title: Comprehensive smoking bans and acute myocardial infarction among Medicare enrollees in 387 US counties: 1999-2008.
abstract: Restrictions on smoking in public places have become increasingly widespread in the United States, particularly since the year 2005. National-scale studies in Europe and local-scale studies in the United States have found decreases in hospital admissions for acute myocardial infarction (AMI) following smoking bans. The authors analyzed AMI admission rates for the years 1999-2008 in 387 US counties that enacted comprehensive smoking bans across 9 US states, using a study population of approximately 6 million Medicare enrollees aged 65 years or older. Effects of smoking bans on AMI admissions were estimated by using Poisson regression with linear and nonlinear adjustment for secular trend and random effects at the county level. Under the assumption of linearity in the secular trend of declining AMI, smoking bans were associated with a statistically significant ban-associated decrease in admissions for AMI in the 12 months following the ban. However, the estimated effect was attenuated to nearly zero when the assumption of linearity in the underlying trend was relaxed. This analysis demonstrates that estimation of potential health benefits associated with comprehensive smoking bans is challenged by the need to adjust for nonlinearity in secular trend.
authors.affiliation: Biostatistics Department, Harvard School of Public Health, Boston, MA, USA. cbarr@hsph.harvard.edu
authors.forename: Christopher D
authors.initials: CD
authors.lastname: Barr
authors.forename: David M
authors.initials: DM
authors.lastname: Diez
authors.forename: Yun
authors.initials: Y
authors.lastname: Wang
authors.forename: Francesca
authors.initials: F
authors.lastname: Dominici
authors.forename: Jonathan M
authors.initials: JM
authors.lastname: Samet
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D015331:Cohort Studies; D033161:Government Regulation; D006801:Humans; D016014:Linear Models; D009111:Local Government; D006278:Medicare / Q000706:statistics & numerical data; D015233:Models, Statistical; D009203:Myocardial Infarction / Q000453:epidemiology / Q000209:etiology / Q000517:prevention & control*; D010343:Patient Admission / Q000706:statistics & numerical data; D016012:Poisson Distribution; D012189:Retrospective Studies; D012907:Smoking / Q000009:adverse effects / Q000331:legislation & jurisprudence; D000074606:Smoking Prevention; D014028:Tobacco Smoke Pollution / Q000009:adverse effects / Q000331:legislation & jurisprudence / Q000517:prevention & control*; D014481:United States / Q000453:epidemiology
chemical_list: D014028:Tobacco Smoke Pollution