Evidence map›Paper›PMID 36429447›Full record

ArticleInternational journal of environmental research and public health2022

Validity of the Baiobit Inertial Measurements Unit for the Assessment of Vertical Double- and Single-Leg Countermovement Jumps in Athletes.

Federica Camuncoli, Luca Barni, Sebastiano Nutarelli, Jacopo Emanuele Rocchi, Matteo Barcillesi, Irene Di Dio, Andrea Sambruni, Manuela Galli

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

12 citing papers in PubMed, 15 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

8 authors at 5 institutions in 4 countries.

Federica CamuncoliDepartment of Electronics Information Technology and Bioengineering, Politecnico di Milano, 20133 Milan, Italy.ORCID 0000-0002-6629-4852
Luca BarniDepartment of Physiotherapy, Faculty of Health Sciences, University of Malaga, 29071 Malaga, Spain.ORCID 0000-0001-8800-3481
Sebastiano NutarelliService of Orthopaedics and Traumatology, Department of Surgery, (Ente Ospedaliero Cantonale) EOC, 6900 Lugano, Switzerland.ORCID 0000-0003-1824-0849
Jacopo Emanuele RocchiDepartment of Movement, Human and Health Sciences, University of Rome Foro Italico, 00135 Rome, Italy.
Matteo BarcillesiDepartment of Electronics Information Technology and Bioengineering, Politecnico di Milano, 20133 Milan, Italy.ORCID 0000-0002-5431-799X
Irene Di DioDepartment of Electronics Information Technology and Bioengineering, Politecnico di Milano, 20133 Milan, Italy.
Andrea SambruniDepartment of Medicine, Surgery and Neuroscience, Università degli Studi di Siena, 53100 Siena, Italy.
Manuela GalliDepartment of Electronics Information Technology and Bioengineering, Politecnico di Milano, 20133 Milan, Italy.ORCID 0000-0003-2772-4837
Politecnico di Milano · ITForo Italico University of Rome · ITUniversidad de Málaga · ESUniversity College Dublin · IEUniversity of Siena · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Jump tests are simple, quick to execute, and considered the most reliable tool to measure lower extremities power and explosiveness in athletes. Wearable inertial sensors allow the assessment of jumping performance on any surface. The validity of inertial sensors measurements is a pivotal prerequisite to reliably implement their utilization in the clinical practice. Twenty-seven athletes (20 M/7 F, age: 27 ± 7 years old) performed five double-leg countermovement jumps (CMJs) and three single-leg CMJs per side with their hands on their hips. Jump height was measured/computed simultaneously with the optoelectronic system, force platforms, and the Baiobit inertial sensor system. The athletes completed the international physical activity questionnaire (IPAQ). When comparing the methods (Baiobit vs. force platforms), a non-statistically significant bias of 1.8 cm was found for two-leg CMJs and -0.6 cm for single-leg CMJs. The intraclass correlation coefficients (ICCs) was "excellent" for double-leg CMJs (ICC = 0.92, 95% CI = 0.89-0.94) and "good" for single-leg CMJs (ICC = 0.89, 95% CI = 0.85-0.91). When comparing the methods (Baiobit vs. force platforms + optoelectronic system), a non-statistically significant bias of -0.9 cm was found for two-leg CMJs and -1.2 cm for single-leg CMJs. The intraclass correlation coefficient (ICC) was "good" for both double-leg CMJs (ICC = 0.80, 95% CI = 0.73-0.85) and for single-leg CMJs (ICC = 0.86, 95% CI = 0.80-0.89). Baiobit tends to overestimate double- and single-leg CMJ height measurements; however, it can be recommended in the world of rehabilitation and sport analysis.

Indexed as

AthletesLegAdultHumansYoung AdultBaiobitBland–Altmancountermovement jumpinertial sensorssingle-leg jumpvertical jump

Identifiers

PMID36429447
PMCPMC9690780
OpenAlexW4308866580

What OpenQuestion holds

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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.