Evidence map›Paper›PMID 28926937›Full record

ArticleInternational journal of environmental research and public health2017

Food Shopping and Acquisition Behaviors in Relation to BMI among Residents of Low-Income Communities in South Carolina.

Angela D Liese, Xiaonan Ma, Brent Hutto, Patricia A Sharpe, Bethany A Bell, Sara Wilcox

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

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

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

  1. Pooled it
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  6. Food Acquisition Practices, Body Mass Index, and Dietary Outcomes by Level of Rurality.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2022
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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

6 authors.

Angela D LieseDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC 29208, USA. liese@sc.edu.
Xiaonan MaDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC 29208, USA. xma@email.sc.edu.
Brent HuttoPrevention Research Center, Arnold School of Public Health, University of South Carolina, 921 Assembly Street, Columbia, SC 29208, USA. brent@brenthutto.com.
Patricia A SharpePrevention Research Center, Arnold School of Public Health, University of South Carolina, 921 Assembly Street, Columbia, SC 29208, USA. sharpep@mailbox.sc.edu.
Bethany A BellCollege of Social Work, University of South Carolina, 1512 Pendleton Street, Columbia, SC 29208, USA. bellb@mailbox.sc.edu.
Sara WilcoxPrevention Research Center, Arnold School of Public Health, University of South Carolina, 921 Assembly Street, Columbia, SC 29208, USA. wilcoxs@mailbox.sc.edu.

Funding

Evaluating a food hub's impact on food access, diet and weight in a food desertR01CA180336 · NCI · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI WILCOX, SARA · 2013 to 2016
$2.2M
NCI NIH HHS R01 CA180336
6 · The paper itself

Abstract

Low-income areas in which residents have poor access to healthy foods have been referred to as "food deserts." It is thought that improving food access may help curb the obesity epidemic. Little is known about where residents of food deserts shop and if shopping habits are associated with body mass index (BMI). We evaluated the association of food shopping and acquisition (e.g., obtaining food from church, food pantries, etc.) with BMI among 459 residents of low-income communities from two South Carolina counties, 81% of whom lived in United States Department of Agriculture-designated food deserts. Participants were interviewed about food shopping and acquisition and perceptions of their food environment, and weight and height were measured. Distances to food retail outlets were determined. Multivariable linear regression analysis was employed. Our study sample comprising largely African-American women had an average BMI of 32.5 kg/m². The vast majority of study participants shopped at supermarkets (61%) or supercenters/warehouse clubs (27%). Shopping at a supercenter or warehouse club as one's primary store was significantly associated with a 2.6 kg/m² higher BMI compared to shopping at a supermarket, independent of demographics, socioeconomics, physical activity, and all other food shopping/acquisition behaviors. Persons who reported shopping at a small grocery store or a convenience or dollar store as their tertiary store had a 2.6 kg/m² lower BMI. Respondents who perceived lack of access to adequate food shopping in their neighborhoods as a problem had higher BMI. Living in a food desert census tract was not significantly associated with BMI. Other shopping attributes, including distance to utilized and nearest grocery stores, were not independently associated with BMI. These findings call into question the idea that poor spatial access to grocery stores is a key underlying factor affecting the obesity epidemic. Future research should consider assessing foods purchased and dietary intake within a comprehensive study of food shopping behaviors and health outcomes among persons living in food deserts.

Indexed as

Body Mass IndexCommerceConsumer BehaviorPovertyAdultAgedCross-Sectional StudiesFemaleFoodFood SupplyHumansMaleMiddle AgedSouth Carolinacommunity food resourcesfood assistancefood securitygrocery store typeshopping distanceshopping frequency

Identifiers

PMID28926937
PMCPMC5615612

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.