Literature DB >> 17599795

Office ergonomics: deficiencies in computer workstation design.

Ashraf A Shikdar1, Mahmoud A Al-Kindi.   

Abstract

The objective of this research was to study and identify ergonomic deficiencies in computer workstation design in typical offices. Physical measurements and a questionnaire were used to study 40 workstations. Major ergonomic deficiencies were found in physical design and layout of the workstations, employee postures, work practices, and training. The consequences in terms of user health and other problems were significant. Forty-five percent of the employees used nonadjustable chairs, 48% of computers faced windows, 90% of the employees used computers more than 4 hrs/day, 45% of the employees adopted bent and unsupported back postures, and 20% used office tables for computers. Major problems reported were eyestrain (58%), shoulder pain (45%), back pain (43%), arm pain (35%), wrist pain (30%), and neck pain (30%). These results indicated serious ergonomic deficiencies in office computer workstation design, layout, and usage. Strategies to reduce or eliminate ergonomic deficiencies in computer workstation design were suggested.

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Mesh:

Year:  2007        PMID: 17599795     DOI: 10.1080/10803548.2007.11076722

Source DB:  PubMed          Journal:  Int J Occup Saf Ergon        ISSN: 1080-3548


  3 in total

Review 1.  Ergonomic Stressors Among Pregnant Healthcare Workers: Impact on pregnancy outcomes and recommended safety practices.

Authors:  Frincy Francis; Sheeba E Johnsunderraj; K Y Divya; Divya Raghavan; Atiya Al-Furgani; Lily P Bera; Aniamma Abraham
Journal:  Sultan Qaboos Univ Med J       Date:  2021-06-21

2.  A Scene Recognition and Semantic Analysis Approach to Unhealthy Sitting Posture Detection during Screen-Reading.

Authors:  Weidong Min; Hao Cui; Qing Han; Fangyuan Zou
Journal:  Sensors (Basel)       Date:  2018-09-16       Impact factor: 3.576

3.  A Multi-Parametric Wearable System to Monitor Neck Movements and Respiratory Frequency of Computer Workers.

Authors:  Daniela Lo Presti; Arianna Carnevale; Jessica D'Abbraccio; Luca Massari; Carlo Massaroni; Riccardo Sabbadini; Martina Zaltieri; Joshua Di Tocco; Marco Bravi; Sandra Miccinilli; Silvia Sterzi; Umile G Longo; Vincenzo Denaro; Michele A Caponero; Domenico Formica; Calogero M Oddo; Emiliano Schena
Journal:  Sensors (Basel)       Date:  2020-01-18       Impact factor: 3.576

  3 in total

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