Evidence map›Paper›PMID 35447871›Full record

ArticleSports (Basel, Switzerland)2022

The Cut-Off Value for Classifying Active Italian Children Using the Corresponding National Version of the Physical Activity Questionnaire.

Corrado Lupo, Gennaro Boccia, Alexandru Nicolae Ungureanu, Anna Mulasso, Paolo De Pasquale, Annamaria Mancini, Pasqualina Buono, Alberto Rainoldi, Paolo Riccardo Brustio

Abstract read
In one paragraph

Article in Sports (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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.

Corrado LupoNeuroMuscularFunction, Research Group, School of Exercise & Sport Sciences, University of Turin, 10143 Turin, Italy.ORCID 0000-0003-1546-8573
Gennaro BocciaNeuroMuscularFunction, Research Group, School of Exercise & Sport Sciences, University of Turin, 10143 Turin, Italy.ORCID 0000-0001-8706-4098
Alexandru Nicolae UngureanuNeuroMuscularFunction, Research Group, School of Exercise & Sport Sciences, University of Turin, 10143 Turin, Italy.ORCID 0000-0002-8780-1737
Anna MulassoNeuroMuscularFunction, Research Group, School of Exercise & Sport Sciences, University of Turin, 10143 Turin, Italy.
Paolo De PasqualeNeuroMuscularFunction, Research Group, School of Exercise & Sport Sciences, University of Turin, 10143 Turin, Italy.
Annamaria ManciniDepartment of Movement Sciences and Wellness (DiSMEB), University Parthenope, 80133 Naples, Italy.ORCID 0000-0002-8595-1387
Pasqualina BuonoDepartment of Movement Sciences and Wellness (DiSMEB), University Parthenope, 80133 Naples, Italy.
Alberto RainoldiNeuroMuscularFunction, Research Group, School of Exercise & Sport Sciences, University of Turin, 10143 Turin, Italy.
Paolo Riccardo BrustioNeuroMuscularFunction, Research Group, School of Exercise & Sport Sciences, University of Turin, 10143 Turin, Italy.ORCID 0000-0001-8422-5132

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study aimed to determine a cut-off value following the filling in of a questionnaire (PAQ-C-It) to identify active Italian children. One-hundred-twenty-nine primary school children (5 Piedmont schools; 47.3% female; mean age = 10 ± 1 years) wore an accelerometer (Actigraph wGT3X-BT) to objectively quantify individual moderate-to-vigorous physical activity during one week. Afterwards, the PAQ-C-It was filled in by participants. A ROC curve procedure was applied to obtain an active/non-active cut-off point. Spearman’s correlation coefficient was also applied to establish the relationship between the two parameters. According to the ROC analysis, the PAQ-C-It cut-off point value is identifiable at >2.75 to indicate active children (area under the curve = 0.62; standard error = 0.05; p = 0.025; coefficient intervals = 0.518−0.716; sensitivity = 0.592, specificity = 0.382), determining that 65 participants (55%) were non-active (mean PAQ-C-It value = 2.3 ± 0.4; active mean PAQ-C-It value = 3.3 ± 0.4). Spearman’s correlation coefficient results were significant but with a small effect size (rho = 0.214; p = 0.008). In conclusion, the present results suggest that the PAQ-C-It can be cautiously used as tool to practically classify active Italian children because of a non-solid relationship between respective accelerometer data and MVPA daily data.

Indexed as

accelerometeractive childrenmoderate-vigorous activitynon-active childrenPAQ-Cphysical activityROC scalessensitivity

Identifiers

PMID35447871
PMCPMC9027592

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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.