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戒烟药物治疗后吸烟欲望的动态变化。

The dynamics of the urge-to-smoke following smoking cessation via pharmacotherapy.

机构信息

SRI International, Menlo Park, CA 94025, USA.

出版信息

Addiction. 2011 Oct;106(10):1835-45. doi: 10.1111/j.1360-0443.2011.03495.x. Epub 2011 Aug 18.

DOI:10.1111/j.1360-0443.2011.03495.x
PMID:21561501
Abstract

AIMS

To examine person-specific urge-to-smoke trajectories during the first 7 days of abstinence and the relationship of trajectory parameters to continuous abstinence, demographics, medication and smoking history.

DESIGN

Hierarchical linear modeling was used to model person-specific trajectories for urge-to-smoke.

SETTING

Two university-based smoking cessation trials.

PARTICIPANTS

Treatment-seeking smokers in a clinical trial of transdermal nicotine (n = 275) versus nicotine spray (n = 239) and of bupropion (n = 223) versus placebo (n = 198).

MEASUREMENTS

Self-reported urge-to-smoke for 7 days after the planned quit date, and 7-day point prevalence and continuous abstinence at end of treatment (EOT) and 6 months.

FINDINGS

Urge-to-smoke trajectory parameters (average level, slope, curvature and volatility) varied substantially among individuals, had modest intercorrelations and predicted continuous and point prevalence abstinence at EOT and at 6 months. Higher trajectory level, slope and volatility were all significantly (P ≤ 0.001) associated with a reduced likelihood of abstinence at EOT (odds ratios 0.44-0.75) and at 6-month follow-up (odds ratios from 0.63 to 0.78), controlling for demographic, medication and smoking use variables.

CONCLUSION

Higher urge-to-smoke trajectory parameters of level, slope and volatility (measured over 7 days) predict continuous and 7-day point prevalence at EOT and 6 months. Although there were some associations of trajectory parameters with demographics and smoking history, the associations of trajectory parameters with relapse were relatively uninfluenced by demographics and smoking history.

摘要

目的

在戒断的前 7 天内,研究个体的吸烟冲动轨迹,以及轨迹参数与连续戒断、人口统计学、药物和吸烟史的关系。

设计

使用分层线性建模来为吸烟冲动建立个体轨迹模型。

设置

两个基于大学的戒烟试验。

参与者

参与经皮尼古丁(n=275)与尼古丁喷雾(n=239)以及安非他酮(n=223)与安慰剂(n=198)临床试验的有治疗需求的吸烟者。

测量

在计划的戒烟日期后 7 天内报告吸烟冲动,以及治疗结束时(EOT)和 6 个月的 7 天点患病率和连续戒烟率。

结果

吸烟冲动轨迹参数(平均水平、斜率、曲率和波动性)在个体之间差异很大,具有适度的相互关系,并预测 EOT 和 6 个月时的连续和点患病率戒烟率。较高的轨迹水平、斜率和波动性均与 EOT 时(比值比 0.44-0.75)和 6 个月随访时(比值比从 0.63 到 0.78)的戒烟可能性降低显著相关(P≤0.001),控制了人口统计学、药物和吸烟使用变量。

结论

吸烟冲动轨迹参数(在 7 天内测量)的水平、斜率和波动性较高,可预测 EOT 和 6 个月时的连续和 7 天点患病率。尽管轨迹参数与人口统计学和吸烟史存在一些关联,但轨迹参数与复发的关联相对不受人口统计学和吸烟史的影响。

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