Mobile phone use affects the dynamics of gait by impairing visual control of the surrounding environment and introducing additional cognitive demands. Although it has been shown that using a mobile phone alters whole-body dynamic stability, no clear information exists on its impacts on motor variability during gait. This study aimed at assessing the impacts of various types of mobile phone use on motor variability during gait; quantified using the short- and long-term Lyapunov Exponent (λS and λL) of lower limb joint angles and muscle activation patterns, as well as the centre of mass position. Fourteen females and Fifteen males (27.72 ± 4.61 years, body mass: 70.24 ± 14.13 Kg, height: 173.31 ± 10.97 cm) walked on a treadmill under six conditions: normal walking, normal walking in low-light, walking while looking at the phone, walking while looking at the phone in low-light, walking and talking on the phone, and walking and listening to music. Variability of the hip (p λS = .015, λL = .043) and pelvis (p λS = .039, λL = .017) joint sagittal angles significantly increased when the participants walked and looked at the phone, either in normal or in low-light conditions. No significant difference was observed in the variability of the centre of mass position and muscle activation patterns. When individuals walk and look at the phone screen, the hip and knee joints are constantly trying to adopt a new angle to regulate and maintain gait stability, which might put an additional strain on the neuromuscular system. To this end, it is recommended not to look at the mobile phone screen while walking, particularly in public places with higher risks of falls.

Faculty of Health Sciences School of Human Kinetics University of Ottawa Ottawa Canada

Faculty of Physical Culture Department of Natural Sciences in Kinanthropology Palacky University Olomouc Olomouc Czech Republic

Faculty of Physical Education and Sport Sciences Department of Biomechanics and Sports Injuries Kharazmi University Tehran Iran

See more in PubMed

Kim S-H, Jung J-H, Shin H-j, Hahm S-C, Cho H The impact of smartphone use on gait in young adults: Cognitive load vs posture of texting. PloS one. 2020;15(10):e0240118. doi: 10.1371/journal.pone.0240118 PubMed DOI PMC

Agostini V, Fermo FL, Massazza G, Knaflitz M. Does texting while walking really affect gait in young adults? Journal of neuroengineering and rehabilitation. 2015;12(1):1–10. doi: 10.1186/s12984-015-0079-4 PubMed DOI PMC

Magnani RM, Lehnen GC, Rodrigues FB, e Souza GSdS, de Oliveira Andrade A, Vieira MF. Local dynamic stability and gait variability during attentional tasks in young adults. Gait & posture. 2017;55:105–8. doi: 10.1016/j.gaitpost.2017.04.019 PubMed DOI

Schaefer S, Jagenow D, Verrel J, Lindenberger U. The influence of cognitive load and walking speed on gait regularity in children and young adults. Gait & posture. 2015;41(1):258–62. doi: 10.1016/j.gaitpost.2014.10.013 PubMed DOI

Lim J, Chang SH, Lee J, Kim K. Effects of smartphone texting on the visual perception and dynamic walking stability. Journal of exercise rehabilitation. 2017;13(1):48. doi: 10.12965/jer.1732920.460 PubMed DOI PMC

Crowley P, Vuillerme N, Samani A, Madeleine P. The effects of walking speed and mobile phone use on the walking dynamics of young adults. Scientific reports. 2021;11(1):1–10. doi: 10.1038/s41598-020-79139-8 PubMed DOI PMC

Plummer P, Apple S, Dowd C, Keith E. Texting and walking: Effect of environmental setting and task prioritization on dual-task interference in healthy young adults. Gait & posture. 2015;41(1):46–51. doi: 10.1016/j.gaitpost.2014.08.007 PubMed DOI

Yogev‐Seligmann G, Hausdorff JM, Giladi N. The role of executive function and attention in gait. Movement disorders: official journal of the Movement Disorder Society. 2008;23(3):329–42. PubMed PMC

Yogev-Seligmann G, Sprecher E, Kodesh E. The effect of external and internal focus of attention on gait variability in older adults. Journal of motor behavior. 2017;49(2):179–84. doi: 10.1080/00222895.2016.1169983 PubMed DOI

Sarvestan J, Ataabadi PA, Yazdanbakhsh F, Abbasi S, Abbasi A, Svoboda Z. Lower Limb Joint Angles and Their Variability during Uphill Walking. Gait & Posture. 2021. doi: 10.1016/j.gaitpost.2021.09.195 PubMed DOI

Kao P-C, Higginson CI, Seymour K, Kamerdze M, Higginson JS. Walking stability during cell phone use in healthy adults. Gait & posture. 2015;41(4):947–53. doi: 10.1016/j.gaitpost.2015.03.347 PubMed DOI PMC

Mehdizadeh S. A robust method to estimate the largest lyapunov exponent of noisy signals: a revision to the rosenstein’s algorithm. Journal of biomechanics. 2019;85:84–91. doi: 10.1016/j.jbiomech.2019.01.013 PubMed DOI

Hamacher D, Hamacher D, Törpel A, Krowicki M, Herold F, Schega L. The reliability of local dynamic stability in walking while texting and performing an arithmetical problem. Gait & posture. 2016;44:200–3. doi: 10.1016/j.gaitpost.2015.12.021 PubMed DOI

Walsh GS, Harrison I. Gait and neuromuscular dynamics during level and uphill walking carrying military loads. European Journal of Sport Science. 2021:1–10. doi: 10.1080/17461391.2021.1953154 PubMed DOI

Graham RB, Brown SH. Local dynamic stability of spine muscle activation and stiffness patterns during repetitive lifting. Journal of biomechanical engineering. 2014;136(12). doi: 10.1115/1.4028818 PubMed DOI

Choi S, Kim M, Kim E, Shin G. Changes in Low Back Muscle Activity and Spine Kinematics in Response to Smartphone Use During Walking. Spine. 2021;46(7):E426–E32. doi: 10.1097/BRS.0000000000003808 PubMed DOI

Graham RB, Oikawa LY, Ross GB. Comparing the local dynamic stability of trunk movements between varsity athletes with and without non-specific low back pain. Journal of Biomechanics. 2014;47(6):1459–64. doi: 10.1016/j.jbiomech.2014.01.033 PubMed DOI

Abbasi A, Zamanian M, Svoboda Z. Nonlinear approach to study the acute effects of static and dynamic stretching on local dynamic stability in lower extremity joint kinematics and muscular activity during pedalling. Human movement science. 2019;66:440–8. doi: 10.1016/j.humov.2019.05.025 PubMed DOI

Erdfelder E, Faul F, Buchner A. GPOWER: A general power analysis program. Behavior research methods, instruments, & computers. 1996;28(1):1–11.

Faul F, Erdfelder E. GPOWER: A priori, post-hoc, and compromise power analyses for MS-DOS [Computer program]. Bonn, FRG: Bonn University, Department of Psychology. 1992.

van Melick N, Meddeler BM, Hoogeboom TJ, Nijhuis-van der Sanden MW, van Cingel RE. How to determine leg dominance: The agreement between self-reported and observed performance in healthy adults. PloS one. 2017;12(12):e0189876. doi: 10.1371/journal.pone.0189876 PubMed DOI PMC

Barbero M, Merletti R, Rainoldi A. Atlas of muscle innervation zones: understanding surface electromyography and its applications: Springer Science & Business Media; 2012.

Talib I, Sundaraj K, Lam CK, Hussain J, Ali MA. A review on crosstalk in myographic signals. European journal of applied physiology. 2019;119(1):9–28. doi: 10.1007/s00421-018-3994-9 PubMed DOI

Mehdizadeh S, Arshi AR, Davids K. Effect of speed on local dynamic stability of locomotion under different task constraints in running. European journal of sport science. 2014;14(8):791–8. doi: 10.1080/17461391.2014.905986 PubMed DOI

Thies SB, Richardson JK, DeMott T, Ashton-Miller JA. Influence of an irregular surface and low light on the step variability of patients with peripheral neuropathy during level gait. Gait & posture. 2005;22(1):40–5. doi: 10.1016/j.gaitpost.2004.06.006 PubMed DOI

Sarvestan J, Svoboda Z, Linduška P. Kinematic differences between successful and faulty spikes in young volleyball players. Journal of sports sciences. 2020;38(20):2314–20. doi: 10.1080/02640414.2020.1782008 PubMed DOI

Bruijn SM, van Dieën JH, Meijer OG, Beek PJ. Is slow walking more stable? Journal of biomechanics. 2009;42(10):1506–12. doi: 10.1016/j.jbiomech.2009.03.047 PubMed DOI

Rosenstein MT, Collins JJ, De Luca CJ. A practical method for calculating largest Lyapunov exponents from small data sets. Physica D: Nonlinear Phenomena. 1993;65(1–2):117–34.

Shiavi R, Frigo C, Pedotti A. Electromyographic signals during gait: criteria for envelope filtering and number of strides. Medical and Biological Engineering and Computing. 1998;36(2):171–8. doi: 10.1007/BF02510739 PubMed DOI

Fraser A. Using mutual information to estimate metric entropy. Dimensions and entropies in chaotic systems: Springer; 1986. p. 82–91.

Dingwell JB, Cusumano JP. Nonlinear time series analysis of normal and pathological human walking. Chaos: An Interdisciplinary Journal of Nonlinear Science. 2000;10(4):848–63. doi: 10.1063/1.1324008 PubMed DOI

Kennel MB, Brown R, Abarbanel HD. Determining embedding dimension for phase-space reconstruction using a geometrical construction. Physical review A. 1992;45(6):3403. doi: 10.1103/physreva.45.3403 PubMed DOI

Takens F. Detecting strange attractors in turbulence. Dynamical systems and turbulence, Warwick 1980: Springer; 1981. p. 366–81.

Rosengren KS, Deconinck FJ, DiBerardino LA III, Polk JD, Spencer-Smith J, De Clercq D, et al.. Differences in gait complexity and variability between children with and without developmental coordination disorder. Gait & posture. 2009;29(2):225–9. doi: 10.1016/j.gaitpost.2008.08.005 PubMed DOI

Latash ML, Scholz JP, Schöner G. Motor control strategies revealed in the structure of motor variability. Exercise and sport sciences reviews. 2002;30(1):26–31. doi: 10.1097/00003677-200201000-00006 PubMed DOI

Brennan AC, Breloff SP. The effect of various cell phone related activities on gait kineamtics Journal of Musculoskeletal Research. 2019;22(03n04):1950011. PubMed PMC

Punt M, Bruijn SM, Wittink H, Van Dieën JH. Effect of arm swing strategy on local dynamic stability of human gait. Gait & posture. 2015;41(2):504–9. doi: 10.1016/j.gaitpost.2014.12.002 PubMed DOI

Graci V, Elliott DB, Buckley JG. Utility of peripheral visual cues in planning and controlling adaptive gait. Optometry and Vision Science. 2010;87(1):21–7. doi: 10.1097/OPX.0b013e3181c1d547 PubMed DOI