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Obstructive Sleep Apnea OSA as a Cause Of Resistant Fatigue in the Safety Sensitive Workforce

机译:阻塞性睡眠呼吸暂停OSA作为安全敏感乐队中耐疲劳的原因

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Objectives/Scope: Fatigue is a known contributor to accidents. The potential for fatigue-related accidents also exists in the oil and energy industry. Fatigue risk management systems commonly involve review and adjustment of employee rosters and job functions to assist employees with getting rest based on their work demands. Although this approach is reasonable, it assumes that by giving the employee the ability to rest, that he/she will return refreshed. Certain medical conditions may inhibit an employee's ability to rest. Obstructive sleep apnea (OSA) is a medical condition where the patient has an airway obstruction which occurs when muscles in the upper airway relax while sleeping. This obstruction forces them to awaken, and if untreated, may lead to adverse medical conditions. For these patients, hours of work may not correlate as well with level of fatigue. Although there are many factors for OSA, the one most relevant for this abstract is Body Mass Index (BMI). In the adult population, OSA is estimated to be approximately 25% to 45% higher in obese subjects. The odds of having OSA increases as BMI rises and for individuals with a BMI of >35. Method, Procedures, Process: We will describe risk factors for OSA, treatment of the condition, as well as methods to reduce fatigue related risk. The discussion will include key components of a medical screening program as well as health and wellness programming that can be considered in parallel with any Fatigue Risk Management System. Results, Observations, Conclusions: Biometric data can be utilized to help predict the risk of fatigue related accidents in the workplace. By addressing the risks and providing solutions these incidents may decrease. Novel/Additive Information: We will explore current OSA screening criteria, work hours limitations, and health and wellness programs as they relate to reducing risk. Most importantly, we will discuss a significant shortcoming with the identification of high risk individuals and an easy approach to help mitigate this risk.
机译:目标/范围:疲劳是事故的已知贡献者。石油和能源行业也存在与疲劳有关的事故的潜力。疲劳风险管理系统通常涉及审查和调整员工名单和工作职能,以协助员工根据其工作需求进行休息。虽然这种方法是合理的,但它假设通过让员工休息的能力,他/她将恢复刷新。某些医疗条件可能会抑制员工的休息能力。阻塞性睡眠呼吸暂停(OSA)是患者有气道阻塞的医疗状况,当睡觉时上空气道的肌肉放松时发生。这种障碍迫使他们唤醒,如果未经治疗,可能导致医疗状况不利。对于这些患者,工作时间可能与疲劳水平也不相关。虽然OSA有许多因素,但对于这个摘要最相关的因素是体重指数(BMI)。在成年人口中,OSA估计在肥胖受试者中约为25%至45%。随着BMI升起和为BMI的个人升高,OSA的几率增加了。方法,程序,过程:我们将描述OSA的风险因素,治疗病症,以及降低疲劳相关风险的方法。讨论将包括医疗筛查计划的关键组成部分以及可以与任何疲劳风险管理系统并行考虑的健康和健康编程。结果,观察结论:生物识别数据可用于帮助预测工作场所疲劳相关事故的风险。通过解决风险和提供解决方案,这些事件可能会降低。新颖/添加剂信息:我们将探索当前的OSA筛选标准,工作时间限制和健康和健康计划,因为它们有关降低风险。最重要的是,我们将讨论一个重要的缺点,识别高风险个人和一种简单的方法,以帮助减轻这种风险。

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