The effect of walking while typing on neck/shoulder patterns
- 403 Downloads
This project aimed to quantify the effects of modifying computer work posture on neck/shoulder patterns during a prolonged typing task.
Twenty healthy participants completed a 90-min typing task while sitting or walking on a treadmill. Electromyography (EMG) was recorded from eight upper body muscles and laser Doppler flowmetry (LDF) from two upper body sites. Effects of Time and Posture were assessed for EMG amplitude (RMS), variability (CoV), normalized mutual information (NMI), LDF and upper limb discomfort.
Upper limb discomfort was higher during sitting and increased with time, from 0.86 ± 1.3 to 3.7 ± 3.1 out of 10. Interaction effects showed that EMG amplitude decreased over time for the lumbar erector spinae (LES) (from 6.3 ± 2.9 to 5.6 ± 3.2 % MIVC) and wrist extensor (from 12.4 ± 2.7 to 11.3 ± 3.5 % MIVC) during walking, but increased during sitting. Anterior Deltoid EMG amplitude was 64 % lower during walking while External Oblique EMG amplitude (43 %) and Lower Trapezius EMG variability (65 %) were higher during walking. Interaction effects showed higher LES CoV during walking compared to sitting (p = 0.019) in the beginning but not at the end of the task, and higher neck/shoulder NMI (p = 0.050) towards the end of the task during sitting compared to walking.
Results suggest that walking while performing computer work may be effective in inducing healthier muscular patterns, possibly explaining the lower level of discomfort compared to sitting.
KeywordsDiscomfort Computer work EMG Treadmill Neck/shoulder Blood flow
Analysis of variance
Adjusted words per minute
Cervical erector spinae
Coefficient of variation
Forearm laser Doppler flowmetry
Laser Doppler flowmetry
Lumbar erector spinae
Maximum isometric voluntary contractions
Normalized mutual information
Perceived stress scale
Shoulder laser Doppler flowmetry
Work-related musculoskeletal disorder
In addition to the participants in the study, the authors wish to thank David Antle, Amanda Farias and Zach Weber for their assistance in data collection and analyses. This research was supported by grant Grants from the Canadian Foundation for Innovation and the Institut de Recherche Robert-Sauvé en Santé etenSécurité du Travail (IRSST). Julie Côté holds a Gender, Work and HealthResearch Chair from the Canadian Institutes for HealthResearch and the IRSST.
Conflict of interest
No author has financial or personal conflicts of interest that could inappropriately influence their work.
- Basmajian JV, Blumenstein R (1980) Electrode placement in EMG biofeedback. Williams & Wilkins, BaltimoreGoogle Scholar
- Cohen S, Williamson GM (1988) Perceived stress in a probability sample of the United-States. In: Spacapam S, Oskamp S (eds) The social psychology of health. Sage, Newbury ParkGoogle Scholar
- Grandjean E, Kroemer KHE (1997) Fitting the task to the human: A textbook of occupational ergonomics, 5th edn. Taylor & Francis, PhiladelphiaGoogle Scholar
- John D, Bassett D, Thompson D, Fairbrother J, Baldwin D (2009) Effect of using a treadmill workstation on performance of simulated office work tasks. J Phys Act Hea 6:617–624Google Scholar
- Messing KVN, Major M, Ouellet S, Tissot F, Couture V et al (2008) Body maps: an indicator of physical pain for worker-oriented ergonomic interventions. Pol Pract Health Safety 6:31–49Google Scholar
- Stock S, Funes A, DelisleA, St-Vincent M, Turcot A, Messing M (2011) Troubles musculo-squelettiques. In: Vézina M et al. Enquête québécoise sur des conditions de travail, d’emploi, et de santé et de sécurité du travail (EQCOTESST), Chapitre 7. Institut de recherche Robert-Sauvé en santé et sécurité du travail—Institut national de santé publique du Québec et Institut de la statistique du QuébecGoogle Scholar