Volume 15, Issue 2 (9-2019)
HSR 2019, 15(2): 129-135 |
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Ghavaminia A, Habibi E, Gholamian J, Hasanzadeh A. Designing and Making Smart Class Board into Automatic Height Adjustable and Assessment the Effect on Posture of Users. HSR 2019; 15 (2) :129-135
URL: http://hsr.mui.ac.ir/article-1-1078-en.html
URL: http://hsr.mui.ac.ir/article-1-1078-en.html
1- MSc Student, Student Research Committee, Department of Occupational Health Engineering, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran
2- Professor, Department of Occupational Health, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran
3- MSc Student of Ergonomics, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran
4- M.S, Department of Statistics, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran
2- Professor, Department of Occupational Health, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran
3- MSc Student of Ergonomics, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran
4- M.S, Department of Statistics, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran
Abstract: (1164 Views)
Background: This study aimed to design smart class board authomatically adjustable to height and assess its effect on of users' posture. Methods: This interventional study evaluated the effects of smart board application on users' posture while using non-smart boards, as well as smart boards, based on Rapid Entire Body Assessment (REBA) method.The study population included the professors and students of Isfahan University of Medical sciences. The data were analyzed in SPSS software (version20), and a value of P< 0.05 was considered statistically significant. Findings: According to the results of the presents study, 54.5% of participants required a necessary corrective measure (as soon as possible) in the application of upper part of non-smart boards, and were placed at the third level of corrective measure priorotization . In addition, the assessment of users' postures while using the middle part of board indicated that in non-smart boards, 90.9% of subjects were at the second level of corrective measure priorotization, while this value dropped to 4.5% in using smart boards. On the other hand, users' postures while using the lower part of the board was assessed and revealed that 18.2% of participants were at the second level of corrective measure priorotization, while there was no need for corrective measures in use of smart boards. Conclusion: The obtained results of posture assessment by REBA method in this study indicated a substantial risk in using non-smart boards. Accordingly, it is suggested that this new technology be used to prevent musculoskeletal disorders.
Type of Study: Research |
Subject:
education health and promotion
Received: 2020/07/16 | Accepted: 2019/09/15 | Published: 2019/09/15
Received: 2020/07/16 | Accepted: 2019/09/15 | Published: 2019/09/15
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