Tong Wang, Wenzheng Zhou, Han Liu, Yu Zhan, Die Tang, Ying Guo, Chenran Yin, Dongyan Wu, Yayun Cao, Xi Ling, Huan Yang, Niya Zhou, Jia Cao, Wei Zhou, Qing Chen
{"title":"环境空气污染和温度暴露与胎盘早剥的关系:基于活产登记的巢式病例对照研究。","authors":"Tong Wang, Wenzheng Zhou, Han Liu, Yu Zhan, Die Tang, Ying Guo, Chenran Yin, Dongyan Wu, Yayun Cao, Xi Ling, Huan Yang, Niya Zhou, Jia Cao, Wei Zhou, Qing Chen","doi":"10.1289/EHP14714","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Placental abruption, a rare disorder of unclear etiology, lacks evidence to illustrate its relationship with exposure to air pollution and temperature.</p><p><strong>Objective: </strong>This study aimed to investigate the association between exposure to ambient pollutants and temperatures and placental abruption to identify susceptible time windows and subpopulations.</p><p><strong>Methods: </strong>A nested case-control study was based on a live birth registration database in Chongqing, the largest Chinese municipality in China, from 2018 to 2022. The placental abruption cases were each matched with four controls by maternal age at delivery, gestational week, gravidity, parity, and delivery date. Six ambient pollutants [particulate matter (PM) with aerodynamic diameter <math><mrow><mo>≤</mo><mn>2.5</mn><mspace></mspace><mi>μ</mi><mi>m</mi></mrow></math> (<math><mrow><mrow><msub><mrow><mrow><mi>PM</mi></mrow></mrow><mrow><mn>2.5</mn></mrow></msub></mrow></mrow></math>), PM with aerodynamic diameter <math><mrow><mo>≤</mo><mn>10</mn><mspace></mspace><mi>μ</mi><mi>m</mi></mrow></math> (<math><mrow><mrow><msub><mrow><mrow><mi>PM</mi></mrow></mrow><mrow><mn>10</mn></mrow></msub></mrow></mrow></math>), <math><mrow><mrow><msub><mrow><mrow><mi>NO</mi></mrow></mrow><mn>2</mn></msub></mrow></mrow></math>, CO, <math><mrow><mrow><msub><mrow><mi>O</mi></mrow><mn>3</mn></msub></mrow></mrow></math>, and <math><mrow><mrow><msub><mrow><mrow><mi>SO</mi></mrow></mrow><mn>2</mn></msub></mrow></mrow></math>] and temperature were estimated using machine learning algorithms. A conditional logistic regression model analyzed associations of exposure to air pollution and temperature with placental abruption in five time windows (prepregnancy, the entire pregnancy, and each of the 3 trimesters). Stratification analyses were applied to examine potential modifiers including gravidity, parity, mothers' residential area (urban/rural), pandemic experience, and delivery season.</p><p><strong>Results: </strong>After data quality control, 798 cases were identified and matched with 3,192 controls. An exposure relationship was identified between <math><mrow><mrow><msub><mrow><mrow><mi>NO</mi></mrow></mrow><mn>2</mn></msub></mrow></mrow></math> during the pregnancy period and placental abruption (<math><mrow><mi>p</mi><mo><</mo><mn>0.001</mn></mrow></math>). In comparison with the first quartile level of <math><mrow><mrow><msub><mrow><mrow><mi>NO</mi></mrow></mrow><mn>2</mn></msub></mrow></mrow></math>, the odds ratios (ORs) of abruption associated with exposure to the second, third, and fourth quartile levels of <math><mrow><mrow><msub><mrow><mrow><mi>NO</mi></mrow></mrow><mn>2</mn></msub></mrow></mrow></math> were 1.42 [95% confidence interval (CI): 1.03, 1.96], 1.90 (95% CI: 1.30, 2.76), and 2.27 (95% CI: 1.39, 3.71), respectively. The association for <math><mrow><mrow><msub><mrow><mrow><mi>NO</mi></mrow></mrow><mn>2</mn></msub></mrow></mrow></math> exposure existed in the 3 trimesters but not prepregnancy. Exposure to locally extreme low temperatures (<math><mrow><mo><</mo><mtext>fifth</mtext></mrow></math> percentile) in the third trimester was associated with increased risks of abruption (<math><mrow><mtext>OR</mtext><mo>=</mo><mn>3.68</mn></mrow></math>; 95% CI: 1.67, 8.08) in comparison with locally moderate temperatures (25th-75th percentile). Stratified analysis showed no statistical significances within the effect modifiers.</p><p><strong>Discussion: </strong>Based on a large-scale live birth record, the study suggested that exposure to air pollutants, mainly <math><mrow><mrow><msub><mrow><mrow><mi>NO</mi></mrow></mrow><mn>2</mn></msub></mrow></mrow></math>, during pregnancy may be a substantial risk factor for placental abruption. https://doi.org/10.1289/EHP14714.</p>","PeriodicalId":11862,"journal":{"name":"Environmental Health Perspectives","volume":" ","pages":"47013"},"PeriodicalIF":10.1000,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12042270/pdf/","citationCount":"0","resultStr":"{\"title\":\"Association of Ambient Air Pollution and Temperature Exposure with Placental Abruption: A Nested Case-Control Study Based on Live Birth Registrations.\",\"authors\":\"Tong Wang, Wenzheng Zhou, Han Liu, Yu Zhan, Die Tang, Ying Guo, Chenran Yin, Dongyan Wu, Yayun Cao, Xi Ling, Huan Yang, Niya Zhou, Jia Cao, Wei Zhou, Qing Chen\",\"doi\":\"10.1289/EHP14714\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Placental abruption, a rare disorder of unclear etiology, lacks evidence to illustrate its relationship with exposure to air pollution and temperature.</p><p><strong>Objective: </strong>This study aimed to investigate the association between exposure to ambient pollutants and temperatures and placental abruption to identify susceptible time windows and subpopulations.</p><p><strong>Methods: </strong>A nested case-control study was based on a live birth registration database in Chongqing, the largest Chinese municipality in China, from 2018 to 2022. The placental abruption cases were each matched with four controls by maternal age at delivery, gestational week, gravidity, parity, and delivery date. Six ambient pollutants [particulate matter (PM) with aerodynamic diameter <math><mrow><mo>≤</mo><mn>2.5</mn><mspace></mspace><mi>μ</mi><mi>m</mi></mrow></math> (<math><mrow><mrow><msub><mrow><mrow><mi>PM</mi></mrow></mrow><mrow><mn>2.5</mn></mrow></msub></mrow></mrow></math>), PM with aerodynamic diameter <math><mrow><mo>≤</mo><mn>10</mn><mspace></mspace><mi>μ</mi><mi>m</mi></mrow></math> (<math><mrow><mrow><msub><mrow><mrow><mi>PM</mi></mrow></mrow><mrow><mn>10</mn></mrow></msub></mrow></mrow></math>), <math><mrow><mrow><msub><mrow><mrow><mi>NO</mi></mrow></mrow><mn>2</mn></msub></mrow></mrow></math>, CO, <math><mrow><mrow><msub><mrow><mi>O</mi></mrow><mn>3</mn></msub></mrow></mrow></math>, and <math><mrow><mrow><msub><mrow><mrow><mi>SO</mi></mrow></mrow><mn>2</mn></msub></mrow></mrow></math>] and temperature were estimated using machine learning algorithms. A conditional logistic regression model analyzed associations of exposure to air pollution and temperature with placental abruption in five time windows (prepregnancy, the entire pregnancy, and each of the 3 trimesters). Stratification analyses were applied to examine potential modifiers including gravidity, parity, mothers' residential area (urban/rural), pandemic experience, and delivery season.</p><p><strong>Results: </strong>After data quality control, 798 cases were identified and matched with 3,192 controls. An exposure relationship was identified between <math><mrow><mrow><msub><mrow><mrow><mi>NO</mi></mrow></mrow><mn>2</mn></msub></mrow></mrow></math> during the pregnancy period and placental abruption (<math><mrow><mi>p</mi><mo><</mo><mn>0.001</mn></mrow></math>). In comparison with the first quartile level of <math><mrow><mrow><msub><mrow><mrow><mi>NO</mi></mrow></mrow><mn>2</mn></msub></mrow></mrow></math>, the odds ratios (ORs) of abruption associated with exposure to the second, third, and fourth quartile levels of <math><mrow><mrow><msub><mrow><mrow><mi>NO</mi></mrow></mrow><mn>2</mn></msub></mrow></mrow></math> were 1.42 [95% confidence interval (CI): 1.03, 1.96], 1.90 (95% CI: 1.30, 2.76), and 2.27 (95% CI: 1.39, 3.71), respectively. The association for <math><mrow><mrow><msub><mrow><mrow><mi>NO</mi></mrow></mrow><mn>2</mn></msub></mrow></mrow></math> exposure existed in the 3 trimesters but not prepregnancy. Exposure to locally extreme low temperatures (<math><mrow><mo><</mo><mtext>fifth</mtext></mrow></math> percentile) in the third trimester was associated with increased risks of abruption (<math><mrow><mtext>OR</mtext><mo>=</mo><mn>3.68</mn></mrow></math>; 95% CI: 1.67, 8.08) in comparison with locally moderate temperatures (25th-75th percentile). Stratified analysis showed no statistical significances within the effect modifiers.</p><p><strong>Discussion: </strong>Based on a large-scale live birth record, the study suggested that exposure to air pollutants, mainly <math><mrow><mrow><msub><mrow><mrow><mi>NO</mi></mrow></mrow><mn>2</mn></msub></mrow></mrow></math>, during pregnancy may be a substantial risk factor for placental abruption. https://doi.org/10.1289/EHP14714.</p>\",\"PeriodicalId\":11862,\"journal\":{\"name\":\"Environmental Health Perspectives\",\"volume\":\" \",\"pages\":\"47013\"},\"PeriodicalIF\":10.1000,\"publicationDate\":\"2025-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12042270/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Environmental Health Perspectives\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://doi.org/10.1289/EHP14714\",\"RegionNum\":1,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/4/29 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Health Perspectives","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1289/EHP14714","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/4/29 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Association of Ambient Air Pollution and Temperature Exposure with Placental Abruption: A Nested Case-Control Study Based on Live Birth Registrations.
Background: Placental abruption, a rare disorder of unclear etiology, lacks evidence to illustrate its relationship with exposure to air pollution and temperature.
Objective: This study aimed to investigate the association between exposure to ambient pollutants and temperatures and placental abruption to identify susceptible time windows and subpopulations.
Methods: A nested case-control study was based on a live birth registration database in Chongqing, the largest Chinese municipality in China, from 2018 to 2022. The placental abruption cases were each matched with four controls by maternal age at delivery, gestational week, gravidity, parity, and delivery date. Six ambient pollutants [particulate matter (PM) with aerodynamic diameter (), PM with aerodynamic diameter (), , CO, , and ] and temperature were estimated using machine learning algorithms. A conditional logistic regression model analyzed associations of exposure to air pollution and temperature with placental abruption in five time windows (prepregnancy, the entire pregnancy, and each of the 3 trimesters). Stratification analyses were applied to examine potential modifiers including gravidity, parity, mothers' residential area (urban/rural), pandemic experience, and delivery season.
Results: After data quality control, 798 cases were identified and matched with 3,192 controls. An exposure relationship was identified between during the pregnancy period and placental abruption (). In comparison with the first quartile level of , the odds ratios (ORs) of abruption associated with exposure to the second, third, and fourth quartile levels of were 1.42 [95% confidence interval (CI): 1.03, 1.96], 1.90 (95% CI: 1.30, 2.76), and 2.27 (95% CI: 1.39, 3.71), respectively. The association for exposure existed in the 3 trimesters but not prepregnancy. Exposure to locally extreme low temperatures ( percentile) in the third trimester was associated with increased risks of abruption (; 95% CI: 1.67, 8.08) in comparison with locally moderate temperatures (25th-75th percentile). Stratified analysis showed no statistical significances within the effect modifiers.
Discussion: Based on a large-scale live birth record, the study suggested that exposure to air pollutants, mainly , during pregnancy may be a substantial risk factor for placental abruption. https://doi.org/10.1289/EHP14714.
期刊介绍:
Environmental Health Perspectives (EHP) is a monthly peer-reviewed journal supported by the National Institute of Environmental Health Sciences, part of the National Institutes of Health under the U.S. Department of Health and Human Services. Its mission is to facilitate discussions on the connections between the environment and human health by publishing top-notch research and news. EHP ranks third in Public, Environmental, and Occupational Health, fourth in Toxicology, and fifth in Environmental Sciences.