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Excess winter mortality in Europe: a cross country analysis identifying key risk factors.

机译:欧洲冬季死亡率过高:一项跨国分析确定了关键的危险因素。

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OBJECTIVE: Much debate remains regarding why certain countries experience dramatically higher winter mortality. Potential causative factors other than cold exposure have rarely been analysed. Comparatively less research exists on excess winter deaths in southern Europe. Multiple time series data on a variety of risk factors are analysed against seasonal-mortality patterns in 14 European countries to identify key relations Subjects and setting: Excess winter deaths (all causes), 1988-97, EU-14. DESIGN: Coefficients of seasonal variation in mortality are calculated for EU-14 using monthly mortality data. Comparable, longitudinal datasets on risk factors pertaining to climate, macroeconomy, health care, lifestyle, socioeconomics, and housing were also obtained. Poisson regression identifies seasonality relations over time. RESULTS: Portugal suffers from the highest rates of excess winter mortality (28%, CI=25% to 31%) followed jointly by Spain (21%, CI=19% to 23%), and Ireland (21%, CI=18% to 24%). Cross country variations in mean winter environmental temperature (regression coefficient (beta)=0.27), mean winter relative humidity (beta=0.54), parity adjusted per capita national income (beta=1.08), per capita health expenditure (beta=-1.19), rates of income poverty (beta=-0.47), inequality (beta=0.97), deprivation (beta=0.11), and fuel poverty (beta=0.44), and several indicators of residential thermal standards are found to be significantly related to variations in relative excess winter mortality at the 5% level. The strong, positive relation with environmental temperature and strong negative relation with thermal efficiency indicate that housing standards in southern and western Europe play strong parts in such seasonality. CONCLUSIONS: High seasonal mortality in southern and western Europe could be reduced through improved protection from the cold indoors, increased public spending on health care, and improved socioeconomic circumstances resulting in more equitable income distribution.
机译:目的:关于某些国家为何冬季死亡率大大提高的争论仍很多。除了冷暴露之外,很少分析潜在的致病因素。在南欧,有关冬季过度死亡的研究相对较少。根据14个欧洲国家的季节性死亡率模式分析了各种风险因素的多个时间序列数据,以确定关键的关系。主题和环境:冬季过度死亡(所有原因),1988-97年,EU-14。设计:使用每月死亡率数据为EU-14计算死亡率的季节性变化系数。还获得了有关气候,宏观经济,卫生保健,生活方式,社会经济学和住房的风险因素的可比较的纵向数据集。泊松回归确定随时间变化的季节性关系。结果:葡萄牙的冬季过高死亡率最高(28%,CI = 25%至31%),其次是西班牙(21%,CI = 19%至23%)和爱尔兰(21%,CI = 18) %至24%)。越野车在冬季平均环境温度(回归系数β= 0.27),冬季平均相对湿度(β= 0.54),按均价调整后的人均国民收入(β= 1.08),人均医疗保健支出(β= 1.19)方面存在差异,收入贫困率(beta = -0.47),不平等(beta = 0.97),贫困(beta = 0.11)和燃料贫困(beta = 0.44),以及住宅温度标准的几个指标与变化显着相关冬季相对死亡率超过5%。与环境温度的强正相关和与热效率的强负相关表明,在这种季节性情况下,南欧和西欧的住房标准发挥着重要作用。结论:可以通过改善对室内寒冷的保护,增加公共医疗保健支出,以及改善社会经济状况,从而实现更加公平的收入分配,来降低南欧和西欧的高季节性死亡率。

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