Teikari J M, O'Donnell J, Nurminen M, Raivio I
Department of Public Health, University of Helsinki, Finland.
J Epidemiol Community Health. 1991 Dec;45(4):291-3. doi: 10.1136/jech.45.4.291.
The aim was to examine a possible association of amount of sunshine and risk for acute closed angle glaucoma.
This was a retrospective analysis of hospital discharge registry data, linked to meteorological data for the same period.
The study was a national survey using hospital discharge data for the whole of Finland over a 10 year period.
All subjects with the acute closed angle glaucoma diagnosis from the hospital discharge registry were collected for the years 1972 to 1982. A total of 1796 patients were found.
Meteorological data from two cities in Finland, Helsinki and Oulu, were collected for the same years from the Finnish Meteorological Institute. A peak incidence of acute closed angle glaucoma was noted whenever the number of hours without sunshine increased. A regression analysis including incidence of acute closed angle glaucoma as a dependent variable, and sex, mean temperature, mean air pressure, mean humidity, total amount of rain per month, and mean sunshine hours as independent variables, was constructed. Sex and sunshine hours best explained the variation in incidence in a covariate model. No other meteorological variate could improve the model fit.
The result confirms that the number of hours without sunshine is positively associated with the incidence of acute closed angle glaucoma, when other meteorological variables are controlled for.
旨在探讨日照时长与急性闭角型青光眼风险之间可能存在的关联。
这是一项对医院出院登记数据的回顾性分析，并与同期的气象数据相关联。
该研究是一项全国性调查，使用了芬兰全国10年间的医院出院数据。
收集了1972年至1982年期间医院出院登记中所有诊断为急性闭角型青光眼的患者。共发现1796例患者。
从芬兰气象研究所收集了芬兰赫尔辛基和奥卢两个城市同年的气象数据。每当无日照时长增加时，急性闭角型青光眼的发病率就会出现峰值。构建了一个回归分析模型，将急性闭角型青光眼的发病率作为因变量，将性别、平均温度、平均气压、平均湿度、每月总降雨量和平均日照时长作为自变量。在协变量模型中，性别和日照时长最能解释发病率的变化。没有其他气象变量能改善模型拟合。
结果证实，在控制其他气象变量的情况下，无日照时长与急性闭角型青光眼的发病率呈正相关。
