PoliticalFactorsAffectingtheEnactmentofState-Level CleanIndoorAirLaws

Objectives. We examined the effects of key political institutional factors on the advancement of state-level clean indoor air laws. Methods. We performed an observational study of state-level clean indoor air law enactment among all 50 US states from 1993 to 2010 by using extended Cox hazard models to assess risk of enacting a relevant law. Results. During the 18-year period from 1993 to 2010, 28 states passed a law covering workplaces, 33 states passed a law covering restaurants, 29 states passed a law covering bars, and 16 states passed a law covering gaming facilities. States with term limits had a 2.15 times greater hazard (95% confidence interval [CI] = 1.27, 3.65; P = .005) of enacting clean indoor air laws. The presence of state-level preemption of local clean indoor air laws was associated with a 3.26 times greater hazard (95% CI = 1.11, 9.53; P= .031) of state-level policy enactment. In the presence of preemption, increased legislative professionalism was strongly associated (hazard ratio = 3.28; 95% CI = 1.10, 9.75; P = .033) with clean indoor air law enactment. Conclusions. Political institutional factors do influence state-level clean indoor air law enactment and may be relevant to other public health policy areas. (Am J Public Health. 2014;104:e92‐e97. doi:10.2105/AJPH.2013.301689)

[1]  S. Glantz,et al.  Clean Air Now, But a Hazy Future: Tobacco Industry Political Influence and Tobacco Policy Making in Ohio 1997-2007 , 2007 .

[2]  Jennifer L. Pomeranz,et al.  Assessing the impact of federal and state preemption in public health: a framework for decision makers. , 2013, Journal of public health management and practice : JPHMP.

[3]  Julia Field Costich,et al.  Coded Statutory Data Sets for Evaluation of Public Health Law , 2012, Evaluation review.

[4]  Kenneth C. Land,et al.  5. Modeling Multiple Failure Time Data: A Survey of Variance-Corrected Proportional Hazards Models with Empirical Applications to Arrest Data , 2003 .

[5]  Charles R. Shipan,et al.  Bottom-Up Federalism: The Diffusion of Antismoking Policies from U.S. Cities to States , 2006 .

[6]  D. Levy,et al.  The effects of clean indoor air laws: what do we know and what do we need to know? , 2003, Health education research.

[7]  D. Mozaffarian,et al.  The Preventable Causes of Death in the United States: Comparative Risk Assessment of Dietary, Lifestyle, and Metabolic Risk Factors , 2009, PLoS medicine.

[8]  S. Glantz,et al.  Competing initiatives: a new tobacco industry strategy to oppose statewide clean indoor air ballot measures. , 2009, American journal of public health.

[9]  C. Mooney.  Term Limits as a Boon to Legislative Scholarship: A Review , 2009, State Politics & Policy Quarterly.

[10]  William D. Berry,et al.  Measuring Citizen and Government Ideology in the U.S. States: A Re-appraisal , 2010, State Politics & Policy Quarterly.

[11]  Frank Chaloupka,et al.  The Economic Impact of Clean Indoor Air Laws , 2007, CA: a cancer journal for clinicians.

[12]  A. Gielen,et al.  Legislator voting and behavioral science theory: a systematic review. , 2012, American journal of health behavior.

[13]  Charles R. Shipan,et al.  The mechanisms of policy diffusion , 2008 .

[14]  M. Siegel,et al.  Preemption in tobacco control. Review of an emerging public health problem. , 1997, JAMA.

[15]  Hannalori S. Bates,et al.  Preventing childhood obesity through state policy. Predictors of bill enactment. , 2008, American journal of preventive medicine.

[16]  P. Squire,et al.  Measuring State Legislative Professionalism: The Squire Index Revisited , 2007, State Politics & Policy Quarterly.

[17]  J. Mosher,et al.  Preemption or Prevention?: Lessons from Efforts to Control Firearms, Alcohol, and Tobacco , 1998, Journal of public health policy.

[18]  J. Matsusaka.  For the Many or the Few: The Initiative, Public Policy, and American Democracy , 2004 .

[19]  Stephen D. Babb,et al.  The Impact of State Preemption of Local Smoking Restrictions on Public Health Protections and Changes in Social Norms , 2012, Journal of environmental and public health.

[20]  Joel A. Thompson,et al.  For Whom the Bell Tolls: Term Limits and State Legislatures , 1992 .

[21]  A. Lupia,et al.  DIRECT DEMOCRACY: New Approaches to Old Questions , 2004 .

[22]  L J Wei,et al.  An overview of statistical methods for multiple failure time data in clinical trials. , 1997, Statistics in medicine.