Impact of mobile phone use on accidental falls risk in young adult pedestrians.

Accident Balance Dual-task Fall Gait Pedestrian Phone Road safety Texting Walking Wearable

Journal

Heliyon
ISSN: 2405-8440
Titre abrégé: Heliyon
Pays: England
ID NLM: 101672560

Informations de publication

Date de publication:
Aug 2023
Historique:
received: 16 02 2023
revised: 14 07 2023
accepted: 14 07 2023
medline: 13 9 2023
pubmed: 13 9 2023
entrez: 13 9 2023
Statut: epublish

Résumé

Mobile phone use is known to be a distraction to pedestrians, increasing their likelihood of crossing into oncoming traffic or colliding with other people. However, the effect of using a mobile phone to text while walking on gait stability and accidental falls in young adults remains inconclusive. This study uses a 70 cm low friction slip hazard and the threat of hazard to investigate the effects of texting while walking on gait stability, the ability to recover balance after a slip hazard and accidental falls. Fifty healthy young adults performed six walking tasks, and one seated texting task in random order. The walks were conducted over a 10-m walkway. Four progressive hazard levels were used: 1) Seated; 2) Normal Walk (walking across the walkway with no threat of a slip); 3) Threat (walking with the threat of a slip); and 4) Slip (walking with an actual 70 cm slip hazard). The three walking conditions were repeated twice with and without the mobile phone texting dual-task. Gait kinematics and trunk posture were recorded using wearable sensors attached to the head, trunk, pelvis and feet. Study outcomes were analyzed using repeated measures analysis of variance with significance set to Mobile phone use significantly impaired postural balance recovery when slipping, as demonstrated by increased trunk sway. Mobile phone use negatively impacted gait stability as demonstrated by increased step time variability and decreased harmonic ratios. Increased hazard levels also led to reduced texting accuracy. Using a mobile phone to text while walking may compete with locomotor tasks, threat assessment and postural balance control mechanisms, which leads to an increased risk of accidental falls in young adults. Pedestrians should therefore be discouraged through new educational and technology-based initiatives (for example a "texting lock" on detection of walking) from texting while walking on roadside footpaths and other environments where substantial hazards to safety exist.

Sections du résumé

Background UNASSIGNED
Mobile phone use is known to be a distraction to pedestrians, increasing their likelihood of crossing into oncoming traffic or colliding with other people. However, the effect of using a mobile phone to text while walking on gait stability and accidental falls in young adults remains inconclusive. This study uses a 70 cm low friction slip hazard and the threat of hazard to investigate the effects of texting while walking on gait stability, the ability to recover balance after a slip hazard and accidental falls.
Methods UNASSIGNED
Fifty healthy young adults performed six walking tasks, and one seated texting task in random order. The walks were conducted over a 10-m walkway. Four progressive hazard levels were used: 1) Seated; 2) Normal Walk (walking across the walkway with no threat of a slip); 3) Threat (walking with the threat of a slip); and 4) Slip (walking with an actual 70 cm slip hazard). The three walking conditions were repeated twice with and without the mobile phone texting dual-task. Gait kinematics and trunk posture were recorded using wearable sensors attached to the head, trunk, pelvis and feet. Study outcomes were analyzed using repeated measures analysis of variance with significance set to
Results UNASSIGNED
Mobile phone use significantly impaired postural balance recovery when slipping, as demonstrated by increased trunk sway. Mobile phone use negatively impacted gait stability as demonstrated by increased step time variability and decreased harmonic ratios. Increased hazard levels also led to reduced texting accuracy.
Conclusions UNASSIGNED
Using a mobile phone to text while walking may compete with locomotor tasks, threat assessment and postural balance control mechanisms, which leads to an increased risk of accidental falls in young adults. Pedestrians should therefore be discouraged through new educational and technology-based initiatives (for example a "texting lock" on detection of walking) from texting while walking on roadside footpaths and other environments where substantial hazards to safety exist.

Identifiants

pubmed: 37701410
doi: 10.1016/j.heliyon.2023.e18366
pii: S2405-8440(23)05574-3
pmc: PMC10493431
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e18366

Informations de copyright

© 2023 The Authors. Published by Elsevier Ltd.

Déclaration de conflit d'intérêts

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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Auteurs

Paulo H S Pelicioni (PHS)

School of Health Sciences, University of New South Wales, Kensington Campus, NSW 2052, Australia.
Neuroscience Research Australia, 139 Barker Street Randwick, NSW 2031, Australia.

Lloyd L Y Chan (LLY)

Neuroscience Research Australia, 139 Barker Street Randwick, NSW 2031, Australia.
School of Population Health, University of New South Wales, Sydney 2052, NSW, Australia.

Shuotong Shi (S)

Graduate School of Biomedical Engineering, University of New South Wales, Kensington Campus, NSW 2052, Australia.

Kenny Wong (K)

Graduate School of Biomedical Engineering, University of New South Wales, Kensington Campus, NSW 2052, Australia.

Lauren Kark (L)

Graduate School of Biomedical Engineering, University of New South Wales, Kensington Campus, NSW 2052, Australia.

Yoshiro Okubo (Y)

Neuroscience Research Australia, 139 Barker Street Randwick, NSW 2031, Australia.
School of Population Health, University of New South Wales, Sydney 2052, NSW, Australia.

Matthew A Brodie (MA)

Graduate School of Biomedical Engineering, University of New South Wales, Kensington Campus, NSW 2052, Australia.

Classifications MeSH