To construct a forecasting model of the anthropometric chronic disease risk factor score.
BACKGROUND
Many health indices have a relationship with anthropometric indices. This research attempts to provide a new measurement: a chronic disease risk factor score built into the regression model. This new model will help people visualize their health status and get multiple information during the process of the healthy examination.


METHODS
Data from 8,034 subjects were collected from the data bank of the Health Examination Center in Chang Gung Memorial Hospital. Related anthropometric indices and biochemical factors were selected and used to construct a regression model. The anthropometric indices used were body mass index, waist hip ratio, waist hip area ratio, health index, waist leg ratio and trunk leg ratio. Biochemical data included blood pressure, glucose, triglyceride, cholesterol and uric acid, combined to form an anthropometric chronic disease risk factor score.


RESULTS
Subjects under 45 years of age had the highest chronic disease risk factor score, and were selected to construct a regression model. The R-square of this model is 0.355; its predictive error is near 12%. After verification with a testing group, the regression model could be used to predict health status.


CONCLUSIONS
The purpose of this study was to develop a new anthropometric chronic disease risk factor score by combining anthropometric indices and biochemical data. A multiple regression model was used to illustrate health status via anthropometric chronic disease risk factor scores for the subjects participating in the health examination. The results show that the chronic disease risk factor score is useful for prescribing relevant medical treatment as well as for other research.
Chuang
Yi-Chou
YC
Department of Health Care Management, Chang Gung University, Taoyuan, Taiwan. wangminghsu@gmail.com
Wang
Ming-Hsu
MH
Huang
Ding-Hau
DH
Yang
Chien-Hsin
CH
Lin
Jen-Der
JD
D000328:Adult; D000368:Aged; D000886:Anthropometry; D001827:Body Height; D015992:Body Mass Index; D001835:Body Weight; D002908:Chronic Disease; D003430:Cross-Sectional Studies; D006801:Humans; D008875:Middle Aged; D008962:Models, Theoretical; D012307:Risk Factors; D049629:Waist-Hip Ratio