Mohammadrezaei Mohammad, Meredith David, McNamara John
Rural Economy Development Programme, Teagasc, Dublin, Ireland.
Teagasc-Agriculture and Food Development Authority, Head Office, Oak Park, Carlow, Ireland.
J Agromedicine. 2023 Apr;28(2):277-287. doi: 10.1080/1059924X.2022.2116138. Epub 2022 Aug 27.
The study seeks to enhance understanding of the complex nature of fatal farm injuries and thereby support the development of targeted safety messages or interventions. The research analyses fatal farm injuries surveillance data collected by the Health and Safety Authority (Ireland) for the period 2004-2018. Utilizing Non-Linear Canonical Correlation Analysis (NLCCA) to identify similarities and differences between 274 fatal injuries, multiple interactions and correlations between two sets of variables were identified. The analysis identified two major patterns of injury. The first relates to older farmers (60+) who were killed due to being struck by an object in motion, i.e. a tractor or machine. These injuries occurred mainly during the summer or winter between 13:00 and 18:00 in the Southern-Eastern regions. The second pattern also relates to older farmers, however these fatalities are associated with beef production and the primary cause of injury was being kicked or crushed by livestock. These injuries commonly occur in the Border, Midland, and Western regions where fatalities are prevalent during spring and outside of normal working hours. Assessing interactions between variables demonstrates to whom, how, when, and where fatal injuries affect different groups within the farm population. These findings provide regulators and farm safety stakeholders with key insights into background characteristics of fatal injuries including type of enterprise, time of day, season, and regional location that should be used to develop safety awareness, training, and targeted interventions to at-risk populations.
该研究旨在加深对致命农场伤害复杂性质的理解,从而支持制定有针对性的安全信息或干预措施。该研究分析了爱尔兰健康与安全管理局收集的2004年至2018年期间的致命农场伤害监测数据。利用非线性典型相关分析(NLCCA)来识别274起致命伤害之间的异同,确定了两组变量之间的多种相互作用和相关性。分析确定了两种主要的伤害模式。第一种模式涉及60岁及以上的老年农民,他们因被运动中的物体(即拖拉机或机器)撞击而死亡。这些伤害主要发生在东南部地区的夏季或冬季的13:00至18:00之间。第二种模式也与老年农民有关,然而这些死亡与牛肉生产有关,主要伤害原因是被牲畜踢或挤压。这些伤害通常发生在边境、中部和西部地区,这些地区在春季和正常工作时间之外死亡人数较多。评估变量之间的相互作用表明致命伤害对农场人口中不同群体的影响对象、方式、时间和地点。这些发现为监管机构和农场安全利益相关者提供了关于致命伤害背景特征的关键见解,包括企业类型、一天中的时间、季节和区域位置,这些信息应用于提高对危险人群的安全意识、培训和制定有针对性的干预措施。