Evidence map›Paper›PMID 34244272›Full record

ArticleBMJ open2021

Healthy food retail availability and cardiovascular mortality in the United States: a cohort study.

Gina S Lovasi, Norman J Johnson, Sean F Altekruse, Jana A Hirsch, Kari A Moore, Janene R Brown, Andrew G Rundle, James W Quinn, Kathryn Neckerman, David S Siscovick

Abstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

  1. Pooled it
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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

10 authors.

Gina S LovasiUrban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania, USA gsl45@drexel.edu.ORCID 0000-0003-2613-9599
Norman J JohnsonCenter for Administrative Records and Research Applications, Census Bureau, Washington, District of Columbia, USA.
Sean F AltekruseNational Heart Lung and Blood institute, Division of Cardiovascular Sciences, National Institutes of Health, Bethesda, Maryland, USA.
Jana A HirschUrban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania, USA.
Kari A MooreUrban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania, USA.
Janene R BrownUrban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania, USA.ORCID 0000-0003-3878-7999
Andrew G RundleBuilt Environment and Health Research Group, Columbia University, New York, New York, USA.
James W QuinnBuilt Environment and Health Research Group, Columbia University, New York, New York, USA.
Kathryn NeckermanBuilt Environment and Health Research Group, Columbia University, New York, New York, USA.
David S SiscovickNew York Academy of Medicine, New York, New York, USA.

Funding

Communities Designed to Support Cardiovascular Health for Older AdultsR01AG049970 · NIA · DREXEL UNIVERSITY · PI LOVASI, GINA S · 2015 to 2018
$2.8M
ConProject-003R56AG049970 · NIA · DREXEL UNIVERSITY · PI LOVASI, GINA S · 2022 to 2023
$1.3M
NIA NIH HHS R01 AG049970NIA NIH HHS R56 AG049970
6 · The paper itself

Abstract

objectivesWe investigated the association of healthy food retail presence and cardiovascular mortality, controlling for sociodemographic characteristics. This association could inform efforts to preserve or increase local supermarkets or produce market availability.

designCohort study, combining Mortality Disparities in American Communities (individual-level data from 2008 American Community Survey linked to National Death Index records from 2008 to 2015) and retail establishment data.

settingAcross the continental US area-based sociodemographic and retail characteristics were linked to residential location by ZIP code tabulation area (ZCTA). Sensitivity analyses used census tracts instead, restricted to urbanicity or county-based strata, or accounted for non-independence using frailty models.

participants2 753 000 individuals age 25+ living in households with full kitchen facilities, excluding group quarters. PRIMARY AND SECONDARY OUTCOME MEASURES: Cardiovascular mortality (primary) and all-cause mortality (secondary).

results82% had healthy food retail (supermarket, produce market) within their ZCTA. Density of such retail was correlated with density of unhealthy food sources (eg, fast food, convenience store). Healthy food retail presence was not associated with reduced cardiovascular (HR: 1.03; 95% CI 1.00 to 1.07) or all-cause mortality (HR: 1.05; 95% CI 1.04 to 1.06) in fully adjusted models (with adjustment for gender, age, marital status, nativity, Black race, Hispanic ethnicity, educational attainment, income, median household income, population density, walkable destination density). The null finding for cardiovascular mortality was consistent across adjustment strategies including minimally adjusted models (individual demographics only), sensitivity analyses related to setting, and across gender or household type strata. However, unhealthy food retail presence was associated with elevated all-cause mortality (HR: 1.15; 95% CI 1.11 to 1.20).

conclusionsIn this study using food establishment locations within administrative areas across the USA, the hypothesised association of healthy food retail availability with reduced cardiovascular mortality was not supported; an association of unhealthy food retail presence with higher mortality was not specific to cardiovascular causes.

Indexed as

Cardiovascular DiseasesResidence CharacteristicsAdultCohort StudiesCommerceFast FoodsHumansUnited Statescoronary heart diseaseepidemiologypreventive medicinepublic health

Identifiers

PMID34244272
PMCPMC8273445

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.