Evidence map›Paper›PMID 26781711›Full record

ArticleEuropean journal of applied physiology2016

Submaximal exercise intensity modulates acute post-exercise heart rate variability.

Scott Michael, Ollie Jay, Mark Halaki, Kenneth Graham, Glen M Davis

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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 38 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 2 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

38 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. High-intensity interval aerobic exercise delays recovery from heart rate variability: a systematic review with meta-analysis.Clinical autonomic research : official journal of the Clinical Autonomic Research Society · 2025
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  8. Temporal dissociation between heart rate recovery and heart rate variability recovery after submaximal exercise in healthy older adults.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2026
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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

5 authors.

Scott MichaelDiscipline of Exercise and Sports Science, Faculty of Health Sciences, The University of Sydney, C103, Cumberland Campus, Lidcombe, NSW, 2141, Australia. scott.michael@sydney.edu.au.
Ollie JayDiscipline of Exercise and Sports Science, Faculty of Health Sciences, The University of Sydney, C103, Cumberland Campus, Lidcombe, NSW, 2141, Australia.
Mark HalakiDiscipline of Exercise and Sports Science, Faculty of Health Sciences, The University of Sydney, C103, Cumberland Campus, Lidcombe, NSW, 2141, Australia.
Kenneth GrahamNew South Wales Institute of Sport, Sydney Olympic Park, NSW, Australia.
Glen M DavisDiscipline of Exercise and Sports Science, Faculty of Health Sciences, The University of Sydney, C103, Cumberland Campus, Lidcombe, NSW, 2141, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study investigated whether short-term heart rate variability (HRV) can be used to differentiate between the immediate recovery periods following three different intensities of preceding exercise.

methods12 males cycled for 8 min at three intensities: LOW (40-45 %), MOD (75-80 %) and HIGH (90-95 %) of heart rate (HR) reserve. HRV was assessed during exercise and throughout 10-min seated recovery.

results1-min HR recovery was reduced following greater exercise intensities when expressed as R-R interval (RRI, ms) (p < 0.001), but not b min(-1) (p = 0.217). During exercise, the natural logarithm of root mean square of successive differences (Ln-RMSSD) was higher during LOW (1.66 ± 0.47 ms) relative to MOD (1.14 ± 0.32 ms) and HIGH (1.30 ± 0.25 ms) (p ≤ 0.037). Similar results were observed for high-frequency spectra (Ln-HF-LOW: 2.9 ± 1.0; MOD: 1.6 ± 0.6; HIGH: 1.6 ± 0.3 ms(2), p < 0.001). By 1-min recovery, higher preceding exercise intensities resulted in lower HRV amongst all three intensities for Ln-RMSSD (LOW: 3.45 ± 0.58; MOD: 2.34 ± 0.81; HIGH: 1.66 ± 0.78 ms, p < 0.001) and Ln-HF (LOW: 6.0 ± 1.0; MOD: 4.3 ± 1.4; HIGH: 2.8 ± 1.4 ms(2), p < 0.001). Similarly, by 1-min recovery 'HR-corrected' HRV (Ln-RMSSD: RRI × 10(3)) was different amongst all three intensities (LOW: 3.64 ± 0.49; MOD: 2.90 ± 0.65; HIGH: 2.40 ± 0.67, p < 0.001). These differences were maintained throughout 10-min recovery (p ≤ 0.027).

conclusionPreceding exercise intensity has a graded effect on recovery HRV measures reflecting cardiac vagal activity, even after correcting for the underlying HR. The immediate recovery following exercise is a potentially useful period to investigate autonomic activity, as multiple levels of autonomic activity can be clearly differentiated between using HRV. When investigating post-exercise HRV it is critical to account for the relative exercise intensity.

Indexed as

Heart RateAdultAnalysis of VarianceAutonomic Nervous SystemExerciseHumansMaleRandom AllocationAutonomicHRVParasympatheticRecoveryVagal

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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.