Influence of Rest Interval Length Between Sets on Blood Pressure and Heart Rate Variability After a Strength Training Session Performed By Prehypertensive Men

OBJECTIVE: To analyze the acute effect of rest interval length on cardiovascular response after resistance exercise. METHODS: Twenty young eutrophic men (23.9 ± 0.7 years;23.8 ± 0.5 kg/m²) performed two experimental sessions in a random order: resistance exercise with a 30-second (I30) and with a 90-second (I90) rest interval between sets. Both sessions included five exercises with 50% of the one-repetition maximum. Before and 24 hours after the experimental sessions, systolic blood pressure (SBP), diastolic blood pressure (DBP), heart rate (HR), and rate-pressure product (RPP) were obtained. RESULTS: The SBP, DBP and RPP responses were similar between the I30 and I90 sessions (p>0.05), while the HR after I30 was significantly higher than after I90 (p<0.01) for the first hour after exercise. The cardiovascular responses during the first 24 hours were similar between both sessions (p>0.05). CONCLUSION: Different recovery intervals did not promote post-exercise hypotension, however, a short rest interval increases heart rate for 1 hour after exercise. In addition, within 24 hours of the responses were similar between groups.

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Effects of a Single Power Strength Training Session on Heart Rate Variability When Performed at Different Simulated Altitudes

High Altitude Medicine & Biology ◽

10.1089/ham.2020.0014 ◽

2020 ◽

Vol 21 (3) ◽

pp. 292-296 ◽

Cited By ~ 1

Author(s):

Jesús Álvarez-Herms ◽

Sonia Julià-sánchez ◽

Hannes Gatterer ◽

Francisco Corbi ◽

Gines Viscor ◽

...

Keyword(s):

Heart Rate ◽

Heart Rate Variability ◽

Strength Training ◽

Training Session ◽

Single Power

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Effects of Strength Training on Blood Pressure and Heart Rate Variability—A Systematic Review

Strength and Conditioning Journal ◽

10.1519/ssc.0000000000000688 ◽

2021 ◽

Vol Publish Ahead of Print ◽

Author(s):

Marcelo Corso ◽

Tiago C. de Figueiredo ◽

Danilo Carvalho ◽

Amanda F. Brown ◽

Belmiro F. de Salles ◽

...

Keyword(s):

Systematic Review ◽

Blood Pressure ◽

Heart Rate ◽

Heart Rate Variability ◽

Strength Training

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Influence of Shiftwork Duration on Blood Pressure and Heart Rate Variability in Short Rotating 8-hour Shiftworkers

Korean Journal of Occupational and Environmental Medicine ◽

10.35371/kjoem.2001.13.2.180 ◽

2001 ◽

Vol 13 (2) ◽

pp. 180 ◽

Cited By ~ 6

Author(s):

Mi Na Ha ◽

Jai Young Kim ◽

Jung Sun Park ◽

Ho Keun Chung

Keyword(s):

Blood Pressure ◽

Heart Rate ◽

Heart Rate Variability

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Early Detection Of Autonomic Neuropathy In Diabetic Minipigs By Blood Pressure And Heart Rate Variability: Relationship With Changes In Vagus Nerve Morphometry

Journal of the Peripheral Nervous System ◽

10.1046/j.1529-8027.2000.abstracts-15.x ◽

2000 ◽

Vol 5 (3) ◽

pp. 173-173

Author(s):

D Mésangeau ◽

S Laroche ◽

D Laude ◽

Jl Elghozi ◽

Ra Malik ◽

...

Keyword(s):

Blood Pressure ◽

Heart Rate ◽

Heart Rate Variability ◽

Early Detection ◽

Vagus Nerve ◽

Autonomic Neuropathy ◽

Nerve Morphometry

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Differential effects of the blood pressure state on pulse rate variability and heart rate variability in critically ill patients

npj Digital Medicine ◽

10.1038/s41746-021-00447-y ◽

2021 ◽

Vol 4 (1) ◽

Author(s):

Elisa Mejía-Mejía ◽

James M. May ◽

Mohamed Elgendi ◽

Panayiotis A. Kyriacou

Keyword(s):

Blood Pressure ◽

Heart Rate ◽

Heart Rate Variability ◽

Pulse Rate ◽

Pulse Transit Time ◽

Pulse Rate Variability ◽

Physiological Factors ◽

Ecg Signals ◽

Non Invasive ◽

Electrocardiogram Ecg

AbstractHeart rate variability (HRV) utilizes the electrocardiogram (ECG) and has been widely studied as a non-invasive indicator of cardiac autonomic activity. Pulse rate variability (PRV) utilizes photoplethysmography (PPG) and recently has been used as a surrogate for HRV. Several studies have found that PRV is not entirely valid as an estimation of HRV and that several physiological factors, including the pulse transit time (PTT) and blood pressure (BP) changes, may affect PRV differently than HRV. This study aimed to assess the relationship between PRV and HRV under different BP states: hypotension, normotension, and hypertension. Using the MIMIC III database, 5 min segments of PPG and ECG signals were used to extract PRV and HRV, respectively. Several time-domain, frequency-domain, and nonlinear indices were obtained from these signals. Bland–Altman analysis, correlation analysis, and Friedman rank sum tests were used to compare HRV and PRV in each state, and PRV and HRV indices were compared among BP states using Kruskal–Wallis tests. The findings indicated that there were differences between PRV and HRV, especially in short-term and nonlinear indices, and although PRV and HRV were altered in a similar manner when there was a change in BP, PRV seemed to be more sensitive to these changes.

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