Evidence map›Paper›PMID 25515169›Full record

ArticleAmerican journal of epidemiology2015

Spatial-temporal modeling of neighborhood sociodemographic characteristics and food stores.

Archana P Lamichhane, Joshua L Warren, Marc Peterson, Pasquale Rummo, Penny Gordon-Larsen

Open access · bronzeAbstract read
In one paragraph

Article in American journal of epidemiology, 2015. 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
5.1field-weighted citation impact, top 5% of its field
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, 25 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. The Local Food Environment and Food Security: The Health Behavior Role of Social Capital.International journal of environmental research and public health · 2019
    Article
  8. Article
  9. Factors associated with supermarket and convenience store closure: a discrete time spatial survival modelling approach.Journal of the Royal Statistical Society. Series A, (Statistics in Society) · 2018
    Article
  10. Article
  11. Spatial-Temporal Epidemiology of Tuberculosis in Mainland China: An Analysis Based on Bayesian Theory.International journal of environmental research and public health · 2016
    Article
  12. 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

5 authors at 1 institution in 1 country.

Archana P Lamichhane
Joshua L Warren
Marc Peterson
Pasquale Rummo
Penny Gordon-Larsen
University of North Carolina at Chapel Hill · US

Funding

UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Melissa A. Troester · 2001 to 2026
$36.3M
UNIV OF NORTH CAROLINA CLINICAL NUTRITION RESEARCH UNITP30DK056350 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SUSAN M. SMITH · 1999 to 2026
$31.6M
Biostatstics for Research in Environmental HealthT32ES007018 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Stephanie Engel, Rebecca Fry · 1985 to 2026
$31.3M
Carolina Population CenterR24HD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MORGAN, SAMUEL PHILIP · 2005 to 2014
$10.0M
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
Intramural NIH HHSNHLBI NIH HHS HHSN268200900041CNHLBI NIH HHS HHSN268201300025CNHLBI NIH HHS HHSN268201300026CNHLBI NIH HHS HHSN268201300027CNHLBI NIH HHS HHSN268201300028CNHLBI NIH HHS HHSN268201300029CNHLBI NIH HHS R01 HL114091NIA NIH HHS AG0005NICHD NIH HHS R24 HD050924NICHD NIH HHS R24HD050924NIDDK NIH HHS P30 DK056350NIDDK NIH HHS P30DK56350NIEHS NIH HHS P30 ES010126NIEHS NIH HHS T32 ES007018NIEHS NIH HHS T32ES007018
6 · The paper itself

Abstract

The literature on food stores, neighborhood poverty, and race/ethnicity is mixed and lacks methods of accounting for complex spatial and temporal clustering of food resources. We used quarterly data on supermarket and convenience store locations from Nielsen TDLinx (Nielsen Holdings N.V., New York, New York) spanning 7 years (2006-2012) and census tract-based neighborhood sociodemographic data from the American Community Survey (2006-2010) to assess associations between neighborhood sociodemographic characteristics and food store distributions in the Metropolitan Statistical Areas (MSAs) of 4 US cities (Birmingham, Alabama; Chicago, Illinois; Minneapolis, Minnesota; and San Francisco, California). We fitted a space-time Poisson regression model that accounted for the complex spatial-temporal correlation structure of store locations by introducing space-time random effects in an intrinsic conditionally autoregressive model within a Bayesian framework. After accounting for census tract-level area, population, their interaction, and spatial and temporal variability, census tract poverty was significantly and positively associated with increasing expected numbers of supermarkets among tracts in all 4 MSAs. A similar positive association was observed for convenience stores in Birmingham, Minneapolis, and San Francisco; in Chicago, a positive association was observed only for predominantly white and predominantly black tracts. Our findings suggest a positive association between greater numbers of food stores and higher neighborhood poverty, with implications for policy approaches related to food store access by neighborhood poverty.

Indexed as

Poverty AreasBayes TheoremFood SupplyHumansResidence CharacteristicsSocioeconomic FactorsSpatio-Temporal AnalysisUnited StatesUrban Populationfood availabilityfood storesintrinsic conditionally autoregressive modelneighborhood characteristicspovertysociodemographic factorsspatial-temporal modelingsupermarkets

Identifiers

PMID25515169
PMCPMC4351344
OpenAlexW2126113397

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.