Using susceptibility measures to prospectively predict ever use of electronic cigarettes among adolescents.

Clicks: 402
ID: 66181
2019
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #7 of 41 articles by views in Preventive medicine

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
Preventing adolescents from using e-cigarettes is crucial given that e-cigarette use can lead to conventional cigarette smoking. In order to inform prevention efforts, the present study examined the role of susceptibility measures as well as psychosocial, behavioral, and environmental factors in prospectively predicting ever use of electronic cigarettes among adolescents. We analyzed Wave 1 and Wave 2 of the Population Assessment of Tobacco and Health (PATH), nationally representative longitudinal panel datasets. Nicotine naïve adolescents, ages 12-17 at baseline (N = 7933) were included in the study sample. Multivariable logistic regression was conducted to examine the determinants of adolescents' ever use of e-cigarettes. Overall, 12.3% (n = 983) of adolescents who were naïve to nicotine products at Wave 1 became ever users of e-cigarettes at Wave 2. Susceptibility to e-cigarette use at Wave 1 was a significant predictor of ever use at Wave 2 (adjusted odds ratio = 2.27; 95% CI = 1.92, 2.68). Adolescents who were not susceptible to e-cigarette use at Wave 1 but became ever users at Wave 2 were more likely to show a higher level of alcohol use, marijuana use, other substance use, have modified family, be exposed to secondhand tobacco smoke, and have a higher level of psychological problems. The specificity of susceptibility measure was 73.2% (5080/6936) and sensitivity was 57.3% (563/983). The findings of the present study appear to support the predictive validity of the susceptibility to e-cigarette use measure as a significant predictor of future e-cigarette use.
Reference Key
seo2019usingpreventive Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Seo, Dong-Chul;Kwon, Elizabeth;Lee, Shieun;Seo, JangDong;
Journal Preventive medicine
Year 2019
DOI
S0091-7435(19)30376-7
URL
Keywords

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.