BACKGROUND: Little is known about the associations between natural amenities, recreation facility density, and obesity, at a national level. Therefore, the purpose of this paper was to examine associations between county-level natural amenities, density of recreation facilities, and obesity prevalence among United States counties. METHODS: Data were obtained from a compilation of sources within the United States Department of Agriculture Economic Research Service Food Environment Atlas. Independent variables of interest were the natural amenities scale and recreation facilities per capita. The dependent variable was county-level obesity prevalence. Potential covariates included a measure of county-level percent Black residents, percent Hispanic residents, median age, and median household income. All models were stratified by population loss, persistent poverty, and metro status. Multilevel linear regression models were used to examine the association between obesity and natural amenities and recreation facilities, with "state" as a random effects second level variable. RESULTS: There were statistically significant negative associations between percent obesity and 1) natural amenities and 2) recreation facilities per capita. CONCLUSIONS: Future research should examine environmental and policy changes to increase recreation facilities and enhance accessible natural amenities to decrease obesity rates.
BACKGROUND: Little is known about the associations between natural amenities, recreation facility density, and obesity, at a national level. Therefore, the purpose of this paper was to examine associations between county-level natural amenities, density of recreation facilities, and obesity prevalence among United States counties. METHODS: Data were obtained from a compilation of sources within the United States Department of Agriculture Economic Research Service Food Environment Atlas. Independent variables of interest were the natural amenities scale and recreation facilities per capita. The dependent variable was county-level obesity prevalence. Potential covariates included a measure of county-level percent Black residents, percent Hispanic residents, median age, and median household income. All models were stratified by population loss, persistent poverty, and metro status. Multilevel linear regression models were used to examine the association between obesity and natural amenities and recreation facilities, with "state" as a random effects second level variable. RESULTS: There were statistically significant negative associations between percent obesity and 1) natural amenities and 2) recreation facilities per capita. CONCLUSIONS: Future research should examine environmental and policy changes to increase recreation facilities and enhance accessible natural amenities to decrease obesity rates.
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
Authors: Stephanie B Jilcott Pitts; Thomas C Keyserling; Larry F Johnston; Kelly R Evenson; Jared T McGuirt; Ziya Gizlice; Olivia R Whitt; Alice S Ammerman Journal: J Acad Nutr Diet Date: 2017-06-09 Impact factor: 4.910
Authors: Tanya M Horacek; Elif Dede Yildirim; Dean Seidman; Carol Byrd-Bredbenner; Sarah Colby; Adrienne A White; Karla P Shelnutt; Melissa D Olfert; Anne E Mathews; Kristin Riggsbee; Lisa Franzen-Castle; Jesse Stabile Morrell; Kendra Kattelmann Journal: J Environ Public Health Date: 2019-05-19
Authors: Laura A Graham; Emily B Malone; Joshua S Richman; April P Carson; Olivia Affuso; Sara J Knight; Emily B Levitan Journal: Obesity (Silver Spring) Date: 2020-01 Impact factor: 5.002