ArticleAddictive behaviors2024
Examining psychometric properties of the Metacognitions about Smoking Questionnaire among young e-cigarette users.
Article in Addictive behaviors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed, 2 citations in OpenAlex.
- Metacognitions About Smoking: Psychometric Properties of the Italian Version of the Metacognitions About Smoking Questionnaire.Clinical psychology & psychotherapyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
objectiveMetacognition 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.
methodsThe 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.
resultsParticipants 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.
conclusionThe 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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.