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A Multi-Pronged Evaluation of a Healthy Food Access Initiative in Central Texas: Study Design, Methods, and Baseline Findings of the FRESH-Austin Evaluation Study

Food insecurity and limited healthy food access are complex public health issues and warrant multi-level evaluations. The purpose of this paper was to present the overall study design and baseline results of the multi-pronged evaluation of a healthy food access (i.e., Fresh for Less (FFL)) initiativ...

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Autores principales: Janda, Kathryn M., Ranjit, Nalini, Salvo, Deborah, Nielsen, Aida, Akhavan, Nika, Diaz, Martha, Lemoine, Pablo, Casnovsky, Joy, van den Berg, Alexandra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8535966/
https://www.ncbi.nlm.nih.gov/pubmed/34682578
http://dx.doi.org/10.3390/ijerph182010834
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author Janda, Kathryn M.
Ranjit, Nalini
Salvo, Deborah
Nielsen, Aida
Akhavan, Nika
Diaz, Martha
Lemoine, Pablo
Casnovsky, Joy
van den Berg, Alexandra
author_facet Janda, Kathryn M.
Ranjit, Nalini
Salvo, Deborah
Nielsen, Aida
Akhavan, Nika
Diaz, Martha
Lemoine, Pablo
Casnovsky, Joy
van den Berg, Alexandra
author_sort Janda, Kathryn M.
collection PubMed
description Food insecurity and limited healthy food access are complex public health issues and warrant multi-level evaluations. The purpose of this paper was to present the overall study design and baseline results of the multi-pronged evaluation of a healthy food access (i.e., Fresh for Less (FFL)) initiative in Central Texas. The 2018–2021 FRESH-Austin study was a natural experiment that utilized a cluster random sampling strategy to recruit three groups of participants (total n = 400): (1) customers at FFL assets, (2) residents that lived within 1.5 miles of an FFL asset, and (3) residents from a comparison community. Evaluation measures included annual cohort surveys, accelerometers and GPS devices, store-level audits, and built environment assessments. Data are being used to inform and validate an agent-based model (ABM) to predict food shopping and consumption behaviors. Sociodemographic factors and food shopping and consumption behaviors were similar across the three groups; however, customers recruited at FFL assets were lower income and had a higher prevalence of food insecurity. The baseline findings demonstrate the need for multi-level food access interventions, such as FFL, in low-income communities. In the future, ABM can be used as a cost-effective way to determine potential impacts of future large-scale food environment programs and policies.
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spelling pubmed-85359662021-10-23 A Multi-Pronged Evaluation of a Healthy Food Access Initiative in Central Texas: Study Design, Methods, and Baseline Findings of the FRESH-Austin Evaluation Study Janda, Kathryn M. Ranjit, Nalini Salvo, Deborah Nielsen, Aida Akhavan, Nika Diaz, Martha Lemoine, Pablo Casnovsky, Joy van den Berg, Alexandra Int J Environ Res Public Health Article Food insecurity and limited healthy food access are complex public health issues and warrant multi-level evaluations. The purpose of this paper was to present the overall study design and baseline results of the multi-pronged evaluation of a healthy food access (i.e., Fresh for Less (FFL)) initiative in Central Texas. The 2018–2021 FRESH-Austin study was a natural experiment that utilized a cluster random sampling strategy to recruit three groups of participants (total n = 400): (1) customers at FFL assets, (2) residents that lived within 1.5 miles of an FFL asset, and (3) residents from a comparison community. Evaluation measures included annual cohort surveys, accelerometers and GPS devices, store-level audits, and built environment assessments. Data are being used to inform and validate an agent-based model (ABM) to predict food shopping and consumption behaviors. Sociodemographic factors and food shopping and consumption behaviors were similar across the three groups; however, customers recruited at FFL assets were lower income and had a higher prevalence of food insecurity. The baseline findings demonstrate the need for multi-level food access interventions, such as FFL, in low-income communities. In the future, ABM can be used as a cost-effective way to determine potential impacts of future large-scale food environment programs and policies. MDPI 2021-10-15 /pmc/articles/PMC8535966/ /pubmed/34682578 http://dx.doi.org/10.3390/ijerph182010834 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Janda, Kathryn M.
Ranjit, Nalini
Salvo, Deborah
Nielsen, Aida
Akhavan, Nika
Diaz, Martha
Lemoine, Pablo
Casnovsky, Joy
van den Berg, Alexandra
A Multi-Pronged Evaluation of a Healthy Food Access Initiative in Central Texas: Study Design, Methods, and Baseline Findings of the FRESH-Austin Evaluation Study
title A Multi-Pronged Evaluation of a Healthy Food Access Initiative in Central Texas: Study Design, Methods, and Baseline Findings of the FRESH-Austin Evaluation Study
title_full A Multi-Pronged Evaluation of a Healthy Food Access Initiative in Central Texas: Study Design, Methods, and Baseline Findings of the FRESH-Austin Evaluation Study
title_fullStr A Multi-Pronged Evaluation of a Healthy Food Access Initiative in Central Texas: Study Design, Methods, and Baseline Findings of the FRESH-Austin Evaluation Study
title_full_unstemmed A Multi-Pronged Evaluation of a Healthy Food Access Initiative in Central Texas: Study Design, Methods, and Baseline Findings of the FRESH-Austin Evaluation Study
title_short A Multi-Pronged Evaluation of a Healthy Food Access Initiative in Central Texas: Study Design, Methods, and Baseline Findings of the FRESH-Austin Evaluation Study
title_sort multi-pronged evaluation of a healthy food access initiative in central texas: study design, methods, and baseline findings of the fresh-austin evaluation study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8535966/
https://www.ncbi.nlm.nih.gov/pubmed/34682578
http://dx.doi.org/10.3390/ijerph182010834
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