title: Dimensions underlying legislator support for tobacco control policies.
abstract: OBJECTIVE
  To propose and test a new classification system for characterising legislator support for various tobacco control policies.
  
  
  METHODS
  Cross sectional study.
  
  
  METHODS
  Federal and provincial legislators in Canada serving as of October 1996 who participated in the Canadian Legislator Study (n = 553; response rate 54%).
  
  
  METHODS
  A three factor model (Voters, Tobacco industry, Other interest groups) that assigns nine tobacco control policies according to legislators' hypothesised perceptions of which group is more directly affected by these policies.
  
  
  RESULTS
  Based on confirmatory factor analysis, the proposed model had an acceptable fit and showed construct validity. Multivariate analysis indicated that three of the predictors (believing that the government has a role in health promotion, being a non-smoker, and knowledge that there are more tobacco than alcohol caused deaths) were associated with all three factor scales. Several variables were associated with two of the three scales. Some were unique to each scale.
  
  
  CONCLUSIONS
  Based on our analyses, legislator support for tobacco control policies can be grouped according to our a priori factor model. The information gained from this work can help advocates understand how legislators think about different types of tobacco control policies. This could lead to the development of more effective advocacy strategies.
authors.affiliation: Ontario Tobacco Research Unit, Centre for Health Promotion, University of Toronto, Toronto, Ontario, Canada. ndeguia@cihi.ca
authors.forename: N A
authors.initials: NA
authors.lastname: de Guia
authors.forename: J E
authors.initials: JE
authors.lastname: Cohen
authors.forename: M J
authors.initials: MJ
authors.lastname: Ashley
authors.forename: R
authors.initials: R
authors.lastname: Ferrence
authors.forename: J
authors.initials: J
authors.lastname: Rehm
authors.forename: D T
authors.initials: DT
authors.lastname: Studlar
authors.forename: D
authors.initials: D
authors.lastname: Northrup
mesh_terms: D000704:Analysis of Variance; D002170:Canada; D003430:Cross-Sectional Studies; D006291:Health Policy / Q000331:legislation & jurisprudence; D006801:Humans; D015999:Multivariate Analysis; D011057:Politics; D011639:Public Opinion; D012907:Smoking / Q000331:legislation & jurisprudence; D000074606:Smoking Prevention; D019460:Tobacco Industry / Q000331:legislation & jurisprudence