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 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 The Relationship Between Physical Activity Level with Quality of Life and General Health among COVID-19 Recovered Individuals

2021 ◽  
Author(s):  
Mahnaz Azmodeh ◽  
Rastegar Hoseini ◽  
Ehsan Amiri
Keyword(s):  
Quality Of Life ◽  
Physical Activity ◽  
Physical Activity Level ◽  
General Health ◽  
Short Form ◽  
Pearson Correlation ◽  
Activity Level ◽  
Men And Women ◽  
The Relationship

Abstract Background: New coronavirus (COVID-19) has a major impact on the individual's physical activity level (PAL); The COVID-19 quarantine outbreak caused a decrease in the PAL. Accordingly, it might also affect the general health and quality of life (QoL). This study aimed to evaluate the relationship between PAL with QoL and general health (GH) among COVID-19 recovered individuals (CRI).Methods: In this descriptive-analytical study, using the multi-stage (Cluster) sampling techniques, 890 CRI (male (n = 438) and female (n = 452)) were volunteered from different COVID-19 testing centers in Kermanshah province. After filling out the consent form, the PAL, GH, and QoL questionnaires were completed and anthropometric parameters were measured. The PAL was assessed using the international physical activity questionnaire (IPAQ-SF), GH was assessed using the GHQ questionnaire and the QoL was measured by the QoL questionnaire (short-form-SF-12). The independent t-test was used to compare the mean of variables between men and women and the Pearson correlation coefficient test was used to evaluate the relationship between variables using SPSS software version 24 at a significant level of (P≤0.05). Results: The findings of the present study showed that men and women with COVID-19 had inadequate PAL (876.11±40.23;739.08±27.02), insufficient GH (50.13±3.1; 54.15±4.28), and poor QoL (22.02±2.28; 19.23±1.87), respectively. The results also showed that men had significantly higher PAL (P=0.035), GH (P=0.047), and QoL (P=0.023) compared to women. Also, the results show that increasing the PAL improves GH and QoL. Conclusions: Considering the prevalence of COVID-19 and its negative impact on GH and QoL, maintaining adequate PAL can be considered as one of the effective strategies for improving physical and GH, and immune systems, by observing the hygiene protocol.

scholarly journals Relationship Between the Physical Activity Level and Some Physical and Coordinative Abilities among Students at Age (12) Years

2020 ◽  
pp. 27-31
Author(s):  
Ahmed Bataineh ◽  
Osama Abdel Fattah ◽  
Morsalat Khashoqa
Keyword(s):  
Physical Activity ◽  
Physical Activity Level ◽  
Dynamic Balance ◽  
Pearson Correlation ◽  
Activity Level ◽  
Male Students ◽  
Motor Test ◽  
Group 12 ◽  
Physical Abilities ◽  
The Relationship

The aim of this study was to identify the physical activity level and some physical and coordinative abilities among studnts in the age group (12) years depending on the gender. Additionally, the relationship between the physical activity level and these abilities was explred. To achieve this, the researchers used the descriptive approach on a sample consisting of (115) students in the model school at Yarmouk University, with (75) male students and (40) female students, who were selected randomly. The researchers used some of the German motor test (DMT) battery items, which included some physical abilities (20 meters), flexion the trunk downwards from the stand position, amended sit-up for 40 seconds, walking and running and some coordinative abilities (back dynamic balance , Jump aside for 15s). For data processing, the researchers used the (SPSS) to calculate the mean, standard deviations, frequency and percentage, test (t) and Pearson correlation coefficient. The results of the study showed that there were statistically significant differences at (α > 0.05) in all physical abilities according to gender variable and for males, and astatistically significant differences at (α <0.05) in all coordinative abilities according to gender variable and for famles. The results of the study also showed a positive correlation between the physical activity level and the physical and coordinative abilities level among the study sample.

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 The investigation of relationship between body mass index and physical activity level along with motor skill in children

2019 ◽  
Vol 16 (3) ◽  
pp. 823-830
Author(s):  
Serkan İbiş ◽  
Zehra Gözel Tepe ◽  
Zait Burak Aktuğ
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Body Mass ◽  
Motor Skills ◽  
Motor Skill ◽  
Physical Activity Level ◽  
Pearson Correlation ◽  
Physical Activities ◽  
Activity Level ◽  
The Relationship

The aim of this study was to investigate the relationship between motor skills and body mass index (BMI) along with physical activity level (PAL) of children aged 8-10 years. A total of 376 children (female = 168, male = 208) aged 8-10 years participated in the study. In the study, BMIs of children were determined by [body weight (kg) / height (m2)] formula, PALs were determined by Physical Activity Questionnare for Older Children (PAQ-C) and motor skills by Allgemeiner Sportmotorischer Test (AST). Pearson Correlation Analysis was used to determine the relationship between motor skill and BMI along with PAL. As a result of the study, a significant positive correlation was found between PAL and AST20 m-running, AST6 min running and ASTtotal score, while a negative correlation was found between BMI and AST20 m running, ASThurdle run, AST medicine ball toss, AST6 min running and ASTtotal score. In addition, it was found that the majority of children in the AST classification were in the moderate (46.3%) and poor (45.5%) motor skills category and no children were in the very good motor skills category. As a result, it can be stated that motor development can be achieved by directing children to physical activities and high BMI constitutes a limitation of motor skills of children. Considering this situation, it may be recommended to direct children to physical activities in order to increase the motor skill that has a positive effect on success and ability to work positively or negatively at every stage of life. ​​Extended English summary is in the end of Full Text PDF (TURKISH) file. Özet Çalışmanın amacı, 8-10 yaşları arasındaki çocukların motor becerileri ile vücut kitle indeksi (VKİ) ve fiziksel aktivite düzeyi (FAD) arasındaki ilişkinin incelenmesidir. Çalışmaya 8-10 yaş arası toplam 376 (kız= 168, erkek=208) çocuk katılmıştır. Çalışmada çocukların VKİ’leri [vücut ağırlığı (kg)/boy (m2)] formülü ile, FAD’leri İlköğretim Öğrencileri İçin Fiziksel Aktivite Anketi (PAQ-C) ile motor becerileri ise Allgemeiner Sportmotorischer Test (AST) ile belirlenmiştir. Motor beceri ile VKİ ve FAD arasındaki ilişkiyi belirlemede Pearson Korelasyon Analizi kullanılmıştır. Çalışma sonucunda, FAD ile AST20 m koşu, AST6 dk koşu ve ASTtoplam skoru arasında pozitif yönlü anlamlı bir ilişki belirlenirken, VKİ ile AST20 m koşu, ASTengel koşusu, ASTsağlık topu atma, AST6 dk koşu ve ASTtoplam skoru arasında negatif yönlü anlamlı bir ilişki tespit edilmiştir. Ayrıca AST sınıflandırılmasında çocukların çoğunluğunun orta (%46,3) ve kötü (%45,5) motor beceri kategorisinde olduğu ve çok iyi motor beceri kategorisinde hiçbir çocuğun bulunmadığı belirlenmiştir. Sonuç olarak çocukların fiziksel aktivitelere yönlendirilerek motor becerilerinde gelişim sağlana bilineceği ve yüksek VKİ’nin çocukların motor becerilerinde sınırlama oluşturduğu söylenebilir. Bu durum göz önüne alınarak hayatın her aşamasında başarıyı ve iş yapabilme kapasitesini olumlu ya da olumsuz olarak etkileyen motor becerinin artırılması için çocukları fiziksel aktivitelere yönlendirmek önerilebilir

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.

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.

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