ArticleInternational journal of environmental research and public health2020
Screening Model for Estimating Undiagnosed Diabetes among People with a Family History of Diabetes Mellitus: A KNHANES-Based Study.
Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed, 9 citations in OpenAlex.
- Impact of Education as a Social Determinant on the Risk of Type 2 Diabetes Mellitus in Korean Adults.Healthcare (Basel, Switzerland) · 2024Article
- Analysis of risk factors and clinical implications for diabetes in first-degree relatives in the northeastern region of China.Frontiers in endocrinology · 2024Article
- Machine learning-based diagnosis and risk factor analysis of cardiocerebrovascular disease based on KNHANES.Scientific reports · 2022Article
- Pulse pressure and the risk of renal hyperfiltration in young adults: Results from Korea National Health and Nutrition Examination Survey (2010-2019).Frontiers in medicine · 2022Article
- Risk of Typical Diabetes-Associated Complications in Different Clusters of Diabetic Patients: Analysis of Nine Risk Factors.Journal of personalized medicine · 2021Article
- Combinatorial K-Means Clustering as a Machine Learning Tool Applied to Diabetes Mellitus Type 2.International journal of environmental research and public health · 2021Article
- Risk Factors of Undiagnosed Diabetes Mellitus among Korean Adults: A National Cross-Sectional Study Using the KNHANES Data.International journal of environmental research and public health · 2021Article
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9 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
A screening model for estimating undiagnosed diabetes mellitus (UDM) is important for early medical care. There is minimal research and a serious lack of screening models for people with a family history of diabetes (FHD), especially one which incorporates gender characteristics. Therefore, the primary objective of our study was to develop a screening model for estimating UDM among people with FHD and enable its validation. We used data from the Korean National Health and Nutrition Examination Survey (KNHANES). KNAHNES (2010-2016) was used as a developmental cohort (n = 5939) and was then evaluated in a validation cohort (n = 1047) KNHANES (2017). We developed the screening model for UDM in male (SMM), female (SMF), and male and female combined (SMP) with FHD using backward stepwise logistic regression analysis. The SMM and SMF showed an appropriate performance (area under curve (AUC) = 76.2% and 77.9%) compared with SMP (AUC = 72.9%) in the validation cohort. Consequently, simple screening models were developed and validated, for the estimation of UDM among patients in the FHD group, which is expected to reduce the burden on the national health care system.
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