Literature DB >> 32683174

A systematic review of cigarette smoking trajectories in adolescents.

Marilyn N Ahun1, Béatrice Lauzon1, Marie-Pierre Sylvestre2, Cassi Bergeron-Caron1, Sherif Eltonsy3, Jennifer O'Loughlin1.   

Abstract

Trajectory analyses differentiate subgroups of smokers based on early patterns of cigarette use, but no study has summarized this literature. We systematically reviewed the literature on adolescent cigarette smoking trajectories to document the number and shapes of trajectories identified, assess if certain study characteristics influence the number or shapes of trajectories identified, summarize factors associated with and outcomes of trajectory group membership, and assess whether the results of trajectory analyses help identify windows of opportunity for intervention. We searched PubMed and EMBASE (1/1/1980 to 1/11/2018) and identified 1695 articles. Forty-three articles with data from 37 unique datasets were retained. Each trajectory was categorized into one of three groups (i.e., low-stable, increasing, other). Number of trajectories ranged from 2 to 6 (mode = 4); 44-76% of participants were low-stable cigarette consumers, 11-21% increased consumption, and 3-11% were categorized as "other." Number of data points, smoking indicator used, and time axis influenced the number of trajectories identified. Only two articles depicted the natural course of smoking since onset. Factors associated with trajectory membership included age, sex/gender, race/ethnicity, parental education, behavior problems, depression, academic performance, baseline cigarette use, parental and friends smoking, alcohol use, and cannabis use. Outcomes included illicit drug and alcohol use. Beyond parsimoniously describing cigarette smoking patterns, it is not clear whether trajectory analyses offer increased insight into the natural course, determinants or outcomes of cigarette smoking in ways that inform the development of intervention.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Adolescence; Longitudinal method; Natural history of smoking; Smoking; Systematic review; Trajectory analysis

Year:  2020        PMID: 32683174     DOI: 10.1016/j.drugpo.2020.102838

Source DB:  PubMed          Journal:  Int J Drug Policy        ISSN: 0955-3959


  5 in total

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Authors:  Dale S Mantey; Stephanie L Clendennen; Aslesha Sumbe; Anna V Wilkinson; Melissa B Harrell
Journal:  Am J Health Behav       Date:  2021-09-30

2.  Does group-based trajectory modeling estimate spurious trajectories?

Authors:  Miceline Mésidor; Marie-Claude Rousseau; Jennifer O'Loughlin; Marie-Pierre Sylvestre
Journal:  BMC Med Res Methodol       Date:  2022-07-14       Impact factor: 4.612

Review 3.  Investigating the reciprocal temporal relationships between tobacco consumption and psychological disorders for youth: an international review.

Authors:  Jeremy Stevenson; Caroline Louise Miller; Kimberley Martin; Leila Mohammadi; Sharon Lawn
Journal:  BMJ Open       Date:  2022-06-13       Impact factor: 3.006

4.  Differential trajectories of tobacco smoking in people at ultra-high risk for psychosis: Associations with clinical outcomes.

Authors:  Frederike Schirmbeck; Els van der Ven; Lindy-Lou Boyette; Philip McGuire; Lucia R Valmaggia; Matthew J Kempton; Mark van der Gaag; Anita Riecher-Rössler; Neus Barrantes-Vidal; Barnaby Nelson; Marie-Odile Krebs; Stephan Ruhrmann; Gabriele Sachs; Bart P F Rutten; Merete Nordentoft; Lieuwe de Haan; Jentien M Vermeulen
Journal:  Front Psychiatry       Date:  2022-07-22       Impact factor: 5.435

5.  Smoking trajectory and cancer risk: A population-based cohort study.

Authors:  Minh N Luu; Minji Han; Tra T Bui; Phuong Thao T Tran; Min-Kyung Lim; Jin K Oh
Journal:  Tob Induc Dis       Date:  2022-08-26       Impact factor: 5.163

  5 in total

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