Evidence map›Paper›PMID 27271053›Full record

ArticleClinical autonomic research : official journal of the Clinical Autonomic Research Society2016

Detailed heart rate variability analysis in athletes.

Orsolya Kiss, Nóra Sydó, Péter Vargha, Hajnalka Vágó, Csilla Czimbalmos, Eszter Édes, Endre Zima, Györgyi Apponyi, Gergő Merkely, Tibor Sydó and 3 more

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Article in Clinical autonomic research : official journal of the Clinical Autonomic Research Society, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

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0cells of the map it votes in
30citing 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

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

  1. Pooled it
  2. Nicotine supplementation enhances simulated game performance of archery athletes.Journal of the International Society of Sports Nutrition · 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

13 authors.

Orsolya KissSemmelweis University Heart and Vascular Center, 1122, Varosmajor str. 68., Budapest, Hungary.
Nóra SydóSemmelweis University Heart and Vascular Center, 1122, Varosmajor str. 68., Budapest, Hungary.
Péter VarghaSemmelweis University Heart and Vascular Center, 1122, Varosmajor str. 68., Budapest, Hungary.
Hajnalka VágóSemmelweis University Heart and Vascular Center, 1122, Varosmajor str. 68., Budapest, Hungary.
Csilla CzimbalmosSemmelweis University Heart and Vascular Center, 1122, Varosmajor str. 68., Budapest, Hungary.
Eszter ÉdesSemmelweis University Heart and Vascular Center, 1122, Varosmajor str. 68., Budapest, Hungary.
Endre ZimaSemmelweis University Heart and Vascular Center, 1122, Varosmajor str. 68., Budapest, Hungary.
Györgyi ApponyiSemmelweis University Heart and Vascular Center, 1122, Varosmajor str. 68., Budapest, Hungary.
Gergő MerkelySemmelweis University Heart and Vascular Center, 1122, Varosmajor str. 68., Budapest, Hungary.
Tibor SydóCsolnoky Ferenc Hospital, Veszprém, Hungary.
Dávid BeckerSemmelweis University Heart and Vascular Center, 1122, Varosmajor str. 68., Budapest, Hungary.
Thomas G AllisonDivision of Cardiovascular Diseases, Mayo Clinic, Rochester, MN, USA.
Béla MerkelySemmelweis University Heart and Vascular Center, 1122, Varosmajor str. 68., Budapest, Hungary. titkarsag@kardio.sote.hu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveHeart rate variability (HRV) analysis has been used to evaluate patients with various cardiovascular diseases. While the vast majority of HRV studies have focused on pathological states, our study focuses on the less explored area of HRV analysis across different training intensity and sports. We aimed to measure HRV in healthy elite and masters athletes and compare to healthy, but non-athletic controls.

methodsTime-domain HRV analysis was applied in 138 athletes (male 110, age 28.4 ± 8.3) and 100 controls (male 56, age 28.3 ± 6.9) during Holter monitoring (21.3 ± 3.0 h).

resultsAll studied parameters were higher in elite athletes compared to controls [SDNN (CI) 225.3 (216.2-234.5) vs 158.6 (150.2-167.1) ms; SDNN Index (CI) 99.6 (95.6-103.7) vs 72.4 (68.7-76.2) ms; pNN50 (CI) 24.2 (22.2-26.3) vs 14.4 (12.7-16.3) %; RMSSD (CI) 71.8 (67.6-76.2) vs 50.8 (46.9-54.8) ms; p < 0.001]. Masters had higher HRV values than controls, but no significant differences were found between elite athletes and masters athletes. Some parameters were higher in canoeists-kayakers and bicyclists than runners. Lower cut-off values in elite athletes were SDNN: 147.4 ms, SDNN Index: 66.6 ms, pNN50: 9.7 %, RMSSD: 37.9 ms.

interpretationAutonomic regulation in elite athletes described with HRV is significantly different than in healthy controls. Sports modality and level of performance, but not age- or sex-influenced HRV. Our study provides athletic normal HRV values. Further investigations are needed to determine its role in risk stratification, optimization of training, or identifying overtraining.

Indexed as

AthletesAdultAutonomic Nervous SystemBicyclingCross-Sectional StudiesElectrocardiography, AmbulatoryFemaleHeart RateHumansMaleReference ValuesRunningYoung AdultAthletesAutonomic functionHeart rate variability

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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.