促进长途驾驶员健康的试点研究和累积风险框架

M. Fox, Teresa Penbrooke, Reza Farzaneh, Mariya Rahman, T. Ramani, J. Zietsman
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摘要

商业司机对经济复苏至关重要,但他们的工作使他们面临许多健康和安全隐患。改善驾驶员健康的研究应在了解复杂的职业环境和风险管理背景的情况下进行。我们介绍了一项关于驾驶员健康问题和行为的小型试点研究的结果,以说明人类健康风险评估和管理的概念和框架,这些概念和框架可能有助于驾驶员和其他工人健康研究的设计和翻译。这项试点研究使用了一种改编自国际体育活动问卷的工具,以及为美国南极项目娱乐和健康调查开发的临时社区需求评估,对卡车停靠站的18名长途卡车司机进行了调查。受访者的特征和健康问题反映了现有文献:大多数是患有肌肉骨骼和慢性健康状况的老年男性。身体活动最常见的两个障碍是缺乏时间和身体限制。应用累积风险评估和基于风险的决策框架,我们建议,通过雇主、卡车停靠站所有者及其社区的行动,可以改善这些临时工人的预防性健康管理机会。在研究设计中考虑在实施试点、累积风险评估和基于风险的决策方面的经验教训,可以促进综合研究,考虑多个健康领域的共同暴露、风险因素和缓解措施,为工人保护提供信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pilot study and cumulative risk framework to advance long-haul driver health
Commercial drivers are essential to the economic recovery, yet their work exposes them to many health and safety hazards. Research to improve driver health should be designed with an understanding of both the complex occupational environment and the risk management context. We present results from a small pilot study of driver health concerns and behaviors to illustrate concepts and frameworks from human health risk assessment and management that may assist in the design and translation of driver and other worker health research. The pilot study surveyed 18 long-haul truck drivers at a truck stop using an instrument adapted from the International Physical Activity Questionnaire and a transient community needs assessment developed for the US Antarctic Program Recreation and Wellness Survey. Respondents’ characteristics and health concerns reflect existing literature: mostly male of older age with musculoskeletal and chronic health conditions. The two most common barriers to physical activity were lack of time and physical limitations. Applying cumulative risk assessment and risk-based decision-making frameworks, we suggest that preventive health management opportunities can be improved for these transient workers through actions of employers, truck stop owners and their communities. Considering lessons learned in implementing the pilot, cumulative risk assessment, and risk-based decision making in research design can facilitate holistic research considering co-exposures, risk factors and mitigators across multiple domains of health to inform worker protection.
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