A Study on the Relation of Dysmenorrhea of some patients and Body Composition Analysis

일부 월경통 환자의 체성분 분석 결과와의 상관성에 관한 연구

  • Lee, Jin-Moo (Dept. of Oriental Gynecology, college of Oriental Medicine, Kyung Hee Univ.) ;
  • Lee, Chang-Hoon (Dept. of Oriental Gynecology, college of Oriental Medicine, Kyung Hee Univ.) ;
  • Cho, Jung-Hoon (Dept. of Oriental Gynecology, college of Oriental Medicine, Kyung Hee Univ.) ;
  • Jang, Jun-Bock (Dept. of Oriental Gynecology, college of Oriental Medicine, Kyung Hee Univ.) ;
  • Lee, Kyung-Sub (Dept. of Oriental Gynecology, college of Oriental Medicine, Kyung Hee Univ.) ;
  • Jeong, Jae-Hyuk (Dept. of Oriental Gynecology, college of Oriental Medicine, Kyung Hee Univ.)
  • 이진무 (경희대학교 한의과대학 부인과학교실) ;
  • 이창훈 (경희대학교 한의과대학 부인과학교실) ;
  • 조정훈 (경희대학교 한의과대학 부인과학교실) ;
  • 장준복 (경희대학교 한의과대학 부인과학교실) ;
  • 이경섭 (경희대학교 한의과대학 부인과학교실) ;
  • 정재혁 (경희대학교 한의과대학 부인과학교실)
  • Published : 2007.08.29

Abstract

Purpose: Dysmenorrhea is a women's common disease. The aim of this study is to investigate the relation between body composition and VAS, VRS, MVRS of dysmenorrhea. Methods: The subject were 17 women who took body composition(body mass index, percent body fat, waist-hip ratio) analysis(Inbody 720) and answered the questionnaire have been calculated VAS, VRS and MVRS in Kangnam Korean Hospital, Kyunghee Univ. from Apr. 6, 2007 to Mar. 25, 2007. Results: There was statistically significant correlation between BMI and dysmenorrhea VRS, MVRS. There was statistically significant correlation between BMI and dysmenorrhea VRS, MVRS. There was statistically significant correlation between percent body fat and dysmenorrhea VRS, MVRS. There was statistically significant difference of dysmenorrhea VRS, MVRS between BMI underweight group and BMI normal or overweight group. There was statistically significant difference of dysmenorrhea VAS between waist-hip ratio normal group and waist-hip ratio abnormal group. Conclusion: Body composition analysis(body mass index, percent body fat, waist-hip ratio) is useful to predict pain grade of dysmenorrhea.

Keywords