Ergonomic Assessment of Computer Workstation At Federal University of Technology Owerri Nigeria
Journal Title: IOSR Journal of Dental and Medical Sciences (IOSR-JDMS) - Year 2017, Vol 16, Issue 3
Abstract
Ergonomics is the fixing of the job to man, adapting the job to fit the worker. It is the human-machine interface whose ultimate goal is the humanization of work and increasing the facets of productivity: effectiveness, efficiency and quality. This Study was designed to determine the various types of Work related musculoskeletal disorders among Computer operators and the Noise pollution levels at Federal University of Technology Computer Workstation, Owerri. This was a work-site based cross sectional study involving 150 consenting Computer operators. Data were collected through Questionnaire and measurements of noise levels. The Questionnaire were structured, self-administered and of two parts. The first part addressed the Sociodemographic variables with respect to age, gender and marital status whereas the second part was designed to determine the prevalence rates of various types of Work related musculoskeletal disorders of the participants. The prevalence was determined as a rate and reported in percentages. The Noise pollution levels were determined by measuring the Noise levels of the Computer Workstation Site using an Audio-digital Sound Meter Model JTS- 1357. It offered a resolution of 0.1 dB with an accuracy of ±1.5dB (94dB @ 1KHz). Noise levels were reported in Equivalent continous noise levels (Leq), a Logarithm-based Scale. Data were entered into Microsoft Excel Spreadsheet version 2010 to IBM-SPSS statistics version 21 for analysis. High prevalence rates of 90% and 83.7% were reported for Cuboid subluxation and Eye strain respectively among the Computer operators. The Equivalent continous noise level (Leq) for day 1 ranged from 56.86dB(A) on CWS-7 to 58.1dB(A) on CWS-9. These were within the permissible range. The Computer Work stations at FUTO were relatively free from the adverse effects of physical noise pollution.
Authors and Affiliations
Onoh C. C, Aguocha J. K, Osuagwu I. K, Akalonu G. I, Amadi C. O, Nwufo C. R, Nwachuku C. I
Keywords
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- DOI 10.9790/0853-160309107115.
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