Dynamic, data-driven typologies of long-term smoking, cessation, and their correlates: Findings from the International Tobacco Control (ITC) Netherlands Survey.
Cessation trajectories
Constructs
Group-based
International Tobacco Control (ITC) Netherlands
Long term
Psychosocial
Smoking
Trajectory modeling
Journal
Social science & medicine (1982)
ISSN: 1873-5347
Titre abrégé: Soc Sci Med
Pays: England
ID NLM: 8303205
Informations de publication
Date de publication:
08 2019
08 2019
Historique:
received:
24
11
2018
revised:
24
05
2019
accepted:
29
06
2019
pubmed:
16
7
2019
medline:
25
8
2020
entrez:
15
7
2019
Statut:
ppublish
Résumé
Efforts towards tobacco control are numerous, but relapse rates for smoking cessations remain high. Behavioral changes necessary for continuous cessation appear complex, variable and subject to social, biological, psychological and environmental determinants. Currently, most cessation studies concentrate on short-to midterm behavioral changes. Besides, they use fixed typologies, thereby failing to capture the temporal changes in smoking/cessation behaviors, and its determinants. To obtain long-term, data-driven longitudinal patterns or profiles of smoking, cessation, and related determinants in a cohort of adult smokers, and to investigate their dynamic links. The dataset originated from the International Tobacco Control (ITC) Netherlands Project, waves 2008 to 2016. Temporal dynamics of smoking/cessation, psychosocial constructs, and time-varying determinants of smoking were extracted with Group-Based Trajectory Modeling technique. Their associations were investigated via multiple regression models. Substantial heterogeneity of smoking and cessation behaviors was unveiled. Most respondents were classified as persistent smokers, albeit with distinct levels of consumption. For a minority, cessation could be sustained between 1 and 8 years, while others showed relapsing or fluctuating smoking behavior. Links between smoking/cessation trajectories with those of psychosocial and sociodemographic variables were diverse. Notably, changes in two variables were aligned to behavioral changes towards cessation: decreasing number of smoking peers and attaining a higher self-perceived control. The unveiled heterogeneity of smoking behavior over time and the varied cross-dependencies between smoking data-driven typologies and those of underlying risk factors underscore the need of individually tailored approaches for motivational quitting.
Identifiants
pubmed: 31302376
pii: S0277-9536(19)30378-8
doi: 10.1016/j.socscimed.2019.112393
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
112393Informations de copyright
Copyright © 2019 Elsevier Ltd. All rights reserved.