Sara E. Grineski , Kevin Ramos , Roger Renteria , Timothy W. Collins , James VanDerslice , Deborah Bilder , Amanda Bakian
{"title":"几代人接触污染工业和发育障碍","authors":"Sara E. Grineski , Kevin Ramos , Roger Renteria , Timothy W. Collins , James VanDerslice , Deborah Bilder , Amanda Bakian","doi":"10.1016/j.scitotenv.2025.179888","DOIUrl":null,"url":null,"abstract":"<div><div>Animal models suggest that environmental exposures can impact future generations of offspring. Yet, there are limited human epidemiological studies of multigenerational environmental exposures, and even fewer such studies of maternal and paternal exposures. Leveraging a unique data resource in Utah (USA), we examine if offspring (F2, <em>n</em> = 6380) are at increased risk of intellectual disability (ID) if the mother or father (F1) were exposed to polluting industrial facilities while their own mothers (F0) were pregnant. We obtained historical data on polluting industry locations and calculated facility densities within 3 km and 5 km of each child's (F2) grandmothers' (F0) residential addresses at time of their mothers' and fathers' (F1) births as well as their mother's address at the time of their birth. We weighted those counts by pairing industry codes with national Risk-Screening Environmental Indicators health risk scores. One standard deviation (SD) increase in the density of facilities near the pregnant maternal grandmother was associated with 1.12 (1.03–1.22) and 1.09 (1.003–1.19) times greater odds of ID at 3 km and 5 km, respectively. Weighing these facility densities by risk, odds ratios associated with SD increases were 1.12 (1.04–1.20, 3 km) and 1.08 (1.003–1.17, 5 km). Associations with facility densities near the pregnant paternal grandmother were positive but weak. Associations with risk-weighted facility density near the pregnant paternal grandmother were stronger at 5 km (1.12, 1.02–1.22) than at 3 km. Results indicated that ancestral exposures, particularly when the maternal grandmother (F0) was pregnant with the mother (F1), may increase risks of developmental disabilities in the next generation (F2).</div></div>","PeriodicalId":422,"journal":{"name":"Science of the Total Environment","volume":"989 ","pages":"Article 179888"},"PeriodicalIF":8.0000,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multigenerational exposures to polluting industries and developmental disabilities\",\"authors\":\"Sara E. Grineski , Kevin Ramos , Roger Renteria , Timothy W. Collins , James VanDerslice , Deborah Bilder , Amanda Bakian\",\"doi\":\"10.1016/j.scitotenv.2025.179888\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Animal models suggest that environmental exposures can impact future generations of offspring. Yet, there are limited human epidemiological studies of multigenerational environmental exposures, and even fewer such studies of maternal and paternal exposures. Leveraging a unique data resource in Utah (USA), we examine if offspring (F2, <em>n</em> = 6380) are at increased risk of intellectual disability (ID) if the mother or father (F1) were exposed to polluting industrial facilities while their own mothers (F0) were pregnant. We obtained historical data on polluting industry locations and calculated facility densities within 3 km and 5 km of each child's (F2) grandmothers' (F0) residential addresses at time of their mothers' and fathers' (F1) births as well as their mother's address at the time of their birth. We weighted those counts by pairing industry codes with national Risk-Screening Environmental Indicators health risk scores. One standard deviation (SD) increase in the density of facilities near the pregnant maternal grandmother was associated with 1.12 (1.03–1.22) and 1.09 (1.003–1.19) times greater odds of ID at 3 km and 5 km, respectively. Weighing these facility densities by risk, odds ratios associated with SD increases were 1.12 (1.04–1.20, 3 km) and 1.08 (1.003–1.17, 5 km). Associations with facility densities near the pregnant paternal grandmother were positive but weak. Associations with risk-weighted facility density near the pregnant paternal grandmother were stronger at 5 km (1.12, 1.02–1.22) than at 3 km. Results indicated that ancestral exposures, particularly when the maternal grandmother (F0) was pregnant with the mother (F1), may increase risks of developmental disabilities in the next generation (F2).</div></div>\",\"PeriodicalId\":422,\"journal\":{\"name\":\"Science of the Total Environment\",\"volume\":\"989 \",\"pages\":\"Article 179888\"},\"PeriodicalIF\":8.0000,\"publicationDate\":\"2025-06-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Science of the Total Environment\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0048969725015293\",\"RegionNum\":1,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Science of the Total Environment","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0048969725015293","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Multigenerational exposures to polluting industries and developmental disabilities
Animal models suggest that environmental exposures can impact future generations of offspring. Yet, there are limited human epidemiological studies of multigenerational environmental exposures, and even fewer such studies of maternal and paternal exposures. Leveraging a unique data resource in Utah (USA), we examine if offspring (F2, n = 6380) are at increased risk of intellectual disability (ID) if the mother or father (F1) were exposed to polluting industrial facilities while their own mothers (F0) were pregnant. We obtained historical data on polluting industry locations and calculated facility densities within 3 km and 5 km of each child's (F2) grandmothers' (F0) residential addresses at time of their mothers' and fathers' (F1) births as well as their mother's address at the time of their birth. We weighted those counts by pairing industry codes with national Risk-Screening Environmental Indicators health risk scores. One standard deviation (SD) increase in the density of facilities near the pregnant maternal grandmother was associated with 1.12 (1.03–1.22) and 1.09 (1.003–1.19) times greater odds of ID at 3 km and 5 km, respectively. Weighing these facility densities by risk, odds ratios associated with SD increases were 1.12 (1.04–1.20, 3 km) and 1.08 (1.003–1.17, 5 km). Associations with facility densities near the pregnant paternal grandmother were positive but weak. Associations with risk-weighted facility density near the pregnant paternal grandmother were stronger at 5 km (1.12, 1.02–1.22) than at 3 km. Results indicated that ancestral exposures, particularly when the maternal grandmother (F0) was pregnant with the mother (F1), may increase risks of developmental disabilities in the next generation (F2).
期刊介绍:
The Science of the Total Environment is an international journal dedicated to scientific research on the environment and its interaction with humanity. It covers a wide range of disciplines and seeks to publish innovative, hypothesis-driven, and impactful research that explores the entire environment, including the atmosphere, lithosphere, hydrosphere, biosphere, and anthroposphere.
The journal's updated Aims & Scope emphasizes the importance of interdisciplinary environmental research with broad impact. Priority is given to studies that advance fundamental understanding and explore the interconnectedness of multiple environmental spheres. Field studies are preferred, while laboratory experiments must demonstrate significant methodological advancements or mechanistic insights with direct relevance to the environment.