Predicting binge drinking among university students: Application of integrated behavioral model.

<h4>Background</h4>Binge drinking is a pattern of harmful use of alcohol and it is defined as four drinks for women and five drinks for men in about 2 hours. This behavior causes public health problems like damaging different body organs.<h4>Objective</h4>To assess binge drin...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Hordofa Gutema, Yamrot Debela, Bizuayehu Walle, Kidist Reba, Tebkew Shibabaw, Tolera Disasa
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2021
Materias:
R
Q
Acceso en línea:https://doaj.org/article/86c567248a054e72941baf07ece3f0c2
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:86c567248a054e72941baf07ece3f0c2
record_format dspace
spelling oai:doaj.org-article:86c567248a054e72941baf07ece3f0c22021-12-02T20:09:21ZPredicting binge drinking among university students: Application of integrated behavioral model.1932-620310.1371/journal.pone.0254185https://doaj.org/article/86c567248a054e72941baf07ece3f0c22021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0254185https://doaj.org/toc/1932-6203<h4>Background</h4>Binge drinking is a pattern of harmful use of alcohol and it is defined as four drinks for women and five drinks for men in about 2 hours. This behavior causes public health problems like damaging different body organs.<h4>Objective</h4>To assess binge drinking and associated factors among Bahir Dar University students in Northwest Ethiopia.<h4>Method</h4>A cross sectional study was conducted in November 2017. Systematic sampling technique was used to select 422 participants. Structured questionnaire was used to collect data. Linear and Logistic regression models were used to predict the role of explanatory variables on behavioral intention and binge drinking, respectively. Independent variables with a p-value of <0.05 at 95% confidence interval were considered as statistically significant in the final model.<h4>Result</h4>A total of 413 students participated in this study and 33.4%(95% CI: 28.3-38.9) were engaged in binge drinking. Experiential attitude, instrumental attitude, and self-efficacy were found to be significant predictors of intention to binge drinking (p<0.05). Experiential attitude, environmental constraint, injunctive norm, and knowledge predictors were significantly associated with binge drinking (p<0.05).<h4>Conclusion</h4>Our study indicated that one-third of the students practiced binge drinking. This behavior was associated with experiential attitude, injunctive norm, environmental constraints, and knowledge factors. Additionally, experiential attitude, instrumental attitude, and self-efficacy constructs had explained behavioral intention. This implies focusing on the abovementioned determinant factors is imperative while designing intervention strategy.Hordofa GutemaYamrot DebelaBizuayehu WalleKidist RebaTebkew ShibabawTolera DisasaPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 7, p e0254185 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Hordofa Gutema
Yamrot Debela
Bizuayehu Walle
Kidist Reba
Tebkew Shibabaw
Tolera Disasa
Predicting binge drinking among university students: Application of integrated behavioral model.
description <h4>Background</h4>Binge drinking is a pattern of harmful use of alcohol and it is defined as four drinks for women and five drinks for men in about 2 hours. This behavior causes public health problems like damaging different body organs.<h4>Objective</h4>To assess binge drinking and associated factors among Bahir Dar University students in Northwest Ethiopia.<h4>Method</h4>A cross sectional study was conducted in November 2017. Systematic sampling technique was used to select 422 participants. Structured questionnaire was used to collect data. Linear and Logistic regression models were used to predict the role of explanatory variables on behavioral intention and binge drinking, respectively. Independent variables with a p-value of <0.05 at 95% confidence interval were considered as statistically significant in the final model.<h4>Result</h4>A total of 413 students participated in this study and 33.4%(95% CI: 28.3-38.9) were engaged in binge drinking. Experiential attitude, instrumental attitude, and self-efficacy were found to be significant predictors of intention to binge drinking (p<0.05). Experiential attitude, environmental constraint, injunctive norm, and knowledge predictors were significantly associated with binge drinking (p<0.05).<h4>Conclusion</h4>Our study indicated that one-third of the students practiced binge drinking. This behavior was associated with experiential attitude, injunctive norm, environmental constraints, and knowledge factors. Additionally, experiential attitude, instrumental attitude, and self-efficacy constructs had explained behavioral intention. This implies focusing on the abovementioned determinant factors is imperative while designing intervention strategy.
format article
author Hordofa Gutema
Yamrot Debela
Bizuayehu Walle
Kidist Reba
Tebkew Shibabaw
Tolera Disasa
author_facet Hordofa Gutema
Yamrot Debela
Bizuayehu Walle
Kidist Reba
Tebkew Shibabaw
Tolera Disasa
author_sort Hordofa Gutema
title Predicting binge drinking among university students: Application of integrated behavioral model.
title_short Predicting binge drinking among university students: Application of integrated behavioral model.
title_full Predicting binge drinking among university students: Application of integrated behavioral model.
title_fullStr Predicting binge drinking among university students: Application of integrated behavioral model.
title_full_unstemmed Predicting binge drinking among university students: Application of integrated behavioral model.
title_sort predicting binge drinking among university students: application of integrated behavioral model.
publisher Public Library of Science (PLoS)
publishDate 2021
url https://doaj.org/article/86c567248a054e72941baf07ece3f0c2
work_keys_str_mv AT hordofagutema predictingbingedrinkingamonguniversitystudentsapplicationofintegratedbehavioralmodel
AT yamrotdebela predictingbingedrinkingamonguniversitystudentsapplicationofintegratedbehavioralmodel
AT bizuayehuwalle predictingbingedrinkingamonguniversitystudentsapplicationofintegratedbehavioralmodel
AT kidistreba predictingbingedrinkingamonguniversitystudentsapplicationofintegratedbehavioralmodel
AT tebkewshibabaw predictingbingedrinkingamonguniversitystudentsapplicationofintegratedbehavioralmodel
AT toleradisasa predictingbingedrinkingamonguniversitystudentsapplicationofintegratedbehavioralmodel
_version_ 1718375072513654784