Sex-specific effects of sitting vs standing on upper body muscle activity during text typing

Cui, Alexander; Emery, Kim; Beaudoin, Anne-Sophie; Feng, Jessica; Côté, Julie N.

doi:10.1016/j.apergo.2019.102957

Cited by 13 publications

(7 citation statements)

References 29 publications

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“…The trapezius muscle, particularly its upper portion, has been subjected to extensive research in view of its potential role in developing chronic upper back and neck syndromes [27][28][29][30][31][32][33][34]. During a 30-min writing task, the activity of the upper trapezius was reported to be fourfold higher in patients with chronic neck pain, compared to healthy controls [31].…”

Section: Introductionmentioning

confidence: 99%

“…Determining the limits of trapezius activity that represent an increased risk for developing neck syndromes is difficult since most studies used normalizations to non-standard reference tasks [27,29,30] instead of maximal voluntary contraction (MVC) tasks. Cui et al [32] reported the activity of upper trapezius to be 5-7% MVC during typing, with little difference between sitting and standing posture. In another study, a wide range of average activity of the trapezius during 30-min office (0.5-9.3% MVC) or light manual work (0.6-12.5% MVC) was reported, with no difference between the work types [33].…”

Section: Introductionmentioning

confidence: 99%

“…While the association between muscle activity and muscle stiffness has been consistently reported on other muscles [9,12,15,16], these studies used a large range of contraction intensities. Potential associations between smaller changes in muscle activity (such as typically seen in trapezius muscle during office or light manual work [32,33]) and changes in shear modulus are yet to be explored. Notably, all of the aforementioned studies examined the within-individual relationship between shear modulus and muscle activity.…”

Section: Introductionmentioning

confidence: 99%

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Shear-wave elastography for assessment of trapezius muscle stiffness: Reliability and association with low-level muscle activity

Kozinc

Šarabon

2020

PLoS ONE

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Shear-wave elastography has been recognized a useful tool for quantifying muscle stiffness, commonly reported as shear modulus, however the reports on reliability are often limited to test-retest correlations. In this study, we explored the reliability of shear-wave elastography for assessment of the trapezius muscle stiffness and its relationship with lowlevel muscle activity. Methods Twenty participants were included in a two-session experiment. Measurements of shear modulus and muscle activity were performed at rest and during low-level activity, induced by shoulder abduction without additional external resistance. Results Good to excellent intra-session repeatability (ICC > 0.80) and moderate inter-rater and inter-session reproducibility (ICC = 0.66-0.74) were observed. Typical errors were acceptable (7.6% of the mean value) only for intra-session measurements in resting conditions, but not acceptable for all conditions with low-level muscle activity (10.2-16.6% of the mean value). Inverse relationships between shear modulus and muscle activity at 40˚and 60˚of shoulder abduction (r =-0.53 and-0.57) were observed on a group level. We also found higher shear modulus in males compared to females, for the parallel probe position compared to the perpendicular position (in relation to muscle fiber orientation), and for the dominant side of the body compared to the non-dominant side. Conclusions This study showed an inverse relationship between muscle activity in low-level range and shear modulus on a group level, suggesting inherent passive stiffness could account for a larger portion of the variance (compared to muscle activity) in shear modulus when the

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Shear-wave elastography for assessment of trapezius muscle stiffness: Reliability and association with low-level muscle activity

Kozinc

Šarabon

2020

PLoS ONE

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“…It has to be noted however, that our results differ from those of a previous study regarding the activity of the trapezius. We found that female subjects have a lower activity with respect to males, while Cui et al showed opposite results [ 52 ]. This difference could be attributed to the experimental protocol; indeed, the subjects of Cui et al were required to complete a 90 min text typing task while standing.…”

Section: Discussionmentioning

confidence: 73%

The Speed of Optic Flow Stimuli Influences Body Sway

Raffi

Trofè

Meoni

et al. 2022

IJERPH

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Optic flow is a perceptual cue processed for self-motion control. The aim of this study was to investigate whether postural control is modulated by the speed of radial optic flow stimuli. The experiments were performed on 20 healthy volunteers using stabilometry and surface electromyography (EMG). The subjects were instructed to fixate a central fixation point while radial optic flow stimuli were presented full field, in the foveal and in the peripheral visual field at different dots speed (8, 11, 14, 17 and 20°/s). Fixation in the dark was used as control stimulus. The EMG analysis showed that male and female subjects reacted to the stimuli with different muscle activity (main effects for gender, muscle and laterality: p < 0.001). The analysis of the center of pressure (COP) parameters showed that optic flow stimuli had a different effect on the left and right limbs of males and females (main effects of laterality: p < 0.015; interaction effects of gender and laterality: p < 0.016). The low speed of optic flow stimuli (8 and 11°/s) evoked non-uniform directions of oscillations especially in peripheral stimulation in all subjects, meaning that optic flow simulating slow self-motion stabilizes body sway.

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“…Inconsistent with the findings of the study carried out by Dickhout [ 24 ], those workstations that have different muscle demands, such as workers who have job rotation, have less job fatigue. Also, the finding of Cui showed that standing posture uses less muscle than sitting posture, although the neck-shoulder muscle responds differently perform in a sitting or standing position [ 25 ].…”

Section: Discussionmentioning

confidence: 99%

Ergonomic Design of Manual Assembly Workstation Using Digital Human Modeling

Alipour

Daneshmandi

Fararuei

et al. 2021

Annals of Global Health

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Background: Manual assembly workers are exposed to risk factors of musculoskeletal disorders. The most important risk factor among the workers is static and awkward posture. This study aimed to the ergonomic design of manual assembly workstation using Digital Human Modeling (DHM). Methods: This cross-sectional study was conducted among manual assembly workers. Data was gathered via 1) demographic/occupational questionnaire, 2) The Persian version of the Nordic General Questionnaire (P-NMQ), 3) Rapid Upper Limb Assessment (RULA) using Kinect sensor, 4) Hierarchical Task Analysis (HTA), 5) Idea Rating Sheet (IRS), 6) Anthropometric data of the participants, 7) CATIA software and RULA technique. Results: The results of the evaluations showed that in the design of most workstations of assemblers in Shiraz electronics industries, complete ergonomic principles were not observed, and the implementation of targeted ergonomic interventions in them is necessary. Conclusion: The prevalence of musculoskeletal symptoms is high among manual assembly workers. The RULA technique showed that the designed manual assembly workstation using DHM effectively could improve the subjects’ awkward postures.

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Sex-specific effects of sitting vs standing on upper body muscle activity during text typing

Cited by 13 publications

References 29 publications

Shear-wave elastography for assessment of trapezius muscle stiffness: Reliability and association with low-level muscle activity

Shear-wave elastography for assessment of trapezius muscle stiffness: Reliability and association with low-level muscle activity

The Speed of Optic Flow Stimuli Influences Body Sway

Ergonomic Design of Manual Assembly Workstation Using Digital Human Modeling

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