Literature DB >> 21967380

A national study of the association between food environments and county-level health outcomes.

Melissa Ahern1, Cheryl Brown, Stephen Dukas.   

Abstract

PURPOSE: This national, county-level study examines the relationship between food availability and access, and health outcomes (mortality, diabetes, and obesity rates) in both metro and non-metro areas.
METHODS: This is a secondary, cross-sectional analysis using Food Environment Atlas and CDC data. Linear regression models estimate relationships between food availability and access variables (direct-to-consumer farm sales, per capita grocery stores, full-service restaurants, fast food restaurants, and convenience stores) with health outcomes. Controls include smoking, race/ethnicity, gender, age, education, poverty, primary care availability, recreational facility availability, and mobility/distance-from-grocery-store.
FINDINGS: Non-metro findings: Lower adjusted mortality rates were associated with more per capita full-service restaurants and grocery stores, and greater per capita direct farm sales. Lower adjusted diabetes rates were associated with a lower per capita supply of fast food restaurants and convenience stores, and more per capita full-service restaurants and grocery stores. Lower adjusted obesity rates were associated with more per capita full-service restaurants and grocery stores. Unexpectedly, obesity rates were positively associated with per capita grocery stores and negatively associated with fast food restaurants. Metro findings: More per capita full-service restaurants, grocery stores, and direct farm sales are associated with positive health outcomes; fast food restaurants and convenience stores are associated with negative health outcomes.
CONCLUSIONS: The food access/availability environment is an important determinant of health outcomes in metro and non-metro areas. Future research should focus on more refined specifications that capture variability across non-metro settings.
© 2011 National Rural Health Association.

Entities:  

Mesh:

Year:  2011        PMID: 21967380     DOI: 10.1111/j.1748-0361.2011.00378.x

Source DB:  PubMed          Journal:  J Rural Health        ISSN: 0890-765X            Impact factor:   4.333


  47 in total

1.  Differences in food environment perceptions and spatial attributes of food shopping between residents of low and high food access areas.

Authors:  Inderbir Sohi; Bethany A Bell; Jihong Liu; Sarah E Battersby; Angela D Liese
Journal:  J Nutr Educ Behav       Date:  2014-02-20       Impact factor: 3.045

Review 2.  Measuring the food environment and its effects on obesity in the United States: a systematic review of methods and results.

Authors:  Ryan J Gamba; Joseph Schuchter; Candace Rutt; Edmund Y W Seto
Journal:  J Community Health       Date:  2015-06

3.  Predicting geographical variation in health-related quality of life.

Authors:  Pallavi Dwivedi; Dina Huang; Weijun Yu; Quynh Nguyen
Journal:  Prev Med       Date:  2019-05-31       Impact factor: 4.018

4.  Development and Validation of a County-Level Social Determinants of Health Risk Assessment Tool for Cardiovascular Disease.

Authors:  Young-Rock Hong; Arch G Mainous
Journal:  Ann Fam Med       Date:  2020-07       Impact factor: 5.166

5.  Disparities in the Availability of Farmers Markets in the United States.

Authors:  Chelsea R Singleton; Bisakha Sen; Olivia Affuso
Journal:  Environ Justice       Date:  2015-08-18

6.  Diabetes prevalence is associated with different community factors in the diabetes belt versus the rest of the United States.

Authors:  Candice A Myers; Tim Slack; Stephanie T Broyles; Steven B Heymsfield; Timothy S Church; Corby K Martin
Journal:  Obesity (Silver Spring)       Date:  2016-12-23       Impact factor: 5.002

7.  Impact of Changes in Chain Restaurant Calories over Time on Obesity Risk.

Authors:  Sara N Bleich; Jesse C Jones-Smith; Marian P Jarlenski; Julia A Wolfson; Johannah M Frelier; Huiru Tao; Yuchen Hu; Anna Zink; Caroline G Dunn; Mark J Soto; Bradley J Herring
Journal:  J Gen Intern Med       Date:  2020-02-14       Impact factor: 5.128

8.  Frequency of Eating Out at Both Fast-Food and Sit-Down Restaurants Was Associated With High Body Mass Index in Non-Large Metropolitan Communities in Midwest.

Authors:  Surabhi Bhutani; Dale A Schoeller; Matthew C Walsh; Christine McWilliams
Journal:  Am J Health Promot       Date:  2016-08-28

Review 9.  Retail Environments as a Venue for Obesity Prevention.

Authors:  Angela Odoms-Young; Chelsea R Singleton; Sparkle Springfield; Leilah McNabb; Terry Thompson
Journal:  Curr Obes Rep       Date:  2016-06

10.  Business list vs ground observation for measuring a food environment: saving time or waste of time (or worse)?

Authors:  Sean C Lucan; Andrew R Maroko; Joel Bumol; Luis Torrens; Monica Varona; Ethan M Berke
Journal:  J Acad Nutr Diet       Date:  2013-07-16       Impact factor: 4.910

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