Cardiac autonomic and blood pressure responses to an acute session of battling ropes exercise

Wong, Alexei; Bergen, Douglas; Nordvall, Michael; Allnutt, Amy; Bagheri, Reza

doi:10.1016/j.physbeh.2020.113167

Cited by 9 publications

(3 citation statements)

References 36 publications

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“…A similar trend to HRV, the MAP increased significantly immediately after exercise, decreased rapidly after exercise, and was significantly lower than the maximum value in the 15th minute after exercise, and was less than the basal level within 50 min after exercise, although there was no significant difference compared to the basal value. Consistent with the results of the present study, a previous study found that systolic blood pressure in subjects rose to its highest value in the third minute after exercise and was significantly lower than basal values in the 30th minute after exercise 56 . Another study confirmed that MAP was significantly reduced to pre-exercise levels at the 60th minute after exercise 57 .…”

Section: Discussionsupporting

confidence: 93%

Different humidity environments do not affect the subsequent exercise ability of college football players after aerobic high-intensity interval training

Fan,

Zhang,

Wang

et al. 2024

Sci Rep

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Previous studies have explored the effect of differing heat and relative humidity (RH) environments on the performance of multiple anaerobic high-intensity interval training (HIIT). Still, its impact on physiological responses and performance following aerobic HIIT has not been well studied. This study examined the effects of differing RH environments on physiological responses and performance in college football players following HIIT. Twelve college football completed HIIT under four different environmental conditions: (1) 25 °C/20% RH (Control group); (2) 35 °C/20% RH (H20 group); (3) 35 °C/40% RH (H40 group); (4) 35 °C/80% RH (H80 group). The heart rate (HR), mean arterial pressure (MAP), lactate, tympanic temperature (TT), skin temperature (TS), thermal sensation (TS), and rating of perceived exertion (RPE) were recorded continuously throughout the exercise. The heart rate variability (HRV): including root mean squared differences of the standard deviation (RMSSD)、standard deviation differences of the standard deviation (SDNN)、high frequency (HF), low frequency (LF), squat jump height (SJH), cycling time to exhaustion (TTE), and sweat rate (SR) were monitored pre-exercise and post-exercise. The HR, MAP, lactate, TT, Ts, TS, and RPE in the 4 groups showed a trend of rapid increase, then decreased gradually. There was no significant difference in HR, MAP, TT, or RPE between the 4 groups at the same time point (p > 0.05), in addition to this, when compared to the C group, the lactate, Ts, TS in the other 3 groups significant differences were observed at the corresponding time points (p < 0.05). The RMSSD, SDNN, HF, and LF levels in the 4 groups before exercise were not significantly different. The RMSSD and HF in the H40 and H80 groups were significantly decreased and other HRV indicators showed no significant difference after exercise. In sports performance measurement, the SJH and TTE were significantly decreased, but there was no significant difference in the 4 groups. The SR was no significant difference in the 4 groups after exercise. In conclusion, heat and humidity environments elicited generally greater physiological effects compared with the normal environment but did not affect sports performance in college football players.

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Section: Discussionsupporting

confidence: 93%

Different humidity environments do not affect the subsequent exercise ability of college football players after aerobic high-intensity interval training

Fan,

Zhang,

Wang

et al. 2024

Sci Rep

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“…ANS balance was calculated by dividing LF and HF by LF + HF, respectively [ 42 ]. That produced normalized LF (nLF) and normalized HF (nHF).…”

Section: Methodsmentioning

confidence: 99%

Clinical Implication of Maumgyeol Basic Service–the 2 Channel Electroencephalography and a Photoplethysmogram–based Mental Health Evaluation Software

Lee

Hwang

Kim

et al. 2023

Clin Psychopharmacol Neurosci

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Objective Maumgyeol Basic service is a mental health evaluation and grade scoring software using the 2 channels EEG and photoplethysmogram (PPG). This service is supposed to assess potential at-risk groups with mental illness more easily, rapidly, and reliably. This study aimed to evaluate the clinical implication of the Maumgyeol Basic service. Methods One hundred one healthy controls and 103 patients with a psychiatric disorder were recruited. Psychological evaluation (Mental Health Screening for Depressive Disorders [MHS-D], Mental Health Screening for Anxiety Disorders [MHS-A], cognitive stress response scale [CSRS], 12-item General Health Questionnaire [GHQ-12], Clinical Global Im-pression [CGI]) and digit symbol substitution test (DSST) were applied to all participants. Maumgyeol brain health score and Maumgyeol mind health score were calculated from 2 channel frontal EEG and PPG, respectively. Results Participants were divided into three groups Maumgyeol Risky, Maumgyeol Good, and Maumgyeol Usual. The Maumgyeol mind health scores, but not brain health scores, were significantly lower in the patients group compared to healthy controls. Maumgyeol Risky group showed significantly lower psychological and cognitive ability evaluation scores than Maumgyeol Usual and Good groups. Maumgyel brain health score showed significant correlations with CSRS and DSST. Maumgyeol mind health score showed significant correlations with CGI and DSST. About 20.6% of individuals were classified as the No Insight group, who had mental health problems but were unaware of their illnesses. Conclusion This study suggests that the Maumgyeol Basic service can provide important clinical information about mental health and be used as a meaningful digital mental healthcare monitoring solution to prevent symptom aggravation.

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“…HrV records continued for 1 minute and were headed by a 1.5-minute steadiness period [18]. All HrV records were fulfilled under impulsive breathing situations to avoid inconsistencies in the outcomes for the log-transformed root mean square of successive r-r intervals (lnrMSSD) [20]. The standard deviation of normal r-r intervals (SDNN) and lnrMSSD were collected with the Elite HrV software [18].…”

Section: Heart Rate Variabilitymentioning

confidence: 99%

Effects of active and cold-water immersion recovery strategies on perceived well-being and physical readiness: a crossover study conducted after small-sided soccer games

Baseri¹,

Reisi²,

Bagheri³

et al. 2021

Hum Mov.

Self Cite

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Purpose. The study investigated the effect of active recovery (Ar) and cold-water immersion (CWI) recovery strategies on the speed of recovery after small-sided games (SSGs) in soccer players. Methods. A crossover design was employed to divide 24 male soccer players from a first division Iranian National League (age: 22.3 ± 2.6 years) into 4 experimental conditions: active-active, active-CWI, CWI-active, and CWI-CWI. Heart rate (Hr) variations (standard deviation of normal r-r intervals [SDNN], log-transformed root mean square of successive r-r intervals [lnrMSSD]) and self-reported indices (Hooper questionnaire and rate of perceived exertion [rPE]) were measured. Twenty-four hours after SSGs, the players performed one of the recovery strategies. Forty-eight hours after the session, they completed a 20-m sprint test; changes were compared with baseline. Results. A significant difference in SDNN Hr variations between Ar and CWI recovery strategies (F = 4.86, p = 0.03, 2 = 0.31) was noted. regarding within-experimental condition changes (F = 60.82, p = 0.001, 2 = 0.85), significant differences were detected when comparing data recorded before SSGs and immediately after SSGs (p = 0.001), as well as for data recorded before SSGs and immediately after recovery (p = 0.001). There was also a significant difference in lnrMSSD Hr variations when Ar and CWI were compared (F = 2.41, p = 0.033, 2 = 0.29). Within-experimental condition changes (F = 127.9, p = 0.001, 2 = 0.74) indicated significant differences between data recorded before SSGs and immediately after SSGs (p = 0.001), as well as between data recorded before SSGs and immediately after recovery (p = 0.001). No significant difference was found between the SDNN index of Hr variability for different recoveries (p = 0.055, 2 = 0.07). Moreover, no significant differences were noted between recovery strategies in terms of Hooper index (p = 0.832, 2 = 0.11), rPE (p = 0.41, 2 = 0.06), or 20-m sprint test (p = 0.78, 2 = 0.02). Conclusions. CWI showed a greater effect than Ar in restoring the impaired vagal-related Hr variability indices observed immediately after SSGs. However, no advantage was observed between the recovery strategies.

show abstract

Cardiac autonomic and blood pressure responses to an acute session of battling ropes exercise

Cited by 9 publications

References 36 publications

Different humidity environments do not affect the subsequent exercise ability of college football players after aerobic high-intensity interval training

Different humidity environments do not affect the subsequent exercise ability of college football players after aerobic high-intensity interval training

Clinical Implication of Maumgyeol Basic Service–the 2 Channel Electroencephalography and a Photoplethysmogram–based Mental Health Evaluation Software

Effects of active and cold-water immersion recovery strategies on perceived well-being and physical readiness: a crossover study conducted after small-sided soccer games

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