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Poor sleep quality and associated determinants among textile and garment manufacturing workers in Addis Ababa, Ethiopia

BACKGROUND: Sleep is a physiological process that is essential to human physical, emotional, and mental health. Sleep difficulties affect an estimated 150 million individuals globally, with roughly 17% of the population in developing countries. As a result, the purpose of this study was to determine...

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Detalles Bibliográficos
Autores principales: Getahun, Genanew Kassie, Genene, Adisu, Tadesse, Trhas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10220473/
https://www.ncbi.nlm.nih.gov/pubmed/37249945
http://dx.doi.org/10.1016/j.sleepx.2023.100075
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author Getahun, Genanew Kassie
Genene, Adisu
Tadesse, Trhas
author_facet Getahun, Genanew Kassie
Genene, Adisu
Tadesse, Trhas
author_sort Getahun, Genanew Kassie
collection PubMed
description BACKGROUND: Sleep is a physiological process that is essential to human physical, emotional, and mental health. Sleep difficulties affect an estimated 150 million individuals globally, with roughly 17% of the population in developing countries. As a result, the purpose of this study was to determine the prevalence and associated factors of poor sleep quality among textile and garment manufacturing workers in Addis Ababa, Ethiopia, in 2022. METHODS: A facility-based cross-sectional study was done from July 15th to August 15th, 2022, using a simple random sample technique. The degree of self-reported poor sleep quality was quantified using a validated, interviewer-administered, standardized Pittsburgh Sleep Quality Index. To determine the relationship between independent variables and poor sleep quality, multivariable logistic regression analysis was carried out with a p-value of less than 0.05 and a 95% confidence interval (CI). RESULTS: The prevalence of poor sleep quality was 75.4% (95% CI: 70.8, 80). Working more than 8 h per day (AOR = 2.83, 95% CI: 1.01, 7.94), work dissatisfaction (AOR = 3.27, 95% CI: 1.52–7.05), and using electronic materials before sleeping (AOR = 2.08, 95% CI: 1.01–4.30) were all associated with poor sleep quality. CONCLUSION: Poor sleep quality was common among garment and textile industrial workers. Work dissatisfaction, working hours, and the utilization of electronic materials before bedtime were all substantially related to poor sleep quality, which should be taken into account and addressed early to reduce poor sleep quality.
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spelling pubmed-102204732023-05-28 Poor sleep quality and associated determinants among textile and garment manufacturing workers in Addis Ababa, Ethiopia Getahun, Genanew Kassie Genene, Adisu Tadesse, Trhas Sleep Med X Article BACKGROUND: Sleep is a physiological process that is essential to human physical, emotional, and mental health. Sleep difficulties affect an estimated 150 million individuals globally, with roughly 17% of the population in developing countries. As a result, the purpose of this study was to determine the prevalence and associated factors of poor sleep quality among textile and garment manufacturing workers in Addis Ababa, Ethiopia, in 2022. METHODS: A facility-based cross-sectional study was done from July 15th to August 15th, 2022, using a simple random sample technique. The degree of self-reported poor sleep quality was quantified using a validated, interviewer-administered, standardized Pittsburgh Sleep Quality Index. To determine the relationship between independent variables and poor sleep quality, multivariable logistic regression analysis was carried out with a p-value of less than 0.05 and a 95% confidence interval (CI). RESULTS: The prevalence of poor sleep quality was 75.4% (95% CI: 70.8, 80). Working more than 8 h per day (AOR = 2.83, 95% CI: 1.01, 7.94), work dissatisfaction (AOR = 3.27, 95% CI: 1.52–7.05), and using electronic materials before sleeping (AOR = 2.08, 95% CI: 1.01–4.30) were all associated with poor sleep quality. CONCLUSION: Poor sleep quality was common among garment and textile industrial workers. Work dissatisfaction, working hours, and the utilization of electronic materials before bedtime were all substantially related to poor sleep quality, which should be taken into account and addressed early to reduce poor sleep quality. Elsevier 2023-05-18 /pmc/articles/PMC10220473/ /pubmed/37249945 http://dx.doi.org/10.1016/j.sleepx.2023.100075 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Getahun, Genanew Kassie
Genene, Adisu
Tadesse, Trhas
Poor sleep quality and associated determinants among textile and garment manufacturing workers in Addis Ababa, Ethiopia
title Poor sleep quality and associated determinants among textile and garment manufacturing workers in Addis Ababa, Ethiopia
title_full Poor sleep quality and associated determinants among textile and garment manufacturing workers in Addis Ababa, Ethiopia
title_fullStr Poor sleep quality and associated determinants among textile and garment manufacturing workers in Addis Ababa, Ethiopia
title_full_unstemmed Poor sleep quality and associated determinants among textile and garment manufacturing workers in Addis Ababa, Ethiopia
title_short Poor sleep quality and associated determinants among textile and garment manufacturing workers in Addis Ababa, Ethiopia
title_sort poor sleep quality and associated determinants among textile and garment manufacturing workers in addis ababa, ethiopia
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10220473/
https://www.ncbi.nlm.nih.gov/pubmed/37249945
http://dx.doi.org/10.1016/j.sleepx.2023.100075
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