Day L, Voaklander D, Sim M, Wolfe R, Langley J, Dosman J, Hagel L, Ozanne-Smith J
Monash University, Melbourne, Australia.
Occup Environ Med. 2009 May;66(5):312-8. doi: 10.1136/oem.2008.040808. Epub 2008 Dec 18.
To identify risk factors for serious farm work related injury among men.
A case-control study was conducted in Victoria, Australia. Eligible cases (n = 252) were males aged > or =16 years injured while working on a farm and scoring 2 or higher on the Abbreviated Injury Scale. Non-fatal injury cases were identified on presentation to hospital. Fatal cases (next of kin) were recruited via the Coroner's Office. Two age-matched controls per case were recruited by telephone. Data were collected with a structured telephone questionnaire. Logistic regression was used to compare risk factors between cases and controls, adjusting for design factors and average weekly hours worked.
The most common external causes of injury were machinery (26%), falls (19%), transport (18%), animals (17%) and being struck by an object (11%). Increased injury risk was observed for being an employee/contractor (odds ratio 1.8, 95% CI 1.2 to 2.7), not having attended farm training courses (1.5, 95% CI 1.0 to 2.1), absence of roll-over protective structures on all/almost all tractors (2.5, 95% CI 1.7 to 3.8), absence of personal protective equipment for chemical use (4.7, 95% CI 1.6 to 13.9) and a low average annual farm income of AUD$5000 or less (2.7, 95% CI 1.3 to 5.6). Decreased injury risk was observed for several health related characteristics and some farm characteristics.
We identified some risk factors possibly relevant to farm injury prevention programs. However, other factors were not associated with farm work injury suggesting these may not be as important as previously hypothesised.
确定男性中与农场工作相关的严重伤害的风险因素。
在澳大利亚维多利亚州进行了一项病例对照研究。符合条件的病例（n = 252）为年龄≥16岁、在农场工作时受伤且在简略损伤量表上得分≥2分的男性。非致命伤病例在入院时确定。致命病例（近亲）通过验尸官办公室招募。每个病例通过电话招募两名年龄匹配的对照。通过结构化电话问卷收集数据。使用逻辑回归比较病例组和对照组之间的风险因素，并对设计因素和平均每周工作小时数进行调整。
最常见的外部伤害原因是机械（26%）、跌倒（19%）、交通（18%）、动物（17%）和物体打击（11%）。观察到作为雇员/承包商受伤风险增加（优势比1.8，95%可信区间1.2至2.7）、未参加农场培训课程（1.5，95%可信区间1.0至2.1）、所有/几乎所有拖拉机上没有翻车保护结构（2.5，95%可信区间1.7至3.8）、没有化学用品个人防护装备（4.7，95%可信区间1.6至13.9）以及农场年平均收入低至5000澳元或以下（2.7，95%可信区间1.3至5.6）。对于一些与健康相关的特征和一些农场特征，观察到受伤风险降低。
我们确定了一些可能与农场伤害预防计划相关的风险因素。然而，其他因素与农场工作伤害无关，表明这些因素可能不像之前假设的那么重要。
