Evidence map›Paper›PMID 23327426›Full record

ArticleBMC public health2013

Convenience stores are the key food environment influence on nutrients available from household food supplies in Texas Border Colonias.

Joseph R Sharkey, Wesley R Dean, Courtney C Nalty, Jin Xu

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
5.5field-weighted citation impact, top 4% 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

17 citing papers in PubMed, 51 citations in OpenAlex.

  1. Article
  2. Article
  3. Place Effects and Chronic Disease Rates in a Rural State: Evidence from a Triangulation of Methods.International journal of environmental research and public health · 2020
    Article
  4. Article
  5. Field Validation of Commercially Available Food Retailer Data in the Netherlands.International journal of environmental research and public health · 2020
    Article
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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

4 authors at 2 institutions in 1 country.

Joseph R SharkeyProgram for Research in Nutrition and Health Disparities, Department of Health Promotion and Community Health Sciences, School of Rural Public Health, Texas A&M Health Science Center, College Station, TX, USA. jrsharkey@srph.tamhsc.edu
Wesley R Dean
Courtney C Nalty
Jin Xu
Texas A&M Health Science Center · USTexas A&M Health Science Center · US

Funding

BUILDING CAPACITY IN RURAL AND UNDERSERVED COMMUNITIES: CTR. COMM. HEALTH DEVE. U48DP001924 · DP · TEXAS A&M UNIVERSITY HEALTH SCIENCE CTR · PI MCLEROY, KENNETH R. · 2009 to 2013
$7.6M
TRAINING COREP20MD002295 · NIMHD · TEXAS A&M UNIVERSITY · PI GUIDRY, JEFFREY J. · 2007 to 2011
$6.7M
NCCDPHP CDC HHS 1U48DP001924NIMHD NIH HHS 5P20MD002295
6 · The paper itself

Abstract

backgroundFew studies have focused on the relationship between the retail food environment and household food supplies. This study examines spatial access to retail food stores, food shopping habits, and nutrients available in household food supplies among 50 Mexican-origin families residing in Texas border colonias.

methodsThe design was cross-sectional; data were collected in the home March to June 2010 by promotora-researchers. Ground-truthed methods enumerated traditional (supercenters, supermarkets, grocery stores), convenience (convenience stores and food marts), and non-traditional (dollar stores, discount stores) retail food stores. Spatial access was computed using the network distance from each participant's residence to each food store. Data included survey data and two household food inventories (HFI) of the presence and amount of food items in the home. The Spanish language interviewer-administered survey included demographics, transportation access, food purchasing, food and nutrition assistance program participation, and the 18-item Core Food Security Module. Nutrition Data Systems for Research (NDS-R) was used to calculate HFI nutrients. Adult equivalent adjustment constants (AE), based on age and gender calorie needs, were calculated based on the age- and gender composition of each household and used to adjust HFI nutrients for household composition. Data were analyzed using bivariate analysis and linear regression models to determine the association of independent variables with the availability of each AE-adjusted nutrient.

resultsRegression models showed that households in which the child independently purchased food from a convenience store at least once a week had foods and beverages with increased amounts of total energy, total fat, and saturated fat. A greater distance to the nearest convenience store was associated with reduced amounts of total energy, vitamin D, total sugar, added sugar, total fat, and saturated fat. Participation in the National School Lunch Program (NSLP) was associated with lower household levels of total energy, calcium, vitamin C, sodium, vitamin D, and saturated fat. Spatial access and utilization of supermarkets and dollar stores were not associated with nutrient availability.

conclusionsAlthough household members frequently purchased food items from supermarkets or dollar stores, it was spatial access to and frequent utilization of convenience food stores that influenced the amount of nutrients present in Texas border colonia households. These findings also suggest that households which participate in NSLP have reduced AE-adjusted nutrients available in the home. The next step will target changes within convenience stores to improve in-store marketing of foods and beverages to children and adults.

Indexed as

CommerceNutrition SurveysPoverty AreasResidence CharacteristicsAdultCross-Sectional StudiesFemaleFood SupplyHumansMaleMexicoMiddle AgedMothersNutrition PolicyPublic AssistanceRegression Analysis

Identifiers

PMID23327426
PMCPMC3562525
OpenAlexW2138999194

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.