基于数学模型的我国亚健康特征评价方法与危险因素分析

背景：我国尚缺乏南北多地区共同采集亚健康样本的相关研究，亚健康的判别亦缺乏明确的标准。目的：本课题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，确定我国亚健康人群的重要临床特征。并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三个健康体检中心为基地，采集位于我国政治中心、经济发达地区和内地等不同层次的总样本数为2097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。结果和讨论：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。

Study on evaluating the clinical characteristics of sub-health and analysing the risk factors based on the mathematical model method

BACKGROUND: Generally the sub-health samples gathered in our country north and south multi-areas were very rare, the sub-health distinction lacks the standard. Objective: In this study, big samples were gathered through the multi-local multi-centers to establish the sub-health judgment mathematical model. To form the diagnostic criteria of sub-health. To identify the important characteristics of sub-health status of populations and analyze the risk factors. Methods: Refered to content and manufacture method of internationally recognized health measurement scale, set quantitative evaluation index and answer to determine the answers to the establishment of sub-health population characteristics of the questionnaire survey Table. The total number of samples have been gathered 2097 casese from China s political center, economically developed regions, and central areas , three hospital including the PLA General Hospital, Central South University of Xiangya Hospital, the First People s Hospital of Foshan,. Date were entered with strictly quality controled. Variables were selected with statistical methods. Logistic regression model and classfication tree model were estalblished to gain the final regression equation and important characteristics.Results and Conclusion:. Through gathering large samples from three hospital s medical center in China s political center, economic development and central areas,the analysis shows that the sub-health questionnaire form can be used for the evaluation of sub-health.The established logistic regression model is a good method of sub-health evaluation. China s proportion of the population in sub-health is 57.8% of surveyed samples, sub-health is widespread. The important clinic feature of sub-health are: 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, mind empty, etc..