P-163 对航空工业工人进行定期医疗监督的意义

Hiba Ziedi, Ghada Bahri, Mariem Mersni, Najla Mechergui, Dorra Brahim, Hanene Ben Said, Imen Youssef, Nizar Ladhari
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摘要

引言 航空工业(AI)为成千上万的工人提供了就业机会,他们面临着各种职业危害。基于定期医疗监测(PMS)的医疗预防至关重要。我们的研究旨在确定 PMS 对 AI 员工的价值。方法 这是一项描述性横断面研究,研究对象是在 2023 年 1 月 1 日至 7 月 30 日期间到职业病理科就诊的人工智能公司员工。结果 在研究期间,共有 80 名员工就诊。平均年龄为(34±6)岁,性别比为 1.66。最常见的职称是质量控制员(35%)和物流员(17%)。工龄中位数为 5 [2; 9]年。报告的职业限制是姿势限制(57.1%),其次是接触有机溶剂(28.6%)。33.2%的员工佩戴了个人防护设备。30%的员工视力异常。23.6%的病例存在生物异常。83%的员工被宣布适合继续从事正常的职业活动。有两名员工需要调整工作岗位。在 17% 的病例中,根据健康规则和生物监测结果做出了是否适合工作的决定。讨论 人工智能员工是一个没有风险因素的年轻群体。他们暴露于包括化学品和噪音在内的职业危害中。因此需要进行不同的调查。结论 PMS 可以为这一年轻群体的预防和整体健康促进做出重大贡献。
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P-163 THE INTEREST OF PERIODIC MEDICAL SURVEILLANCE FOR WORKERS IN THE AERONAUTICAL INDUSTRY
Introduction The aeronautical industry (AI) provides employment for thousands of workers who are exposed to a variety of occupational hazards. Medical prevention is essential, based on periodic medical surveillance (PMS). The aim of our study was to determine the value of PMS for AI employees. Methods This is a descriptive cross-sectional study that interested workers of an AI who consulted the Department of Occupational Pathology in the context of PMS during the period from 1 January to 30 July 2023. Results During the study period eighty employees were seen. The mean age was 34±6 years with a sex ratio of 1.66. The most common job titles were quality controller (35%) and logistics agent (17%). The median job seniority was 5 [2; 9] years. The occupational constraints reported were postural constraints (57.1%), followed by exposure to organic solvents (28.6%). Personal protective equipment was worn by 33.2% of employees. Vision abnormalities were detected in 30% of employees. Biological abnormalities were noted in 23.6% of cases. Eighty-three per cent of employees were declared fit to continue their usual professional activity. A modified workstation was indicated for two workers. A decision on fitness to work, with compliance health rules and biological monitoring, was taken in 17% of cases. Discussion AI employees represent a young population with no risk factors. They are exposed to occupational hazards, including chemicals and noise. Hence the need for different investigations. Conclusion PMS can make a major contribution to prevention in this young population and health promotion overall.
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