Gasparrini Antonio, Gorini Giuseppe, Barchielli Alessandro
Public and Environmental Health Research Unit, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK.
Eur J Epidemiol. 2009;24(10):597-602. doi: 10.1007/s10654-009-9377-0. Epub 2009 Aug 1.
During the last few years several studies have reported a substantial reduction of acute myocardial infarction (AMI) in the general population few months after the enforcement of comprehensive smoking bans. We reviewed the consistency and plausibility of this association, investigating the effect of the Italian law, entered into force on January 10, 2005. We compared the AMI incidence on the first year after the ban with the period before (2000-2004) in the Tuscany population aged 30-64 years. The analysis was performed with a Poisson model of the monthly time-series, adjusting for seasonality and comparing different models with linear and non-linear long-term trends. While the model with linear time trend estimated a decrease of 5.4% (RR 0.95; 95% CI: 0.89-1.00), this effect completely disappeared once the linearity assumption was relaxed (RR 1.01; 95% CI: 0.93-1.10). The model with non-linear terms showed a significantly improved fit (P-value = 0.01). The estimate of the effect of the ban seems to be highly sensitive to the model specification and to the effects of unaccounted factors which could modify the trend of AMI incidence, such as changes in the prevalence of other risk factors or the modification of diagnostic criteria. Several arguments which are put forward to inspect the causal relation between smoking bans and AMI indicate that the plausible effects could be lower than the estimates reported so far.
在过去几年中,多项研究报告称,在全面实施禁烟令后的几个月里,普通人群的急性心肌梗死(AMI)发病率大幅下降。我们回顾了这种关联的一致性和合理性,研究了于2005年1月10日生效的意大利法律的影响。我们比较了禁令实施后第一年30 - 64岁托斯卡纳人群中的AMI发病率与之前时期(2000 - 2004年)的发病率。分析采用每月时间序列的泊松模型进行,对季节性进行了调整,并比较了具有线性和非线性长期趋势的不同模型。虽然具有线性时间趋势的模型估计下降了5.4%(相对风险RR为0.95;95%置信区间:0.89 - 1.00),但一旦放宽线性假设,这种效应就完全消失了(RR为1.01;95%置信区间:0.93 - 1.10)。具有非线性项的模型显示拟合度显著提高(P值 = 0.01)。禁令效果的估计似乎对模型设定以及未考虑因素的影响高度敏感,这些未考虑因素可能会改变AMI发病率的趋势,例如其他风险因素患病率的变化或诊断标准的改变。提出的用于考察禁烟令与AMI之间因果关系的几个论据表明,可能的影响可能低于迄今为止报告的估计值。