Table 3. Mean percentage change and slope coefficients of standardized daily and monthly counts of road-traffic injuries, alcoholism, and non-traffic injuries before and after intervention in Guangzhou, China.
Daily counts | Monthly counts | |||||
% change (95% CI) |
Pre-slope (%, P value) |
Post-slope (%, P value) |
% change (95% CI) |
Pre-slope (%, P value) |
Post-slope (%, P value) |
|
Road-traffic injuriesa | −9.6 (−12.8, −6.5) |
−0.002 (0.325) |
−0.006 (0.004) |
−11.9 (−19.7, −4.0) |
−0.13 (0.67) |
−0.36 (0.03) |
Alcoholismb | 38.8 (35.1, 42.4) |
0.060 (<0.001) |
0.057 (<0.001) |
40.1 (28.4, 51.8) |
1.79 (<0.001) |
1.71 (<0.001) |
Non-traffic injuriesb | 3.6 (1.4, 5.8) |
0.009 (0.003) |
0.006 (<0.001) |
2.8 (−3.5, 9.1) |
0.32 (0.22) |
0.21 (0.10) |
CI, confidence interval.
aRoad-traffic-related injuries were standardized as a unit of 1 million population and 1 million vehicles.
bAlcoholism and non-traffic-related injuries were standardized as a unit of 1 million population. These estimates were obtained from the generalized additive model described in the “Statistical analysis” section.