Evidence map›Paper›PMID 32086738›Full record

ArticleJournal of urban health : bulletin of the New York Academy of Medicine2020

GIS-Based Home Neighborhood Food Outlet Counts, Street Connectivity, and Frequency of Use of Neighborhood Restaurants and Food Stores.

Ke Peng, Daniel A Rodríguez, Marc Peterson, Lindsay M Braun, Annie Green Howard, Cora E Lewis, James M Shikany, Penny Gordon-Larsen

Abstract read
In one paragraph

Article in Journal of urban health : bulletin of the New York Academy of Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Development and Validation of a Set of Instruments to Measure Food Environments.International journal of environmental research and public health · 2022
    Review
  5. Article
  6. Article
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

8 authors.

Ke PengDepartment of Urban Planning, School of Architecture, Hunan University, Changsha, China.ORCID 0000-0001-6708-3873
Daniel A RodríguezDepartment of City and Regional Planning,, University of California, Berkeley, Berkeley, CA, 94720, USA.
Marc PetersonCarolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27514, USA.
Lindsay M BraunDepartment of Urban and Regional Planning, University of Illinois at Urbana Champaign, Champaign, IL, 61820, USA.
Annie Green HowardDepartment of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27514, USA.
Cora E LewisDepartment of Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, 35205, USA.
James M ShikanyDepartment of Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, 35205, USA.
Penny Gordon-LarsenDepartment of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 123 W. Franklin Street, Chapel Hill, NC, USA. pglarsen@email.unc.edu.ORCID 0000-0001-5322-4188

Funding

UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Stephanie Engel · 2001 to 2026
$36.3M
UNIV OF NORTH CAROLINA CLINICAL NUTRITION RESEARCH UNITP30DK056350 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Ian Michael Carroll · 1999 to 2026
$31.6M
Carolina Population CenterR24HD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MORGAN, SAMUEL PHILIP · 2005 to 2014
$10.0M
Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
Leveraging multi-omics approaches to examine metabolic challenges of obesity in relation to cardiovascular diseasesR01HL143885 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI AVERY, CHRISTY LEIGH, GORDON-LARSEN, PENNY · 2019 to 2022
$8.9M
Obesity and Metabolic Risk Disparities: Underlying Food Environment FactorsR01HL104580 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GORDON-LARSEN, PENNY · 2010 to 2014
$2.2M
Environmental Changes and Health Outcomes across 25 Years: Four US CitiesR01HL114091 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GORDON-LARSEN, PENNY · 2011 to 2014
$2.1M
NHLBI NIH HHS HHSN268201800003INHLBI NIH HHS HHSN268201800004INHLBI NIH HHS HHSN268201800005INHLBI NIH HHS HHSN268201800006INHLBI NIH HHS HHSN268201800007INHLBI NIH HHS R01 HL104580NHLBI NIH HHS R01 HL114091NHLBI NIH HHS R01 HL143885NICHD NIH HHS P2C HD050924NICHD NIH HHS R24 HD050924NIDDK NIH HHS P30 DK056350NIEHS NIH HHS P30 ES010126
6 · The paper itself

Abstract

Researchers have linked neighborhood food availability to the overall frequency of using food outlets without noting if those outlets were within or outside of participants' neighborhoods. We aimed to examine the association of neighborhood restaurant and food store availability with frequency of use of neighborhood food outlets, and whether such an association was modified by neighborhood street connectivity using a large and diverse population-based cohort of middle-aged U.S. adults. We used self-reported frequency of use of fast food restaurants, sit-down restaurants, and grocery stores in respondents' home neighborhoods using data from the Coronary Artery Risk Development in Young Adults study Year 20 exam in 2005-2006 (n = 2860; Birmingham, AL; Chicago, IL; Minneapolis, MN; and Oakland, CA) and geographically matched GIS-measured neighborhood-level food resource, street, and U.S. Census data. We used mixed-effects logistic regression to examine the associations of the GIS-measured count of neighborhood fast food restaurants, sit-down restaurants, and grocery stores with self-reported frequency of using neighborhood restaurants and food stores and whether such associations differed by GIS-measured neighborhood street connectivity among those who perceived at least one such food outlet. In multivariate analyses, we observed a positive association between the GIS-measured count of neighborhood sit-down restaurants (OR = 1.02, 95% CI 1.00-1.04) and the self-reported frequency of using neighborhood sit-down restaurants. We observed no statistically significant association between GIS-measured count of neighborhood fast food restaurants and self-reported frequency of using neighborhood fast food restaurants, nor did we observe a statistically significant association between GIS-measured count of neighborhood grocery stores and self-reported frequency of using neighborhood grocery stores. We observed inverse associations between GIS-measured neighborhood street connectivity and the self-reported frequencies of using neighborhood fast food restaurants (OR = 0.42, 95% CI 0.26-0.68) and grocery stores (OR = - 2.26, 95% CI - 4.52 to - 0.01). Neighborhood street connectivity did not modify the association between GIS-measured neighborhood restaurant and food store count and the self-reported frequency of using neighborhood restaurants and food stores. Our findings suggest that, for those who perceived at least one sit-down restaurant in their neighborhood, individuals who have more GIS-measured sit-down restaurants in their neighborhoods reported more frequent use of sit-down restaurants than those whose neighborhoods contain fewer such restaurants. Our results also suggest that, for those who perceived at least one fast food restaurant in their neighborhood, individuals who live in neighborhoods with greater GIS-measured street connectivity reported less use of neighborhood fast food restaurants than those who live in neighborhoods with less street connectivity. The count of neighborhood sit-down restaurants and the connectivity of neighborhood street networks appear important in understanding the use of neighborhood food resources.

Indexed as

AdultAgedAged, 80 and overChicagoCommerceEnvironment DesignFast FoodsFemaleGeographic Information SystemsHumansLogistic ModelsMaleMiddle AgedMultivariate AnalysisResidence CharacteristicsRestaurantsBuilt environmentCARDIAFast foodGrocery storeRestaurantSit-down

Identifiers

PMID32086738
PMCPMC7101458

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.