Surrounding greenness is associated with lower risk and burden of low birth weight in Iran

Detalhes bibliográficos
Autor(a) principal: Luo, Siqi
Data de Publicação: 2023
Outros Autores: Wang, Yaqi, Mayvaneh, Fatemeh, Relvas, Hélder, Baaghideh, Mohammad, Wang, Kai, Yuan, Yang, Yin, Zhouxin, Zhang, Yunquan
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10773/40377
Resumo: The nexus between prenatal greenspace exposure and low birth weight (LBW) remains largely unstudied in low- and middle-income countries (LMICs). We investigated a nationwide retrospective cohort of 4,021,741 live births (263,728 LBW births) across 31 provinces in Iran during 2013-2018. Greenness exposure during pregnancy was assessed using satellite-based normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI). We estimated greenness-LBW associations using multiple logistic models, and quantified avoidable LBW cases under scenarios of improved greenspace through counterfactual analyses. Association analyses provide consistent evidence for approximately L-shaped exposure-response functions, linking 7.0-11.5% declines in the odds of LBW to each 0.1-unit rise in NDVI/EVI with multiple buffers. Assuming causality, 3931-5099 LBW births can be avoided by achieving greenness targets of mean NDVI/EVI, amounting to 4.4-5.6% of total LBW births in 2015. Our findings suggest potential health benefits of improved greenspace in lowering LBW risk and burden in LMICs.
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spelling Surrounding greenness is associated with lower risk and burden of low birth weight in IranThe nexus between prenatal greenspace exposure and low birth weight (LBW) remains largely unstudied in low- and middle-income countries (LMICs). We investigated a nationwide retrospective cohort of 4,021,741 live births (263,728 LBW births) across 31 provinces in Iran during 2013-2018. Greenness exposure during pregnancy was assessed using satellite-based normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI). We estimated greenness-LBW associations using multiple logistic models, and quantified avoidable LBW cases under scenarios of improved greenspace through counterfactual analyses. Association analyses provide consistent evidence for approximately L-shaped exposure-response functions, linking 7.0-11.5% declines in the odds of LBW to each 0.1-unit rise in NDVI/EVI with multiple buffers. Assuming causality, 3931-5099 LBW births can be avoided by achieving greenness targets of mean NDVI/EVI, amounting to 4.4-5.6% of total LBW births in 2015. Our findings suggest potential health benefits of improved greenspace in lowering LBW risk and burden in LMICs.Springer Nature2024-01-30T12:05:48Z2023-11-21T00:00:00Z2023-11-21info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10773/40377eng2041-172310.1038/s41467-023-43425-6Luo, SiqiWang, YaqiMayvaneh, FatemehRelvas, HélderBaaghideh, MohammadWang, KaiYuan, YangYin, ZhouxinZhang, Yunquaninfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-22T12:19:07Zoai:ria.ua.pt:10773/40377Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:10:25.269859Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Surrounding greenness is associated with lower risk and burden of low birth weight in Iran
title Surrounding greenness is associated with lower risk and burden of low birth weight in Iran
spellingShingle Surrounding greenness is associated with lower risk and burden of low birth weight in Iran
Luo, Siqi
title_short Surrounding greenness is associated with lower risk and burden of low birth weight in Iran
title_full Surrounding greenness is associated with lower risk and burden of low birth weight in Iran
title_fullStr Surrounding greenness is associated with lower risk and burden of low birth weight in Iran
title_full_unstemmed Surrounding greenness is associated with lower risk and burden of low birth weight in Iran
title_sort Surrounding greenness is associated with lower risk and burden of low birth weight in Iran
author Luo, Siqi
author_facet Luo, Siqi
Wang, Yaqi
Mayvaneh, Fatemeh
Relvas, Hélder
Baaghideh, Mohammad
Wang, Kai
Yuan, Yang
Yin, Zhouxin
Zhang, Yunquan
author_role author
author2 Wang, Yaqi
Mayvaneh, Fatemeh
Relvas, Hélder
Baaghideh, Mohammad
Wang, Kai
Yuan, Yang
Yin, Zhouxin
Zhang, Yunquan
author2_role author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Luo, Siqi
Wang, Yaqi
Mayvaneh, Fatemeh
Relvas, Hélder
Baaghideh, Mohammad
Wang, Kai
Yuan, Yang
Yin, Zhouxin
Zhang, Yunquan
description The nexus between prenatal greenspace exposure and low birth weight (LBW) remains largely unstudied in low- and middle-income countries (LMICs). We investigated a nationwide retrospective cohort of 4,021,741 live births (263,728 LBW births) across 31 provinces in Iran during 2013-2018. Greenness exposure during pregnancy was assessed using satellite-based normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI). We estimated greenness-LBW associations using multiple logistic models, and quantified avoidable LBW cases under scenarios of improved greenspace through counterfactual analyses. Association analyses provide consistent evidence for approximately L-shaped exposure-response functions, linking 7.0-11.5% declines in the odds of LBW to each 0.1-unit rise in NDVI/EVI with multiple buffers. Assuming causality, 3931-5099 LBW births can be avoided by achieving greenness targets of mean NDVI/EVI, amounting to 4.4-5.6% of total LBW births in 2015. Our findings suggest potential health benefits of improved greenspace in lowering LBW risk and burden in LMICs.
publishDate 2023
dc.date.none.fl_str_mv 2023-11-21T00:00:00Z
2023-11-21
2024-01-30T12:05:48Z
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url http://hdl.handle.net/10773/40377
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10.1038/s41467-023-43425-6
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