Comparative Study of Heart Rate Variability, Heart Rate and Blood Pressure in Different Phases of Menstrual Cycle in Healthy Young Women Aged 18-22 Years.

Introduction: Every month, between puberty and menopause, a woman’s body goes through a number of changes to get it ready for a possible pregnancy. This series of hormone-driven events is called the menstrual cycle. A woman’s menstrual cycle is divided into three phases- proliferative phase, secretory phase and menstrual phase. The hormonal surge during each phase causes profound effects on the cardiovascular system as well. However, previous research reported conflicting results in this concept. Thus the controversial statements associating blood pressure and heart rate variability with menstrual cycle promoted this research. Objective: The aim of this study is to evaluate the blood pressure and heart rate variability during different phases of the menstrual cycle. Materials and Methods: 20 healthy women belonging to the proliferative, secretory and menstrual phase of the menstrual cycle were analyzed for autonomic functions tests using systolic blood pressure, diastolic blood pressure, pulse rate and heart rate variability. Results: It showed that there was a statistically significant increase in systolic blood pressure, diastolic blood pressure, and pulse rate during the secretory phase. There was an increase in heart rate variability during the menstrual phase but this was statistically insignificant. Conclusion: The study concluded that there were significant changes in blood pressure during the secretory phase and pulse rate and insignificant increase in heart rate variability during the menstrual phase. Thus, the study also concluded that sympathetic nervous activity in the secretory phase is significantly greater than in the proliferative phase, whereas parasympathetic nervous activity is predominant in the proliferative phase.

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Investigation of Heart Rate Variability During the Menstrual Cycle

Case Medical Research ◽

10.31525/ct1-nct04008277 ◽

2019 ◽

Author(s):

Keyword(s):

Heart Rate ◽

Heart Rate Variability ◽

Menstrual Cycle

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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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