Document Detail


The effectiveness of a training method using self-modeling webcam photos for reducing musculoskeletal risk among office workers using computers.
MedLine Citation:
PMID:  21745654     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
An intervention study was conducted to examine the effectiveness of an innovative self-modeling photo-training method for reducing musculoskeletal risk among office workers using computers. Sixty workers were randomly assigned to either: 1) a control group; 2) an office training group that received personal, ergonomic training and workstation adjustments or 3) a photo-training group that received both office training and an automatic frequent-feedback system that displayed on the computer screen a photo of the worker's current sitting posture together with the correct posture photo taken earlier during office training. Musculoskeletal risk was evaluated using the Rapid Upper Limb Assessment (RULA) method before, during and after the six weeks intervention. Both training methods provided effective short-term posture improvement; however, sustained improvement was only attained with the photo-training method. Both interventions had a greater effect on older workers and on workers suffering more musculoskeletal pain. The photo-training method had a greater positive effect on women than on men.
Authors:
Meirav Taieb-Maimon; Julie Cwikel; Bracha Shapira; Ido Orenstein
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2011-7-9
Journal Detail:
Title:  Applied ergonomics     Volume:  -     ISSN:  1872-9126     ISO Abbreviation:  -     Publication Date:  2011 Jul 
Date Detail:
Created Date:  2011-7-12     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0261412     Medline TA:  Appl Ergon     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2011 Elsevier Ltd and The Ergonomics Society. All rights reserved.
Affiliation:
Department of Information Systems Engineering, Ben Gurion University of the Negev, POB 653, Beer Sheva 84105, Israel.
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