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Beyond experimentation: Five trajectories of cigarette smoking in a longitudinal sample of youth

The first goal of this study was to identify the most appropriate measure of cigarette smoking for identifying unique smoking trajectories among adolescents; the second goal was to describe the resulting trajectories and their characteristics. Using 15 annual waves of smoking data in the National Lo...

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Autores principales: Dutra, Lauren M., Glantz, Stanton A., Lisha, Nadra E., Song, Anna V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5300123/
https://www.ncbi.nlm.nih.gov/pubmed/28182748
http://dx.doi.org/10.1371/journal.pone.0171808
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author Dutra, Lauren M.
Glantz, Stanton A.
Lisha, Nadra E.
Song, Anna V.
author_facet Dutra, Lauren M.
Glantz, Stanton A.
Lisha, Nadra E.
Song, Anna V.
author_sort Dutra, Lauren M.
collection PubMed
description The first goal of this study was to identify the most appropriate measure of cigarette smoking for identifying unique smoking trajectories among adolescents; the second goal was to describe the resulting trajectories and their characteristics. Using 15 annual waves of smoking data in the National Longitudinal Survey of Youth 1997 (NLSY97), we conducted an exploratory latent class growth analysis to determine the best of four outcome variables for yearly smoking (cigarettes per day on days smoked, days smoked per month, mean cigarettes per day, and total cigarettes per month) among individuals aged 12 to 30 (n = 8,791). Days smoked per month was the best outcome variable for identifying unique longitudinal trajectories of smoking and characteristics of these trajectories that could be used to target different types of smokers for prevention and cessation. Objective statistics were used to identify four trajectories in addition to never smokers (34.1%): experimenters (13.6%), quitters (8.1%), early established smokers (39.0%), and late escalators (5.2%). We identified a quitter and late escalator class not identified in the only other comparable latent class growth analysis. Logistic regressions were used to identify the characteristics of individuals in each trajectory. Compared with never smokers, all trajectories except late escalators were less likely to be black; experimenters were more likely to be out of school and unemployed and drink alcohol in adolescence; quitters were more likely to have a mother with a high school degree/GED or higher (versus none) and to use substances in adolescence and less likely to have ever married as a young adult; early established smokers were more likely to have a mother with a high school diploma or GED, be out of school and unemployed, not live with both parents, have used substances, be depressed, and have peers who smoked in adolescence and to have children as young adults and less likely to be Hispanic and to have ever married as young adults; and late escalators were more likely to be Hispanic, drink alcohol, and break rules in adolescence and less likely to have ever married as young adults. Because of the number of waves of data analyzed, this analysis provided a clearer temporal depiction of smoking behavior and more easily distinguishable smoking trajectories than previous analyses. Tobacco control interventions need to move beyond youth-focused approaches to reach all smokers.
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spelling pubmed-53001232017-02-28 Beyond experimentation: Five trajectories of cigarette smoking in a longitudinal sample of youth Dutra, Lauren M. Glantz, Stanton A. Lisha, Nadra E. Song, Anna V. PLoS One Research Article The first goal of this study was to identify the most appropriate measure of cigarette smoking for identifying unique smoking trajectories among adolescents; the second goal was to describe the resulting trajectories and their characteristics. Using 15 annual waves of smoking data in the National Longitudinal Survey of Youth 1997 (NLSY97), we conducted an exploratory latent class growth analysis to determine the best of four outcome variables for yearly smoking (cigarettes per day on days smoked, days smoked per month, mean cigarettes per day, and total cigarettes per month) among individuals aged 12 to 30 (n = 8,791). Days smoked per month was the best outcome variable for identifying unique longitudinal trajectories of smoking and characteristics of these trajectories that could be used to target different types of smokers for prevention and cessation. Objective statistics were used to identify four trajectories in addition to never smokers (34.1%): experimenters (13.6%), quitters (8.1%), early established smokers (39.0%), and late escalators (5.2%). We identified a quitter and late escalator class not identified in the only other comparable latent class growth analysis. Logistic regressions were used to identify the characteristics of individuals in each trajectory. Compared with never smokers, all trajectories except late escalators were less likely to be black; experimenters were more likely to be out of school and unemployed and drink alcohol in adolescence; quitters were more likely to have a mother with a high school degree/GED or higher (versus none) and to use substances in adolescence and less likely to have ever married as a young adult; early established smokers were more likely to have a mother with a high school diploma or GED, be out of school and unemployed, not live with both parents, have used substances, be depressed, and have peers who smoked in adolescence and to have children as young adults and less likely to be Hispanic and to have ever married as young adults; and late escalators were more likely to be Hispanic, drink alcohol, and break rules in adolescence and less likely to have ever married as young adults. Because of the number of waves of data analyzed, this analysis provided a clearer temporal depiction of smoking behavior and more easily distinguishable smoking trajectories than previous analyses. Tobacco control interventions need to move beyond youth-focused approaches to reach all smokers. Public Library of Science 2017-02-09 /pmc/articles/PMC5300123/ /pubmed/28182748 http://dx.doi.org/10.1371/journal.pone.0171808 Text en © 2017 Dutra et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Dutra, Lauren M.
Glantz, Stanton A.
Lisha, Nadra E.
Song, Anna V.
Beyond experimentation: Five trajectories of cigarette smoking in a longitudinal sample of youth
title Beyond experimentation: Five trajectories of cigarette smoking in a longitudinal sample of youth
title_full Beyond experimentation: Five trajectories of cigarette smoking in a longitudinal sample of youth
title_fullStr Beyond experimentation: Five trajectories of cigarette smoking in a longitudinal sample of youth
title_full_unstemmed Beyond experimentation: Five trajectories of cigarette smoking in a longitudinal sample of youth
title_short Beyond experimentation: Five trajectories of cigarette smoking in a longitudinal sample of youth
title_sort beyond experimentation: five trajectories of cigarette smoking in a longitudinal sample of youth
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5300123/
https://www.ncbi.nlm.nih.gov/pubmed/28182748
http://dx.doi.org/10.1371/journal.pone.0171808
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