Evidence map›Paper›PMID 39013927›Full record

ArticleScientific reports2024

Smartphone usage during walking decreases the positive persistency in gait cycle variability.

Shunpei Yano, Akihiro Nakamura, Yasuyuki Suzuki, Charles E Smith, Taishin Nomura

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Shunpei YanoDepartment of Mechanical Science and Bioengineering, Osaka University, Osaka, 5608531, Japan.
Akihiro NakamuraDepartment of Mechanical Science and Bioengineering, Osaka University, Osaka, 5608531, Japan.
Yasuyuki SuzukiDepartment of Mechanical Science and Bioengineering, Osaka University, Osaka, 5608531, Japan.
Charles E SmithDepartment of Statistics, North Carolina State University, Raleigh, NC, 27695-8203, USA.
Taishin NomuraDepartment of Mechanical Science and Bioengineering, Osaka University, Osaka, 5608531, Japan. taishin@i.kyoto-u.ac.jp.

Funding

MEXT | Japan Society for the Promotion of Science (JSPS) 19H04181MEXT | Japan Society for the Promotion of Science (JSPS) 22H03662MEXT | Japan Society for the Promotion of Science (JSPS) 22H04775
6 · The paper itself

Abstract

Gait cycle variability during steady walking, described by the stride interval time series, has been used as a gait-stability-related measure. In particular, the positive persistency in the stride intervals with 1/f-like fluctuation and reduction of the persistency are the well-documented metrics that can characterize gait patterns of healthy young adults and elderly including patients with neurological diseases, respectively. Here, we examined effects of a dual task on gait cycle variability in healthy young adults, based on the mean and standard deviation statistics as well as the positive persistency of the stride intervals during steady walking on a treadmill. Specifically, three gait conditions were examined: control condition, non-cognitive task with holding a smartphone in front of the chest using their dominant hand and looking fixedly at a blank screen of the smartphone, and cognitive motor task with holding a smartphone as in the non-cognitive task and playing a puzzle game displayed on the smartphone by one-thumb operation. We showed that only the positive persistency, not the mean and standard deviation statistics, was affected by the cognitive and motor load of smartphone usage in the cognitive condition. More specifically, the positive persistency exhibited in the control and the non-cognitive conditions was significantly reduced in the cognitive condition. Our results suggest that the decrease in the positive persistency during the cognitive task, which might represent the deterioration of healthy gait pattern, is caused endogenously by the cognitive and motor load, not necessarily by the reduction of visual field as often hypothesized.

Indexed as

GaitSmartphoneWalkingAdultCognitionFemaleHumansMaleYoung Adult

Identifiers

PMID39013927
PMCPMC11252135

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