The Impact of Menstrual Cycle Phases on Cardiac Autonomic Nervous System Activity: An Observational Study Considering Lifestyle (Diet, Physical Activity, and Sleep) among Female College Students

Tada, Yuki; Yoshizaki, Takahiro; Tomata, Yasutake; Yokoyama, Yuri; Sunami, Ayaka; Hida, Azumi; Kawano, Yukari

doi:10.3177/jnsv.63.249

Cited by 31 publications

(19 citation statements)

References 31 publications

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“…All of them presented a small score. Overall, the recorded information suggests little, if any disturbances linked to menstrual cycles [ 16 , 17 ].…”

Section: Methodsmentioning

confidence: 99%

Effects of heart rate variability biofeedback training in athletes exposed to stress of university examinations

et al. 2018

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IntroductionHeart rate variability biofeedback (HRV-BFB) training, a method whereby one controls an unusually low breathing rate to reach cardiac coherence, has been shown to reduce anxiety and improve cardiac autonomic markers in diseased people, but much less is known about HRV-BFB benefits in healthy people. Here we investigated potential benefits in young competitors experiencing stress during university examinations as well as persistence of benefits after HRV-BFB training cessation.MethodsA group of sports students (n = 12) practiced 5-min HRV-BFB training twice a day for 5-weeks using URGOfeel® (URGOTECH) and was compared to a control group (n = 6). University examinations occurred immediately after HRV-BFB training (Exam1), then 12-weeks later (Exam2). Anxiety markers and cardiac autonomic markers were assessed at baseline, Exam1 and Exam2. Principal Component Analyses (PCA) that combined all these markers were computed at Exam1 and Exam2 to emphasize covariations.ResultsAt Exam 1, immediately after HRV-BFB training cessation, the experimental group demonstrated greater autonomic markers but similar states of anxiety when compared to the Control group. Twelve weeks later at Exam2, autonomic markers were greater and anxiety scores were lesser among the experimental group. PCA highlighted covariations only within cardiac autonomic markers at Exam1. Rather, variations in cardiac markers were associated with anxiety markers at Exam2.ConclusionShort sessions of HRV-BFB training for a brief period of 5 weeks bring substantial benefits to autonomic markers and anxiety levels in young competitors. Here beneficial effects persisted for 12 weeks. Dissociated profiles of anxiety and cardiac autonomic adaptations shed new light on the role of the amygdala in heart-brain interactions after cardiac coherence training.

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“…All of them presented a small score. Overall, the recorded information suggests little, if any disturbances linked to menstrual cycles [ 16 , 17 ].…”

Section: Methodsmentioning

confidence: 99%

Effects of heart rate variability biofeedback training in athletes exposed to stress of university examinations

et al. 2018

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“…In order to minimalize a potential effect of the menstrual cycle to HRV results ( 48 ), all females were measured similarly at the follicular phase of the menstrual cycle based on self-report. In addition, 6 (20%) participating females were taking oral contraceptives pills.…”

Section: Methodsmentioning

confidence: 99%

Sex Differences in Autonomic Cardiac Control and Oxygen Saturation Response to Short-Term Normobaric Hypoxia and Following Recovery: Effect of Aerobic Fitness

2018

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Introduction: The main aims of this study were to investigate autonomic nervous system (ANS) and arterial oxygen saturation (SpO2) responses to simulated altitude in males and females, and to determine the association between maximal oxygen uptake (VO2max) and these responses.Materials and Methods: Heart rate variability (HRV) and SpO2 were monitored in a resting supine position during Preliminary (6 min normoxia), Hypoxia (10 min, fraction of inspired oxygen (FiO2) of 9.6%, simulated altitude ~6,200 m) and Recovery (6 min normoxia) phases in 28 males (age 23.7 ± 1.7 years, normoxic VO2max 59.0 ± 7.8 ml.kg−1.min−1, body mass index (BMI) 24.2 ± 2.1 kg.m−2) and 30 females (age 23.8 ± 1.8 years, VO2max 45.1 ± 8.7 ml.kg−1.min−1, BMI 21.8 ± 3.0 kg.m−2). Spectral analysis of HRV quantified the ANS activity by means of low frequency (LF, 0.05–0.15 Hz) and high frequency (HF, 0.15–0.50 Hz) power, transformed by natural logarithm (Ln). Time domain analysis incorporated the square root of the mean of the squares of the successive differences (rMSSD).Results: There were no significant differences in SpO2 level during hypoxia between the males (71.9 ± 7.5%) and females (70.8 ± 7.1%). Vagally-related HRV variables (Ln HF and Ln rMSSD) exhibited no significant differences between sexes across each phase. However, while the sexes demonstrated similar Ln LF/HF values during the Preliminary phase, the males (0.5 ± 1.3) had a relatively higher (p = 0.001) sympathetic activity compared to females (−0.6 ± 1.4) during the Hypoxia phase. Oxygen desaturation during resting hypoxia was significantly correlated with VO2max in males (r = −0.45, p = 0.017) but not in females (r = 0.01, p = 0.952) and difference between regression lines were significant (p = 0.024).Conclusions: Despite similar oxygen desaturation levels, males exhibited a relatively higher sympathetic responses to hypoxia exposure compared with females. In addition, the SpO2 response to resting hypoxia exposure was related to maximal aerobic capacity in males but not females.

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“…Ovulation, which is triggered by numerous factors including estradiol, a surge of LH, the presence of a mature Graafian follicle, and likely time of day (Simonneaux et al, 2017), frequently occurs between 1/2 and 3/4 of the way through the cycle in humans (Robker et al, 2018). Other physiological systems, including metabolism (Yeung et al, 2010;Zhang et al, 2020) and autonomic balance (Tada et al, 2017) fluctuate with the menstrual cycle. An individual is mostly likely to become pregnant during the time leading up to, and shortly past, the ovulation event, making identification of this period central for the successful use of the FAM.…”

Section: Introductionmentioning

confidence: 99%

“…Across species, patterns of these neuropeptides and hormones exhibit an increase in ultradian frequency and inter-hormone coupling strength leading up to ovulation (Rossmanith et al, 1990;Moenter et al, 1991) and a decrease in ultradian frequency and stability in the luteal phase (Backstrom et al, 1982;Healy et al, 1984;Filicori et al, 1984;Vugt et al, 1984;Rossmanith et al, 1990;Genazzani et al, 1991;Moenter et al, 1991;Licinio et al, 1998). Additionally, peripheral measures of distal body temperature (DBT) and heart rate variability (HRV) reflect the activity of reproductive (Leicht et al, 2003;Chen et al, 2008;Shechter et al, 2011), autonomic (Shannahoff-Khalsa et al, 1996;Stein et al, 2006bStein et al, , 2006aVisrutha et al, 2012;de Zambotti et al, 2013de Zambotti et al, , 2015Tada et al, 2017;Charkoudian et al, 2017) and metabolic systems (Buxton & Atkinson, 1948;Shannahoff-Khalsa et al, 1996;Fredholm et al, 2011;Stuckey et al, 2015) and…”

Section: Introductionmentioning

confidence: 99%

Ultradian Rhythms in Heart Rate Variability and Distal Body Temperature Anticipate the Luteinizing Hormone Surge Onset

Grant

Newman²,

Kriegsfeld

2020

Preprint

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The human menstrual cycle is characterized by predictable patterns of physiological change across timescales, yet non-invasive anticipation of key events is not yet possible at individual resolution. Although patterns of reproductive hormones across the menstrual cycle have been well characterized, monitoring these measures repeatedly to anticipate the preovulatory luteinizing hormone (LH) surge is not practical for fertility awareness. In the present study, we explored whether non-invasive and high frequency measures of distal body temperature (DBT), sleeping heart rate (HR), sleeping heart rate variability (HRV), and sleep timing could be used to anticipate the preovulatory LH surge in women. To test this possibility, we used signal processing to examine these measures across the menstrual cycle. Cycles were examined from both pre- (n=45 cycles) and perimenopausal (n=10 cycles) women using days of supra-surge threshold LH and dates of menstruation for all cycles. For a subset of cycles, urinary estradiol and progesterone metabolites were measured daily around the time of the LH surge. Wavelet analysis revealed a consistent inflection point of ultradian rhythm (2-5 h) power of DBT and HRV that enabled anticipation of the LH surge at least 2 days prior to its onset in 100% of individuals. In contrast, the power of ultradian rhythms in heart rate, circadian rhythms in body temperature, and metrics of sleep duration and sleep timing were not predictive of the LH surge. Together, the present findings reveal fluctuations in distal body temperature and heart rate variability that consistently anticipate the LH surge and may aid in fertility awareness.

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The Impact of Menstrual Cycle Phases on Cardiac Autonomic Nervous System Activity: An Observational Study Considering Lifestyle (Diet, Physical Activity, and Sleep) among Female College Students

Cited by 31 publications

References 31 publications

Effects of heart rate variability biofeedback training in athletes exposed to stress of university examinations

Effects of heart rate variability biofeedback training in athletes exposed to stress of university examinations

Sex Differences in Autonomic Cardiac Control and Oxygen Saturation Response to Short-Term Normobaric Hypoxia and Following Recovery: Effect of Aerobic Fitness

Ultradian Rhythms in Heart Rate Variability and Distal Body Temperature Anticipate the Luteinizing Hormone Surge Onset

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