Caffaro Federica, Micheletti Cremasco Margherita, Roccato Michele, Cavallo Eugenio
a Institute for Agricultural and Earthmoving Machines (IMAMOTER) , National Research Council (CNR) , Torino , Italy.
b Department of Life Sciences and Systems Biology , University of Torino , Torino , Italy.
Int J Occup Environ Health. 2017 Jan;23(1):52-59. doi: 10.1080/10773525.2017.1404220. Epub 2017 Nov 18.
Agriculture is among the most hazardous productive sectors, and farm machinery is a major source of injury. In the present study, a mediated model was used to test the role played by workers' characteristics, work environment factors, and near misses in predicting agricultural machinery-related accidents in a sample of Italian users (n = 290). Hours worked per week (via the mediation of an adverse work environment) showed a positive association and years of work experience (via the mediation of risk perception) showed a negative association with the probability of being involved in a near miss, which in turn showed a positive association with the probability of being involved in a machinery-related accident. Implications for tailored preventive interventions are discussed.
农业是最具危险性的生产部门之一,而农业机械是受伤的主要来源。在本研究中,采用中介模型来检验工人特征、工作环境因素和未遂事故在预测意大利使用者样本(n = 290)中与农业机械相关事故时所起的作用。每周工作时长(通过不良工作环境的中介作用)与未遂事故发生概率呈正相关,工作年限(通过风险认知的中介作用)与未遂事故发生概率呈负相关,而未遂事故发生概率又与机械相关事故发生概率呈正相关。文中讨论了针对性预防干预措施的意义。