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 Physical Activity Level and Resting Heart Rate

2021 ◽  
Vol 3 (1) ◽  
pp. 181-187
Author(s):  
Paulus Parholong Siahaan ◽  
Bambang Purwanto ◽  
Raden Mohammad Budiarto ◽  
Irfiansyah Irwadi
Keyword(s):  
Physical Activity ◽  
Heart Rate ◽  
Physical Activity Level ◽  
Human Life ◽  
Pearson Correlation ◽  
Activity Level ◽  
Primary Data ◽  
Resting Heart Rate ◽  
Scoring Method ◽  
The Relationship

Human life quality is related to the density of daily physical activity. Human diseases are related to how many steps to take within a day. The level of human physical activity can be measured using the IPAQ scoring protocol, created by WHO in 1988. The relationship between IPAQ score and health problems show to be correlated. Nevertheless, the relationship between the level of physical activity using the IPAQ score instrument and resting heart rate is not known yet. This researcher conducted this study to determine the relationship between physical activity level using the IPAQ scoring protocol and rest heart rate. This study is an observative analytic with a cross-sectional study design using a simple random sampling technique. This study was conducted in Surabaya from November 2019 until March 2020 using primary data in the form of the IPAQ scoring method and resting heart rate examination using the Polar Heart Rate tool, which is then processed using IBM SPSS Statistics 22. The IPAQ score and resting heart rate measurement results using polar heart rate tools showed that the most college student has a high degree of physical activity level (72%) and a normal level of resting heart rate (90%). When measured with the Pearson correlation test, the correlation of those two components has a negative and weak correlation (r= -0,337, p<0,05). Overall, the correlation of physical activity level and resting heart rate are inverted and weak. For further research can be done to assess other things like one’s external stressors and lifestyle.

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 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 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 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 Analysis of Relationship between the Body Mass Composition and Physical Activity with Body Posture in Children

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Justyna Wyszyńska ◽  
Justyna Podgórska-Bednarz ◽  
Justyna Drzał-Grabiec ◽  
Maciej Rachwał ◽  
Joanna Baran ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Mass ◽  
Muscle Tissue ◽  
Physical Activity Level ◽  
The Body ◽  
Body Posture ◽  
Activity Level ◽  
Mass Composition ◽  
Body Mass Composition ◽  
The Relationship

Introduction. Excessive body mass in turn may contribute to the development of many health disorders including disorders of musculoskeletal system, which still develops intensively at that time.Aim. The aim of this study was to assess the relationship between children’s body mass composition and body posture. The relationship between physical activity level of children and the parameters characterizing their posture was also evaluated.Material and Methods. 120 school age children between 11 and 13 years were enrolled in the study, including 61 girls and 59 boys. Each study participant had the posture evaluated with the photogrammetric method using the projection moiré phenomenon. Moreover, body mass composition and the level of physical activity were evaluated.Results. Children with the lowest content of muscle tissue showed the highest difference in the height of the inferior angles of the scapulas in the coronal plane. Children with excessive body fat had less slope of the thoracic-lumbar spine, greater difference in the depth of the inferior angles of the scapula, and greater angle of the shoulder line. The individuals with higher level of physical activity have a smaller angle of body inclination.Conclusion. The content of muscle tissue, adipose tissue, and physical activity level determines the variability of the parameter characterizing the body posture.

Maximal Oxygen Uptake and Daily Physical Activity in 7- to 12-Year-Old Boys

1993 ◽  
Vol 5 (4) ◽  
pp. 357-366 ◽  
Author(s):  
Hazzaa M. Al-Hazzaa ◽  
Mohammed A. Sulaiman
Keyword(s):  
Physical Activity ◽  
Heart Rate ◽  
Oxygen Uptake ◽  
Maximal Oxygen Uptake ◽  
Open Circuit ◽  
Daily Physical Activity ◽  
Activity Level ◽  
Activity Levels ◽  
School Time ◽  
The Relationship

The present study examined the relationship between maximal oxygen uptake (V̇O2max) and daily physical activity in a group of 7- to 12-year-old boys. V̇O2max was assessed through the incremental treadmill test using an open circuit system. Physical activity level was obtained from heart rate telemetry outside of school time for 8 hrs during weekdays and during 40 min of physical education classes. The findings indicated that the absolute value of V̇O2max increased with age, while relative to body weight it remained almost the same across age, with a mean of 48.4 ml · kg−1 · min−1. Moreover, heart rate telemetry showed that the boys spent a limited amount of time on activities that raise the heart rate to a level above 160 bpm (an average of 1.9%). In addition, V̇O2max was found to be significantly related to the percentage of time spent at activity levels at or above a heart rate of 140 bpm, but not with activity levels at or above a heart rate of 160 bpm.

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