Literature DB >> 30397025

Association of community food environment and obesity among US adults: a geographical information system analysis.

Meifang Chen1, Thomas Creger2, Virginia Howard3, Suzanne E Judd4, Kathy F Harrington5, Kevin R Fontaine5.   

Abstract

BACKGROUND: Emerging studies have investigated the contribution of food environment to obesity in the USA. However, the findings were inconsistent. Methodological explanations for the inconsistent findings included: (1) using individual store/restaurant exposure as food environment indicator, and (2) not accounting for non-stationarity assumption. This study aimed to describe the spatial distribution of obesity and examine the association between community food environment and obesity, and the variation of magnitude and direction of this association across the USA.
METHODS: Data from 20 897 adults who participated in the REasons for Geographic and Racial Differences in Stroke study and completed baseline assessment between January 2003 and October 2007 were eligible in analysis. Hot Spot analysis was used to assess the spatial distribution of obesity. The association between community food environment and obesity and the variation of this association across the USA were examined using global ordinary least squares regression and local geographically weighted regression.
RESULTS: Higher body mass index (BMI) clusters were more likely to locate in socioeconomically disadvantaged, rural, minority neighbourhoods with a smaller population size, while lower BMI clusters were more likely to appear in more affluent, urban neighbourhoods with a higher percentage of non-Hispanic white residences. There was an overall significant, inverse association between community food environment and obesity (β=-0.0210; p<0.0001). Moreover, the magnitude and direction of this association varied significantly across the US regions.
CONCLUSIONS: The findings underscored the need for geographically tailored public health interventions and policies to address unique local food environment issues to achieve maximum effects on obesity prevention. © Author(s) (or their employer(s)) 2019. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  gis; health promotion; obesity; pidemiology

Mesh:

Year:  2018        PMID: 30397025      PMCID: PMC9105746          DOI: 10.1136/jech-2018-210838

Source DB:  PubMed          Journal:  J Epidemiol Community Health        ISSN: 0143-005X            Impact factor:   3.710


  26 in total

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3.  Built environment and 1-year change in weight and waist circumference in middle-aged and older adults: Portland Neighborhood Environment and Health Study.

Authors:  Fuzhong Li; Peter Harmer; Bradley J Cardinal; Mark Bosworth; Deborah Johnson-Shelton; Jane M Moore; Alan Acock; Naruepon Vongjaturapat
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Review 4.  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

5.  Density and proximity of fast food restaurants and body mass index among African Americans.

Authors:  Lorraine R Reitzel; Seann D Regan; Nga Nguyen; Ellen K Cromley; Larkin L Strong; David W Wetter; Lorna H McNeill
Journal:  Am J Public Health       Date:  2013-05-16       Impact factor: 9.308

6.  The reasons for geographic and racial differences in stroke study: objectives and design.

Authors:  Virginia J Howard; Mary Cushman; Leavonne Pulley; Camilo R Gomez; Rodney C Go; Ronald J Prineas; Andra Graham; Claudia S Moy; George Howard
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7.  Fast-food consumption, diet quality, and neighborhood exposure to fast food: the multi-ethnic study of atherosclerosis.

Authors:  Latetia V Moore; Ana V Diez Roux; Jennifer A Nettleton; David R Jacobs; Manuel Franco
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8.  Prevalence of obesity among adults from rural and urban areas of the United States: findings from NHANES (2005-2008).

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Review 9.  The relationship of the local food environment with obesity: A systematic review of methods, study quality, and results.

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10.  Body mass index, neighborhood fast food and restaurant concentration, and car ownership.

Authors:  Sanae Inagami; Deborah A Cohen; Arleen F Brown; Steven M Asch
Journal:  J Urban Health       Date:  2009-06-16       Impact factor: 3.671

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Review 3.  A rapid review of stocking and marketing practices used to sell sugar-sweetened beverages in U.S. food stores.

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4.  What is the availability, affordability, and quality of foods and beverages aligned with dietary guidance in Louisiana Supplemental Nutrition Assistance Program (SNAP) authorized stores?

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5.  Associations between retail food environment and the nutritional quality of food purchases in French households: The Mont'Panier cross-sectional study.

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Journal:  PLoS One       Date:  2022-04-27       Impact factor: 3.240

6.  Enhancing the Retail Food Environment Index (RFEI) with Neighborhood Commuting Patterns: A Hybrid Human-Environment Measure.

Authors:  Bailey Glover; Liang Mao; Yujie Hu; Jiawen Zhang
Journal:  Int J Environ Res Public Health       Date:  2022-08-30       Impact factor: 4.614

7.  Rural Stroke Patients Have Higher Mortality: An Improvement Opportunity for Rural Emergency Medical Services Systems.

Authors:  Peter K Georgakakos; Morgan B Swanson; Azeemuddin Ahmed; Nicholas M Mohr
Journal:  J Rural Health       Date:  2020-08-05       Impact factor: 4.333

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  8 in total

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