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预测澳大利亚跳跃赛马比赛中骑师落马的因素。

Predictors of race-day jockey falls in jumps racing in Australia.

机构信息

Menzies Research Institute, University of Tasmania, Private Bag 23, Hobart TAS 7001, Australia.

出版信息

Accid Anal Prev. 2011 May;43(3):840-7. doi: 10.1016/j.aap.2010.11.003. Epub 2010 Dec 9.

Abstract

Thoroughbred jumps racing jockeys have a fall rate greater than their flat racing counterparts. Previous studies have focused on factors that contribute to falls by horses but, to date, there has not been a study of risk factors for falls to jockeys in jumps races. Data on race-day falls were extracted from stipendiary stewards reports lodged with Principal Racing Authorities following each race meeting. Denominator data were provided by Racing Information Services Australia on races conducted from August 2002 until July 2009. Univariable and multivariable analyses, estimating incidence rate ratios, were conducted using Poisson regression. In multivariable analysis in hurdle racing, important predictors of falls were higher club level, larger field size, greater prize money, provisionally licensed jockeys and older jockeys. There were significant interactions between jockey licence and prize money; jockey age and previous rides this meeting; race grade and race distance; horse age and field size; and club level and field size. In steeplechase racing, important predictors were type of jump with lowest fall rates in races over Mark III jumps compared to standard fences, provisionally licensed jockeys, jockeys having had previous rides at a meeting, and larger field size. There were significant interactions between the number of previous starts by the horse and field size; race distance and prize money; and race distance and previous rides this meeting. This study has identified factors for falls in jumps racing that could form the basis for targeted strategies to improve occupational health and safety standards.

摘要

赛马骑师在障碍赛马中的落马率高于平地赛马骑师。以往的研究主要集中在导致马匹落马的因素上,但迄今为止,还没有研究过障碍赛马中骑师落马的危险因素。比赛日落马的数据是从各赛马协会在每场比赛后提交的领薪裁判报告中提取的。赛马信息服务澳大利亚公司提供了 2002 年 8 月至 2009 年 7 月期间举行的比赛的分母数据。使用泊松回归进行单变量和多变量分析,估计发病率比。在障碍赛的多变量分析中,落马的重要预测因素是俱乐部级别较高、参赛马数量较多、奖金较高、临时执照骑师和年龄较大的骑师。骑师执照和奖金之间存在显著的相互作用;骑师年龄和本次比赛前的骑行次数之间;比赛等级和比赛距离之间;马的年龄和参赛马数量之间;以及俱乐部级别和参赛马数量之间。在障碍赛中,重要的预测因素是跳跃类型,与标准障碍物相比,Mark III 跳跃的比赛落马率最低,临时执照骑师、在本次比赛前有过骑行的骑师以及参赛马数量较多的比赛落马率也较低。马的前几次起跑次数和参赛马数量之间、比赛距离和奖金之间以及比赛距离和本次比赛前的骑行次数之间存在显著的相互作用。本研究确定了障碍赛马中落马的因素,这些因素可以为提高职业健康和安全标准制定有针对性的策略提供依据。

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