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Developing a framework for predicting upper extremity muscle activities, postures, velocities, and accelerations during computer use: the effect of keyboard use, mouse use, and individual factors on physical exposures.

Authors
Bruno Garza-JL; Catalano-PJ; Katz-JN; Huysmans-MA; Dennerlein-JT
Source
J Occup Environ Hyg 2012 Dec; 9(12):691-698
NIOSHTIC No.
20041822
Abstract
Prediction models were developed based on keyboard and mouse use in combination with individual factors that could be used to predict median upper extremity muscle activities, postures, velocities, and accelerations experienced during computer use. In the laboratory, 25 participants performed five simulated computer trials with different amounts of keyboard and mouse use ranging from a highly keyboard-intensive trial to a highly mouse-intensive trial. During each trial, muscle activity and postures of the shoulder and wrist and velocities and accelerations of the wrists, along with percentage keyboard and mouse use, were measured. Four individual factors (hand length, shoulder width, age, and gender) were also measured on the day of data collection. Percentage keyboard and mouse use explained a large amount of the variability in wrist velocities and accelerations. Although hand length, shoulder width, and age were each significant predictors of at least one median muscle activity, posture, velocity, or acceleration exposure, these individual factors explained very little variability in addition to percentage keyboard and mouse use in any of the physical exposures investigated. The amounts of variability explained for models predicting median wrist velocities and accelerations ranged from 75 to 84% but were much lower for median muscle activities and postures (0-50%). RMS errors ranged between 8 to 13% of the range observed. While the predictions for wrist velocities and accelerations may be able to be used to improve exposure assessment for future epidemiologic studies, more research is needed to identify other factors that may improve the predictions for muscle activities and postures.
Keywords
Musculoskeletal-system-disorders; Ergonomics; Computer-equipment; Computers; Analytical-models; Extremities; Body-mechanics; Body-regions; Exposure-assessment; Job-analysis; Task-performance; Anthropometry; Muscle-function; Muscle-physiology; Acceleration; Posture; Physiological-effects; Physiological-factors; Keyboard-operators; Physiological-measurements; Epidemiology; Repetitive-work; Biomechanics; Biomechanical-modeling; Author Keywords: anthropometry; biomechanics; task-based exposure assessment
Contact
Jack T. Dennerlein, Northeastern University, 6 Robinson Hall, 360 Huntington Avenue, Boston, MA 02115
CODEN
JOEHA2
Publication Date
20121201
Document Type
Journal Article
Email Address
j.dennerlein@neu.edu
Funding Amount
121350
Funding Type
Grant
Fiscal Year
2013
NTIS Accession No.
NTIS Price
Identifying No.
Grant-Number-R01-OH-003997; Grant-Number-R01-OH-008781; B20121218D
Issue of Publication
12
ISSN
1545-9624
Source Name
Journal of Occupational and Environmental Hygiene
State
MA
Performing Organization
Harvard University, Boston, Massachusetts
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