Evidence map›Paper›PMID 30632180›Full record

ArticlePaediatric and perinatal epidemiology2019

Neighbourhood assets and early pregnancy cardiometabolic risk factors.

Vanessa Assibey-Mensah, Anthony Fabio, Dara D Mendez, Pei-Chen Lee, James M Roberts, Janet M Catov

Abstract read
In one paragraph

Article in Paediatric and perinatal epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

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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

6 authors.

Vanessa Assibey-MensahDepartment of Obstetrics, Gynecology, and Reproductive Sciences, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.ORCID 0000-0002-4836-9486
Anthony FabioGraduate School of Public Health, Department of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania.
Dara D MendezGraduate School of Public Health, Department of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania.
Pei-Chen LeeGraduate School of Public Health, Department of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania.
James M RobertsDepartment of Obstetrics, Gynecology, and Reproductive Sciences, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.
Janet M CatovDepartment of Obstetrics, Gynecology, and Reproductive Sciences, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.

Funding

TROPHOBLAST PRODUCTS IN GENESIS OF PREECLAMPSIAP01HD030367 · NICHD · MAGEE-WOMEN'S RES INST AND FOUNDATION · PI HUBEL, CARL A · 1993 to 2012
$17.2M
Large Scale Natural Experiment of Community Economic Development: Effects on VioU01CE001630 · CE · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI FABIO, ANTHONY · 2009 to 2013
$1.0M
American Heart Association AHA16SFRN27810001American Heart Association AHA 16SFRN28930000American Heart Association-American Stroke Association 16SFRN27810001NCIPC CDC HHS U01 CE001630NICHD NIH HHS P01 HD030367
6 · The paper itself

Abstract

backgroundPrepregnancy cardiometabolic risk factors are associated with increased risks of adverse pregnancy outcomes. Neighbourhood features may reflect prepregnancy exposures that contribute to poor cardiometabolic health before pregnancy and may contribute to racial disparities in pregnancy outcomes.

methodsEarly pregnancy measurements from 1504 women enrolled in the Prenatal Exposures and Preeclampsia Prevention study were linked to a 2000 Census-based measure of neighbourhood socio-economic status and commercial data (food, alcohol, and retail density) during 1997-2001. Multilevel random-intercept linear regression was used to separately estimate the association between levels of neighbourhood assets (low, mid-low, mid-high, high) and C-reactive protein (CRP), systolic blood pressure (SBP), and body mass index (BMI) in cross-sectional analyses. Low neighbourhood assets have high-poverty/low-retail, whereas high neighbourhood assets have low-poverty/high-retail. Models were adjusted for individual-level factors (age and race), and we assessed effect modification by race.

resultsLow compared with high neighbourhood assets were associated with higher BMI (β 1.95 kg/m

conclusionsEarly pregnancy adiposity is related to neighbourhood features independent of individual factors. Further, inflammation beyond accounting for adiposity is related to neighbourhood features. Strategies that address neighbourhood assets during preconception and interconception may be promising approaches to improve prepregnancy health.

Indexed as

Blood PressureBody Mass IndexResidence CharacteristicsAdultCardiovascular DiseasesC-Reactive ProteinCross-Sectional StudiesFemaleHumansPregnancyPregnancy ComplicationsRacial GroupsRisk FactorsSocioeconomic FactorsYoung AdultC-Reactive Proteincardiometabolic healthearly pregnancyneighbourhood

Identifiers

PMID30632180
PMCPMC6353674

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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.