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Correlations between Sleep Quality and Heart Rate Variability, Tongue Diagnosis, and Korean Medical Questionnaires

수면의 질과 심박변이도, 설진 및 한의학적 문진 결과의 상관성

  • Shim, Hyeyoon (Department of Korean Medicine Rehabilitation, 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 Korean Medicine Rehabilitation, College of Korean Medicine, Dongguk University)
  • 심혜윤 (동국대학교 한의과대학 한방재활의학교실) ;
  • 박정환 (한국한의학연구원 미래의학부) ;
  • 이상훈 (한국한의학연구원 미래의학부) ;
  • 김호준 (동국대학교 한의과대학 한방재활의학교실)
  • Received : 2021.10.22
  • Accepted : 2021.11.03
  • Published : 2022.01.31

Abstract

Objectives We aimed to characterize the results obtained from Korean medical examinations and questionnaires on the quality of sleep. Methods The quality of sleep was measured using the Pittsburgh sleep quality index in 400 subjects. Afterwards, heart rate variability (HRV) measurements were done, along with the analyses for tongue color, teeth marks, and tongue coating through the tongue diagnosis system. A questionnaire about body's heat, cold and sweating conditions, and the perceived stress scale (PSS) were performed. Finally, correlations between all these indicators and the sleep quality were analyzed. Results As the quality of sleep decreased, the sympathetic nervous system was stimulated. The subjects who had the blue-purple colored tongue experienced decreased quality of sleep. The quality of sleep was also deteriorated in the subjects who usually feel cold and hot easily, sweat a lot, and feel a lot of discomfort. According to the PSS questionnaire, the higher the stress level is, the lower was the quality of sleep. Conclusions We obtained meaningful results by comprehensively analyzing the sleep quality, HRV, tongue diagnosis, heat and cold conditions, sweating, and stress conditions. In particular, the sleep quality had a significant correlation with the rest of the indicators.

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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