RTI International, 3040 Cornwallis Road, P.O. Box 12194, Research Triangle Park, NC 27709, USA.
Int J Environ Res Public Health. 2011 Sep;8(9):3591-608. doi: 10.3390/ijerph8093591. Epub 2011 Sep 5.
Although most smokers want to quit, the long-term success rate of quit attempts remains low; research is needed to understand the policy and environmental influences that can increase the success of cessation efforts. This paper uses regression methods to investigate self-reported exposure to policy and environmental influences on quit attempts, maintenance of a quit attempt for at least 6 months, and relapse in a longitudinal population-based sample, the New York Adult Cohort Survey, followed for 12 months (N = 3,261) and 24 months (N = 1,142). When policy or environmental influence variables were assessed independently of other policy or environmental influence variables, many were significant for at least some of the cessation outcomes. In the full models that included a full set of policy or environmental influence variables, many significant associations became nonsignificant. A number of policies may have an influence on multiple cessation outcomes. However, the effect varies by cessation outcome, and statistical significance is influenced by model specification.
虽然大多数吸烟者都想戒烟，但戒烟尝试的长期成功率仍然很低；需要研究了解可以提高戒烟效果的政策和环境影响。本文使用回归方法调查了自我报告的戒烟尝试的政策和环境影响的暴露情况，包括至少 6 个月的戒烟尝试维持率和复吸率。该研究基于纵向人群的纽约成人队列调查（New York Adult Cohort Survey），随访时间为 12 个月（N=3261）和 24 个月（N=1142）。当政策或环境影响变量独立于其他政策或环境影响变量进行评估时，许多变量对至少某些戒烟结果具有重要意义。在包含一整套政策或环境影响变量的完整模型中，许多显著关联变得不显著。许多政策可能对多种戒烟结果产生影响。但是，效果因戒烟结果而异，统计显著性受到模型规格的影响。
