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Impact of Food Environments on Obesity Rates: A State-Level Analysis

INTRODUCTION: Limited access to healthy food in areas that are predominantly food deserts or food swamps may be associated with obesity. Other unhealthy behaviors may also be associated with obesity and poor food environments. METHODS: We calculated Modified Retail Food Environment Index (mRFEI) to...

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Autores principales: Cerceo, Elizabeth, Sharma, Elena, Boguslavsky, Anne, Rachoin, Jean-Sebastien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10546892/
https://www.ncbi.nlm.nih.gov/pubmed/37794996
http://dx.doi.org/10.1155/2023/5052613
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author Cerceo, Elizabeth
Sharma, Elena
Boguslavsky, Anne
Rachoin, Jean-Sebastien
author_facet Cerceo, Elizabeth
Sharma, Elena
Boguslavsky, Anne
Rachoin, Jean-Sebastien
author_sort Cerceo, Elizabeth
collection PubMed
description INTRODUCTION: Limited access to healthy food in areas that are predominantly food deserts or food swamps may be associated with obesity. Other unhealthy behaviors may also be associated with obesity and poor food environments. METHODS: We calculated Modified Retail Food Environment Index (mRFEI) to assess food retailers. Using data collected from the Behavioral Risk Factor Surveillance System (BRFSS) survey, the NJ Department of Health (NJDOH), and the US Census Bureau, we conducted a cross-sectional analysis of the interaction of obesity with the food environment and assessed smoking, leisure-time physical activity (LPA), and poor sleep. RESULTS: There were 17.9% food deserts and 9.3% food swamps in NJ. There was a statistically significant negative correlation between mRFEI and obesity rate (Pearson's r −0.13, p < 0.001), suggesting that lack of access to healthy food is associated with obesity. Regression analysis was significantly and independently associated with increased obesity prevalence (adjusted R square 0.74 and p=0.008). Obesity correlated positively with unhealthy behaviors. Each unhealthy behavior was negatively correlated with mRFEI. The mean prevalence for smoking, LPA, and sleep <7 hours was 15.4 (12.5–18.6), 26.5 (22.5–32.3), and 37.3 (34.9–40.4), respectively. CONCLUSION: Obesity tracks with food deserts and especially food swamps. It is also correlated with other unhealthy behaviors (smoking, LPA, and poor sleep).
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spelling pubmed-105468922023-10-04 Impact of Food Environments on Obesity Rates: A State-Level Analysis Cerceo, Elizabeth Sharma, Elena Boguslavsky, Anne Rachoin, Jean-Sebastien J Obes Research Article INTRODUCTION: Limited access to healthy food in areas that are predominantly food deserts or food swamps may be associated with obesity. Other unhealthy behaviors may also be associated with obesity and poor food environments. METHODS: We calculated Modified Retail Food Environment Index (mRFEI) to assess food retailers. Using data collected from the Behavioral Risk Factor Surveillance System (BRFSS) survey, the NJ Department of Health (NJDOH), and the US Census Bureau, we conducted a cross-sectional analysis of the interaction of obesity with the food environment and assessed smoking, leisure-time physical activity (LPA), and poor sleep. RESULTS: There were 17.9% food deserts and 9.3% food swamps in NJ. There was a statistically significant negative correlation between mRFEI and obesity rate (Pearson's r −0.13, p < 0.001), suggesting that lack of access to healthy food is associated with obesity. Regression analysis was significantly and independently associated with increased obesity prevalence (adjusted R square 0.74 and p=0.008). Obesity correlated positively with unhealthy behaviors. Each unhealthy behavior was negatively correlated with mRFEI. The mean prevalence for smoking, LPA, and sleep <7 hours was 15.4 (12.5–18.6), 26.5 (22.5–32.3), and 37.3 (34.9–40.4), respectively. CONCLUSION: Obesity tracks with food deserts and especially food swamps. It is also correlated with other unhealthy behaviors (smoking, LPA, and poor sleep). Hindawi 2023-06-20 /pmc/articles/PMC10546892/ /pubmed/37794996 http://dx.doi.org/10.1155/2023/5052613 Text en Copyright © 2023 Elizabeth Cerceo et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Cerceo, Elizabeth
Sharma, Elena
Boguslavsky, Anne
Rachoin, Jean-Sebastien
Impact of Food Environments on Obesity Rates: A State-Level Analysis
title Impact of Food Environments on Obesity Rates: A State-Level Analysis
title_full Impact of Food Environments on Obesity Rates: A State-Level Analysis
title_fullStr Impact of Food Environments on Obesity Rates: A State-Level Analysis
title_full_unstemmed Impact of Food Environments on Obesity Rates: A State-Level Analysis
title_short Impact of Food Environments on Obesity Rates: A State-Level Analysis
title_sort impact of food environments on obesity rates: a state-level analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10546892/
https://www.ncbi.nlm.nih.gov/pubmed/37794996
http://dx.doi.org/10.1155/2023/5052613
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