한국전자통신학회논문지 (The Journal of the Korea institute of electronic communication sciences)

한국전자통신학회 (Korea Institute of Electronic Communication Science)
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스마트폰 사용이 건강한 성인의 보행패턴에 미치는 영향

Influence of Smart Phone Use on Gait Pattern in Healthy Adults

  • 문종훈 (인천사랑병원 재활의학과 작업치료실) ;
  • 김성현 (나사렛국제병원 재활의학과 물리치료실) ;
  • 나창호 (인천 글로리 병원 작업치료실) ;
  • 홍덕기 (원광대학교 작업치료학과, 건강증진연구소) ;
  • 허성진 (양산부산대학교병원 의생명융합연구소)
  • 투고 : 2017.11.06
  • 심사 : 2018.02.15
  • 발행 : 2018.02.28
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초록

본 연구는 스마트폰 사용이 건강한 성인의 보행패턴에 미치는 영향을 알고자 하였다. 건강한 성인 20명이 본 연구에 동원되었다. 모든 대상자는 보통보행과 스마트폰 보행을 각각 2회씩 수행하였다. 보통보행은 대상자가 선택한 속도로 걸었으며, 스마트폰 보행은 동영상 시청을 하면서 걸었다. 보행 동안 GAITRite 시스템을 이용하여 보행패턴과 관련된 시, 공간적 변수를 확인하였다. 통계분석은 두 보행에 대한 시, 공간적 변수를 비교하기 위하여 대응 표본 t 검정을 이용하였다. 시간적 변수비교에서 스마트폰 보행은 보통보행보다 보행속도, 분속수에서 유의하게 낮았으며(p<.05), 한쪽 다리 지지 시간, 양쪽 다리 지지 시간에서는 유의하게 길었다(p<.05). 공간적 변수 비교에서 스마트폰 보행은 보통보행보다 한 발짝 길이, 한걸음 길이에서 유의하게 짧았으며(p<.05), 보행 시 보간에서는 유의하게 길었다(p<.05). 본 연구의 결과는 보행 동안 스마트폰 사용이 올바른 보행패턴에 부정적인 영향을 줄 수 있음을 증명한다.

This study was to investigate the Influence of smart phone use on gait in healthy adults. Twenty healthy adults were recruited in this study. All subjects performed twice for each normal gait and smart phone gait. The normal gait walked at their chosen speed, and the smart phone gait walked while watching the video. GAITRite system was used to identify the temporal and spatial variables related to the gait pattern during walking. Statistical analysis was analyzed by paired t-test. In comparison of temporal variables, smart phone gait was significantly lower in gait speed and cadence than in normal gait(p<.05), and was significantly longer in single support time and double support time(p<.05). In comparison of spatial variables, smart phone gait was significantly shorter in step length and stride length than in normal gait(p<.05) and significantly longer in step width(p<.05). The results of this study demonstrated that smartphone use can negatively affect the correct gait patterns during walking.

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참고문헌

  1. Hsiao, M. H. and Chen, L. C., "Smart Phone Demand: An Empirical Study on the Relationships between Phone Handset," Internet Access and Mobile Services. Telematics and Informatics, vol. 32, no. 1, 2015, pp. 158-168.
  2. J. Moon and I. Park, "The Effects of Self-Exercise Based on Health Care Application on Upper Extremity Function and Daily Living, Satisfaction in Patients with Stroke," J. of the Korea Institute of Electronic Communication Sciences, vol. 12, no. 3, 2017, pp. 515-524. https://doi.org/10.13067/JKIECS.2017.12.3.515
  3. J. Moon and Y. Won, "Effects of orofacial exercises training program using smart phone on swallowing function and tongue strength in acute stroke patients with dysphagia," J. of the Korea Institute of Electronic Communication Sciences, vol. 11, no. 10, 2016, pp. 995-1002. https://doi.org/10.13067/JKIECS.2016.11.10.995
  4. J. Moon and Y. Won, "The Effects of Orofacial Training Video Program using Smart Device on Oral Cavity Structure and Function, Diadochokinetic Rate in Acute Stroke Patients with Dysarthria," J. of the Korea Institute of Electronic Communication Sciences, vol. 12, no. 4, 2017, pp. 1095-1104.
  5. J. Moon and Y. Won, "Effects of Cognitive Training Using Tablet PC Applications on Cognitive Function, Daily Living and Satisfaction in Subacute Stroke Patients," J. of the Korea Institute of Electronic Communication Sciences, vol. 12, no. 1, 2017, pp. 219-228. https://doi.org/10.13067/JKIECS.2017.12.1.219
  6. Korea Transportation Safety Authority. Investigation report for smartphone users during walking, 2013.
  7. Perry, J. and Davids, J. R., "Gait analysis: normal and pathological function," J. of Pediatric Orthopaedics, vol. 12, no. 6, 1992, pp. 815-821.
  8. Jordan, K., Challis, J. H., and Newell, K. M., "Walking speed influences on gait cycle variability," Gait & posture, vol. 26, no. 1, 2007, pp. 128-134. https://doi.org/10.1016/j.gaitpost.2006.08.010
  9. Jagos, H., Pils, K., Haller, M., Wassermann, C., Chhatwal, C., Rafolt, D., and Rattay, F., "Mobile gait analysis via eSHOEs instrumented shoe insoles: a pilot study for validation against the gold standard $GAITRite^{(R)}$," J. of Medical Engineering & Technology, vol. 3, no. 1, 2017, pp. 1-12. https://doi.org/10.3109/03091907909161595
  10. Neider, M. B., McCarley, J. S., Crowell, J. A., Kaczmarski, H., and Kramer, A. F., "Pedestrians, vehicles, and cell phones," Accident Analysis and Prevention, vol 42, no. 2, 2010, pp. 589-594. https://doi.org/10.1016/j.aap.2009.10.004
  11. Lamberg EM and Muratori LM. "Cell phones change the way we walk," Gait and Posture, vol. 35, no. 4, 2012, pp. 688-690. https://doi.org/10.1016/j.gaitpost.2011.12.005
  12. Y. Yu, S. Kim, and S. Kong, "Effects of Smart Phone Use on Pedestrian Crossing," The J. of Kinesiology, 2016, vol. 18, no. 2, pp. 33-41.
  13. H. Park and S. Park, "Effects of Smart-phone Use on Gait Biomechanics and Auditory Cognition," J. of Sport and Leisure Studies, vol. 64, no. 1, 2016, pp. 783-795.
  14. McDonough AL, Batavia M, Chen FC, Kwon S, Ziai J. "The validity and reliability of the GAITRite system's measurements: A preliminary evaluation," Archives of Physical Medicine and Rehabilitation, vol. 82, no. 3, 2001, pp. 419-425. https://doi.org/10.1053/apmr.2001.19778
  15. Grabiner MD and Troy KL., "Attention demanding tasks during treadmill walking reduce step width variability in young adults," J. of Neuroengineering and Rehabilitation, vol. 25, no. 2, 2005, pp. 132-139.
  16. Siu KC, Chou LS, Mayr U, van Donkelaar P, Woollacott MH. "Attentional mechanisms contributing to balance constraints during gait: The effects of balance impairments," Brain Research, vol. 1248, no. 3, 2009, pp. 59-67. https://doi.org/10.1016/j.brainres.2008.10.078