Dynamic, data-driven typologies of long-term smoking, cessation, and their correlates: Findings from the International Tobacco Control (ITC) Netherlands Survey

Valeria Lima Passos; Rik Crutzen; Johannes T. Feder; Marc C. Willemsen; Paul Lemmens; Karin Hummel

doi:10.1016/j.socscimed.2019.112393

Dynamic, data-driven typologies of long-term smoking, cessation, and their correlates: Findings from the International Tobacco Control (ITC) Netherlands Survey

Valeria Lima Passos^*, Rik Crutzen, Johannes T. Feder, Marc C. Willemsen, Paul Lemmens, Karin Hummel

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

Rationale: 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.

Objective: 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. Methods: 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.

Results: 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.

Conclusion: 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.

Original language	English
Article number	112393
Number of pages	14
Journal	Social Science & Medicine
Volume	235
DOIs	https://doi.org/10.1016/j.socscimed.2019.112393
Publication status	Published - Aug 2019

Keywords

Smoking
Cessation trajectories
Long term
Psychosocial
Constructs
International Tobacco Control (ITC)
Netherlands
Group-based
Trajectory modeling
SOCIOECONOMIC-STATUS
GENDER-DIFFERENCES
CIGARETTE-SMOKING
SOCIAL NETWORKS
EARLY ADULTHOOD
SELF-EFFICACY
SMOKERS
QUIT
BEHAVIOR
PREDICTORS

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10.1016/j.socscimed.2019.112393

Cite this

@article{0f3b23d6d2a1461f989267e5da74bddf,

title = "Dynamic, data-driven typologies of long-term smoking, cessation, and their correlates: Findings from the International Tobacco Control (ITC) Netherlands Survey",

abstract = "Rationale: 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.Objective: 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. Methods: 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.Results: 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.Conclusion: 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.",

keywords = "Smoking, Cessation trajectories, Long term, Psychosocial, Constructs, International Tobacco Control (ITC), Netherlands, Group-based, Trajectory modeling, SOCIOECONOMIC-STATUS, GENDER-DIFFERENCES, CIGARETTE-SMOKING, SOCIAL NETWORKS, EARLY ADULTHOOD, SELF-EFFICACY, SMOKERS, QUIT, BEHAVIOR, PREDICTORS",

author = "Passos, {Valeria Lima} and Rik Crutzen and Feder, {Johannes T.} and Willemsen, {Marc C.} and Paul Lemmens and Karin Hummel",

note = "Funding Information: The ITC Netherlands Surveys were supported by grants from The Netherlands Organisation for Health Research and Development ( ZonMw 121010008 , ZonMw, 200130002 ), The SILNE Project (funded by the European Commission through FP7 HEALTH-F3-2011-278273 ) and the Dutch Cancer Foundation ( KWF ) ( UM, 2014-7210 ). Funding Information: The ITC Netherlands Surveys were supported by grants from The Netherlands Organisation for Health Research and Development (ZonMw 121010008, ZonMw, 200130002), The SILNE Project (funded by the European Commission through FP7 HEALTH-F3-2011-278273) and the Dutch Cancer Foundation (KWF) (UM, 2014-7210). Several members of the ITC Project team at the University of Waterloo have assisted in all stages of conducting the ITC Surveys, which we gratefully acknowledge. We thank, in particular, Mary Thompson for her careful comments on the initial draft of the manuscript, Thomas Agar, the Project Manager of the ITC Europe Project, and Anne C.K. Quah, the ITC Managing Director. We are further indebted to Lianne Ippel and Kevin van Zandvoort for their assistance with the R program, and to the reviewers for their diligent constructive criticism. Publisher Copyright: {\textcopyright} 2019 Elsevier Ltd",

year = "2019",

month = aug,

doi = "10.1016/j.socscimed.2019.112393",

language = "English",

volume = "235",

journal = "Social Science & Medicine",

issn = "0277-9536",

publisher = "Elsevier Ltd",

}

TY - JOUR

T1 - Dynamic, data-driven typologies of long-term smoking, cessation, and their correlates

T2 - Findings from the International Tobacco Control (ITC) Netherlands Survey

AU - Passos, Valeria Lima

AU - Crutzen, Rik

AU - Feder, Johannes T.

AU - Willemsen, Marc C.

AU - Lemmens, Paul

AU - Hummel, Karin

N1 - Funding Information: The ITC Netherlands Surveys were supported by grants from The Netherlands Organisation for Health Research and Development ( ZonMw 121010008 , ZonMw, 200130002 ), The SILNE Project (funded by the European Commission through FP7 HEALTH-F3-2011-278273 ) and the Dutch Cancer Foundation ( KWF ) ( UM, 2014-7210 ). Funding Information: The ITC Netherlands Surveys were supported by grants from The Netherlands Organisation for Health Research and Development (ZonMw 121010008, ZonMw, 200130002), The SILNE Project (funded by the European Commission through FP7 HEALTH-F3-2011-278273) and the Dutch Cancer Foundation (KWF) (UM, 2014-7210). Several members of the ITC Project team at the University of Waterloo have assisted in all stages of conducting the ITC Surveys, which we gratefully acknowledge. We thank, in particular, Mary Thompson for her careful comments on the initial draft of the manuscript, Thomas Agar, the Project Manager of the ITC Europe Project, and Anne C.K. Quah, the ITC Managing Director. We are further indebted to Lianne Ippel and Kevin van Zandvoort for their assistance with the R program, and to the reviewers for their diligent constructive criticism. Publisher Copyright: © 2019 Elsevier Ltd

PY - 2019/8

Y1 - 2019/8

N2 - Rationale: 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.Objective: 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. Methods: 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.Results: 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.Conclusion: 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.

AB - Rationale: 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.Objective: 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. Methods: 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.Results: 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.Conclusion: 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.

KW - Smoking

KW - Cessation trajectories

KW - Long term

KW - Psychosocial

KW - Constructs

KW - International Tobacco Control (ITC)

KW - Netherlands

KW - Group-based

KW - Trajectory modeling

KW - SOCIOECONOMIC-STATUS

KW - GENDER-DIFFERENCES

KW - CIGARETTE-SMOKING

KW - SOCIAL NETWORKS

KW - EARLY ADULTHOOD

KW - SELF-EFFICACY

KW - SMOKERS

KW - QUIT

KW - BEHAVIOR

KW - PREDICTORS

U2 - 10.1016/j.socscimed.2019.112393

DO - 10.1016/j.socscimed.2019.112393

M3 - Article

C2 - 31302376

SN - 0277-9536

VL - 235

JO - Social Science & Medicine

JF - Social Science & Medicine

M1 - 112393

ER -