Evidence map›Paper›PMID 30049654›Full record

ArticleJournal of the Academy of Nutrition and Dietetics2018

Food Acquisition and Shopping Patterns among Residents of Low-Income and Low-Access Communities in South Carolina.

Xiaonan Ma, Patricia A Sharpe, Bethany A Bell, Jihong Liu, Kellee White, Angela D Liese

Abstract read
In one paragraph

Article in Journal of the Academy of Nutrition and Dietetics, 2018. 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
–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

17 citing papers in PubMed.

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  13. Does COVID-19 Affect the Behavior of Buying Fresh Food? Evidence from Wuhan, China.International journal of environmental research and public health · 2021
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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.

Xiaonan Ma
Patricia A Sharpe
Bethany A Bell
Jihong Liu
Kellee White
Angela D Liese

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

backgroundLittle is known about the food acquisition and shopping habits of residents living in food deserts.

objectiveTo identify distinct food acquisition and shopping patterns among residents, most of whom (81%) live in food desert (low income and low access) census tracts, and characterize these patterns with respect to the residents' socioeconomic status, nutrition knowledge, and perceptions of their food environment.

designThis is a cross-sectional study. PARTICIPANTS/

settingFour hundred sixty-six primary food shoppers were included from two counties in South Carolina during 2013-2014.

main outcome measuresParticipants' self-reported food acquisition and shopping habits, including shopping distance; frequency; store type; transportation mode; use of farmers' markets, food banks/pantries, and church/social service organizations, were used to develop shopping patterns and group residents. Supplemental Nutrition Assistance Program participation, food security, income, and education, nutrition knowledge, and perceptions of the food environment were used to characterize these groups. STATISTICAL ANALYSES PERFORMED: Latent class analysis and multinomial logistic regression were used to identify and characterize patterns, respectively.

resultsThree patterns were identified, including those who use community food resources, are infrequent grocery shoppers, and use someone else's car or public transportation when shopping (Class 1) (35%), those who use community food resources and are more frequent and proximal shoppers (Class 2) (41%), and those who do not use community food resources and are distal shoppers (Class 3) (24%). Compared with Class 3, Class 1 had comparatively lower socioeconomic status. Class 2 also had comparatively lower socioeconomic attributes except for income. Class 2 was not significantly different from Class 1 except that a higher proportion in Class 1 saw food access as a problem. No significant differences across classes were found regarding fruit and vegetable recommendation knowledge.

conclusionsShopping frequency, use of community food resources, transportation methods, and shopping distance were the key factors that defined distinct patterns among residents living in low-income areas. Future interventions to increase healthy food access in underserved areas should not only consider accessibility but also community food resource use.

Indexed as

AdultAgedBlack or African AmericanCommerceConsumer BehaviorCross-Sectional StudiesDietFemaleFood PreferencesFood SupplyGeographyHealth BehaviorHumansLatent Class AnalysisLogistic ModelsMaleCommunity food resourcesGrocery store typeShopping distanceShopping frequencyTransportation

Identifiers

PMID30049654
PMCPMC6162113

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Registered trials

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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.