Stages of change versus addiction: a replication and extension.
Stages of change versus addiction: a replication and extension.
复制标题
改变与成瘾的阶段：复制和延伸。
DOI：
10.1080/14622200050147484
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发表时间：
2000
期刊：
影响因子：
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通讯作者：
Linnan,L
中科院分区：
文献类型：
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作者：
Abrams,DB;Herzog,TA;Emmons,KM;Linnan,L
来自Working Well试验的数据（n = 2379）用于检验19个变量在1年和2年随访时预测戒烟的能力。在跨理论模型（TTM）的核心构念中，变化阶段是最好的预测因子。变化的过程和吸烟的利弊是相对无效的预测因素。在其他变量中，自我效能、每天吸烟、前一年最长戒烟尝试的持续时间和沉思阶梯是最有效的独立预测因素。每天吸烟和戒烟持续时间的组合对预测戒烟特别有效。与Farkas等人（Farkas AJ, Pierce JP, Zhu SH, Rosbrook B, Gilpin EA, Berry C, Kaplan RM, Addiction, 91:1271-1280, 1996）一致，包括复合变量（每天吸烟和戒烟持续时间）和变化阶段在内的多变量分析显示，复合变量是戒烟的更好预测因子。
Data from the Working Well trial (n = 2379) were used to test the capacity of 19 variables to predict smoking cessation at 1- and 2-year follow-ups. Among the core constructs of transtheoretical model (TTM), stage of change was the best predictor. The processes of change and the pros and cons of smoking were relatively ineffective predictors. Among other variables, self-efficacy, cigarettes per day, duration of longest quit attempt during the previous year, and the contemplation ladder were the most effective stand-alone predictors. A composite of cigarettes per day and quit duration was particularly effective for predicting cessation. Consistent with Farkas et al. (Farkas AJ, Pierce JP, Zhu SH, Rosbrook B, Gilpin EA, Berry C, Kaplan RM, Addiction 91:1271–1280, 1996), multivariate analyses including the composite variable (cigarettes per day and quit duration) and the stages of change revealed the composite variable to be the better predictor of cessation.