A. Zeghnoun et al., Short-term effects of air pollution on mortality in the cities of Rouen and Le Havre, France, 1990-1995, ARCH ENV HE, 56(4), 2001, pp. 327-335
In this study, the authors examined the short-term effects of ambient air p
ollution on mortality across 2 French cities: Rouen and Le Havre. In Poisso
n regression models, which controlled for day-of-week effects, the authors
used nonparametric smoothing to control for temporal trend, weather, and in
fluenza epidemics. In Rouen, an interquartile range increase of 60.5-94.1 m
ug/m(3) of ozone was associated with an increase of 4.1% (95% confidence in
terval = 0.6, 7.8) of total mortality. Daily variations in sulfur dioxide (
interquartile range increase = 17.6-36.4 mug/m(3)) were also associated wit
h an 8.2% increase (95% confidence interval = 0.4, 16.6) in respiratory mor
tality. An increase of 6.1% (95% confidence interval = 1.5, 10.9) of cardio
vascular mortality was also observed with an interquartile range increase o
f nitrogen dioxide (i.e., 25.3-42.2 mug/m(3)). With respect to Le Havre, an
interquartile range increase in daily levels of sulfur dioxide (11.3-35.6
mug/m(3)) was associated with an increase of approximately 3% (95% confiden
ce interval = 0.8, 5) of cardiovascular mortality. For particulate matter l
ess than or equal to 13 mum in diameter (interquartile increase = 21.5, 45.
4 mug/m(3)), an increase of 6.2% (95% confidence interval = 0.1, 12.8) was
observed. The estimates of pollutant effects and their standard deviations
were slightly affected by the degree of smoothing temporal variations in th
is study. When low collinearity was present, the 2-pollutant models provide
d acceptable estimates of pollutant effects. They suggested that the ozone
effect was independent of the Black Smoke effect, and that the effects of s
ulfur dioxide and nitrogen dioxide were unlikely to be confounded by ozone
concentrations. However, high collinearity leads to large estimates of the
pollutant coefficient variances and, therefore, leads to inaccurate estimat
es of pollutant effects. The analysis of the contributory effects of differ
ent pollutant mixtures requires further investigation in those instances in
which high collinearity between pollutants is present.