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Smoking motivators are different among cigarette and waterpipe smokers: The results of ITUPP

The present study explores different drivers of cigarette and water pipe smoking among middle and high school students in Isfahan province. A questionnaire-based cross-sectional study was conducted. Trained staff collected questionnaires and saliva samples for response accuracy evaluation. Prevalenc...

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Autores principales: Roohafza, Hamidreza, Heidari, Kamal, Alinia, Tahereh, Omidi, Razieh, Sadeghi, Masoumeh, Andalib, Elham, Ajami, Ali, Sarrafzadegan, Nizal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Atlantis Press 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7320528/
https://www.ncbi.nlm.nih.gov/pubmed/26231400
http://dx.doi.org/10.1016/j.jegh.2014.12.003
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author Roohafza, Hamidreza
Heidari, Kamal
Alinia, Tahereh
Omidi, Razieh
Sadeghi, Masoumeh
Andalib, Elham
Ajami, Ali
Sarrafzadegan, Nizal
author_facet Roohafza, Hamidreza
Heidari, Kamal
Alinia, Tahereh
Omidi, Razieh
Sadeghi, Masoumeh
Andalib, Elham
Ajami, Ali
Sarrafzadegan, Nizal
author_sort Roohafza, Hamidreza
collection PubMed
description The present study explores different drivers of cigarette and water pipe smoking among middle and high school students in Isfahan province. A questionnaire-based cross-sectional study was conducted. Trained staff collected questionnaires and saliva samples for response accuracy evaluation. Prevalence by demographic, parental and educational factors was calculated. Logistic regression was applied to compare behavior drivers of those who purely smoked cigarettes or a waterpipe. Waterpipe smokers were considered as the reference category. This study reported ORs along 95% confidence intervals; 5408 questionnaires were returned. The sample age was 15.37 ± 01.70 on average. The self-reported prevalence of cigarette and waterpipe experimentation was 11.60% (n = 624) and 20.70% (n = 1,109), respectively; and 5.08% (n = 311), 11.06% (n = 619) for smokers, and 13.30% (n = 711) for the whole sample. Psychological factors were the most important driver for cigarette smoking; bad event happening with odds of 2.38 (95% CI: 1.29–4.39); angriness 2.58 times (95% CI: 1.51–4.43); and distress by 2.49 times (95% CI: 1.42–4.40). Habitual situations were strong predictors of cigarette smoking, but not a predictor of waterpipe smoking, such as smoking after a meal (OR = 3.11, 95% CI: 1.67–5.77); and smoking after waking up (OR = 2.56, 95% CI: 1.42–4.40). Comprehensive and multifaceted preventive programs must tailor identified factors and increase family’s awareness.
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spelling pubmed-73205282020-07-28 Smoking motivators are different among cigarette and waterpipe smokers: The results of ITUPP Roohafza, Hamidreza Heidari, Kamal Alinia, Tahereh Omidi, Razieh Sadeghi, Masoumeh Andalib, Elham Ajami, Ali Sarrafzadegan, Nizal J Epidemiol Glob Health Article The present study explores different drivers of cigarette and water pipe smoking among middle and high school students in Isfahan province. A questionnaire-based cross-sectional study was conducted. Trained staff collected questionnaires and saliva samples for response accuracy evaluation. Prevalence by demographic, parental and educational factors was calculated. Logistic regression was applied to compare behavior drivers of those who purely smoked cigarettes or a waterpipe. Waterpipe smokers were considered as the reference category. This study reported ORs along 95% confidence intervals; 5408 questionnaires were returned. The sample age was 15.37 ± 01.70 on average. The self-reported prevalence of cigarette and waterpipe experimentation was 11.60% (n = 624) and 20.70% (n = 1,109), respectively; and 5.08% (n = 311), 11.06% (n = 619) for smokers, and 13.30% (n = 711) for the whole sample. Psychological factors were the most important driver for cigarette smoking; bad event happening with odds of 2.38 (95% CI: 1.29–4.39); angriness 2.58 times (95% CI: 1.51–4.43); and distress by 2.49 times (95% CI: 1.42–4.40). Habitual situations were strong predictors of cigarette smoking, but not a predictor of waterpipe smoking, such as smoking after a meal (OR = 3.11, 95% CI: 1.67–5.77); and smoking after waking up (OR = 2.56, 95% CI: 1.42–4.40). Comprehensive and multifaceted preventive programs must tailor identified factors and increase family’s awareness. Atlantis Press 2015 2015-01-30 /pmc/articles/PMC7320528/ /pubmed/26231400 http://dx.doi.org/10.1016/j.jegh.2014.12.003 Text en © 2015 Ministry of Health, Saudi Arabia. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Roohafza, Hamidreza
Heidari, Kamal
Alinia, Tahereh
Omidi, Razieh
Sadeghi, Masoumeh
Andalib, Elham
Ajami, Ali
Sarrafzadegan, Nizal
Smoking motivators are different among cigarette and waterpipe smokers: The results of ITUPP
title Smoking motivators are different among cigarette and waterpipe smokers: The results of ITUPP
title_full Smoking motivators are different among cigarette and waterpipe smokers: The results of ITUPP
title_fullStr Smoking motivators are different among cigarette and waterpipe smokers: The results of ITUPP
title_full_unstemmed Smoking motivators are different among cigarette and waterpipe smokers: The results of ITUPP
title_short Smoking motivators are different among cigarette and waterpipe smokers: The results of ITUPP
title_sort smoking motivators are different among cigarette and waterpipe smokers: the results of itupp
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7320528/
https://www.ncbi.nlm.nih.gov/pubmed/26231400
http://dx.doi.org/10.1016/j.jegh.2014.12.003
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