Reiner Anne M, Gerberich Susan Goodwin, Ryan Andrew D, Mandel Jeffrey
HealthPartners Occupational and Environmental Medicine, Saint Paul, Minnesota and University of Minnesota School of Public Health, Division of Environmental Health Sciences (Dr Reiner); Midwest Center for Occupational Health and Safety Education and Research Center and Regional Injury Prevention Research Center, Division of Environmental Health Sciences, School of Public Health, University of Minnesota (Dr Gerberich and Mr Ryan); and Occupational and Environmental Medicine Program, Midwest Center for Occupational Health and Safety Education and Research Center, University of Minnesota School of Public Health, Division of Environmental Health Sciences, Minneapolis (Dr Mandel).
J Occup Environ Med. 2016 Feb;58(2):154-61. doi: 10.1097/JOM.0000000000000584.
High agricultural injury related mortality and morbidity rates persist. This study addressed a knowledge gap regarding large machinery-related injury magnitude, consequences, and risk factors.
From randomly selected Midwestern agricultural operations in 1999 and 2001, 7420 eligible households participated. Demographic, exposure, and injury data collected for four 6-month periods used a computer-assisted telephone interview. An a priori causal model enabled survey development, data analysis, and interpretation. Directed acyclic graphs, developed from this model, facilitated potential confounder identification for specific exposures in multivariate analyses.
The injury rate was 12.82 events per 1000 persons per year. Increased risk was associated with male gender, increasing age, state of residence, history of prior injury, and increasing hours worked per week.
Large machinery-related agricultural injuries can result in significant consequences. Associated increased injury risks require further investigation and targeting of relevant interventions.
与农业伤害相关的高死亡率和发病率持续存在。本研究填补了有关大型机械相关伤害的严重程度、后果和风险因素方面的知识空白。
1999年和2001年从随机选取的中西部农业作业中，有7420户符合条件的家庭参与。在四个为期6个月的时间段内收集的人口统计学、暴露情况和伤害数据采用计算机辅助电话访谈。一个先验因果模型用于调查的开展、数据分析和解释。基于该模型开发的有向无环图有助于在多变量分析中识别特定暴露的潜在混杂因素。
伤害发生率为每年每1000人中有12.82起事件。风险增加与男性性别、年龄增长、居住州、既往受伤史以及每周工作时长增加有关。
与大型机械相关的农业伤害可能会导致严重后果。相关的伤害风险增加需要进一步调查并针对相关干预措施。
