Evidence map›Paper›PMID 41844676›Full record

ArticleScientific data2026

100 Normative Gait Profiles with 5-year fall tracking: Benchmark Dataset for Southeast Asian Movement Science.

Oliver Roberts, Pablo Cruz Gonzalez, Arun-Kumar Kaliya-Perumal, Tsung-Lin Wu, Lek Syn Lim, Xun Li, Isaac Okumura Tan, Ananda Sidarta, Patrick Wai Hang Kwong, Karen Sui Geok Chua and 2 more

Abstract readDataset
In one paragraph

Article in Scientific data, 2026. 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
–field-weighted citation impact
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. 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

12 authors.

Oliver Roberts *Rehabilitation Research Institute of Singapore, Nanyang Technological University, Singapore, Singapore.
Pablo Cruz Gonzalez *Rehabilitation Research Institute of Singapore, Nanyang Technological University, Singapore, Singapore.ORCID http://orcid.org/0000-0001-9073-3061
Arun-Kumar Kaliya-PerumalRehabilitation Research Institute of Singapore, Nanyang Technological University, Singapore, Singapore.
Tsung-Lin WuRehabilitation Research Institute of Singapore, Nanyang Technological University, Singapore, Singapore.
Lek Syn LimRehabilitation Research Institute of Singapore, Nanyang Technological University, Singapore, Singapore.
Xun LiRehabilitation Research Institute of Singapore, Nanyang Technological University, Singapore, Singapore.
Isaac Okumura TanRehabilitation Research Institute of Singapore, Nanyang Technological University, Singapore, Singapore.
Ananda SidartaRehabilitation Research Institute of Singapore, Nanyang Technological University, Singapore, Singapore. ananda.sidarta@ntu.edu.sg.ORCID http://orcid.org/0000-0002-2325-3137
Patrick Wai Hang KwongDepartment of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong, Hong Kong.
Karen Sui Geok ChuaRehabilitation Research Institute of Singapore, Nanyang Technological University, Singapore, Singapore.
Wei Tech AngSchool of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, Singapore.ORCID http://orcid.org/0000-0002-5778-7719
Bryan Yijia TanRehabilitation Research Institute of Singapore, Nanyang Technological University, Singapore, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gait assessment is fundamental for the evaluation of mobility. The 10-meter walk test is an established measure of gait speed, yet its simplicity in administration contrasts with the substantial wealth of biomechanical information that is unreported when it is conducted in a conventional manner. Integrating motion capture technology into the 10-meter walk test elevates gait assessment into a high-definition, granular analysis. This Data Descriptor presents the only large-scale, fast-gait 10-meter walk test dataset from Southeast Asia, comprising 100 healthy older adults (43 males and 57 females, aged 50-80 years). In addition, a five-year follow-up model of fall risk in these participants is reported. The dataset is deposited in DR-NTU (Nanyang Technological University Research Data Repository, powered by Dataverse) ( https://doi.org/10.21979/N9/3Z2N2Z ) and represents a unique normative resource with high potential for reuse in both clinical and research contexts.

Indexed as

Accidental FallsGaitGait AnalysisAgedAged, 80 and overAsia, SoutheasternBiomechanical PhenomenaFemaleHumansMaleMiddle AgedMotion CaptureWalking

Identifiers

PMID41844676
PMCPMC13139479

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.