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County-Level Social Vulnerability Is Positively Associated with Cardiometabolic Disease in Colorado
Cardiometabolic diseases are a group of interrelated diseases that pose greater burden among socially vulnerable communities. The social vulnerability index (SVI) identifies communities vulnerable to emergencies and may also help determine communities at risk of adverse chronic health outcomes. Howe...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8872484/ https://www.ncbi.nlm.nih.gov/pubmed/35206386 http://dx.doi.org/10.3390/ijerph19042202 |
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author | Wild, Laura E. Walters, McKailey Powell, Alaina James, Katherine A. Corlin, Laura Alderete, Tanya L. |
author_facet | Wild, Laura E. Walters, McKailey Powell, Alaina James, Katherine A. Corlin, Laura Alderete, Tanya L. |
author_sort | Wild, Laura E. |
collection | PubMed |
description | Cardiometabolic diseases are a group of interrelated diseases that pose greater burden among socially vulnerable communities. The social vulnerability index (SVI) identifies communities vulnerable to emergencies and may also help determine communities at risk of adverse chronic health outcomes. However, no studies have examined the relationship between the SVI and cardiometabolic health outcomes in Colorado or focused on rural settings. The aim of this ecological study was to determine whether the county-level SVI is associated with county-level cardiometabolic health indicators with a particular focus on rurality and racial/ethnic diversity. We obtained 2014 SVI scores from the Centers for Disease Control and Prevention (scored 0–1; higher = more vulnerable) and 2013–2015 cardiometabolic health estimates from the Colorado Department of Public Health and Environment. The distribution of social determinants of health was spatially evaluated. Bivariate relationships between the SVI and cardiometabolic indicators were estimated using simple linear regression models. The highest SVI scores were observed in rural areas, including the San Luis Valley (mean: 0.78, median: 0.91), Southeast (mean: 0.72, median: 0.73), and Northeast (mean: 0.66, median: 0.76) regions. Across Colorado, the SVI accounted for 41% of the variability in overweight and obesity prevalence (p < 0.001), 17% of the variability in diabetes prevalence (p = 0.001), and 58% of the age-adjusted myocardial infarction hospitalization rate (p < 0.001). SVI values may be useful in determining a community’s burden of cardiometabolic diseases. |
format | Online Article Text |
id | pubmed-8872484 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-88724842022-02-25 County-Level Social Vulnerability Is Positively Associated with Cardiometabolic Disease in Colorado Wild, Laura E. Walters, McKailey Powell, Alaina James, Katherine A. Corlin, Laura Alderete, Tanya L. Int J Environ Res Public Health Article Cardiometabolic diseases are a group of interrelated diseases that pose greater burden among socially vulnerable communities. The social vulnerability index (SVI) identifies communities vulnerable to emergencies and may also help determine communities at risk of adverse chronic health outcomes. However, no studies have examined the relationship between the SVI and cardiometabolic health outcomes in Colorado or focused on rural settings. The aim of this ecological study was to determine whether the county-level SVI is associated with county-level cardiometabolic health indicators with a particular focus on rurality and racial/ethnic diversity. We obtained 2014 SVI scores from the Centers for Disease Control and Prevention (scored 0–1; higher = more vulnerable) and 2013–2015 cardiometabolic health estimates from the Colorado Department of Public Health and Environment. The distribution of social determinants of health was spatially evaluated. Bivariate relationships between the SVI and cardiometabolic indicators were estimated using simple linear regression models. The highest SVI scores were observed in rural areas, including the San Luis Valley (mean: 0.78, median: 0.91), Southeast (mean: 0.72, median: 0.73), and Northeast (mean: 0.66, median: 0.76) regions. Across Colorado, the SVI accounted for 41% of the variability in overweight and obesity prevalence (p < 0.001), 17% of the variability in diabetes prevalence (p = 0.001), and 58% of the age-adjusted myocardial infarction hospitalization rate (p < 0.001). SVI values may be useful in determining a community’s burden of cardiometabolic diseases. MDPI 2022-02-15 /pmc/articles/PMC8872484/ /pubmed/35206386 http://dx.doi.org/10.3390/ijerph19042202 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Wild, Laura E. Walters, McKailey Powell, Alaina James, Katherine A. Corlin, Laura Alderete, Tanya L. County-Level Social Vulnerability Is Positively Associated with Cardiometabolic Disease in Colorado |
title | County-Level Social Vulnerability Is Positively Associated with Cardiometabolic Disease in Colorado |
title_full | County-Level Social Vulnerability Is Positively Associated with Cardiometabolic Disease in Colorado |
title_fullStr | County-Level Social Vulnerability Is Positively Associated with Cardiometabolic Disease in Colorado |
title_full_unstemmed | County-Level Social Vulnerability Is Positively Associated with Cardiometabolic Disease in Colorado |
title_short | County-Level Social Vulnerability Is Positively Associated with Cardiometabolic Disease in Colorado |
title_sort | county-level social vulnerability is positively associated with cardiometabolic disease in colorado |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8872484/ https://www.ncbi.nlm.nih.gov/pubmed/35206386 http://dx.doi.org/10.3390/ijerph19042202 |
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