Statistical modeling of health space based on metabolic stress and oxidative stress scores.

ABSTRACT:

Background

Health space (HS) is a statistical way of visualizing individual's health status in multi-dimensional space. In this study, we propose a novel HS in two-dimensional space based on scores of metabolic stress and of oxidative stress.

Methods

These scores were derived from three statistical models: logistic regression model, logistic mixed effect model, and proportional odds model. HSs were developed using Korea National Health And Nutrition Examination Survey data with 32,140 samples. To evaluate and compare the performance of the HSs, we also developed the Health Space Index (HSI) which is a quantitative performance measure based on the approximate 95% confidence ellipses of HS.

Results

Through simulation studies, we confirmed that HS from the proportional o

SUBMITTER: Park C 

PROVIDER: S-EPMC9454208 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature