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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 I2 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.

A cross-sectional study was carried out to determine the prevalence and the factors associated with low back pain (LBP) among 814 young workers ranging from 14 to 17 years of age engaged in the inf...

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.

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.

Chronic respiratory symptoms and reduction in lung function has been described as a common health problem among textile workers in low- and middle-income countries. The objective of this study was to measure lung function and respiratory symptoms among workers from an integrated textile factory. A comparative cross-sectional study design with a cross-shift lung function measurement was performed in 306 cotton dust exposed workers from an integrated textile factory and 156 control workers from a water bottling factory. An integrated textile factory typically has four main production departments (spinning, weaving, finishing, and garment) that process raw cotton and manufacture clothes or fabrics. Respiratory symptoms were assessed by adopting the standard American Thoracic Society questionnaire. Descriptive statistics and logistic and linear regression analysis were used. The prevalence of respiratory symptoms was significantly higher among textile workers (54%) than in controls (28%). Chronic cough, chest tightness, and breathlessness were significantly higher among textile workers (23%, 33%, and 37%, respectively) than in the control group (5%, 17% and 6%, respectively). Breathlessness was the most prevalent chronic respiratory symptom with highest adjusted odds ratio 9.4 (95% CI 4.4&ndash, 20.3). A significantly higher cross-shift lung function reduction was observed among textile workers (123 mL for FEV1 and 129 mL for FVC) compared with the control group (14 mL for FEV1 and 12 mL for FVC). Thus, workers&rsquo, respiratory health protection programs should be strengthened in textile factories.

Background: Low back pain prevalence is somewhat higher in the wealthier countries (42% vs. 35%). But, the epidemiological information regarding the prevalence and associated risk factors of low back pain among universities, colleges and school teachers in Ethiopia are unknown. Thus the aim of this study is to investigate the prevalence and associated risk factors of low back pain among universities, colleges and school teachers in Ethiopia, particularly in Gondar town. Methods: To assess prevalence of low back pain and associated factors among primary and secondary school, and higher institution (college and university) teachers in Gondar town, an institution based cross-sectional quantitative study was conducted. A total of 662 teachers were included in the study. Teachers in the town were selected by stratified random sampling from their institutions in which they work. Both bivariate and multivariate logistic regression techniques were used to identify factors associated with low back pain. Results: Of 602 teachers, 346 (57.5%) experienced low back pain (LBP) throughout their job career. The twelve month prevalence of LBP among teachers was 324 (53.8%). Doing regular physical exercise [AOR=0.52, 95%CI: 0.34, 0.82], provisions of office at working institution [AOR=0.52, 95%CI: 0.33, 0.81] and satisfaction with working environment and culture [AOR=0.55, 95%CI: 0.36, 0.86] were among factors significantly associated with low back pain. Conclusion: This study showed high prevalence of low back pain among teachers. Doing regular physical exercise, provisions of office at working institution and satisfaction with working environment and culture, were among the most contributing factors in reducing low back pain. Therefore, doing regular physical activity, avoiding their smoking habit, Getting enough time for sleep and avoiding worries reduces the risk of low back pain among teachers.