Telles Shirley, Pathak Shivangi, Kumar Ankur, Mishra Prabhat, Balkrishna Acharya
Department of Yoga Research, Patanjali Research Foundation, Haridwar, India.
Med Sci Monit. 2015 May 17;21:1421-7. doi: 10.12659/MSM.893302.
The 3 Ayurvedic constitutional types or Doshas--vata, pitta, and kapha--are responsible for homeostasis and health. The doshas determine various functions, including sleep. According to the Ayurvedic texts, sleep is caused by increased kapha and insomnia by increased vata or pitta, which may follow physical or mental exertion, or disease. The present study was carried out to determine whether this relationship could be found using contemporary standardized questionnaires.
MATERIAL/METHODS: In this cross-sectional single-group study, 995 persons participated (646 males; group average age ±S.D., 49.1±15.2 years). Participants were attending a 1-week residential yoga program in northern India. Participants were assessed for dosha scores using a Tridosha questionnaire and the quality of sleep in the preceding week was self-rated using a sleep rating questionnaire.
Multiple linear regression analyses were used to determine if each dosha acted as a predictor of quality and quantity of sleep. Vata scores significantly predicted the time taken to fall asleep [p<0.01], and the feeling of being rested in the morning [p<0.001]; with higher vata scores being associated with a longer time to fall asleep and a lesser feeling of being rested in the morning. Kapha scores significantly predicted day-time somnolence [p<0.05] and the duration of day-time naps in minutes [p<0.05], with higher kapha scores being associated with longer day-time naps.
The results suggest that the doshas can influence the quality and quantity of sleep.
三种阿育吠陀体质类型或生命能量——风、火、水——维持体内平衡并关乎健康。这些生命能量决定了包括睡眠在内的各种功能。根据阿育吠陀文献记载，睡眠由水能量增加引起，而失眠则由风或火能量增加导致，这可能继发于体力或脑力活动，或疾病。本研究旨在确定能否使用当代标准化问卷找到这种关系。
材料/方法：在这项横断面单组研究中，995人参与（646名男性；组平均年龄±标准差，49.1±15.2岁）。参与者在印度北部参加为期1周的住宿式瑜伽课程。使用三能量问卷评估参与者的能量得分，并使用睡眠评分问卷让参与者对前一周的睡眠质量进行自评。
采用多元线性回归分析来确定每种生命能量是否可作为睡眠质量和数量的预测指标。风能量得分显著预测入睡所需时间[p<0.01]以及早晨醒来时的恢复感[p<0.001]；风能量得分越高，入睡时间越长，早晨醒来时的恢复感越弱。水能量得分显著预测白天嗜睡情况[p<0.05]以及以分钟计的白天小睡时长[p<0.05]，水能量得分越高，白天小睡时间越长。
结果表明，这些生命能量可影响睡眠质量和数量。
