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.