Evidence map›Paper›PMID 41829584›Full record

ArticleSensors (Basel, Switzerland)2026

Depth Sensor-Based Instrumentation of the Fukuda Stepping Test: Reliability and Clinical Associations in Older Adults.

Hasan Tolga Ünal, Mertcan Koçak, Sebahat Yaprak Çetin, Özgün Kaya Kara, Mert Doğan

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Hasan Tolga ÜnalDepartment of Physiotherapy and Rehabilitation, Faculty of Health Sciences, Akdeniz University, Antalya 07070, Türkiye.
Mertcan KoçakDepartment of Mechatronics Engineering, Faculty of Engineering and Architecture, İzmir Kâtip Çelebi University, İzmir 35620, Türkiye.ORCID 0000-0002-3470-989X
Sebahat Yaprak ÇetinDepartment of Physiotherapy and Rehabilitation, Faculty of Health Sciences, Akdeniz University, Antalya 07070, Türkiye.
Özgün Kaya KaraDepartment of Physiotherapy and Rehabilitation, Faculty of Health Sciences, Akdeniz University, Antalya 07070, Türkiye.
Mert DoğanDepartment of Physiotherapy and Rehabilitation, Faculty of Health Sciences, Akdeniz University, Antalya 07070, Türkiye.ORCID 0000-0001-7990-3365

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study evaluated the test-retest reliability of a depth sensor-based Fukuda Stepping Test and examined associations between sensor-derived kinematic parameters and established clinical outcomes in older adults. Eighty-six community-dwelling older adults (mean age 70.3 ± 4.7 years) performed an eyes-closed stepping task monitored by a Microsoft Kinect v2 sensor. Clinical assessments included the Berg Balance Scale, Timed Up and Go test, Five Times Sit-to-Stand, Montreal Cognitive Assessment, International Physical Activity Questionnaire, and WHOQOL-OLD. Test-retest reliability was assessed using intraclass correlation coefficients in a randomly selected subgroup. Reliability estimates varied across parameters, with temporal and displacement-based measures demonstrating more consistent agreement across sessions, whereas selected angular variables showed greater variability. Correlation analyses identified statistically significant associations between trunk kinematic changes and clinical measures, with effect sizes generally ranging from weak to moderate magnitude. Upper trunk rotation was associated with functional mobility measures, while traditional displacement-based metrics demonstrated limited clinical relationships. These findings support the feasibility of markerless depth-sensing technology for objective quantification of movement during the Fukuda Stepping Test and highlight the potential contribution of segmental kinematic parameters to multidimensional functional assessment in older adults.

Indexed as

Biosensing TechniquesPostural BalanceAgedBiomechanical PhenomenaFemaleHumansMaleMotion CaptureMovementReproducibility of Resultsbalance assessmentdepth sensorFukuda stepping testKinect v2kinematic analysismarkerless motion captureolder adultspostural controlreliability

Identifiers

PMID41829584
PMCPMC12986737

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Registered trials

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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.