Abstract
Background:
Municipal solid waste collection is one of the most dangerous jobs in the world since it exposes the workers involved to occupational hazards and predisposes them to certain occupation-related morbidities. Occupational injuries among municipal solid waste collectors have not been adequately addressed or reported in developing countries, including Ethiopia. Therefore, this study aimed to determine the prevalence of occupational injuries and associated factors among municipal solid waste collectors in Harar Town, Ethiopia.
Methods:
A cross-sectional study was conducted in Harar town, Eastern Ethiopia from May 25, 2021 to June 25, 2021. Three hundred eighty-nine (389) municipal solid waste collectors were selected using a simple random sampling method. A self-administered structured questionnaire and an observational checklist were used to collect the data. The collected data was analyzed using SPSS version 20. Bivariate and multivariable logistic regression were used to determine the association between independent variables and the outcome variable. A P-value of <.05 was considered as a cut-off point for statistical significance.
Results:
The current study found that about 60.4% of municipal solid waste collectors were exposed to occupational injuries. Furthermore, the study found a statistically significant association between the prevalence of occupational injuries and having a primary education [AOR = 0.10, 95% CI (0.03-0.38)], a secondary education [AOR = 0.04, 95% CI (0.03-0.45)], work experience [AOR = 5.975, (95% CI (2.01-17.75)], the use of personal protective equipment [AOR = 0.09, (95% CI: 0.02-0.46)], and training [AOR = 0.10, 95% CI (0.03-0.30)].
Conclusions:
The current study found that more than three-fifth of municipal solid waste collectors were exposed to occupational injury. Furthermore, the current study found that there was an statistical relationship between the prevalence of occupational injuries and having a primary education, a secondary education, work experience, the use of personal protective equipment, and training. Before and after hiring solid waste collectors, employers should provide personal protective equipment and tailored training on safety measures.
Keywords: Occupational injuries, occupational hazards, solid waste collectors, Ethiopia
Introduction
Currently, occupational-related injuries and illnesses are a global public health concern. Although waste collection has been contributing greatly to human health by reducing the risk of several infectious diseases, solid waste collectors are at high risk of fatal and non-fatal injuries. 1
Working conditions for the majority of the 3 billion workers worldwide do not meet the minimum standards and guidelines set by the World Health Organization and the International Labour Organization (ILO) for occupational health and safety.2-5 According to the most recent ILO global estimates of occupational accidents and work-related illnesses in 2017, there were an estimated 2.78 million fatalities in 2017, compared to an estimated 2.33 million in 2011.2-5
For fatal occupational accidents, there were 380 500 deaths, an increase of 8% in 2014 compared to 2010. Fatal work-related diseases have been a concern since 1998 and are at least 5 times higher than fatalities due to occupational accidents.2-5 In 2015, there were 2.4 million deaths due to fatal work-related diseases, an increase of 0.4 million compared to 2011. In Africa, there was the highest fatality rate, which accounted for 16.6 per 100 000 people in the Labour force. However, 374 million people are injured each year, resulting in more than 4 days missed from work, and occupational accidents cost 4% of global gross domestic product (GDP), including lost workdays, production interruption, retraining, and medical expenses.2-5
This problem is high in developing countries, 6 where about 80% of workers are employed in unsafe work environments and only 5% to 15% have access to occupational health services. 7 Because waste management procedures in developing countries majorly involve manual handling of the waste. 8 In sub-Saharan Africa, 54 000 workers die, and 42 million work-related accidents each year. 9 However, the problems might be higher than this report as the result of low levels of reporting injuries in most of the developing countries.4,10,11 Solid waste collectors face occupational health and safety risks around the world due to the materials they handle, the wastes they collect, and the equipment they utilize. 12 Joint and spinal injuries, fractures, puncture wounds, and damage to the eyes and ears are just a few of the injuries that can occur. Slides from unstable disposal piles, cave-ins of disposal site surfaces, fires, explosions, being caught in processing machinery, and being run over by mobile equipment are only some of the accidents that can happen. Collection, recycling, processing, and disposal technologies are all considered in relation to solid waste management. 12 For example, in Brazil’s Social Security data registered a total of 2 152 524 accidents nationwide for all classes of workers in the period between 2011 and 2013. For workers collecting, treating, or disposing of domestic and/or dangerous waste, 27 460 accidents were registered nationwide in the same period, representing less than 1% of the total. Only in 2013, with 7056 registered cases, accidents registered by workers collecting non-dangerous waste were the 14th most frequent type in that year compared with all other registered activities. 13
In Ethiopia, municipal solid waste workers collect waste door to door and from commercial areas that needs to be shoveled by hand, picked up by hand or emptied from sacks in which the workers have direct contact with solid waste, and exposed to strenuous working conditions.14,15 The above facts indicate that workers have direct contact with solid waste, and are also exposed to strenuous working conditions. These workers have used less personnel protective equipment, and most municipal solid wastes are not safely contained in liftable load sizes. Besides these problems, there is inadequate evidence on the prevalence of occupational-related injuries and determinant factors among municipal solid waste collectors (MSWC). 16 Occupational related studies are not adequate given that the possible exposure of workers to various work related hazards might exist. 14 This indicates that there is a strong need to generate evidence on the occupational injuries of solid waste collectors to know the extent of the problems in Harar town.
This study was aimed to determine the prevalence of occupational injuries and associated factors among municipal solid waste collectors. The finding of the current study can be used by the concerned organizations, including policy makers, and health program planners to take an appropriate measure to minimize the severity of occupational injuries and associated risk factors. It can also vital for designing mechanisms to resolve the gap for concerned stakeholders.
Materials and Methods
Study area, period, and design
The study was conducted in Harar town from May 25, 2021 to June 25, 2021. Harar town found at about 525 km from the capital city of Ethiopia, Addis Ababa. Harar town are located at a latitude and longitude of 9°19′N and 42°7′E, respectively. Based on 2015/2016, projected census by the Central Statistics Agency of Ethiopia, Harar has a total population of 255 690: 121 133 males and 134 557 females. Harari Regional State is divided into 6 urban and 3 rural administrative woredas.
Source and study population
All solid waste collectors found in Harar town were the source population while the selected solid waste collectors in all woreda of Harar town were the study population. Municipal solid waste collectors engaged in each element of the solid waste collection system in 6 woredas of Harar town included in the current study. Solid waste collectors seriously ill other than occupational injuries, on maternity and annual leave were excluded from the study. In Ethiopia, solid waste workers collect the waste door to door and from commercial areas that needs to be shoveled by hand, picked up by hand or emptied from sacks in which the workers have direct contact with solid waste.14,15
Sample size determination
Sample size was calculated based on the pervious reported prevalence (63.9%) in Ethiopia 13 with a 95% confidence interval of, z = 1.96 and 0.05 margin of error (d)=, q = 0.361. Furthermore, 10% non-response rate was also considered. Finally, 389 sample was obtained using the equation bellow. 17
Sampling technique and procedures
A sample size of 389 solid waste collectors was selected in the 6 Woredas. Finally, the respondents who were included in the study from each woreda were identified by using a simple random sampling method and random number generator software based on the sampling frame obtained from the Harar town municipality workers’ registration book (N = 570) (Supplemental File: Figure 1).
Data collection method and procedures
Questionnaire was prepared by reviewing previously conducted studies and international organization such as International Labour Organization (ILO).10,14,15,18-23 It was designed to collect information about the prevalence of occupational injuries, socio demographic, behavioral, and other work-related factors. The questionnaire was first prepared in English and translated in to local language (Amharic and Afan Oromo), the local language of study participants. The questionnaire was pre-tested on solid waste collectors in the Dire Dawa town who are not included for the study before the start of actual data collection on 5% of sample size. The training was given for the data collectors on data collection tools, and ethics. Data were collected by face-to-face interviews using structured and observational checklist.
Study variables
Dependent variable.
• Prevalence of occupational injuries
Independent variables.
• Socio-demographic variables: Age of the worker, sex, educational status, marital status, and monthly income
• Working environment related variables: Daily working hours, work experience, occupational health and safety training, job category or work duty, and availability of PPE
• Behavioral related variables: utilization of personal protective equipment, alcohol consumption, cigarette smoking, and sleeping pattern
Data quality control
The questionnaire and observational checklist were pre-tested in Dire Dawa town, outside the study area, to check the relevance, applicability, and clarity of the data collection tools. The data collectors were trained on the data collection tools, the ways of data collection and ethics. The collected data was then checked for their completeness daily. The data entry was done 2 times to reduce the error.
Data processing and analysis
Data was entered using EPI INFO version 7.2.4 statistical software and analyzed using Statistical Package for Social Sciences (SPSS) version 20.0. Descriptive statistics were used to estimate the percentages, means, and standard deviations. Bivariate and multivariate regression analyses were used to determine the association between dependent and independent variables. A multi-collinearity test was used to assess the correlation between some independent variables. Finally, P-value < .05 was considered as a cutoff point for statistical significance.
Results
Socio-demographic Characteristics
Of 389 solid waste collectors, 381 were interviewed, with a response rate of 98%. Among the interviewed, 223 (58.5%) were females. The median age of respondents was 38 ± interquartile range (IRQ) of 12 years. Two hundred forty-three (63.8%) were married, and 214 (56.2%) were illiterate (Table 1).
Table 1.
Variables | Category | Frequency | Percentage |
---|---|---|---|
Sex | Female | 223 | 58.5 |
Male | 128 | 41.5 | |
Age (y) | ⩽20 | 18 | 4.7 |
21-30 | 92 | 24.1 | |
31-40 | 141 | 37.0 | |
41-50 | 130 | 34.1 | |
Marital status | Married | 243 | 63.8 |
Single | 76 | 19.9 | |
Divorced | 46 | 12.1 | |
Widowed | 16 | 4.2 | |
Educational level | No education | 214 | 56.2 |
Informal education | 27 | 7.1 | |
Primary schools (1-8) | 109 | 28.6 | |
Secondary and above | 31 | 8.1 | |
Monthly salary (ET.Birr) | ⩽3200 | 35 | 9.2 |
>3200 | 346 | 90.8 | |
Additional job | No | 308 | 80.8 |
Yes | 73 | 19.2 |
One Dollar = 50 ET.Birr.
Behavioral and work-related characteristics of respondents
Two hundred fifty-five (66.9%) of the study participants were working more than 5 days per week. Among respondents, 204 (53.5%) respondents had personal protective equipment (PPE), of which 185 (90.7%) were using PPE. Furthermore, 93 (24.4%), 203 (53.3%), and 82 (21.5%) of the participants had a history of alcohol consumption, chewing khat, and smoking cigarettes, respectively (Table 2).
Table 2.
Variables (n = 381) Category | Frequency | Percentage (%) | |
---|---|---|---|
Work experience | ⩽1 y | 178 | 46.7 |
>1 y | 203 | 53.3 | |
Working days | ⩽5 d per week | 126 | 33.1 |
>5 d per week | 255 | 66.9 | |
Availability of PPE | No | 177 | 46.5 |
Yes | 204 | 53.5 | |
PPE use on duty (n = 204) | No | 19 | 9.3 |
Yes | 185 | 90.7 | |
Reason non-use PPEs | Not comfortable to use | 55 | 30.4 |
To save time | 24 | 13.3 | |
Lack of PPE | 74 | 40.9 | |
Lack of safety and health education | 26 | 14.4 | |
Other reasons (forgetfulness, carelessness) | 2 | 1.1 | |
Health and safety training before employment | No | 171 | 44.9 |
Yes | 210 | 55.1 | |
On job training | No | 348 | 91.3 |
Yes | 33 | 8.7 | |
Smoking cigarette | No | 299 | 78.5 |
Yes | 82 | 21.5 | |
Drinking alcohol | No | 288 | 75.6 |
Yes | 93 | 24.4 | |
Chewing chat | No | 178 | 46.7 |
Yes | 203 | 53.3 | |
Job satisfaction | No | 61 | 16.0 |
Yes | 320 | 84.0 |
Prevalence of occupational injuries among respondents
Of 381 solid waste collectors, 230 (60.4%) were exposed to occupational related injuries in the last 12 months, of which 184 (80%) sustained injuries more than once and 109 (28.6%) were exposed in the last 1 month.
The most common body parts exposed to injury were the hand, leg, and back, which accounted for 237 (56.8%), 85 (20.4%), and 83 (19.9%), respectively. Furthermore, 175 (76.1%) participants were exposed to injuries in the last 12 months (Table 3).
Table 3.
Variable | Frequency | Percent | |
---|---|---|---|
Occupational injury in the past 12 mo | No | 151 | 39.6 |
Yes | 230 | 60.4 | |
Occupational injuries in the last month (n = 381) | No | 272 | 71.4 |
Yes | 109 | 28.6 | |
Frequencies of injuries (n = 230) | Once | 46 | 20.0 |
Twice | 49 | 21.3 | |
More than twice | 135 | 58.7 | |
Injured body parts | Hand | 237 | 56.8 |
Leg | 85 | 20.4 | |
Back | 83 | 19.9 | |
Head | 6 | 1.4 | |
Eye | 4 | 1.0 | |
Tooth | 2 | 0.5 |
The most prevalent types of occupational injuries among solid waste collectors were cut 140 (29.9%), abrasion/laceration 120 (25.6%), and back pain 78 (16.7%) (Figure 1).
The research shows that this group of workers were severely injured while collecting waste, 173 (38.8%). Transferring waste from the household’s receptacles as well as picking openly discarded waste from the ground are examples of these activities. Following that, there were 121 (27.1%) lifting rubbish, 120 (26.7%) loading tracks, and 16 (3.6%) unloading tracks. Other tasks include loading the sacks or carts and sweeping the container’s area at the curb (Figure 2).
Factors associated with occupational injuries
The current study found that workers who completed primary education had an 89.8% lower risk of occupational injury [AOR = 0.102 (95% CI: 0.028-0.375)]. Furthermore, when compared to the illiterate, workers with a secondary or higher education had a 96% lower risk of injury [AOR = 0.04 (95% CI: 0.030-0.452)]. Solid waste collectors who received health and safety training had a 90% lower chance of being injured than those who did not [AOR = 0.10 (95% CI: 0.026-0.303)]. Furthermore, the use of on-the-job helped to prevent occupational injuries among solid waste collectors. When compared to their counterparts, PPE users had a 91.1% lower risk of harm [AOR = 0.089, 95% CI (0.017-0.457)] (Table 4).
Table 4.
Variable | Predictor | Occupational injuries in the past 12 mo (381) | COR (95% CI) | AOR (95% CI) | |
---|---|---|---|---|---|
Yes (%) | No (%) | ||||
Sex | Female | 157 (70.4) | 66 (29.6) | 2.78 (1.81-4.24) | 4.33 (0.99-19.04) |
Male | 73 (46.2) | 85 (53.8) | 1 | 1 | |
Age(year) | ⩽ 20 | 1 (5.6) | 17 (94.4) | 0.18 (0.002-0.144) | 0.34 (0.012-9.986) |
21-30 | 37 (40.2) | 55 (59.8) | 0.21 (0.12-0.38) | 1.51 (0.30-8.680) | |
31-40 | 93 (66) | 48 (34) | 0.61 (0.36-1.03) | 1.82 (0.53-6.194) | |
41-50 | 99 (76.2) | 31 (23.8) | 1 | 1 | |
Educational level | No education | 168 (78.5) | 46 (21.5) | 1 | 1 |
Can read and write | 16 (59.3) | 11 (40.7) | 0.398 (0.173-0.917) | 0.57 (0.13-2.49) | |
Primary school | 39 (35.8) | 70 (64.2) | 0.153 (0.092-0.254) | 0.10 (0.03-0.38)* | |
Secondary and above | 7 (22.6) | 24 (77.4) | 0.08 (0.032-0.197) | 0.04 (0.03-0.45)* | |
Current Marital status | Married | 151 (62.1) | 92 (37.9) | 1 | 1 |
Single | 31 (40.8) | 45 (59.2) | 0.42 (0.25-0.71) | 2.43 (0.414-14.23) | |
Divorced | 33 (71.7) | 13 (28.3) | 1.55 (0.77-3.09) | 4.68 (0.97-22.55) | |
Widowed | 15 (93.75) | 1 (6.25) | 9.14 (1.19-70.3) | 1.38 (0.101-18.79) | |
Work experience | ⩽ 1 y | 64 (36) | 114 (64) | 1 | |
>1 y | 166 (81.8) | 37 (18.2) | 7.99 (5.0-12.8) | 5.975 (2.01-17.75)* | |
PPE use on duty | No | 14 (73.7) | 5 (26.3) | 1 | 1 |
Yes | 50 (27) | 135 (73) | 0.132 (0.045-0.386) | 0.089 (0.02-0.46)* | |
Safety training before employment | No | 22 (13) | 149 (87) | 1 | 1 |
Yes | 129 (61.4) | 81 (38.6) | 0.09 (0.06-0.16) | 0.10 (0.03-0.30)* | |
On job training | No | 220 (63.2) | 128 (36.8) | 1 | 1 |
Yes | 10 (33.3) | 23 (69.7) | 0.25 (0.12-0.55) | 1.37 (0.298-6.28) | |
Work related instability | No | 154 (56.2) | 120 (43.8) | 1 | 1 |
Yes | 76 (71) | 31 (29) | 1.9 (1.2-3.1) | 1.15 (0.296-4.47) | |
Smoking cigarette | No | 179 (59.9) | 120 (40.1) | 1 | 1 |
Yes | 51 (62.2) | 31 (37.8) | 1.1 (0.7-1.8) | 0.637 (0.108-3.75) | |
Drinking alcohol | No | 169 (58.7) | 119 (41.3) | 1 | 1 |
Yes | 61 (65.6) | 32 (34.4) | 1.3 (0.8-2.2) | 2.505 (0.51-12.27) | |
Sleeping problem | No | 158 (58.1) | 114 (41.9) | 1 | 1 |
Yes | 72 (66.1) | 37 (33.9) | 1.4 (0.9-2.2) | 0.925 (0.24-3.53) | |
Job satisfaction | No | 47 (77) | 14 (23) | 1 | 1 |
Yes | 183 (57.2) | 137 (42.8) | 0.4 (0.2-0.8) | 1.543 (0.36-6.57) |
Abbreviations: AOR, adjusted odds ratio; CI, confidence interval; COR, crude odds ratio.
Significant with P < .05.
Discussion
The current study found that 230 (60.4%) of solid waste collectors were exposed to occupational injuries in the last 12 months, which was in line with the findings of other studies conducted in Egypt, which reported 64%, 24 and in Ethiopia, which reported 63.9%. 15 However, it was higher than the finding reported by a studies conducted in Thailand, which reported 36.37%, 25 Tanzania which reported 40.90%, 26 Ghana 27.8%, 20 and in Ethiopia which reported 34.3%. 10 The variation may be related to the difference in waste management systems or technology, work experience, application of occupational health and safety measures and services, or access to the PPE.
Furthermore, this study found that among 230 solid waste collectors exposed to work-related injury, 38.8% were exposed during waste collection, 27.1% during lifting waste, and 26.9% during loading waste. This finding was consistent with studies conducted in different regions of Ethiopia; Addis Ababa10,14,15 which reported collecting waste (44.9%), followed by loading and lifting 79 (15.6%) and 71 (14.6%), respectively. But a study conducted in America in 2010 on solid waste collectors showed that lifting/pushing/pushing (22.5%) was the most common cause of injury, followed by falls (10.5%), repetitive motion (6.2%), and awkward body posture (6.2%). 27 The variation may be related to the difference in waste management practices, training, work experience, occupational health and safety measures in the study areas.
Regarding the body parts injured, the study found that the most common body parts injured were hands, legs, and back pain was 56.8%, 20%, and 19.9%, respectively. Similar findings were shown in Ethiopia, where hands (22.7%), legs (21.8%), and back pain (17.2%) were the most commonly injured parts of the body. 15 Moreover, similar investigations carried out in Ethiopia revealed significant rates of injuries to the hands, legs, and back pain.10,14 This might be due to the fact that most solid waste collectors (SWCs) manually collect waste then place it in sacks and trucks with their hands, increasing the risk of cuts and abrasions. 14
Furthermore, solid waste collectors, particularly those participating in collecting, routinely use their hands and legs to compact waste in sacks for easy transportation. However, a study of solid waste collectors in the United States of America (USA) found that hands (12%), legs (6%), and back pain (20%) were the most frequent problems. 27 The discrepancy between hand, leg, and back injuries is due to the capacity of bins. In USA, they used litter bins located in parks and gardens which are more difficult to work with and required higher forces to push or pull a full wheel bin across soft or wet lawn, pine bark, mud or soil and the workers adopted awkward posture.27,28 However, in this study, SWCs utilized non-puncture-proof sacks or bags. It might also be related to respondents’ lack of or underuse of PPE, since the majority of respondents stated that they do not use PPE all of the time owing to a lack of PPE or discomfort in using it.
In this study, the most frequent causes of work related injury were sharp and slender pointed objects (38.8%) during waste collection, lifting waste (27.1%), and loading waste (26.9%). This finding was consistent with some studies conducted in Ethiopia.10,14,15 But, a study conducted in America in 2010 on solid waste collectors showed that lifting/pushing/pushing (22.5%) was the most common cause of injury, followed by falls (10.5%), repetitive motion (6.2%), and awkward body posture (6.2%). 27 The possible reasons are that sharp and slender pointed objects were the common causes of injury in this study as a result of sharp and slender pointed objects being disposed of with the general waste (mixed waste). Even workers who wore hand gloves during data collection did not wear PPE on a regular basis, and the community used punctured bags to store waste, exposing collectors susceptible to injury during waste collection and handling.
In this study, increasing educational levels have been associated with decreased occupational injuries compared to those who are not educated [AOR = 0.102, 95% CI (0.028-0.375)] and [AOR = 0.04, 95% CI (0.030-0.452)], respectively. This is consistent with studies conducted in Egypt, Rwanda, and Ethiopia.15,29,30 Furthermore, solid waste collectors who had health and safety training before engaging in the job decreased the probability of injury occurrences by 90% compared to those who were not trained [AOR = 0.10, 95% CI (0.026-0.303)]. This finding was supported by another finding conducted in India and Ethiopia.15,22
Furthermore, solid waste collectors with 1 and above year experience had 5.975 higher odds of occupational injury compared to those solid waste collectors with 1 year and less work experience. The finding of the current study was consistent with studies conducted in Tanzania, and Ethiopia.15,26 Additionally, this study found that the use of personal protective equipment on the job sought to minimize solid waste collectors from suffering occupational injuries that was consistent with studies conducted in India, Egypt, Tanzania, and Ethiopia.14,15,19,22,26,29
Strength and limitation
This study adapted standard questionnaires from reviewing previously done studies and other materials related to the topic, like International Labour Organization (ILO) occupational injury statistics and different relevant sources with required modifications based on outcome variables and observation. This would help to compare the proportion of occupational injuries against national and international point of view. In addition, the sample size was large and representative. The limitation of this study was that it might not show the illness or the health concerns of solid waste collectors and recall biases.
Conclusion
The results of this study concluded that a higher prevalence rate of occupational injury was reported in the study areas. This study identified that educational level, work experience, utilization of PPEs, and health and safety training were the predictor factors associated with occupational injury. In general, this data, as well as those from previous research, indicated that Harar had a greater frequency of occupational injuries. Before and after hiring solid waste collectors, employers should provide personal protective equipment (PPEs) and tailored training on safety measures.
Supplemental Material
Supplemental material, sj-docx-1-ehi-10.1177_11786302221104025 for Occupational Injuries and Associated Factors Among Municipal Solid Waste Collectors in Harar Town, Eastern Ethiopia: A Cross Sectional Study by Liku Muche Temesgen, Dechasa Adare Mengistu, Salie Mulat, Gutema Mulatu, Sina Temesgen Tolera, Ashenafi Berhanu, Negga Baraki and Tesfaye Gobena in Environmental Health Insights
Acknowledgments
The authors are pleased to acknowledge the study participants participated in this work, Haramaya University, College of Health and Medical Science and staff for their support throughout this study by providing all necessary materials and technical supports. We would like to thanks Mr. Wegene Deriba for his constructive supports.
Footnotes
Funding: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work received a fund from Haramaya University for data collection.
Declaration of Conflicting Interests: The author declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Author Contributions: LM conceived the ideas and had a major role in conceptualization, design, data collection, analysis, interpretation, drafting, and revising the manuscript. TG, NB, DAM, STT, GM, SM, and AB contributed to data analysis, drafting, and revising the manuscript. Finally, all authors read and approved the final version of this manuscript and agreed on all issues regarding this work.
Data Availability: All data are included in this study. However, additional data will be available from the corresponding author upon reasonable request.
Ethical Consideration: Ethical approval for this study was obtained from the Institutional Health Research Ethics Review Committee (IHRERC) of College of Health and Medical Sciences of Haramaya University (protocol number: IHRERC/062/2021).
Supplemental Material: Supplemental material for this article is available online.
References
- 1. Kuijer PP, Frings-Dresen MH. World at work: refuse collectors. Occup Environ Med. 2004;61:282-286. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Hämäläinen P, Takala J, Kiat TB. Global Estimates of Occupational Accidents and Work-Related Illnesses. Workplace Safety and Health Institute; 2017. [Google Scholar]
- 3. Burton J. Who Healthy Workplace Framework and Model. World Health Organisation; 2010:12. [Google Scholar]
- 4. Takala J, Hämäläinen P, Saarela KL, et al. Global estimates of the burden of injury and illness at work in 2012. J Occup Environ Hyg. 2014;11:326-337. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. International Labour Organization. Health at Work: A Vision for Sustainable Prevention: World Congress on Safety and Health at Work 2014: Global Forum for Prevention. International Labour Office; 2014. [Google Scholar]
- 6. Machida S, Bachoo P. Guidelines on occupational safety & health management systems. Afr Newsl Occupat Health Saf. 2001;11:68-69. [Google Scholar]
- 7. Hämäläinen P, Leena Saarela K, Takala J. Global trend according to estimated number of occupational accidents and fatal work-related diseases at region and country level. J Saf Res. 2009;40:125-139. [DOI] [PubMed] [Google Scholar]
- 8. Bleck D, Wettberg W. Waste collection in developing countries–tackling occupational safety and health hazards at their source. Waste Manag. 2012;32:2009-2017. [DOI] [PubMed] [Google Scholar]
- 9. Alli BO. Fundamental Principles of Occupational Health and Safety/International Labour Office. ILO; 2008. [Google Scholar]
- 10. Eskezia D, Aderaw Z, Ahmed KY, Tadese F. Prevalence and associated factors of occupational injuries among municipal solid waste collectors in four zones of Amhara region, Northwest Ethiopia. BMC Public Health. 2016;16:862. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Ministry of Labor and Social Affairs. Workrelated Injuries Report From Federal, Amhara and Southern Nations, Nationalities, and People’s Region. Department of Occupational Health and Safety at Work; 2008. [Google Scholar]
- 12. Cointreau S. Occupational and environmental health issues of solid waste management: special emphasis on middle-and lower-income countries. Urban Pap. 2006;2:1-40. [Google Scholar]
- 13. Mol MP, Pereira AF, Greco DB, Cairncross S, Heller L. Assessment of work-related accidents associated with waste handling in Belo Horizonte (Brazil). Waste Manag Res. 2017;35:1084-1092. [DOI] [PubMed] [Google Scholar]
- 14. Bogale D, kumie A, Tefera W. Assessment of occupational injuries among Addis Ababa city municipal solid waste collectors: a cross-sectional study. BMC Public Health. 2014;14:169. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Gizaw Z, Gebrehiwot M, Teka Z, Molla M. Assessment of occupational injury and associated factors among municipal solid waste management workers in Gondar Town and Bahirdar City, North West Ethiopia. J Med Med Sci. 2012;5:181-192. [Google Scholar]
- 16. Gietaneh W, Simieneh MM, Alene M, Asemie MA, Shitu D. Work related injury and its disparity across selected occupations in Ethiopia: systematic review and meta-analysis. 2020;1:1-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Jung SH. Stratified Fisher’s exact test and its sample size calculation. Biom J. 2014;56:129-140. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Tadesse T, Ademassu M. Occupational Health and Safety: Lecture Note for Environmental and Occupational Health Students. Gondar University; 2006:1-5. [Google Scholar]
- 19. Abrha MB, Arbise Y, Asgedom AA, Meressa B. Days away from work injury and associated factors among waste collectors in Mekelle City, northern Ethiopia. J Prev Med Hyg. 2021;62:E141-E147. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Ephraim P. Factors Associated With Occupational Injuries among Solid Waste Collectors of Zoomlion Ghana Limited in the Accra Metropolitan Assembly. MPh Thesis, University of Ghana; 2018. [Google Scholar]
- 21. International Labour Organization. Occupational Injury Definition. International Labour Organization; 1998. [Google Scholar]
- 22. Sanjay SD. Occupational Health Problems Among Door to Door Solid Waste Handlers in Surat City. SCTIMST; 2009. [Google Scholar]
- 23. International Labour Organization. Statistics of Occupational Injuries. Resolution Concerning Statistics of Occupational Injuries Resulting From Occupational Accidents. International Labour Organization; 1998. [Google Scholar]
- 24. Abd A, El-Wahed Shams E-D, El-Nassir A, Mohammed SE-H, Abou A, ElGaber DA. Study of health problems among municipal waste collectors in Sohag City, Egypt. N Y Sci J. 2017;10:75-79. [Google Scholar]
- 25. Phosrikham N, Laohasiriwong W, Luenam A, et al. Health Literacy, occupational health and safety factors and quality of life of municipal waste collectors in the northeast of Thailand. Indian J Public Health Res Dev. 2020;11:2460-2464. [Google Scholar]
- 26. Mamuya S, Badi S. Factors contributing to occupational injuries among solid waste collectors: across sectional study in a municipal in Tanzania. MOJ Public Health. 2019;8:237-241. [Google Scholar]
- 27. Olorunnishola OA, Kidd-Taylor A, Byrd L. Occupational injuries and illnesses in the solid waste industry: a call for action. New Solut. 2010;20:211-223. [DOI] [PubMed] [Google Scholar]
- 28. Robazzi M, Moriya TM, Favero M, Lavrador MAS, Luis MAV. Garbage collectors: occupational accidents and coefficients of frequency and severity per accident. Ann Agric Environ Med. 1997;4:91-96. [Google Scholar]
- 29. Abd A, Mohamed A, EAEl-wahed A. Adverse health effects among solid waste collectors in Alexandria Governorate. Int J Prev Med. 2018;5:23-48. [Google Scholar]
- 30. Mugabo J, Njunwa KP, Gachohi JD. Assessment of factors associated with occupational injuries among municipal solid waste workers in Kigali City, Rwanda. Int J Sci Res. 2018;7:1386-1393. [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Supplemental material, sj-docx-1-ehi-10.1177_11786302221104025 for Occupational Injuries and Associated Factors Among Municipal Solid Waste Collectors in Harar Town, Eastern Ethiopia: A Cross Sectional Study by Liku Muche Temesgen, Dechasa Adare Mengistu, Salie Mulat, Gutema Mulatu, Sina Temesgen Tolera, Ashenafi Berhanu, Negga Baraki and Tesfaye Gobena in Environmental Health Insights