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DOI 10.1002/ajim.23443

Медицинская библиотека · American journal of industrial medicine · 2022

Occupational health surveillance and detection of emerging occupational diseases among Taiwan farmers, through analysis of national-based farmers' and medico-administrative databases.

Wang Chung-Ching, Lin Gwan-Ling, Lin Yu-Jen, Chen Wei-Liang, Wu Wei-Te

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Аннотация

OBJECTIVES

The purpose of this study was to identify occupational injuries and diseases associated with agriculture in Asia, to provide a reference for prevention and hypotheses for future research.

METHODS

We matched data on agricultural workers (n = 963,124) enrolled in Taiwan's national Farmers Health Insurance since its inception in 1989, to general population controls of the same age, gender, and township. The study population was linked to the National Health Insurance Research Database from 2001 to 2016 for inpatient cases. Logistic regression was used to assess odds ratios for outcomes.

RESULTS

Farmers had 2.76 times the risk of mycotic corneal ulcer (95% CI: 1.96-3.87) and 1.65 times the risk of typhus fever infections (95% CI: 1.47-1.85) compared to the general population. The odds ratio for poisonous animal bites was 2.22 (95% CI: 2.07-2.38), for falling into a storm drain or manhole was 2.04 (95% CI: 1.30-3.20), and for toxic effects from pesticides was 2.01 (95% CI: 1.92-2.11). The toxic effects of organophosphate and carbamate insecticides were correlated with the cultivation of rice, fruit trees, and flowers. Q fever and motorcycle accidents were associated with fruit tree cultivation.

CONCLUSIONS

The study identifies agricultural occupational injuries and diseases that may inform occupational health policy and the development of prevention priorities to prevent occupational hazards for farmers.

Для цитирования: Wang Chung-Ching, Lin Gwan-Ling, Lin Yu-Jen, Chen Wei-Liang, Wu Wei-Te. Occupational health surveillance and detection of emerging occupational diseases among Taiwan farmers, through analysis of national-based farmers' and medico-administrative databases.. American journal of industrial medicine. 2022. DOI: 10.1002/ajim.23443.

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