Evidence map›Paper›PMID 30249267›Full record

ArticleBiomedical engineering online2018

Changes in heart rate variability with respect to exercise intensity and time during treadmill running.

Kenneth J Hunt, Jittima Saengsuwan

Open access · goldAbstract read
In one paragraph

Article in Biomedical engineering online, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.9field-weighted citation impact, top 8% of its field
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

17 citing papers in PubMed, 40 citations in OpenAlex.

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  11. Impact of the Result of Soccer Matches on the Heart Rate Variability of Women Soccer Players.International journal of environmental research and public health · 2021
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  16. Robust control of heart rate for cycle ergometer exercise.Medical & biological engineering & computing · 2019
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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

2 authors at 2 institutions in 2 countries.

Kenneth J HuntDivision of Mechanical Engineering, Department of Engineering and Information Technology, Institute for Rehabilitation and Performance Technology, Bern University of Applied Sciences, 3400, Burgdorf, Switzerland.
Jittima SaengsuwanDepartment of Rehabilitation Medicine, Srinagarind Hospital and Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand. sjittima@kku.ac.th.
Bern University of Applied Sciences · CHKhon Kaen University · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHeart rate variability (HRV) arises from the complex interplay of sympathetic and parasympathetic autonomic regulation of heart rate. Ultra-low frequency (ULF) and very-low frequency (VLF) components of HRV play a crucial role in automatic HR controllers, but these frequency bands have hitherto largely been neglected in HRV studies. The aim of this work was to investigate changes in ULF and VLF heart rate variability with respect to exercise intensity and time during treadmill running.

methodsRR intervals were determined by ECG in 21 healthy male participants at rest, and during moderate and vigorous-intensity treadmill running; each of these three tests had a duration of 45 min. Time dependence of HRV was investigated for moderate and vigorous running intensities by dividing the constant-speed stages into three consecutive windows of equal duration ([Formula: see text] 14 min), denoted [Formula: see text], [Formula: see text] and [Formula: see text]. ULF and VLF power were computed using Lomb-Scargle power spectral density estimates.

resultsFor both the ULF and VLF frequency bands, mean power was significantly different between the resting, moderate and vigorous intensity levels (overall [Formula: see text]): mean power was lower for moderate vs. rest ([Formula: see text]), for vigorous vs. rest ([Formula: see text]), and for vigorous vs. moderate ([Formula: see text]). For both ULF and VLF and moderate intensity, mean power was significantly different between the three time windows (overall [Formula: see text] for ULF, overall [Formula: see text] for VLF): for ULF, mean power was lower for [Formula: see text] vs. [Formula: see text] ([Formula: see text]) and for [Formula: see text] vs. [Formula: see text] ([Formula: see text]); for VLF, mean power was lower for [Formula: see text] vs. [Formula: see text] ([Formula: see text]). For ULF and vigorous intensity, there was no significant difference in mean power between the three time windows (overall [Formula: see text]). For VLF and vigorous intensity, mean power was significantly different between [Formula: see text], [Formula: see text] and [Formula: see text] (overall [Formula: see text]): mean power was lower for [Formula: see text] vs. [Formula: see text] ([Formula: see text]) and for [Formula: see text] vs. [Formula: see text] ([Formula: see text]).

conclusionsThe degree of HRV in terms of ULF and VLF power was found to decrease with increasing intensity of exercise. HRV was also observed to decrease over time, but it remains to clarify whether these changes are due to time itself or to increases in HR related to cardiovascular drift. For feedback control applications, attention should be focused on meeting performance targets at low intensity and during the early stages of exercise.

Indexed as

Exercise TestHeart RateAdultFemaleHumansMaleMiddle AgedRunningTime FactorsYoung AdultHeart rate controlHeart rate variabilitySpectral analysisTreadmills

Identifiers

PMID30249267
PMCPMC6154948
OpenAlexW2892335058

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.