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County-Level Social Vulnerability Is Positively Associated with Cardiometabolic Disease in Colorado

Author

Listed:
  • Laura E. Wild

    (Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO 80309, USA)

  • McKailey Walters

    (Department of Public Health and Community Medicine, Tufts University, Boston, MA 02111, USA)

  • Alaina Powell

    (Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO 80309, USA)

  • Katherine A. James

    (Department Environmental and Occupational Health, University of Colorado Anschutz Medical Campus, Denver, CO 80045, USA)

  • Laura Corlin

    (Department of Public Health and Community Medicine, Tufts University, Boston, MA 02111, USA
    Department of Civil and Environmental Engineering, Tufts University, Medford, MA 02155, USA
    These authors contributed equally to this work.)

  • Tanya L. Alderete

    (Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO 80309, USA
    These authors contributed equally to this work.)

Abstract

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.

Suggested Citation

  • Laura E. Wild & McKailey Walters & Alaina Powell & Katherine A. James & Laura Corlin & Tanya L. Alderete, 2022. "County-Level Social Vulnerability Is Positively Associated with Cardiometabolic Disease in Colorado," IJERPH, MDPI, vol. 19(4), pages 1-14, February.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:4:p:2202-:d:750006
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    References listed on IDEAS

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    1. Gaskin, D.J. & Thorpe, R.J., Jr. & McGinty, E.E. & Bower, K. & Rohde, C. & Young, J.H. & LaVeist, T.A. & Dubay, L., 2014. "Disparities in diabetes: The nexus of race, poverty, and place," American Journal of Public Health, American Public Health Association, vol. 104(11), pages 2147-2155.
    2. Wullianallur Raghupathi & Viju Raghupathi, 2018. "An Empirical Study of Chronic Diseases in the United States: A Visual Analytics Approach to Public Health," IJERPH, MDPI, vol. 15(3), pages 1-24, March.
    3. Tu N. Nguyen & Patrice Ngangue & Tarek Bouhali & Bridget L. Ryan & Moira Stewart & Martin Fortin, 2019. "Social Vulnerability in Patients with Multimorbidity: A Cross-Sectional Analysis," IJERPH, MDPI, vol. 16(7), pages 1-9, April.
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