中国组织工程研究 ›› 2010, Vol. 14 ›› Issue (30): 5609-5613.doi: 10.3969/j.issn.1673-8225.2010.30.024

• 数字化骨科 digital orthopedics • 上一篇    下一篇

基于数学模型的中国亚健康特征评价方法与危险因素分析

周雅芳1,何剪太1,张阳德1,刘蔚东1,孙维佳2,曾  强3,谭家驹4   

  1. 1中南大学卫生部肝胆肠外科研究中心,湖南省长沙市  410008;2中南大学湘雅医院,湖南省长沙市 410008;3解放军总医院健康体检中心,北京市 100853;4中山大学佛山市第一人民医院,广东省佛山市  528000
  • 出版日期:2010-07-23 发布日期:2010-07-23
  • 通讯作者: 何剪太,教授,中南大学卫生部肝胆肠外科研究中心,湖南省长沙市 410008
  • 作者简介:周雅芳★,女,1983年生,湖南省长沙市人,汉族,中南大学在读硕士,主要从事亚健康及肠道肿瘤方面的研究。 zhouyafang0525@gmail.com
  • 基金资助:

    国家高技术研究发展计划863计划(2007AA02Z422),课题名称“基于人体系统分型分类的亚健康状态评价体系研究”。国家高技术研究发展计划863计划(2006AA02Z437),课题名称“亚健康状态综合评价体系与分子标志物筛选的研究”。

Evaluation and risk factors of sub-health in Chinese population based on mathematical models

Zhou Ya-fang1, He Jian-tai1, Zhang Yang-de1, Liu Wei-dong1, Sun Wei-jia2, Zeng Qiang3, Tan Jia-ju4   

  1. 1 Research Center of Hepatobiliary & Enteric Surgery, Ministry of Health, Central South University, Changsha  410008, Hunan Province, China; 2 Xiangya Hospital of Central South University, Changsha  410008, Hunan Province, China; 3 Health Examination Center, General Hospital of Chinese PLA, Beijing  100853, China; 4 Foshan First People’s Hospital, Sun Yat-sen University, Foshan  528000, Guangdong Province, China
  • Online:2010-07-23 Published:2010-07-23
  • Contact: He Jian-tai, Professor, Research Center of Hepatobiliary & Enteric Surgery, Ministry of Health, Central South University, Changsha 410008, Hunan Province, China
  • About author:Zhou Ya-fang★, Studying for master’s degree, Research Center of Hepatobiliary & Enteric Surgery, Ministry of Health, Central South University, Changsha 410008, Hunan Province, China zhouyafang0525@gmail.com
  • Supported by:

    the National High Technology Research and Development Program of China, No. 2007AA02Z422*; 2006AA02Z437*

摘要:

背景:目前中国尚缺乏南北多地区共同采集亚健康样本的相关研究,且对亚健康的判别亦缺乏明确标准。
目的:通过多地区多中心采集大样本建立亚健康判断数学模型,明确亚健康参考诊断标准,确定国内亚健康人群的重要临床特征,探讨亚健康发生的危险因素。
方法:参照国际上比较公认的健康测量量表,建立亚健康状态人群特征研究的量化问卷调查表。以中南大学湘雅医院、解放军总医院、佛山市第一人民医院的3个健康体检中心为基地,采集位于国内政治中心、经济发达地区和内地等不同层次的总样本数为2 097例的亚健康人群资料,严格质量控制数据录入。用统计学方法选取变量,用logistic回归及分类树方法建模,从而得到亚健康的判别方程极其主要特征。
结果与讨论:国人处于亚健康的人群比例占所调查人数的57.8%,亚健康普遍存在。建立的logistic回归模型是一个较好的亚健康评判方法。亚健康的主要临床表现为手脚打颤或发冷发热、气短、发热、心慌、排便困难、睡着出汗,消化不良、食欲下降、精力下降等。亚健康高发人群的高危因素是家庭摩擦、睡眠不实、缺乏体育锻炼、缺少个人信仰。

关键词: 亚健康, 问卷调查, 自变量, logistic回归模型, 分类树模型, 数字化医学

Abstract:

BACKGROUND: Generally the sub-health samples gathered in the north and south areas were very rare, and the sub-health distinction lacks the standard.
OBJECTIVE: To collect big samples through the multi-local multi-centers to establish the sub-health judgment mathematical model, so as to form the diagnostic criteria of sub-health, identify the important characteristics of sub-health status of populations and analyze the risk factors.
METHODS: According to internationally recognized health measurement scale, quantitative evaluation questionnaire was established. A total of 2 097 cases from China's political center, economically developed regions, and central areas of three hospitals including the PLA General Hospital, Central South University of Xiangya Hospital, and the First People's Hospital of Foshan. Data were entered with strictly quality controlled method. Variables were selected with statistical methods. Logistic regression model and classification tree model were established to obtain the final regression equation and important characteristics.
RESULTS AND CONCLUSION: China's proportion of the population in sub-health was 57.8% of surveyed samples, suggesting the common appearance of sub-health. The established logistic regression model was a good method of sub-health evaluation. The important clinical features of sub-health include the hands and feet tremble or chills, fever, shortness of breath, palpitation, constipation, sleep sweating, indigestion, loss of appetite, decreased energy, throat foreign bodies, legs heavy, attention, insomnia, and mind empty.

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