Next Article in Journal
Bidirectional Association between Psoriasis and Asthma: A Systematic Review and Meta-Analysis
Previous Article in Journal
Invasive Mechanical Ventilation and Death Was More Likely in Patients with Lower LDL Cholesterol Levels during COVID-19 Hospitalization: A Retrospective Propensity-Matched Cohort Study
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Dust Exposure and Respiratory Health among Selected Factories in Ethiopia: Existing Evidence, Current Gaps and Future Directions

by
Akeza Awealom Asgedom
Department of Environmental Health and Behavioral Sciences, School of Public Health, College of Health Sciences, Mekelle University, Mekelle P.O. Box 1871, Ethiopia
J. Respir. 2023, 3(2), 49-59; https://doi.org/10.3390/jor3020006
Submission received: 20 March 2023 / Revised: 26 April 2023 / Accepted: 2 May 2023 / Published: 4 May 2023

Abstract

:
Workers who are working in dusty environments might be associated with respiratory health problems. In Ethiopia, factories processing wood, textile, coffee, flour, cement and other materials are associated with dust emission. Furthermore, despite the adoption of the International Labor Organization (ILO) convention, the available constitution and labor proclamation, there are a lot of gaps in terms of occupational health and safety measures in Ethiopia. The current review aims to examine the existing evidence, current challenges and future direction regarding dust exposure and respiratory health in selected Ethiopian factories. Searches of peer-reviewed articles with full-length papers were made in online databases such as PubMed, Web of Science, MEDLINE, EMBASE and Google Scholar with a key words “Dust exposure”, “Respiratory health”, “Respiratory symptom”, “Ethiopia” and “Factory workers” from January 2000 to March 2023. The review found that excessive dust exposure is associated with a high prevalence of respiratory health problems. Lack of personal protective equipment and absence of safety and health training were the main occupational health deficits identified in most factories. Actions that focus on these deficiencies are commendable. Interventions focused on safety and health trainings, and the provision of adequate personal protective equipment of the required quality is recommended. In addition, administrative solutions and longitudinal studies on dust exposure and respiratory health are suggested.

1. Introduction

Globally, around 12.6 million people die as a result of living or working in an unhealthy environment, accounting for 25% of all total global deaths [1]. Outdoor air pollution caused 4.2 million premature deaths worldwide per year in 2019 as a result of exposure to fine particulate matter [2].
Occupational exposure to dust is significantly associated with respiratory health problems [3]. Duration of exposure usually determines the likelihood of the outcome. Dust exposure even below the recommended exposure limit results in respiratory health complaints [4,5].
Respiratory diseases can cause suffering for workers and their families and can be costly for the employer as a result of increased absenteeism, reducing productivity of the factory and associated medical costs for the sick workers. Occupational exposure is a potential cause of almost all respiratory diseases, but the majority of occupational-related respiratory health problems are often under-reported, and recognition of occupation-related respiratory-health problems can be increased by expanding their epidemiology through comprehensive research [6].
The economic cost of work-related injury and illness is 1.8–6% of Gross Domestic Product (GDP) in country estimates, with an average of 4% of GDP [7]. Hence, safety and health at work remain a major global concern. As a result, urgent action is required to reverse this trend of workplace accidents and diseases [8].
The International Labor Organization’s (ILO) statement indicates that insufficient awareness and understanding of occupational hazards and risks, a lack of the requisite capacity for prevention, compliance and enforcement related to Occupational Safety and Health (OSH), inadequate and inaccurate data on occupational fatalities, injuries and diseases and inadequate legislation, regulations and policies on OSH remain significant challenges, particularly in developing countries, including Ethiopia [9]. However, these occupation-related health problems can be prevented by applying engineering solutions and administrative measures and through use of personal protective equipment.
Despite the various occupational health problems, Ethiopia has been a member state of the International Labor Organization (ILO) since 1923 and has ratified 20 conventions. The Occupational Safety and Health Convention, 1981 (No. 155), is one of the conventions ratified for the protection of workers in their work environment [10]. The government of Ethiopia included promotion of occupational health and safety as a priority issue in its health-policy statement released in 1993 [11]. The government of Ethiopia has also issued a labor proclamation (Proclamation No. 377/2003), which addresses the occupational safety and health measures in Section 3, ‘Obligations of an Employer’ Article 12/4 [12]. The issue of occupational safety and health is also included in the constitution of the country, with the right to a healthy and safe work environment being stated in Article 42/2 [13]. However, there is no national occupational safety and health policy that promotes the health and safety of workers in all occupations [10].
Despite the adoption of the ILO convention, the available Ethiopian constitution and the labor proclamation, there are a lot of gaps in terms of occupational health and safety measures in Ethiopia [14]. The performance of the manufacturing sector and other factories is affected because it uses outdated technologies, poor state of the work environment, limited research and development, poor institutional frame-work and inadequate managerial and technical skills [15].
According to Global Burden of Disease, occupational and environmental factors are the top risk factors that drive death and disability in Ethiopia [16]. Occupational factors had a 9.24% contribution rate for lung cancer, 100% for pneumoconiosis, 17.56% for chronic obstructive pulmonary disease (COPD) and 9.34% for asthma. However, when other environmental factors were combined with the occupational risk factors, it had a 49.22% contribution rate for lung cancer and 51.91% for chronic obstructive pulmonary disease (COPD) [17].
There is a paucity of evidence regarding occupational safety and the health situation in Ethiopia despite the few published studies. The current review examines the existing evidence, current challenges and future direction about dust exposure and respiratory health in selected Ethiopian factories. This will help for evidence-based intervention, policy consideration and possible research direction in the future.

2. Materials and Methods

2.1. Search Strategy

A search of articles was made in online databases such as PubMed, Web of Science, MEDLINE, EMBASE and Google Scholar with a key words “Dust exposure”, “Respiratory health”, “Respiratory symptom”, “Ethiopia” and “Factory workers” from January 2000 to March 2023. This is to include the relevant but limited studies conducted in this period.

2.2. Inclusion and Exclusion Criteria

Full length peer-reviewed articles showing either dust exposure and respiratory health consequences or respiratory health in dusty work environments were considered for this review. In addition, articles that show either dust exposure or respiratory health but are by the same authors and discuss dust exposure and respiratory health separately were considered for review. However, articles that only reflect exposure studies without evaluating respiratory health issues were excluded from the review. In addition, articles that address respiratory health problems of factory workers in a dusty work environment without evaluating exposure were considered for this review. The reviewed article includes factories that generate dust due to the nature of the work process, such as wood, coffee, cement, textile, flower, flour, tannery, agriculture, paper, and steel. These workplaces were included because of their available relevant data for the objective of this review.

2.3. Search Process Flow and Results

A total of 27 papers from 10 different factories were considered for this review. There were 4 articles from the wood industry, 5 from the textile industry, 4 from the Coffee industry, 4 from the cement industry, 3 from the flour industry, 2 from the flower industry, 2 from agriculture and 1 article each from the paper, the tannery and the steel industries found to be used for this review.

3. Results

General Information of the Reviewed Papers

As shown in Table 1, few studies have been conducted on dust exposure and respiratory health in different Ethiopian work environments. The main findings of these studies show that high exposure to dust from wood, coffee, cement, textile, flour, flower, paper, tannery, agriculture and steel is associated with a high prevalence of respiratory health problems. In addition, workers in most work environments do not use appropriate and adequate safety materials. There is also no health and safety training for the workers in most of the occupations studied. This affects worker health and safety by increasing absenteeism and medical costs and decreasing factory productivity.

4. Discussion

4.1. Study Design

The study design of the reviewed manuscripts is mostly cross sectional, with the exception of a follow up study conducted in a cement factory [29]. Both dust exposure and respiratory health assessments were conducted in wood, coffee, textile, cement, paper and steel factories. However, only respiratory health has been studied in flower, flour, tannery and agricultural work environments. Respiratory health could be a proxy indicator of the possibility of high dust exposure in these factories.

4.2. Existing Evidence

The type of dust emitted varies from factory to factory depending on the nature of the process and the raw material used. For example, the wood industry produces wood dust, coffee industry coffee dust, textile industry cotton dust, cement industry silica dust, flour industry flour dust, tannery industry buffing dust, steel industry metallic dust, etc.
The overall results of this review indicate that dust exposure above the recommended limit is associated with a high prevalence of respiratory health problems, which is consistent with other findings [3]. However, the exposure limit standard varies from factory to factory depending on the type of dust emitted, and the studies adopt exposure standards from different countries.
For example, elevated levels of total dust and inhalable dust have been measured in medium- and large-scale wood factories [19,21]. In addition, high endotoxin and formaldehyde levels have been found in the large-scale wood industry [19]. Dust, endotoxin and formaldehyde exposure of workers in such factories has been associated with a high prevalence of respiratory health problems. Personal protective equipment, safety and health training were not provided [18,21]. This finding is consistent with studies conducted in the small-scale wood industry outside Ethiopia [44].
Excessive dust exposure and microbial contamination with Gram-negative bacteria was found in large-scale coffee processing factories [22,24], which was associated with a high prevalence of respiratory health problems [23,25]. This finding is consistent with the result of another study conducted outside Ethiopia [45,46].
High dust levels have been measured in the cement factory, which are associated with respiratory health problems [28,30]. The results are consistent with other studies conducted elsewhere [47,48]. The results are conclusive for the longitudinal studies showing decreased lung function in a follow-up study [29].
In textile factories, higher dust exposure was associated with higher prevalence of respiratory health problems [32,33,34,35,36]. The results are consistent with other studies [49].
In paper and steel factories, excessive dust exposure with a high prevalence of respiratory health problems was reported [42,43]. The results are similar with those of other studies [50,51].
A higher prevalence of respiratory health problems has been reported in flour, flower, tannery and agricultural work environments [26,27,31,40,41]. However, exposure studies have not been conducted in these workplaces. However, due to the nature of the work process, dust emissions are expected in such workplaces, which could lead to a high prevalence of reported respiratory problems among the workers. There is supporting evidence that has been conducted for flour and tannery industries [52,53]. Longitudinal exposure studies could be considered as an area of research for interested investigators to examine the relationship between dust exposure and respiratory health in such workplaces.
The most common predictors of respiratory health problems identified in most workplaces were socio-demographic factors such as gender, age, educational status and income. Behavioral and workplace factors such as work area, work experience, hours worked in excess of 8 h per day, employment status, previous dust exposure, ventilation, use of biofuel as an energy source, smoking, chronic respiratory disease, use of PPE and safety and health training must be considered to determine if interventions are needed.
In addition, Ethiopia has weak internal capacity to monitor and assess workplace hazards [14]. There is also a lack of standards and regulations for dust exposure and control mechanisms in various factories, which could exacerbate the occupational safety and health problem. Overall, the current review shows that inadequate implementation of occupational safety and health leads to excessive dust exposure and a higher prevalence of respiratory problems.

4.3. Current Challenges

In most of the articles reviewed, attention to occupational safety and health is considered one of the major challenges of most workplaces. This is a neglected problem that requires due attention. There is no or limited supply of personal protective equipment and safety and health training for workers in various occupations.

4.4. Future Perspectives

The results of the present review are based on the design of a cross sectional study, which has the limitations of cross-sectional studies. The results are inconclusive regarding the effects of dust exposure on respiratory health. Although the results are based on a cross-sectional design, the level of exposure, the high prevalence of respiratory illness associated with the lack or limited supply of personal protective equipment and the lack of occupational safety and health training indicate the need for further intervention.
To improve worker safety and health, a hierarchy of workplace hazard control from most effective to least effective can be considered, depending on the factory’s circumstances in terms of resources and feasibility. The hierarchy can be described as follows: Elimination, Substitution, Engineering Control, Administrative Control and PPE [54]. To reduce dust exposure and ensure worker respiratory health, the most effective control measures may not be in place or may not function adequately. Therefore, in many workplaces, administrative measures and PPE are recommended as immediate control measures. However, this is considered a last resort to protect against occupational hazards in the workplace.

5. Conclusions

This review found that excessive dust exposure is associated with a high prevalence of respiratory health problems. Lack of personal protective equipment and lack of safety and health training were the main occupational health deficits identified in most factories (more than thirteen articles). Actions that focus on these deficiencies are commendable. Interventions focused on safety and health training and the provision of adequate personal protective equipment of the required quality are recommended. In addition, administrative solutions and longitudinal studies on dust exposure and respiratory health are suggested.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The author declares no conflict of interest.

References

  1. World Health Organization. Available online: https://www.who.int/news/item/15-03-2016-an-estimated-12-6-million-deaths-each-year-are-attributable-to-unhealthy-environments (accessed on 19 March 2023).
  2. World Health Organization. Ambient (Outdoor) Air Pollution. Available online: https://www.who.int/news-room/fact-sheets/detail/ambient-(outdoor)-air-quality-and-health#:~:text=Ambient%20(outdoor)%20air%20pollution%20in,and%20respiratory%20disease%2C%20and%20cancers (accessed on 19 March 2023).
  3. He, W.; Jin, N.; Deng, H.; Zhao, Q.; Yuan, F.; Chen, F.; Zhang, H.; Zhong, X. Workers’ Occupational Dust Exposure and Pulmonary Function Assessment: Cross-Sectional Study in China. Int. J. Environ. Res. Public Health 2022, 19, 1065. [Google Scholar] [CrossRef]
  4. Saleiro, S.; Rocha, L.; Bento, J.; Antunes, L.; Costa, J.T.D. Occupational exposure to dust: An underestimated health risk? J. Bras. Pneumol. 2019, 45, e20170396. [Google Scholar] [CrossRef]
  5. Ferreira, S.S.; Rocha, L.; Bento, J.; Antunes, L.; da Costa, J.T. Respiratory symptoms related to occupational exposure to dust. Eur. Respir. J. 2017, 50, PA423. [Google Scholar] [CrossRef]
  6. European Respiratory Society. Genetic Susceptibility: Occupational Risk Factors. Available online: https://www.ersnet.org/the-european-lung-white-book/ (accessed on 19 March 2023).
  7. Takala, J.; Hämäläinen, P.; Saarela, K.L.; Yun, L.Y.; Manickam, K.; Jin, T.W.; Heng, P.; Tjong, C.; Kheng, L.G.; Lim, S.; et al. Global estimates of the burden of injury and illness at work in 2012. J. Occup. Environ. Hyg. 2014, 11, 326–337. [Google Scholar] [CrossRef] [PubMed]
  8. International Labour Organization. Safety and Health at Work. Available online: https://www.ilo.org/global/topics/safety-and-health-at-work/programmes-projects/WCMS_149466/lang--en/index.htm (accessed on 26 January 2020).
  9. International Labour Organization. Introduction to the ILO’s Programme: Global Action for Prevention on Occupational Safety and Health. Available online: https://www.ilo.org/global/about-the-ilo/how-the-ilo-works/WCMS_495278/lang--en/index.htm (accessed on 19 March 2023).
  10. Confederation of Ethiopian Trade Unions. Occupational Safety and Health and HIV/AIDS at Work Place; Confederation of Ethiopian Trade Unions: Addis Ababa, Ethiopia, 2012; p. 5. [Google Scholar]
  11. Transitional Goverment of Ethiopia. Health Policy of the Transitional Government of Ethiopia; Transitional Goverment of Ethiopia: Addis Ababa, Ethiopia, 1993.
  12. Federal Democratic Republic of Ethiopia. Labour Proclamation; Federal Negarit Gazeta: Addis Ababa, Ethiopia, 2004; Volume 10, p. 52.
  13. Federal Democratic Republic of Ethiopia. Ethiopian Constitution; Federal Negarit Gazeta: Addis Ababa, Ethiopia, 1995; p. 38.
  14. Kumie, A.; Amera, T.; Berhane, K.; Samet, J.; Hundal, N.; Michael, F.G.; Gilliland, F. Occupational health and safety in Ethiopia: A review of situational analysis and needs assessment. Ethiop. J. Health Dev. 2016, 30, 17–27. [Google Scholar]
  15. Addis Ababa Chamber of Commerce and Sectoral Association. A Survey of Ethiopian Manufacturing Sector; Addis Ababa Chamber of Commerce and Sectoral Association: Addis Ababa, Ethiopia, 2014; p. 86. [Google Scholar]
  16. Institute of Health Metrics and Evaluation. Global Burden of Disease. Available online: http://www.healthdata.org/ethiopia (accessed on 26 February 2020).
  17. Institute of Health Metrics and Evaluation. Global Burden of Disease. Available online: https://vizhub.healthdata.org/gbd-compare/ (accessed on 26 February 2020).
  18. Asgedom, A.A.; Bråtveit, M.; Moen, B.E. High prevalence of respiratory symptoms among particleboard workers in Ethiopia: A Cross-sectional study. Int. J. Environ. Res. Public Health 2019, 16, 2158. [Google Scholar] [CrossRef] [PubMed]
  19. Asgedom, A.A.; Bråtveit, M.; Schlünssen, V.; Moen, B.E. Exposure to inhalable dust, endotoxin and formaldehyde in factories processing particleboards from eucalyptus trees in Ethiopia. Environ. Occup. Health Pract. 2020, 2, 2019-0016. [Google Scholar] [CrossRef]
  20. Asgedom, A.A.; Bråtveit, M.; Moen, B.E. Knowledge, attitude and practice related to chemical hazards and personal protective equipment among particleboard workers in Ethiopia: A cross-sectional study. BMC Public Health 2019, 19, 440. [Google Scholar] [CrossRef]
  21. Awoke, T.Y.; Takele, A.K.; Mekonnen, W.T.; Abaya, S.W.; Zele, Y.T.; Alemseged, E.A.; Abay, B.G. Assessment of dust exposure and chronic respiratory symptoms among workers in medium scale woodwork factories in Ethiopia; a cross sectional study. BMC Public Health 2021, 21, 309. [Google Scholar] [CrossRef] [PubMed]
  22. Abaya, S.W.; Bråtveit, M.; Deressa, W.; Kumie, A.; Moen, B.E. Personal Dust Exposure and Its Determinants among Workers in Primary Coffee Processing in Ethiopia. Ann. Work. Expo. Health 2018, 62, 1087–1095. [Google Scholar] [CrossRef] [PubMed]
  23. Abaya, S.; Bråtveit, M.; Deressa, W.; Kumie, A.; Moen, B. Reduced Lung Function among Workers in Primary Coffee Processing Factories in Ethiopia: A Cross Sectional Study. Int. J. Environ. Res. Public Health 2018, 15, 2415. [Google Scholar] [CrossRef]
  24. Abaya, S.; Bråtveit, M.; Deressa, W.; Kumie, A.; Tenna, A.; Moen, B. Microbial contamination of coffee during postharvest on farm processing: A concern for the respiratory health of production workers. Arch. Environ. Occup. Health 2019, 75, 201–208. [Google Scholar] [CrossRef] [PubMed]
  25. Abaya, S.W.; Bråtveit, M.; Deressa, W.; Kumie, A.; Moen, B.E. Respiratory Health Among Hand Pickers in Primary Coffee-Processing Factories of Ethiopia. J. Occup. Environ. Med. 2019, 61, 565–571. [Google Scholar] [CrossRef]
  26. Hanssen, V.M.; Nigatu, A.W.; Zeleke, Z.K.; Moen, B.E.; Bråtveit, M. High prevalence of respiratory and dermal symptoms among Ethiopian flower farm workers. Arch. Environ. Occup. Health 2015, 70, 204–213. [Google Scholar] [CrossRef] [PubMed]
  27. Nigatu, A.W.; Bråtveit, M.; Deressa, W.; Moen, B.E. Respiratory symptoms, fractional exhaled nitric oxide & endotoxin exposure among female flower farm workers in Ethiopia. J. Occup. Med. Toxicol. 2015, 10, 8. [Google Scholar] [CrossRef]
  28. Zeleke, Z.K.; Moen, B.E.; Bråtveit, M. Cement dust exposure and acute lung function: A cross shift study. BMC Pulm. Med. 2010, 10, 19. [Google Scholar] [CrossRef] [PubMed]
  29. Zeleke, Z.K.; Moen, B.E.; Bråtveit, M. Lung function reduction and chronic respiratory symptoms among workers in the cement industry: A follow up study. BMC Pulm. Med. 2011, 11, 50. [Google Scholar] [CrossRef] [PubMed]
  30. Zeleke, Z.K.; Moen, B.E.; Bratveit, M. Excessive exposure to dust among cleaners in the Ethiopian cement industry. J. Occup. Environ. Hyg. 2011, 8, 544–550. [Google Scholar] [CrossRef]
  31. Gizaw, Z.; Yifred, B.; Tadesse, T. Chronic respiratory symptoms and associated factors among cement factory workers in Dejen town, Amhara regional state, Ethiopia, 2015. Multidiscip. Respir. Med. 2016, 11, 13. [Google Scholar] [CrossRef] [PubMed]
  32. Daba Wami, S.; Chercos, D.H.; Dessie, A.; Gizaw, Z.; Getachew, A.; Hambisa, T.; Guadu, T.; Getachew, D.; Destaw, B. Cotton dust exposure and self-reported respiratory symptoms among textile factory workers in Northwest Ethiopia: A comparative cross-sectional study. J. Occup. Med. Toxicol. 2018, 13, 13. [Google Scholar] [CrossRef]
  33. Tefera, Y.; Schlünssen, V.; Kumie, A.; Deressa, W.; Moen, B.E.; Bråtveit, M. Personal inhalable dust and endotoxin exposure among workers in an integrated textile factory. Arch. Environ. Occup. Health 2020, 75, 415–421. [Google Scholar] [CrossRef] [PubMed]
  34. Tefera Zele, Y.; Kumie, A.; Deressa, W.; Moen, B.E.; Bråtveit, M. Reduced Cross-Shift Lung Function and Respiratory Symptoms among Integrated Textile Factory Workers in Ethiopia. Int. J. Environ. Res. Public Health 2020, 17, 2741. [Google Scholar] [CrossRef] [PubMed]
  35. Kifle, M.; Gebremariam, B.; Alemu, K.; Woldeyohannes, S.M. Prevalence and Factors Associated with Respiratory Symptoms Among Bahir Dar Textile Industry Workers, Amhara Region, Ethiopia. Environ. Health Insights 2020, 14, 1178630220965933. [Google Scholar] [CrossRef] [PubMed]
  36. Zele, Y.T.; Kumie, A.; Deressa, W.; Bråtveit, M.; Moen, B.E. Registered health problems and demographic profile of integrated textile factory workers in Ethiopia: A cross-sectional study. BMC Public Health 2021, 21, 1526. [Google Scholar] [CrossRef]
  37. Dalju, I.; Dessie, A.; Bogale, L.; Mekonnen, T.H. Occupational risk factors associated with respiratory symptoms among tannery workers in Mojo town, Southeast Ethiopia, 2018: A comparative cross-sectional study. Multidiscip. Respir. Med. 2018, 14, 10. [Google Scholar]
  38. Negatu, B.; Kromhout, H.; Mekonnen, Y.; Vermeulen, R. Occupational pesticide exposure and respiratory health: A large-scale cross-sectional study in three commercial farming systems in Ethiopia. Thorax 2017, 72, 498–499. [Google Scholar] [CrossRef]
  39. Mekonnen, Y.; Agonafir, T. Effects of pesticide applications on respiratory health of Ethiopian farm workers. Int. J. Occup. Environ. Health 2002, 8, 35–40. [Google Scholar] [CrossRef]
  40. Demeke, D.; Haile, D.W. Assessment of Respiratory Symptoms and Pulmonary Function Status among Workers of Flour Mills in Addis Ababa, Ethiopia: Comparative Cross-Sectional Study. Pulm. Med. 2018, 2018, 9521297. [Google Scholar] [CrossRef]
  41. Alemseged, E.A.; Takele, A.K.; Zele, Y.; Abaya, S.W.; Kiros, K.G.; Mehari, M.; Bezabh, Y.A.; Atsbaha, A.H.; Awoke, T.Y.; Goyteom, M.H. Assessment of Chronic Respiratory Health Symptoms and Associated Factors among Flour Mill Factory Workers in Addis Ababa, Ethiopia, 2019: A Cross-Sectional Study. J. Asthma Allergy 2020, 13, 483–492. [Google Scholar] [CrossRef]
  42. Negash, B.M.; Abaya, S.W.; Abegaz, T.; Takele, A.K.; Mekonnen, W.T.; Negatu, H.B.; Gintamo, T.T.; Tamirat, T.; Koirita, G.K. Assessment of paper dust exposure and chronic respiratory symptoms among paper factory workers in, Ethiopia; a comparative cross-sectional study. BMC Pulm. Med. 2023, 23, 48. [Google Scholar] [CrossRef]
  43. Girma, F.; Kebede, Z. Dust Exposure Associations with Lung Function among Ethiopian Steel Workers. Ann. Glob. Health 2019, 85, 12. [Google Scholar] [CrossRef] [PubMed]
  44. Rongo, L.M.; Besselink, A.; Douwes, J.; Barten, F.; Msamanga, G.I.; Dolmans, W.M.; Demers, P.A.; Heederik, D. Respiratory symptoms and dust exposure among male workers in small-scale wood industries in Tanzania. J. Occup. Environ. Med. 2002, 44, 1153–1160. [Google Scholar] [CrossRef]
  45. Sakwari, G.; Mamuya, S.H.; Bråtveit, M.; Moen, B.E. Respiratory symptoms, exhaled nitric oxide, and lung function among workers in Tanzanian coffee factories. J. Occup. Environ. Med. 2013, 55, 544–551. [Google Scholar] [CrossRef]
  46. Sakwari, G.; Mamuya, S.H.; Bråtveit, M.; Larsson, L.; Pehrson, C.; Moen, B.E. Personal exposure to dust and endotoxin in Robusta and Arabica coffee processing factories in Tanzania. Ann. Occup. Hyg. 2013, 57, 173–183. [Google Scholar] [CrossRef]
  47. Mamuya, S.H.; Sabuni, E.C. Respiratory symptoms and dust exposure among cement processing factory workers, Tanzania. MedCrave Online J. Public Health 2022, 11, 6. [Google Scholar] [CrossRef]
  48. Mwaiselage, J.; Moen, B.; Bråtveit, M. Acute respiratory health effects among cement factory workers in Tanzania: An evaluation of a simple health surveillance tool. Int. Arch. Occup. Environ. Health 2006, 79, 49–56. [Google Scholar] [CrossRef]
  49. Hinson, A.V.; Lokossou, V.K.; Schlünssen, V.; Agodokpessi, G.; Sigsgaard, T.; Fayomi, B. Cotton Dust Exposure and Respiratory Disorders among Textile Workers at a Textile Company in the Southern Part of Benin. Int. J. Environ. Res. Public Health 2016, 13, 895. [Google Scholar] [CrossRef] [PubMed]
  50. Hamzah, N.A.; Mohd Tamrin, S.B.; Ismail, N.H. Metal dust exposure and lung function deterioration among steel workers: An exposure-response relationship. Int. J. Occup. Environ. Health 2016, 22, 224–232. [Google Scholar] [CrossRef]
  51. Andersson, E.; Sällsten, G.; Lohman, S.; Neitzel, R.; Torén, K. Lung function and paper dust exposure among workers in a soft tissue paper mill. Int. Arch. Occup. Environ. Health 2020, 93, 105–110. [Google Scholar] [CrossRef]
  52. Mohammadien, H.A.; Hussein, M.T.; El-Sokkary, R.T. Effects of exposure to flour dust on respiratory symptoms and pulmonary function of mill workers. Egypt. J. Chest Dis. Tuberc. 2013, 62, 745–753. [Google Scholar] [CrossRef]
  53. Işsever, H.; Özdilli, K.; Özyildirim, B.A.; Hapçioglu, B.; Ince, N.; Ince, H.; Isik, E.; Akçay, E.; Yeğenoğlu, Y.; Erelel, M.; et al. Respiratory Problems in Tannery Workers in Istanbul. Indoor Built Environ. 2007, 16, 177–183. [Google Scholar] [CrossRef]
  54. Center for Disease Control and Prevention. Hierarchy of Controls. Available online: https://www.cdc.gov/niosh/topics/hierarchy/default.html (accessed on 19 March 2023).
Table 1. Summary of main findings on dust exposure and respiratory health done in selected Ethiopian factories.
Table 1. Summary of main findings on dust exposure and respiratory health done in selected Ethiopian factories.
FactoryStudy
Design
Sample SizeVariable of StudyMain FindingsScaleReference
Wood Cross sectional 147Respiratory symptom
  • High prevalence of respiratory symptoms (24–45%) as compared to the control groups (2.7–15%).
  • No significant difference on lung function status.
  • No proper personal protective equipment (PPE).
  • No safety and health training.
Large scale[18]
152/45Exposure
  • GM Inhalable dust exposure (n = 152) = 4.66 mg/m3.
  • GM Endotoxin exposure (n = 152) = 62.2 EU/m3.
  • Formaldehyde exposure (n = 45); ranges < 0.2–5 ppm.
  • No proper personal protective equipment (PPE).
  • No safety and health training.
Large scale[19]
172Knowledge, Attitude and Practice (KAP)
  • Permanent workers had better knowledge and attitude towards chemical hazards and PPE.
  • PPE were not as per the required quality.
  • There was poor PPE practice.
  • No safety and health training.
Large scale[20]
506Exposure and Respiratory symptoms
  • GM Inhalable dust exposure = 10.27 mg/m3.
  • High prevalence of respiratory symptoms (42.1–54.6%).
  • Work experience, using bio-fuel as an energy source for cooking, past occupational dust exposure history and having no safety and health training were identified risk factors.
Medium scale[21]
CoffeeCross sectional360Exposure
  • GM Total personal dust exposure varies from 1.08 to 12.54 mg/m3.
Large scale[22]
225Respiratory Health
  • High prevalence of respiratory symptoms (17.9–46.4%) as compared to the controls (1.9–11.3%).
  • Reduced lung function among exposed workers as compared to the controls (water bottling workers).
  • No safety and health training.
Large scale[23]
36Microbial contamination
  • A microbial load ranged from 2.5 × 102 to 7.2 × 105 colony forming units (CFU)/mL.
  • Presence of Gram-negative bacteria.
  • No safety and health training.
Large scale[24]
549Respiratory Health
  • Hand picker experienced a higher prevalence of respiratory symptoms as compared to controls.
  • No personal protective device.
Large scale [25]
Flower farmCross sectional273Respiratory symptoms
  • Limited access to personal protective equipment (PPE).
  • Unsafe pesticide routines.
  • High prevalence of respiratory symptoms.
  • No safety and health training.
Large scale[26]
248Respiratory symptoms
  • Respiratory symptoms vary from 4–53%.
  • No safety and health training.
Large scale[27]
CementCross sectional and follow up60Exposure and Respiratory Health *
  • GM of Total dust varies from 0.4 mg/m3 to 38.6 mg/m3.
  • Prevalence of respiratory symptom varies from 45–85%.
Large scale[28]
262Respiratory Health **
  • GM of Total dust exposure varies from 8.2 mg/m3 to 432 mg/m3.
  • Respiratory symptoms vary from 2.6–73.7%.
  • Reduction in lung function.
Large scale[29]
150Exposure *
  • GM Total dust varies 153–549 mg/m3.
  • No safety and health training.
Large scale[30]
404Respiratory Health *
  • Prevalence of respiratory symptoms ranges from 21% to 38.6%.
  • No proper personal protective equipment (PPE).
  • No safety and health training.
  • Sex, age, educational status, work section, work experience, safety and health training, smoking and chronic respiratory diseases were the identified determinant factors.
Large scale[31]
TextileCross sectional550Respiratory Health
  • The prevalence of self-reported respiratory symptoms was 47.8% as compared to controls 15.3%.
  • No safety and health training.
  • Sex, service year, ventilation and working section were the identified determinant factors.
Large scale[32]
96Exposure
  • GM Inhalable dust (GM)’ = 0.75 mg/m3.
  • GM Endotoxin (GM) = 831 EU/m3.
  • No proper personal protective equipment (PPE).
  • No safety and health training.
Large scale[33]
462Respiratory Health
  • The prevalence of respiratory symptoms was 23–37% as compared to controls (5–17%).
  • Higher cross-shift lung function reduction was observed among textile workers (123 mL for FEV1 and 129 mL for FVC) as compared with the control group (14 mL for FEV1 and 12 mL for FVC).
Large scale[34]
384Respiratory health
  • The prevalence of respiratory symptoms varies from 0.5% to 11.7%.
  • Educational level, working section and PPE utilization were the determinant factors.
Large scale[35]
7,992Registered health problems
  • Respiratory diseases (34%) and musculoskeletal disorders (29%) were the most prevalent diagnoses.
  • 16,993 absent working days due to sick leave were reported.
  • Work department, sex and educational status were the determinant factors.
Large scale[36]
TanneryCross sectional602Respiratory Health
  • The prevalence of respiratory symptoms among exposed workers was 27.1% while it was 8.3% among unexposed workers.
  • The odds of developing respiratory symptoms were 3.37 times higher among tannery workers than unexposed workers (civil servants).
  • Sex, employment status, ventilation, safety and health training and PPE utilization were the determinant factors.
Large scale[37]
AgricultureCross sectional1104Respiratory Health
  • Increased risks for respiratory symptom (OR = 3.15 to 6.67) among the exposed subjects as compared with unexposed.
  • Reductions in FEV1 (140 mL), forced expiratory flow 25–75% (550 mL/s) and risk of FEV1/FVC ratio < 0.8.
  • No safety and health training.
Large scale[38]
334Respiratory health
  • Reduction of pulmonary function and frequent complaints of respiratory symptoms among farm workers.
Large scale[39]
FlourCross sectional406Respiratory health
  • Prevalence of chronic respiratory symptoms was higher among flour mill workers (11.9–56.6%) as compared to soft-drinks factory workers (2.9–12.9%).
  • Reduction of lung function among flour mill workers as compared to controls.
  • Educational level, working section, work experience and working over eight hours were the determinant factors.
Large scale[31]
108Respiratory health
  • Reduction in pulmonary function in flour mill workers as compared to their matched controls.
  • Prevalence of chronic respiratory symptoms was higher among flour mill workers (11.1–27.7%) as compared to controls (3.8–9.3%).
Large scale[40]
424Respiratory health
  • Prevalence of chronic respiratory symptoms varies from 14.2 to 58.3%.
  • Age, income, work experience, past dust exposure and PPE utilization were the determinant factors.
Large scale[41]
PaperCross sectional40Exposure
  • GM of dust exposure = 10.2 mg/m3
Large scale[42]
434Respiratory health
  • Prevalence of chronic respiratory symptoms varies (17–32.5%) as compared to controls (4.4–8.9%).
  • Educational status, working section, work experience and working more than 8 h per day were the determinant factors.
Large scale[42]
SteelCross sectional75
  • Mean particulate matter level = 153.7–2927 μg/m3.
  • Respiratory symptom varies from 25–39%.
Large scale[43]
EU/m3: endotoxin unit per cubic meter; GM: Geometric Mean; n: sample size; mg/m3: milligram per cubic meter; μg/m3: microgram per cubic meter; OR: Odds Ratio; PPE: personal protective equipment; KAP: Knowledge, Attitude and Practice; *: Cross sectional study; **: Follow up study; FVC: Forced Vital Capacity; FEV1: Forced Expiratory Volume in one second.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Asgedom, A.A. Dust Exposure and Respiratory Health among Selected Factories in Ethiopia: Existing Evidence, Current Gaps and Future Directions. J. Respir. 2023, 3, 49-59. https://doi.org/10.3390/jor3020006

AMA Style

Asgedom AA. Dust Exposure and Respiratory Health among Selected Factories in Ethiopia: Existing Evidence, Current Gaps and Future Directions. Journal of Respiration. 2023; 3(2):49-59. https://doi.org/10.3390/jor3020006

Chicago/Turabian Style

Asgedom, Akeza Awealom. 2023. "Dust Exposure and Respiratory Health among Selected Factories in Ethiopia: Existing Evidence, Current Gaps and Future Directions" Journal of Respiration 3, no. 2: 49-59. https://doi.org/10.3390/jor3020006

APA Style

Asgedom, A. A. (2023). Dust Exposure and Respiratory Health among Selected Factories in Ethiopia: Existing Evidence, Current Gaps and Future Directions. Journal of Respiration, 3(2), 49-59. https://doi.org/10.3390/jor3020006

Article Metrics

Back to TopTop