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DSpace at EWHA
신산업융합대학
식품영양학과
Journal papers
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Statistical modeling of health space based on metabolic stress and oxidative stress scores
Title
Statistical modeling of health space based on metabolic stress and oxidative stress scores
Authors
Park C.
;
Kim Y.
;
Lee C.
;
Kim J.Y.
;
Kwon O.
;
Park T.
Ewha Authors
권오란
;
김유진
SCOPUS Author ID
권오란
; 김유진
Issue Date
2022
Journal Title
BMC Public Health
ISSN
1471-2458
Citation
BMC Public Health vol. 22, no. 1
Keywords
Health space
;
Metabolic stress
;
Oxidative stress
Publisher
BioMed Central Ltd
Indexed
SCIE; SCOPUS
Document Type
Article
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 odds model showed highest power in discriminating health status of individual (subject). Further validation studies were conducted using two independent cohort datasets: a health examination dataset from Ewha-Boramae cohort with 862 samples and a population-based cohort from the Korea association resource project with 3,199 samples. Conclusions: These validation studies using two independent datasets successfully demonstrated the usefulness of the proposed HS. © 2022, The Author(s).
DOI
10.1186/s12889-022-14081-0
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