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Development of the Hypertension Index Model in General Adult Using the Korea National Health and Nutritional Examination Survey and the Korean Genome and Epidemiology Study

Authors
 Myung-Jae Seo  ;  Sung-Gyun Ahn  ;  Yong-Jae Lee  ;  Jong-Koo Kim 
Citation
 JOURNAL OF PERSONALIZED MEDICINE, Vol.11(10) : 968, 2021-09 
Journal Title
JOURNAL OF PERSONALIZED MEDICINE
Issue Date
2021-09
Keywords
cross-sectional ; hypertension ; prediction model ; risk factors ; sex-specific
Abstract
Hypertension, a risk factor for cardiovascular disease and all-cause mortality, has been increasing. Along with emphasizing awareness and control of hypertension, predicting the incidence of hypertension is important. Several studies have previously reported prediction models of hypertension. However, among the previous models for predicting hypertension, few models reflect various risk factors for hypertension. We constructed a sex-specific prediction model using Korean datasets, which included socioeconomic status, medical history, lifestyle-related variables, anthropometric status, and laboratory indices. We utilized the data from the Korea National Health and Nutrition Examination Survey from 2011 to 2015 to derive a hypertension prediction model. Participants aged 40 years or older. We constructed a sex-specific hypertension classification model using logistic regression and features obtained by literature review and statistical analysis. We constructed a sex-specific hypertension classification model including approximately 20 variables. We estimated its performance using the Korea National Health and Nutrition Examination Survey dataset from 2016 to 2018 (AUC = 0.847 in men, AUC = 0.901 in women). The performance of our hypertension model was considered significant based on the cumulative incidence calculated from a longitudinal dataset, the Korean Genome and Epidemiology Study dataset. We developed this hypertension prediction model using features that could be collected in a clinical office without difficulty. Individualized results may alert a person at high risk to modify unhealthy lifestyles.
Files in This Item:
T202105246.pdf Download
DOI
10.3390/jpm11100968
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Family Medicine (가정의학교실) > 1. Journal Papers
Yonsei Authors
Lee, Yong Jae(이용제) ORCID logo https://orcid.org/0000-0002-6697-476X
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/187188
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