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Effect of resiliency and age on musculoskeletal injuries and lost workdays in emergency medical service personnel
Affiliation:1. Occupational Medicine, Epidemiology and Prevention, Northwell Health, Hofstra-Northwell School of Medicine, 175 Community Drive, 2nd floor Long Island, New York, 11021, USA;2. Northwell Health, 183 Marcus Avenue, New Hyde Park, New York, 11040, USA;3. Biostatistics Unit, Feinstein Institute of Medical Research, Northwell Health, 125 Community Drive, Great Neck, NY, 11021, USA;4. Occupational Medicine, Epidemiology & Prevention, Northwell Health, Donald & Barbara Zucker School of Medicine at Hofstra/Northwell, 175 Community Drive, 2nd floor, Great Neck, NY, 11021, USA;5. Division of Environmental Health Sciences, School of Public Health University of Minnesota, 420 Delaware St S MMC 807 Mayo, Minneapolis, MN, 55455, USA;1. Department of Industrial Engineering and Management, National Taipei University of Technology (Taipei Tech), 1, Sec. 3, Zhongxiao E. Rd., Taipei, 10608, Taiwan;2. Department of Health Sciences and Technology, ETH Zurich, Scheuchzerstrasse 7, 8092, Zurich, Switzerland;1. Intelligent Manufacturing Key Laboratory of Ministry of Education, Shantou University, Shantou, China;2. Department of Engineering Design, MIT Academy of Engineering (MAE), Pune, MH, 412105, India;3. Department of Mechanical Engineering, MIT Academy of Engineering (MAE), Pune, MH, 412105, India;4. Department of Design, Indian Institute of Technology (IIT), Guwahati, India;5. Shantou Ruixiang Mould Co. Ltd., Jinping S&T Park, Chaoshan Road, Shantou, 515064, China
Abstract:Emergency medical service (EMS) personnel are highly skilled health care professionals who often provide lifesaving clinical care to patients. Paradoxically, they may be repeatedly exposed to a unique set of occupational hazards that could endanger their own health. This cross-sectional study sought to examine the relation between resiliency and musculoskeletal injuries (MSIs) and between resiliency and lost workdays due to MSIs, and explore whether age modifies these associations. Multivariable Poisson main effects regression models showed that resiliency had a protective effect against MSIs, but not lost workdays. In the unadjusted regression model to evaluate the relation between resiliency and age, results suggested that no differences in distributions existed between younger and older EMS personnel and resiliency. However, given the same unit increase in resiliency, findings from multivariable Poisson interaction regression models indicated that older workers had a higher prevalence of MSIs and lost workdays than younger workers. Results from main effects models may reflect diverging routes on a pathophysiological pathway, in which resiliency acts as a prognostic factor for MSIs but not lost workdays. Findings might also indicate the association between resiliency, and MSIs and lost workdays varies by age.Relevance to industryThe largest growth of labor in the US is expected to occur in the oldest segments of the population. While older workers may offer more experience and show similar resiliency to younger workers, they might be more vulnerable to individual risk factors and occupational exposures. If management wants to retain older workers as assets, they should design the work environment to match the capabilities of all workers.
Keywords:Older workers  Resiliency  Emergency medical services  Musculoskeletal injury
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