Evidence map›Paper›PMID 34481472›Full record

Observational studyBMC pregnancy and childbirth2021

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

Yiye Zhang, Mohammad Tayarani, Shuojia Wang, Yifan Liu, Mohit Sharma, Rochelle Joly, Arindam RoyChoudhury, Alison Hermann, Oliver H Gao, Jyotishman Pathak

Abstract readComparative StudyObservational Study
In one paragraph

Observational study in BMC pregnancy and childbirth, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Yiye ZhangDepartment of Population Health Sciences, Weill Cornell Medicine, 425 East 61st Street, NY, New York, USA. yiz2014@med.cornell.edu.
Mohammad TayaraniSchool of Civil and Environmental Engineering, Cornell University, Ithaca, NY, USA.
Shuojia WangTencent Jarvis Lab, Shenzhen Guangdong, China.
Yifan LiuDepartment of Population Health Sciences, Weill Cornell Medicine, 425 East 61st Street, NY, New York, USA.
Mohit SharmaDepartment of Population Health Sciences, Weill Cornell Medicine, 425 East 61st Street, NY, New York, USA.
Rochelle JolyDepartment of Obstetrics and Gynecology, Weill Cornell Medicine, New York, NY, USA.
Arindam RoyChoudhuryDepartment of Population Health Sciences, Weill Cornell Medicine, 425 East 61st Street, NY, New York, USA.
Alison HermannDepartment of Psychiatry, Weill Cornell Medicine, New York, NY, USA.
Oliver H GaoSchool of Civil and Environmental Engineering, Cornell University, Ithaca, NY, USA.
Jyotishman PathakDepartment of Population Health Sciences, Weill Cornell Medicine, 425 East 61st Street, NY, New York, USA.

Funding

National Infrastructure for Standardized and Portable EHR Phenotyping AlgorithmsR01GM105688 · NIGMS · WEILL MEDICAL COLL OF CORNELL UNIV · PI LUO, YUAN, PATHAK, JYOTISHMAN · 2013 to 2020
$5.7M
Using claims data to study the association between Alzheimer's disease and suicidal behaviorsR01MH119177 · NIMH · WEILL MEDICAL COLL OF CORNELL UNIV · PI PATHAK, JYOTISHMAN · 2019 to 2022
$3.3M
4/4: Leveraging EHR-linked biobanks for deep phenotyping, polygenic risk score modeling, and outcomes analysis in psychiatric disordersR01MH121922 · NIMH · WEILL MEDICAL COLL OF CORNELL UNIV · PI PATHAK, JYOTISHMAN · 2019 to 2023
$2.0M
Risk modeling and shared decision making for postpartum depressionR41MH124581 · NIMH · IRIS OB HEALTH INC. · PI LASKOFF, MICHAEL B., PATHAK, JYOTISHMAN · 2021 to 2022
$1.0M
NIGMS NIH HHS R01 GM105688NIMH NIH HHS R01 MH119177NIMH NIH HHS R01 MH121922NIMH NIH HHS R41 MH124581
6 · The paper itself

Abstract

backgroundsRisk 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.

methodsIn 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.

resultsWe 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.

conclusionsIn 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.

Indexed as

AdultBuilt EnvironmentDepression, PostpartumFemaleHumansMachine LearningMental HealthNew York CityPregnancyPregnancy OutcomePregnant PeoplePrenatal CareResidence CharacteristicsRetrospective StudiesUrban PopulationWomen's HealthBuilt environmentPostpartum depressionPregnancy care

Identifiers

PMID34481472
PMCPMC8417675

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.