Evidence map›Paper›PMID 34051343›Full record

ArticleAnnals of epidemiology2021

Comparing competing geospatial measures to capture the relationship between the neighborhood food environment and diet.

Pasquale E Rummo, Yasemin Algur, Tara McAlexander, Suzanne E Judd, Priscilla M Lopez, Samrachana Adhikari, Janene Brown, Melissa Meeker, Leslie A McClure, Brian Elbel

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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 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

10 authors.

Pasquale E RummoDepartment of Population Health, New York University Grossman School of Medicine, New York, NY. Electronic address: pasquale.rummo@nyulangone.org.
Yasemin AlgurDornsife School of Public Health, Drexel University, Philadelphia, PA.
Tara McAlexanderDornsife School of Public Health, Drexel University, Philadelphia, PA.
Suzanne E JuddUniverisity of Alabama at Birmingham, Birmingham, AL.
Priscilla M LopezDepartment of Population Health, New York University Grossman School of Medicine, New York, NY.
Samrachana AdhikariDepartment of Population Health, New York University Grossman School of Medicine, New York, NY.
Janene BrownDornsife School of Public Health, Drexel University, Philadelphia, PA.
Melissa MeekerDornsife School of Public Health, Drexel University, Philadelphia, PA.
Leslie A McClureDornsife School of Public Health, Drexel University, Philadelphia, PA.
Brian ElbelDepartment of Population Health, New York University Grossman School of Medicine, New York, NY; Wagner Graduate School of Public Service, New York University, New York, NY.

Funding

VCID and Stroke in a Bi-racial National CohortU01NS041588 · NINDS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI CUSHMAN, MARY, HOWARD, GEORGE · 2002 to 2022
$96.0M
New York Regional Center for Diabetes Translation Research - Translational Intervention Methodology CoreP30DK111022 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI JEFFREY GONZALEZ · 2016 to 2026
$7.8M
Component A: Impact of Community Factors on Geographic Disparities in Diabetes and Obesity NationwideU01DP006299 · DP · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI THORPE, LORNA · 2017 to 2021
$4.1M
Component A: A multi-level study of community context and type 2 diabetes and coronary heart disease using electronic health record and new primary data across nested geographies in PennsylvaniaU01DP006296 · DP · GEISINGER CLINIC · PI HIRSCH, ANNEMARIE GREGORY · 2017 to 2021
$3.8M
Prioritizing county-level social determinants that contribute to the greater burden of diabetes and hypertension in the USU01DP006302 · DP · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI CARSON, APRIL P · 2017 to 2021
$3.6M
Component B: Coordinating Center for Community Characteristics Associated with Geographic Disparities in DiabetesU01DP006293 · DP · DREXEL UNIVERSITY · PI MCCLURE, LESLIE AIN · 2017 to 2021
$3.1M
Communities Designed to Support Cardiovascular Health for Older AdultsR01AG049970 · NIA · DREXEL UNIVERSITY · PI LOVASI, GINA S · 2015 to 2018
$2.8M
Built environments on stroke risk and stroke disparities in a national sampleR01NS092706 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI COLABIANCHI, NATALIE, JUDD, SUZANNE E · 2016 to 2019
$2.5M
ConProject-003R56AG049970 · NIA · DREXEL UNIVERSITY · PI LOVASI, GINA S · 2022 to 2023
$1.3M
ACL HHS U01DP006293ACL HHS U01DP006299ACL HHS U01DP006302NCCDPHP CDC HHS U01 DP006293NCCDPHP CDC HHS U01 DP006296NCCDPHP CDC HHS U01 DP006299NCCDPHP CDC HHS U01 DP006302NIA NIH HHS R01 AG049970NIA NIH HHS R56 AG049970NIDDK NIH HHS P30 DK111022NINDS NIH HHS R01 NS092706NINDS NIH HHS U01 NS041588
6 · The paper itself

Abstract

purposeTo examine how the choice of neighborhood food environment definition impacts the association with diet.

methodsUsing food frequency questionnaire data from the Reasons for Geographic and Racial Differences in Stroke study at baseline (2003-2007), we calculated participants' dietary inflammation score (DIS) (n = 20,331); higher scores indicate greater pro-inflammatory exposure. We characterized availability of supermarkets and fast food restaurants using several geospatial measures, including density (i.e., counts/km

resultsThe choice of buffer-based measure did not change the direction or magnitude of associations with DIS. Effect estimates derived from administrative units were smaller than those derived from tailored empirically derived buffer measures. Substantively, a 10% increase in the percentage of fast food restaurants using a "classic" network buffer was associated with a 6.3 (SE = 1.17) point higher DIS (P< .001). The relationship between the percentage of supermarkets and DIS, however, was null. We observed high correlation coefficients between buffer-based density measures of supermarkets and fast food restaurants (r = 0.73-0.83), which made it difficult to estimate independent associations by food outlet type.

conclusionsResearchers should tailor buffer-based measures to community type in future studies, and carefully consider the theoretical and statistical implications for choosing relative (vs. absolute) measures.

Indexed as

Fast FoodsRestaurantsDietFood SupplyHumansResidence CharacteristicsDietInflammationRestaurants

Identifiers

PMID34051343
PMCPMC8592302

What OpenQuestion holds

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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.