{"title":"A new look at the occupational fatigue challenge in the future of ergonomics research.","authors":"Neda Mahdavi, Iman Dianat","doi":"10.3233/WOR-240130","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Due to the negative effects of occupational fatigue on health, absenteeism, and economic cost it is essential to control and manage its risk factors effectively.</p><p><strong>Objective: </strong>This study seeks to draw researchers' attention to the research requirements concerning occupational fatigue.</p><p><strong>Methods: </strong>The study briefly explores the consequences of occupational fatigue and discusses tools for its assessment. It then addresses the challenge of integrating risk factors and identifying efficient interventions. Lastly, it emphasizes the importance of addressing occupational fatigue related to new technologies.</p><p><strong>Results: </strong>Wearable sensors, biomarkers in biological samples, and image processing are valuable tools for accurately assessing occupational fatigue. Artificial intelligence (AI) models can integrate multiple risk factors; while economic evaluations can help assess the effectiveness of control measures. Employers and researchers should be prepared to manage and monitor occupational fatigue resulting from interactions with new technologies.</p><p><strong>Conclusions: </strong>This commentary highlights the research gap in the field of occupational fatigue to better manage this phenomenon in today's evolving world.</p>","PeriodicalId":51373,"journal":{"name":"Work-A Journal of Prevention Assessment & Rehabilitation","volume":" ","pages":""},"PeriodicalIF":1.7000,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Work-A Journal of Prevention Assessment & Rehabilitation","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3233/WOR-240130","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Due to the negative effects of occupational fatigue on health, absenteeism, and economic cost it is essential to control and manage its risk factors effectively.
Objective: This study seeks to draw researchers' attention to the research requirements concerning occupational fatigue.
Methods: The study briefly explores the consequences of occupational fatigue and discusses tools for its assessment. It then addresses the challenge of integrating risk factors and identifying efficient interventions. Lastly, it emphasizes the importance of addressing occupational fatigue related to new technologies.
Results: Wearable sensors, biomarkers in biological samples, and image processing are valuable tools for accurately assessing occupational fatigue. Artificial intelligence (AI) models can integrate multiple risk factors; while economic evaluations can help assess the effectiveness of control measures. Employers and researchers should be prepared to manage and monitor occupational fatigue resulting from interactions with new technologies.
Conclusions: This commentary highlights the research gap in the field of occupational fatigue to better manage this phenomenon in today's evolving world.
期刊介绍:
WORK: A Journal of Prevention, Assessment & Rehabilitation is an interdisciplinary, international journal which publishes high quality peer-reviewed manuscripts covering the entire scope of the occupation of work. The journal''s subtitle has been deliberately laid out: The first goal is the prevention of illness, injury, and disability. When this goal is not achievable, the attention focuses on assessment to design client-centered intervention, rehabilitation, treatment, or controls that use scientific evidence to support best practice.