Zhijiang Liang1, Yin Yang2, Jin Li3, Xinhong Zhu4, Zengliang Ruan2, Shuilian Chen5, Guanhao Huang5, Hualiang Lin6, Ji-Yuan Zhou7, Qingguo Zhao8. 1. Department of Public Health, Guangdong Women and Children Hospital, 521 Xingnan Road, Panyu District, Guangzhou, 511442, China; State Key Laboratory of Organ Failure Research, Ministry of Education, And Guangdong Provincial Key Laboratory of Tropical Disease Research, Department of Biostatistics, School of Public Health, Southern Medical University, Guangzhou, 510515, China. 2. Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China. 3. State Key Laboratory of Organ Failure Research, Ministry of Education, And Guangdong Provincial Key Laboratory of Tropical Disease Research, Department of Biostatistics, School of Public Health, Southern Medical University, Guangzhou, 510515, China. 4. Department of Public Health, Guangdong Women and Children Hospital, 521 Xingnan Road, Panyu District, Guangzhou, 511442, China. 5. Health Care Department, Guangdong Women and Children's Hospital, Guangzhou Medical University, Guangzhou, China. 6. Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China. Electronic address: linhualiang@mail.sysu.edu.cn. 7. State Key Laboratory of Organ Failure Research, Ministry of Education, And Guangdong Provincial Key Laboratory of Tropical Disease Research, Department of Biostatistics, School of Public Health, Southern Medical University, Guangzhou, 510515, China. Electronic address: jyzhou_smu@echobelt.org. 8. Epidemiological Research Office of Key Laboratory of Male Reproduction and Genetics, Family Planning Research Institute of Guangdong Province, Guangzhou, China; Epidemiological Research Office of Key Laboratory of Male Reproduction and Genetics (National Health and Family Planning Commission), Family Planning Special Hospital of Guangdong Province, Guangzhou, China. Electronic address: zqgfrost@gdszjk.org.cn.
Abstract
BACKGROUND: Studies have reported that exposure to air pollution during pregnancy was associated with preterm birth (PTB). However, it remains unknown whether this association differs between local residents and migrants. OBJECTIVE: This study aimed to differentiate the associations between maternal air pollution exposure and PTB between local residents and migrants. METHODS: We established a retrospective birth cohort in seven Chinese cities in Pearl River Delta (PRD) region during 2015-2017. The mothers were included in the cohort at their first time of hospital visit for pregnancy, and the endpoint events were identified using the birth registry. The air pollution exposure was estimated based on the daily air pollution concentrations in the nearby air monitoring stations during different pregnancy periods. Cox proportional hazards models were utilized to estimate the associations between each air pollutant and PTB for different pregnancy periods. RESULTS: Our cohort included a total of 628,439 mother-and-live-birth pairs. Among them, 308,201 women were local residents, and 320,238 were migrants. We observed stronger effects of air pollutants among the migrants than the local residents. For the exposure during the entire pregnancy, the hazard ratio (HR) among the migrants and local residents were 1.56 (95% CI: 1.50, 1.63) and 0.98 (95% CI: 0.93, 1.02) for each 10 μg/m3 increase in PM2.5, 1.32 (95% CI: 1.27, 1.39) and 1.18 (95% CI: 1.12, 1.23) for each 10 ppb increase in O3, and 1.48 (95% CI: 1.40, 1.57) and 0.99 (95% CI: 0.93, 1.05) for each 10 μg/m3 increase in SO2, respectively. Similarly higher effects were observed among the migrants for the exposures in different trimesters of pregnancy. However, the effects of NO2 were comparable between the two groups. CONCLUSION: Our study suggests that maternal PM2.5, O3 and SO2 exposures might be important risk factors of preterm birth, particularly among the migrants. More specific protective and education measures should be considered for the migrant pregnant women.
BACKGROUND: Studies have reported that exposure to air pollution during pregnancy was associated with preterm birth (PTB). However, it remains unknown whether this association differs between local residents and migrants. OBJECTIVE: This study aimed to differentiate the associations between maternal air pollution exposure and PTB between local residents and migrants. METHODS: We established a retrospective birth cohort in seven Chinese cities in Pearl River Delta (PRD) region during 2015-2017. The mothers were included in the cohort at their first time of hospital visit for pregnancy, and the endpoint events were identified using the birth registry. The air pollution exposure was estimated based on the daily air pollution concentrations in the nearby air monitoring stations during different pregnancy periods. Cox proportional hazards models were utilized to estimate the associations between each air pollutant and PTB for different pregnancy periods. RESULTS: Our cohort included a total of 628,439 mother-and-live-birth pairs. Among them, 308,201 women were local residents, and 320,238 were migrants. We observed stronger effects of air pollutants among the migrants than the local residents. For the exposure during the entire pregnancy, the hazard ratio (HR) among the migrants and local residents were 1.56 (95% CI: 1.50, 1.63) and 0.98 (95% CI: 0.93, 1.02) for each 10 μg/m3 increase in PM2.5, 1.32 (95% CI: 1.27, 1.39) and 1.18 (95% CI: 1.12, 1.23) for each 10 ppb increase in O3, and 1.48 (95% CI: 1.40, 1.57) and 0.99 (95% CI: 0.93, 1.05) for each 10 μg/m3 increase in SO2, respectively. Similarly higher effects were observed among the migrants for the exposures in different trimesters of pregnancy. However, the effects of NO2 were comparable between the two groups. CONCLUSION: Our study suggests that maternal PM2.5, O3 and SO2 exposures might be important risk factors of preterm birth, particularly among the migrants. More specific protective and education measures should be considered for the migrant pregnant women.
Authors: Anne P Starling; Brianna F Moore; Deborah S K Thomas; Jennifer L Peel; Weiming Zhang; John L Adgate; Sheryl Magzamen; Sheena E Martenies; William B Allshouse; Dana Dabelea Journal: Environ Res Date: 2020-01-10 Impact factor: 6.498
Authors: Qihao Chen; Zhan Ren; Yujie Liu; Yunfei Qiu; Haomin Yang; Yuren Zhou; Xiaodie Wang; Kuizhuang Jiao; Jingling Liao; Lu Ma Journal: Int J Environ Res Public Health Date: 2021-04-19 Impact factor: 3.390
Authors: Jongeun Rhee; M Patricia Fabian; Stephanie Ettinger de Cuba; Sharon Coleman; Megan Sandel; Kevin James Lane; Maayan Yitshak Sade; Jaime E Hart; Joel Schwartz; Itai Kloog; Francine Laden; Jonathan I Levy; Antonella Zanobetti Journal: Int J Environ Res Public Health Date: 2019-10-28 Impact factor: 3.390