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BACKGROUND: Textile and garment factories are growing in low and middle-income countries as worldwide demand for inexpensive clothing increases each year. These integrated textile and garment production factories are often built-in areas with few workplaces and environmental regulations, and employees can be regularly exposed to workplace hazards with little regulatory oversight. Consequently, workers' health may be significantly affected due to long term exposure to hazards. This study describes registered health problems and their association to work-related and personal factors among workers in integrated textile factories in Ethiopia. METHODS: Institution-based cross-sectional study design was employed for this analysis. A one-year recording of worker's clinical diagnoses (between March 2016 and February 2017) was gathered from the factory clinics of three integrated textile factories. Clinical diagnosis data was obtained as factory workers visited the clinics if feeling unwell. Sociodemographic characteristics and work-related information were obtained from the factory's human resource departments. The sociodemographic and clinical diagnosis statuses of 7992 workers were analyzed. The association between the registered diagnoses and workplace factors (work in textile production, garment production and support process) and personal factors (age, sex and educational status) were studied using logistic regression analysis. RESULTS: The average employee age and years of service were 40 years and 11 years respectively. 60% of workers were females, comprising of 4778 women. 66% of all workers (5276) had 27,320 clinical diagnoses. In total, this caused 16,993 absent working days due to sick leave. Respiratory diseases (34%) and musculoskeletal disorders (29%) were the most prevalent diagnoses, while bodily injuries were the cause of most work absences. Work department, sex and educational status are variables that were most significantly associated with higher prevalence of disease groups. CONCLUSIONS: About two-thirds of the integrated textile factory workers were diagnosed with different types of disease. The textile and garment production department workers were affected at a greater rate than the support process workers, indicating that some diseases may be related to workplace exposure. Further study should investigate rare chronic diseases such as cancer, heart diseases, renal diseases and diabetes.
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Enfermedades Profesionales , Estudios Transversales , Etiopía/epidemiología , Femenino , Humanos , Enfermedades Profesionales/epidemiología , Prevalencia , TextilesRESUMEN
BACKGROUND: Wood dust in a form of inhalable particulates can penetrate the lung tissues and affect respiratory health. Woodwork factory workers are at a greater risk of developing respiratory health problems because of exposure in their working environment, but existing data were few. The aim of this study was to assess the prevalence of chronic respiratory symptoms, associated factors, and concentration of personal total wood dust level among medium-scale woodwork factory workers. METHODS: An institutional based cross-sectional study was conducted among 506 woodwork factory workers. We selected study participants using a simple random sampling technique. We assessed chronic respiratory symptoms using the British Medical Research Council respiratory symptoms questionnaire with a few modifications. A multivariate logistic regression model was used to identify the factors. Forty dust measurements were collected from 20 randomly selected workers using a closed-face cassette (CFC) personal sampler. We analyzed the dust samples gravimetrically using a standard microbalance scale. RESULTS: We recruited a random sample of 506 workers in the study with a response rate of 98%. The prevalence of chronic respiratory health symptoms among woodworkers was 69.8% with a prevalence of cough (54.6%), phlegm (52.2%), wheezing (44.6%), breathlessness (42.1%), and chest pain (42.9%). Past occupational dust exposure history (AOR = 2.09, 95% CI; 1.09-4.01), work experience > 5 years (AOR = 9.18, 95% CI; 5.27-16.00), using bio-fuel as energy for cooking (AOR = 2.42, 95% CI; 1.44-4.07), and having no occupational safety and health training (AOR = 3.38, 95% CI; 1.20-9.49) were factors that significantly associated with chronic respiratory symptoms among woodwork workers. The geometric mean (GM) of dust exposure level among woodworkers was 10.27 mg/m3, which exceeded the limit of 10 mg/m3 set by the ACGIH. CONCLUSIONS: High prevalence of chronic respiratory symptoms was reported from woodwork factory workers. Increased work- experience, using bio-fuel as an energy source for cooking, past occupational dust exposure history, and having no occupational safety and health training were identified risk factors. The measured average personal wood dust exposure level was above the recommended occupational threshold limit value. Therefore, workers' wood dust exposure reduction and control methods and respiratory health awareness programs should be implemented.
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Enfermedades Profesionales , Exposición Profesional , Estudios Transversales , Polvo/análisis , Etiopía , Humanos , Exposición Profesional/efectos adversosRESUMEN
Background: Computer vision syndrome (CVS) is the most pressing public health concern that affects vision and reduces quality of life and productivity, particularly in developing countries. Most of the previous studies conducted in Ethiopia focus on the knowledge and personal risk factors of bank workers. Moreover, ergonomic workstation design was not objectively assessed, which could hinder the implementation of effective intervention strategies. Therefore, this study aimed to determine CVS and ergonomic factors among commercial bank workers in Addis Ababa, Ethiopia. Methods: An institutional-based cross-sectional study was carried out among 466 study participants from May 26 to July 24, 2022. A multistage sampling technique was applied to select the study participants. Data were collected via a standardized tool of CVS (CVS-Q). Besides, workstation ergonomics were pertinently assessed. The collected data was entered into EpiData version 3.1 and exported to SPSS version 26 for data analysis and cleaning. Multivariable logistics regression analysis was performed to identify factors associated with CVS. The variables with a p-value < 0.05 were considered statistically significant factors. Results: Prevalence of CVS was 75.3% (95% CI: 71.2-79.2%). Blurred vision, eye redness, and headache, 59.8%, 53.7%, and 50.7%, respectively, were frequently reported symptoms. Glare (AOR = 4.45: 95% CI: 2.45-8.08), 20-20-20 principle (AOR = 1.98, 95% CI: 1.06-3.67), wearing non-prescription eyeglasses (AOR = 4.17; 95% CI: 1.92-9.06), and poor workstation (AOR = 7.39; 95% CI: 4.05-13.49) was significantly associated with CVS. Conclusion: The prevalence of CVS was found to be high. Glare at work, ignoring the 20-20-20 principle, wearing non-prescription eyeglasses, and poor workstation ergonomic design were independent predictors of CVS. Therefore, comprehensive interventional activities like adhering to the 20-20-20 principle, avoiding the use of non-prescription glasses, minimizing glare, and improving workstation ergonomic setup are essential to prevent CVS.
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Ergonomía , Trastornos de la Visión , Humanos , Etiopía/epidemiología , Estudios Transversales , Masculino , Adulto , Femenino , Factores de Riesgo , Prevalencia , Trastornos de la Visión/epidemiología , Persona de Mediana Edad , Encuestas y Cuestionarios , Cuenta Bancaria , Adulto Joven , Adolescente , Enfermedades Profesionales/epidemiología , Enfermedades Profesionales/prevención & controlRESUMEN
BACKGROUND: Occupational respiratory disorders are a major global public health concern among workers exposed to dust particles in dust-generating workplaces. Despite fragmented research findings on the magnitude of respiratory problems and the lack of a national occupational respiratory disease recording and reporting system at the Ethiopian factory, the prevalence of respiratory symptoms among factory workers were unknown. Therefore, the aim of this meta-analysis was to summarize and pool estimates from studies that reported the prevalence of respiratory symptoms and predictors among Ethiopian factory workers who worked in dusty environments. METHODS: A systematic literature searches were conducted using electronic databases (PubMed, Science Direct, African Journals Online, and Web of Science). The primary and secondary outcomes were prevalence of respiratory symptoms and predictors, respectively. The STATA version 17 was used to analyze the data. A random effect meta-analysis model was used. Eggers test with p-value less than 5%, as well as the funnel plot, were used to assess publication bias. RESULTS: The searches yielded 1596 articles, 15 of which were included in the systematic review and meta-analysis. The pooled prevalence of respiratory symptoms among Ethiopian factory workers was 54.96% [95% confidence interval (CI):49.33-60.59%]. Lack of occupational health and safety (OSH) training [Odds Ratio (OR) = 2.34, 95%CI:1.56-3.52], work experience of over 5 years [OR = 3.19, 95%CI: 1.33-7.65], not using personal protective equipment (PPE) [OR = 1.76, 95%CI:1.30-2.39], and working more than eight hours per day [OR = 1.89, 95%CI:1.16-3.05] were all significant predictors of respiratory symptoms. CONCLUSION: The prevalence of respiratory symptom was found to be high in Ethiopian factory workers. To prevent workers from being exposed to dust, regular provision and monitoring of PPE use, workers OSH training, and adequate ventilation in the workplace should be implemented.
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Enfermedades Pulmonares , Enfermedades Profesionales , Exposición Profesional , Humanos , Polvo , Exposición Profesional/efectos adversos , Enfermedades Pulmonares/epidemiología , Pulmón , Equipo de Protección Personal , Enfermedades Profesionales/epidemiología , Enfermedades Profesionales/etiologíaRESUMEN
Background: Construction is one of the highest risky jobs for accident-related fatalities and injuries globally. This systematic review and meta-analysis aimed to estimate the pooled prevalence of work-related injury and its associated factors among construction workers in Ethiopia. Methods: A systematic literature search was performed by using PubMed, Science Direct, and Google Scholar. A random-effects model was used to estimate the pooled prevalence of work-related injury and its associated factors. The heterogeneity of the studies was assessed by using the I 2 test, and the presence of publication bias was evaluated by using funnel plot and Egger's test. Results: After reviewing 292 articles, we included 10 studies that fulfilled the inclusion criteria in the meta-analysis. The findings from the 10 studies showed that the pooled prevalence of work-related injury in Ethiopia was 46.78% (95% CI: 32.17, 61.38). The subgroup analysis of this study showed that the highest prevalence was reported in Addis Ababa with the prevalence of 55.9% (25.42, 86.4), followed by a study conducted in Oromia Region with a prevalence of 43.3% (33.3, 53.3). Lack of occupational safety training (OR: 2.43, 95% CI: 1.76, 3.35), not using of personal protective equipment (OR: 2.32, 95% CI: 1.80, 2.99), and male workers (OR: 2.44, 95% CI: 1.15, 5.17) were the major factors significantly associated with the occurrence of work-related injury among construction workers. Conclusions: This study confirmed that construction is still a high-risk job with a high prevalence of work-related injury in Ethiopia. The modifiable risk factors such as the use of personal protective equipment (PPE), lack of safety training, and gender were the major associated factors with injury. Therefore, a continuous safety training and awareness creation program on risk-taking behavior should be given to construction workers.