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An investigation of exposure assessm...

Ebersole, Marissa Luella.

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An investigation of exposure assessment methods for selected physical demands in hand-intensive work.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	An investigation of exposure assessment methods for selected physical demands in hand-intensive work./
Author:	Ebersole, Marissa Luella.
Description:	144 p.
Notes:	Chairs: Thomas J. Armstrong; William Monroe Keyserling.
Contained By:	Dissertation Abstracts International66-10B.
Subject:	Engineering, Industrial. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3192626
ISBN:	9780542364693

An investigation of exposure assessment methods for selected physical demands in hand-intensive work.
Ebersole, Marissa Luella.

An investigation of exposure assessment methods for selected physical demands in hand-intensive work. - 144 p.

Chairs: Thomas J. Armstrong; William Monroe Keyserling.

Thesis (Ph.D.)--University of Michigan, 2005.

Work-related upper extremity musculoskeletal disorders are still prevalent in many hand-intensive industries. Current ergonomic exposure assessment methods do not adequately address the needs of ergonomists and epidemiologists. The purpose of this work was to evaluate and improve the capability and reliability of subjective exposure assessment methods for selected upper extremity ergonomic risk factors in manual assembly work. Specifically, the work examined the reliability when using a reduced number of analysts, compared worker assessments with observer assessments and electromyography, and examined the relationship between work element and overall job ratings. The observational analyses and worker self-assessments were applied at both job and work element levels. This work also proposed and tested a tool to predict Hand Activity Level from work methods information and compared results to observed data. Measures of inter-after reliability and statistical correlation were used to assess reliability of the above comparisons.

ISBN: 9780542364693Subjects--Topical Terms:

626639
Engineering, Industrial.

An investigation of exposure assessment methods for selected physical demands in hand-intensive work.
LDR:03558nam 2200325 a 45 001 967708
005 20110915
008 110915s2005 eng d
020 $a 9780542364693
035 $a (UMI)AAI3192626
035 $a AAI3192626
040 $a UMI $c UMI
100 1 $a Ebersole, Marissa Luella. $3 1291576
245 1 3 $a An investigation of exposure assessment methods for selected physical demands in hand-intensive work.
300 $a 144 p.
500 $a Chairs: Thomas J. Armstrong; William Monroe Keyserling.
500 $a Source: Dissertation Abstracts International, Volume: 66-10, Section: B, page: 5612.
502 $a Thesis (Ph.D.)--University of Michigan, 2005.
520 $a Work-related upper extremity musculoskeletal disorders are still prevalent in many hand-intensive industries. Current ergonomic exposure assessment methods do not adequately address the needs of ergonomists and epidemiologists. The purpose of this work was to evaluate and improve the capability and reliability of subjective exposure assessment methods for selected upper extremity ergonomic risk factors in manual assembly work. Specifically, the work examined the reliability when using a reduced number of analysts, compared worker assessments with observer assessments and electromyography, and examined the relationship between work element and overall job ratings. The observational analyses and worker self-assessments were applied at both job and work element levels. This work also proposed and tested a tool to predict Hand Activity Level from work methods information and compared results to observed data. Measures of inter-after reliability and statistical correlation were used to assess reliability of the above comparisons.
520 $a Results from this work indicated that for selected evaluations, measurement reliability was maintained while using pairs of analysts because interclass correlation coefficients were generally greater than 0.60 after discussion between analysts. In the case of Hand Activity Level and peak hand force, a single analyst could be used because the interclass correlation coefficients were greater than 0.60 before discussion. Additionally, the inter-rater reliability of observational measurements was higher for all risk factors during on-site job-level evaluations. Inter-rater reliability (0.21--0.59 vs. 0.73--0.78) and worker-observer agreement (r2 = 0.04 vs. r2 = 0.36) also improved significantly by assessing work elements and combining them analytically to create an overall job score. These combined elemental ratings were significantly correlated to overall job ratings, but were higher in magnitude than job-level ratings. This work demonstrated additional uses for information gained from element-level analysis.
520 $a When comparing worker self-assessments of hand force to electromyography, muscle activity explained 25% of variance in worker ratings while other job and personal factors accounted for an additional 48%. Prediction of Hand Activity Level from work methods information showed a strong relationship (r 2 = 0.64) between calculated and observed scores suggesting that this tool could be used to predict and track exposure to repetitive motion/exertion.
590 $a School code: 0127.
650 4 $a Engineering, Industrial. $3 626639
650 4 $a Health Sciences, Occupational Health and Safety. $3 1017799
650 4 $a Health Sciences, Public Health. $3 1017659
690 $a 0354
690 $a 0546
690 $a 0573
710 2 0 $a University of Michigan. $3 777416
773 0 $t Dissertation Abstracts International $g 66-10B.
790 $a 0127
790 1 0 $a Armstrong, Thomas J., $e advisor
790 1 0 $a Keyserling, William Monroe, $e advisor
791 $a Ph.D.
792 $a 2005
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3192626