Title: Statistical modeling of Health space based on metabolic stress and oxidative stress scores
Authors: Oran Kwon - Ewha Womens University (Korea, South)
Chanhee Lee - Seoul National University (Korea, South)
Taesung Park - Seoul National University (Korea, South) [presenting]
Abstract: Lifestyle-related chronic diseases are heterogeneous and multifactorial. Accurate estimation and visualization of the current health state are essential to optimize health and alleviate the increasing burden on lifestyle-related chronic diseases. We proposed a health space for visualizing individuals' health status in multi-dimensional space based on scores of metabolic stress and oxidative stress. We considered three statistical models to build the health space and found the best model using Korea National Health And Nutrition Examination Survey data. We developed a quantitative measure to evaluate and compare three models. Through simulation studies, we confirmed that the proportional odds model showed the highest power in discriminating the health status of individuals. Further validation studies were conducted using two independent cohorts in South Korea. In the validation studies, we successfully demonstrated the usefulness of the proposed health space model.