Development and validation of a scale measuring self-efficacy of current and former smokers

Development and validation of a scale measuring self-efficacy of current and former smokers
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DOI:
10.1046/j.1360-0443.2000.9569017.x
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发表时间:
2000-06-01
期刊:
影响因子:
6
通讯作者:
Perneger, TV
Perneger, TV
中科院分区:
医学1区
文献类型:
--
作者:
Etter, JF;Bergman, MM;Perneger, TV

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目标。制定和测试问卷的有效性,测量当前和以前的吸烟者在高风险情况下戒烟能力的信心。设计与参与者我们在第一次邮件调查中收集了115名吸烟者和戒烟者的定性数据,并使用这些数据开发调查项目。我们在第二次邮件调查中收集了529名吸烟者和戒烟者的定量数据,以最终确定该工具。设置. 1995、1997和1998年瑞士日内瓦的一般人口。调查结果。该研究产生了一个二维的12项量表:“吸烟自我效能问卷”(SEQ-12)。两个六项分量表测量面对内部刺激(例如感到抑郁)和外部刺激(例如与吸烟者在一起)时,对戒烟能力的信心。内部一致性系数很高(“内部刺激”:α = 0.95;“外部刺激”α = 0.94)。再测-再测组内相关系数较高(两个量表分别为0.95和0.93)。在吸烟者中,基线自我效能评分预测了16个月随访时的戒烟。最后,该量表尊重内容效度和结构效度的标准。结论SEQ-12是一个有效和可靠的量表,在研究和临床环境中都有应用。它还可以为计算机系统生成输入数据,该系统生成针对每个吸烟者特征的咨询报告。
Aims. To develop and test the validity of a questionnaire measuring the confidence of current and former smokers in their ability to abstain from smoking in high-risk situations. Design and participants. We collected qualitative data in a first mail survey in 115 smokers and ex-smokers, and used these data to develop survey items. We collected quantitative data in a second mail survey in 529 smokers and Ex-smokers to finalize the instrument. Setting. General population in Geneva, Switzerland, 1995, 1997 and 1998. Findings. The study resulted in a two-dimensional 12-item scale: the "Smoking Self-Efficacy Questionnaire" (SEQ-12). The two six-item subscales measure confidence in ability to refrain from smoking when facing internal stimuli (e.g. feeling depressed) and external stimuli (e.g. being with smokers). Internal consistency coefficients mere high ("internal stimuli": alpha = 0.95; "external stimuli" alpha = 0.94). rest-retest intraclass correlation coefficients were high (0.95 and 0.93 for the two scales, respectively). In smokers, baseline self-efficacy scores predicted smoking cessation at 16-month follow-up. Finally, the scale respected criteria of content- and construct validity. Conclusion. SEQ-12 is a valid and reliable scale, which has applications in both research and clinical settings. It can also produce input data for computer systems that generate counselling reports tailored to the characteristics of each individual smoker.