Evidence map›Paper›PMID 34948894›Full record

ArticleInternational journal of environmental research and public health2021

Ecological and Construct Validity of a New Technical Level Cuban Dance Field Test.

Johnny Padulo, Alin Larion, Olfa Turki, Ionel Melenco, Cristian Popa, Stefano Palermi, Gian Mario Migliaccio, Stefania Mannarini, Alessandro Alberto Rossi

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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.

Johnny PaduloDepartment of Biomedical Sciences for Health, Università degli Studi di Milano, 20133 Milan, Italy.ORCID 0000-0002-4254-3105
Alin LarionFaculty of Physical Education and Sport, Ovidius University of Constanta, 900470 Constanta, Romania.ORCID 0000-0001-6419-5095
Olfa TurkiHigher Institute of Sport and Physical Education of Ksar Said, Tunis 2010, Tunisia.
Ionel MelencoFaculty of Physical Education and Sport, Ovidius University of Constanta, 900470 Constanta, Romania.
Cristian PopaFaculty of Physical Education and Sport, Ovidius University of Constanta, 900470 Constanta, Romania.
Stefano PalermiHuman Anatomy and Sport Medicine Division, Department of Public Health, University of Naples Federico II, 80131 Naples, Italy.ORCID 0000-0003-1558-4857
Gian Mario MigliaccioSport Science Lab, 09131 Cagliari, Italy.
Stefania MannariniDepartment of Philosophy, Sociology, Education, and Applied Psychology, Section of Applied Psychology, University of Padova, 35131 Padova, Italy.ORCID 0000-0002-8446-785X
Alessandro Alberto RossiDepartment of Philosophy, Sociology, Education, and Applied Psychology, Section of Applied Psychology, University of Padova, 35131 Padova, Italy.ORCID 0000-0001-7000-5999

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study aimed to explore the sensitivity and specificity of a new methodological approach related to the musical rhythm for discriminating a competitive Cuban dancer's (CDCs) level. Thirty CDCs (Age 23.87 ± 1.76 years, body mass 60.33 ± 9.45 kg, stature 1.68 ± 0.07 m) were divided into three groups: beginner (BEG,

Indexed as

DancingMusicAptitudeSensitivity and Specificityfield dance testmotor learningphysiological effortsensitivitytraining experience

Identifiers

PMID34948894
PMCPMC8701756

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.