Application of Multiple Linear Regression Analysis in Ergonomics Study for Public Institution Seat W idth

Sylvia Adu; George Adu; Kwaku Antwi; Joseph Appiah Yeboah

doi:10.17485/IJST/v17i21.1741

Article

Application of Multiple Linear Regression Analysis in Ergonomics Study for Public Institution Seat W idth

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Indian Journal of Science and Technology

DOI: 10.17485/IJST/v17i21.1741

Year: 2024, Volume: 17, Issue: 21, Pages: 2159-2165

Original Article

Application of Multiple Linear Regression Analysis in Ergonomics Study for Public Institution Seat W idth

Sylvia Adu¹, George Adu^2*, Kwaku Antwi³, Joseph Appiah-Yeboah⁴

¹Department of Forest Resources Technology, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
²Department of Interior Design and Materials Technology, Kumasi Technical University, Kumasi, Ghana
³Department of Construction and Wood Technology Education, Akenten Appiah- Menka University of Skills Training and Entrepreneurial Development, Kumasi, Ghana
⁴Department of Technical and Vocational Education, Mampong Technical College of Education, Mampong -Ashanti, Ghana

*Corresponding Author
Email: [email protected]

Received Date:12 July 2023, Accepted Date:25 March 2024, Published Date:21 May 2024

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Objectives: To determine minimum seat width of comfortable seating for adult population, using multiple linear regression analysis on chair leg thickness, chair leg width, chair apron width, and knee height. Methods: Dimensions of three (3) factors were recorded using 310 adult workers. Multiple linear regression was used for statistical analysis for understanding how multiple factors (like chair leg thickness, chair leg width, chair apron width, and knee height) influence a single outcome to enhance comfortable seating. The collected data (chair leg thickness, chair leg width, chair apron width, and knee height) was analysed with the help of the analysis tool. Findings: The analysis used four predictors (knee height, chair leg thickness, chair leg width, and chair apron width) to obtain one predicted variable (seat width) to achieve comfortable seating based on these measurements. Subsequently, a moderate correlation existed between predictors and predicted variables, while correlations between predictors were less than 0.7 for them to be retained in the model. The coefficient of determination ( ) is 0.3003, indicating that 30.03% of the variance in predictors could be explained by seat width. Based on the comfort assessment and analysis results, required widths that ensure comfortable seating for the target population can be recommended in public institutions. Overall, this research has the potential to improve public health, comfort, and productivity by creating data-driven design standards for seating in public institutions. Novelty: The study focused on elderly workers who patronise this furniture in the administration block of public institutions.

Keywords: Multiple linear regression, Ergonomics, Knee height, Chair component dimensions, Seat width

References

Bhattacharjya BR, Kakoty SK. A survey of the anthropometric data relating to five ethnic groups in Assam considering gender and ethnic diversity: Application of the data in designing an improvised pedal-operated Chaak. International Journal of Industrial Ergonomics. 2020;76(2). Available from: https://dx.doi.org/10.1016/j.ergon.2020.102927
Grimes P, Legg S. Musculoskeletal Disorders (MSD) in School Students as a Risk Factor for Adult MSD: A Review of the Multiple Factors Affecting Posture, Comfort and Health in Classroom Environments. Journal of the Human-Environment System. 2004;7(1):1–9. Available from: https://dx.doi.org/10.1618/jhes.7.1
Hossain M, Ahmed M. An anthropometric study to determine the mismatches of furniture used by Bangladeshi University students. In: Proceedings of the International Conference on Design and Concurrent Engineering. 2010.
Parcells C, Stommel M, Hubbard RP. Mismatch of classroom furniture and student body dimensions. Journal of Adolescent Health. 1999;24(4):265–273. Available from: https://dx.doi.org/10.1016/s1054-139x(98)00113-x
Bhuiyan TH, Hossain MSJ. University hall furniture design based on anthropometry: an artificial neural network approach. International Journal of Industrial and Systems Engineering. 2015;20(4). Available from: https://dx.doi.org/10.1504/ijise.2015.070184
Bonin D, Ackermann A, Radke D, Peters M, Wischniewski S. Anthropometric dataset for the German working-age population using 3D body scans from a regional epidemiological health study and a weighting algorithm. Ergonomics. 2023;66(8):1057–1071. Available from: https://dx.doi.org/10.1080/00140139.2022.2130440
Agha SR, Alnahhal MJ. Neural network and multiple linear regression to predict school children dimensions for ergonomic school furniture design. Applied Ergonomics. 2012;43(6):979–984. Available from: https://dx.doi.org/10.1016/j.apergo.2012.01.007
Asadujjaman M, Billal MM, Sarkar MR, Rabbani MG. The estimation of different body dimensions from stature in Bangladeshi male population. Human Factors and Ergonomics Journal. 2017;2(3):1–6. Available from: https://hfej.hfem.org/wp-content/uploads/2019/05/Paper-1-The-Estimation-of-Different-Body-Dimensions-from-Stature-in-Bangladeshi-Male-Population.pdf
Montgomery DC, Runger GC. Applied statistics and probability for Engineers. (pp. 1-790) United States of America. John Wiley and Sons, Inc. 2007.
Corwin HL, Sprague SM, DeLaria GA, Norusis MJ. Acute renal failure associated with cardiac operations. The Journal of Thoracic and Cardiovascular Surgery. 1989;98(6):1107–1112. Available from: https://dx.doi.org/10.1016/s0022-5223(19)34326-0
Basic human body measurements for technological design Part 1: Body measurement definitions and landmarks. Geneva. International Organization for Standardization. 2017. Available from: https://www.iso.org/standard/65246.html
Tosi F. Design for Ergonomics. In: Design for Ergonomics, Springer Series in Design and Innovation. (Vol. 2, pp. 31-45) Springer, Cham. 2019.
Lee YC, Chen CH, Lee CH. Body anthropometric measurements of Singaporean adult and elderly population. Measurement. 2019;148. Available from: https://dx.doi.org/10.1016/j.measurement.2019.106949
Albin T, Molenbroek J. Introduction to the Special Issue, Anthropometry in Design. Ergonomics in Design: The Quarterly of Human Factors Applications. 2023;31(3):3–6. Available from: https://dx.doi.org/10.1177/10648046231168448
Castellucci HI, Viviani CA, Molenbroek JFM, Arezes PM, Martínez M, Aparici V, et al. Anthropometric characteristics of Chilean workers for ergonomic and design purposes. Ergonomics. 2019;62(3):459–474. Available from: https://dx.doi.org/10.1080/00140139.2018.1540725
Poursadeqiyan M, Arefi MF, Pouya AB. Investigating the match between anthropometric measures and the classroom furniture dimensions in Iranian students with health approach: A systematic review. Journal of Education and Health Promotion. 2021;10(1):1–6. Available from: https://dx.doi.org/10.4103/jehp.jehp_516_20
Obinna FP, Sunday AA, Babatunde O. Ergonomic assessment and health implications of classroom furniture designs in secondary schools: a case study. Theoretical Issues in Ergonomics Science. 2021;22(1):1–14. Available from: https://dx.doi.org/10.1080/1463922x.2020.1753259
Alleva JM, Tylka TL. Body functionality: A review of the literature. Body Image. 2021;36:149–171. Available from: https://dx.doi.org/10.1016/j.bodyim.2020.11.006
Syed A, Qutubuddin SM, Hebbal SS. Anthropometric Analysis of Classroom Furniture Used in Colleges. International Journal of Engineering Research and Development. 2012;3(10):1–7. Available from: https://api.semanticscholar.org/CorpusID:12798610
Thariq MGM, Munasinghe HP, Abeysekara JD. Designing chairs with mounted desktop for university students: Ergonomics and comfort. International Journal of Industrial Ergonomics. 2010;40(1):8–18. Available from: https://dx.doi.org/10.1016/j.ergon.2009.10.003
Alrashdan A, Alsudairi L, Alqaddoumi A. Anthropometry of Saudi Arabian female college students. In: Proceedings of the 2014 Industrial and Systems Engineering Research Conference. (pp. 4075-4083) 2014.
Wang X, Cardoso M, Beurier G. Effects of seat parameters and sitters’ anthropometric dimensions on seat profile and optimal compressed seat pan surface. Applied Ergonomics. 2018;73:13–21. Available from: https://dx.doi.org/10.1016/j.apergo.2018.05.015
Johnson A, Williams B. The impact of seat width on seating comfort and performance. Ergonomics in Education Journal. 2015;10(2):45–57.
JC, . Anthropometric for designers (1). (pp. 1-176) London. B.T. Batsford Ltd. 1971.

Copyright

© 2024 Adu et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Published By Indian Society for Education and Environment (iSee)