Literature DB >> 16040440

Evaluation of muscular activity, local muscular fatigue, and muscular rest patterns among dentists.

Bo Rolander1, Dirk Jonker, Alek Karsznia, Tommy Oberg.   

Abstract

In a previous study, dentists reported very high scores for perceived physical workload, but only low to moderate scores for the musculoskeletal system. This is difficult to explain when other occupational groups in the dental services are compared, and is the main reason why the present study was performed. To measure muscular activity, a surface electromyography (sEMG) study was done, and included the subjects who reported neck and shoulder complaints in the previous study. A portable sEMG system (MyoGuard) was used to collect a myoelectric signal on-line and analysis of the myoelectric signal in a computer. sEMG was recorded from both trapezius muscles for approximately 4 h during an ordinary working day. Twenty-seven dentists participated in the study. The results show accumulated rest% fairly close to that of female cashiers and supermarket employees and increased average rectified value percent (ARV%) during work that could contribute to the very high workload perceived by dentists.

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Year:  2005        PMID: 16040440     DOI: 10.1080/00016350510019964

Source DB:  PubMed          Journal:  Acta Odontol Scand        ISSN: 0001-6357            Impact factor:   2.331


  3 in total

1.  The Combination of Different Ergonomic Supports during Dental Procedures Reduces the Muscle Activity of the Neck and Shoulder.

Authors:  José A García-Vidal; Manuel López-Nicolás; Ana C Sánchez-Sobrado; María P Escolar-Reina; Francesc Medina-Mirapeix; Roberto Bernabeu-Mora
Journal:  J Clin Med       Date:  2019-08-15       Impact factor: 4.241

2.  Effect of different ergonomic supports on muscle activity of dentists during posterior composite restoration.

Authors:  Manuel López-Nicolás; José A García-Vidal; Francesc Medina-Mirapeix; Joaquín P Sánchez-Onteniente; Juan D Berná Mestre; Rodrigo Martín-San Agustín; María P Escolar-Reina
Journal:  PeerJ       Date:  2019-11-07       Impact factor: 2.984

3.  Prediction of Muscle Fatigue during Minimally Invasive Surgery Using Recurrence Quantification Analysis.

Authors:  Ali Keshavarz Panahi; Sohyung Cho
Journal:  Minim Invasive Surg       Date:  2016-05-24
  3 in total

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