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Relationship between atmospheric pressure and mortality in the MadridAutonomous Region: a time-series study

机译:马德里自治区大气压力与死亡率的关系:时间序列研究

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This study set out to determine the possible influence of variations in atmospheric pressure on mortality in the Madrid Autonomous Region (MAR), taking into account the possible confounding effect of other atmospheric variables. The study was based on daily mortality data from the MAR Revenue and Excise Authority, meteorological data from Getafe Observatory and air pollution data from the Madrid Municipal Automatic Air Pollution Monitoring Grid. A time-series analysis was performed, using Box-Jenkins modelling and controlling for the respective confounding variables. Furthermore, the different variables studied (pressure, temperature, pollutants, etc.) were used to produce a multivariate model of the different causes of mortality. A significant association was found between anticyclonic trend and mortality with circulatory causes in the medium-long term and anticyclonic trend and mortality with respiratory causes in the long term.
机译:这项研究着手确定大气压力变化对马德里自治区(MAR)死亡率的可能影响,同时考虑了其他大气变量的可能混杂影响。该研究基于MAR税收和消费管理局的每日死亡率数据,赫塔菲天文台的气象数据和马德里市自动空气污染监测网的空气污染数据。使用Box-Jenkins模型进行时间序列分析,并控制各个混淆变量。此外,研究的不同变量(压力,温度,污染物等)被用于产生不同死亡率原因的多元模型。在中长期,反气旋趋势和死亡率与循环原因之间存在显着关联,而从长期来看,反气旋趋势和死亡率与呼吸原因之间存在显着关联。

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