Influence of cell phone email use on characteristics of gait

Abstract Previously, gait had been considered an automatic and rhythmical movement that uses minimal attentional resources. The relationship between attention and gait has been revealed in recent research. However, in young adults in particular, the influence of using a cell phone – which is used frequently in daily life and considered to require high attentional demands – on gait has not been demonstrated. In this study, we examined the influence of mobile phone use on gait. Thirty healthy college students (15 males, 15 females) walked through a normal straight course with or without an obstacle under two different walking conditions while either using the email function of the cell phone or walking without a cell phone. The participants walked at a normal speed on a 10-m walkway. In walking conditions with an obstacle, an obstacle (17 cm in height) was set at the mid-point of the walkway. The following gait parameters were calculated: velocity, stride length, stride width (cm), and stance phase of one foot (just before an obstacle, one and two steps before the obstacle). Velocity and stride width decreased and the stance phase increased during walking while operating a cell phone. The stance phase just before an obstacle and stride length increased while operating a cell phone with an obstacle in the way. Gaze fixations and the high attention required to use the email function of the device may result in greatly disturbed gait.

[1]  C. Bard,et al.  Attentional demands for static and dynamic equilibrium , 2004, Experimental Brain Research.

[2]  Renato Moraes,et al.  The effects of distant and on-line visual information on the control of approach phase and step over an obstacle during locomotion , 2004, Experimental Brain Research.

[3]  A J McKnight,et al.  The effect of cellular phone use upon driver attention. , 1993, Accident; analysis and prevention.

[4]  S. Grillner.  Control of Locomotion in Bipeds, Tetrapods, and Fish , 1981 .

[5]  J. Medeiros,et al.  Does fear of falling influence spatial and temporal gait parameters in elderly persons beyond changes associated with normal aging? , 2005, The journals of gerontology. Series A, Biological sciences and medical sciences.

[6]  Bernhard Holzner,et al.  Hands‐free mobile phone conversation impairs the peripheral visual system to an extent comparable to an alcohol level of 4–5 g 100 ml , 2005, Human psychopharmacology.

[7]  A. Patla.  How Is Human Gait Controlled by Vision , 1998 .

[8]  John Archea,et al.  Study of factors associated with risk of work-related stairway falls , 1985 .

[9]  Nicholas Stergiou,et al.  Original investigation correlated joint fluctuations can influence the selection of steady state gait patterns in the elderly. , 2006, Gait & posture.

[10]  W Poewe,et al.  Influence of Concurrent Tasks on Gait: A Dual-Task Approach , 1995, Perceptual and motor skills.

[11]  A. Patla,et al.  Visual control of locomotion: strategies for changing direction and for going over obstacles. , 1991, Journal of experimental psychology. Human perception and performance.

[12]  J. Duysens,et al.  Older women strongly prefer stride lengthening to shortening in avoiding obstacles , 2005, Experimental Brain Research.

[13]  Moshe Eizenman,et al.  An on-road assessment of cognitive distraction: impacts on drivers' visual behavior and braking performance. , 2007, Accident; analysis and prevention.

[14]  Kiyoko Kamibeppu,et al.  Impact of the Mobile Phone on Junior High-School Students' Friendships in the Tokyo Metropolitan Area , 2005, Cyberpsychology Behav. Soc. Netw..

[15]  Julie Hatfield,et al.  The effects of mobile phone use on pedestrian crossing behaviour at signalized and unsignalized intersections. , 2007, Accident; analysis and prevention.

[16]  Michael A. Regan,et al.  Driver Distraction: Reflections on the Past, Present and Future , 2005 .

[17]  A E Patla,et al.  Where and when do we look as we approach and step over an obstacle in the travel path? , 1997, Neuroreport.

[18]  Masanobu Uchiyama,et al.  Proper assessment of the falling risk in the elderly by a physical mobility test with an obstacle. , 2007, The Tohoku journal of experimental medicine.

[19]  Susan J Hillman,et al.  Development of temporal and distance parameters of gait in normal children. , 2009, Gait & posture.

[20]  H Alm,et al.  Changes in driver behaviour as a function of handsfree mobile phones--a simulator study. , 1994, Accident; analysis and prevention.

[21]  M. Woollacott,et al.  Attention and the control of posture and gait: a review of an emerging area of research. , 2002, Gait & posture.

[22]  Marjorie H. Woollacott,et al.  Motor Control: Theory and Practical Applications , 1995 .

[23]  A. Patla,et al.  Visual control of limb trajectory over obstacles during locomotion: effect of obstacle height and width , 1993 .

[24]  Valdimar Briem,et al.  Behavioural effects of mobile telephone use during simulated driving. , 1995 .

[25]  David L. Strayer,et al.  Driven to Distraction: Dual-Task Studies of Simulated Driving and Conversing on a Cellular Telephone , 2001, Psychological science.

[26]  Christine Martin,et al.  Characteristics of voluntary visual sampling of the environment for safe locomotion over different terrains , 1996, Experimental Brain Research.

[27]  Brian E. Moyer,et al.  Gait parameters as predictors of slip severity in younger and older adults , 2006, Ergonomics.

[28]  J. Duysens,et al.  Step characteristics during obstacle avoidance in hemiplegic stroke , 2005, Experimental Brain Research.

[29]  Melvyn A. Goodale,et al.  Understanding the contribution of binocular vision to the control of adaptive locomotion , 2002, Experimental Brain Research.