Occupational health issues in small-scale industries in Sri Lanka: An underreported burden

Epidemiology of work-related hand and wrist injuries in a referral center: A descriptive study

BACKGROUND

Occupational hand and wrist injuries (OHWIs) account for 25% of work-related accidents in low- and middle-income countries. In Colombia, more than 500000 occupational accidents occurred in 2021, and although the rate declined to less than 5% in 2020 and 2021, at least one in four accidents involved a hand or wrist injury.

AIM

To describe the OHWIs in workers seen at the emergency room at a second-level hospital in Colombia.

METHODS

An observational study was performed using data from workers who experienced OHWIs and attended a second-level hospital, between June, 2020 and May, 2021. The overall frequency of OHWIs, as well as their distribution by sociodemographic, clinical, and occupational variables, are described. Furthermore, association patterns between sex, anatomical area (fingers, hand, wrist), and type of job were analyzed by correspondence analysis (CA).

RESULTS

There were 2.101 workers treated for occupational accidents, 423 (20.3%) were cases of OHWIs, which mainly affected men (93.9%) with a median age of 31 years and who worked mainly in mining (75.9%). OHWIs were more common in the right upper extremity (55.3%) and comprised different types of injuries, such as contusion (42.1%), laceration (27.9%), fracture (18.7%), and crush injury (15.6%). They primarily affected the phalanges (95.2%), especially those of the first finger (25.7%). The CAs showed associations between the injured anatomical area and the worker's job that differed in men and women (explained variance > 90%).

CONCLUSION

One out of five workers who suffered occupational accidents in Cundinamarca, Columbia had an OHWI, affecting mainly males employed in mining. This occupational profile is likely to lead to prolonged rehabilitation, and permanent functional limitations. Our results might be useful for adjusting preventive measures in cluster risk groups.

Upper extremity musculoskeletal symptoms among Iranian hand-woven shoe workers

BACKGROUND: Studies have demonstrated that upper extremity musculoskeletal disorders (UEMSDs) are highly prevalent among weavers. In Iran, little information is available regarding the prevalence of MSDs and their causal risk factors among hand-woven shoe workers. This cross-sectional study aimed to determine the prevalence of UEMSDs and to identify risk factors associated with UEMSDs symptoms among 586 Iranian hand-woven shoe workers. METHODS: The data were collected using the Nordic Musculoskeletal Questionnaire and by direct observation of working postures via the Rapid Upper Limb Assessment (RULA) technique to determine ergonomic risks. RESULTS: The prevalence of MSDs symptoms was high among the hand-woven shoe workers. The mean RULA grand score of 6.3 indicated that in most cases the workers’ postures at their workstations needs to be investigated and changed immediately to prevent musculoskeletal injuries. The highest prevalence rates of MSDs were observed in the shoulders, wrists and arms. The result of multiple logistic regression modeling showed that risk factors associated with UEMSD symptoms were job experience, daily working hours, job satisfaction, working posture, work pressure, and discomfort at workstation, as well as individual factors, such as age, gender, BMI, material status, working conditions, education level, and lack of regular sport/physical activities. CONCLUSIONS: The findings of the present study emphasize that any interventional program in this industry has to focus on improving working conditions particularly by designing ergonomics-oriented workstations and hand tools.

Occupational hazards in medium and large scale industrial sectors in Sri Lanka: experience of a developing country

Objective

Occupational hazards is an area where many countries have begun to pay more emphasis as it affects the health of many particularly in developing countries. However, documented literature is scarce in this regard although occupational hazards are common in workplaces. The study was carried out with the objective of describing the physical hazards and control measures adopted in the formal medium and large-scale industrial sector in Sri Lanka.

Results

Of the 69 units of the 25 factories, physical hazards detected in the workplaces were; excessive noise (78.3%), poor light (58%), increased temperature (65.2%), and poor ventilation (68.1%). Over 50% of large machinery and 33% of medium-scale machinery were not adequately guarded. Nearly 41% of the machinery were difficult to operate, of them 36.2% had controls in positions which were hard to reach. Of safety measures adopted, only 34.8% had proper demarcation of areas with 28.9% displaying safety signs. Housekeeping was poor in 59.4% and less than 40% had safe storage of raw materials and end products.

Qualitative and quantitative differences between common occupational health risk assessment models in typical industries

OBJECTIVE

The differences in the methodologies of various occupational health risk assessment (OHRA) models have not been extensively reported. We aimed to understand the qualitative and quantitative differences between common OHRA models in typical industries.

METHODS

The Environmental Protection Agency (EPA), Australian, Romanian, Singaporean, International Council on Mining and Metals (ICMM), and the Control of Substances Hazardous to Health (COSHH) models were evaluated, and a theoretical framework was established for a comparative study.

RESULTS

Qualitative comparisons showed that each OHRA model had its own strengths and limitations, and exhibited a diverse distribution at different levels for each evaluation indicator. The Singaporean, COSHH, and EPA models had a much higher comprehensive advantage than the other models for all indicators. Quantitative comparisons demonstrated that these three models also had a stronger ability to distinguish the difference in risk ratios between different industries. The Singaporean model had the strongest correlation with the other models.

CONCLUSION

Each model possessed its own strengths and limitations depending on its unique methodological principles. Combining the EPA, Singaporean, and COSHH models might be advantageous for developing an OHRA strategy. More studies comparing multiple models in key industries are required.