Literature DB >> 32086738

GIS-Based Home Neighborhood Food Outlet Counts, Street Connectivity, and Frequency of Use of Neighborhood Restaurants and Food Stores.

Ke Peng1,2, Daniel A Rodríguez3, Marc Peterson4, Lindsay M Braun5, Annie Green Howard6, Cora E Lewis7, James M Shikany7, Penny Gordon-Larsen8.   

Abstract

Researchers have linked neighborhood food availability to the overall frequency of using food outlets without noting if those outlets were within or outside of participants' neighborhoods. We aimed to examine the association of neighborhood restaurant and food store availability with frequency of use of neighborhood food outlets, and whether such an association was modified by neighborhood street connectivity using a large and diverse population-based cohort of middle-aged U.S. adults. We used self-reported frequency of use of fast food restaurants, sit-down restaurants, and grocery stores in respondents' home neighborhoods using data from the Coronary Artery Risk Development in Young Adults study Year 20 exam in 2005-2006 (n = 2860; Birmingham, AL; Chicago, IL; Minneapolis, MN; and Oakland, CA) and geographically matched GIS-measured neighborhood-level food resource, street, and U.S. Census data. We used mixed-effects logistic regression to examine the associations of the GIS-measured count of neighborhood fast food restaurants, sit-down restaurants, and grocery stores with self-reported frequency of using neighborhood restaurants and food stores and whether such associations differed by GIS-measured neighborhood street connectivity among those who perceived at least one such food outlet. In multivariate analyses, we observed a positive association between the GIS-measured count of neighborhood sit-down restaurants (OR = 1.02, 95% CI 1.00-1.04) and the self-reported frequency of using neighborhood sit-down restaurants. We observed no statistically significant association between GIS-measured count of neighborhood fast food restaurants and self-reported frequency of using neighborhood fast food restaurants, nor did we observe a statistically significant association between GIS-measured count of neighborhood grocery stores and self-reported frequency of using neighborhood grocery stores. We observed inverse associations between GIS-measured neighborhood street connectivity and the self-reported frequencies of using neighborhood fast food restaurants (OR = 0.42, 95% CI 0.26-0.68) and grocery stores (OR = - 2.26, 95% CI - 4.52 to - 0.01). Neighborhood street connectivity did not modify the association between GIS-measured neighborhood restaurant and food store count and the self-reported frequency of using neighborhood restaurants and food stores. Our findings suggest that, for those who perceived at least one sit-down restaurant in their neighborhood, individuals who have more GIS-measured sit-down restaurants in their neighborhoods reported more frequent use of sit-down restaurants than those whose neighborhoods contain fewer such restaurants. Our results also suggest that, for those who perceived at least one fast food restaurant in their neighborhood, individuals who live in neighborhoods with greater GIS-measured street connectivity reported less use of neighborhood fast food restaurants than those who live in neighborhoods with less street connectivity. The count of neighborhood sit-down restaurants and the connectivity of neighborhood street networks appear important in understanding the use of neighborhood food resources.

Entities:  

Keywords:  Built environment; CARDIA; Fast food; Grocery store; Restaurant; Sit-down

Mesh:

Year:  2020        PMID: 32086738      PMCID: PMC7101458          DOI: 10.1007/s11524-019-00412-x

Source DB:  PubMed          Journal:  J Urban Health        ISSN: 1099-3460            Impact factor:   3.671


  24 in total

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Journal:  Obes Rev       Date:  2016-01       Impact factor: 9.213

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3.  Comparing Perception-Based and Geographic Information System (GIS)-based characterizations of the local food environment.

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Journal:  J Urban Health       Date:  2008-02-05       Impact factor: 3.671

4.  Do people really know what food retailers exist in their neighborhood? Examining GIS-based and perceived presence of retail food outlets in an eight-county region of South Carolina.

Authors:  Timothy L Barnes; Bethany A Bell; Darcy A Freedman; Natalie Colabianchi; Angela D Liese
Journal:  Spat Spatiotemporal Epidemiol       Date:  2015-05-09

5.  Destinations matter: The association between where older adults live and their travel behavior.

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6.  Between exposure, access and use: Reconsidering foodscape influences on dietary behaviours.

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Journal:  Health Place       Date:  2017-01-11       Impact factor: 4.078

7.  Barriers to buying healthy foods for people with diabetes: evidence of environmental disparities.

Authors:  Carol R Horowitz; Kathryn A Colson; Paul L Hebert; Kristie Lancaster
Journal:  Am J Public Health       Date:  2004-09       Impact factor: 9.308

8.  Do adolescents who live or go to school near fast-food restaurants eat more frequently from fast-food restaurants?

Authors:  Ann Forsyth; Melanie Wall; Nicole Larson; Mary Story; Dianne Neumark-Sztainer
Journal:  Health Place       Date:  2012-09-15       Impact factor: 4.078

9.  Eating at fast-food restaurants is associated with dietary intake, demographic, psychosocial and behavioural factors among African Americans in North Carolina.

Authors:  Jessie A Satia; Joseph A Galanko; Anna Maria Siega-Riz
Journal:  Public Health Nutr       Date:  2004-12       Impact factor: 4.022

10.  Neighborhood fast food restaurants and fast food consumption: a national study.

Authors:  Andrea S Richardson; Janne Boone-Heinonen; Barry M Popkin; Penny Gordon-Larsen
Journal:  BMC Public Health       Date:  2011-07-08       Impact factor: 3.295

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  2 in total

1.  Association between Neighborhood Food Access, Household Income, and Purchase of Snacks and Beverages in the United States.

Authors:  Ke Peng; Nikhil Kaza
Journal:  Int J Environ Res Public Health       Date:  2020-10-15       Impact factor: 3.390

2.  A method for estimating neighborhood characterization in studies of the association with availability of sit-down restaurants and supermarkets.

Authors:  Ke Peng; Daniel A Rodriguez; Jana A Hirsch; Penny Gordon-Larsen
Journal:  Int J Health Geogr       Date:  2021-03-25       Impact factor: 3.918

  2 in total

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