Psychometric Evaluation of the E-cigarette Dependence Scale

Psychometric Evaluation of the E-cigarette Dependence Scale
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DOI:
10.1093/ntr/ntx271
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发表时间:
2019-11-01
影响因子:
4.7
通讯作者:
O'Malley, Stephanie S.
O'Malley, Stephanie S.
中科院分区:
医学2区
文献类型:
--
作者:
Morean, Meghan E.;Krishnan-Sarin, Suchitra;O'Malley, Stephanie S.

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简介:Psychometrically健全的措施e-cigarette dependence are lacking.Methods:我们修改了PROMIS项目银行版本1.0-吸烟:尼古丁依赖所有吸烟者使用电子烟和评估的心理测量学的22-,8-,和4-项目适应版本,被称为电子烟依赖量表(EDS)。报告至少每周使用电子烟的成年人(1009)在2016年夏季完成了一项匿名调查(50.2%为男性,77.1%为白色,平均年龄35.81 [10.71],66.4%为每日电子烟使用者,72.6%为当前吸烟者)。心理测量分析包括验证性因素分析、内部一致性、测量不变性、平均水平差异检验、收敛效度以及与电子烟使用结果的测试标准关系。所有EDS版本都具有可确认的、内部一致的潜在结构,这些结构不受性别、种族、电子烟使用的影响。(非每日/每日)、电子液体尼古丁含量(否/是)和当前吸烟状态(否/是)。每日电子烟使用者、尼古丁电子液体使用者和吸烟者报告说,他们比同行更依赖电子烟。所有EDS版本彼此之间都有很强的相关性,证明了宾夕法尼亚州立大学电子烟依赖指数和早上第一次使用电子烟的时间的收敛有效性,并证明了与电子烟频率,电子液体尼古丁浓度和电子烟戒烟尝试的测试标准关系。当在电子烟专用者和香烟和电子烟的双重使用者的子样本内进行分析时,观察到类似的结果。结论:每个EDS版本都证明了用于评估电子烟专用者或香烟和电子烟的双重使用者的成年人的电子烟依赖性的强大心理测量特性。然而,结果表明,4项EDS,这提供了一个有效的评估e-cigarette dependence.Implications:新的,心理测量健全的EDS的可用性,可以进一步研究广泛的问题,电子烟的使用和依赖性的较长的版本几乎没有好处。此外,EDS与为评估尼古丁对香烟的依赖性而开发的原始PROMIS之间的重叠提供了该领域内的一致性。
Introduction: Psychometrically sound measures of e-cigarette dependence are lacking.Methods: We modified the PROMIS Item Bank v1.0-Smoking: Nicotine Dependence for All Smokers for use with e-cigarettes and evaluated the psychometrics of the 22-, 8-, and 4-item adapted versions, referred to as The E-cigarette dependence scale (EDS). Adults (1009) who reported using e-cigarettes at least weekly completed an anonymous survey in summer 2016 (50.2% male, 77.1% White, mean age 35.81 [10.71], 66.4% daily e-cigarette users, 72.6% current cigarette smokers). Psychometric analyses included confirmatory factor analysis, internal consistency, measurement invariance, examination of mean-level differences, convergent validity, and test-criterion relationships with e-cigarette use outcomes.Results: All EDS versions had confirmable, internally consistent latent structures that were scalar invariant by sex, race, e-cigarette use (nondaily/daily), e-liquid nicotine content (no/yes), and current cigarette smoking status (no/yes). Daily e-cigarette users, nicotine e-liquid users, and cigarette smokers reported being more dependent on e-cigarettes than their counterparts. All EDS versions correlated strongly with one another, evidenced convergent validity with the Penn State E-cigarette Dependence Index and time to first e-cigarette use in the morning, and evidenced test-criterion relationships with vaping frequency, e-liquid nicotine concentration, and e-cigarette quit attempts. Similar results were observed when analyses were conducted within subsamples of exclusive e-cigarette users and duals-users of cigarettes and e-cigarettes.Conclusions: Each EDS version evidenced strong psychometric properties for assessing e-cigarette dependence in adults who either use e-cigarette exclusively or who are dual-users of cigarettes and e-cigarettes. However, results indicated little benefit of the longer versions over the 4-item EDS, which provides an efficient assessment of e-cigarette dependence.Implications: The availability of the novel, psychometrically sound EDS can further research on a wide range of questions related to e-cigarette use and dependence. In addition, the overlap between the EDS and the original PROMIS that was developed for assessing nicotine dependence to cigarettes provides consistency within the field.