The predictive value of resting heart rate in identifying undiagnosed diabetes in Korean adults: Korea National Health and Nutrition Examination Survey

• 발행기관: 한국역학회
• 저자명: Dong-Hyuk Park Wonhee Cho Yong-Ho Lee Sun Ha Jee Justin Y. Jeon
• 간행물 정보: 『Epidemiology and Health』44, 1~8쪽, 전체 8쪽
• 주제분류: 의약학 > 면역학
• 파일형태: PDF
• 발행일자: 2022.01.01

영문 초록

OBJECTIVES: The purpose of this study was (1) to examine whether the addition of resting heart rate (RHR) to the existing undiagnosed diabetes mellitus (UnDM) prediction model would improve predictability, and (2) to develop and validate UnDM prediction models by using only easily assessable variables such as gender, RHR, age, and waist circumference (WC). METHODS: Korea National Health and Nutrition Examination Survey (KNHANES) 2010, 2012, 2014, 2016 data were used to develop the model (model building set, n=19,675), while the data from 2011, 2013, 2015, 2017 were used to validate the model (validation set, n=19,917). UnDM was defined as a fasting glucose level ≥126 mg/dL or glycated hemoglobin ≥6.5%; however, doctors have not diagnosed it. Statistical package for the social sciences logistic regression analysis was used to determine the predictors of UnDM. RESULTS: RHR, age, and WC were associated with UnDM. When RHR was added to the existing model, sensitivity was reduced (86 vs. 73%), specificity was increased (49 vs. 65%), and a higher Youden index (35 vs. 38) was expressed. When only gender, RHR, age, and WC were used in the model, a sensitivity, specificity, and Youden index of 70%, 67%, and 37, respectively, were observed. CONCLUSIONS: Adding RHR to the existing UnDM prediction model improved specificity and the Youden index. Further-more, when the prediction model only used gender, RHR, age, and WC, the outcomes were not inferior to those of the existing prediction model.

목차

INTRODUCTION

MATERIALS AND METHODS

RESULTS

DISCUSSION

SUPPLEMENTARY MATERIALS

CONFLICT OF INTEREST

FUNDING

ACKNOWLEDGEMENTS

AUTHOR CONTRIBUTIONS

ORCID

REFERENCES

키워드

Resting heart rate Undiagnosed diabetes Risk score model Korean National Health and Nutrition Examination Survey