Dataset Information

Occupational exposure to dust and respiratory symptoms among Ethiopian factory workers: A systematic review and meta-analysis.

ABSTRACT:

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.

SUBMITTER: Ashuro Z

PROVIDER: S-EPMC10361507 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Occupational exposure to dust and respiratory symptoms among Ethiopian factory workers: A systematic review and meta-analysis.

Ashuro Zemachu Z Hareru Habtamu Endashaw HE Soboksa Negasa Eshete NE Abaya Samson Wakuma SW Zele Yifokire Tefera YT

PloS one 20230721 7

<h4>Background</h4>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 po ...[more]

PMID: 37478114

Similar Datasets

Project description:BackgroundWorkers in pulp and paper factories are continuously exposed to paper dust. Excessive exposure to paper dust can cause respiratory disease. Information about the prevalence of chronic respiratory symptoms and dust exposure levels among workers in pulp and paper factories is not available in Ethiopia. The aim of this study was, therefore, to assess personal total dust exposure levels, the prevalence of chronic respiratory symptoms and their associated risk factors among workers in Ethiopian pulp and paper factories.MethodsA comparative cross-sectional study was conducted. A total of 40 dust measurements were carried out on 20 randomly selected workers. To assess chronic respiratory symptoms and associated factors, 434 workers from two paper factories and controls were interviewed using a standard questionnaire adapted from the American Thoracic Society (ATS). Gravimetric analyses of the filters were undertaken using a standard microbalance. Poisson regression was performed for comparing the prevalence of symptoms and risk factors for the two groups. Multivariable analyses were conducted to identify factors associated with chronic respiratory symptoms.ResultThe arithmetic mean (AM) and geometric mean (GM) of dust exposure levels among the paper factories workers were 11.3 (± 7.7) and 10.2 (± 1.4) mg/m3 respectively. This exposure level exceeded the threshold limit value recommended for total dust (10 mg/m3). The prevalence of having at least one chronic respiratory symptom was about 51% among the workers in paper factories. The prevalence ratio of having chronic respiratory symptoms among paper factory workers was 5.6 times higher (PR = 6, 95% CI 3.5-10.3) than in the controls. Chronic respiratory symptoms were significantly associated with factors such as an educational status of less than grade 9, being employed in the work sections of the factories, having work experience of 5 years and above, working more than 8 h per day and having a past history of occupation and respiratory illnesses.ConclusionThe dust concentration in the paper factories exceeded the acceptable recommended limit value of 10 mg/m3. The prevalence of chronic respiratory symptoms among paper factory workers was higher than among controls. The main determining factors for chronic respiratory symptoms among the workers were the specific work section such as production section, low income, having past history of respiratory illnesses, the number of years of working and low educational status. This finding indicated the need for improving the working conditions in paper factories in Ethiopia.

Project description:Dust and fumes are complex mixtures of airborne gases and fine particles present in all environments inhabited by people. This study investigated the relationship between occupational dust exposure levels and mental health problems such as depression or anxiety, fatigue, and insomnia or sleep disturbance. We analyzed data from the third and fourth Korean Working Conditions Survey (KWCS) conducted by the Korea Occupational Safety and Health Agency in 2011 and 2014. We performed chi-square tests to compare the different baseline and occupational characteristics and mental health status according to occupational dust exposure levels. The odds ratio (OR) and 95% confidence intervals (95% CIs) for mental health symptoms (fatigue, depression or anxiety, and insomnia or sleep disturbance) were calculated using adjusted multiple logistic regression models. A total of 78,512 participants (43,979 in men, 34,533 in women) were included in this study. Among them, 6,013 (7.7%) and 2,625 (3.3%) reported "moderate" and "severe" dust exposure, respectively. Among those who answered "yes" to depression or anxiety, fatigue, insomnia or sleep disturbance, 50 (4.6%), 961 (4.8%), and 123 (5.9%), respectively, demonstrated "severe" occupational dust exposure. Compared to "low" levels of dust exposure, "moderate" and "severe" exposure increased the risk of depression and anxiety (OR = 1.09, 95%CI: 0.88-1.36; OR = 1.16, 95%CI: 0.87-1.58, per exposure respectively); however, this was not statistically significant. For fatigue, significance was observed for "moderate" 1.54 (1.46-1.64) and "severe" 1.65 (1.52-1.80) exposure levels. "Severe" levels increased the risk of insomnia or sleep disturbance (OR = 1.52, 95%CI: 1.25-1.85). These results suggest that the "dust annoyance" concept of mental health, which may be explained by a neurocognitive mechanism, is plausible. Occupational "dust annoyance" has been linked to workers' mental health status, particularly in terms of fatigue and sleep disturbance; a dose-response relationship has been observed. Workers should be protected against dust to support their health and productivity.

Project description:BackgroundOccupational respiratory diseases are major global public health problems, particularly for industry workers. Several studies have investigated occupational respiratory symptoms in various parts of Ethiopia. The findings have been inconsistent and inconclusive, and there is no nationally representative data on the subject. Therefore, this study aimed to estimate the pooled prevalence and factors associated with occupational respiratory symptoms among industry workers in Ethiopia (2010-2022).MethodsFollowing the Preferred Reporting Items for Systematic Reviews and Meta-Analysis framework Guidelines, search was conducted on several international databases including PubMed, CINAHL, African Journals Online, Hinari, Global Health, and Google scholar. The extracted data was analyzed using STATA 14. Random effect model was used to estimate the effect size. Egger regression test and I2 statistics were used to determine potential publication bias and heterogeneity, respectively among the reviewed articles.ResultsThe meta-analysis included a total of 15 studies with 5,135 participants, revealing a pooled prevalence of 51.6% (95% CI: 43.6-59.6) for occupational respiratory symptoms among industry workers in Ethiopia. The absence of personal protective equipment (OR = 1.97, 95% CI: [1.17-3.32]), lack of occupational health and safety training (OR = 3.04, 95% CI: [2.36-3.93]), previous dust exposure (OR = 3.17, 95% CI: [2.3-4.37]), poor working environment (OR = 2.4, 95% CI: [1.7-3.2]), work experience greater than five years (OR = 4.04, 95% CI: [1.61-10.16]), smoking (OR = 6.91, 95% CI: [2.94-16.2]), and previous respiratory illness (OR = 4.25, 95% CI: [2.44-7.42]) were found to associate with the symptoms.ConclusionsThe high prevalence of occupational respiratory symptoms among industry workers in Ethiopia underscores the urgent need for effective interventions. The provision of personal protective equipment and improvement of working environments by the government, industry owners, and other stakeholders are crucial in reducing occupational respiratory symptoms. Additionally, prioritizing occupational health and safety training for industry workers can help prevent and mitigate the impact of occupational respiratory diseases.RegistrationThis systematic review has been registered in the International Prospective Registry of Systematic Review (PROSPERO) with a specific registration number CRD42022383745.

Project description:IntroductionInadequate ventilation and improper use of personal protective equipment are often observed in many occupational settings with a high risk of dust and other fine particle exposure. Workers who are exposed to dust at work may suffer from respiratory difficulties. Previous systematic reviews on organic dust exposure and its association with respiratory health outcomes did not provide a comprehensive assessment. Therefore, the objective of this systematic review and meta-analysis was to summarize the reported effects of organic dust exposure on lung function parameters among African industrial workers.MethodsA compressive literature search was conducted in PubMed, MEDLINE, Google Scholar, Embase, the Web of Science, African Journals Online, and ScienceDirect databases to identify relevant studies for the review. The Newcastle-Ottawa Scale (NOS) was used to assess the quality of the included studies. The lung function indices including forced vital capacity (FVC), forced expiratory volume in the first second (FEV1), the FEV1/FVC ratio, and peak expiratory flow rate (PEFR) were obtained from primary studies and analyzed using STATA version 17. The I 2 test was used to assess the heterogeneity of studies. We used a random-effects model to estimate the pooled standard mean difference in lung function indices between organic dust-exposed and non-exposed industrial workers. To analyze publication bias, funnel plots and Egger's test were applied.ResultsIn this systematic review and meta-analysis, 32 studies involving 7,085 participants were included from 13,529 identified studies. The estimated mean differences with 95% confidence intervals were as follows: -0.53 [-0.83 to -0.36] L for FVC, -0.60 [-0.77 to -0.43] L for FEV1, -0.43 [-0.57, -0.29] L for FEV1/FVC, and -0.69 [-0.88 to -0.50] L/min for PEFR.ConclusionThis systematic review and meta-analysis revealed that the lung function indices, such as FVC, FEV1, FEV1/FVC, and PEFR, were statistically significantly lower among organic dust-exposed industrial workers compared to non-exposed industrial workers. Therefore, effective dust control measures should be implemented to protect workers from exposure to organic dust.Systematic review registrationhttps://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42024527139.

Project description:Background:Machines, processes, and tasks in the iron and steel factories may produce noise levels that are harmful to hearing if not properly controlled. Studies documenting noise exposure levels and related determinants in sub-Saharan Africa, including Tanzania are lacking. The aim of this study was to document noise exposure and to identify determinants of noise exposure with a view to establishing an effective hearing conservation programme. Methods:A walk-through survey was conducted to describe the working environment in terms of noise sources in four metal factories (A-D) in Tanzania. Noise measurements were conducted by both personal, full-shift noise measurements (8 h) using dosimeters and area measurements (10-s measurements) using a sound level meter. A total of 163 participants had repeated personal noise measurements (Factory A: 46 participants, B: 43, C: 34, and D: 40). Workers were randomly selected and categorized into 13 exposure groups according to their job. Linear mixed effects models were used to identify significant determinants of noise exposure in the furnace section and the rolling mill section. Results:The average personal noise exposure in the four factories was 92.0 dB(A) (range of job group means; 85.4-96.2 dB(A)) (n = 326). Personal exposure was significantly higher in the rolling mill section (93.0 dB(A)) than in the furnace section (89.6 dB(A)). Among the job groups, the cutters located in the rolling mill section had the highest noise exposure (96.2 dB(A)). In the furnace section, furnace installation (below the ground floor), manual handling of raw materials/billets/crowbars, and billet weighing/transfer were significant determinants explaining 40% of the total variance in personal noise exposure. In the rolling mill section, the size of the cutting machine, steel billet weight and feeding re-heating furnace explained 46% of the total variance in personal noise exposure. The mean noise level of the area measurements was 90.5 dB(A) (n = 376). Conclusion:Workers in the four iron and steel factories in Tanzania were exposed to average noise of 92.0 dB(A), without using hearing protection, implying a high risk of developing hearing loss. Task and factory level determinants were identified in the furnace and the rolling mill sections of the plant, which can inform noise control in factories with similar characteristics.

Dataset Information

Occupational exposure to dust and respiratory symptoms among Ethiopian factory workers: A systematic review and meta-analysis.

Background

Methods

Results

Conclusion

Publications

Occupational exposure to dust and respiratory symptoms among Ethiopian factory workers: A systematic review and meta-analysis.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets