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立法者支持烟草控制政策的潜在因素。

Dimensions underlying legislator support for tobacco control policies.

作者信息

de Guia N A, Cohen J E, Ashley M J, Ferrence R, Rehm J, Studlar D T, Northrup D

机构信息

Ontario Tobacco Research Unit, Centre for Health Promotion, University of Toronto, Toronto, Ontario, Canada.

出版信息

Tob Control. 2003 Jun;12(2):133-9. doi: 10.1136/tc.12.2.133.

Abstract

OBJECTIVE

To propose and test a new classification system for characterising legislator support for various tobacco control policies.

DESIGN

Cross sectional study.

SUBJECTS

Federal and provincial legislators in Canada serving as of October 1996 who participated in the Canadian Legislator Study (n = 553; response rate 54%).

MAIN OUTCOME MEASURES

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.

摘要

目的

提出并测试一种新的分类系统,用于描述立法者对各种烟草控制政策的支持情况。

设计

横断面研究。

研究对象

截至1996年10月参与加拿大立法者研究的加拿大联邦和省级立法者(n = 553;回复率54%)。

主要观察指标

一个三因素模型(选民、烟草行业、其他利益集团),该模型根据立法者对哪些群体受这些政策影响更直接的假设认知,对九项烟草控制政策进行分类。

结果

基于验证性因素分析,所提出的模型拟合度可接受,并显示出结构效度。多变量分析表明,其中三个预测因素(认为政府在健康促进中发挥作用、不吸烟以及知晓因烟草导致的死亡多于酒精导致的死亡)与所有三个因素量表相关。几个变量与三个量表中的两个相关。有些则是每个量表所特有的。

结论

基于我们的分析,立法者对烟草控制政策的支持可根据我们预先设定的因素模型进行分组。从这项工作中获得的信息有助于倡导者理解立法者如何看待不同类型的烟草控制政策。这可能会促成更有效的倡导策略的制定。

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Predictors of Canadian legislators' support for tobacco control policies.
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