Skip to main content
. 2020 Feb 25;17(5):1481. doi: 10.3390/ijerph17051481

Table 9.

Modification effects of precipitation.

Male Female
Male Baseline Rate = 47.63 Female Baseline Rate = 24.17
Variables β 95% CI β 95% CI
PM2.5 4.83% *** (3.15%, 6.51%) 3.31% *** (1.65%, 4.96%)
Log 0.24 *** (0.07, 0.4) 0.22 *** (0.14, 0.3)
Lat 0.16 (−0.09, 0.41) 0.52 *** (0.4, 0.64)
Year 2007 5 (−4.6, 14.59) 0.91 (−3.73, 5.55)
Year 2008 6.62 (−2.89, 16.12) 0.57 (−4.03, 5.17)
Year 2009 7.05 * (−1.3, 15.4) 2.82 (−1.22, 6.86)
Year 2010 9.52 ** (1.81, 17.24) 3.47 ** (−0.26, 7.2)
Year 2011 11.91 *** (4.25, 19.57) 4.34 ** (0.63, 8.04)
Year 2012 14.87 *** (7.2, 22.54) 6.03 *** (2.32, 9.74)
Year 2013 12.98 *** (5.55, 20.42) 5.6 *** (2, 9.19)
Year 2014 13.17 *** (5.81, 20.54) 6.35 *** (2.78, 9.91)
Finance −0.17 (−0.45, 0.12) 0.01 (−0.12, 0.15)
Education −0.85 (−2.33, 0.62) −0.59 ** (−1.18, 0.01)
Construction −0.31 (−0.84, 0.22) −0.7 *** (−0.96, −0.44)
Population 0.04 ** (0.01, 0.08) 0.01 (0, 0.03)
Urban-rural 8.88 *** (5.58, 12.18) 3.49 *** (1.91, 5.08)
PM2.5 × Precipitation2 −1.05% (−2.31%, 0.21%) −1.24% ** (−2.48%, 0.00%)
PM2.5 × Precipitation3 2.52% *** (0.84%, 4.20%) 0.01% (−1.65%, 1.65%)

* for p < 0.1, ** for p < 0.05, and *** for p < 0.01. With a 10 μg/m3 change in PM2.5, the change in incidence rate relative to its baseline = (10 × coefficient for PM2.5 or its interaction terms)/baseline incidence rate (i.e., 47.63 and 24.17 per 100,000 people for males and females, respectively).