Moreno-Arnedillo J J, Morante-Benadero M E, Sánchez-Vegazo-Sánchez E
Centro de Promoción de Hábitos Saludables, Madrid Salud, Ayuntamiento de Madrid, Madrid, España.
Centro de Promoción de Hábitos Saludables, Madrid Salud, Ayuntamiento de Madrid, Madrid, España.
Semergen. 2014 Nov-Dec;40(8):436-40. doi: 10.1016/j.semerg.2013.12.005. Epub 2014 Mar 7.
The objective of this study is to analyze the length of the longest period of previous abstinence time as a predictor of the results of a smoking cessation program at 12 months follow-up.
A cross-sectional study was conducted on a sample of 475 smokers who had participated in a multi-component smoking cessation group therapy program. The independent variable is the longest abstinence time passed, measured in weeks, before the current treatment. Success was defined as self-reported abstinence. Bivariate analyses were applied to the independent variable and to other variables in order to determine the factors that would be part of a logistic regression model using contrasts Student t or χ(2) comparisons, as appropriate. Those that showed statistical significance were entered into a multivariate logistic regression model.
Within the studied variables, previous abstinence time and sex were the only predictive variables of success at 12 month follow-up.
The probability of being abstinent at 12 months follow-up was significantly associated with the length of the previous longest period of abstinence, and this is the best of the predictors considered. Successful cessation programs depend more on the relationship with the consumer biographical aspects than with biological factors. The history of previous attempts is a more valuable source of information for designing treatments than others traditionally considered.
本研究的目的是分析之前最长戒烟时长作为12个月随访期戒烟项目结果预测指标的情况。
对475名参与多成分戒烟团体治疗项目的吸烟者样本进行了一项横断面研究。自变量是当前治疗前以周为单位测量的最长戒烟时长。成功定义为自我报告的戒烟情况。对自变量和其他变量进行双变量分析,以便使用学生t检验或χ²检验(视情况而定)确定作为逻辑回归模型一部分的因素。具有统计学意义的因素被纳入多变量逻辑回归模型。
在所研究的变量中,之前的戒烟时长和性别是12个月随访期成功的唯一预测变量。
12个月随访期戒烟的可能性与之前最长戒烟期的时长显著相关,这是所考虑的最佳预测指标。成功的戒烟项目更多地取决于与消费者个人经历方面的关系,而非生物学因素。与传统上认为的其他因素相比,之前的尝试史是设计治疗方法更有价值的信息来源。