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The influence of multiple risk facto...

Hughes, Laura Elizabeth.

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The influence of multiple risk factors on WMSD risk and evaluation of measurement methods used to access risks.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	The influence of multiple risk factors on WMSD risk and evaluation of measurement methods used to access risks./
作者:	Hughes, Laura Elizabeth.
面頁冊數:	146 p.
附註:	Advisers: Kari Babski-Reeves; Maury Nussbaum.
Contained By:	Dissertation Abstracts International68-03B.
標題:	Engineering, Industrial. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3256122

The influence of multiple risk factors on WMSD risk and evaluation of measurement methods used to access risks.
Hughes, Laura Elizabeth.

The influence of multiple risk factors on WMSD risk and evaluation of measurement methods used to access risks. - 146 p.

Advisers: Kari Babski-Reeves; Maury Nussbaum.

Thesis (Ph.D.)--Virginia Polytechnic Institute and State University, 2007.

The current research provided a basis for measuring physical and psychosocial exposure simultaneously in occupational settings. Using this knowledge may allow practitioners to focus on interventions and designs that reduce WMSD risk exposure.Subjects--Topical Terms:

626639
Engineering, Industrial.

The influence of multiple risk factors on WMSD risk and evaluation of measurement methods used to access risks.
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100 1 $a Hughes, Laura Elizabeth. $3 1277449
245 1 4 $a The influence of multiple risk factors on WMSD risk and evaluation of measurement methods used to access risks.
300 $a 146 p.
500 $a Advisers: Kari Babski-Reeves; Maury Nussbaum.
500 $a Source: Dissertation Abstracts International, Volume: 68-03, Section: B, page: 1863.
502 $a Thesis (Ph.D.)--Virginia Polytechnic Institute and State University, 2007.
520 $a The current research provided a basis for measuring physical and psychosocial exposure simultaneously in occupational settings. Using this knowledge may allow practitioners to focus on interventions and designs that reduce WMSD risk exposure.
520 $a Despite high prevalence rates of work-related musculoskeletal disorders (WMSDs), the causes and pathways of WMSD development are not fully understood. Multiple factors (physical, psychosocial, and individual) have been associated with WMSD development, but causal inferences are not available due to lack of experimental designs. Because the responses, validity, and reliability of measured outcomes under multiple-exposure environments are not known, the current work analyzed the effects of multiple WMSD risk factors on several measurement methods.
520 $a Forty-eight participants completed four trials of simulated manufacturing work at different levels of physical and psychosocial exposure for one psychosocial dimension (job control, job demands, time pressure, or social support). The three independent variables significantly affected outcomes, including muscle activity, heart rate, task performance, discomfort and workload ratings, and psychosocial environment perceptions. Social interaction should take priority over working in isolation, and pressure to achieve high performance should be minimized to reduce WMSD risk.
520 $a A secondary data analysis determined measurements that could estimate WMSD risk efficiently. Convergent and discriminant validity was assessed to retain methods that provided unique information and minimized overlap between similar methods. For the given manufacturing environment, one muscle activity measure, heart rate mean and variability, one set of workload and discomfort ratings, and a psychosocial questionnaire were the best WMSD risk measurement methods. The third study assessed the test-retest reliability of the outcome measures of an additional trial involving 24 participants. Workload and discomfort appeared reliable under high levels of physical exposure but not under psychosocial manipulations. Physiological measures were reliable for <50% of parameters. The psychosocial questionnaire was reliable under favorable social support but not high physical exposure and favorable job control.
520 $a The final study determined the number of psychosocial factors experienced through factor analysis on psychosocial questionnaire responses from the main experiment. Participants could distinguish psychosocial dimensions in the work environment, and this questionnaire may be used in experimental settings to measure perceptions of the psychosocial environment.
590 $a School code: 0247.
650 4 $a Engineering, Industrial. $3 626639
650 4 $a Health Sciences, Occupational Health and Safety. $3 1017799
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710 2 $a Virginia Polytechnic Institute and State University. $3 1017496
773 0 $t Dissertation Abstracts International $g 68-03B.
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790 1 0 $a Babski-Reeves, Kari, $e advisor
790 1 0 $a Nussbaum, Maury, $e advisor
791 $a Ph.D.
792 $a 2007
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3256122