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韩国农民主要职业伤害的特征及预测因素。

Characteristics and predictors of major occupational injuries in Korean farmers.

作者信息

Lee Minji, Jung Wongeon, Choi Dongphil, Shin Yongsuk, Park Jinwoo, Youn Kanwoo

机构信息

Rural Development Administration, Jeonju, Korea (the Republic of).

Wonjin Institute for Occupational and Environmental Health, Seoul, Korea (the Republic of).

出版信息

Inj Prev. 2024 Nov 21. doi: 10.1136/ip-2023-045123.

DOI:10.1136/ip-2023-045123
PMID:39578053
Abstract

Farmers are exposed to various risks due to the nature of the agricultural environment, and occupational injuries occur consistently. Hence, this study aimed to investigate the characteristics and predictors of major non-fatal occupational injuries among farmers by analysing incidents of non-fatal occupational injuries resulting in at least 1 day off work using the Korean Agricultural Workers' Occupational Disease and Injury Survey data. Multivariate logistic regression was performed to identify the predictors of agricultural occupational injuries, and the results indicated that the risk for non-fatal injuries was higher among older individuals, individuals with pre-existing physical limitations and individuals who use agricultural machinery. The predictors were generally similar for most types of non-fatal injuries. By type of injuries, the risk for trip or slip was higher among women than men. The risk for injuries caused by excessive force or motion was higher among farmers doing rice farming, which is substantially mechanised, than field crop farmers or livestock farmers. The risk of falling from a height was higher among male orchard and greenhouse farmers. The risk of solo farm vehicle crash was higher among male farmers, older farmers, rice farmers, farmers with pre-existing physical limitations and farmers using agricultural machinery. The findings of this study may be useful for developing tailored policies and supportive projects for the Korean farmer population.

摘要

由于农业环境的性质,农民面临各种风险,职业伤害持续发生。因此,本研究旨在通过使用韩国农业工人职业病和伤害调查数据,分析导致至少1天缺勤的非致命职业伤害事件,来调查农民中主要非致命职业伤害的特征和预测因素。进行多变量逻辑回归以确定农业职业伤害的预测因素,结果表明,年龄较大的个体、有身体残疾的个体以及使用农业机械的个体发生非致命伤害的风险更高。大多数类型的非致命伤害的预测因素通常相似。按伤害类型划分,女性绊倒或滑倒的风险高于男性。在机械化程度较高的水稻种植农民中,因过度用力或运动导致受伤的风险高于大田作物农民或畜牧农民。男性果园和温室农民从高处坠落的风险更高。男性农民、老年农民、水稻种植农民、有身体残疾的农民以及使用农业机械的农民发生单人农用车辆碰撞的风险更高。本研究的结果可能有助于为韩国农民群体制定量身定制的政策和支持项目。

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