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      Proximal and distal muscle fatigue differentially affect movement coordination

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      PLoS ONE
      Public Library of Science

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          Abstract

          Muscle fatigue can cause people to change their movement patterns and these changes could contribute to acute or overuse injuries. However, these effects depend on which muscles are fatigued. The purpose of this study was to determine the differential effects of proximal and distal upper extremity muscle fatigue on repetitive movements. Fourteen subjects completed a repetitive ratcheting task before and after a fatigue protocol on separate days. The fatigue protocol either fatigued the proximal (shoulder flexor) or distal (finger flexor) muscles. Pre/Post changes in trunk, shoulder, elbow, and wrist kinematics were compared to determine how proximal and distal fatigue affected multi-joint movement patterns and variability. Proximal fatigue caused a significant increase (7°, p < 0.005) in trunk lean and velocity, reduced humeral elevation (11°, p < 0.005), and increased elbow flexion (4°, p < 0.01). In contrast, distal fatigue caused small but significant changes in trunk angles (2°, p < 0.05), increased velocity of wrench movement relative to the hand (17°/s, p < 0.001), and earlier wrist extension (4%, p < 0.005). Movement variability increased at proximal joints but not distal joints after both fatigue protocols (p < 0.05). Varying movements at proximal joints may help people adapt to fatigue at either proximal or distal joints. The identified differences between proximal and distal muscle fatigue adaptations could facilitate risk assessment of occupational tasks.

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          Kinematic variability and local dynamic stability of upper body motions when walking at different speeds.

          A ubiquitous characteristic of elderly and patients with gait disabilities is that they walk slower than healthy controls. Many clinicians assume these patients walk slower to improve their stability, just as healthy people slow down when walking across ice. However, walking slower also leads to greater variability, which is often assumed to imply deteriorated stability. If this were true, then slowing down would be completely antithetical to the goal of maintaining stability. This study sought to resolve this paradox by directly quantifying the sensitivity of the locomotor system to local perturbations that are manifested as natural kinematic variability. Eleven young healthy subjects walked on a motorized treadmill at five different speeds. Three-dimensional movements of a single marker placed over the first thoracic vertebra were recorded during continuous walking. Mean stride-to-stride standard deviations and maximum finite-time Lyapunov exponents were computed for each time series to quantify the variability and local dynamic stability, respectively, of these movements. Quadratic regression analyses of the dependent measures vs. walking speed revealed highly significant U shaped trends for all three mean standard deviations, but highly significant linear trends, with significant or nearly significant quadratic terms, for five of the six finite-time Lyapunov exponents. Subjects exhibited consistently better local dynamic stability at slower speeds for these five measures. These results support the clinically based intuition that people who are at increased risk of falling walk slower to improve their stability, even at the cost of increased variability.
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            The coordination and regulation of movements

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              Diversity and variation in biomechanical exposure: what is it, and why would we like to know?

              Trends in global working life suggest that the occurrence of jobs characterized by long-lasting low-level loads or repetitive operations is increasing. More physical "variation" is commonly believed to be a remedy against musculoskeletal disorders in such jobs. One aim of the present paper was to shortly review the validity of this conviction. An examination of the available epidemiologic literature pointed out that the effectiveness of initiatives like job rotation or more breaks is weakly supported by empirical evidence, and only for short-term psychophysical outcomes. Only a limited number of studies have been devoted to physical variation, and concepts and metrics for variation in biomechanical exposure are not well developed. Thus, as a second objective, the paper proposes a framework for investigating and evaluating aspects of exposure variation, based on explicit definitions of variation as "the change in exposure across time" and diversity as "the extent that exposure entities differ". Operational methods for assessing these concepts are also discussed.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                24 February 2017
                2017
                : 12
                : 2
                : e0172835
                Affiliations
                [1 ]School of Kinesiology, University of Michigan, Ann Arbor, Michigan, United States of America
                [2 ]Department of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, United States of America
                Charite Universitatsmedizin Berlin, GERMANY
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                • Conceptualization: JC DG.

                • Data curation: JC.

                • Formal analysis: JC DG.

                • Funding acquisition: JC.

                • Investigation: JC.

                • Methodology: JC DG.

                • Project administration: JC.

                • Resources: DG.

                • Software: JC DG.

                • Supervision: DG.

                • Validation: JC DG.

                • Visualization: JC DG.

                • Writing – original draft: JC.

                • Writing – review & editing: JC DG.

                Author information
                http://orcid.org/0000-0002-6086-0913
                Article
                PONE-D-16-25130
                10.1371/journal.pone.0172835
                5325574
                28235005
                a91b9f60-0d32-4390-822a-e36c2f95329f
                © 2017 Cowley, Gates

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 22 June 2016
                : 10 February 2017
                Page count
                Figures: 6, Tables: 3, Pages: 17
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/100000071, National Institute of Child Health and Human Development;
                Award ID: K12HD073945
                Award Recipient : Deanna Gates
                Funding was provided by a Graduate Research Grant from the University of Michigan. D.G. was supported by the Eunice Kennedy Shriver National Institute of Child Health & Human Development of the National Institutes of Health under Award Number K12HD073945. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Medicine and Health Sciences
                Diagnostic Medicine
                Signs and Symptoms
                Fatigue
                Medicine and Health Sciences
                Pathology and Laboratory Medicine
                Signs and Symptoms
                Fatigue
                Physical Sciences
                Physics
                Classical Mechanics
                Damage Mechanics
                Material Fatigue
                Physical Sciences
                Materials Science
                Materials Physics
                Material Fatigue
                Physical Sciences
                Physics
                Materials Physics
                Material Fatigue
                Biology and Life Sciences
                Anatomy
                Musculoskeletal System
                Medicine and Health Sciences
                Anatomy
                Musculoskeletal System
                Biology and Life Sciences
                Anatomy
                Musculoskeletal System
                Joints (Anatomy)
                Medicine and Health Sciences
                Anatomy
                Musculoskeletal System
                Joints (Anatomy)
                Biology and Life Sciences
                Anatomy
                Musculoskeletal System
                Limbs (Anatomy)
                Arms
                Wrist
                Medicine and Health Sciences
                Anatomy
                Musculoskeletal System
                Limbs (Anatomy)
                Arms
                Wrist
                Biology and Life Sciences
                Anatomy
                Musculoskeletal System
                Shoulders
                Medicine and Health Sciences
                Anatomy
                Musculoskeletal System
                Shoulders
                Physical Sciences
                Physics
                Classical Mechanics
                Kinematics
                Biology and Life Sciences
                Anatomy
                Musculoskeletal System
                Limbs (Anatomy)
                Arms
                Elbow
                Medicine and Health Sciences
                Anatomy
                Musculoskeletal System
                Limbs (Anatomy)
                Arms
                Elbow
                Custom metadata
                All relevant data are within the paper and its Supporting Information files.

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