Literature DB >> 33191057

Predictors of Cigarette Smoking Cessation in Adolescents: A Systematic Review.

Amandine Vallata1, Jennifer O'Loughlin2, Semanur Cengelli3, François Alla4.   

Abstract

PURPOSE: To update a systematic review published in 2012 that identified predictors of cigarette smoking cessation among adolescents.
METHODS: The PubMed and Web of Science databases were searched for relevant articles published between September 2010 and January 2018, using the following keywords: smoking OR tobacco OR cessation; quit OR stop; longitudinal OR prospective OR cohort. Our search identified 3,399 articles. Inclusion criteria included longitudinal studies (intervention and cohort studies) evaluating cigarette smoking cessation in young people (aged 10-24 years). After screening, in total, 34 articles were included in the review.
RESULTS: In total, 63 predictors of smoking cessation among adolescents were identified, with 36 new predictors that were not identified in the previous review: nine sociodemographic factors, 13 psychosocial factors, five behavioral factors, 19 social influences factors, eight smoking related variables, six environmental factors, 2 health related variables, and one genetic factor.
CONCLUSIONS: To increase the probability of successful smoking cessation, strategies targeting young smokers should consider both individual and environmental predictors of cessation.
Copyright © 2020 Society for Adolescent Health and Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Adolescents; Guidelines; Predictors; Smoking cessation

Mesh:

Year:  2020        PMID: 33191057     DOI: 10.1016/j.jadohealth.2020.09.025

Source DB:  PubMed          Journal:  J Adolesc Health        ISSN: 1054-139X            Impact factor:   5.012


  2 in total

1.  Behavioral interventions for smoking cessation among adolescents: a rapid review and meta-analysis for the Korea Preventive Services Task Force.

Authors:  Younglee Choi; Cheol Min Lee; Belong Cho; Eon Sook Lee; Seung-Won Oh; Naae Lee; Jae Moon Yun
Journal:  Osong Public Health Res Perspect       Date:  2021-06-02

2.  Identification of smoking cessation phenotypes as a basis for individualized counseling: An explorative real-world cohort study.

Authors:  Maciej Paciorkowski; Florent Baty; Susanne Pohle; Esther Bürki; Martin Brutsche
Journal:  Tob Induc Dis       Date:  2022-09-23       Impact factor: 5.163

  2 in total

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