Ernst-Moritz-Arndt-University Greifswald, Institute of Epidemiology and Social Medicine, Greifswald, Germany.
Patient Educ Couns. 2010 Jan;78(1):57-64. doi: 10.1016/j.pec.2009.07.005. Epub 2009 Aug 5.
To explore demographic-, health-, and smoking-related predictors and moderators of outcome in smokers who participated in two different brief smoking cessation interventions.
Data were acquired using a quasi-randomized controlled trial that tested the efficacy of computer-generated tailored letters and physician-delivered brief advice against assessment only. Daily smokers (n=1499) were recruited from 34 general medical practices. We used Generalized Estimating Equation analyses to investigate the relationship between 6-month prolonged smoking abstinence assessed at 12-, 18-, and 24-month follow-ups and potential predictors and moderators.
Female gender (OR=1.49, 95% CI=1.01-2.19), higher level of education (OR=1.82, 95% CI=1.18-2.82), intention to quit smoking (OR=1.66, 95% CI=1.16-2.38), and smoking cessation self-efficacy (OR=1.30, 95% CI=1.03-1.64) were positively, nicotine dependence (OR=0.84, 95% CI=0.76-0.94) and the presence of a smoking partner (OR=0.60, 95% CI=0.42-0.85) were negatively associated with smoking abstinence. Compared to assessment only, physician advice was less effective for people without an intention to quit smoking and for unemployed.
Smoking cessation interventions might be improved by tailoring them to demographic- and smoking-related variables which were identified as predictors in this study.
The results suggest that tailored letters are a more universally applicable brief intervention in general medical practice than physician advice.
探索参与两种不同简短戒烟干预措施的吸烟者在人口统计学、健康和吸烟相关因素方面的预测因素和调节因素,以及这些因素对戒烟结果的影响。
本研究采用准随机对照试验,比较了计算机生成的个性化信件和医生提供的简短建议与仅评估两种干预措施对戒烟结果的影响。在 34 家普通医疗实践中招募了每日吸烟者(n=1499)。我们使用广义估计方程分析方法,调查了在 12、18 和 24 个月随访时评估的 6 个月持续戒烟与潜在预测因素和调节因素之间的关系。
女性(OR=1.49,95%CI=1.01-2.19)、较高的教育水平(OR=1.82,95%CI=1.18-2.82)、戒烟意愿(OR=1.66,95%CI=1.16-2.38)和戒烟自我效能感(OR=1.30,95%CI=1.03-1.64)与戒烟成功率呈正相关,而尼古丁依赖(OR=0.84,95%CI=0.76-0.94)和有吸烟伴侣(OR=0.60,95%CI=0.42-0.85)与戒烟成功率呈负相关。与仅评估相比,对于没有戒烟意愿和失业的人,医生建议的效果较差。
本研究确定了与人口统计学和吸烟相关的变量,这些变量可作为预测因素,通过针对这些因素来定制戒烟干预措施,可能会提高戒烟干预的效果。
研究结果表明,在普通医疗实践中,个性化信件比医生建议更普遍适用,是一种更有效的简短戒烟干预措施。