Zhou C, Roseman J M
Injury Control Research Center, University of Alabama at Birmingham.
Am J Ind Med. 1994 Mar;25(3):385-402. doi: 10.1002/ajim.4700250307.
A population-based study of the occurrence of agricultural injuries during the previous year was conducted in a simple random sample of 1,000 farm operators in Alabama in 1991. The participation rate was 86.2%. The cumulative 1-year incidence was 9.9% (95% CI = 7.7-12.1), based on the number of injuries, and 7.8% (95% CI = 5.8-9.8), based on the number of farmers injured. Limbs were the body parts most frequently injured: fingers (10.7%), hands or wrists (10.7%), and legs (8.9%). The leading external causes were machinery (28.6%), falls (23.2%), and animals (12.5%). There was a higher injury frequency at the end of the week, with a Saturday peak. Seasonal pattern of injury displayed a bimodal curve, one peak in spring, and a higher peak in early fall in September. The most risky farm types were forestry and dairy. The factors predictive of increased injury risk in multiple logistic regression included younger age, farm ownership, greater percent of working time spent on farming, more alcohol consumed, and prior residual injury. The results provide some indications for formulating agricultural injury control programs and for future research.
1991年，在阿拉巴马州对1000名农场经营者进行简单随机抽样，开展了一项基于人群的上一年农业伤害发生情况的研究。参与率为86.2%。基于伤害数量，1年累计发病率为9.9%（95%置信区间=7.7-12.1）；基于受伤农民数量，发病率为7.8%（95%置信区间=5.8-9.8）。四肢是最常受伤的身体部位：手指（10.7%）、手或手腕（10.7%）以及腿部（8.9%）。主要外部致伤原因是机械（28.6%）、跌倒（23.2%）和动物（12.5%）。周末结束时伤害频率较高，周六达到峰值。伤害的季节模式呈双峰曲线，一个峰值在春季，9月初秋时出现更高峰值。风险最高的农场类型是林业和奶牛业。多因素逻辑回归中预测伤害风险增加的因素包括年龄较小、农场所有权、从事农业工作时间占比更大、饮酒量更多以及既往残留损伤。研究结果为制定农业伤害控制项目及未来研究提供了一些参考依据。
