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Sun HZ, Tang H, Xiang Q, Xu S, Tian Y, Zhao H, Fang J, Dai H, Shi R, Pan Y, Luo T, Jin H, Ji C, Chen Y, Liu H, Zhao M, Tang K, Ramasamy SN, Loo EXL, Shek LP, Guo Y, Xu W, Bai X. Establishing a Multifaceted Comprehensive Maternity Cohort Facilitates Understanding of How Environmental Exposures Impact Perinatal Health. ENVIRONMENT & HEALTH (WASHINGTON, D.C.) 2024; 2:766-775. [PMID: 39568693 PMCID: PMC11574626 DOI: 10.1021/envhealth.4c00104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/03/2024] [Revised: 06/26/2024] [Accepted: 06/27/2024] [Indexed: 11/22/2024]
Abstract
China's "three-child policy", implemented in response to population aging, has made the protection of maternal and infant health an urgent priority. In this environmental and medical big-data era, the Zhejiang Environmental and Birth Health Research Alliance (ZEBRA) maternity cohort was established with the aim of identifying risk factors for perinatal morbidity and mortality from the perspectives of both observational epidemiology and experimental etiology. Compared with conventional birth cohorts, the inclusion of a maternity cohort allows greater scope for research and places an emphasis on maternal health. In particular, it allows us to focus on pregnant women with a history of pregnancy-related illnesses and those planning to have a second or third child. There are currently many pressing issues in perinatal health, including the risk associations between exogenous together with endogenous factors and the occurrence of perinatal abnormalities, pregnancy complications, and adverse pregnancy outcomes. It is crucial to explore the interaction between environmental exposures and genetic factors affecting perinatal health if we are to improve it. It is also worthwhile to assess the feasibility of the early stage prediction of major perinatal abnormalities. We hope to study this in the ZEBRA cohort and also seek nationwide and international collaborations to establish a multicenter cohort consortium, with the ultimate goal of contributing epidemiological evidence to literature and providing evidence-based insights for global maternal and child healthcare.
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Affiliation(s)
- Haitong Zhe Sun
- Centre for Sustainable Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117609, Republic of Singapore
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117609, Republic of Singapore
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore 117609, Republic of Singapore
- Department of Obstetrics, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, PR China
- Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, United Kingdom
- Department of Earth Sciences, University of Cambridge, Cambridge CB2 3EQ, United Kingdom
| | - Haiyang Tang
- Department of Obstetrics, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, PR China
| | - Qingyi Xiang
- Department of Obstetrics, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, PR China
| | - Siyuan Xu
- Department of Obstetrics, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, PR China
| | - Yijia Tian
- Department of Obstetrics, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, PR China
| | - Huan Zhao
- Department of Obstetrics and Gynecology, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, Zhejiang 322000, PR China
- Department of Obstetrics, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, PR China
| | - Jing Fang
- Department of Obstetrics, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, PR China
- Lanxi People's Hospital, Jinhua, Zhejiang 321102, PR China
| | - Haizhen Dai
- Department of Obstetrics, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, PR China
| | - Rui Shi
- Department of Obstetrics, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, PR China
| | - Yuxia Pan
- Department of Obstetrics, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, PR China
| | - Ting Luo
- Department of Obstetrics, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, PR China
- Wenling Women's and Children's Hospital, Taizhou, Zhejiang 317500, PR China
| | - Hangbiao Jin
- Key Laboratory of Microbial Technology for Industrial Pollution Control of Zhejiang Province, College of Environment, Zhejiang University of Technology, Hangzhou, Zhejiang 310032, PR China
| | - Chenyang Ji
- Key Laboratory of Pollution Exposure and Health Intervention of Zhejiang Province, Interdisciplinary Research Academy, Zhejiang Shuren University, Hangzhou, Zhejiang 310006, PR China
| | - Yuanchen Chen
- Key Laboratory of Microbial Technology for Industrial Pollution Control of Zhejiang Province, College of Environment, Zhejiang University of Technology, Hangzhou, Zhejiang 310032, PR China
| | - Hengyi Liu
- Institute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health, School of Public Health, Peking University Health Science Centre, Beijing 100191, PR China
| | - Meirong Zhao
- Key Laboratory of Microbial Technology for Industrial Pollution Control of Zhejiang Province, College of Environment, Zhejiang University of Technology, Hangzhou, Zhejiang 310032, PR China
| | - Kun Tang
- Vanke School of Public Health, Tsinghua University, Beijing 100084, PR China
| | - Sheena Nishanti Ramasamy
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117609, Republic of Singapore
| | - Evelyn Xiu-Ling Loo
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117609, Republic of Singapore
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), 30 Medical Drive, Singapore 117609, Republic of Singapore
- Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117609, Republic of Singapore
| | - Lynette P Shek
- Centre for Sustainable Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117609, Republic of Singapore
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117609, Republic of Singapore
| | - Yuming Guo
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria 3004, Australia
| | - Wei Xu
- Maternal and Child Health Division, Health Commission of Zhejiang Province, Hangzhou, Zhejiang 310006, PR China
| | - Xiaoxia Bai
- Department of Obstetrics, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, PR China
- Key Laboratory of Women's Reproductive Health, Hangzhou, Zhejiang 310006, PR China
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Ahmer Z, Atif M, Zaheer S, Adil O, Shaikh S, Shafique K. Association between residential green spaces and pregnancy outcomes: a systematic review and meta-analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2024; 34:3188-3205. [PMID: 38185100 DOI: 10.1080/09603123.2023.2299242] [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: 10/17/2023] [Accepted: 12/20/2023] [Indexed: 01/09/2024]
Abstract
Residential exposure to greenness has shown positive influences on pregnancy outcomes like birth weight, preterm births, and small to gestational age (SGA) deliveries. We aimed to comprehensively review and investigate these associations by conducting a systematic review with meta-analysis. Relevant studies were retrieved from PubMed, EMBASE, ScienceDirect, and Google Scholar databases before June 2023. Summary effect estimates included birth weight, low birth weight (LBW), preterm births, and SGA which were calculated for 0.1 unit increase in residential greenness exposure. Overall quality of the evidence was examined through Joanna Briggs Institute (JBI) critical appraisal tool. The review included 31 articles and found a statistically significant increase in birth weight measured at 250 m buffer distance (β = 8.95, 95% CI = 1.63-16.27). Green spaces were also associated with lower odds of LBW (OR = 0.97, 95% CI = 0.96-0.98). Residential greenness had positive impacts on pregnancy outcomes that calls for emphasis on urban planning, especially in developing countries.
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Affiliation(s)
- Zaeema Ahmer
- APPNA Institute of Public Health, Jinnah Sindh Medical University, Karachi, Sindh, Pakistan
- School of Public Health, Dow University of Health Sciences, Karachi, Sindh, Pakistan
| | - Maria Atif
- School of Public Health, Dow University of Health Sciences, Karachi, Sindh, Pakistan
| | - Sidra Zaheer
- School of Public Health, Dow University of Health Sciences, Karachi, Sindh, Pakistan
| | - Omair Adil
- School of Public Health, Dow University of Health Sciences, Karachi, Sindh, Pakistan
| | - Shiraz Shaikh
- APPNA Institute of Public Health, Jinnah Sindh Medical University, Karachi, Sindh, Pakistan
| | - Kashif Shafique
- School of Public Health, Dow University of Health Sciences, Karachi, Sindh, Pakistan
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Chen T, Shi S, Li X, Zhou L, Yu Y, Cai Y, Wang J, Kan H, Xu Y, Huang C, Tan Y, Meng X, Zhao Z. Improved ambient air quality is associated with decreased prevalence of childhood asthma and infancy shortly after weaning is a sensitive exposure window. Allergy 2024; 79:1166-1179. [PMID: 37458141 DOI: 10.1111/all.15815] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 04/30/2023] [Accepted: 05/22/2023] [Indexed: 07/18/2023]
Abstract
BACKGROUND The urban ambient air quality has been largely improved in the past decade. It is unknown whether childhood asthma prevalence is still increasing in ever top-ranking city of Shanghai, whether the improved air quality is beneficial for children's asthma and what time window of exposure plays critical roles. METHODS Using a repeat cross-sectional design, we analyzed the association between early life exposure to particles and wheezing/asthma in each individual and combined surveys in 2011 and 2019, respectively, in 11,825 preschool children in Shanghai. RESULTS A significantly lower prevalence of doctor-diagnosed asthma (DDA) (6.6% vs. 10.5%, p < 0.001) and wheezing (10.5% vs. 23.2%, p < 0.001) was observed in 2019 compared to 2011. Exposure to fine particulate matter (PM2.5), coarse particles (PM2.5-10) and inhalable particles (PM10) was decreased in 2019 by 6.3%, 35.4%, and 44.7% in uterus and 24.3%, 20.2%, and 31.8% in infancy, respectively. Multilevel log-binomial regression analysis showed exposure in infancy had independent association with wheezing/DDA adjusting for exposure in uterus. For each interquartile range (IQR) increase of infancy PM2.5, PM2.5-10 and PM10 exposure, the odds ratios were 1.39 (95% confidence interval (CI): 1.24-1.56), 1.51 (95% CI:1.15-1.98) and 1.53 (95% CI:1.27-1.85) for DDA, respectively. The distributed lag non-linear model showed the sensitive exposure window (SEW) was 5.5-11 months after birth. Stratified analysis showed the SEWs were at or shortly after weaning, but only in those with <6 months of exclusive breastfeeding. CONCLUSIONS Improved ambient PM benefits in decreasing childhood asthma prevalence. We firstly reported the finding of SEW to PM at or closely after weaning on childhood asthma.
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Affiliation(s)
- Tianyi Chen
- Department of Environmental Health, School of Public Health, the Key Laboratory of Public Health Safety of the Ministry of Education, and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Su Shi
- Department of Environmental Health, School of Public Health, the Key Laboratory of Public Health Safety of the Ministry of Education, and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Xinyue Li
- Department of Environmental Health, School of Public Health, the Key Laboratory of Public Health Safety of the Ministry of Education, and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Lu Zhou
- Department of Environmental Health, School of Public Health, the Key Laboratory of Public Health Safety of the Ministry of Education, and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Yongfu Yu
- Department of Biostatistics, School of Public Health, and the Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
| | - Yunfei Cai
- Department of General Management and Statistics, Shanghai Environment Monitoring Center, Shanghai, China
| | - Jing Wang
- Pudong New Area Center for Disease Control and Prevention, Shanghai, China
| | - Haidong Kan
- Department of Environmental Health, School of Public Health, the Key Laboratory of Public Health Safety of the Ministry of Education, and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
- Typhoon Institute/CMA, Shanghai Key Laboratory of Meteorology and Health IRDR International Center of Excellence on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health WMO/IGAC MAP-AQ Asian Office Shanghai, Fudan University, Shanghai, China
| | - Yanyi Xu
- Department of Environmental Health, School of Public Health, the Key Laboratory of Public Health Safety of the Ministry of Education, and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
- Typhoon Institute/CMA, Shanghai Key Laboratory of Meteorology and Health IRDR International Center of Excellence on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health WMO/IGAC MAP-AQ Asian Office Shanghai, Fudan University, Shanghai, China
| | - Chen Huang
- School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai, China
| | - Yongqiang Tan
- Department of Pediatrics, Chongming Hospital Affiliated to Shanghai University of Medicine & Health Sciences, Shanghai, China
| | - Xia Meng
- Department of Environmental Health, School of Public Health, the Key Laboratory of Public Health Safety of the Ministry of Education, and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
- Typhoon Institute/CMA, Shanghai Key Laboratory of Meteorology and Health IRDR International Center of Excellence on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health WMO/IGAC MAP-AQ Asian Office Shanghai, Fudan University, Shanghai, China
| | - Zhuohui Zhao
- Department of Environmental Health, School of Public Health, the Key Laboratory of Public Health Safety of the Ministry of Education, and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
- Typhoon Institute/CMA, Shanghai Key Laboratory of Meteorology and Health IRDR International Center of Excellence on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health WMO/IGAC MAP-AQ Asian Office Shanghai, Fudan University, Shanghai, China
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Mi T, Qiu Z, Li C, Li W, Gao Y, Chen Z, Xu W, Liu Z, Li Q, Jiang M, Liu H, Dai L, Zhan Y. Joint effects of green space and air pollutant exposure on preterm birth: evidence from a nationwide study in China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:35149-35160. [PMID: 38727972 DOI: 10.1007/s11356-024-33561-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 04/30/2024] [Indexed: 05/30/2024]
Abstract
An association between green space exposure and preterm birth has been reported. However, evidence on the joint effects of air pollutant and green space exposure on preterm birth from nationwide research is limited in China. Based on a nationwide cohort, this study aims to explore the effect of green space exposure on preterm birth and analyze the joint effects of green space and air pollutant. Logistic regression models were developed to analyze the effects of green space exposure, and interaction effects were evaluated by adding interaction terms between green space and air pollutants. From 2013 to 2019, this study included 2,294,188 records of newborn births, of which 82,921 were preterm births. The results show that for buffer zones with 250 m, 500 m, 1000 m, and 1500 m, every 0.1 unit increase in NDVI exposure was associated with a decrease in the risk of preterm birth by 5.5% (95% CI: 4.6-6.4%), 5.8% (95% CI: 4.9-6.6%), 6.1% (95% CI: 5.3-7.0%), and 5.6% (95% CI: 4.7-6.5%), respectively. Under high-level exposure to air pollutants, high-level NDVI exposure was more strongly negatively correlated with preterm birth than low-level NDVI exposure. High-level green space exposure might mitigate the adverse effect of air pollutants on preterm birth by promoting physical activity, reducing stress, and adsorbing pollutants. Further investigation is needed to explore how green space and air pollution interact and affect preterm birth, in order to improve risk management and provide a reference for newborn health.
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Affiliation(s)
- Tan Mi
- College of Carbon Neutrality Future Technology, Sichuan University, Chengdu, 610065, Sichuan, China
| | - Zhimei Qiu
- Department of Environmental Science and Engineering, Sichuan University, Chengdu, 610065, Sichuan, China
- The Joint Laboratory for Pulmonary Development and Related Diseases, West China Institute of Women and Children's Health, West China Second University Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Chunyuan Li
- Department of Environmental Science and Engineering, Sichuan University, Chengdu, 610065, Sichuan, China
| | - Wenyan Li
- National Center for Birth Defects Monitoring, West China Second University Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, 610041, Sichuan, China
| | - Yuyang Gao
- National Center for Birth Defects Monitoring, West China Second University Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, 610041, Sichuan, China
| | - Zhiyu Chen
- National Center for Birth Defects Monitoring, West China Second University Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, 610041, Sichuan, China
| | - Wenli Xu
- National Center for Birth Defects Monitoring, West China Second University Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, 610041, Sichuan, China
| | - Zhen Liu
- National Center for Birth Defects Monitoring, West China Second University Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, 610041, Sichuan, China
| | - Qi Li
- National Center for Birth Defects Monitoring, West China Second University Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, 610041, Sichuan, China
| | - Min Jiang
- Department of Epidemiology and Health Statistics, West China School of Public Health, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Hanmin Liu
- The Joint Laboratory for Pulmonary Development and Related Diseases, West China Institute of Women and Children's Health, West China Second University Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
- NHC Key Laboratory of Chronobology, Sichuan University, Chengdu, 610041, Sichuan, China
- Med-X Center for Informatics, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Li Dai
- The Joint Laboratory for Pulmonary Development and Related Diseases, West China Institute of Women and Children's Health, West China Second University Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
- National Center for Birth Defects Monitoring, West China Second University Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, 610041, Sichuan, China
- NHC Key Laboratory of Chronobology, Sichuan University, Chengdu, 610041, Sichuan, China
- Med-X Center for Informatics, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Yu Zhan
- College of Carbon Neutrality Future Technology, Sichuan University, Chengdu, 610065, Sichuan, China.
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Moreira TCL, Polizel JL, Réquia WJ, Saldiva PHN, Silva Filho DFD, Saldiva SRDM, Mauad T. Effects of land cover and air pollution on the risk of preterm births. Rev Saude Publica 2024; 58:08. [PMID: 38477779 PMCID: PMC10926984 DOI: 10.11606/s1518-8787.2024058005504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 04/25/2024] [Accepted: 07/28/2023] [Indexed: 03/14/2024] Open
Abstract
OBJECTIVE To evaluate the association between gestational age and green areas, urban built areas, and the concentration of particulate matter 2.5 (PM2.5) in the city of São Paulo, analyzing the irregular distribution of these areas and pollution levels above the recommended level. METHODS The study population consisted of a cohort of live births from 2012, and data from the Live Birth Information System (Sinasc) of the city of São Paulo were used. Using satellite images and supervised classification, the distribution and quantity of green areas and built areas in the city of São Paulo was obtained, as well as the concentrations of PM2.5. Logistic regressions were used to obtain possible associations. RESULTS The results of the study show that a lower percentage of green areas is significantly associated with a higher chance of preterm births. A higher building density was positively associated with the odds ratio for preterm birth. We did not find any significant associations between air pollution (PM2.5) and preterm births. CONCLUSIONS The results of this study show that greener areas are less associated with preterm births when compared with less green areas.
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Affiliation(s)
- Tiana C L Moreira
- Universidade de São Paulo. Faculdade de Medicina. Departamento de Patologia. São Paulo, SP, Brazil
| | - Jefferson L Polizel
- Escola Superior de Agricultura "Luiz de Queiroz". Departamento de Ciências Florestais. Piracicaba, SP, Brazil
| | - Weeberb J Réquia
- Fundação Getúlio Vargas. Escola de Políticas Públicas e Governo. Brasília, DF, Brazil
| | | | - Demostenes F da Silva Filho
- Escola Superior de Agricultura "Luiz de Queiroz". Departamento de Ciências Florestais. Piracicaba, SP, Brazil
| | | | - Thais Mauad
- Universidade de São Paulo. Faculdade de Medicina. Departamento de Patologia. São Paulo, SP, Brazil
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6
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Min J, Lee W, Oh J, Kwag Y, Kim E, Kim JM, Lee KA, Ha E. Disparities in the association between ambient temperature and preterm birth according to individual and regional characteristics: a nationwide time-stratified case-crossover study. Environ Health 2024; 23:23. [PMID: 38389085 PMCID: PMC10882820 DOI: 10.1186/s12940-024-01062-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Accepted: 02/06/2024] [Indexed: 02/24/2024]
Abstract
BACKGROUND Several studies have reported that climate change elevates heat exposure in pregnant women and high temperatures during pregnancy are associated with preterm births (PTBs). Although the association might be disproportionate, related evidence remains sparse. We evaluated the disproportionate risk of PTB associated with ambient temperature during pregnancy by individual and regional characteristics in South Korea. METHODS We collected data on birth certificates and daily mean temperatures during the period from 2011 to 2019. A time-stratified case-crossover design was used to investigate the association between temperature and PTB and stratified analyses were conducted to examine the effect modification of individual and regional characteristics. RESULTS A total of 160,067 singleton PTBs were recorded in Korea from 2011 to 2019. A 5℃ increase in the mean temperature during the last four weeks before delivery was associated with an increased risk of PTB with an odds ratio (OR) of 1.03 (95% confidence interval [CI]: 1.02, 1.05), and the association was more evident in mothers aged ≥35 years (OR: 1.06 [95% CI: 1.03, 1.10]) and with low education levels (OR: 1.04 [95% CI: 1.02, 1.05]). Additionally, the estimated risk was evident in districts with lower medical resources and more prominent disparities were shown by individual and regional characteristics in rural areas than in urban areas. CONCLUSIONS This study provides evidence that the risk of PTB related to ambient temperature is disproportionate by individual and regional characteristics and suggests the need for public health policies to alleviate the disparities, especially in rural areas.
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Affiliation(s)
- Jieun Min
- Department of Environmental Medicine, College of Medicine, Ewha Womans University, Seoul, Republic of Korea
- Graduate Program in System Health Science and Engineering, College of Medicine, Ewha Womans University, Seoul, Republic of Korea
| | - Whanhee Lee
- School of Biomedical Convergence Engineering, College of Information and Biomedical Engineering, Pusan National University, Yangsan, Republic of Korea
| | - Jongmin Oh
- Department of Environmental Medicine, College of Medicine, Ewha Womans University, Seoul, Republic of Korea
- Institute of Ewha-SCL for Environmental Health (IESEH), SCL for Environmental Health (IESEH), Ewha Womans University College of MedicineEwha Womans University College of Medicine, Seoul, Republic of Korea
- Department of Human Systems Medicine, College of Medicine, Seoul National University, Seoul, Republic of Korea
| | - Youngrin Kwag
- Department of Environmental Medicine, College of Medicine, Ewha Womans University, Seoul, Republic of Korea
| | - Eunji Kim
- Department of Environmental Medicine, College of Medicine, Ewha Womans University, Seoul, Republic of Korea
- Graduate Program in System Health Science and Engineering, College of Medicine, Ewha Womans University, Seoul, Republic of Korea
| | - Joyce Mary Kim
- Department of Environmental Medicine, College of Medicine, Ewha Womans University, Seoul, Republic of Korea
- Graduate Program in System Health Science and Engineering, College of Medicine, Ewha Womans University, Seoul, Republic of Korea
| | - Kyung A Lee
- Department of Obstetrics and Gynecology, College of Medicine, Ewha Womans University, Seoul, Republic of Korea.
| | - Eunhee Ha
- Department of Environmental Medicine, College of Medicine, Ewha Womans University, Seoul, Republic of Korea.
- Graduate Program in System Health Science and Engineering, College of Medicine, Ewha Womans University, Seoul, Republic of Korea.
- Institute of Ewha-SCL for Environmental Health (IESEH), SCL for Environmental Health (IESEH), Ewha Womans University College of MedicineEwha Womans University College of Medicine, Seoul, Republic of Korea.
- Department of Medical Science, Ewha Womans University School of Medicine and Ewha Medical Research Institute, Seoul, Republic of Korea.
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