Predictive factors for preventing hookah smoking and health promotion among young people based on the protection motivation theory

BACKGROUND: Smoking hookahs is one of the most preventable risk factors for non communicable diseases. It is also considered as the gateway to youth addiction. Planning and training to prevent this health problem is considered an important priority. The aim of this study was to determine the predict...

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Main Authors: Reza Sadeghi, Seyed Saeed Mazloomy Mahmoodabad, Hossein Fallahzadeh, Mohsen Rezaeian, Reza Bidaki, Narges Khanjani
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2019-01-01
Series:Journal of Education and Health Promotion
Subjects:
Online Access:http://www.jehp.net/article.asp?issn=2277-9531;year=2019;volume=8;issue=1;spage=169;epage=169;aulast=Sadeghi
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author Reza Sadeghi
Seyed Saeed Mazloomy Mahmoodabad
Hossein Fallahzadeh
Mohsen Rezaeian
Reza Bidaki
Narges Khanjani
author_facet Reza Sadeghi
Seyed Saeed Mazloomy Mahmoodabad
Hossein Fallahzadeh
Mohsen Rezaeian
Reza Bidaki
Narges Khanjani
author_sort Reza Sadeghi
collection DOAJ
description BACKGROUND: Smoking hookahs is one of the most preventable risk factors for non communicable diseases. It is also considered as the gateway to youth addiction. Planning and training to prevent this health problem is considered an important priority. The aim of this study was to determine the predictive factors for preventing hookah smoking (PHS) in the youth of Sirjan city, based on the protection motivation theory (PMT). MATERIALS AND METHODS: This research was a cross-sectional study conducted in 2018, and participants were chosen by simple random sampling. Data were collected by a researcher-made questionnaire which was valid and reliable and was designed based on the PMT constructs. This questionnaire was completed by 280 young people in Sirjan, Iran. Data were analyzed through descriptive statistics, Pearson correlation coefficients, and linear regression. RESULTS: Pearson correlation coefficients showed that there was a significant correlation between protection motivation and the structures of the PMT, except for the response cost structure. The strongest correlation was between protection motivation and self-efficacy (r = 0.502) and fear (r = 0.470). The structures of the PMT predicted 36.5% of PHS, and fear (β =0.27) was the strongest predictor of PHS. CONCLUSION: The results of this study show that the constructs of the PMT can partially predict PHS. This theory can be used as a tool for designing and implementing educational interventions to prevent hookah smoking among the youth.
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spelling doaj.art-60adf8a6b31748fd858665bb498322aa2022-12-22T02:40:00ZengWolters Kluwer Medknow PublicationsJournal of Education and Health Promotion2277-95312019-01-018116916910.4103/jehp.jehp_78_19Predictive factors for preventing hookah smoking and health promotion among young people based on the protection motivation theoryReza SadeghiSeyed Saeed Mazloomy MahmoodabadHossein FallahzadehMohsen RezaeianReza BidakiNarges KhanjaniBACKGROUND: Smoking hookahs is one of the most preventable risk factors for non communicable diseases. It is also considered as the gateway to youth addiction. Planning and training to prevent this health problem is considered an important priority. The aim of this study was to determine the predictive factors for preventing hookah smoking (PHS) in the youth of Sirjan city, based on the protection motivation theory (PMT). MATERIALS AND METHODS: This research was a cross-sectional study conducted in 2018, and participants were chosen by simple random sampling. Data were collected by a researcher-made questionnaire which was valid and reliable and was designed based on the PMT constructs. This questionnaire was completed by 280 young people in Sirjan, Iran. Data were analyzed through descriptive statistics, Pearson correlation coefficients, and linear regression. RESULTS: Pearson correlation coefficients showed that there was a significant correlation between protection motivation and the structures of the PMT, except for the response cost structure. The strongest correlation was between protection motivation and self-efficacy (r = 0.502) and fear (r = 0.470). The structures of the PMT predicted 36.5% of PHS, and fear (β =0.27) was the strongest predictor of PHS. CONCLUSION: The results of this study show that the constructs of the PMT can partially predict PHS. This theory can be used as a tool for designing and implementing educational interventions to prevent hookah smoking among the youth.http://www.jehp.net/article.asp?issn=2277-9531;year=2019;volume=8;issue=1;spage=169;epage=169;aulast=Sadeghihookahpredicting factorprotection motivation theoryyouth
spellingShingle Reza Sadeghi
Seyed Saeed Mazloomy Mahmoodabad
Hossein Fallahzadeh
Mohsen Rezaeian
Reza Bidaki
Narges Khanjani
Predictive factors for preventing hookah smoking and health promotion among young people based on the protection motivation theory
Journal of Education and Health Promotion
hookah
predicting factor
protection motivation theory
youth
title Predictive factors for preventing hookah smoking and health promotion among young people based on the protection motivation theory
title_full Predictive factors for preventing hookah smoking and health promotion among young people based on the protection motivation theory
title_fullStr Predictive factors for preventing hookah smoking and health promotion among young people based on the protection motivation theory
title_full_unstemmed Predictive factors for preventing hookah smoking and health promotion among young people based on the protection motivation theory
title_short Predictive factors for preventing hookah smoking and health promotion among young people based on the protection motivation theory
title_sort predictive factors for preventing hookah smoking and health promotion among young people based on the protection motivation theory
topic hookah
predicting factor
protection motivation theory
youth
url http://www.jehp.net/article.asp?issn=2277-9531;year=2019;volume=8;issue=1;spage=169;epage=169;aulast=Sadeghi
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