The Short Form Vaping Consequences Questionnaire: Psychometric Properties of a Measure of Vaping Expectancies for Use With Adult E-cigarette Users
The Short Form Vaping Consequences Questionnaire: Psychometric Properties of a Measure of Vaping Expectancies for Use With Adult E-cigarette Users
复制标题
DOI：
10.1093/ntr/ntw205
复制
发表时间：
2017-02-01
影响因子：
4.7
通讯作者：
L'Insalata, Alexa
中科院分区：
文献类型：
--
作者：
Morean, Meghan E.;L'Insalata, Alexa
简介：电子烟在美国很受欢迎，但缺乏对vaping信念和行为的心理测量学合理措施。方法：我们评估了简易吸烟后果问卷（S-VCQ）的心理测量学，这是简易吸烟后果问卷的修改版，评估了与vaping相关的负面后果，正强化，负强化和食欲/体重控制的预期。2015年秋季，上个月的成年电子烟使用者完成了一项匿名调查（N=522，50.4%为女性; 71.5%为白色; 34.10 [SD=9.66]岁）。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、t检验、相关性以及与vaping结果的测试标准关系。S-VCQ具有四因素的潜在结构（Bentler比较拟合指数= 0.95，近似均方根误差= 0.05，标准化均方根残差= 0.06），子量表证明了内部一致性（平均值α =0.89）。S-VCQ评分对于性别和吸烟状况是标量不变的;女性报告的食欲/体重控制比男性更强，双香烟/电子烟使用者（n=309）报告的负面vaping后果和负强化比非吸烟者更强。在双重用户中，vaping和吸烟预期也是标量不变的;双重用户报告与vaping相关的正强化比吸烟更强，但与吸烟相关的负后果，负强化和食欲/体重控制比vaping更强。相关性表明，vaping和吸烟预期是相关的，但不同的结构。单变量一般线性模型表明，vaping频率和依赖性与vaping的正强化（eta（2）（p）=.02/.02），负强化（eta（2）（p）=.02/.08）和食欲/体重控制（eta（2）（p）=.02/.02）相关。结论：S-VCQ证明了坚实的心理测量学作为成年电子烟使用者vaping期望的衡量标准。目前的研究为S-VCQ的可靠性和有效性提供了证据，S-VCQ是第一个衡量电子烟预期的指标，已被验证可用于成年电子烟用户。结果表明，S-VCQ包括四个分量表，这些分量表证明了内部一致性，重要兴趣群体的标量测量不变性以及与vaping结果的测试标准关系。鼓励研究人员考虑使用这种方法来评估成年电子烟用户的吸电子烟预期。
Introduction: E-cigarettes are popular in the United States, but psychometrically sound measures of vaping beliefs and behaviors are lacking.Methods: We evaluated the psychometrics of the Short Form Vaping Consequences Questionnaire (S-VCQ), a modified version of the Short Form Smoking Consequences Questionnaire that assesses expectancies for negative consequences, positive reinforcement, negative reinforcement, and appetite/weight control associated with vaping. Adult, past-month e-cigarette users completed an anonymous survey in Fall 2015 (N=522, 50.4% female; 71.5% white; 34.10 [SD=9.66] years). Psychometric analyses included confirmatory factor analysis, internal consistency, measurement invariance, t tests, correlations, and test-criterion relationships with vaping outcomes.Results: The S-VCQ evidenced a four-factor latent structure (Bentler's Comparative Fit Index=.95, Root Mean Square Error of Approximation=.05, Standardized Root Mean Square Residual=.06), and subscales evidenced internal consistency (mean a=0.89). S-VCQ scores were scalar invariant for sex and smoking status; women reported stronger appetite/weight control than men and dual cigarette/e-cigarette users (n=309) reported stronger negative vaping consequences and negative reinforcement than nonsmokers. Among dual users, vaping and smoking expectancies also were scalar invariant; dual users reported stronger positive reinforcement associated with vaping than smoking but stronger negative consequences, negative reinforcement, and appetite/weight control associated with smoking than vaping. Correlations indicated that vaping and smoking expectancies were related, yet distinct constructs. Univariate general linear models indicated that vaping frequency and dependence were associated with positive reinforcement (eta(2)(p)=.02/.02), negative reinforcement (eta(2)(p)=.02/.08), and appetite/weight control (eta(2)(p)=.02/.02) from vaping.Conclusions: The S-VCQ evidences solid psychometrics as a measure of adult e-cigarette users' vaping expectancies.Implications: The current study provides evidence for the reliability and validity of the S-VCQ, the first measure of vaping expectancies that has been validated for use with adult e-cigarette users. Results indicated that the S-VCQ comprises four subscales that evidence internal consistency, scalar measurement invariance for important groups of interest, and test-criterion relationships with vaping outcomes. Researchers are encouraged to consider using this measure for assessing vaping expectancies in adult e-cigarette users.