Journal of Korean Medicine for Obesity Research (한방비만학회지)

The Society of Korean Medicine for obesity Research (한방비만학회)
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A Correlation Study of the Body Mass Index and the Indicators of Oral Health

체질량지수와 구강건강지표 사이의 상관성에 대한 연구

  • Shim, Hyeyoon (Department of Rehabilitation Medicine of Korean Medicine, College of Korean Medicine, Dongguk University) ;
  • Park, Jeong Hwan (Future Medicine Division, Korea Institute of Oriental Medicine) ;
  • Lee, Sanghun (Future Medicine Division, Korea Institute of Oriental Medicine) ;
  • Kim, Hojun (Department of Rehabilitation Medicine of Korean Medicine, College of Korean Medicine, Dongguk University)
  • 심혜윤 (동국대학교 한의과대학 한방재활의학교실) ;
  • 박정환 (한국한의학연구원 미래의학부) ;
  • 이상훈 (한국한의학연구원 미래의학부) ;
  • 김호준 (동국대학교 한의과대학 한방재활의학교실)
  • Received : 2021.05.22
  • Accepted : 2021.06.10
  • Published : 2021.06.30
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Abstract

Objectives: We aim to observe the relation of body mass index (BMI) and the indicators of oral health. Methods: 400 subjects participated in the study. The BMI values are calculated from the height and weight. For the tongue diagnosis, we used the tongue imaging device to analyze the color, tongue coating, and tooth marks. We measured the concentration of hydrogen sulfide (H2S) and methyl mercaptan (CH3SH) to evaluate the halitosis. The dry mouth was evaluated through the measurement of saliva secretion and with the questionnaire asking the frequency of dry mouth. Results: The BMI values were significantly higher in the group with light-white and blue-purple colored tongue, and significantly lower for lightly-coated tongue. However, the correlation of BMI and the amounts of saliva secretion was not significant as well as in the correlation of BMI and the concentration of H2S, CH3SH. In tongue diagnosis, the subjects who had blue-purple colored tongue also had significantly higher H2S and CH3SH, but tendency of lower saliva secretion. Conclusion: We obtain data showing that BMI value and the indicators of oral health including tongue diagnosis have meaningful correlation.

Keywords

Acknowledgement

본 연구는 한국한의학연구원 주요사업인 'AI 한의사 개발을 위한 임상 빅데이터 수집 및 서비스 플랫폼 구축(KSN2013110)'의 지원을 받아 수행되었음.

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