Erkal Sibel, Gerberich Susan Goodwin, Ryan Andrew D, Renier Colleen M, Alexander Bruce H
Department of Family and Consumer Sciences, Hacettepe University, Ankara, Turkey.
J Safety Res. 2008;39(4):351-63. doi: 10.1016/j.jsr.2008.03.002. Epub 2008 Jul 14.
While agricultural injury has been identified among the major causes of occupational injury mortality and morbidity, data have been limited pertinent to the magnitude, consequences, and potential risk factors for animal-related injuries -- a major source of morbidity among agricultural operations.
Demographics, exposure, and injury data were collected for 1999 and 2001 among agricultural households in a five-state region. Causal models facilitated survey design, data analyses, and interpretation of results; directed acyclic graphs guided multivariate modeling.
From 7,420 households (84% response of eligible), a total of 5,045 injury events were reported; 1,016 (20.1%) were animal-related. Multivariate analyses revealed increased risks for those <20 years; residents of all states compared to Minnesota; all age groups compared to 0-4 years; >0 hours worked; and prior agricultural injury history. For those 20+ years, increased risks were identified for: South Dakota residents; males; >0 hours worked; and prior agricultural injury history. For those cases <20 and 20+ years of age, 58% and 46%, respectively, resulted in lost work time on their agricultural operations (31% and 50%, one week or more).
Animal-related injury has a major impact on the agricultural industry. Results serve as a basis for interventions and further research.
The impact of animal-related injuries on the agricultural industry appears significant; among age groups <20 and 20+, 85% and 82%, respectively, had some resulting restriction. For all events combined, 29% and 30%, respectively, involved restriction from one week to 3+ months; 12% and 15% involved restriction for one month or more. Among those <20 and 20+ years of age, 58% and 46%, respectively, lost work time on their own agricultural operation as a result of injuries associated with their own operation; 22% and 15% lost one week or more. Moreover, of the non-agriculture-related injuries, 31% and 50% resulted in lost work time on their own operation; 15% and 28%, respectively, lost one week or more. Restrictions such as these can affect the productivity of the operation, resulting in financial impacts, especially on small operations that have few people to manage the required tasks.
虽然农业伤害已被确认为职业伤害死亡率和发病率的主要原因之一,但与动物相关伤害的规模、后果及潜在风险因素相关的数据却很有限,而动物相关伤害是农业生产中发病的一个主要来源。
收集了1999年和2001年五个州地区农业家庭的人口统计学、暴露情况和伤害数据。因果模型有助于调查设计、数据分析及结果解读;有向无环图指导多变量建模。
在7420户家庭(符合条件家庭的84%做出回应)中,共报告了5045起伤害事件;其中1016起(20.1%)与动物相关。多变量分析显示,20岁以下人群、与明尼苏达州相比其他各州的居民、所有年龄组与0至4岁年龄组相比、工作时长大于0小时以及有农业伤害史的人群,受伤风险增加。对于20岁及以上人群,南达科他州居民、男性、工作时长大于0小时以及有农业伤害史的人群,受伤风险增加。对于20岁以下和20岁及以上的受伤案例,分别有58%和46%导致其农业生产活动误工(31%和50%误工一周或更长时间)。
与动物相关的伤害对农业产业有重大影响。研究结果为干预措施和进一步研究提供了依据。
与动物相关的伤害对农业产业的影响似乎很大;在20岁以下和20岁及以上年龄组中,分别有85%和82%的人受到了一定限制。对于所有伤害事件,分别有29%和30%的事件导致误工一周至三个多月;12%和15%的事件导致误工一个月或更长时间。在20岁以下和20岁及以上年龄组中,分别有58%和46%的人因自身农业生产活动中的伤害而误工;22%和15%的人误工一周或更长时间。此外,在与农业无关的伤害中,分别有31%和50%的事件导致其自身生产活动误工;分别有15%和28%的人误工一周或更长时间。这些限制会影响生产活动的生产力,从而产生经济影响,尤其是对人力较少难以完成所需任务的小农场而言。