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

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

Seo, Dong-Chul;Kwon, Elizabeth;Lee, Shieun;Seo, JangDong;
Preventive medicine 2019 Vol. 130 pp. 105896
289
seo2019usingpreventive

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.

Citation

ID: 66181
Ref Key: seo2019usingpreventive
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
66181
Unique Identifier:
S0091-7435(19)30376-7
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet