University of Texas Health Science Center, School of Public Health, Austin, TX, USA.
McGovern Medical School, University of Texas Health Science Center, Houston, TX, USA.
Addict Behav. 2024 Mar;150:107913. doi: 10.1016/j.addbeh.2023.107913. Epub 2023 Nov 19.
Metacognition can be understood as 'cognition of cognition' or 'thinking about thinking'. Metacognition research has primarily focused on cigarette smoking, while e-cigarette use has been relatively unexplored. The study sought to examine the properties of the Metacognitions about Smoking Questionnaire (MSQ), as it was adapted for use among adolescent and young adult e-cigarette users. Further, the study sought to examine the ability of the Metacognitions about Smoking Questionnaire (MSQ) to predict past 30-day e-cigarette use among adolescent and young adult e-cigarette users.
The study analyzed data collected by the Texas Adolescent Tobacco and Marketing Surveillance System (TATAMS) in Spring 2020. The instrument consisted of 20 items found to have sound psychometric properties when validated among self-defined cigarette smokers in the UK. The instrument was adapted for e-cigarette use by providing a brief description before the items. Participants were asked "Which of the following products you use most often?", and those who selected "e-cigarettes" were included in the study. Participants were then presented with 20 statements about beliefs people hold about using e-cigarette and were instructed to determine their agreement with the statements on a four-point Likert scale with respect to e-cigarette use. Factors were extracted using Exploratory Factor Analysis (EFA) and factor structure was verified using Confirmatory Factor Analysis (CFA). Further, each of the extracted factors were used to predict past 30-day e-cigarette use frequency in the most frequent group, using conditional effects, holding the most frequent category of categorical covariates, mean of continuous covariates and the other two metacognitive factors as reference levels. Past 30-day e-cigarette use was measured as the number of days of use in the past 30-days.
Participants who reported e-cigarette use in the past 30-days were included in this analysis (n = 244). Participants were in 10th grade (n = 46), 12th grade (n = 92) and two years beyond high school (n = 106). EFA was conducted and items were assessed with varimax rotation. CFA was conducted with multiple models (one factor, two factor and three factor solutions) and the 3-factor solution showed the best fit. Factors were named as 'positive metacognitions about cognitive regulation'(PMCR) (e.g. '…helps me think more clearly'), 'positive metacognitions about emotional regulation'(PMER) (e.g. '…helps me to relax when I am agitated'), and 'negative metacognitions'(NM) (e.g. 'It is hard to control my desire for e-cigarettes'). Cronbach's alpha showed high internal consistency (0.92, 0.90 and 0.91, respectively). The median score (range) was 7 (5-20), 10 (5-20), and 11 (10-40) on PMCR, PMER, and NM factors. Higher scores denote higher levels of outcome expectancies of that factor. Lowest and highest score on PMCR was associated with 15 and 20.4 days of e-cigarette use in the past 30-days, respectively. Similarly, lowest and highest score on PMER and NM were associated with 13.2 and 21 days, and 14.7 and 24.6 days, respectively. The results indicate that participants who reported highest outcome expectancies for cognitive regulation, emotional regulation, and negative outcomes, used e-cigarettes on average 5, 8 and 10 days more than those who reported lowest outcome expectancies for these factors.
The MSQ showed good psychometric soundness for measuring metacognitive factors associated with e-cigarette use. For cigarette smoking, the original questionnaire distinguished negative cognitions of 'uncontrollability' and 'cognitive interference', which was not seen in e-cigarette users. This indicates a difference in cognitions of cigarette and e-cigarette users. The instrument can help understand the similar role of cognition in e-cigarette use behavior and further assess association with e-cigarette use.
元认知可以理解为“对认知的认知”或“思考思维”。元认知研究主要集中在吸烟上,而电子烟的使用则相对较少。本研究旨在检验适用于青少年和年轻成年电子烟使用者的吸烟元认知问卷(MSQ)的特性。此外,本研究还旨在检验吸烟元认知问卷(MSQ)预测青少年和年轻成年电子烟使用者过去 30 天电子烟使用情况的能力。
本研究分析了 2020 年春季德克萨斯州青少年烟草和营销监测系统(TATAMS)收集的数据。该工具由 20 个项目组成,在英国自我定义的吸烟者中验证时具有良好的心理测量学特性。该工具通过在项目前提供简短说明,适用于电子烟的使用。参与者被问到“你最常使用以下哪种产品?”,选择“电子烟”的参与者被纳入研究。然后,参与者被呈现 20 个关于人们对电子烟使用的信念的陈述,并被要求在四个点李克特量表上对每个陈述表示同意,以电子烟的使用为参考。使用探索性因素分析(EFA)提取因素,并使用验证性因素分析(CFA)验证因素结构。此外,使用条件效应,在最频繁的类别中保持类别协变量的平均值、连续协变量的平均值和其他两个元认知因素作为参考水平,从最频繁的组中预测过去 30 天电子烟使用频率。过去 30 天的电子烟使用频率以过去 30 天内使用的天数来衡量。
包括在这项分析中的是报告过去 30 天内使用电子烟的参与者(n=244)。参与者在 10 年级(n=46)、12 年级(n=92)和高中毕业后两年(n=106)。进行了 EFA,并使用方差极大旋转评估项目。进行了 CFA,使用了多个模型(一个因素、两个因素和三个因素解决方案),结果表明 3 因素解决方案具有最佳拟合度。因素被命名为“认知调节的积极元认知”(PMCR)(例如,“……帮助我更清晰地思考”)、“情绪调节的积极元认知”(PMER)(例如,“……当我激动时帮助我放松”)和“消极元认知”(NM)(例如,“很难控制我对电子烟的渴望”)。克朗巴赫的阿尔法系数显示出较高的内部一致性(分别为 0.92、0.90 和 0.91)。PMCR、PMER 和 NM 因子的中位数得分(范围)分别为 7(5-20)、10(5-20)和 11(10-40)。得分越高表示该因素的结果期望越高。PMCR 的最低和最高得分分别与过去 30 天中电子烟使用的 15 和 20.4 天相关。类似地,PMER 和 NM 的最低和最高得分分别与 13.2 和 21 天以及 14.7 和 24.6 天相关。结果表明,报告认知调节、情绪调节和消极结果的结果期望最高的参与者,平均比报告这些因素的结果期望最低的参与者使用电子烟多 5、8 和 10 天。
MSQ 在测量与电子烟使用相关的元认知因素方面具有良好的心理测量学特性。对于吸烟,原始问卷区分了“不可控性”和“认知干扰”的消极认知,而电子烟使用者则没有。这表明吸烟和电子烟使用者的认知存在差异。该工具可以帮助理解认知在电子烟使用行为中的相似作用,并进一步评估与电子烟使用的关联。