Yürürken Telefon Kullanımı Yürümenin Spatio-temporal Karakteristiklerini Etkiler mi?

Telefon kullanımı günlük hayatımızın vazgeçilmez bir parçası olup, bize pek çok alanda kolaylık sağlamaktadır. Ancak, alışkanlık yapması nedeniyle pek çok olumsuzluğu da beraberinde getirmektedir. Gün içinde pek çok işi yaparken telefon kullanımının devam etmesi yapılan işe odaklanmayı zorlaştırmaktadır. Bu durum, kaza veya yaralanmalarla sonuçlanabilmektedir. Bu çalışmanın amacı, yürürken telefon kullanımının yürümenin spatio-temporal karakteristikleri üzerindeki etkisini araştırmaktır. Çalışmaya 20-30 yaş arası 53 gönüllü sağlıklı birey (yaş ortalaması:23,00±1,60 yıl; 31 kadın, 22 erkek) dahil edildi. Çalışmanın başlangıcında bireylerin 10 metrelik mesafeyi kendi yürüme hızlarında yürümesi istendi. Daha sonra 10 metrelik mesafeyi sırasıyla cep telefonunda müzik dinleyerek, metin yazarak, sosyal medyada dolaşarak ve oyun oynayarak tamamlaması istendi. Bütün bu aktiviteler sırasında bireylerin yürüme karakteristikleri BTS G-Walk Yürüme Analiz Sistemi kullanılarak yürüme hızı, kadans, adım uzunluğu, çift adım uzunluğu, duruş fazı, sallanma fazı, yürüme kalitesi ve pelvis simetrisi kaydedilmiştir. Yürüme sırasında cep telefonu kullanımı nedeniyle yürüyüşün hızı, kadansı, çift adım uzunluğu, duruş fazı, sallanma fazı ve pelvik rotasyon simetrisinde belirgin bozukluklar görülmüştür (p

Does Telephone Use While Walking Affect Spatio-temporal Characteristics of Gait?

Telephone use is an indispensable part of our daily life and provides us convenience in many areas. However, it brings with it many negativities due to its habit-forming. Continuing to use the phone while doing many things during the day makes it difficult to focus on the work being done. This may result in an accident or injury. The aim of this study is to investigate the effect of phone use while walking on the spatio-temporal characteristics of gait. Fifty-three healthy volunteers aged 20-30 years (mean age: 23.00±1.60 years; 31 females, 22 males) were included in the study. At the beginning of the study, individuals were asked to walk 10 meters at their own walking speed. Afterwards, they were asked to complete the 10-meter distance by listening to music on the cell phone, texting, surfing social media and playing games, respectively. During all these activities, the gait characteristics of individuals were recorded using the BTS G-Walk Gait Analysis System, such as gait speed, cadence, step length, stride length, stance phase, swing phase, gait quality and pelvic symmetry. Significant disturbances in gait speed, cadence, stride length, stance phase, swing phase and symmetry of pelvic rotation were observed due to cell phone use during walking (p

___

  • Crowley, P., Madeleine, P., & Vuillerme, N. (2019). The effects of mobile phone use on walking: a dual task study. BMC Research Notes, 12(1), 1-6.
  • Goddard, E. C., Remler, P. T., Roos, R. H., & Turchyn, R. (2018). The Effect of Texting on Balance and Temporospatial Aspects of Gait. Western Undergraduate Research Journal: Health and Natural Sciences, 9(1).
  • Gouelle, A., Mégrot, F., & Müller, B. (2018). Interpreting spatiotemporal parameters, symmetry, and variability in clinical gait analysis. Handbook of Human Motion, eds. B. Müller, SI Wolf, GP Brueggemann, Z. Deng, A. McIntosh, F. Miller, and WS Selbie (Cham: Springer International Publishing), 689-707.
  • Haga, S., Sano, A., Sekine, Y., Sato, H., Yamaguchi, S., & Masuda, K. (2015). Effects of using a smart phone on pedestrians’ attention and walking. Procedia Manufacturing, 3, 2574-2580.
  • Hollman, J. H., Kovash, F. M., Kubik, J. J., & Linbo, R. A. (2007). Age-related differences in spatiotemporal markers of gait stability during dual task walking. Gait & Posture, 26(1), 113-119.
  • Laatar, R., Kachouri, H., Borji, R., Rebai, H., & Sahli, S. (2017). The effect of cell phone use on postural balance and mobility in older compared to young adults. Physiology & Behavior, 173, 293-297.
  • Moyer, B. E., Chambers, A. J., Redfern, M. S., & Cham, R. (2006). Gait parameters as predictors of slip severity in younger and older adults. Ergonomics, 49(4), 329-343.
  • Mustafaoglu, R., Yasaci, Z., Zirek, E., Griffiths, M. D., & Ozdincler, A. R. (2021). The relationship between smartphone addiction and musculoskeletal pain prevalence among young population: a cross-sectional study. The Korean Journal of Pain, 34(1), 72.
  • Nasar, J. L., & Troyer, D. (2013). Pedestrian injuries due to mobile phone use in public places. Accident Analysis & Prevention, 57, 91-95.
  • Oliver, B., & Goerke, V. (2007). Australian undergraduates' use and ownership of emerging technologies: Implications and opportunities for creating engaging learning experiences for the Net Generation. Australasian Journal of Educational Technology, 23(2).
  • Onofrei, R. R., Amaricai, E., Suciu, O., David, V. L., Rata, A. L., & Hogea, E. (2020). Smartphone use and postural balance in healthy young adults. International Journal of Environmental Research and Public Health, 17(9), 3307.
  • Unal, A., Altug, F., Tikac, G., & Cavlak, U. (2021). Effectiveness of matrix-rhythm therapy on increased muscle tone, balance and gait parameters in stroke survivors: a single-blinded, randomized, controlled clinical trial. Acta Neurologica Belgica, 121(3), 689-699.
  • Yang, X., Yip, B. H., LEE, K. P. E., Zhang, D. D., & Wong, S. Y. S. (2021). The relationship between technology use and problem technology use and potential psychosocial mechanisms: Population-based telephone survey in community adults during COVID-19. Frontiers in Psychology, 12, 2487.
  • Yen, C. F., Tang, T. C., Yen, J. Y., Lin, H. C., Huang, C. F., Liu, S. C., & Ko, C. H. (2009). Symptoms of problematic cellular phone use, functional impairment and its association with depression among adolescents in Southern Taiwan. Journal of Adolescence, 32(4), 863-873.