Evaluating the Linear Integration Method of Estimating Cumulative Loading Using an Eccentric Exercise
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2018/09/01
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Description:The ability to quantify cumulative exposure is critically in understanding dose-response relationship in the development of work-related musculoskeletal disorders. Different integration methods have been used in estimating cumulative loading (force or torque). The general objective of cumulative loading integration methods has been to sum the loading exposure for each individual task, calculate by multiplying the magnitude of the task loading times the task duration, and develop an "area under the curve". An assumption of this linear integration model is that short time exposure to high forces will result in a similar level of damage as relatively long-time exposure to low forces. In this study, three loading groups of eccentric exercise with the same "area under the curve" were performed by thirty participants (ten in each group). Relaxed elbow angle and maximum isometric voluntary contractions (MIVC) were collected before, immediately after, and 2, 4, 8 days after the exercise. The relaxed elbow angle and the changes in MIVC were significantly impacted by the loading group. This result suggests that the linear integration method of estimating cumulative loading may underestimate the impact of high force loading in terms of cumulative muscle damage. [Description provided by NIOSH]
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ISSN:1071-1813
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Volume:62
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Issue:1
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NIOSHTIC Number:nn:20068491
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Citation:Proceedings of the Human Factors and Ergonomics Society 62nd Annual Meeting, October 1-5, 2018, Philadelphia, Pennsylvania. Santa Monica, CA: Human Factors and Ergonomics Society, 2018 Sep; 62(1):882-885
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Federal Fiscal Year:2018
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Performing Organization:Sunshine Education and Research Center, University of South Florida
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Peer Reviewed:True
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Start Date:20050701
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Source Full Name:Proceedings of the Human Factors and Ergonomics Society 62nd Annual Meeting, October 1-5, 2018, Philadelphia, Pennsylvania
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End Date:20290630
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Main Document Checksum:urn:sha-512:474d5cc7b99e909058c0c46c158b288dd6e50e8aac8504a90e7f5b662d8d3ede1a32fc89a38e7908a8afa8102de36aead050e2e99686bf12e7b798eb77daa18e
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