jkd The Journal of Korean Diabetes J Korean Diabetes 2233-7431 2714-0547 Korean Diabetes Association 10.4093/jkd.2013.14.1.6 jkd-14-6 Statement Diabetes Risk Score for Korean Adults LeeYong-ho 1 KimDae Jung 2 Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea Department of Endocrinology and Metabolism, Ajou University School of Medicine, Suwon, Korea 교신저자: 김대중, 경기도 수원시 팔달구 원천동 산5번지 아주대학교병원 내분비내과, E-mail: djkim@ajou.ac.kr 12013 712013 141 610 Copyright © 2013 Korean Diabetes Association 2013 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. Abstract

Type 2 diabetes mellitus is one of the most common chronic metabolic disorders in the world, and its prevalence is rapidly increasing. According to an analysis of the 2010 Korea National Health and Nutrition Examination Survey (KNHANES), the overall prevalence of diabetes in Korea increased to 10.1% (3.2 million people) in 2010. Among middle-aged Korean adults, one out of two respondents was first diagnosed with diabetes by the survey, indicating that a significant number of individuals may potentially be at risk for undiagnosed diabetes. Therefore, early screening and detection of diabetes is essential to avoid diabetes-related morbidity, reduce health care costs, and prevent the deterioration of quality of life. Many risk-score questionnaires and algorithms for use in various countries and ethnic groups to identify people at high risk for diabetes have been proposed. We developed and validated a self-assessment score for diabetes risk in Korean adults. Although further prospective studies are needed to evaluate the utility and feasibility of this score in various settings, this self-assessment score may be useful for identifying Korean adults at high risk for diabetes.

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Self-assessment screening questionnaire for undiagnosed participants, recommended for use by health care providers and laypersons. Adapted from Lee YH et al. Diabetes Care 2012;35:1723-30[11].

Calculation of risk scores to predict a 4-year risk for type 2 diabetes (from KoGES). Adapted from Lim NK, et al. Circ J 2012;76:1904-10[15].

Logistic regression analyses for related factors for undiagnosed diabetes

Variables β-Coefficient Odds ratio (95% CI) P Score assigned
Intercept −5.608      
Age (yr)        
 < 35   Reference   0
 35–44 1.068 2.91 (1.74–4.88) < 0.0001 2
 ≥ 45 1.305 3.69 (2.23–6.11) < 0.0001 3
Family history of diabetes        
 No   Reference   0
 Yes 0.621 1.86 (1.29–2.68) 0.0008 1
Hypertension        
 No   Reference   0
 Yes 0.417 1.52 (1.17-1.97) 0.0018 1
Waist circumference (male/female) (cm)        
 < 84/77   Reference   0
 84–89.9/77–83.9 0.779 2.18 (1.47–3.24) 0.0001 2
 ≥ 90/84 1.161 3.19 (2.20–4.64) < 0.0001 3
Smoking status        
 Never or ex-smoker   Reference   0
 Current smoker 0.386 1.47 (1.08–2.01) 0.0155 1
Alcohol intake (drinks/day)        
 < 1   Reference   0
 1–4.9 0.493 1.64 (1.16–2.32) 0.0055 1
 ≥ 5 0.795 2.21 (1.42–3.45) 0.0004 2

AUC=0.730: maximal score is 11. Model was fitted in the development dataset, KNHANES 2001 and 2005. Adapted from Lee YH, et al. Diabetes Care 2012;35:1723–30[11].