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7种亚健康状态与中医体质类型关系的对应分析 被引量:15

Correspondence analysis of the relationship between seven sub-health states and TCM constitution types
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摘要 目的探讨便秘、疼痛、疲劳、失眠、消化不良、头痛、健忘这7种亚健康状态与中医体质类型的关系,分析其对应关系,从中医的角度为改善亚健康状态提供参考依据。方法选取2018年1-7月长期使用国珍养生软件的用户作为研究对象,采用SPSS20.0统计软件的对应分析方法,分析研究对象的亚健康状况和中医体质,并进行对应分析。结果不同亚健康状态的人群,其中医体质类型分布特点不同。阴虚质与疼痛状态关联性强;阳虚质与消化不良状态关联性强;痰湿质、气郁质与便秘状态关联性强;气虚质分别与疲劳、头痛状态关联性强。结论不同的亚健康状态与9种中医体质类型存在对应关系,在改善机体亚健康状态时,可根据其关联性强的中医体质类型对人群的偏颇体质进行调护。 Objective To explore and analyze the corresponding relationship between Traditional Chinese Medicine(TCM)constitution types and seven types of the sub-health status,including constipation,pain,fatigue,insomnia,dyspepsia,headache,forgetfulness,so as to provide a reference for improving the sub-health state from the perspective of TCM.Methods The data from users who used Guozheng Health App for a long time from January to July in 2018 were collected.The corresponding analysis methods of SPSS20.0 statistical software were used to describe and analyze the correlation between the sub-health status and the TCM constitution types.Results The population of different sub-health states had different distribution characteristics.The relationship between yin deficiency and pain state was strong,yang deficiency significantly correlated with dyspepsia,phlegm dampness and qi stagnation associated with constipation,qi deficiency was strongly associated with fatigue and headache.Conclusion Different sub-health status has corresponding relationship with nine TCM constitution types.The biased constitution of the population could be adjusted according to the TCM constitution type with strong correlation in order to improve the sub-health status of the body.
作者 白甜甜 孟凡莉 宋凤斌 郭梦娜 杜莹莹 BAI Tiantian;MENG Fanli;SONG Fengbin;GUO Mengna;DU Yingying(School of Medicine,Hangzhou Normal University,Hangzhou,Zhejiang 311121,China)
出处 《检验医学与临床》 CAS 2020年第17期2460-2463,共4页 Laboratory Medicine and Clinic
基金 国家自然科学基金项目(71603068) 国家重点研发计划课题(2018YFC1707605)。
关键词 中医体质 亚健康 对应分析 Traditional Chinese Medicine constitution types sub-health status corresponding analysis
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