Evidence map›Paper›PMID 26873110›Full record

ArticleEuropean journal of applied physiology2016

Discriminating between two autonomic profiles related to posture in Olympic athletes.

Roberto Sala, Antonio Spataro, Mara Malacarne, Chiara Vigo, Stefano Tamorri, Manuela Benzi, Daniela Lucini

Abstract read
PubMed Publisher
In one paragraph

Article in European journal of applied physiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

7 authors.

Roberto SalaUniversity of Milan, BIOMETRA, Milan, Italy.
Antonio SpataroSports Medicine Institute CONI, Rome, Italy.
Mara MalacarneUniversity of Milan, BIOMETRA, Milan, Italy.
Chiara VigoUniversity of Milan, BIOMETRA, Milan, Italy.
Stefano TamorriSports Medicine Institute CONI, Rome, Italy.
Manuela BenziSports Medicine Institute CONI, Rome, Italy.
Daniela LuciniUniversity of Milan, BIOMETRA, Milan, Italy. daniela.lucini@humanitas.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAutonomic assessment might be useful in training management. We planned to assess whether oscillatory metrics of RR variability (such as LFnu) would be more efficient than static indices from low order statistics (RR variance) at discriminating laying rest from stand posture, as an analog of a shift to sympathetic dominance.

methodsWe studied a large population of elite Olympic athletes: a total of 406 athletes (162 females and 244 males, of similar age 21.7 and 24.4 years) participating to the selection for the upcoming 2016 Olympic games. We employed various methods to extract autonomic indices from RR variability and employed a stepwise statistical approach combining factor and discriminant analysis.

resultsWe observed that that relative power of oscillatory components from spectral analysis of RR variability (such as LF or HF in nu) and indices from symbolic analysis (particularly 0V) clearly outperform RR variance in discriminating between two physiological conditions (laying rest and stand) related to posture and autonomic activation.

conclusionsIn world class Olympic athletes we have shown that a small subset of RR variability indices, related to sympathovagal balance, may be more appropriate than RR variance to assess excitatory sympathetic autonomic responsiveness of the SA node. These findings may have practical implications for the use of RR variability in guiding training and predicting success in competitions.

Indexed as

AthletesPostureAdultAnalysis of VarianceAutonomic Nervous SystemFemaleHumansMaleCardiac autonomic proxiesOlympic athletesRR variabilitySympatho vagal balanceTraining

Identifiers

What OpenQuestion holds

Textmetadata
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.