Affiliation:
1. Institute of Occupational and Social Medicine and Health Services Research, University Hospital Tübingen, Germany
Abstract
Objective To examine the effect of concurrent physical and cognitive demands as well as age on indicators of muscle fatigue at the wrist. Background There are few studies examining risk indicators for musculoskeletal disorders associated with work-related physical and cognitive demands that often occur simultaneously in the workplace. Methods Twenty-four gender-balanced older and 24 gender-balanced younger (mean age 60 and 23 years) participants performed four 30 min dual tasks. Tasks differed by the muscular load level during force tracking: 5% and 10% of maximum voluntary contraction force (MVC) and concurrent cognitive demands on the working memory: easy and difficult. Muscle fatigue was assessed by MVC decline and changes in surface electromyography (increased root mean square: RMS, decreased median frequency: MF) at the extensor digitorum (ED) and extensor carpi ulnaris (EU). Results A decline in MVC was found in all participants when tracking was performed at 10% MVC (mean ± SD: 137.9 ± 49.2 – 123.0 ± 45.3 N). Irrespective of age, muscular, or cognitive load, RMS increased (ED 12.3 ± 6.5 – 14.1 ± 7.0% MVE, EU 15.4 ± 7.6 – 16.9 ± 8.6% MVE) and MF decreased (ED 85.4 ± 13.6 – 83.2 ± 12.8 Hz, EU 107.2 ± 17.1 – 104.3 ± 16.7 Hz) in both muscles. However, changes in MF of EU tended to be more pronounced in the older group at higher cognitive and lower muscular load, without reaching statistical significance. Conclusion Maximum voluntary contraction indicated no interaction between muscle fatigue, cognitive load, or age. However, the tendencies toward altered muscle activity due to an increase in cognitive load and older age suggest muscular adaptations while maintaining tracking performance during the onset of fatigue signs in the sEMG signal. Application If the tendencies in muscle activity are confirmed by further studies, ergonomic assessments in industrial workplaces should consider cognitive load and age when describing the risk of musculoskeletal disorders.
Funder
Employers’ Association of the Metal and Electric Industry Baden-Württemberg
Subject
Behavioral Neuroscience,Applied Psychology,Human Factors and Ergonomics