Identifying Ergonomic Risk Factors in Bank

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Safiye Ozvurmaz

Abstract




Abstract


Working without changing posture for a long period, repetitive body motions and non-ergonomic work conditions can lead various health problems in bank employees. In this study, the objective is to investigate the ergonomic risk factors of bank employees who work with computers. The study involves 221 bank employees who work with computers. Data were collected using self-assessment surveys which were completed between July-September 2013. The survey includes socio-demographic and work related questions. Ergonomic risk points were assessed using a 6-level Likert scale which inquires constant standing, constant sitting and repetitive motions. Higher ergonomic risk scores indicate poor/inconvenient working conditions. Ergonomic risk point was calculated between 4 as minimum and 24 as maximum. Statistical analysis was performed by chi-square test, student t-test and logistic regression analysis. Demographics of the participants are as follows: 46.6% aged between 30-39 years, 56.1% male, %91.1 university-graduate, 65.6% married, 48.8% have kids. 19.9% of participants do sports, 83.7% right-handed, 6.8% has attended training about ergonomics, 8.1% constantly stand, 40.3% constantly sit, 33.9% do repetitive motions and 5.4% movements which are drastic for the body. 51.1% of the participants described their office chairs to have a medium comfort level and 4.5% reported their office table to have a very good comfort level. Mean ergonomic risk level point is calculated as 13.8±2.8, weekly total computer use time was calculated as 44.6±10.4 and mean comfort perception point for work environment is calculated as 18.9±4.3. It is determined that ergonomic risk factors are common in bank employees working with computers.


Keywords: Ergonomics, risk factor, bank employee, computer Workstation




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How to Cite
Ozvurmaz, S. (2016). Identifying Ergonomic Risk Factors in Bank. New Trends and Issues Proceedings on Advances in Pure and Applied Sciences, 2016(7), 123–129. https://doi.org/10.18844/gjpaas.v0i7.3170
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