Evidence map›Paper›PMID 41948594›Full record

ArticleFrontiers in medicine2026

Effects of frailty and walking speed on gait variability in older adults.

Wenping Zhang, Jiqin Tang, Wenjing Zhang, Wenfei Yu, Yang Hu, Wei Wang, Liduan Wang

Abstract read
In one paragraph

Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Wenping ZhangSchool of Rehabilitation Medicine, Shandong Second Medical University, Weifang, China.
Jiqin TangSchool of Rehabilitation Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China.
Wenjing ZhangDepartment of Neurology, Yiyuan County Traditional Chinese Medicine Hospital, Zibo, China.
Wenfei YuSchool of Rehabilitation Medicine, Shandong Second Medical University, Weifang, China.
Yang HuSchool of Rehabilitation Medicine, Shandong Second Medical University, Weifang, China.
Wei WangSchool of Basic Medical Sciences, Shandong Second Medical University, Weifang, China.
Liduan WangSchool of Rehabilitation Medicine, Shandong Second Medical University, Weifang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Gait variability is crucial for predicting frailty. This study aims to explore the effects of frailty and speed on endpoint variability and coordination variability (CV) during walking. Methods: Forty-seven adults (≥60 years; 18 males, 29 females) participated in this study. Gait kinematics were captured using Xsens MVN inertial sensors at three speeds (preferred, fast, and slow). Endpoint variability was evaluated using standard deviations (SD) of support times (total, single, and double). The coordination of the lower limb during braking phase and propulsive phase was quantified by continuous relative phase (CRP) analysis for interlimb (hip-hip, knee-knee, ankle-ankle) and intralimb (hip-knee, knee-ankle), and then CV was assessed through SD of interlimb CRP and intralimb CRP. Effect sizes were calculated using partial eta squared (η Results: The results revealed an interaction between frailty and speed on total support time variability ( Conclusion: Frail elders exhibited greater endpoint variability but smaller CV, especially interlimb CV. During preferred speed walking, frail and pre-frail elders may demonstrate more flexible distal joint coordination, while rigid distal joint coordination during braking phase may increase instability risks during fast walking. This study used a cross-sectional design with a limited sample; future longitudinal studies are needed for verification, and more gait parameters and population differences should be explored.

Indexed as

continuous relative phasecoordination variabilityendpoint variabilityfrailtyinterlimbintralimb

Identifiers

PMID41948594
PMCPMC13050829

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.