A Study on the Farmers’ Safety Management Levels according to Their Pesticide Exposure by Farming Type in South Korea

Choi, Dongphil; Chae, Hye-Seon; Kim, Hyo-Cher; Lee, Kyung-Suk; Choi, Woun-Jong; gyeong, Lee hyeon; Kim, Kyeong-Su

doi:10.7856/kjcls.2018.29.4.617

Cited by 7 publications

(2 citation statements)

References 13 publications

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“…Since the impact of occupational pesticide exposure on myeloid leukemia has not been clearly established, we suggest that large-scale studies on the relationship between pesticide use and cancer, including myeloid leukemia, should be conducted. Lee et al [10] 104 (male) 24.17 ± 9.57 10.46 ± 6.68 Kwon et al [11] 285 [12] 7130 (male) 2.16 ± 0.02 10.62 ± 0.13 21.73 ± 0.41 3879 (female) 2.01 ± 0.03 10.97 ± 0.18 21.21 ± 0.54 Song et al [13] 257 (total) 25. 27.5 ± 11.5 6.7 ± 2.2 35.9 ± 34.4 Lee et al [14] 755 (dry field) 2.4 ± 3.4 7.3 ± 9.4 8.8 ± 13.4…”

Section: Discussionmentioning

confidence: 99%

“…Many domestic studies that have been previously published have investigated the health effects and exposure risks of pesticides using indirect pesticide exposure index calculated through pesticide spraying years, annual pesticide spraying days, pesticide spraying times per once, and annual pesticide spraying times. [10][11][12][13][14] Most commonly used overseas is the method of calculating exposure index developed by Agricultural Health Study, [15] which calculates the cumulative exposure using the following equation:…”

Section: Discussionmentioning

confidence: 99%

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Acute myeloid leukemia in a farmer with long term exposure to pesticides in Korea

Jeon¹,

Ha²,

Kim³

et al. 2022

Medicine: Case Reports and Study Protocols

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Rationale: Pesticides are chemical substances used to kill harmful insects, small animals, wild plants, and other unwanted organisms. It has not been clearly demonstrated in myeloid malignancies, particularly acute myeloid leukemia.Patient concerns: A 46-year-old male farmer visited the hospital with chief complaints of multiple purpuric macules on the left upper chest to both leg areas. The patient had been farming lotus roots for 20 years and was exposed to a substantial amount of pesticide without proper personal protective equipment.Diagnoses: The patient was diagnosed with acute myeloid leukemia by bone marrow biopsy.Intervention: The patient received induction chemotherapy with idarubicin and cytarabine. He has undergone consolidation chemotherapy two more times.Outcomes: He had neutropenic fever as a complication after chemotherapy, but he is doing well with no other symptoms. There has been no abnormality in blood tests since the consolidation therapy, and it has been well maintained in remission. Conclusion:This case report suggests that acute myeloid leukemia is associated with occupational pesticide exposure, along with a review of the literature. The impact of occupational pesticide exposure on myeloid leukemia has not been clearly established, and large-scale studies on the relationship between pesticide use and cancer, including myeloid leukemia, should be conducted.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Acute myeloid leukemia in a farmer with long term exposure to pesticides in Korea

Jeon¹,

Ha²,

Kim³

et al. 2022

Medicine: Case Reports and Study Protocols

View full text Add to dashboard Cite

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Heat strain while wearing pesticide protective clothing in hot environments: Effects of textile physical properties and ambient humidity

Kim

Lee

2023

International Journal of Industrial Ergonomics

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Developing a deep learning model for the simulation of micro-pollutants in a watershed

Yun

Abbas

Jeon

et al. 2021

Journal of Cleaner Production

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In recent years, as agricultural activities and types of crops have become diverse, the occurrence of micro-pollutants has been reported more frequently in rural areas. These pollutants have detrimental effects on human health and ecological systems; thus, it is important to manage and monitor their presence in the environment. The modeling approach could be an effective way to understand and manage these pollutants. This study predicts the concentrations of micro-pollutants (MPs) using deep learning (DL) models, and the results are then compared with simulation results obtained from the soil water assessment tool (SWAT) model. The SWAT model showed an unacceptable performance owing to the resulting negative NasheSutcliffe efficiency (NSE) values for the simulations. This may be caused by the limitations of SWAT, which pertains to adopting simplified equations to simulate micro-pollutants. In addition, the ambiguous plan of pesticide application increased the model uncertainty, thereby deteriorating the model result. Here, we developed two different DL models: long short-term memory (LSTM) and convolutional neural network (CNN). LSTM exhibited the highest model performance, with NSE values of 0.99 and 0.75 for the training and validation steps, respectively. In the multi-target MP model, the error decreased as the number of simulated pollutants increased. The simulation of the four pollutants had the highest error, while the six-target simulation had the lowest error. In conclusion, this study demonstrated that the LSTM model has the potential to improve the prediction of MPs in aquatic systems.

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A Study on the Farmers’ Safety Management Levels according to Their Pesticide Exposure by Farming Type in South Korea

Cited by 7 publications

References 13 publications

Acute myeloid leukemia in a farmer with long term exposure to pesticides in Korea

Acute myeloid leukemia in a farmer with long term exposure to pesticides in Korea

Heat strain while wearing pesticide protective clothing in hot environments: Effects of textile physical properties and ambient humidity

Developing a deep learning model for the simulation of micro-pollutants in a watershed

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