Filleul L, Baldi I, Dartigues J-F, Tessier J-F
Laboratoire Santé Travail Environnement, Université de Bordeaux 2, 146 rue Léo Saignat, 33076 Bordeaux, France.
Occup Environ Med. 2003 Sep;60(9):684-8. doi: 10.1136/oem.60.9.684.
Air pollution has been linked to increased rates of mortality, but little is known about individual characteristics related to the increase in risk.
To examine short term effects of air pollution on daily mortality in elderly people in Bordeaux and compare characteristics of subjects > or =65 years old who died with levels of particulate air pollution.
Daily mortality data from Bordeaux were used to determine the core model of mortality for the period 1988-97. The air pollution indicator was regressed on the core model of mortality, allowing control of the main effect modifiers and confounding factors of air pollution on the same day. The residual series of this regression model was classified from the lowest to the highest to determine "low level days" and "high level days". A sample of 1469 elderly people in a French cohort study were studied.
From 1988 to 1997, 543 subjects died; 55 deaths were during days with low air pollution and 51 during days with high air pollution. Only gender differed significantly according to both types of days, with a proportion of women significantly higher in high air pollution days than men. After adjustment for smoking habits, the odds ratio was 5.2 for women.
The risk of mortality between women and men was determined on days with "high air pollution levels" above the 50-90th centiles compared to below the 10th centile. No clear pattern was observed between days with low levels of air pollution and the different centiles of exposure.
空气污染已被证明与死亡率上升有关,但对于与风险增加相关的个体特征却知之甚少。
研究空气污染对波尔多老年人每日死亡率的短期影响,并比较65岁及以上死亡者的特征与空气中颗粒物污染水平。
使用波尔多的每日死亡率数据来确定1988 - 1997年期间死亡率的核心模型。将空气污染指标回归到死亡率核心模型上,以便控制同一天空气污染的主要效应修饰因素和混杂因素。该回归模型的残差序列按从低到高进行分类,以确定“低水平日”和“高水平日”。对法国一项队列研究中的1469名老年人样本进行了研究。
1988年至1997年期间,543名受试者死亡;55例死亡发生在空气污染水平低的日子,51例发生在空气污染水平高的日子。仅性别在这两种类型的日子里有显著差异,空气污染水平高的日子里女性比例显著高于男性。在调整吸烟习惯后,女性的比值比为5.2。
与低于第10百分位数相比,在空气污染水平处于第50 - 90百分位数以上的“高污染水平日”,确定了女性和男性之间的死亡风险。在空气污染水平低的日子和不同暴露百分位数之间未观察到明确模式。