IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i13p4706-d378384.html
   My bibliography  Save this article

Health Insurance Is Associated with Decreased Odds for Undiagnosed Prediabetes and Type 2 Diabetes in American Adults

Author

Listed:
  • Sean Mahoney

    (Department of Health, Nutrition, and Exercise Sciences, North Dakota State University, Fargo, ND 58108, USA)

  • Adam Bradley

    (Department of Health, Nutrition, and Exercise Sciences, North Dakota State University, Fargo, ND 58108, USA)

  • Logan Pitts

    (Department of Health, Nutrition, and Exercise Sciences, North Dakota State University, Fargo, ND 58108, USA)

  • Stephanie Waletzko

    (Department of Health, Nutrition, and Exercise Sciences, North Dakota State University, Fargo, ND 58108, USA)

  • Sheria G. Robinson-Lane

    (School of Nursing, University of Michigan, Ann Arbor, MI 48109, USA)

  • Timothy Fairchild

    (Centre for Molecular Medicine & Innovative Therapeutics, Murdoch University, 6150 Perth, Australia)

  • Donna J. Terbizan

    (Department of Health, Nutrition, and Exercise Sciences, North Dakota State University, Fargo, ND 58108, USA)

  • Ryan McGrath

    (Department of Health, Nutrition, and Exercise Sciences, North Dakota State University, Fargo, ND 58108, USA)

Abstract

Over a third of adults in the United States have prediabetes, and many of those with prediabetes will progress to type 2 diabetes within 3–5 years. Health insurance status may factor into a proper diagnosis of prediabetes and diabetes. This study sought to determine the associations between health insurance and undiagnosed prediabetes and diabetes in a national sample of American adults. Publicly available data from 13,029 adults aged 18–64 years from the 2005–2016 waves of the National Health and Nutrition Examination Survey were analyzed. Health insurance type (Medicaid, Private, Other, None) was self-reported. Prediabetes and diabetes status were assessed with measures of self-report, glycohemoglobin, fasting plasma glucose, and two-hour glucose. Covariate-adjusted logistic models were used for the analyses. Overall, 5976 (45.8%) participants had undiagnosed prediabetes, while 897 (6.8%) had undiagnosed diabetes. Having health insurance was associated with decreased odds ratios for undiagnosed prediabetes: 0.87 (95% confidence interval (CI: 0.79, 0.95)) for private insurance, 0.84 (CI: 0.73, 0.95) for other insurance, and 0.78 (CI: 0.67, 0.90) for Medicaid. Moreover, having private health insurance was associated with 0.82 (CI: 0.67, 0.99) decreased odds for undiagnosed diabetes. Health insurance coverage and screening opportunities for uninsured individuals may reduce prediabetes and diabetes misclassifications.

Suggested Citation

  • Sean Mahoney & Adam Bradley & Logan Pitts & Stephanie Waletzko & Sheria G. Robinson-Lane & Timothy Fairchild & Donna J. Terbizan & Ryan McGrath, 2020. "Health Insurance Is Associated with Decreased Odds for Undiagnosed Prediabetes and Type 2 Diabetes in American Adults," IJERPH, MDPI, vol. 17(13), pages 1-15, June.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:13:p:4706-:d:378384
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/13/4706/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/17/13/4706/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Strauss, S.M. & Alfano, M.C. & Shelley, D. & Fulmer, T., 2012. "Identifying unaddressed systemic health conditions at dental visits: Patients who visited dental practices but not general health care providers in 2008," American Journal of Public Health, American Public Health Association, vol. 102(2), pages 253-255.
    2. Susan P Fisher-Hoch & Kristina P Vatcheva & Mohammad H Rahbar & Joseph B McCormick, 2015. "Undiagnosed Diabetes and Pre-Diabetes in Health Disparities," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-10, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chaozhou Mou & Minlan Xu & Juncheng Lyu, 2021. "Predictors of Undiagnosed Diabetes among Middle-Aged and Seniors in China: Application of Andersen’s Behavioral Model," IJERPH, MDPI, vol. 18(16), pages 1-9, August.

    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. Chaozhou Mou & Minlan Xu & Juncheng Lyu, 2021. "Predictors of Undiagnosed Diabetes among Middle-Aged and Seniors in China: Application of Andersen’s Behavioral Model," IJERPH, MDPI, vol. 18(16), pages 1-9, August.
    2. Anna Durbin & Bennett T. Amaechi & Stephen Abrams & Andreas Mandelis & Sara Werb & Benjamin Roebuck & Janet Durbin & Ri Wang & Maryam Daneshvarfard & Konesh Sivagurunathan & Laurent Bozec, 2022. "Protocol for a Case Control Study to Evaluate Oral Health as a Biomarker of Child Exposure to Adverse Psychosocial Experiences," IJERPH, MDPI, vol. 19(6), pages 1-18, March.
    3. Maia Ingram & Karina R. Dueñas & Idolina Castro & Luis Vázquez & Rebecca M. Crocker & Emily K. Larson & Jill Guernsey de Zapien & Emma Torres & Scott C. Carvajal, 2023. "The Use of Qualitative Methods to Guide the Development of the Border Resilience Scale in a Participatory Research Study," IJERPH, MDPI, vol. 20(9), pages 1-15, May.
    4. Mikko Nurminen & Jenni Blomgren, 2021. "Associations of Medical Visits with Dentist Visits: A Register-Linkage Study of a Working-Age Population in Finland," IJERPH, MDPI, vol. 18(24), pages 1-12, December.

    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:17:y:2020:i:13:p:4706-:d:378384. 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.