{"title":"北卡罗莱纳队列中社区绿化与出生结果之间的关系。","authors":"Wei-Lun Tsai, Thomas J Luben, Kristen M Rappazzo","doi":"10.1038/s41370-025-00780-4","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Higher levels of neighborhood greenery have been associated with improved birth outcomes. However, many studies use metrics relying on vegetation density and are not able to distinguish types of greenery or spatial context, which may result in variation in potential benefits.</p><p><strong>Objective: </strong>We examined relationships between term low birth weight (TLBW) and preterm birth (PTB), and different types of neighborhood greenery (i.e., tree cover, herbaceous cover, and aggregate greenery) within various spatial contexts (i.e., Euclidean distance and network distance-based buffers, and busy roadways to represent overall, street, and near-road greenery).</p><p><strong>Methods: </strong>North Carolina birth registry data from 2003 to 2015 were used to create a singleton live birth cohort and linked to greenery metrics from EnviroAtlas. Logistic regression models were used to estimate OR (95%CI) for associations between greenery metrics and TLBW (<2500 g) or PTB (<37 weeks gestational age) adjusting for potential confounders. Analyses were stratified by race/ethnicity, as many studies report potential differences in proximity to greenery across these groups.</p><p><strong>Results: </strong>We observed modest associations between multiple measures of neighborhood greenery and TLBW and PTB. Most of our results indicated a decreased odds of adverse birth outcomes with increasing levels of neighborhood greenery, but some associations showed increased odds of adverse birth outcomes. We observed the strongest associations between overall aggregate greenery with TLBW (0.967 [0.939, 0.996]) and near-road tree cover with PTB (0.985 [0.971, 0.999]). We also observed unexpected associations between increased greenway density and TLBW among non-Hispanic Black mothers (1.181 [1.049, 1.326]). In contrast, we observed a decreased odds of PTB associated with increased greenway density for non-Hispanic white mothers (0.926 [0.871, 0.983]).</p><p><strong>Impact statement: </strong>We examined relationships between adverse birth outcomes and different types of neighborhood greenery, generally finding decreased odds of adverse birth outcomes with increasing levels of neighborhood greenery, with the strongest associations between aggregate greenery based on the Euclidean distance and decreased odds of term low birth weight. However, we also observed unexpected associations with increased greenway density and increased term low birth weight among non-Hispanic Black mothers. These results highlight the importance of considering the ways greenspace may or may not benefit some communities and will be important in guiding future efforts to increase instorative value or restore neighborhood greenspaces.</p>","PeriodicalId":15684,"journal":{"name":"Journal of Exposure Science and Environmental Epidemiology","volume":" ","pages":""},"PeriodicalIF":4.1000,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Associations between neighborhood greenery and birth outcomes in a North Carolina cohort.\",\"authors\":\"Wei-Lun Tsai, Thomas J Luben, Kristen M Rappazzo\",\"doi\":\"10.1038/s41370-025-00780-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Higher levels of neighborhood greenery have been associated with improved birth outcomes. However, many studies use metrics relying on vegetation density and are not able to distinguish types of greenery or spatial context, which may result in variation in potential benefits.</p><p><strong>Objective: </strong>We examined relationships between term low birth weight (TLBW) and preterm birth (PTB), and different types of neighborhood greenery (i.e., tree cover, herbaceous cover, and aggregate greenery) within various spatial contexts (i.e., Euclidean distance and network distance-based buffers, and busy roadways to represent overall, street, and near-road greenery).</p><p><strong>Methods: </strong>North Carolina birth registry data from 2003 to 2015 were used to create a singleton live birth cohort and linked to greenery metrics from EnviroAtlas. Logistic regression models were used to estimate OR (95%CI) for associations between greenery metrics and TLBW (<2500 g) or PTB (<37 weeks gestational age) adjusting for potential confounders. Analyses were stratified by race/ethnicity, as many studies report potential differences in proximity to greenery across these groups.</p><p><strong>Results: </strong>We observed modest associations between multiple measures of neighborhood greenery and TLBW and PTB. Most of our results indicated a decreased odds of adverse birth outcomes with increasing levels of neighborhood greenery, but some associations showed increased odds of adverse birth outcomes. We observed the strongest associations between overall aggregate greenery with TLBW (0.967 [0.939, 0.996]) and near-road tree cover with PTB (0.985 [0.971, 0.999]). We also observed unexpected associations between increased greenway density and TLBW among non-Hispanic Black mothers (1.181 [1.049, 1.326]). In contrast, we observed a decreased odds of PTB associated with increased greenway density for non-Hispanic white mothers (0.926 [0.871, 0.983]).</p><p><strong>Impact statement: </strong>We examined relationships between adverse birth outcomes and different types of neighborhood greenery, generally finding decreased odds of adverse birth outcomes with increasing levels of neighborhood greenery, with the strongest associations between aggregate greenery based on the Euclidean distance and decreased odds of term low birth weight. However, we also observed unexpected associations with increased greenway density and increased term low birth weight among non-Hispanic Black mothers. These results highlight the importance of considering the ways greenspace may or may not benefit some communities and will be important in guiding future efforts to increase instorative value or restore neighborhood greenspaces.</p>\",\"PeriodicalId\":15684,\"journal\":{\"name\":\"Journal of Exposure Science and Environmental Epidemiology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":4.1000,\"publicationDate\":\"2025-05-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Exposure Science and Environmental Epidemiology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1038/s41370-025-00780-4\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Exposure Science and Environmental Epidemiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1038/s41370-025-00780-4","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Associations between neighborhood greenery and birth outcomes in a North Carolina cohort.
Background: Higher levels of neighborhood greenery have been associated with improved birth outcomes. However, many studies use metrics relying on vegetation density and are not able to distinguish types of greenery or spatial context, which may result in variation in potential benefits.
Objective: We examined relationships between term low birth weight (TLBW) and preterm birth (PTB), and different types of neighborhood greenery (i.e., tree cover, herbaceous cover, and aggregate greenery) within various spatial contexts (i.e., Euclidean distance and network distance-based buffers, and busy roadways to represent overall, street, and near-road greenery).
Methods: North Carolina birth registry data from 2003 to 2015 were used to create a singleton live birth cohort and linked to greenery metrics from EnviroAtlas. Logistic regression models were used to estimate OR (95%CI) for associations between greenery metrics and TLBW (<2500 g) or PTB (<37 weeks gestational age) adjusting for potential confounders. Analyses were stratified by race/ethnicity, as many studies report potential differences in proximity to greenery across these groups.
Results: We observed modest associations between multiple measures of neighborhood greenery and TLBW and PTB. Most of our results indicated a decreased odds of adverse birth outcomes with increasing levels of neighborhood greenery, but some associations showed increased odds of adverse birth outcomes. We observed the strongest associations between overall aggregate greenery with TLBW (0.967 [0.939, 0.996]) and near-road tree cover with PTB (0.985 [0.971, 0.999]). We also observed unexpected associations between increased greenway density and TLBW among non-Hispanic Black mothers (1.181 [1.049, 1.326]). In contrast, we observed a decreased odds of PTB associated with increased greenway density for non-Hispanic white mothers (0.926 [0.871, 0.983]).
Impact statement: We examined relationships between adverse birth outcomes and different types of neighborhood greenery, generally finding decreased odds of adverse birth outcomes with increasing levels of neighborhood greenery, with the strongest associations between aggregate greenery based on the Euclidean distance and decreased odds of term low birth weight. However, we also observed unexpected associations with increased greenway density and increased term low birth weight among non-Hispanic Black mothers. These results highlight the importance of considering the ways greenspace may or may not benefit some communities and will be important in guiding future efforts to increase instorative value or restore neighborhood greenspaces.
期刊介绍:
Journal of Exposure Science and Environmental Epidemiology (JESEE) aims to be the premier and authoritative source of information on advances in exposure science for professionals in a wide range of environmental and public health disciplines.
JESEE publishes original peer-reviewed research presenting significant advances in exposure science and exposure analysis, including development and application of the latest technologies for measuring exposures, and innovative computational approaches for translating novel data streams to characterize and predict exposures. The types of papers published in the research section of JESEE are original research articles, translation studies, and correspondence. Reported results should further understanding of the relationship between environmental exposure and human health, describe evaluated novel exposure science tools, or demonstrate potential of exposure science to enable decisions and actions that promote and protect human health.