scholarly journals Exercise intensity to maximal aerobic speed, physical activity level and heart rate variability in postmenopausal women

2020 ◽  
Vol 20 (2) ◽  
pp. 63-70
Author(s):  
Felipe de Ornelas ◽  
Danilo Rodrigues Batista ◽  
Vlademir Meneghel ◽  
Wellington Gonçalves Dias ◽  
Guilherme Borsetti Businari ◽  
...  
Keyword(s):  
Physical Activity ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Physical Exercise ◽  
Postmenopausal Women ◽  
Aerobic Capacity ◽  
Exercise Intensity ◽  
Physical Activity Level ◽  
Activity Level ◽  
Maximal Aerobic Speed

Physical inactivity is main cause of disease worldwide. Identify the physical exercise preference, resulting in increases adherence and future intention to perform physical activity. The preference of the intensity of exercise questionnaire (PRETIE-Q) is the main tool used to assess preference in physical exercise. Variables as age, body mass index (BMI), usual physical activity level (PAL), maximal oxygen uptake (VO2máx), can influence in PRETIE-Q answers. The purpose of this study was investigate if there is relation between preference for exercise intensity with maximal aerobic speed (MAS), PAL and heart rate variability (HRV) in postmenopausal women phase. Participated of study 30 subjects who answer PRETIE-Q together with analyses of MAS, PAL and HRV. Preference was large correlated with MAS (r = 0.63), PAL (r = 0.57) and HRVRMSSD (r = 0.52). Together, MAS (40.4%), PAL (10.7%) and HRVRMSSD (6.4%) explained 57.5% of the preference score. This results study allow to health professional, that prescribe physical exercise, understand that subjects with high aerobic capacity, cardiovagal modulation and usual PAL will have preference for high intensity exercise. In consequence, can increase the adherence to systematic practice of physical exercise. Conclude that preference of exercise intensity for women in postmenopausal phase is related with aerobic capacity, high HRV and physical activity level.

scholarly journals Age-Related Change in Heart Rate Variability at Resting in Thai Professional Athletes

2020 ◽  
Vol 11 (3) ◽  
Author(s):  
Maninthorn Thabsuwan ◽  
Therdtham Chawrai ◽  
Chaladol Boonsri ◽  
Tepmanas Bupha-Intr
Keyword(s):  
Physical Activity ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Oxygen Consumption ◽  
Frequency Domain ◽  
Physical Activity Level ◽  
Maximal Oxygen Consumption ◽  
Activity Level ◽  
Age Related ◽  
Potential Marker

Background: Although regular exercise is beneficially acknowledged in promoting general health status, the cardiovascular risk of sudden cardiac death in highly training athletes has been reported. Unfortunately, the primary key factor in inducing cardiac problems in athletic populations is still questioned. Objectives: In the present study, we aim to determine factors that could affect the relationship between physical activity level and cardiac autonomic function in the Thai population. Methods: Forty participants were recruited and classified into three groups based on their physical activity level and sport profession, including sedentary men, elite handball players, and professional futsal players. In all participants, we measured predicted maximal oxygen consumption, time- and frequency- domain heart rate variability (HRV) variables at rest. Results: Results demonstrated a positive correlation between time-domain HRV and estimated maximal oxygen consumption, but not with frequency-domain HRV, in which athletes aged lower than 25 years old (18 - 25 years old) had a significantly higher in the standard deviation of normal RR intervals (SDNN) and root mean square of the successive differences (RMSSD) than that in age-matched sedentary subjects. Interestingly, athletes aged above 25 years old (25 - 32 years old) had lower SDNN and RMSSD with higher low frequency/high-frequency ratio than those athletes aged under 25. Since all athletes aged above 25 years old were world-class national futsal players, stress due to the competitive level might be another factor influencing cardiac autonomic activity in athletes. Conclusions: In conclusion, the study suggested the importance of age and stress exposure on cardiac autonomic regulation in elite athletes. The observed correlation also reinforced HRV as a potential marker in detecting abnormal changes in cardiac health even in an athletic population.

scholarly journals What Is behind Changes in Resting Heart Rate and Heart Rate Variability? A Large-Scale Analysis of Longitudinal Measurements Acquired in Free-Living

Sensors ◽  
2021 ◽  
Vol 21 (23) ◽  
pp. 7932
Author(s):  
Marco Altini ◽  
Daniel Plews
Keyword(s):  
Physical Activity ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Effect Size ◽  
Physical Activity Level ◽  
Alcohol Intake ◽  
Activity Level ◽  
Resting Heart Rate ◽  
Free Living ◽  
The Relationship

The aim of this study was to investigate the relationship between heart rate and heart rate variability (HRV) with respect to individual characteristics and acute stressors. In particular, the relationship between heart rate, HRV, age, sex, body mass index (BMI), and physical activity level was analyzed cross-sectionally in a large sample of 28,175 individuals. Additionally, the change in heart rate and HRV in response to common acute stressors such as training of different intensities, alcohol intake, the menstrual cycle, and sickness was analyzed longitudinally. Acute stressors were analyzed over a period of 5 years for a total of 9 million measurements (320±374 measurements per person). HRV at the population level reduced with age (p < 0.05, r = −0.35, effect size = moderate) and was weakly associated with physical activity level (p < 0.05, r = 0.21, effect size = small) and not associated with sex (p = 0.35, d = 0.02, effect size = negligible). Heart rate was moderately associated with physical activity level (p < 0.05, r = 0.30, effect size = moderate) and sex (p < 0.05, d = 0.63, effect size = moderate) but not with age (p = 0.35, r = −0.01). Similar relationships between BMI, resting heart rate (p < 0.05, r = 0.19, effect size = small), and HRV (p < 0.05, r = −0.10, effect size = small) are shown. In response to acute stressors, we report a 4.6% change in HRV (p < 0.05, d = 0.36, effect size = small) and a 1.3% change in heart rate (p < 0.05, d = 0.38, effect size = small) in response to training, a 6% increase in heart rate (p < 0.05, d = 0.97, effect size = large) and a 12% reduction in HRV (p < 0.05, d = 0.55, effect size = moderate) after high alcohol intake, a 1.6% change in heart rate (p < 0.05, d = 1.41, effect size = large) and a 3.2% change in HRV (p < 0.05, d = 0.80, effect size = large) between the follicular and luteal phases of the menstrual cycle, and a 6% increase in heart rate (p < 0.05, d = 0.97, effect size = large) and 10% reduction in HRV (p < 0.05, d = 0.47, effect size = moderate) during sickness. Acute stressors analysis revealed how HRV is a more sensitive but not specific marker of stress. In conclusion, a short resting heart rate and HRV measurement upon waking using a smartphone app can effectively be used in free-living to quantify individual stress responses across a large range of individuals and stressors.

scholarly journals Heart rate variability during pre-competition and competition periods in volleyball players

2014 ◽  
Vol 6 (1) ◽  
Author(s):  
Robert Podstawski ◽  
Michał Boraczyński ◽  
Danuta Nowosielska-Swadźba ◽  
Danuta Zwolińska
Keyword(s):  
Physical Activity ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Activity Level ◽  
Cardiac Conduction ◽  
Total Power ◽  
Time Analysis ◽  
Volleyball Players ◽  
Competition Period ◽  
The Impact

Summary Study aim: Regular exercise training is thought to modify cardiac autonomic control. One of the body’s responses to training stimuli is heart rate variability (HRV). The use of HRV in the management of sport training is a common practice. The objective of the present study was to assess the impact of the physical activity level on HRV of 1st league national volleyball players prior to and during the competition period. Materials and methods: The study involved 11 players whose HRV was evaluated during the two analysed training periods. Selected indicators of spectral analysis (total power, %VLF, % LF, % HF powers, LF n.u, HF n.u, and LF/HF powers) as well as time analysis (HR, RR, RMSSD, NN50) were assessed on the basis of recordings. Results: The studies conducted in the pre-competition and competition periods showed significant differences in the parameters of spectral VLF% analysis and time NN50 analysis. In the competition period, a significant increase in VLF [%] may be the result of increased psycho-physical arousal, when compared to the pre-competition period. ] Conclusions: Resting bradycardia, assessed on the basis of time analysis indicators, may be the result of internal changes in the sinus node, which reflects the impact of long-term training on the cardiac conduction system. A high level of physical activity of volleyball players in the tested periods could have contributed to a reduction in vagal tone and a shift in the balance of the autonomic nervous system in the direction of the sympathetic system, which may be the result of overtraining

scholarly journals Identification of physical activity level of school adolescents

2019 ◽  
Vol 33 (3) ◽  
pp. 377-389
Author(s):  
Francisco Sérgio Lopes Vasconcelos-Filho ◽  
Roberta Cristina da Rocha-e-Silva ◽  
Vitor Viana da Costa ◽  
Christina Pacheco ◽  
Saulo Chaves Magalhães ◽  
...  
Keyword(s):  
Physical Activity ◽  
Gender Differences ◽  
Heart Rate ◽  
Physical Activity Level ◽  
Activity Level ◽  
Heart Rate Monitoring ◽  
Sports Activity ◽  
Observation Instrument ◽  
High Level ◽  
The Relationship

This study aimed to identify undertaken activities during Physical Education (PE) school classes, such as their content and intensity, and investigate the relationship between PE school classes and the level of physical activity of the students. Fifty school adolescents averagely aging 14.3 years, 1.63m, height and 57.4kg body mass were evaluated. Intensity of PE classes was measured by heart rate monitoring. A PE class content observation instrument was utilized in order to evaluate the sessions. Additionally, IPAQ was used to assess the level of physical activity of the participants. 20% of the students were found to be overweight considering their age. It was noticed that 78% underwent from moderate to high intensity sports activity throughout the classes, without signifi cant gender differences. 96% of the studied subjects were classifi ed as active or very active. Therefore, most of the analyzed adolescents performed satisfactory physical activity, ensuring a high level of physical activity.

scholarly journals Association of heart rate variability with regional difference in senility death ratio: ALLSTAR big data analysis

2019 ◽  
Vol 7 ◽  
pp. 205031211985225 ◽  
Author(s):  
Junichiro Hayano ◽  
Masaya Kisohara ◽  
Yutaka Yoshida ◽  
Hiroyuki Sakano ◽  
Emi Yuda
Keyword(s):  
Physical Activity ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Big Data ◽  
Regional Differences ◽  
Regional Difference ◽  
Elderly Person ◽  
Activity Level ◽  
Activity Levels ◽  
Physical Activity Levels

Objectives: Senility death is defined as natural death in the elderly who do not have a cause of death to be described otherwise and, if human life is finite, it may be one of the ultimate goals of medicine and healthcare. A recent survey in Japan reports that municipalities with a high senility death ratio have lower healthcare costs per late-elderly person. However, the causes of regional differences in senility death ratio and their biomedical determinants were unknown. In this study, we examined the relationships of the regional difference in senility death ratio with the regional differences in heart rate variability and physical activity. Methods: We compared the age-adjusted senility death ratio of all Japanese prefectures with the regional averages of heart rate variability and actigraphic physical activity obtained from a physiological big data of Allostatic State Mapping by Ambulatory ECG Repository (ALLSTAR). Results: The age-adjusted senility death ratio of 47 Japanese prefectures in 2015 ranged from 1.2% to 3.6% in men and from 3.5% to 7.8% in women. We compared these ratios with the age-adjusted indices of heart rate variability in 108,865 men and 136,536 women and of physical activity level in 16,661 men and 21,961 women. Heart rate variability indices and physical activity levels that are known to be associated with low mortality risk were higher in prefectures with higher senility death ratio. Conclusion: The regional senility death ratio in Japan may be associated with regional health status as reflected in heart rate variability and physical activity levels.

Comparisons of Physical Activity Level Using Questionnaires, Pedometer, Caltrac, and Heart Rate Records in Korean Young Men

2007 ◽  
Vol 39 (Supplement) ◽  
pp. S182
Author(s):  
Hong Jinn Ahn ◽  
Myoung Hoon Hwang ◽  
Won Jung Kim ◽  
Byoung Jo Kim ◽  
Myung Chun Lee ◽  
...  
Keyword(s):  
Physical Activity ◽  
Heart Rate ◽  
Physical Activity Level ◽  
Young Men ◽  
Activity Level
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