Evidence map›Paper›PMID 34500084›Full record

ArticleAnnals of epidemiology2021

Examining the impacts of neighborhood poverty on bodyweight across the BMI distribution: a quantile and MSM modeling approach.

D Phuong Do, Cheng Zheng

Abstract read
In one paragraph

Article in Annals of epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

D Phuong DoZilber School of Public Health, University of Wisconsin-Milwaukee, Milwaukee, WI. Electronic address: dphuong@uwm.edu.
Cheng ZhengUniversity of Nebraska Medical Center, Department of Biostatistics, Omaha, NE 68198.

Funding

Tracking and Evaluation CoreU54GM115458 · NIGMS · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI PHILIBERT, INGRID · 2016 to 2025
$42.8M
Causal Estimates of Neighborhood Poverty on Health and MortalityR21HD058715 · NICHD · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI DO, D. PHUONG · 2009 to 2010
$382k
NICHD NIH HHS R21 HD058715NIGMS NIH HHS U54 GM115458
6 · The paper itself

Abstract

purposeGiven that the relationships between higher BMI and adverse health outcomes are nonconstant and most pronounced at either ends of the BMI distribution, we assess the association between neighborhood poverty and BMI at multiple points along the BMI distribution.

methodsUsing data from the 1999 to 2015 Panel Study of Income Dynamics of Black and White adults in the United States, we estimate quantile regression models while jointly applying a marginal structural modeling approach to account for time-varying individual-level factors that may be simultaneously mediators as well as confounders.

resultsNeighborhood poverty was not found to be associated with bodyweight at any point along the BMI distribution for Black or White males. However, high neighborhood poverty, compared to low neighborhood poverty, predicted increases in bodyweight for Black females at the lower end of the BMI distribution and for White females at the higher end of the BMI distribution. No association was found between neighborhood poverty and BMI at the mean.

conclusionsResults identify the most vulnerable subgroups, suggesting that White females at the higher end of the BMI distribution as well as Black females at the lower end of the BMI distribution are particularly sensitive to obesogenic environments.

Indexed as

Body Mass IndexPovertyAdultBlack or African AmericanFemaleHumansMaleResidence CharacteristicsUnited StatesWhiteBMIMarginal structural modelingNeighborhoodObesityQuantile regression

Identifiers

PMID34500084
PMCPMC11321882

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