Mackenbach J P, Looman C W, Kunst A E
Department of Public Health and Social Medicine, Eramus University Medical School, Rotterdam, The Netherlands.
J Epidemiol Community Health. 1993 Apr;47(2):121-6. doi: 10.1136/jech.47.2.121.
To explore whether the apparent low threshold for the mortality effects of air pollution could be the result of confounding.
The associations between mortality and sulphur dioxide (SO2) were analysed taking into account potential confounding factors.
The Netherlands, 1979-87.
The number of deaths listed by the day on which the death occurred and by the cause of death were obtained from the Netherlands Central Bureau of Statistics. Mortality from all causes and mortality from four large groups of causes (neoplasms, cardiovascular diseases, respiratory diseases, and external causes) were related to the daily levels of SO2 air pollution and potential confounders (available from various sources) using log-linear regression analysis. Variables considered as potential confounders were: average temperature; difference between maximum and minimum temperatures; amount of precipitation; air humidity; wind speed; influenza incidence; and calendar year, month, and weekday. Both lagged and unlagged effects of the meteorological and influenza variables were considered. Average temperature was represented by two variables--'cold', temperatures below 16.5 degrees C, and 'warm', those above 16.5 degrees C--to allow for the V shaped relation between temperature and mortality. The positive regression coefficient for the univariate effect of SO2 density on mortality from all causes dwindles to close to zero when all potential confounding variables are taken into account. The most important of these represents the lagged (one to five days) effect of low temperatures. Low temperatures have strong lagged effects on mortality, and often precede relatively high SO2 densities in the Netherlands. Results were similar for separate causes of death. While univariate associations suggest an effect of air pollution on mortality in all four cause of death groups, multivariate analyses show these effects, including that on mortality from respiratory diseases, are a result of confounding.
The SO2 density (or that of compounds closely associated with SO2) does not seem to have any short term effect on mortality in the Netherlands. SO2 levels higher than those currently reached in the Netherlands (above 200 micrograms/m3) may have a measurable effect on mortality and this should be investigated. Furthermore, analyses of the public health impact of outdoor air pollution should properly control for the lagged effects of temperature.
探讨空气污染对死亡率影响的明显低阈值是否可能是混杂因素导致的结果。
分析死亡率与二氧化硫(SO₂)之间的关联,并考虑潜在的混杂因素。
荷兰,1979 - 1987年。
从荷兰中央统计局获取按死亡日期和死因列出的死亡人数。使用对数线性回归分析,将所有原因导致的死亡率以及四大类原因(肿瘤、心血管疾病、呼吸系统疾病和外部原因)导致的死亡率与每日SO₂空气污染水平及潜在混杂因素(可从各种来源获取)相关联。被视为潜在混杂因素的变量包括:平均温度;最高温度与最低温度之差;降水量;空气湿度;风速;流感发病率;以及日历年份、月份和工作日。同时考虑了气象和流感变量的滞后和非滞后效应。平均温度由两个变量表示——“寒冷”,温度低于16.5摄氏度,以及“温暖”,温度高于16.5摄氏度——以考虑温度与死亡率之间的V形关系。当考虑所有潜在混杂变量时,SO₂密度对所有原因导致的死亡率的单变量效应的正回归系数降至接近零。其中最重要的是低温的滞后(一至五天)效应。低温对死亡率有强烈的滞后效应,且在荷兰通常先于相对较高的SO₂密度出现。各死因的结果相似。虽然单变量关联表明空气污染对所有四个死因组的死亡率都有影响,但多变量分析显示这些影响,包括对呼吸系统疾病死亡率的影响,是混杂因素导致的结果。
在荷兰,SO₂密度(或与SO₂密切相关的化合物的密度)似乎对死亡率没有任何短期影响。高于荷兰目前达到的水平(高于200微克/立方米)的SO₂水平可能对死亡率有可测量的影响,对此应进行调查。此外,对室外空气污染的公共卫生影响进行分析时应适当控制温度的滞后效应。