IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i3p1195-d489359.html
   My bibliography  Save this article

Risk Factors of Undiagnosed Diabetes Mellitus among Korean Adults: A National Cross-Sectional Study Using the KNHANES Data

Author

Listed:
  • Sangwon Lee

    (Cancer Data Center, National Cancer Control Institute, National Cancer Center, Gyeonggi-do, Goyang-si 10408, Korea
    These authors contributed equally to this original paper.)

  • Kwang Sun Ryu

    (Cancer Data Center, National Cancer Control Institute, National Cancer Center, Gyeonggi-do, Goyang-si 10408, Korea
    These authors contributed equally to this original paper.)

  • Ha Ye Jin Kang

    (Cancer Data Center, National Cancer Control Institute, National Cancer Center, Gyeonggi-do, Goyang-si 10408, Korea)

  • Na Young You

    (Cancer Data Center, National Cancer Control Institute, National Cancer Center, Gyeonggi-do, Goyang-si 10408, Korea)

  • Kui Son Choi

    (Cancer Data Center, National Cancer Control Institute, National Cancer Center, Gyeonggi-do, Goyang-si 10408, Korea
    Graduate School of Cancer Science and Policy, National Cancer Center, Gyeonggi-do, Goyang-si 10408, Korea)

  • Yul Hwangbo

    (Healthcare AI Team, Healthcare Platform Center, National Cancer Center, Gyeonggi-do, Goyang-si 10408, Korea
    Division of Endocrinology, Department of Internal Medicine, National Cancer Center, Gyeonggi-do, Goyang-si 10408, Korea)

  • Jae Wook Lee

    (Division of Nephrology, Department of Internal Medicine, National Cancer Center, Gyeonggi-do, Goyang-si 10408, Korea)

  • Hyo Soung Cha

    (Cancer Data Center, National Cancer Control Institute, National Cancer Center, Gyeonggi-do, Goyang-si 10408, Korea
    Graduate School of Cancer Science and Policy, National Cancer Center, Gyeonggi-do, Goyang-si 10408, Korea
    Healthcare AI Team, Healthcare Platform Center, National Cancer Center, Gyeonggi-do, Goyang-si 10408, Korea)

Abstract

In this cross-sectional study, we investigated the baseline risk factors of diabetes mellitus (DM) in patients with undiagnosed DM (UDM). We utilized the Korean National Health and Nutrition Examination Survey (KNHANES) 2010–2017 data. Data regarding the participants’ demographic characteristics, health status, health determinants, healthcare accessibility, and laboratory tests were gathered to explore the differences between the DM, UDM, and without-DM groups. Among the 64,759 individuals who participated in the KNHANES 2010–2017, 32,611 individuals aged ≥20 years with fasting plasma glucose levels of <100 or ≥126 mg/dL were selected. The odds ratios (ORs) regarding family history of diabetes and the performance of national health and cancer screening tests were lower in the UDM group than in the DM group (adjusted OR: 0.54; 95% confidence interval (CI): 0.43, 0.66; adjusted OR: 0.74; 95% CI: 0.62, 0.89; adjusted OR: 0.71; 95% CI: 0.60, 0.85). The ORs of hypertension and obesity were higher in the UDM group than in the DM group (adjusted OR: 1.32; 95% CI: 1.06, 1.64; adjusted OR: 1.80; 95% CI: 1.37, 2.36, respectively). Patients with UDM were more likely to be exposed to DM-related risk factors than those with and without DM. Public health interventions to prevent UDM development are necessary.

Suggested Citation

  • Sangwon Lee & Kwang Sun Ryu & Ha Ye Jin Kang & Na Young You & Kui Son Choi & Yul Hwangbo & Jae Wook Lee & Hyo Soung Cha, 2021. "Risk Factors of Undiagnosed Diabetes Mellitus among Korean Adults: A National Cross-Sectional Study Using the KNHANES Data," IJERPH, MDPI, vol. 18(3), pages 1-17, January.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:3:p:1195-:d:489359
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/3/1195/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/18/3/1195/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kwang Sun Ryu & Ha Ye Jin Kang & Sang Won Lee & Hyun Woo Park & Na Young You & Jae Ho Kim & Yul Hwangbo & Kui Son Choi & Hyo Soung Cha, 2020. "Screening Model for Estimating Undiagnosed Diabetes among People with a Family History of Diabetes Mellitus: A KNHANES-Based Study," IJERPH, MDPI, vol. 17(23), pages 1-16, November.
    2. Kim, Hongsoo & Cheng, Shou-Hsia, 2018. "Assessing quality of primary diabetes care in South Korea and Taiwan using avoidable hospitalizations," Health Policy, Elsevier, vol. 122(11), pages 1222-1231.
    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. Oh, Byeung-Kuk, 2024. "Retirement and healthcare utilization: Evidence from pension eligibility ages in South Korea," The Journal of the Economics of Ageing, Elsevier, vol. 27(C).
    2. Liao, Yi-Shu & Tsai, Wen-Chen & Chiu, Li-Ting & Kung, Pei-Tseng, 2023. "Educational attainment affects the diagnostic time in type 2 diabetes mellitus and the mortality risk of those enrolled in the diabetes pay-for-performance program," Health Policy, Elsevier, vol. 138(C).
    3. Chang Kyun Choi & Jungho Yang & Ji-An Jeong & Min-Ho Shin, 2022. "Effects of Diabetes Quality Assessment on Diabetes Management Behaviors Based on a Nationwide Survey," IJERPH, MDPI, vol. 19(23), pages 1-11, November.
    4. Miroslava Nedyalkova & Sergio Madurga & Vasil Simeonov, 2021. "Combinatorial K-Means Clustering as a Machine Learning Tool Applied to Diabetes Mellitus Type 2," IJERPH, MDPI, vol. 18(4), pages 1-10, February.
    5. Ugolini, Cristina & Lippi Bruni, Matteo & Leucci, Anna Caterina & Fiorentini, Gianluca & Berti, Elena & Nobilio, Lucia & Moro, Maria Luisa, 2019. "Disease management in diabetes care: When involving GPs improves patient compliance and health outcomes," Health Policy, Elsevier, vol. 123(10), pages 955-962.

    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:18:y:2021:i:3:p:1195-:d:489359. 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.