Prevalence of occupational injuries and associated factors among workers of textile and garment factories during the era of COVID‐19 pandemic in mekelle city, Northern Ethiopia: A cross‐sectional study

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Main Authors: Efoita Weldearegay, Gebru Hailu Redae, Akeza Awealom Asgedom
Format: Artículo Open Access
Published: Wiley 2024
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author Efoita Weldearegay
Gebru Hailu Redae
Akeza Awealom Asgedom
author_facet Efoita Weldearegay
Gebru Hailu Redae
Akeza Awealom Asgedom
Efoita Weldearegay
Gebru Hailu Redae
Akeza Awealom Asgedom
collection Wiley Open Access
contents Prevalence of occupational injuries and associated factors among workers of textile and garment factories during the era of COVID‐19 pandemic in mekelle city, Northern Ethiopia: A cross‐sectional study Efoita Weldearegay Gebru Hailu Redae Akeza Awealom Asgedom Health Science Reports AbstractBackground and AimOccupational injury is any personal injury that can lead to disease, disability, or death due to accidents sustained by workers while performing their work. The present study aimed to determine the prevalence of occupational injuries and associated factors among workers of textile and garment factories in Mekelle City, Northern Ethiopia during the era of COVID‐19.MethodsA cross‐ectional study was conducted among 348 Textile and Garment factories in Mekelle City, Northern Ethiopia on September and October 2020. Data were collected using a semi‐structured face‐to‐face interview questionnaire by trained data collectors and supervisors. Occupational injury was assessed by a yes/no question “Have you had any injury related to your occupation in the last 12 months?.” Epi Data version 3.1 was used to enter data and Statistical Package for Social Sciences (SPSS) version 23 was used for data analysis. A multivariable logistic regression model was used to determine the independent determinants of occupational injury, and variables with p < 0.05 were considered as statistically significant.ResultsThe annual prevalence rate of occupational injury among textile and garment factories was 27.8% (95% confidence interval [CI] = 23.2−32.9%). Factors like being a male (AOR = 3.65; 95% CI = 1.92−6.92), job satisfaction (AOR = 0.22; 95% CI = 0.11−0.43), sleeping disorder (AOR = 3.47; 95% CI = 1.91−6.32), job stress (AOR = 2.62; 95% CI = 1.44−4.73), and safety and health training (AOR = 0.40; 95% CI = 0.22−0.74) were significantly associated with the occurrence of occupational injury.ConclusionExpectedly, lockdown during COVID‐19 could lead to absenteeism and reduced prevalence of occupational injuries as the outcome of this study. 10.1002/hsr2.1921 http://creativecommons.org/licenses/by-nc-nd/4.0/
doi_str_mv 10.1002/hsr2.1921
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spellingShingle Prevalence of occupational injuries and associated factors among workers of textile and garment factories during the era of COVID‐19 pandemic in mekelle city, Northern Ethiopia: A cross‐sectional study
Efoita Weldearegay
Gebru Hailu Redae
Akeza Awealom Asgedom
Health Science Reports
Prevalence of occupational injuries and associated factors among workers of textile and garment factories during the era of COVID‐19 pandemic in mekelle city, Northern Ethiopia: A cross‐sectional study Efoita Weldearegay Gebru Hailu Redae Akeza Awealom Asgedom Health Science Reports AbstractBackground and AimOccupational injury is any personal injury that can lead to disease, disability, or death due to accidents sustained by workers while performing their work. The present study aimed to determine the prevalence of occupational injuries and associated factors among workers of textile and garment factories in Mekelle City, Northern Ethiopia during the era of COVID‐19.MethodsA cross‐ectional study was conducted among 348 Textile and Garment factories in Mekelle City, Northern Ethiopia on September and October 2020. Data were collected using a semi‐structured face‐to‐face interview questionnaire by trained data collectors and supervisors. Occupational injury was assessed by a yes/no question “Have you had any injury related to your occupation in the last 12 months?.” Epi Data version 3.1 was used to enter data and Statistical Package for Social Sciences (SPSS) version 23 was used for data analysis. A multivariable logistic regression model was used to determine the independent determinants of occupational injury, and variables with p < 0.05 were considered as statistically significant.ResultsThe annual prevalence rate of occupational injury among textile and garment factories was 27.8% (95% confidence interval [CI] = 23.2−32.9%). Factors like being a male (AOR = 3.65; 95% CI = 1.92−6.92), job satisfaction (AOR = 0.22; 95% CI = 0.11−0.43), sleeping disorder (AOR = 3.47; 95% CI = 1.91−6.32), job stress (AOR = 2.62; 95% CI = 1.44−4.73), and safety and health training (AOR = 0.40; 95% CI = 0.22−0.74) were significantly associated with the occurrence of occupational injury.ConclusionExpectedly, lockdown during COVID‐19 could lead to absenteeism and reduced prevalence of occupational injuries as the outcome of this study. 10.1002/hsr2.1921 http://creativecommons.org/licenses/by-nc-nd/4.0/
title Prevalence of occupational injuries and associated factors among workers of textile and garment factories during the era of COVID‐19 pandemic in mekelle city, Northern Ethiopia: A cross‐sectional study
topic Health Science Reports
url https://onlinelibrary.wiley.com/doi/10.1002/hsr2.1921