Honam Mathematical Journal (호남수학학술지)

The Honam Mathematical Society (호남수학회)
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THE DEVELOPMENT OF AN OBESITY INDEX MODEL AS A COMPLEMENT TO BMI FOR ADULT: USING THE BLOOD DATA OF KNHANES

  • Ko, Kwanghee (Department of statistics, Chonnam National University) ;
  • Oh, Chunyoung (Department of Mathematics Education, Chonnam National University)
  • Received : 2021.09.22
  • Accepted : 2021.10.30
  • Published : 2021.12.25
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Abstract

We used blood data to predict obesity by complementing the BMI risk, because some blood factors are significantly associated with obesity. For the sampling method, a two-step stratified colony sampling method was used based on sixteen blood factors collected by the Korea National Health and Nutrition Examination Survey(KNHANES). We identify the number of effective blood data of obesity in the final model as 6 ~ 8 factors that differ somewhat depending on age and gender. Also, the coefficient of determination that represents the predictive power of obesity in the regression model is the highest for both men and women of aged 19 and in their 20s and 30s, and the predictive power decreases with increasing age.

Keywords

Acknowledgement

Chunyoung Oh was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(2020R1I1A306562711).

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