IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i4p2202-d750006.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/4/2202/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/4/2202/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Raymond Hernandez & Elizabeth A. Pyatak & Cheryl L. P. Vigen & Haomiao Jin & Stefan Schneider & Donna Spruijt-Metz & Shawn C. Roll, 2021. "Understanding Worker Well-Being Relative to High-Workload and Recovery Activities across a Whole Day: Pilot Testing an Ecological Momentary Assessment Technique," IJERPH, MDPI, vol. 18(19), pages 1-17, October.
    2. Yanrong Qiu & Kaihuai Liao & Yanting Zou & Gengzhi Huang, 2022. "A Bibliometric Analysis on Research Regarding Residential Segregation and Health Based on CiteSpace," IJERPH, MDPI, vol. 19(16), pages 1-21, August.
    3. Michelle Nichols & Ronald Teufel & Sarah Miller & Mohan Madisetti & Christine San Giovanni & Katherine Chike-Harris & Lacy Jones & Margaret Prentice & Kenneth Ruggiero & Teresa Kelechi, 2020. "Managing Asthma and Obesity Related Symptoms (MATADORS): An mHealth Intervention to Facilitate Symptom Self-Management among Youth," IJERPH, MDPI, vol. 17(21), pages 1-15, October.
    4. Thorsen, Maggie & McGarvey, Ronald & Thorsen, Andreas, 2020. "Diabetes management at community health centers: Examining associations with patient and regional characteristics, efficiency, and staffing patterns," Social Science & Medicine, Elsevier, vol. 255(C).
    5. Shervin Assari & Maryam Moghani Lankarani, 2018. "Educational Attainment Promotes Fruit and Vegetable Intake for Whites but Not Blacks," J, MDPI, vol. 1(1), pages 1-13, June.
    6. Caitlin Brown & Martin Ravallion, 2023. "Inequality and Social Distancing during the Pandemic," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 21(3), pages 679-702, September.
    7. Mohit Goswami & Yash Daultani & Sanjoy Kumar Paul & Saurabh Pratap, 2023. "A framework for the estimation of treatment costs of cardiovascular conditions in the presence of disease transition," Annals of Operations Research, Springer, vol. 328(1), pages 577-616, September.
    8. Luke Connelly & Gianluca Fiorentini & Marica Iommi, 2022. "Supply-side solutions targeting demand-side characteristics: causal effects of a chronic disease management program on adherence and health outcomes," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(7), pages 1203-1220, September.
    9. Judith M. Ochieng & Janice D. Crist, 2021. "Social Determinants of Health and Health Care Delivery: African American Women’s T2DM Self-Management," Clinical Nursing Research, , vol. 30(3), pages 263-272, March.
    10. Patrick R. Huber & Matthew Baker & Allan D. Hollander & Matthew Lange & Daphne Miller & James F. Quinn & Courtney Riggle & Thomas P. Tomich, 2023. "Linking Biodiversity and Human Wellbeing in Systematic Conservation Assessments of Working Landscapes," Sustainability, MDPI, vol. 15(13), pages 1-18, June.
    11. Maede S. Nouri & Daniel J. Lizotte & Kamran Sedig & Sheikh S. Abdullah, 2021. "VISEMURE: A Visual Analytics System for Making Sense of Multimorbidity Using Electronic Medical Record Data," Data, MDPI, vol. 6(8), pages 1-19, August.
    12. Junkai Zhao & Xinxin Zhang & Zongmin Li, 2019. "The Relationship between Cognitive Impairment and Social Vulnerability among the Elderly: Evidence from an Unconditional Quantile Regression Analysis in China," IJERPH, MDPI, vol. 16(19), pages 1-12, September.
    13. Lida Anna Apergi & Margrét Vilborg Bjarnadóttir & John S. Baras & Bruce L. Golden, 2024. "Cost Patterns of Multiple Chronic Conditions: A Novel Modeling Approach Using a Condition Hierarchy," INFORMS Joural on Data Science, INFORMS, vol. 3(1), pages 49-67, April.
    14. Barber, Sharrelle & Diez Roux, Ana V. & Cardoso, Letícia & Santos, Simone & Toste, Veronica & James, Sherman & Barreto, Sandhi & Schmidt, Maria & Giatti, Luana & Chor, Dora, 2018. "At the intersection of place, race, and health in Brazil: Residential segregation and cardio-metabolic risk factors in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil)," Social Science & Medicine, Elsevier, vol. 199(C), pages 67-76.
    15. Daniel Pankowski & Kinga Wytrychiewicz-Pankowska & Ewa Pisula & Andrzej Fal & Bartłomiej Kisiel & Ewa Kamińska & Witold Tłustochowicz, 2022. "Age, Cognitive Factors, and Acceptance of Living with the Disease in Rheumatoid Arthritis: The Short-Term Perspective," IJERPH, MDPI, vol. 19(5), pages 1-17, March.
    16. Ifechukwude Obiamaka Okwechime & Shamarial Roberson & Agricola Odoi, 2015. "Prevalence and Predictors of Pre-Diabetes and Diabetes among Adults 18 Years or Older in Florida: A Multinomial Logistic Modeling Approach," PLOS ONE, Public Library of Science, vol. 10(12), pages 1-17, December.
    17. Jean R. Francois & Katherine S. Nelson & Emily K. Burchfield, 2024. "Linking Diversity–Productivity Conditions of Farming Systems with the Well-Being of Agricultural Communities," Sustainability, MDPI, vol. 16(16), pages 1-16, August.
    18. Do, D. Phuong & Frank, Reanne & Iceland, John, 2017. "Black-white metropolitan segregation and self-rated health: Investigating the role of neighborhood poverty," Social Science & Medicine, Elsevier, vol. 187(C), pages 85-92.
    19. Wullianallur Raghupathi & Viju Raghupathi, 2021. "Contemporary Business Analytics: An Overview," Data, MDPI, vol. 6(8), pages 1-11, August.
    20. Shih-Ying Chien & Ming-Chuen Chuang & I-Ping Chen, 2020. "Why People Do Not Attend Health Screenings: Factors That Influence Willingness to Participate in Health Screenings for Chronic Diseases," IJERPH, MDPI, vol. 17(10), pages 1-13, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:4:p:2202-:d:750006. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.