Neas L M, Schwartz J, Dockery D
Environmental Epidemiology Program, Department of Environmental Health, Harvard School of Public Health, Boston, Massachusetts 02115, USA.
Environ Health Perspect. 1999 Aug;107(8):629-31. doi: 10.1289/ehp.99107629.
This study reassessed Schwartz and Dockery's analysis of daily mortality from nonexternal causes among residents of Philadelphia, Pennsylvania, over 8 years, from 1973 to 1980 [American Review of Respiratory Disease 145:600-604 (1992)]. A Poisson regression analysis using the same model found that a 100-microg/m(3) increment in the 48-hr mean concentration of total suspended particulates (TSP) was associated with increased all-cause mortality [rate ratio = 1.069; 95% confidence interval (CI), 1.043-1.096) after adjustment for quadratic trend, season, year, previous day's mean temperature, dew point, winter temperature, and indicators of hot (temperature > 80 degrees F) and humid days (dew point > 66 degrees F). Critics suggested that time-varying factors such as season and day of week were not sufficiently controlled in this analysis and subsequent studies in other locations. We used a conditional logistic regression analysis with a case-crossover design to reanalyze the data, with air pollution in the prior and subsequent weeks to the day of death serving as referent periods. The case-crossover approach controls for season and day of week by design rather than modeling. We found that a 100-microg/m(3) increment in the 48-hr mean level of TSP was associated with increased all-cause mortality [odds ratio (OR) = 1.056; CI, 1.027-1.086) after adjustment for the same weather variables as above. Similar associations were observed for deaths in individuals over 65 years of age (OR = 1.074; CI, 1. 037-1.111) and for deaths due to cardiovascular disease (OR = 1.063; CI, 1.021-1.107). The current case-crossover analysis confirms the general conclusion of the previous Poisson regression analysis of an association of TSP with daily mortality in Philadelphia, Pennsylvania.
本研究重新评估了施瓦茨和多克里对1973年至1980年宾夕法尼亚州费城居民8年间非外部原因导致的每日死亡率的分析[《美国呼吸疾病评论》145:600 - 604(1992)]。使用相同模型的泊松回归分析发现,在对二次趋势、季节、年份、前一日平均温度、露点、冬季温度以及炎热日(温度>80华氏度)和潮湿日(露点>66华氏度)指标进行调整后,总悬浮颗粒物(TSP)48小时平均浓度每增加100微克/立方米,全因死亡率就会增加[率比 = 1.069;95%置信区间(CI),1.043 - 1.096]。批评者认为,在该分析以及其他地区随后的研究中,季节和星期几等随时间变化的因素没有得到充分控制。我们采用病例交叉设计的条件逻辑回归分析对数据进行重新分析,以死亡当天之前和之后几周的空气污染情况作为参照期。病例交叉方法通过设计而非建模来控制季节和星期几。我们发现,在对上述相同天气变量进行调整后,TSP的48小时平均水平每增加100微克/立方米,全因死亡率就会增加[优势比(OR) = 1.056;CI,1.027 - 1.086]。在65岁以上个体的死亡中(OR = 1.074;CI,1.037 - 1.111)以及心血管疾病导致的死亡中(OR = 1.063;CI,1.021 - 1.107)也观察到了类似的关联。当前的病例交叉分析证实了先前对宾夕法尼亚州费城TSP与每日死亡率之间关联的泊松回归分析的总体结论。