Methods: Data on all public hospital AMI admissions from Hong Kong were collected from 2000-2009 were collected. Generalized additive Poisson regression models were used to model the association between time trend, seasonality and meteorological variables and daily AMI admissions.
Results: The mean number of daily AMI admissions was 13.6. Before the introduction of the first smoking ban there was no consistent long-term trend in AMI hospitalization which first rose from 2001-2003, then declined until 2006. Hospitalizations rose slightly in 2007 and then sharply beginning in late 2008. Neither phase of the smoking ban was accompanied by a notable drop in hospitalizations. In terms of seasonality hospitalizations peaked December-February and were lowest from May-October. Colder temperatures were associated with more AMI hospitalization with an approximate 4% increase in hospitalization being associated with a 1C lower mean temperature over the previous 21 days. Higher humidity was modestly associated with fewer hospitalizations.
Discussion: Unlike previous studies our study did not find a sharp drop in AMI hospitalizations following the introduction of a public smoking ban. Other factors may influence long-term trends in AMI. Further observation of the AMI hospitalization rates in the future is necessary.
Learning Objectives: 1. Recognize the importance of meteorological conditions as a risk factor for myocardial infarction. 2. Discuss the possible reasons that the onset of a public smoking ban in Hong Kong was not accompanied by a decrease in myocardial infarction rates.