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The effect of mobile phone task and age on gait: A systematic review and meta-analysis

Objective: Mobile phone usage while performing postural-locomotor tasks is everyday activity across persons of all ages in various environmental contexts and health conditions. However, it is also an important factor contributing to accidents. To lower the risk of pedestrian accidents, this meta-ana...

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Autores principales: Zhang, Xinxin, Li, Qiang, Gao, Pincao, Zhu, Jialin, Tuo, Haowen, Lin, Qihan, Jing, Feiyue, Liu, Weiguo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10110872/
https://www.ncbi.nlm.nih.gov/pubmed/37082239
http://dx.doi.org/10.3389/fphys.2023.1163655
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author Zhang, Xinxin
Li, Qiang
Gao, Pincao
Zhu, Jialin
Tuo, Haowen
Lin, Qihan
Jing, Feiyue
Liu, Weiguo
author_facet Zhang, Xinxin
Li, Qiang
Gao, Pincao
Zhu, Jialin
Tuo, Haowen
Lin, Qihan
Jing, Feiyue
Liu, Weiguo
author_sort Zhang, Xinxin
collection PubMed
description Objective: Mobile phone usage while performing postural-locomotor tasks is everyday activity across persons of all ages in various environmental contexts and health conditions. However, it is also an important factor contributing to accidents. To lower the risk of pedestrian accidents, this meta-analysis aimed to examine how mobile phones affect pedestrian gait and identify how mobile phone tasks and participant age affect gait differently. Methods: Electronic database searches were performed in The Cochrane Library, PubMed, and Medline. Two examiners evaluated the eligibility and quality of included studies using the Downs and Black checklist. The mean differences (MD) or standardized mean differences (SMD) were calculated for each outcome. Subgroup analyses were used to compare the differential effects of mobile phone task and participant age on gait. Results: Among 22 eligible studies, 592 participants in 10 countries were analyzed in this meta-analysis. The overall meta-analysis showed that using a mobile phone significantly decreased pedestrian gait velocity (SMD = −1.45; 95% CI: −1.66 to −1.24; p < 0.00001; I(2) = 66%), step length (SMD = −1.01; 95% CI: −1.43 to −0.59; p < 0.00001; I(2) = 82%), and stride length (SMD = −0.9; 95% CI: −1.19 to −0.60; p < 0.00001; I(2) = 79%), significantly increased pedestrian step time (SMD = 0.77; 95% CI: 0.45 to 1.08; p < 0.00001; I(2) = 78%), stride time (SMD = 0.87; 95% CI: 0.69 to 1.06; p < 0.00001; I(2) = 24%), step width (SMD = 0.79; 95% CI: 0.34 to 1.24; p = 0.0006. I(2) = 75%), double support time (SMD = 1.09; 95% CI: 0.86 to 1.31; p < 0.00001; I(2) = 42%), and double support (%gait cycle, %GC) (MD = 2.32; 95% CI: 1.75 to 2.88; p < 0.00001; I(2) = 26%). Conclusion: In summary, the effects of mobile phone tasks and participant age on gait were inconsistent. Our study found that resource-intensive tasks (texting and reading) significantly reduced gait velocity, and step time; however, small resource-intensive tasks (calling, talking, and dialing) did not affect these outcomes. In contrast to young adults, step length and step time were not affected by mobile phone use in older adults. Tips: Pedestrians should consider using a mobile phone in their daily lives according to the application scenarios (walking environment, the complexity of mobile phone tasks, pedestrians’ task processing abilities, etc.) as appropriate to avoid dangerous accidents. Systematic Review Registration: identifier CRD42022358963.
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spelling pubmed-101108722023-04-19 The effect of mobile phone task and age on gait: A systematic review and meta-analysis Zhang, Xinxin Li, Qiang Gao, Pincao Zhu, Jialin Tuo, Haowen Lin, Qihan Jing, Feiyue Liu, Weiguo Front Physiol Physiology Objective: Mobile phone usage while performing postural-locomotor tasks is everyday activity across persons of all ages in various environmental contexts and health conditions. However, it is also an important factor contributing to accidents. To lower the risk of pedestrian accidents, this meta-analysis aimed to examine how mobile phones affect pedestrian gait and identify how mobile phone tasks and participant age affect gait differently. Methods: Electronic database searches were performed in The Cochrane Library, PubMed, and Medline. Two examiners evaluated the eligibility and quality of included studies using the Downs and Black checklist. The mean differences (MD) or standardized mean differences (SMD) were calculated for each outcome. Subgroup analyses were used to compare the differential effects of mobile phone task and participant age on gait. Results: Among 22 eligible studies, 592 participants in 10 countries were analyzed in this meta-analysis. The overall meta-analysis showed that using a mobile phone significantly decreased pedestrian gait velocity (SMD = −1.45; 95% CI: −1.66 to −1.24; p < 0.00001; I(2) = 66%), step length (SMD = −1.01; 95% CI: −1.43 to −0.59; p < 0.00001; I(2) = 82%), and stride length (SMD = −0.9; 95% CI: −1.19 to −0.60; p < 0.00001; I(2) = 79%), significantly increased pedestrian step time (SMD = 0.77; 95% CI: 0.45 to 1.08; p < 0.00001; I(2) = 78%), stride time (SMD = 0.87; 95% CI: 0.69 to 1.06; p < 0.00001; I(2) = 24%), step width (SMD = 0.79; 95% CI: 0.34 to 1.24; p = 0.0006. I(2) = 75%), double support time (SMD = 1.09; 95% CI: 0.86 to 1.31; p < 0.00001; I(2) = 42%), and double support (%gait cycle, %GC) (MD = 2.32; 95% CI: 1.75 to 2.88; p < 0.00001; I(2) = 26%). Conclusion: In summary, the effects of mobile phone tasks and participant age on gait were inconsistent. Our study found that resource-intensive tasks (texting and reading) significantly reduced gait velocity, and step time; however, small resource-intensive tasks (calling, talking, and dialing) did not affect these outcomes. In contrast to young adults, step length and step time were not affected by mobile phone use in older adults. Tips: Pedestrians should consider using a mobile phone in their daily lives according to the application scenarios (walking environment, the complexity of mobile phone tasks, pedestrians’ task processing abilities, etc.) as appropriate to avoid dangerous accidents. Systematic Review Registration: identifier CRD42022358963. Frontiers Media S.A. 2023-04-04 /pmc/articles/PMC10110872/ /pubmed/37082239 http://dx.doi.org/10.3389/fphys.2023.1163655 Text en Copyright © 2023 Zhang, Li, Gao, Zhu, Tuo, Lin, Jing and Liu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Physiology
Zhang, Xinxin
Li, Qiang
Gao, Pincao
Zhu, Jialin
Tuo, Haowen
Lin, Qihan
Jing, Feiyue
Liu, Weiguo
The effect of mobile phone task and age on gait: A systematic review and meta-analysis
title The effect of mobile phone task and age on gait: A systematic review and meta-analysis
title_full The effect of mobile phone task and age on gait: A systematic review and meta-analysis
title_fullStr The effect of mobile phone task and age on gait: A systematic review and meta-analysis
title_full_unstemmed The effect of mobile phone task and age on gait: A systematic review and meta-analysis
title_short The effect of mobile phone task and age on gait: A systematic review and meta-analysis
title_sort effect of mobile phone task and age on gait: a systematic review and meta-analysis
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10110872/
https://www.ncbi.nlm.nih.gov/pubmed/37082239
http://dx.doi.org/10.3389/fphys.2023.1163655
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