A Study on the Correlation between Iris Markings and Obesity Indices

홍채표지와 비만지표와의 상관성 연구

  • Lim, Young-Woo (Department of Biofunctional Medicine & Diagnostics, College of Oriental Medicine, Kyung Hee University) ;
  • Park, Seung-Il (Park Seung Il Korean Medical Clinic) ;
  • Park, Young-Jae (Department of Biofunctional Medicine & Diagnostics, College of Oriental Medicine, Kyung Hee University) ;
  • Park, Young-Bae (Department of Biofunctional Medicine & Diagnostics, College of Oriental Medicine, Kyung Hee University)
  • 임영우 (경희대학교 한의과대학 진단.생기능의학과학교실) ;
  • 박성일 (박성일한의원) ;
  • 박영재 (경희대학교 한의과대학 진단.생기능의학과학교실) ;
  • 박영배 (경희대학교 한의과대학 진단.생기능의학과학교실)
  • Received : 2013.10.10
  • Accepted : 2013.10.28
  • Published : 2013.08.31

Abstract

Objectives This study analyze the correlation between iris markings and the obesity level shown in body composition indices. And It quantitatively evaluates iris markings according to the level of obesity to improve a clinical application plan for the iris analysis. Methods This study analyzed the iris and body composition through the quantization of iris markings for 28 female patients. It calculated descriptive statistics by using SPSS 13.0 and investigated correlation coefficients of non-parametric Spearman in order to analyze the relation between iris markings and body composition indices. Results Considering the correlation between iris markings and body composition indices, an area of the pupil had a significant positive correlation with height and with fat-free amount such as body water, protein, and minerals. BMI showed significant positive correlations with the length of the autonomic nerve wreath and the ratio of the autonomic nerve wreath, and the area of the autonomic nerve wreath. Moreover, the number of lacunas in the pancrea area had a significant positive correlation with weight and BMI. Conclusions This study objectifies the quantification of iris markings to identify the correlation between iris markings and the level of obesity. The study results will be used as a basic data to make standards for the diagnosis of obesity, the treatment of related diseases, and the diagnosis of iris markings for prevention.

Keywords

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