基于数据挖掘的慢性疲劳综合征伴焦虑和抑郁状态的相关因素分析  

Relative factor analysis on anxiety and depression state of patients with chronic fatigue syndrome based on data mining

作　　者：李壮[1] 刘洋[1] 葛辛[1] 杨婷[1] 彭玉清[1] LI Zhuang;LIU Yang;GE Xin;et al(Sub-health department, Dongfang hospital of Beijing University of Chinese medicine, Beijing 100078, China)

机构地区：[1]北京中医药大学东方医院亚健康科,北京100078

出　　处：《中华全科医学》2018年第2期204-206,共3页Chinese Journal of General Practice

基　　金：北京中医药大学自主选题项目(2016-JYB-JSMS-052);北京中医药大学自主选题项目(2016-JYBJSPY-039)

摘　　要：目的研究慢性疲劳综合征伴焦虑、抑郁状态患者的一般情况、睡眠质量、脑力及体力疲劳程度等相关因素的内在规律,探索新的治疗思路。方法搜集2015年8月—2016年10月在北京中医药大学东方医院就诊的302例慢性疲劳综合征伴焦虑、抑郁状态患者的焦虑自评量表、抑郁自评量表、疲劳量表和匹兹堡睡眠指数量表等信息,采用SPSS 20.0统计学软件的Logistic回归分析对相关因素的影响进行分析,Clementine 12.0软件中的Apriori算法进行关联规则分析。结果 CFS焦虑、抑郁状态随着脑力疲劳程度加重(P<0.001)、睡眠质量变差(P<0.001)而加重,设关联规则的最小支持度为10%,最小置信度为60%,与焦虑的关联规则为8条正规则,影响程度由高到低依次为中度脑力疲劳、睡眠质量很差、重度体力疲劳、睡眠质量一般、本科学历、女性、41~50岁、51~60岁;与抑郁的关联规则为9条正规则,影响程度由高到低依次为睡眠质量很差、中度脑力疲劳、重度体力疲劳、睡眠质量一般、本科学历、41~50岁、女性、51~60岁、体力劳动者。结论慢性疲劳综合征伴焦虑、抑郁状态的发生是多因素作用的结果,伴随身体的疲劳程度的加重,会改变患者的情绪状态,情绪状态可能成为独立危险因子,同时又是疲劳程度导致的结果之一,两者关系密切,尤其与睡眠质量和脑力疲劳相关性很高,临床治疗需注意改善睡眠质量及脑力疲劳程度。Objective To investigate the prevalence and the relevant factors such as general status, sleep quality, mental and physical fatigue contributing to anxiety and depression of patients with chronic fatigue syndrome, and to explore new treatments. Methods We assessed the severity of anxiety and depression by self-rating anxiety scale（SDS） and self-rat- ing depression scale（SAS） and Pittsburgh sleep quality index（PSQI） also analyzed the 302 cases of chronic fatigue syn- drome treated in Dongfang Hospital of Beijing University of Chinese medicine from August, 2015 to October, 2016. SPSS 20.0 was used to make Logistic regression analysis and algorithm in Clementine 12.0 was used to make association rule a- nalysis. Results With CFS state of anxiety, depression, mental fatigue level increasing（ P 〈 0. 001 ）, the sleep quality worsens（P 〈0.001 ）, related factors influencing anxiety occurs with 10% minimum support and 60% minimum confi- dence and results in eight anxiety association rules ranging from moderate mental fatigue, poor sleep quality, severe phys- ical fatigue, sleep quality, bachelor degree, women, 41 to 50 years old, 51 to 60 years old. Nine factors associated with depression association rules ranging from poor sleep quality, moderate mental fatigue, severe physical fatigue, sleep qual- ity, bachelor degree, 41 to 50 years old, female, aged 51 to 60, manual workers. Conclusion Chronic fatigue syn- drome associated with anxiety and depression is the result of many factors. With more physical fatigue, the patients emo- tional states can be changed, which constitute a dangerous factor and the result of fatigue. Both were closely related and highly relevant to sleep quality and degree of fatigue. Clinical diagnosis and treatment should pay attention to improve sleep quality and mental fatigue.

关 键 词：慢性疲劳综合征 焦虑 抑郁 关联规则 相关因素分析 

分 类 号：R442.8[医药卫生—诊断学] R395[医药卫生—临床医学]