Evidence map›Paper›PMID 36143294›Full record

ArticleJournal of personalized medicine2022

Relationship between Body Composition and Cardiac Autonomic Regulation in a Large Population of Italian Olympic Athletes.

Daniela Lucini, Antonio Spataro, Luca Giovanelli, Mara Malacarne, Raffaella Spada, Gianfranco Parati, Nadia Solaro, Massimo Pagani

Abstract read
In one paragraph

Article in Journal of personalized medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
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.

Daniela LuciniBIOMETRA Department, University of Milan, 20129 Milan, Italy.ORCID 0000-0003-4845-8988
Antonio SpataroSports Medicine Institute CONI, largo G. Onesti 1, 00197 Rome, Italy.
Luca GiovanelliBIOMETRA Department, University of Milan, 20129 Milan, Italy.ORCID 0000-0002-8767-7588
Mara MalacarneBIOMETRA Department, University of Milan, 20129 Milan, Italy.
Raffaella SpadaSports Medicine Institute CONI, largo G. Onesti 1, 00197 Rome, Italy.
Gianfranco ParatiDepartment of Medicine and Surgery, University of Milano-Bicocca, 20126 Milan, Italy.ORCID 0000-0001-9402-7439
Nadia SolaroDepartment of Statistics and Quantitative Methods, University of Milano-Bicocca, 20126 Milan, Italy.ORCID 0000-0001-8732-5737
Massimo PaganiExercise Medicine Unit, Istituto Auxologico Italiano, IRCCS, 20135 Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Athletic performance is determined by many factors, such as cardiorespiratory fitness, muscular strength and psychological features, which all interact simultaneously. The large Italian National Olympic Committee database of Olympic athletes offers a unique healthy population to verify the strength of the interplay among a number of major elements of training, including autonomic nervous system (ANS) modulation, biochemical indicators and body composition, in a system medicine approach. This observational, retrospective study involved 583 individuals. As part of the yearly precompetitive examination, cardiac autonomic (heart rate variability), psychological, physical (cycloergometer stress test), biochemical and body composition (BOD POD) evaluations were performed. In subsequent analysis, we first considered the relationship between body composition and single individual variables in a simple correlation matrix, including a multitude of variables; then, Exploratory Factor Analysis (EFA) restricted the information to six latent domains, each combining congruent information in relation to body composition. Finally, we employed a multiple quantile regression model to evaluate possible relationships between ANSIs (index capable of synthetizing ANS regulation) and the latent domains indicated by EFA reflecting body composition. We observed a clear relationship between ANS and body mass composition parameters, as indicated by both bivariate correlations and the quantile regression result of ANSIs versus the latent domain aggregating mainly body composition data expressed in % (

Indexed as

autonomic nervous systembody compositionelite athletesexercise trainingheart rate variabilitymultivariate statisticsperformancesport

Identifiers

PMID36143294
PMCPMC9505674

What OpenQuestion holds

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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.