스트레스와 소화기능을 활용한 체질별 맞춤 수면관리 (Individualized Sleep Management for Each Sasang Type Using Stress and Digestive Function)

서지정보

· 발행기관 : 사상체질면역의학회
· 수록지 정보 : 사상체질면역의학회지 / 36권 / 1호 / 13 ~ 30페이지
· 저자명 : 이슬, 채한, 박지은, 김국화, 이정윤

초록

Objectives This study aimed to analyze the influence of various sleep-related factors that affect sleep quality by each Sasang type.


Methods A total of 400 subjects were included for this study, 108 males and 292 females. Sasang type was diagnosed using the SCAT.
Then, the characteristics of each Sasang type were analyzed using HRV, DITI, and PSQI, PSS, and SDFI questionnaires. Logistic regression analysis was used to predict sleep-related factors that affect sleep disorders by Sasang types.


Results This study shows that the pathophysiological characteristics for stress and digestive function of each Sasang type can differentiate sleep management through a logistic regression model including subscales of PSS and SDFI. Stress had no effect on the occurrence of sleep disturbance within only So-Eum, since the stress level is originally high in the So-Eum regardless of sleep quality. Rather, decreased appetite and poor eating habits had a significant impact on the decline in sleep quality. In addition, poor digestion and eating habits in So-Yang had a greater impact and poor digestion in Tae-Eum had a greater impact on the decline in sleep quality.


Conclusion The stress and subscales of digestive function provide differentiated sleep management in So-Yang, Tae-Eum, and So-Eum types. The individualized sleep management for each Sasang type with statistically validated PSS and SDFI would be useful for sleep-related experts planning safe and effective person-centered health care as well as for Western clinicians who want to incorporate Sasang typology into their treatments as integrative medical technique in the future.

영어초록

Objectives This study aimed to analyze the influence of various sleep-related factors that affect sleep quality by each Sasang type.




Methods A total of 400 subjects were included for this study, 108 males and 292 females. Sasang type was diagnosed using the SCAT.
Then, the characteristics of each Sasang type were analyzed using HRV, DITI, and PSQI, PSS, and SDFI questionnaires. Logistic regression analysis was used to predict sleep-related factors that affect sleep disorders by Sasang types.




Results This study shows that the pathophysiological characteristics for stress and digestive function of each Sasang type can differentiate sleep management through a logistic regression model including subscales of PSS and SDFI. Stress had no effect on the occurrence of sleep disturbance within only So-Eum, since the stress level is originally high in the So-Eum regardless of sleep quality. Rather, decreased appetite and poor eating habits had a significant impact on the decline in sleep quality. In addition, poor digestion and eating habits in So-Yang had a greater impact and poor digestion in Tae-Eum had a greater impact on the decline in sleep quality.




Conclusion The stress and subscales of digestive function provide differentiated sleep management in So-Yang, Tae-Eum, and So-Eum types. The individualized sleep management for each Sasang type with statistically validated PSS and SDFI would be useful for sleep-related experts planning safe and effective person-centered health care as well as for Western clinicians who want to incorporate Sasang typology into their treatments as integrative medical technique in the future.

참고자료

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