Evidence map›Paper›PMID 36891225›Full record

ArticleDementia and geriatric cognitive disorders extra

Relationship between Cognitive Decline and Daily Life Gait among Elderly People Living in the Community: A Preliminary Report.

Tetsuya Yamagami, Motoi Yagi, Shigeya Tanaka, Saori Anzai, Takuya Ueda, Yoshitsugu Omori, Chika Tanaka, Yoshitaka Shiba

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Dementia and geriatric cognitive disorders extra. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 32% of its field
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Using Apple Watches to Monitor Health and Behaviors of Individuals With Cognitive Impairment: A Case Series Study.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 6 institutions in 1 country.

Tetsuya YamagamiDepartment of Rehabilitation Sciences, Gunma University Graduate School of Health Sciences, Maebashi, Japan.
Motoi YagiProduct Division, CLIMB Co. LTD., Takasaki, Japan.
Shigeya TanakaDepartment of Physical Therapy, Faculty of Health Care, Takasaki University of Health and Welfare, Takasaki, Japan.
Saori AnzaiDepartment of Physical Therapy, Faculty of Social Work Studies, Josai International University, Togane, Japan.
Takuya UedaTokyo Metropolitan Support Center for Preventive Long-term and Frail Elderly Care, Tokyo Metropolitan Institute of Gerontology, Itabashi, Japan.
Yoshitsugu OmoriDepartment of Rehabilitation, Faculty of Medical Sciences, Shona University of Medical Sciences, Yokohama, Japan.
Chika TanakaNursing Care Insurance Section, Zama City Office, Zama, Japan.
Yoshitaka ShibaDepartment of Physical Therapy, Faculty of Health Sciences, Fukushima Medical University, Fukushima, Japan.
Fukushima Medical University · JPGunma University · JPJosai International University · JPShonan University of Medical Sciences · JPTakasaki University of Health and Welfare · JPTokyo Metropolitan Institute of Gerontology · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Early detection and intervention are important to prevent dementia. Gait parameters have been recognized as a potentially easy screening tool for mild cognitive impairment (MCI); however, differences in gait parameters between cognitive healthy individuals (CHI) and MCI are small. Daily life gait change may be used to detect cognitive decline earlier. In the present study, we aimed to clarify the relationship between cognitive decline and daily life gait. Methods: We performed 5-Cog function tests and daily life and laboratory-based gait assessments on 155 community-dwelling elderly people (75.5 ± 5.4 years old). Daily life gait was measured for 6 days using an iPod-touch with an accelerometer. Laboratory-based 10-m gait (fast pace) was measured using an electronic portable walkway. Results: The subjects consisted of 98 CHI (63.2%) and 57 cognitive decline individuals (CDI; 36.8%). Daily life maximum gait velocity in the CDI group (113.7 [97.0-128.5] cm/s) was significantly slower than that in the CHI group (121.2 [105.8-134.3] cm/s) ( Conclusion: We found an association between cognitive decline and slower daily life gait velocity among community-dwelling elderly people.

Indexed as

Community-dwelling elderly peopleDaily life gait velocityDementiaMild cognitive impairmentPrevention

Identifiers

PMID36891225
PMCPMC9987256
OpenAlexW4322763405

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.