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The use of planned behavior theory in predicting cigarette smoking among Waterpipe smokers

BACKGROUND: Waterpipe and cigarette smoking have been found to be associated with each other as cigarette smokers were more likely to be waterpipe users than non-cigarette smokers. Also, waterpipe smokers were likely to be former daily cigarette users. The aim of this study is to examine the likelih...

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Autores principales: Alanazi, Naif H., Lee, Jerry W., Dos Santos, Hildemar, Job, Jayakaran S., Bahjri, Khaled
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5496426/
https://www.ncbi.nlm.nih.gov/pubmed/28690480
http://dx.doi.org/10.1186/s12971-017-0133-z
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author Alanazi, Naif H.
Lee, Jerry W.
Dos Santos, Hildemar
Job, Jayakaran S.
Bahjri, Khaled
author_facet Alanazi, Naif H.
Lee, Jerry W.
Dos Santos, Hildemar
Job, Jayakaran S.
Bahjri, Khaled
author_sort Alanazi, Naif H.
collection PubMed
description BACKGROUND: Waterpipe and cigarette smoking have been found to be associated with each other as cigarette smokers were more likely to be waterpipe users than non-cigarette smokers. Also, waterpipe smokers were likely to be former daily cigarette users. The aim of this study is to examine the likelihood of waterpipe use leading to cigarette use among current waterpipe users using theory of planned behavior. METHODS: Four hundred six current waterpipe smokers who initially had started tobacco use with the waterpipe were recruited from 15 waterpipe lounges in 2015. From a total of 70 waterpipe lounges in Riyadh, the 15 waterpipe lounges were selected randomly and participants were also selected randomly inside each waterpipe lounge based on the table or section number. The survey was developed using the Qualtrics Online Survey Software and participants completed a survey using iPad tablets. RESULTS: Cigarette smoking and intention to smoke cigarettes were predicted by attitude and perceived behavioral control. There was no direct effect of subjective norm on the cigarette use behavior, yet subjective norm had a statistically significant indirect effect on intentions through attitude and perceived behavioral control. CONCLUSIONS: The findings of this study could be useful in prevention/intervention programs aimed at reducing tobacco smoking behaviors among waterpipe users. Intervention programs might be directed at the attitude and perceived behavioral control by targeting underlying behavioral and control beliefs. The theory of planned behavior provided solid explanations of intention to use cigarettes among waterpipe smokers.
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spelling pubmed-54964262017-07-07 The use of planned behavior theory in predicting cigarette smoking among Waterpipe smokers Alanazi, Naif H. Lee, Jerry W. Dos Santos, Hildemar Job, Jayakaran S. Bahjri, Khaled Tob Induc Dis Research BACKGROUND: Waterpipe and cigarette smoking have been found to be associated with each other as cigarette smokers were more likely to be waterpipe users than non-cigarette smokers. Also, waterpipe smokers were likely to be former daily cigarette users. The aim of this study is to examine the likelihood of waterpipe use leading to cigarette use among current waterpipe users using theory of planned behavior. METHODS: Four hundred six current waterpipe smokers who initially had started tobacco use with the waterpipe were recruited from 15 waterpipe lounges in 2015. From a total of 70 waterpipe lounges in Riyadh, the 15 waterpipe lounges were selected randomly and participants were also selected randomly inside each waterpipe lounge based on the table or section number. The survey was developed using the Qualtrics Online Survey Software and participants completed a survey using iPad tablets. RESULTS: Cigarette smoking and intention to smoke cigarettes were predicted by attitude and perceived behavioral control. There was no direct effect of subjective norm on the cigarette use behavior, yet subjective norm had a statistically significant indirect effect on intentions through attitude and perceived behavioral control. CONCLUSIONS: The findings of this study could be useful in prevention/intervention programs aimed at reducing tobacco smoking behaviors among waterpipe users. Intervention programs might be directed at the attitude and perceived behavioral control by targeting underlying behavioral and control beliefs. The theory of planned behavior provided solid explanations of intention to use cigarettes among waterpipe smokers. BioMed Central 2017-07-03 /pmc/articles/PMC5496426/ /pubmed/28690480 http://dx.doi.org/10.1186/s12971-017-0133-z Text en © The Author(s). 2017 Open AccessThis 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
Alanazi, Naif H.
Lee, Jerry W.
Dos Santos, Hildemar
Job, Jayakaran S.
Bahjri, Khaled
The use of planned behavior theory in predicting cigarette smoking among Waterpipe smokers
title The use of planned behavior theory in predicting cigarette smoking among Waterpipe smokers
title_full The use of planned behavior theory in predicting cigarette smoking among Waterpipe smokers
title_fullStr The use of planned behavior theory in predicting cigarette smoking among Waterpipe smokers
title_full_unstemmed The use of planned behavior theory in predicting cigarette smoking among Waterpipe smokers
title_short The use of planned behavior theory in predicting cigarette smoking among Waterpipe smokers
title_sort use of planned behavior theory in predicting cigarette smoking among waterpipe smokers
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5496426/
https://www.ncbi.nlm.nih.gov/pubmed/28690480
http://dx.doi.org/10.1186/s12971-017-0133-z
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