Exploratory Data Driven Insights on Lower Limb Health of Female Teaching Professionals: A Survey
Published 2026-06-16
Keywords
- Gait,
- Gait Analysis,
- Data driven analysis,
- female teaching professionals,
- educators
- health,
- ergonomics ...More
Copyright (c) 2026

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Abstract
Gait or walking is a fundamental activity that has an influ-ence over our health. Variations in gait or walking patterns among female teaching professionals is prevalent. This survey discusses the data driven analysis related to work habits, physical health and lower limb health. The main aim of this study is how these factors affect the overall gait health of the individual. A survey was conducted on 46 female teaching professionals in higher education where they responded to the questions on their ergonomic, health and lower limb conditions. A data driven analysis was conducted on the data to answer the research questions. The data-driven analysis reveals that long standing hours at work, type of shoes worn and the presence of symptoms in the lower limbs alleviate the pain and discomfort felt by female teaching professionals. Interventions in ergonomic conditions and sensitisation of health education is needed to curb the presence of such conditions which leads to mus-culoskeletal disorders. This study helps to understand the small change in lifestyle may provide safer gait and how the regular physical activities can be corrected if required.
References
- Hulleck, A. A., Menoth Mohan, D., Abdallah, N., El Rich, M., & Khalaf, K. (2022). Present and future of gait assessment in clinical practice: Towards the application of novel trends and technologies. Frontiers in Medical Technology, 4:901331. doi: 10.3389/fmedt.2022.901331
- Does Prolonged Standing at Work among Teachers Associated with Musculoskeletal Disorders (MSDs)? Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, 2020.
- Tahernejad S, Hejazi A, Rezaei E, Makki F, Sahebi A and Zan-giabadi Z (2024) Musculoskeletal disorders among teachers: a systematic review and meta-analysis. Front. Public Health. 12:1399552. doi: 10.3389/fpubh.2024.1399552
- Lev Velykoivanenko, Kavous Salehzadeh Niksirat, Stefan Te-ofanovic, Bertil Chapuis, Michelle L. Mazurek, and K´evin
- Huguenin. 2024. Designing a Data-Driven Survey System: Leveraging Participants’ Online Data to Personalize Surveys. In Proceedings of the 2024 CHI Conference on Human Fac-tors in Computing Systems (CHI ’24). Association for Com-puting Machinery, New York, NY, USA, Article 498, 1–22. https://doi.org/10.1145/3613904.3642572
- Ghani HA, Alghwiri AA, Hisham H, Manaf H. Lower Limb Mus-cle Fatigue Alters Spatiotemporal Gait Parameters and Turning Difficulty Characteristics in Parkinson’s Disease. Ann Rehabil Med. 2023 Aug;47(4):282-290. doi: 10.5535/arm.23067. Epub 2023 Aug 9. PMID: 37558204; PMCID: PMC10475814.
- Ciprandi D, Bertozzi F, Zago M, Ferreira CLP, Boari G, Sforza C, Galvani C. Study of the association between gait variability and physical activity. Eur Rev Aging Phys Act. 2017 Nov 15;14:19. doi: 10.1186/s11556-017-0188-0. PMID: 29177018; PMCID: PMC5688736.
- Flourish Studio. Link: https://flourish.studio/
- Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum Associates.
- Warmerdam E, Wolff C, Orth M, Pohlemann T, Ganse B. Long-term continuous instrumented insole-based gait anal-yses in daily life have advantages over longitudinal gait analyses in the lab to monitor healing of tibial frac-tures. Front Bioeng Biotechnol. 2024 Mar 1;12:1355254. doi: 10.3389/fbioe.2024.1355254. PMID: 38497053; PMCID: PMC10940326.
- Armand S, Sawacha Z, Goudriaan M, Horsak B, van der Krogt M, Huenaerts C, Daly C, Kranzl A, Boehm H, Petrarca M, Guiotto A, Merlo A, Spolaor F, Campanini I, Cosma M, Hallemans A, Horemans H, Gasq D, Moissenet F, Assi A, Sangeux M. Current practices in clinical gait analysis in Eu-rope: A comprehensive survey-based study from the Euro-pean society for movement analysis in adults and children (ES-MAC) standard initiative. Gait Posture. 2024 Jun;111:65-74. doi: 10.1016/j.gaitpost.2024.04.014. Epub 2024 Apr 22. PMID: 38653178.
- Hummel J, Schwenk M, Seebacher D, Barzyk P, Liepert J, Stein
- M. Clustering Approaches for Gait Analysis within Neurologi-cal Disorders: A Narrative Review. Digit Biomark. 2024 May 8;8(1):93-101. doi: 10.1159/000538270. PMID: 38721018; PMCID: PMC11078540.