Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/139701
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Type: Journal article
Title: Socio-demographic correlates of unhealthy lifestyle in Ethiopia: a secondary analysis of a national survey
Author: Gelaw, Y.A.
Koye, D.N.
Alene, K.A.
Ahmed, K.Y.
Assefa, Y.
Erku, D.A.
Tegegn, H.G.
Tesema, A.G.
Zeleke, B.M.
Melaku, Y.A.
Citation: BMC Public Health, 2023; 23(1):1528-1-1528-11
Publisher: BMC
Issue Date: 2023
ISSN: 1471-2458
1471-2458
Statement of
Responsibility: 
Yalemzewod Assefa Gelaw, Digsu N. Koye, Kefyalew Addis Alene, Kedir Y. Ahmed, Yibeltal Assefa, Daniel Asfaw Erku, Henok Getachew Tegegn, Azeb Gebresilassie Tesema, Berihun Megabiaw Zeleke, and Yohannes Adama Melaku
Abstract: Background: Multiple lifestyle risk factors exhibit a stronger association with non-communicable diseases (NCDs) compared to a single factor, emphasizing the necessity of considering them collectively. By integrating these major lifestyle risk factors, we can identify individuals with an overall unhealthy lifestyle, which facilitates the provision of targeted interventions for those at signifcant risk of NCDs. The aim of this study was to evaluate the socio-demographic correlates of unhealthy lifestyles among adolescents and adults in Ethiopia. Methods: A national cross-sectional survey, based on the World Health Organization’s NCD STEPS instruments, was conducted in Ethiopia. The survey, carried out in 2015, involved a total of 9,800 participants aged between 15 and 69 years. Lifestyle health scores, ranging from 0 (most healthy) to 5 (most unhealthy), were derived considering factors such as daily fruit and vegetable consumption, smoking status, prevalence of overweight/obesity, alcohol intake, and levels of physical activity. An unhealthy lifestyle was defned as the co-occurrence of three or more unhealthy behaviors. To determine the association of socio-demographic factors with unhealthy lifestyles, multivariable logistic regression models were utilized, adjusting for metabolic factors, specifcally diabetes and high blood pressure. Results: Approximately one in eight participants (16.7%) exhibited three or more unhealthy lifestyle behaviors, which included low fruit/vegetable consumption (98.2%), tobacco use (5.4%), excessive alcohol intake (15%), inadequate physical activity (66%), and obesity (2.3%). Factors such as male sex, urban residency, older age, being married or in a common-law relationship, and a higher income were associated with these unhealthy lifestyles. On the other hand, a higher educational status was associated with lower odds of these behaviors. Conclusion: In our analysis, we observed a higher prevalence of concurrent unhealthy lifestyles. Socio-demographic characteristics, such as sex, age, marital status, residence, income, and education, were found to correlate with individuals’ lifestyles. Consequently, tailored interventions are imperative to mitigate the burden of unhealthy lifestyles in Ethiopia.
Keywords: Socio-demographic
Lifestyle
NCDs
STEPS
Ethiopia
Rights: © The Author(s) 2023. Open Access This 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.
DOI: 10.1186/s12889-023-16436-7
Published version: http://dx.doi.org/10.1186/s12889-023-16436-7
Appears in Collections:Public Health publications

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