ArticlePloS one2022
Decrease of heart rate variability during exercise: An index of cardiorespiratory fitness.
Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.
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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.
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Who cites it
18 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Exploring heart rate variability in polycystic ovary syndrome: implications for cardiovascular health: a systematic review and meta-analysis.Systematic reviews · 2024Pooled it
- Beneficial impacts of physical activity on heart rate variability: A systematic review and meta-analysis.PloS one · 2024Pooled it
- Association between cardiac autonomic control and blood pressure response to resistance training in adults with pharmacologically treated hypertension.Physiological reports · 2026Trial
- Effects of Acute Guarana (Nutrients · 2024Trial
- A Hitchhiker's Guide to Physical and Cognitive Effort.Sports medicine (Auckland, N.Z.) · 2026Review
- Reliability Assessment of Wearable Technologies for Physiological Measurements: An Evaluation of Shimmer3 GSR+, Empatica E4, EmbracePlus, and Pixel Watch 2 Across Cognitive, Affective and Physical Activity Tasks.Sensors (Basel, Switzerland) · 2026Article
- Cardiorespiratory coupling tightens with workload during graded exercise: A pilot study with adolescent athletes.Physiological reports · 2026Observational
- Digital physiological biomarkers predict within-person symptom changes in complex chronic illness.NPJ digital medicine · 2026Article
- Resting heart rate variability as a predictor of exercise response in mild post-COVID: insights from a six-minute step test.Biomedical engineering online · 2025Article
- Neural and Cardiac Contributions to Perceptual Suppression During Cycling.Psychophysiology · 2025Article
- Enhancing cardiovascular monitoring: a non-linear model for characterizing RR interval fluctuations in exercise and recovery.Scientific reports · 2025Article
- An Integrated Platform Combining Immersive Virtual Reality and Physiological Sensors for Systematic and Individualized Assessment of Stress Response (bWell): Design and Implementation Study.JMIR formative research · 2025Article
- Heart rate variability is more sensitive to stress than heart rate in specialist police undergoing selection.PloS one · 2025Article
- Exploring the effect of play on heart rate variability as a measure of positive emotional states in pigs.Frontiers in veterinary science · 2025Article
- Article
- From data to decision: Machine learning determination of aerobic and anaerobic thresholds in athletes.PloS one · 2024Article
- A Study of Brain Function Characteristics of Service Members at High Risk for Accidents in the Military.Brain sciences · 2023Article
- Auditory rhythm complexity affects cardiac dynamics in perception and synchronization.PloS one · 2023Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The present study proposes to measure and quantify the heart rate variability (HRV) changes during effort as a function of the heart rate and to test the capacity of the produced indices to predict cardiorespiratory fitness measures. Therefore, the beat-to-beat cardiac time interval series of 18 adolescent athletes (15.2 ± 2.0 years) measured during maximal graded effort test were detrended using a dynamical first-order differential equation model. HRV was then calculated as the standard deviation of the detrended RR intervals (SDRR) within successive windows of one minute. The variation of this measure of HRV during exercise is properly fitted by an exponential decrease of the heart rate: the SDRR is divided by 2 every increase of heart rate of 20 beats/min. The HR increase necessary to divide by 2 the HRV is linearly inversely correlated with the maximum oxygen consumption (r = -0.60, p = 0.006), the maximal aerobic power (r = -0.62, p = 0.006), and, to a lesser extent, to the power at the ventilatory thresholds (r = -0.53, p = 0.02 and r = -0.47, p = 0.05 for the first and second threshold). It indicates that the decrease of the HRV when the heart rate increases is faster among athletes with better fitness. This analysis, based only on cardiac measurements, provides a promising tool for the study of cardiac measurements generated by portable devices.
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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.