Evidence map›Paper›PMID 30322203›Full record

ArticleInternational journal of environmental research and public health2018

Robust Compositional Analysis of Physical Activity and Sedentary Behaviour Data.

Nikola Štefelová, Jan Dygrýn, Karel Hron, Aleš Gába, Lukáš Rubín, Javier Palarea-Albaladejo

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

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

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  15. Segmented School Physical Activity and Weight Status in Children: Application of Compositional Data Analysis.International journal of environmental research and public health · 2021
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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.

Nikola ŠtefelováFaculty of Science, Palacký University Olomouc, 771 11 Olomouc, Czech Republic. Nikola.Stefelova@seznam.cz.
Jan DygrýnFaculty of Physical Culture, Palacký University Olomouc, 771 11 Olomouc, Czech Republic. jan.dygryn@upol.cz.
Karel HronFaculty of Science, Palacký University Olomouc, 771 11 Olomouc, Czech Republic. hronk@seznam.cz.ORCID 0000-0002-1847-6598
Aleš GábaFaculty of Physical Culture, Palacký University Olomouc, 771 11 Olomouc, Czech Republic. ales.gaba@upol.cz.ORCID 0000-0002-7236-9072
Lukáš RubínFaculty of Physical Culture, Palacký University Olomouc, 771 11 Olomouc, Czech Republic. lukas.rubin@upol.cz.
Javier Palarea-AlbaladejoBiomathematics and Statistics Scotland, JCMB, The King's Buildings, Edinburgh EH9 3FD, UK. javier.palarea@bioss.ac.uk.ORCID 0000-0003-0162-669X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although there is an increasing awareness of the suitability of using compositional data methodology in public health research, classical methods of statistical analysis have been primarily used so far. The present study aims to illustrate the potential of robust statistics to model movement behaviour using Czech adolescent data. We investigated: (1) the inter-relationship between various physical activity (PA) intensities, extended to model relationships by age; and (2) the associations between adolescents' PA and sedentary behavior (SB) structure and obesity. These research questions were addressed using three different types of compositional regression analysis-compositional covariates, compositional response, and regression between compositional parts. Robust counterparts of classical regression methods were used to lessen the influence of possible outliers. We outlined the differences in both classical and robust methods of compositional data analysis. There was a pattern in Czech adolescents' movement/non-movement behavior-extensive SB was related to higher amounts of light-intensity PA, and vigorous PA ratios formed the main source of potential aberrant observations; aging is associated with more SB and vigorous PA at the expense of light-intensity PA and moderate-intensity PA. The robust counterparts indicated that they might provide more stable estimates in the presence of outlying observations. The findings suggested that replacing time spent in SB with vigorous PA may be a powerful tool against adolescents' obesity.

Indexed as

Adolescent BehaviorExerciseRegression AnalysisSedentary BehaviorAdolescentChildFemaleHumansMalePediatric ObesityYoung Adultcompositional datacompositional linear regressionlog-ratio methodologyphysical activitypivot coordinates

Identifiers

PMID30322203
PMCPMC6210094

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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.