Identifying urban built environment factors in pregnancy care and maternal mental health outcomes

Abstract Backgrounds Risk factors related to the built environment have been associated with women’s mental health and preventive care. This study sought to identify built environment factors that are associated with variations in prenatal care and subsequent pregnancy-related outcomes in an urban s...

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Main Authors: Yiye Zhang, Mohammad Tayarani, Shuojia Wang, Yifan Liu, Mohit Sharma, Rochelle Joly, Arindam RoyChoudhury, Alison Hermann, Oliver H. Gao, Jyotishman Pathak
Format: Article
Language:English
Published: BMC 2021-09-01
Series:BMC Pregnancy and Childbirth
Subjects:
Online Access:https://doi.org/10.1186/s12884-021-04056-1
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spelling doaj-0e0e9756db324283bc6a7942613a8c332021-09-05T11:41:45ZengBMCBMC Pregnancy and Childbirth1471-23932021-09-0121111110.1186/s12884-021-04056-1Identifying urban built environment factors in pregnancy care and maternal mental health outcomesYiye Zhang0Mohammad Tayarani1Shuojia Wang2Yifan Liu3Mohit Sharma4Rochelle Joly5Arindam RoyChoudhury6Alison Hermann7Oliver H. Gao8Jyotishman Pathak9Department of Population Health Sciences, Weill Cornell MedicineSchool of Civil and Environmental Engineering, Cornell UniversityTencent Jarvis LabDepartment of Population Health Sciences, Weill Cornell MedicineDepartment of Population Health Sciences, Weill Cornell MedicineDepartment of Obstetrics and Gynecology, Weill Cornell MedicineDepartment of Population Health Sciences, Weill Cornell MedicineDepartment of Psychiatry, Weill Cornell MedicineSchool of Civil and Environmental Engineering, Cornell UniversityDepartment of Population Health Sciences, Weill Cornell MedicineAbstract Backgrounds Risk factors related to the built environment have been associated with women’s mental health and preventive care. This study sought to identify built environment factors that are associated with variations in prenatal care and subsequent pregnancy-related outcomes in an urban setting. Methods In a retrospective observational study, we characterized the types and frequency of prenatal care events that are associated with the various built environment factors of the patients’ residing neighborhoods. In comparison to women living in higher-quality built environments, we hypothesize that women who reside in lower-quality built environments experience different patterns of clinical events that may increase the risk for adverse outcomes. Using machine learning, we performed pattern detection to characterize the variability in prenatal care concerning encounter types, clinical problems, and medication prescriptions. Structural equation modeling was used to test the associations among built environment, prenatal care variation, and pregnancy outcome. The main outcome is postpartum depression (PPD) diagnosis within 1 year following childbirth. The exposures were the quality of the built environment in the patients’ residing neighborhoods. Electronic health records (EHR) data of pregnant women (n = 8,949) who had live delivery at an urban academic medical center from 2015 to 2017 were included in the study. Results We discovered prenatal care patterns that were summarized into three common types. Women who experienced the prenatal care pattern with the highest rates of PPD were more likely to reside in neighborhoods with homogeneous land use, lower walkability, lower air pollutant concentration, and lower retail floor ratios after adjusting for age, neighborhood average education level, marital status, and income inequality. Conclusions In an urban setting, multi-purpose and walkable communities were found to be associated with a lower risk of PPD. Findings may inform urban design policies and provide awareness for care providers on the association of patients’ residing neighborhoods and healthy pregnancy.https://doi.org/10.1186/s12884-021-04056-1Pregnancy carePostpartum depressionBuilt environment
collection DOAJ
language English
format Article
sources DOAJ
author Yiye Zhang
Mohammad Tayarani
Shuojia Wang
Yifan Liu
Mohit Sharma
Rochelle Joly
Arindam RoyChoudhury
Alison Hermann
Oliver H. Gao
Jyotishman Pathak
spellingShingle Yiye Zhang
Mohammad Tayarani
Shuojia Wang
Yifan Liu
Mohit Sharma
Rochelle Joly
Arindam RoyChoudhury
Alison Hermann
Oliver H. Gao
Jyotishman Pathak
Identifying urban built environment factors in pregnancy care and maternal mental health outcomes
BMC Pregnancy and Childbirth
Pregnancy care
Postpartum depression
Built environment
author_facet Yiye Zhang
Mohammad Tayarani
Shuojia Wang
Yifan Liu
Mohit Sharma
Rochelle Joly
Arindam RoyChoudhury
Alison Hermann
Oliver H. Gao
Jyotishman Pathak
author_sort Yiye Zhang
title Identifying urban built environment factors in pregnancy care and maternal mental health outcomes
title_short Identifying urban built environment factors in pregnancy care and maternal mental health outcomes
title_full Identifying urban built environment factors in pregnancy care and maternal mental health outcomes
title_fullStr Identifying urban built environment factors in pregnancy care and maternal mental health outcomes
title_full_unstemmed Identifying urban built environment factors in pregnancy care and maternal mental health outcomes
title_sort identifying urban built environment factors in pregnancy care and maternal mental health outcomes
publisher BMC
series BMC Pregnancy and Childbirth
issn 1471-2393
publishDate 2021-09-01
description Abstract Backgrounds Risk factors related to the built environment have been associated with women’s mental health and preventive care. This study sought to identify built environment factors that are associated with variations in prenatal care and subsequent pregnancy-related outcomes in an urban setting. Methods In a retrospective observational study, we characterized the types and frequency of prenatal care events that are associated with the various built environment factors of the patients’ residing neighborhoods. In comparison to women living in higher-quality built environments, we hypothesize that women who reside in lower-quality built environments experience different patterns of clinical events that may increase the risk for adverse outcomes. Using machine learning, we performed pattern detection to characterize the variability in prenatal care concerning encounter types, clinical problems, and medication prescriptions. Structural equation modeling was used to test the associations among built environment, prenatal care variation, and pregnancy outcome. The main outcome is postpartum depression (PPD) diagnosis within 1 year following childbirth. The exposures were the quality of the built environment in the patients’ residing neighborhoods. Electronic health records (EHR) data of pregnant women (n = 8,949) who had live delivery at an urban academic medical center from 2015 to 2017 were included in the study. Results We discovered prenatal care patterns that were summarized into three common types. Women who experienced the prenatal care pattern with the highest rates of PPD were more likely to reside in neighborhoods with homogeneous land use, lower walkability, lower air pollutant concentration, and lower retail floor ratios after adjusting for age, neighborhood average education level, marital status, and income inequality. Conclusions In an urban setting, multi-purpose and walkable communities were found to be associated with a lower risk of PPD. Findings may inform urban design policies and provide awareness for care providers on the association of patients’ residing neighborhoods and healthy pregnancy.
topic Pregnancy care
Postpartum depression
Built environment
url https://doi.org/10.1186/s12884-021-04056-1
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