Assessment of Tractor and Agricultural Machine Accidents Happened in Agricultural Enterprises of Çumra Town of Konya Province

Alçayır, Aykut; Hacıseferoğulları, Haydar

doi:10.15316/sjafs.2017.51

Cited by 2 publications

(2 citation statements)

References 4 publications

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“…In India, injuries occurred more frequently in relation to tractors and tractor-operated implements (31%), animal-drawn implements (22%), threshers (14%), and electric motors or pump sets (12%), while tractors were reported to account for 44% of the total occupational deaths among farmers [ 16 ]. In Konya, Turkey, tractors accounted for the most frequent cases of injury related to agricultural machines (41.9%), which was followed by trailers and threshers [ 17 ]. In the Central Anatolian region of Turkey, tractors, haymakers, and augers accounted, in that order, for most machine-related injuries requiring and upon visits to hospital emergency rooms [ 18 ].…”

Section: Discussionmentioning

confidence: 99%

“…Despite prior efforts [ 9 , 10 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 ] to reveal the magnitude and characteristics of agricultural machine-related injuries, there have been limitations in estimating rates of and comparing the risk of agricultural machine injury by machine type. These studies usually presented the proportions of injuries by machine type and characteristics of injury events.…”

Section: Introductionmentioning

confidence: 99%

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Incidence Rates of Agricultural Machine-Related Injuries in South Korea

Kim

Lee

et al. 2022

IJERPH

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Although agricultural machines are the leading cause of agricultural injury, there are few comparative studies on the injury risks associated with different types of agricultural machines. Therefore, we compared the injury rates and risks of various agricultural machine types in South Korea using data from comprehensive agricultural machine insurance, which is partially paid for by the government. Specifically, we conducted a retrospective cross-sectional study using 2014–2019 data on subscriptions and 2014–2020 data on compensation for personal bodily injury from comprehensive agricultural machine-related insurance coverage. We calculated the agricultural machine-related injury rate for each machine type and analyzed the factors affecting the injury using logistic regression. Between 2014 and 2020, 2061 recorded agricultural machine-related injuries occurred for 338,418 comprehensive agricultural machinery insurance subscriptions. The annual average number of injuries per 1000 agricultural machines was 6.1, showing an annual increase. Multivariate logistic regression analysis revealed that the risk of injury increased with age, which was 2.3 times higher for tillers and power carts than for tractors. There is thus a need for legal safety measures, particularly related to high-risk agricultural machines (e.g., power tillers) and individuals (e.g., older drivers), as well as specific driving licenses and regular inspections of agricultural machinery.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Incidence Rates of Agricultural Machine-Related Injuries in South Korea

Kim

Lee

et al. 2022

IJERPH

View full text Add to dashboard Cite

show abstract

Occupational health and safety among farmers: a comprehensive study in Central Anatolia, Turkey

Ekmekci,

Yaman

2024

BMC Public Health

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Background The agricultural sector is vital for food production, economic stability, and environmental sustainability. However, it also poses significant occupational health and safety challenges due to factors such as heavy machinery usage, exposure to chemicals, and challenging environmental conditions. Method This cross-sectional study involved 366 farmers affiliated with the Yozgat Chamber of Agriculture in Turkey. Data on demographic characteristics, occupational factors, and work accidents were collected with interview technique between May and August 2023. While descriptive data were expressed as categories with numbers and percentages, chi-square analysis was used to compare the obtained answers with the status of having or not having a work accident. Binary logistic regression analysis was used to estimate the effect of independent variables on the probability of having a work accident. Results The study revealed that 33.0% of farmers experienced work accidents in the last year. Most accidents occurred during work shifts (28.8%) and in the fall season (34.8%). Factors contributing to accidents included lack of personal protective equipment (51.5%) and transportation-related issues (36.4%). Logistic regression analysis indicated that working more than 8 h daily, working 5 days or more per week, and using bus/minibus transportation significantly increased the likelihood of experiencing work accidents. Conclusion Findings underscore the importance of implementing effective occupational health and safety measures, including proper training, provision of personal protective equipment, and improving transportation safety. Addressing these issues can enhance the well-being of agricultural workers and contribute to a safer working environment in the sector. Supplementary Information The online version contains supplementary material available at 10.1186/s12889-024-20249-7.

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Assessment of Tractor and Agricultural Machine Accidents Happened in Agricultural Enterprises of Çumra Town of Konya Province

Cited by 2 publications

References 4 publications

Incidence Rates of Agricultural Machine-Related Injuries in South Korea

Incidence Rates of Agricultural Machine-Related Injuries in South Korea

Occupational health and safety among farmers: a comprehensive study in Central Anatolia, Turkey

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