Evidence map›Paper›PMID 32978750›Full record

ArticleAging clinical and experimental research2021

Clinical assessment of gait and functional mobility in Italian healthy and cognitively impaired older persons using wearable inertial sensors.

Ilaria Mulas, Valeria Putzu, Gesuina Asoni, Daniela Viale, Irene Mameli, Massimiliano Pau

Open access · hybridAbstract read
In one paragraph

Article in Aging clinical and experimental research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
9.8field-weighted citation impact, top 2% 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

26 citing papers in PubMed, 39 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Ilaria MulasDepartment of Mechanical, Chemical and Materials Engineering, University of Cagliari, Piazza d'Armi, 09123, Cagliari, Italy.
Valeria PutzuCenter for Cognitive Disorders and Dementia, Geriatric Unit SS. Trinità Hospital, Via Romagna 16, 09127, Cagliari, Italy.
Gesuina AsoniCenter for Cognitive Disorders and Dementia, Geriatric Unit SS. Trinità Hospital, Via Romagna 16, 09127, Cagliari, Italy.
Daniela VialeCenter for Cognitive Disorders and Dementia, Geriatric Unit SS. Trinità Hospital, Via Romagna 16, 09127, Cagliari, Italy.
Irene MameliCenter for Cognitive Disorders and Dementia, Geriatric Unit SS. Trinità Hospital, Via Romagna 16, 09127, Cagliari, Italy.
Massimiliano PauDepartment of Mechanical, Chemical and Materials Engineering, University of Cagliari, Piazza d'Armi, 09123, Cagliari, Italy. massimiliano.pau@dimcm.unica.it.ORCID http://orcid.org/0000-0001-9835-3629
Santissima Trinità · ITUniversity of Cagliari · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThe main purpose of the present study was to verify the feasibility of wearable inertial sensors (IMUs) in a clinical setting to screen gait and functional mobility in Italian older persons. In particular, we intended to verify the capability of IMUs to discriminate individuals with and without cognitive impairments and assess the existence of significant correlations between mobility parameters extracted by processing trunk accelerations and cognitive status.

methodsThis is a cross-sectional study performed on 213 adults aged over 65 years (mean age 77.0 ± 5.4; 62% female) who underwent cognitive assessment (through Addenbrooke's Cognitive Examination Revised, ACE-R) instrumental gait analysis and the Timed Up and Go (TUG) test carried out using a wearable IMU located in the lower back.

resultsIndividuals with cognitive impairments exhibit a peculiar gait pattern, characterized by significant reduction of speed (- 34% vs. healthy individuals), stride length (- 28%), cadence (- 9%), and increase in double support duration (+ 11%). Slight, but significant changes in stance and swing phase duration were also detected. Poorer performances in presence of cognitive impairment were observed in terms of functional mobility as overall and sub-phase TUG times resulted significantly higher with respect to healthy individuals (overall time, + 38%, sub-phases times ranging from + 22 to + 34%), although with some difference associated with age. The severity of mobility alterations was found moderately to strongly correlated with the ACE-R score (Spearman's rho = 0.58 vs. gait speed, 0.54 vs. stride length, 0.66 vs. overall TUG time).

conclusionThe findings obtained in the present study suggest that wearable IMUs appear to be an effective solution for the clinical assessment of mobility parameters of older persons screened for cognitive impairments within a clinical setting. They may represent a useful tool for the clinician in verifying the effectiveness of interventions to alleviate the impact of mobility limitations on daily life in cognitively impaired individuals.

Indexed as

GaitWearable Electronic DevicesAgedAged, 80 and overCross-Sectional StudiesFemaleGait AnalysisHumansItalyMaleAccelerometerFunctional mobilityGaitInertial measurement unit (IMU)Older adultsTimed-up-and-go (TUG)

Identifiers

PMID32978750
PMCPMC7518096
OpenAlexW3088794962

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.