Screening Model for Estimating Undiagnosed Diabetes among People with a Family History of Diabetes Mellitus: A KNHANES-Based Study

Kwang Sun Ryu, Ha Ye Jin Kang, Sang Won Lee, Hyun Woo Park, Na Young You, Jae Ho Kim, Yul Hwangbo, Kui Son Choi and Hyo Soung Cha
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Kwang Sun Ryu: Cancer Big Data Center, National Cancer Center, Goyang-si 10408, Gyeonggi-do, Korea
Ha Ye Jin Kang: Cancer Big Data Center, National Cancer Center, Goyang-si 10408, Gyeonggi-do, Korea
Sang Won Lee: Cancer Big Data Center, National Cancer Center, Goyang-si 10408, Gyeonggi-do, Korea
Hyun Woo Park: Healthcare AI Team, National Cancer Center, Goyang-si 10408, Gyeonggi-do, Korea
Na Young You: Cancer Big Data Center, National Cancer Center, Goyang-si 10408, Gyeonggi-do, Korea
Jae Ho Kim: Cancer Big Data Center, National Cancer Center, Goyang-si 10408, Gyeonggi-do, Korea
Yul Hwangbo: Healthcare AI Team, National Cancer Center, Goyang-si 10408, Gyeonggi-do, Korea
Kui Son Choi: Cancer Big Data Center, National Cancer Center, Goyang-si 10408, Gyeonggi-do, Korea
Hyo Soung Cha: Cancer Big Data Center, National Cancer Center, Goyang-si 10408, Gyeonggi-do, Korea

IJERPH, 2020, vol. 17, issue 23, 1-16

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.

Keywords: undiagnosed diabetes mellitus; family history of diabetes; screening model (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2020
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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