Evidence map›Paper›PMID 42122621›Full record

ArticleSensors (Basel, Switzerland)2026

An Exploratory Analysis of Postural Control in People with Type 2 Diabetes Mellitus Using a Smartphone IMU Sensor.

Trine Rolighed Thomsen, Sophia Pölhöšová, Asger Ahlmann Bech, Aksayan Arunanthy Mahalingasivam, Nicklas Højgaard-Hessellund Rasmussen, Anderson Souza Oliveira

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

6 authors.

Trine Rolighed ThomsenDepartment of Chemistry and Bioscience, Aalborg University, DK-9220 Aalborg, Denmark.ORCID 0000-0002-7393-9372
Sophia PölhöšováDepartment of Chemistry and Bioscience, Aalborg University, DK-9220 Aalborg, Denmark.
Asger Ahlmann BechSteno Diabetes Center North, DK-9220 Aalborg, Denmark.
Aksayan Arunanthy MahalingasivamSteno Diabetes Center North, DK-9220 Aalborg, Denmark.ORCID 0000-0003-0406-9702
Nicklas Højgaard-Hessellund RasmussenSteno Diabetes Center North, DK-9220 Aalborg, Denmark.ORCID 0000-0002-3880-3058
Anderson Souza OliveiraDepartment of Materials and Production, Aalborg University, Fibigerstræde 16, DK-9220 Aalborg, Denmark.ORCID 0000-0003-2186-8100

Funding

Institute of Biotechnology and Chemistry at Aalborg University 0001
6 · The paper itself

Abstract

backgroundThere is a growing need for highly accessible and simplified methods to track postural control in adults affected by neurodegenerative diseases. Therefore, the aim of this study was to assess the validity of smartphone-derived postural control analyses compared with traditional center-of-pressure (COP) measures in healthy adults and people with type 2 diabetes mellitus (T2DM).

methodsA total of 36 participants (21 controls, 15 T2DM) completed static postural testing during single- and double-leg stance, also with eyes open and eyes closed. Data from a smartphone attached to the lower back measured trunk acceleration (SP-ACC) concurrently with gold-standard center of pressure (COP). The root mean square (RMS) and movement velocity (MV) were extracted from both trunk acceleration and COP data. The effect of balance condition and groups were statistically evaluated using non-parametric statistical tests.

resultsSP-ACC and COP metrics showed progressive sway increases with task difficulty in both groups (all

conclusionsSmartphone-based IMU assessments showed good agreement with COP analysis and detected condition-specific balance deficits in T2DM. These findings support smartphone-based IMU metrics as a promising tool for accessible and scalable balance screening in diabetes care.

Indexed as

Diabetes Mellitus, Type 2Postural BalanceSmartphoneAdultAgedFemaleHumansMaleMiddle AgedPosturediabetesfall riskIMUpostural controlsmartphonewearables

Identifiers

PMID42122621
PMCPMC13166036

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.