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Relationships between County Health Rankings and child overweight and obesity prevalence: a serial cross-sectional analysis

BACKGROUND: The County Health Rankings (CHR) system provides health rankings for U.S. counties. These factors may have utility for evaluating and predicting health outcomes. This study examined the association between CHR factors and the prevalence of child overweight/obesity (OWOB) in the state of...

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Autores principales: Peyer, Karissa, Welk, Greg J., Bailey-Davis, Lisa, Chen, Senlin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4894376/
https://www.ncbi.nlm.nih.gov/pubmed/27180170
http://dx.doi.org/10.1186/s12889-016-3091-0
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author Peyer, Karissa
Welk, Greg J.
Bailey-Davis, Lisa
Chen, Senlin
author_facet Peyer, Karissa
Welk, Greg J.
Bailey-Davis, Lisa
Chen, Senlin
author_sort Peyer, Karissa
collection PubMed
description BACKGROUND: The County Health Rankings (CHR) system provides health rankings for U.S. counties. These factors may have utility for evaluating and predicting health outcomes. This study examined the association between CHR factors and the prevalence of child overweight/obesity (OWOB) in the state of Pennsylvania over 3 years. METHODS: The prevalence of childhood OWOB was obtained for all Pennsylvania school districts for the 2009-10 through 2011-12 school years. Correlational and inferential statistical analyses were used to examine the associations between the prevalence of OWOB in grades K-6 (OWOB1) and 7-12 (OWOB2) and z-score for the overall CHR Health Factors rank, as well as for individual predictive factors (Health Behaviors, Clinical Care, Social and Economic Factors and Physical Environment). RESULTS: Low to moderate correlations (0.29–0.43) were found between OWOB1 and CHR factors. Weaker and less consistent correlations were found for adolescents. There was a significantly higher prevalence of OWOB in counties with poorer CHR scores. CONCLUSIONS: County-level adult indicators of health are significantly associated with levels of child obesity. Future studies should examine the relationship between CHR and other health outcomes.
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spelling pubmed-48943762016-06-07 Relationships between County Health Rankings and child overweight and obesity prevalence: a serial cross-sectional analysis Peyer, Karissa Welk, Greg J. Bailey-Davis, Lisa Chen, Senlin BMC Public Health Research Article BACKGROUND: The County Health Rankings (CHR) system provides health rankings for U.S. counties. These factors may have utility for evaluating and predicting health outcomes. This study examined the association between CHR factors and the prevalence of child overweight/obesity (OWOB) in the state of Pennsylvania over 3 years. METHODS: The prevalence of childhood OWOB was obtained for all Pennsylvania school districts for the 2009-10 through 2011-12 school years. Correlational and inferential statistical analyses were used to examine the associations between the prevalence of OWOB in grades K-6 (OWOB1) and 7-12 (OWOB2) and z-score for the overall CHR Health Factors rank, as well as for individual predictive factors (Health Behaviors, Clinical Care, Social and Economic Factors and Physical Environment). RESULTS: Low to moderate correlations (0.29–0.43) were found between OWOB1 and CHR factors. Weaker and less consistent correlations were found for adolescents. There was a significantly higher prevalence of OWOB in counties with poorer CHR scores. CONCLUSIONS: County-level adult indicators of health are significantly associated with levels of child obesity. Future studies should examine the relationship between CHR and other health outcomes. BioMed Central 2016-05-14 /pmc/articles/PMC4894376/ /pubmed/27180170 http://dx.doi.org/10.1186/s12889-016-3091-0 Text en © Peyer et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Peyer, Karissa
Welk, Greg J.
Bailey-Davis, Lisa
Chen, Senlin
Relationships between County Health Rankings and child overweight and obesity prevalence: a serial cross-sectional analysis
title Relationships between County Health Rankings and child overweight and obesity prevalence: a serial cross-sectional analysis
title_full Relationships between County Health Rankings and child overweight and obesity prevalence: a serial cross-sectional analysis
title_fullStr Relationships between County Health Rankings and child overweight and obesity prevalence: a serial cross-sectional analysis
title_full_unstemmed Relationships between County Health Rankings and child overweight and obesity prevalence: a serial cross-sectional analysis
title_short Relationships between County Health Rankings and child overweight and obesity prevalence: a serial cross-sectional analysis
title_sort relationships between county health rankings and child overweight and obesity prevalence: a serial cross-sectional analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4894376/
https://www.ncbi.nlm.nih.gov/pubmed/27180170
http://dx.doi.org/10.1186/s12889-016-3091-0
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