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Towards a better understanding of ma...
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Yeung, Sai Mo Simon.
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Towards a better understanding of manual lifting injuries and assessment: A cognitive algorithms approach.
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Towards a better understanding of manual lifting injuries and assessment: A cognitive algorithms approach./
Author:
Yeung, Sai Mo Simon.
Description:
378 p.
Notes:
Source: Dissertation Abstracts International, Volume: 63-10, Section: B, page: 4605.
Contained By:
Dissertation Abstracts International63-10B.
Subject:
Engineering, Industrial. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3066617
ISBN:
0493859810
Towards a better understanding of manual lifting injuries and assessment: A cognitive algorithms approach.
Yeung, Sai Mo Simon.
Towards a better understanding of manual lifting injuries and assessment: A cognitive algorithms approach.
- 378 p.
Source: Dissertation Abstracts International, Volume: 63-10, Section: B, page: 4605.
Thesis (Ph.D.)--Chinese University of Hong Kong (People's Republic of China), 2002.
Based on the findings in this investigation, further refinement and exploration of this worker-based linguistic approach in the evaluation of manual lifting tasks at the workplace should be supported and promoted.
ISBN: 0493859810Subjects--Topical Terms:
626639
Engineering, Industrial.
Towards a better understanding of manual lifting injuries and assessment: A cognitive algorithms approach.
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Towards a better understanding of manual lifting injuries and assessment: A cognitive algorithms approach.
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378 p.
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Source: Dissertation Abstracts International, Volume: 63-10, Section: B, page: 4605.
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Supervisor: P. C. Leung.
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Thesis (Ph.D.)--Chinese University of Hong Kong (People's Republic of China), 2002.
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Based on the findings in this investigation, further refinement and exploration of this worker-based linguistic approach in the evaluation of manual lifting tasks at the workplace should be supported and promoted.
520
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This investigation aims to demonstrate the usefulness of the worker-based assessment approach in the evaluation of manual lifting tasks. A distinctive feature of this approach is the use of linguistic terms to describe both the exposure and outcome variables. This linguistic approach is novel by taking into account both the linguistic and numerical representation of the lifting task parameters and risk outcome measures. A large scale industrial study on 217 manual handling workers in Hong Kong was conducted to: (1) test the hypothesise that musculoskeletal symptoms are prevalent in different and multiple body regions among manual handling workers, and perceived risk of injury may be associated with musculoskeletal symptoms; (2) examine the physical meaning of the linguistic lifting task parameters commonly used by the workers, and to quantify demanding lifting jobs among manual handling workers in Hong Kong; (3) map the cognitive strategies adopted by workers in evaluating the effects of lifting task parameters upon effort, and to validate workers' evaluations with respect to norms published in the literature and the musculoskeletal symptoms; (4) relate lifting effort to lifting parameters and model musculoskeletal outcomes in multiple body regions as a function of effort; and (5) investigate the performance of the NIOSH lifting equation and its generalization ability.
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The results indicated that lower back symptoms were most frequent among manual handling workers, followed by the shoulder region. Musculoskeletal symptoms for multiple body parts were more prevalent (64% of all workers) than those of single body regions (19%). Univariate analyses revealed that the perceived risk of injury significantly associated with all body regions except the upper and lower legs. The demanding lifting job was determined by asking the workers to map the physical analog of linguistic descriptors for seven lifting task parameters, utilized in the NIOSH lifting equation. The numerical values were then used to construct the physical - linguistic mapping of lifting-related variables. This was then subjected to validity testing in relation to published values. The results revealed that the workers' assessment is logical and valid, and the worker-based methodology is worth to pursue in the evaluation of industrial lifting activities.
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The validity of this worker-based assessment of the lifting tasks was further evaluated by mapping the cognitive strategies adopted by workers in evaluating the effects of lifting task parameters. The results indicated that perceived physical effort was significantly associated with lifting variables, and weight of load emerged as the most influential factor impacting effort. Perceived effort was significantly associated with objective indices (i.e., biomechanical lifting equivalent and NIOSH lifting index), and musculoskeletal symptoms in eight body parts. The performance of the NIOSH lifting equation and its generalizations with respect to the effort expended during the performance of manual lifting tasks was further evaluated. The additive and multiplicative equations were tested and the results indicated that multiplicative structure of the NIOSH lifting equation is supported.
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School code: 1307.
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Engineering, Industrial.
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Health Sciences, Occupational Health and Safety.
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advisor
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2002
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3066617
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