Lau E M, Gillespie B G, Valenti L, O'Connell D
Centre for Clinical Epidemiology and Biostatistics, University of Newcastle.
Aust J Public Health. 1995 Feb;19(1):76-80. doi: 10.1111/j.1753-6405.1995.tb00301.x.
The seasonal pattern in hip fracture rates and its relationship to weather variables was studied using hospital admission data for New South Wales. There was a consistent seasonal pattern for hip fracture, with a trough in the summer and a peak in the winter, for the six years for which data were available: 1981, 1983, 1986, 1988, 1989 and 1990. The seasonal trends for all years were statistically significant (P < 0.01) in men and in women, and in people who were 75 years and over. The relationship between the monthly admission rates for hip fracture in Sydney and such weather variables as mean daily minimum temperature, mean cloud cover, number of days with strong wind, number of days of fog, number of days of mist and number of days with 0.1 mm or more rainfall in a month were studied by Poisson regression. The mean daily minimum temperature for each month was the single weather variable independently and consistently associated with the monthly rates of hip fracture in both younger and older people. For the first time, a seasonal pattern for hip fracture and its close association with monthly temperature in Australia has been demonstrated.
利用新南威尔士州的医院入院数据，研究了髋部骨折发生率的季节性模式及其与天气变量的关系。在可获取数据的1981年、1983年、1986年、1988年、1989年和1990年这六年中，髋部骨折存在一致的季节性模式，夏季为低谷，冬季为高峰。所有年份的季节性趋势在男性、女性以及75岁及以上人群中均具有统计学意义（P < 0.01）。通过泊松回归研究了悉尼髋部骨折每月入院率与诸如日平均最低气温、平均云量、大风天数、雾天天数、薄雾天数以及月降雨量达0.1毫米或以上的天数等天气变量之间的关系。每月的日平均最低气温是唯一与年轻人和老年人的髋部骨折月发生率独立且持续相关的天气变量。澳大利亚首次证明了髋部骨折的季节性模式及其与月气温的密切关联。
