Moreover, the associations described above were generally more pronounced in girls. In conclusion, prenatal exposure to PFAS was associated with an increased risk of children's adiposity with a sex-specific manner, and PFNA contributed most to the associations after controlling for the effect of co-exposure to other PFAS compounds, especially among girls at 6 years of age.
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Affiliation(s)
- Songlin Sun
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, School of Public Health, Fudan University, Shanghai 200237, China
| | - Zhenzhen Xie
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, School of Public Health, Fudan University, Shanghai 200237, China
| | - Xiuxia Song
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai 200237, China
| | - Sheng Wen
- Hubei Provincial Key Laboratory of Applied Toxicology, National Reference Laboratory of Dioxin, Hubei Provincial Center for Disease Control and Prevention, Wuhan, Hubei 430079, China
| | - Wei Yuan
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai 200237, China
| | - Maohua Miao
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai 200237, China
| | - Honglei Ji
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai 200237, China.
| | - Hong Liang
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai 200237, China.
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