Evidence map›Paper›PMID 38248540›Full record

ArticleInternational journal of environmental research and public health2024

Examining Factors Associated with the Use of Community Food Resources: An Application of the Andersen Model to Inform Future Interventions.

Abiodun T Atoloye, Oluyemisi Akinsola, Melissa Murillo

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

3 authors.

Abiodun T AtoloyeDepartment of Nutrition, Dietetics, and Food Sciences, Utah State University, Logan, UT 84322, USA.
Oluyemisi AkinsolaDepartment of Nutrition, Dietetics, and Food Sciences, Utah State University, Logan, UT 84322, USA.ORCID 0000-0002-8980-6144
Melissa MurilloDepartment of Nutrition, Dietetics, and Food Sciences, Utah State University, Logan, UT 84322, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The role of the food environment in shaping nutrition and health has gained substantial attention from policymakers, public health researchers, and advocacy groups. To promote equities in food access and nutrition outcomes, understanding factors linked with the utilization of local community food resources is crucial. Using Andersen's service utilization model, we explained how adults use their neighborhood food resources. In a cross-sectional study design, an online survey was conducted in REDCap Version 13.4.0 via the Amazon Mechanical Turk (MTurk) involving 1830 adults with a mean age of 37.9  ±  12.1 years. Participants answered questions on predisposing, enabling, and need factors that influence their use of different community food resources. The predisposing factors that were statistically significant included age, family size, marital status, race, and ethnicity. The enabling factors included travel time, travel mode, income, and shopping decision motivators (such as being able to use Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) vouchers, delivery services, great sales, and coupons). Food security and community food resources need for lower food price were the significant need factors. However, these factors vary by the types of food resources. In conclusion, enhancing the utilization of community-based food access initiatives and programs among underserved families requires consideration of family composition, racial and ethnic diversity, and transportation access.

Indexed as

FoodNutritional StatusAdultChildCommerceCross-Sectional StudiesDriveFemaleHumansInfantMiddle AgedAndersen Modelcommunity food resourcesfamily compositionfood accessfood environmentfood securitymobile food servicesmobilityracial and ethnic diversity

Identifiers

PMID38248540
PMCPMC10815130

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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.