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Prevalence of heavy episodic drinking and associated factors among adults residing in Arba Minch health and demographic surveillance site: a cross sectional study

BACKGROUND: Alcohol consumption is associated with different types of illnesses; particularly heavy episodic drinking is one of the risk factors for the disease burden of alcohol intake. The aim of the study was to assess the prevalence of heavy episodic drinking and associated factors in Arba Minch...

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Autores principales: Gutema, Befikadu Tariku, Chuka, Adefris, Ayele, Gistane, Tariku, Eshetu Zerhun, Aschalew, Zeleke, Baharu, Alazar, Degefa, Nega, Gurara, Mekdes Kondale
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7727140/
https://www.ncbi.nlm.nih.gov/pubmed/33298022
http://dx.doi.org/10.1186/s12889-020-09998-3
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author Gutema, Befikadu Tariku
Chuka, Adefris
Ayele, Gistane
Tariku, Eshetu Zerhun
Aschalew, Zeleke
Baharu, Alazar
Degefa, Nega
Gurara, Mekdes Kondale
author_facet Gutema, Befikadu Tariku
Chuka, Adefris
Ayele, Gistane
Tariku, Eshetu Zerhun
Aschalew, Zeleke
Baharu, Alazar
Degefa, Nega
Gurara, Mekdes Kondale
author_sort Gutema, Befikadu Tariku
collection PubMed
description BACKGROUND: Alcohol consumption is associated with different types of illnesses; particularly heavy episodic drinking is one of the risk factors for the disease burden of alcohol intake. The aim of the study was to assess the prevalence of heavy episodic drinking and associated factors in Arba Minch Health and Demographic Surveillance Site (HDSS). METHODS: A community-based cross-sectional study was conducted in 2017 among adult residents of Arba Minch HDSS. Using Arba Minch HDSS database, 3368 individuals were selected by simple random sampling techniques. From WHO STEPS instruments, step one was applied for this study. Variables with a p-value of less than 0.10 for bivariate analysis entered into a multivariable logistic regression model to outline the independent predictors of the heavy episodic drinking. To assess the presence of an association between dependent and independent variables, a p-value of less than 0.05 was considered. RESULTS: The prevalence of heavy episodic drinking was 13.7% (95% CI: 12.6–14.9). The study has shown that heavy episodic drinking was significantly associated with occupation (daily laborer [AOR = 0.49; 95% C.I: 0.29–0.85] and housewives [AOR = 0.63; 95% C.I: 0.45–0.88] compared with farmers), wealth index (2nd quintiles [AOR =0.55; 95% C.I: 0.41–0.74) and 3rd quintiles [AOR = 0.66; 95% C.I: 0.46–0.93] compared with 1st quintiles), and climatic zone (midland [AOR = 1.80;95% CI: 1.11–2.93), highland [AOR = 1.95;95% CI: 1.19–3.18] compared with lowland). In addition, tobacco use [AOR = 4.28;95% CI: 3.38–5.43], and khat use [AOR = 4.75; 95% CI: 2.66–8.50) were also associated with heavy episodic drinking among the study participants. CONCLUSIONS: More than one in ten adults reported heavy episodic drinking in the study area. Intervention programs that aim to prevent heavy episodic drinking should be designed appropriately for individuals from lower wealth status, and for highlander.
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spelling pubmed-77271402020-12-10 Prevalence of heavy episodic drinking and associated factors among adults residing in Arba Minch health and demographic surveillance site: a cross sectional study Gutema, Befikadu Tariku Chuka, Adefris Ayele, Gistane Tariku, Eshetu Zerhun Aschalew, Zeleke Baharu, Alazar Degefa, Nega Gurara, Mekdes Kondale BMC Public Health Research Article BACKGROUND: Alcohol consumption is associated with different types of illnesses; particularly heavy episodic drinking is one of the risk factors for the disease burden of alcohol intake. The aim of the study was to assess the prevalence of heavy episodic drinking and associated factors in Arba Minch Health and Demographic Surveillance Site (HDSS). METHODS: A community-based cross-sectional study was conducted in 2017 among adult residents of Arba Minch HDSS. Using Arba Minch HDSS database, 3368 individuals were selected by simple random sampling techniques. From WHO STEPS instruments, step one was applied for this study. Variables with a p-value of less than 0.10 for bivariate analysis entered into a multivariable logistic regression model to outline the independent predictors of the heavy episodic drinking. To assess the presence of an association between dependent and independent variables, a p-value of less than 0.05 was considered. RESULTS: The prevalence of heavy episodic drinking was 13.7% (95% CI: 12.6–14.9). The study has shown that heavy episodic drinking was significantly associated with occupation (daily laborer [AOR = 0.49; 95% C.I: 0.29–0.85] and housewives [AOR = 0.63; 95% C.I: 0.45–0.88] compared with farmers), wealth index (2nd quintiles [AOR =0.55; 95% C.I: 0.41–0.74) and 3rd quintiles [AOR = 0.66; 95% C.I: 0.46–0.93] compared with 1st quintiles), and climatic zone (midland [AOR = 1.80;95% CI: 1.11–2.93), highland [AOR = 1.95;95% CI: 1.19–3.18] compared with lowland). In addition, tobacco use [AOR = 4.28;95% CI: 3.38–5.43], and khat use [AOR = 4.75; 95% CI: 2.66–8.50) were also associated with heavy episodic drinking among the study participants. CONCLUSIONS: More than one in ten adults reported heavy episodic drinking in the study area. Intervention programs that aim to prevent heavy episodic drinking should be designed appropriately for individuals from lower wealth status, and for highlander. BioMed Central 2020-12-09 /pmc/articles/PMC7727140/ /pubmed/33298022 http://dx.doi.org/10.1186/s12889-020-09998-3 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/. 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 in a credit line to the data.
spellingShingle Research Article
Gutema, Befikadu Tariku
Chuka, Adefris
Ayele, Gistane
Tariku, Eshetu Zerhun
Aschalew, Zeleke
Baharu, Alazar
Degefa, Nega
Gurara, Mekdes Kondale
Prevalence of heavy episodic drinking and associated factors among adults residing in Arba Minch health and demographic surveillance site: a cross sectional study
title Prevalence of heavy episodic drinking and associated factors among adults residing in Arba Minch health and demographic surveillance site: a cross sectional study
title_full Prevalence of heavy episodic drinking and associated factors among adults residing in Arba Minch health and demographic surveillance site: a cross sectional study
title_fullStr Prevalence of heavy episodic drinking and associated factors among adults residing in Arba Minch health and demographic surveillance site: a cross sectional study
title_full_unstemmed Prevalence of heavy episodic drinking and associated factors among adults residing in Arba Minch health and demographic surveillance site: a cross sectional study
title_short Prevalence of heavy episodic drinking and associated factors among adults residing in Arba Minch health and demographic surveillance site: a cross sectional study
title_sort prevalence of heavy episodic drinking and associated factors among adults residing in arba minch health and demographic surveillance site: a cross sectional study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7727140/
https://www.ncbi.nlm.nih.gov/pubmed/33298022
http://dx.doi.org/10.1186/s12889-020-09998-3
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