Table 3 summarizes the PM10 results for four age
groups: all ages, 50 and over, 6–49, and under 6. The
models include the same independent variables as those
used in Table 2. However, because of the high frequency
of missing PM10 data, the estimated concentrations of
PM10, based on airport visual range, were used so that
cumulative exposures could be better examined. The results
indicate an association between PM10 concentrations
and daily mortality across all of the age groups,
including children under age 6. The weakest associations
were for the cohorts under age 6 and ages 6–49, while
the strongest association was for the cohort above age
50. For a three-day lag in PM10, the magnitude of the
effect across the different age groups is quite consistent,
with greater variation in the estimate for the younger
cohorts. As a check on the effect of defining older adults
as 50 and above, we also estimated a model for mortality
at ages 65 and above, and found a result for PM10
very similar to that found for ages 50 and above. When
cumulative exposure (three- or five-day moving average)
was examined, stronger associations were found for all
of the age cohorts. For each of the age cohorts, the magnitude
of the PM10 effect approximately doubled when
the five-day moving average was employed rather than
the three-day lag. For the cumulative exposure measures,
the magnitude of the estimated effect of PM10 on mortality
is very similar across all the age groups.
Table 3 summarizes the PM10 results for four age
groups: all ages, 50 and over, 6–49, and under 6. The
models include the same independent variables as those
used in Table 2. However, because of the high frequency
of missing PM10 data, the estimated concentrations of
PM10, based on airport visual range, were used so that
cumulative exposures could be better examined. The results
indicate an association between PM10 concentrations
and daily mortality across all of the age groups,
including children under age 6. The weakest associations
were for the cohorts under age 6 and ages 6–49, while
the strongest association was for the cohort above age
50. For a three-day lag in PM10, the magnitude of the
effect across the different age groups is quite consistent,
with greater variation in the estimate for the younger
cohorts. As a check on the effect of defining older adults
as 50 and above, we also estimated a model for mortality
at ages 65 and above, and found a result for PM10
very similar to that found for ages 50 and above. When
cumulative exposure (three- or five-day moving average)
was examined, stronger associations were found for all
of the age cohorts. For each of the age cohorts, the magnitude
of the PM10 effect approximately doubled when
the five-day moving average was employed rather than
the three-day lag. For the cumulative exposure measures,
the magnitude of the estimated effect of PM10 on mortality
is very similar across all the age groups.
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