Evidence map›Paper›PMID 42019404›Full record

ArticleSocial science & medicine (1982)2026

A quantitative intersectional approach to measuring change in built environment amenities and the association with mortality in U.S. counties.

Victoria P Fisher, Richard C Sadler, Nadia N Abuelezam

Abstract read
In one paragraph

Article in Social science & medicine (1982), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Victoria P FisherMichigan State University College of Human Medicine, United States. Electronic address: fisherv1@msu.edu.
Richard C SadlerMichigan State University College of Human Medicine, United States.
Nadia N AbuelezamMichigan State University College of Human Medicine, United States.

Funding

Advancing Methods in Infectious Diseases Models: Incorporating Structural CausesR35GM142863 · NIGMS · BOSTON COLLEGE · PI ABUELEZAM, NADIA NATASHA · 2021 to 2024
$1.6M
NIGMS NIH HHS R35 GM142863
6 · The paper itself

Abstract

backgroundThe relationship between health and the built environment is well established, but common methods conceptualizing "place" rely on static or demographic-based interpretations that do not capture its complexity. Marrying Intersectionality Theory and political economics, we conceptualize place as a manifestation of complex, mutually constructive forces that shape the lived experience, and assert that quantitative intersectionality is essential to understanding the role of place in health outcomes.

methodsNaNDA neighborhood data were converted to person-area density across social determinants of health (SDoH) domains at the county level for each year between 2014 and 2019. Log-transformed densities were regressed against year, summed, and exponentiated to calculate the composite average annual change in a county's SDoH amenities. This composite change trend was regressed against county-level 2020 and 2021 COVID-19 and cardiovascular disease (CVD) mortality using multilevel Bayesian models adjusted for year and older population percentage, with state and SDoH intersectional strata as random intercepts.

resultsA 0.1-unit increase in the composite change trend-approximately equivalent to the IQR of the composite trend-was associated with a 4.10% reduction in COVID-19 mortality rate (IRR = 0.959, 95% CrI = [0.944, 0.975]), all else held equal. A 0.1-unit increase in the composite change trend was significantly associated with a 3.15% reduction in a county's CVD mortality rate (IRR = 0.969, 95% CI = [0.959, 0.986]).

conclusionsThis novel approach to conceptualizing the built environment in epidemiological research supports the growing conversations among the fields of economics, urban planning, and public health.

Indexed as

Built EnvironmentCOVID-19MortalityNeighborhood CharacteristicsResidence CharacteristicsBayes TheoremCardiovascular DiseasesHumansSocial Determinants of HealthUnited States

Identifiers

PMID42019404
PMCPMC13237787

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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 Socratic graph.