Determination and Modeling of Lifting Capacity
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1978/09/01
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Series: Grant Final Reports
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Description:A literature review was conducted to define the lifting capacity of the working population, predict individual lifting capacities, and determine the effects of the components of job stress on the occurrence of occupational injuries. Specific factors studied as possible contributors to lifting injuries included improper lifting methods, the age of the worker involved, the sex of the worker involved, the weight of the worker involved, individual motor characteristics, personality characteristics, inexperience on the job, work environment, general health of the worker, work pace, height of the individual, repetition and constancy of the task, weight of the load to be moved, vertical height of the lift required, noise levels, illumination, temperature and humidity, and the size, condition, and liftability of the load itself. Methods studied to control the incidence and severity of materials handling injuries were divided into three parts: the general area of preplacement medical or other examinations of the worker; the assignment of more or less arbitrary lifting weight limits; and the more logical comprehensive approach of attempting to scientifically match abilities of the worker to the lifting requirements of the job. [Description provided by NIOSH]
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Pages in Document:1-262
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NIOSHTIC Number:nn:00180392
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NTIS Accession Number:PB88-237805
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Citation:Institute for Biotechnology, Texas Tech University, Lubbock, Texas, Final Report 1978 Sep; :1-262
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Contact Point Address:Industrial Engineering Texas Tech University Dept of Industrial Engring Lubbock, Tex 79409
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Federal Fiscal Year:1978
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Performing Organization:Texas Tech University, Lubbock, Texas
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Peer Reviewed:False
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Start Date:19750301
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Source Full Name:Institute for Biotechnology, Texas Tech University, Lubbock, Texas, Final Report
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End Date:19780531
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Main Document Checksum:urn:sha-512:8eead9b465869e5350740235c78199bcd129ad0e122f4e2d5caab859b44b96b11916c4a7d7f9ff896efd72b74443d988bef67993e0d2ac76e3478ecc50a162b0
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