Evidence map›Paper›PMID 33803927›Full record

ArticleSensors (Basel, Switzerland)2021

An Experimental Study on the Validity and Reliability of a Smartphone Application to Acquire Temporal Variables during the Single Sit-to-Stand Test with Older Adults.

Diogo Luís Marques, Henrique Pereira Neiva, Ivan Miguel Pires, Eftim Zdravevski, Martin Mihajlov, Nuno M Garcia, Juan Diego Ruiz-Cárdenas, Daniel Almeida Marinho, Mário Cardoso Marques

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 15% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
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  11. Mobile Technology for Falls Prevention in Older Adults.The journals of gerontology. Series A, Biological sciences and medical sciences · 2023
    Review
  12. Article
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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

9 authors at 4 institutions in 4 countries.

Diogo Luís MarquesDepartment of Sport Sciences, University of Beira Interior, 6201-001 Covilhã, Portugal.ORCID 0000-0002-6653-0616
Henrique Pereira NeivaDepartment of Sport Sciences, University of Beira Interior, 6201-001 Covilhã, Portugal.ORCID 0000-0001-9283-312X
Ivan Miguel PiresInstituto de Telecomunicações, Universidade da Beira Interior, 6200-001 Covilhã, Portugal.ORCID 0000-0002-3394-6762
Eftim ZdravevskiFaculty of Computer Science and Engineering, University Ss Cyril and Methodius, 1000 Skopje, North Macedonia.ORCID 0000-0001-7664-0168
Martin MihajlovLaboratory for Open Systems and Networks, Jozef Stefan Institute, 1000 Ljubljana, Slovenia.
Nuno M GarciaInstituto de Telecomunicações, Universidade da Beira Interior, 6200-001 Covilhã, Portugal.ORCID 0000-0002-3195-3168
Juan Diego Ruiz-CárdenasPhysiotherapy Department, Faculty of Health Sciences, Catholic University of Murcia, 30107 Murcia, Spain.ORCID 0000-0002-8882-4965
Daniel Almeida MarinhoDepartment of Sport Sciences, University of Beira Interior, 6201-001 Covilhã, Portugal.ORCID 0000-0003-2351-3047
Mário Cardoso MarquesDepartment of Sport Sciences, University of Beira Interior, 6201-001 Covilhã, Portugal.
University of Beira Interior · PTJožef Stefan Institute · SISs. Cyril and Methodius University in Skopje · MKUniversidad Católica de Murcia · ES

Funding

Fundação para a Ciência e a Tecnologia SFRH/BD/147608/2019Fundação para a Ciência e a Tecnologia UIDB/00742/2020Fundação para a Ciência e a Tecnologia UIDB/04045/2020Fundação para a Ciência e a Tecnologia UIDB/50008/2020
6 · The paper itself

Abstract

Smartphone sensors have often been proposed as pervasive measurement systems to assess mobility in older adults due to their ease of use and low-cost. This study analyzes a smartphone-based application's validity and reliability to quantify temporal variables during the single sit-to-stand test with institutionalized older adults. Forty older adults (20 women and 20 men; 78.9 ± 8.6 years) volunteered to participate in this study. All participants performed the single sit-to-stand test. Each sit-to-stand repetition was performed after an acoustic signal was emitted by the smartphone app. All data were acquired simultaneously with a smartphone and a digital video camera. The measured temporal variables were stand-up time and total time. The relative reliability and systematic bias inter-device were assessed using the intraclass correlation coefficient (ICC) and Bland-Altman plots. In contrast, absolute reliability was assessed using the standard error of measurement and coefficient of variation (CV). Inter-device concurrent validity was assessed through correlation analysis. The absolute percent error (APE) and the accuracy were also calculated. The results showed excellent reliability (ICC = 0.92-0.97; CV = 1.85-3.03) and very strong relationships inter-devices for the stand-up time (

Indexed as

Mobile ApplicationsSmartphoneAgedFemaleHumansMaleReproducibility of Resultsaccelerometer sensoragingmobile applicationstand-up timetotal time

Identifiers

PMID33803927
PMCPMC8000467
OpenAlexW3137667545

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.