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Abstract
Prueitt and Goodman raise concerns about our use of chronic ozone mortality relative
risk (RR) estimates from Jerrett et al. (2009) to estimate the global burden of outdoor
ozone and fine particulate matter (< 2.5 μm in aerodynamic diameter; PM2.5) on human
mortality (Anenberg et al. 2010). We believe that our use of RR estimates from Jerrett
et al. (2009) is justified and does not strongly affect our conclusions. Our goal
of demonstrating the use of chemical transport models in estimating the global burden
of outdoor air pollution on mortality is not affected by the choice of risk estimates.
Further, using chronic RR estimates for ozone has only a minor effect on our mortality
estimates, because the mortalities attributed to PM2.5 are much greater than those
for ozone.
We chose to use RR estimates from Jerrett et al. (2009) in our study (Anenberg et
al. 2010) because they are consistent with the widely accepted RR estimates used for
long-term PM2.5 mortality (Krewski et al. 2009), as both are based on the American
Cancer Society study cohort and capture delayed mortality effects (National Research
Council 2008).
In response to particular criticisms, we note that while Jerrett et al. (2009) found
the first significant positive association between chronic ozone exposure and mortality
in a major cohort study, some previous smaller cohort studies have also found positive
associations (National Research Council 2008). Biological plausibility for chronic
ozone effects on respiratory mortality is evidenced by toxicology and human exposure
studies that found that ozone affects airway inflammation, pulmonary function, and
asthma induction and exacerbation (National Research Council 2008). Using earlier
PM2.5 data would be unlikely to affect confounding in the model, because using PM2.5
data from 1979–1983 and 1999–2000 yields similar PM2.5 mortality associations (e.g.,
Krewski et al. 2009). Jerrett et al. (2009) also found that socioeconomic data are
not strong confounders and that using more recent data is unlikely to change that
conclusion (see Appendix of Jerrett et al. 2009). Finally, national risk estimates
are more applicable globally than city-specific estimates because they include larger
and more diverse populations.
However, because the evidence for chronic ozone mortality is more limited than the
large body of evidence demonstrating mortality associations with short-term ozone
exposure, we present here estimates of the global burden of ozone on mortality using
RR estimates from Bell et al. (2004), a large multicity study of short-term ozone
mortality. We estimated mortalities daily using the difference between preindustrial
and present-day 8-hr maximum ozone, and sum mortalities over the 1-year simulation.
We used the reported relationship for cardiopulmonary mortality and daily average
ozone [0.64% (95% posterior interval, 0.31–0.98%) for a 10-ppb increase], and corrected
to 8-hr ozone using the reported ratio between daily 8-hr and 24-hr average ozone
associations with nonaccidental mortality.
Using these methods, we estimated 362,000 (95% confidence interval, 173,000–551,000)
annual global premature cardiopulmonary deaths attributable to ozone, approximately
50% of the 700,000 premature deaths we calculated in our original study (Anenberg
et al. 2010). Since estimated deaths due to PM2.5 (3.7 million) are an order of magnitude
larger, using a short-term rather than long-term RR estimate for ozone has only a
minor effect on the overall global burden of disease due to outdoor air pollution.
As RRs for chronic ozone mortality are not as strongly supported as those for PM2.5,
we expect that estimates of mortality burden will improve as research on chronic ozone
exposure and mortality continues globally.
Although many studies have linked elevations in tropospheric ozone to adverse health outcomes, the effect of long-term exposure to ozone on air pollution-related mortality remains uncertain. We examined the potential contribution of exposure to ozone to the risk of death from cardiopulmonary causes and specifically to death from respiratory causes. Data from the study cohort of the American Cancer Society Cancer Prevention Study II were correlated with air-pollution data from 96 metropolitan statistical areas in the United States. Data were analyzed from 448,850 subjects, with 118,777 deaths in an 18-year follow-up period. Data on daily maximum ozone concentrations were obtained from April 1 to September 30 for the years 1977 through 2000. Data on concentrations of fine particulate matter (particles that are < or = 2.5 microm in aerodynamic diameter [PM(2.5)]) were obtained for the years 1999 and 2000. Associations between ozone concentrations and the risk of death were evaluated with the use of standard and multilevel Cox regression models. In single-pollutant models, increased concentrations of either PM(2.5) or ozone were significantly associated with an increased risk of death from cardiopulmonary causes. In two-pollutant models, PM(2.5) was associated with the risk of death from cardiovascular causes, whereas ozone was associated with the risk of death from respiratory causes. The estimated relative risk of death from respiratory causes that was associated with an increment in ozone concentration of 10 ppb was 1.040 (95% confidence interval, 1.010 to 1.067). The association of ozone with the risk of death from respiratory causes was insensitive to adjustment for confounders and to the type of statistical model used. In this large study, we were not able to detect an effect of ozone on the risk of death from cardiovascular causes when the concentration of PM(2.5) was taken into account. We did, however, demonstrate a significant increase in the risk of death from respiratory causes in association with an increase in ozone concentration. 2009 Massachusetts Medical Society
Ozone has been associated with various adverse health effects, including increased rates of hospital admissions and exacerbation of respiratory illnesses. Although numerous time-series studies have estimated associations between day-to-day variation in ozone levels and mortality counts, results have been inconclusive. To investigate whether short-term (daily and weekly) exposure to ambient ozone is associated with mortality in the United States. Using analytical methods and databases developed for the National Morbidity, Mortality, and Air Pollution Study, we estimated a national average relative rate of mortality associated with short-term exposure to ambient ozone for 95 large US urban communities from 1987-2000. We used distributed-lag models for estimating community-specific relative rates of mortality adjusted for time-varying confounders (particulate matter, weather, seasonality, and long-term trends) and hierarchical models for combining relative rates across communities to estimate a national average relative rate, taking into account spatial heterogeneity. Daily counts of total non-injury-related mortality and cardiovascular and respiratory mortality in 95 large US communities during a 14-year period. A 10-ppb increase in the previous week's ozone was associated with a 0.52% increase in daily mortality (95% posterior interval [PI], 0.27%-0.77%) and a 0.64% increase in cardiovascular and respiratory mortality (95% PI, 0.31%-0.98%). Effect estimates for aggregate ozone during the previous week were larger than for models considering only a single day's exposure. Results were robust to adjustment for particulate matter, weather, seasonality, and long-term trends. These results indicate a statistically significant association between short-term changes in ozone and mortality on average for 95 large US urban communities, which include about 40% of the total US population. The findings indicate that this widespread pollutant adversely affects public health.
Background Ground-level concentrations of ozone (O3) and fine particulate matter [≤ 2.5 μm in aerodynamic diameter (PM2.5)] have increased since preindustrial times in urban and rural regions and are associated with cardiovascular and respiratory mortality. Objectives We estimated the global burden of mortality due to O3 and PM2.5 from anthropogenic emissions using global atmospheric chemical transport model simulations of preindustrial and present-day (2000) concentrations to derive exposure estimates. Methods Attributable mortalities were estimated using health impact functions based on long-term relative risk estimates for O3 and PM2.5 from the epidemiology literature. Using simulated concentrations rather than previous methods based on measurements allows the inclusion of rural areas where measurements are often unavailable and avoids making assumptions for background air pollution. Results Anthropogenic O3 was associated with an estimated 0.7 ± 0.3 million respiratory mortalities (6.3 ± 3.0 million years of life lost) annually. Anthropogenic PM2.5 was associated with 3.5 ± 0.9 million cardiopulmonary and 220,000 ± 80,000 lung cancer mortalities (30 ± 7.6 million years of life lost) annually. Mortality estimates were reduced approximately 30% when we assumed low-concentration thresholds of 33.3 ppb for O3 and 5.8 μg/m3 for PM2.5. These estimates were sensitive to concentration thresholds and concentration–mortality relationships, often by > 50%. Conclusions Anthropogenic O3 and PM2.5 contribute substantially to global premature mortality. PM2.5 mortality estimates are about 50% higher than previous measurement-based estimates based on common assumptions, mainly because of methodologic differences. Specifically, we included rural populations, suggesting higher estimates; however, the coarse resolution of the global atmospheric model may underestimate urban PM2.5 exposures.
Publisher:
National Institute of Environmental Health Sciences
ISSN
(Print):
0091-6765
ISSN
(Electronic):
1552-9924
Publication date
(Print):
April
2011
Volume: 119
Issue: 4
Pages: 158-159
Affiliations
The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, E-mail:
jasonwest@
123456unc.edu
NOAA Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey
Science and Technology Corporation at NOAA Air Resources Laboratory, Silver Spring,
Maryland
Author notes
S.C.A. and J.J.W. received unrestricted funding from the Merck Foundation to support
a related project, and the Merck Foundation was unaware of this research. D.Q.T. is
an employee of Science and Technology Corporation, working at NOAA facilities. L.W.H.
declares he has no competing financial interests.
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