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Prevalence and predictors of alcohol use among adult males in Ethiopia: multilevel analysis of Ethiopian Demographic and Health Survey 2016

BACKGROUND: Alcohol is a psychoactive substance that is widely consumed in the world. Alcohol use is one of the world’s leading risk factors for disease and disability. It affects individuals’ physical, mental, economic, and social issues. To our knowledge, there is limited study on alcohol consumpt...

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Autores principales: Tessema, Zemenu Tadesse, Zeleke, Tadele Amare
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7720552/
https://www.ncbi.nlm.nih.gov/pubmed/33353567
http://dx.doi.org/10.1186/s41182-020-00287-8
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author Tessema, Zemenu Tadesse
Zeleke, Tadele Amare
author_facet Tessema, Zemenu Tadesse
Zeleke, Tadele Amare
author_sort Tessema, Zemenu Tadesse
collection PubMed
description BACKGROUND: Alcohol is a psychoactive substance that is widely consumed in the world. Alcohol use is one of the world’s leading risk factors for disease and disability. It affects individuals’ physical, mental, economic, and social issues. To our knowledge, there is limited study on alcohol consumption and associated factors. Therefore, this study aimed to determine the prevalence and predictors of alcohol use in Ethiopia by using the 2016 Ethiopian Demographic and Health Survey. METHODS: This study was based on the most recent Ethiopian Demographic and Health Survey 2016. A total of 12,594 men at the age of 15 to 59 were included in this study. Considering the hierarchical nature of EDHS data, a multilevel logistic regression model was applied. The ICC, MOR, and the LR test were done to assess the presence of a significant clustering effect. Besides, deviance was used for model comparison since the models were nested models. Variables with a p value ≤ 0.2 in the bivariable analysis were considered for the multivariable analysis. In the multilevel logistic regression, the adjusted odds ratio (AOR) with 95% confidence interval (CI) was reported to declare the strength and significance of the association between the dependent variable and independent variables. RESULTS: The prevalence of alcohol drinking in this study was 46.64% with a 95% CI of 45.00 to 47.00%. Age groups 30–44 (AOR = 1.30, 95% CI 1.08, 1.56) and 45–59 (AOR = 1.38, 95% CI 1.10, 1.74), Orthodox religion follower (AOR = 0.36, 95% CI 0.24, 0.55), media exposure (AOR = 1.67, 95% CI 1.41, 2.20), khat chewing (AOR = 3.08, 95% CI 2.54, 3.74), smoking (AOR = 2.18, 95% CI 1.71, 2.79), having no occupation (AOR = 0.34, 95% CI 0.22, 0.51), and region were the predictors of alcohol use in Ethiopia. CONCLUSIONS: Nearly half of the Ethiopian population reported alcohol use at least once in their lifetime. Old age, Orthodox religion followers, media exposure, khat chewing, smoking, and having no occupation were predictors of alcohol use in Ethiopia. Therefore, health education about the risk of alcohol used is highly recommended. In addition, khat chewing and smoking control mechanisms should be designed and given special attention. Advertising alcohol through media is better to be controlled. Job opportunities should also be created for those who have no occupation to mitigate alcohol use in Ethiopia.
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spelling pubmed-77205522020-12-07 Prevalence and predictors of alcohol use among adult males in Ethiopia: multilevel analysis of Ethiopian Demographic and Health Survey 2016 Tessema, Zemenu Tadesse Zeleke, Tadele Amare Trop Med Health Research BACKGROUND: Alcohol is a psychoactive substance that is widely consumed in the world. Alcohol use is one of the world’s leading risk factors for disease and disability. It affects individuals’ physical, mental, economic, and social issues. To our knowledge, there is limited study on alcohol consumption and associated factors. Therefore, this study aimed to determine the prevalence and predictors of alcohol use in Ethiopia by using the 2016 Ethiopian Demographic and Health Survey. METHODS: This study was based on the most recent Ethiopian Demographic and Health Survey 2016. A total of 12,594 men at the age of 15 to 59 were included in this study. Considering the hierarchical nature of EDHS data, a multilevel logistic regression model was applied. The ICC, MOR, and the LR test were done to assess the presence of a significant clustering effect. Besides, deviance was used for model comparison since the models were nested models. Variables with a p value ≤ 0.2 in the bivariable analysis were considered for the multivariable analysis. In the multilevel logistic regression, the adjusted odds ratio (AOR) with 95% confidence interval (CI) was reported to declare the strength and significance of the association between the dependent variable and independent variables. RESULTS: The prevalence of alcohol drinking in this study was 46.64% with a 95% CI of 45.00 to 47.00%. Age groups 30–44 (AOR = 1.30, 95% CI 1.08, 1.56) and 45–59 (AOR = 1.38, 95% CI 1.10, 1.74), Orthodox religion follower (AOR = 0.36, 95% CI 0.24, 0.55), media exposure (AOR = 1.67, 95% CI 1.41, 2.20), khat chewing (AOR = 3.08, 95% CI 2.54, 3.74), smoking (AOR = 2.18, 95% CI 1.71, 2.79), having no occupation (AOR = 0.34, 95% CI 0.22, 0.51), and region were the predictors of alcohol use in Ethiopia. CONCLUSIONS: Nearly half of the Ethiopian population reported alcohol use at least once in their lifetime. Old age, Orthodox religion followers, media exposure, khat chewing, smoking, and having no occupation were predictors of alcohol use in Ethiopia. Therefore, health education about the risk of alcohol used is highly recommended. In addition, khat chewing and smoking control mechanisms should be designed and given special attention. Advertising alcohol through media is better to be controlled. Job opportunities should also be created for those who have no occupation to mitigate alcohol use in Ethiopia. BioMed Central 2020-12-07 /pmc/articles/PMC7720552/ /pubmed/33353567 http://dx.doi.org/10.1186/s41182-020-00287-8 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Research
Tessema, Zemenu Tadesse
Zeleke, Tadele Amare
Prevalence and predictors of alcohol use among adult males in Ethiopia: multilevel analysis of Ethiopian Demographic and Health Survey 2016
title Prevalence and predictors of alcohol use among adult males in Ethiopia: multilevel analysis of Ethiopian Demographic and Health Survey 2016
title_full Prevalence and predictors of alcohol use among adult males in Ethiopia: multilevel analysis of Ethiopian Demographic and Health Survey 2016
title_fullStr Prevalence and predictors of alcohol use among adult males in Ethiopia: multilevel analysis of Ethiopian Demographic and Health Survey 2016
title_full_unstemmed Prevalence and predictors of alcohol use among adult males in Ethiopia: multilevel analysis of Ethiopian Demographic and Health Survey 2016
title_short Prevalence and predictors of alcohol use among adult males in Ethiopia: multilevel analysis of Ethiopian Demographic and Health Survey 2016
title_sort prevalence and predictors of alcohol use among adult males in ethiopia: multilevel analysis of ethiopian demographic and health survey 2016
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7720552/
https://www.ncbi.nlm.nih.gov/pubmed/33353567
http://dx.doi.org/10.1186/s41182-020-00287-8
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