Ofis Mobilyasının Antropometrik Uygunluğunun Mobil, Masaüstü ve Web Yazılım Platformları ile Değerlendirilmesi ve Postür Egzersiz Eğitimi-Bir Aplikasyon Çalışması

Year 2021, Volume: 3 Issue: 2, 52 - 56, 06.05.2021

Filiz Özdemir , Şeyma Toy , Fatma Kızılay , Ali Arı , Mustafa Özdemir

https://doi.org/10.37990/medr.853959

Abstract

Amaç: Ofis çalışanlarında işe bağlı kas-iskelet sistemi hastalıkları ve şikayetleri yaygın olarak görülmektedir. Bu problemler bireylerin yaşam kalitesini ve iş verimini etkilemektedir. Bu çalışmanın amacı, ofis mobilyasının antropometrik uygunluğunun değerlendirildiği ve kişiye özel planlanmış postür egzersiz eğitiminin yer aldığı mobil ve masaüstü yazılım platformları geliştirmektir.
Materyal ve Metot: Tasarlanan uygulama toplam 4 modülden oluşmaktadır. Birinci ve ikinci modüllerde uyumluluk ve uyumsuzlukları sınıflandırmak için bir uygulama tasarlandı. Üçüncü ve dördüncü modülller ise kişiye özel egzersiz tanımını ve takibinin yapılması için tasarlandı. Bulgular: Uygulama kapsamında 4 modül tek bir uygulamada birleştirildi. Ofis mobilyasının antropometrik uygunluğunun değerlendirildiği ve ofis mobilyasının uyumluluğunun hesaplandığı modüller; birinci ve ikinci modüldür. Üçüncü modül egzersizin tanımını içermektedir. Dördüncü modül, egzersiz programının takibini içermektedir.
Sonuç: Ofis çalışanlarında sağlığın korunması ve geliştirilmesinde rol alması amacı ile bu uygulama geliştirildi. Geliştirilen insan odaklı bu ürünün iş ortamında ortaya çıkabilecek sağlık problemlerini azaltarak verimliliği ve yaşam kalitesini arttırabileceğini düşünmekteyiz.

Keywords

İşle ilgili kas-iskelet sistemi problemleri, Ofis çalışanları, antropometri, egzersiz, aplikasyon

Supporting Institution

İNÖNÜ ÜNİVERSİTESİ BAP BİRİMİ

Project Number

TSA-2019-1672

Evaluation of Anthropometric Compatibility of Office Furniture with Mobile, Desktop and Web Software Platforms and Posture Exercise Program- An Application-Based Study

Abstract

Aim: Work-related musculoskeletal disorders (WMSDs) have been observed commonly in office workers with the development of technology. These problems affect the quality of life for individuals and also productivity in the workplace. The aim of this study is to design an application in which the anthropometric compatibility of office furniture is evaluated and individualized planned posture exercise training is included.
Material and Method: The designed application consists of 4 modules. An application has been designed to classify the compatibility and incompatibilities in the first and second modules. The third and fourth modules are designed for personalized exercise definition and follow-up.
Results: Within the scope of the application, 4 modules were combined in a single application. The modules that evaluate the anthropometric suitability of office furniture and calculate the compatibility of office furniture; it is the first and second module. The third module contains the definition of the exercise. The fourth module includes the follow-up of the exercise program.
Conclusion: It is obvious that the current designed application will provide innovation to work health. Based on our hypothesis, we think that the designed application will also be effective for health protection and promotion in office workers.

Keywords

Work-related musculoskeletal disorders,, anthropometry,, exercise,, office workers,, application

Project Number

TSA-2019-1672

References

• [1] E. Ozcan, S. Esmaeilzadeh and H. Basat. Upper extremity work-related musculoskeletal disorders among computer users and effectiveness of ergonomic interventions. Turkish Journal of Physical Medicine and Rehabilitation. 2011; 57: 236–241. doi: 10.4274/tftr.49091
• [2] M. Hagberg, R. Vilhemsson, E.W. Tornqvist and A.Toomingas, Incidence of self-reported reduced productivity owing to musculoskeletal symptoms: associations with work place and individual factors among computer users. Ergonomics. 2007; (50): 1820–1834. doi: 10.1080/00140130701674539
• [3] A. Tekeoğlu, I. Yeldan, T. Kuru, Y. A. Akbaba, D. Tarakçı, A. Kostanoğlu and A. Zengin, Assessment results for neck and back pain in workers with computer. Cerrahpaşa Journal of Medicine 2018; 42 (1): 75–79. doi: 10.26650/cjm.2018.42.1.1
• [4] F. Gerr, M. Marcus and C. Monteilh, Epidemiology of musculoskeletal disorders among computer users: lesson learned from the role of posture and keyboard use. Journal of Electromyography and Kinesiology. 2004; 14 (1): 25–31. doi: 10.1016/j.jelekin.2003.09.014
• [5] C. C. Gordon and B. Bradtmiller, Anthropometric change: implications for office ergonomics. Work. 2012; 41 (1): 4606–4611. doi: 10.3233/WOR-2012-0076-4606
• [6] B. M. Blatter and P. M. Bongers, Duration of computer use and mouse use in relation to musculoskeletal disorders of neck or upper limb, International Journal of Industrial Ergonomics. 2002; 30 (4-5): 295–306. doi: 10.1016/S0169-8141(02)00132-4
• [7] I. Nnanna, N. Chukwunonso, O. O. Geoffrey and J. B. Otuu, Design of Office Furniture According to a Human Anthropometric Data, School of Engineering Technology ConferenceAt: Akanu Ibiam Federal Polytechnic Unwana, Ebonyi State, Nigeria, 2016.
• [8] Liu, K., Zhang, L., Zhu, C., Zhao, X., Lu, W., Li, M., & Wang, J.. An analysis of influence factors of sports bra comfort evaluation based on different sizes. The Journal of The Textile Institute. 2019; 110(12): 1792-1799.
• [9] Rativa, D., Fernandes, B. J., & Roque, A. Height and weight estimation from anthropometric measurements using machine learning regressions. IEEE journal of translational engineering in health and medicine. 2018; (6); 1-9.
• [10] F. Gerr, M. Marcus and C. Monteilh, Epidemiology of musculoskeletal disorders among computer users: lesson learned from the role of posture and keyboard use, Journal of Electromyography and Kinesiology. 2004; 14(1)25–31. doi: 10.1016/j.jelekin.2003.09.014
• [11] Amick III, B. C., Robertson, M. M., DeRango, K., Bazzani, L., Moore, A., Rooney, T., & Harrist, R. Effect of office ergonomics intervention on reducing musculoskeletal symptoms. Spine. 2003; 28(24):2706-2711.
• [12] Mohammadipour F, Pourranjbar M, Naderi S, Forouzan Rafie F. Work-related Musculoskeletal Disorders in Iranian Office Workers: Prevalence and Risk Factors. Journal of Medicine and Life. 2018; 11(4):328-333.
• [13] Onishi T, Kurimoto S, Suzuki M, et al., Work-Related Musculoskeletal Disorders in The Upper Extremity Among the Staff of a Japanese University Hospital. International Archives of Occupational and Environmental Health 2014; 87(5):547–55.
• [14] F. Yılmaz, F. Sahin and B. Kuran, Work related musculoskeletal disorders and therapy, Nobel Medicus. 2006; 2(3): 15–22.
• [15] E. P. Takala, Ergonomic interventions and prevention-a need for better understanding of implementation, Scandinavian Journal of Work, Environment & Health. 2018; 44(2):111–112. doi: 10.5271/sjweh.3710
• [16] Cancelliere C, Cassidy JD, Ammendolia C, Côté P. Are workplace health promotion programs effective at improving presenteeism in workers? A systematic review and best evidence synthesis of the literature. BMC Public Health. 2011; 11(1):395.
• [17] Lee, J., Lee, M., Lim, T., Kim, T., Kim, S., Suh, D., ... & Yoon, B. Effectiveness of an application-based neck exercise as a pain management tool for office workers with chronic neck pain and functional disability: a pilot randomized trial. European Journal of Integrative Medicine. 2017; 12: 87-92.
• [18] Ryu, H., Jung, J., & Moon, J. Health promotion program for office workers with SEM based on the WHO’s healthy workplace framework. Health Promotion International. 2020.
• [19] E. Acık, H. Kayıhan and O. T. Aran, Investigation of anthropometric suitability of school furniture in primary schools—a pilot study, Journal of Occupational Therapy and Rehabilitation. 2014; 2 (3): 131–140.
• [20] Panagiotopoulou, G., Christoulas, K., Papanckolaou, A., Mandroukas, K. Classroom furniture dimensions and anthropometric measures in primary school. Appl Ergon. 2004;35(2): 121-128. doi: 10.1016/j.apergo.2003.11.002.
• [21] G. B. Huang, Q. Y. Zhu and C. K. Siew, Extreme learning machine: theory and applications. Neurocomputing. 2006; 70 (1–3): 489–501. doi: 10.1016/j.neucom.2005.12.126