【作者】 周雅芳；

【导师】 何剪太；

【作者基本信息】 中南大学 ， 普通外科学临床， 2010， 硕士

【摘要】 目的：建立我国亚健康状态人群的综合评价指标体系,形成亚健康状态参考诊断标准。确定我国亚健康状态人群的重要临床特征,分析其危险因素。方法：参照国际上比较公认的健康测量量表,如SF-36、WQB、MHIQ、WHOQOL、SRHMS等的内容及制作方法,确定评判指标和量化答案,建立亚健康状态人群特征研究的量化问卷调查表。经过高血压、糖尿病、冠心病、脑卒中、动脉粥样硬化等常见疾病的相关危险因素检测,包括生化、免疫学等实验室检查,心电图、心肺功能等物理检查指标。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例的亚健康状态人群资料。严格质量控制录入,用统计学方法选取变量,用logistic回归及分类树方法建模,从而得到亚健康状态的判别方程及其重要特征。结果：问卷发放2097份,收回1960份,回收率为90.6%；最终合格问卷1863份,合格率87.6%。2种数学模型中logistic回归模型分类准确率较高。亚健康的主要表现复杂多样,涉及到躯体、心理、社会三方面。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、咽喉异物、双腿沉重、注意力下降、口腔溃疡；对周围事情不敢兴趣、失眠、心里空虚感。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。结论：本研究通过采集在我国政治中心、经济发达地区和中部地区等大型医院体检中心的样本,分析表明亚健康量化问卷表可以用于亚健康状态的评判,建立的logistic回归模型是一个较好的亚健康评判方法。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。更多还原

【Abstract】 Objective:To establish comprehensive evaluation system of the sub-health population in China and form the diagnostic criteria. To identify the important characteristics of sub-health status of populations and deeply analyze the risk factors.Methods:Referred to content and manufacture method of internationally recognized health measurement scale, such as the SF-36, WQB, MHIQ, WHOQOL, SRHMS and so on, we set quantitative evaluation index and answer to determine the answers to the establishment of sub-health population characteristics of the questionnaire survey Table. To build risk factors for high blood pressure, diabetes and coronary heart disease, the brain death, atherosclerosis and other common diseases. The examination included biochemical, immunological and other laboratory tests, electrocardiogram, heart and lung function indicators of the physical examination. The total number of samples have been gathered 2097 cases from China’s political center, economically developed regions, and central areas, three hospital including Central South University of Xiangya Hospital, the PLA General Hospital and the First People’s Hospital of Foshan,. Date were entered with strictly quality controlled. Variables were selected with statistical methods. Logistic regression model and classification tree model were established to gain the final regression equation and important characteristics.Results:2097 cases of questionnaires were sent out.1960 cases were returned and 1863 cases were eligible. The returned rate were 90.6% and the eligibility rate were 87.6%. In the two kinds of mathematical models, logistic regression model classification accuracy is higher. The Sub-health symptoms are diverse, involving physical, psychological, social three aspects. 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.. The risk factors are:family conflicts, lack of sleeping, lack of exercise, lack of personal beliefs.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.更多还原