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Gender differential secular trend in lifetime smoking prevalence among adolescents: an age-period-cohort analysis

BACKGROUND: There has been a gender difference in adolescents’ lifetime smoking prevalence trends over the last 10 years. This study aimed to explain the gender differential secular trend in adolescents’ lifetime smoking prevalence using age-period-cohort (APC) analysis and suggests possible causes...

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Autores principales: Hwang, Jun Hyun, Park, Soon-Woo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6815049/
https://www.ncbi.nlm.nih.gov/pubmed/31653248
http://dx.doi.org/10.1186/s12889-019-7735-8
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author Hwang, Jun Hyun
Park, Soon-Woo
author_facet Hwang, Jun Hyun
Park, Soon-Woo
author_sort Hwang, Jun Hyun
collection PubMed
description BACKGROUND: There has been a gender difference in adolescents’ lifetime smoking prevalence trends over the last 10 years. This study aimed to explain the gender differential secular trend in adolescents’ lifetime smoking prevalence using age-period-cohort (APC) analysis and suggests possible causes for this trend, including Korean tobacco control policies during the last 10 years. METHODS: We utilized the 2006–2017 Korea Youth Risk Behavior Web-based Survey enrolling grades 7 to 12. Using year of survey and year of entry into middle school, we classified 859,814 students who had ever smoked into 6 age groups, 12 periods, and 17 school admission cohorts. Using APC analysis with the intrinsic estimator method, the effects of age, period, and school admission cohort on lifetime smoking prevalence were analyzed according to gender. RESULTS: Overall, there was a similar tendency of all the three effects on lifetime smoking prevalence between genders: an increasing age effect with grade, negative period effect with survey period, and similar pattern of school admission cohort groups. However, compared to boys, girls experienced reduction in the increasing age effect in the 12th grade, consistent and steeper decreasing trend in the period effect from 2006 to 2016, and shorter and lower school admission cohort effect. CONCLUSIONS: Gender differential response to chronological changes in lifetime smoking prevalence was measured by the APC effect, which affected the gender differential secular trend in lifetime smoking prevalence. Therefore, considering the APC effect could help us understand the trend in smoking rates, as well as the contextual factors that affect it.
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spelling pubmed-68150492019-10-31 Gender differential secular trend in lifetime smoking prevalence among adolescents: an age-period-cohort analysis Hwang, Jun Hyun Park, Soon-Woo BMC Public Health Research Article BACKGROUND: There has been a gender difference in adolescents’ lifetime smoking prevalence trends over the last 10 years. This study aimed to explain the gender differential secular trend in adolescents’ lifetime smoking prevalence using age-period-cohort (APC) analysis and suggests possible causes for this trend, including Korean tobacco control policies during the last 10 years. METHODS: We utilized the 2006–2017 Korea Youth Risk Behavior Web-based Survey enrolling grades 7 to 12. Using year of survey and year of entry into middle school, we classified 859,814 students who had ever smoked into 6 age groups, 12 periods, and 17 school admission cohorts. Using APC analysis with the intrinsic estimator method, the effects of age, period, and school admission cohort on lifetime smoking prevalence were analyzed according to gender. RESULTS: Overall, there was a similar tendency of all the three effects on lifetime smoking prevalence between genders: an increasing age effect with grade, negative period effect with survey period, and similar pattern of school admission cohort groups. However, compared to boys, girls experienced reduction in the increasing age effect in the 12th grade, consistent and steeper decreasing trend in the period effect from 2006 to 2016, and shorter and lower school admission cohort effect. CONCLUSIONS: Gender differential response to chronological changes in lifetime smoking prevalence was measured by the APC effect, which affected the gender differential secular trend in lifetime smoking prevalence. Therefore, considering the APC effect could help us understand the trend in smoking rates, as well as the contextual factors that affect it. BioMed Central 2019-10-25 /pmc/articles/PMC6815049/ /pubmed/31653248 http://dx.doi.org/10.1186/s12889-019-7735-8 Text en © The Author(s). 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Hwang, Jun Hyun
Park, Soon-Woo
Gender differential secular trend in lifetime smoking prevalence among adolescents: an age-period-cohort analysis
title Gender differential secular trend in lifetime smoking prevalence among adolescents: an age-period-cohort analysis
title_full Gender differential secular trend in lifetime smoking prevalence among adolescents: an age-period-cohort analysis
title_fullStr Gender differential secular trend in lifetime smoking prevalence among adolescents: an age-period-cohort analysis
title_full_unstemmed Gender differential secular trend in lifetime smoking prevalence among adolescents: an age-period-cohort analysis
title_short Gender differential secular trend in lifetime smoking prevalence among adolescents: an age-period-cohort analysis
title_sort gender differential secular trend in lifetime smoking prevalence among adolescents: an age-period-cohort analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6815049/
https://www.ncbi.nlm.nih.gov/pubmed/31653248
http://dx.doi.org/10.1186/s12889-019-7735-8
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