关键词: 高血压, 气象条件, 相关, 逐步回归

Abstract: Based on the hypertension disease data in the people’ hospital of Dezhou and the ground meteorological data from 1999 to 2008 in Dezhou, four liner models according to the relationships between the number of hypertension patients in four seasons and meteorological conditions were established by a step regression method. Considering the life meteorological index and the method of medical meteorology, the hypertension incidence was divided into 4 levels by a clustering analysis method. Accordingly, the incidence in the different seasons could be predicted. The results indicate that the hypertension incidence is related to air pressure and temperature. The heavy fog could influence the hypertension incidence in winter, while its impact is weak in other season. The level of hypertension incidence increases when the heavy fog occurs in winter, especially for continuous heavy fog weather. There is a negative correlation between the level of hypertension incidence and sunshine duration. The level of hypertension incidence increases because of consecutively cloudy weather and little sunshine duration in autumn and winter.

Key words: Hypertension, Meteorological condition, Correlation, Stepwise regression