Longitudinal Impact of the Smoking Ban Legislation in Acute Coronary Syndrome Admissions

Table 1

Results of multiple linear regression analyses to detect association between smoke-free legislation and monthly crude rates of ACS admissions per 100000.

	Prelegislation trend (change per month)	Change in trend in postlegislation period compared to prelegislation	Postlegislation trend (change per month)
Overall
β	0.004	−0.006	−0.0018
IC for β	0.0029; 0.0055	value < 0.001	−0.0033; −0.0004
Yearly change%	3.84	5.76	1.73
Males
Β	0.0034	−0.0046	−0.0012
IC for β	0.0021; 0.0047	value = 0.0002	−0.0028; 0.0004
Yearly change%	3.26	4.80	1.15
Females
Β	0.0017	−0.0033	−0.0016
IC for β	0.0008; 0.0023	value = 0.0002	−0.0027; −0.0004
Yearly change%	1.63	−3.17	−1.54
Age ≥ 65
Β	0.0016	−0.01352	−0.0119
IC for β	−0.0018; 0.0051	value < 0.001	−0.01625; −0.0075
Yearly change%	1.54	−12.98	−11.42
Age < 65
Β	0.0011	−0.0052	−0.0483
IC for β	0.0008; 0.0014	value = 0.2692	−0.1573; 0.0607
Yearly change%	1.06	−4.99	−4.64

All regression models were adjusted for seasonal effects.