J Adolesc Health
Autor: | François Alla, Semanur Cengelli, Amandine Vallata, Jennifer O'Loughlin |
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Přispěvatelé: | Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM) |
Rok vydání: | 2021 |
Předmět: |
Gerontology
Adolescent Web of science medicine.medical_treatment Smoking Prevention 03 medical and health sciences 0302 clinical medicine Intervention (counseling) Humans Medicine Prospective Studies 030212 general & internal medicine 10. No inequality Tobacco Use Cessation 030505 public health business.industry Public Health Environmental and Occupational Health Health related Tobacco Products 3. Good health Cigarette smoking cessation Psychiatry and Mental health Pediatrics Perinatology and Child Health Cohort Smoking cessation Smoking Cessation [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie 0305 other medical science business Psychosocial Cohort study |
Zdroj: | Journal of Adolescent Health Journal of Adolescent Health, Elsevier, 2020, ⟨10.1016/j.jadohealth.2020.09.025⟩ |
ISSN: | 1054-139X |
Popis: | 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. |
Databáze: | OpenAIRE |
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