Department of Clinical, Educational and Health Psychology, University College London, 1-19 Torrington Place, London WC1E 6BT, UK.
Department of Clinical, Educational and Health Psychology, University College London, 1-19 Torrington Place, London WC1E 6BT, UK.
Addict Behav. 2018 Jun;81:12-16. doi: 10.1016/j.addbeh.2018.01.037. Epub 2018 Jan 31.
In seeking to provide more accurate models of population quit attempt rates, this study assessed whether a single self-report measure of consistent motivation to stop smoking adds useful explanatory power over and above an established measure of current motivation to stop.
Data from 16,657 current smokers in England were collected between October 2012 and June 2017 using cross-sectional household surveys. Smokers were asked whether they had made a serious quit attempt in the past year and they answered two questions on motivation to stop (current motivation and consistent motivation to stop smoking). Having made at least one quit attempt in the past year was regressed in logistic models onto current motivation to stop and consistent motivation to stop individually and then together, with both models adjusting for sociodemographic variables and a measure of nicotine dependence.
The addition of consistent motivation to stop smoking added substantially to the fit of the model over and above the established measure of current motivation to quit (χ(1, N = 16,657) = 901.7, p < 0.001) with an adjusted odds ratio of 4.1 (95% CI = 3.7-4.5, p < 0.001).
Consistent motivation to stop smoking substantially improves the modelling of recent smoking cessation attempts over and above current motivation to stop. The consistency of smokers' motivation to quit may be a useful explanatory and target variable in future intervention studies.
为了提供更准确的人群戒烟尝试率模型,本研究评估了单一的、始终如一的戒烟动机自我报告测量是否比现有的戒烟动机测量更能提供有用的解释力。
2012 年 10 月至 2017 年 6 月期间,在英格兰通过横断面家庭调查收集了 16657 名当前吸烟者的数据。吸烟者被问及他们是否在过去一年中进行过一次严肃的戒烟尝试,他们回答了两个关于戒烟动机的问题(当前动机和始终如一的戒烟动机)。将过去一年中至少进行过一次戒烟尝试的情况回归到逻辑模型中,分别对当前戒烟动机和始终如一的戒烟动机进行回归,然后将两个模型一起调整社会人口统计学变量和尼古丁依赖程度的衡量标准。
始终如一的戒烟动机的加入大大提高了模型的拟合度,超过了现有的戒烟动机测量(χ²(1, N=16657)=901.7,p<0.001),调整后的优势比为 4.1(95%置信区间为 3.7-4.5,p<0.001)。
始终如一的戒烟动机大大提高了对近期戒烟尝试的建模能力,超过了当前的戒烟动机。吸烟者戒烟动机的一致性可能是未来干预研究中一个有用的解释和目标变量。