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目的：探讨日平均气温及其它气象因素与中暑发病的关系。方法：以南京市区２６０万自然人群中１９８８、１９９４及１９９５年３个高温气候年份发生的５６３例重症中暑病例，与逐日的３６项气象因素，即Ｘ１～Ｘ６、Ｍ１１～Ｍ１５……Ｍ６１～Ｍ６５，选用多元回归方程，用逐步回归筛选变量建立优化方程。结果：３年各中暑期的日平均气温及日平均最高气温呈逐年下降趋势，但中暑期逐年明显延长。连续３ｄ的平均日气温Ｍ１２及平均相对湿度Ｍ３２较Ｘ１、Ｘ３对日重症中暑人数影响要大，当连续３ｄ平均气温超过３０℃且相对湿度超过７３％时最易出现中暑。结论：日平均气温的变化对机体生理功能的影响较日最高气温更加持久、明显，连续３ｄ的平均气温可预测中暑发生
Objective: To investigate the relationship between daily average temperature and other meteorological factors and the incidence of heat stroke. Methods: A total of 563 severe heat stroke cases occurred in 3 high-temperature climates in 2,900,000 natural populations in Nanjing City in 1988, 1994 and 1995, and 36 meteorological factors including X1 ~ X6, M11 ~ M15 ... M61 ~ M65, use multiple regression equation, using stepwise regression to filter variables to establish the optimization equation. Results: The average daily temperature and the daily average maximum temperature of each summer vacation season showed a downward trend year by year, but the summer vacation period was significantly prolonged year by year. The average daily temperature M12 and average relative humidity M32 in consecutive 3 days were significantly higher than those of X1 and X3 in the number of severe heat stroke patients. The heat stroke was most likely to occur when the average 3d temperature exceeded 30 ℃ for three consecutive days and the relative humidity exceeded 73%. CONCLUSION: The effect of daily average temperature on the physiological function of the body is more durable than the maximum daily temperature. Obviously, the average temperature of three consecutive days can predict the occurrence of heat stroke