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 ◽  
...  

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.

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 ◽  
...  

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.


2014 ◽  
Vol 8 ◽  
Author(s):  
Anne Stokke ◽  
Andi Weydahl ◽  
Giovanna Calogiuri

Abstract: We monitored the physical activity levels of 42 children during a regular day in kindergarten, using various instruments. This study will provide knowledge about children’s activity levels in kindergarten. It also discusses whether children’s activity levels can be adequately evaluated by the teachers or if there is a need for technical measurements. In addition, we compared the different instruments used to evaluate the children. The employees in the kindergarten were asked to answer a questionnaire about the children’s physical activity level during the day, and a student or a researcher observed and registered one child each. During the same day, activity levels were monitored using actigraphy (AC; Actigraf GT3X) and continuous heart rate monitoring (HR; Team2 Polar ®) in 14 children (six boys and eight girls, 38 and 47 months old, respectively). The researcher-observations defined the observed children as “moderately active”, and AC-data showed that all children had more than 60 minutes of moderate - or high - intensity activity. According to our comparisons, the use of HR to assess the activity in kindergartens is not recommended. On average, the questionnaires reported similar physical activity levels for the same child, although the evaluations varied between employees. When comparing one active and one inactive child, the different methods showed similar results. We conclude that professionals can see a child’s physical activity level when asked to reflect upon it.Sammendrag: Vi målte det fysiske aktivitetsnivået til 42 barn i løpet av en vanlig dag i barnehagen ved hjelp av ulike instrumenter. Denne studien vil gi kunnskap om barns fysiske aktivitet i barnehagen, og om barnas aktivitetsnivå kan bli tilstrekkelig evaluert av lærerne eller om det er behov for tekniske målinger. Videre har vi sammenlignet de ulike instrumentene brukt i observasjonen. De ansatte i barnehagen ble bedt om å svare på et spørreskjema om barns fysiske aktivitetsnivå i løpet av dagen, og en student eller forsker observerte og registrerte ett barn hver. I løpet av samme dag, ble aktivitetsnivået overvåkt ved hjelp av actigraphy (AC; Actigraf GT3X) og kontinuerlig pulsmåling (HR, Team2 Polar ®) blant 14 barn (seks gutter og åtte jenter, 38- og 47-måneder gamle, henholdsvis). Forsker-observasjonene definerte de observerte barna som "moderat aktiv", og AC-data viste at alle barna hadde mer enn 60 minutter aktivitet med moderat eller høy intensitet. Våre sammenligninger viser at bruk av HR for å vurdere aktiviteten i barnehager er ikke anbefalt. I gjennomsnitt rapporterte spørreskjemaene lignende aktivitetsverdier for det samme barnet, selv om evalueringene varierte mellom ansatte. Når man sammenlignet et aktivt og et inaktivt barn, viste de ulike metodene lignende resultater. Vi konkluderer derfor at ansattes faglige blikk kan se barns fysiske aktivitetsnivå når de blir bedt om å vurdere det.


2021 ◽  
Vol 3 (1) ◽  
pp. 181-187
Author(s):  
Paulus Parholong Siahaan ◽  
Bambang Purwanto ◽  
Raden Mohammad Budiarto ◽  
Irfiansyah Irwadi

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.


Sensors ◽  
2021 ◽  
Vol 21 (23) ◽  
pp. 7932
Author(s):  
Marco Altini ◽  
Daniel Plews

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.


Author(s):  
H. Danin-Mankowitz ◽  
A. Ugarph-Morawski ◽  
F. Braunschweig ◽  
P. Wändell

AbstractVenous thromboembolism (VTE) is the third most common cause of cardiovascular disease. Connection between high level of physical activity (PA) and the onset of VTE is unknown. We searched the literature on the possible association between PA level, especially high levels, and the risk of VTE. A systematic review was carried out to identify relevant articles on the relation between PA level and VTE. The initial search was conducted together with the Karolinska Institutet University Library in February 2018, with follow-up searches after that. In total, 4383 records were found and then screened for exclusion of duplicates and articles outside the area of interest. In total, 16 articles with data on 3 or more levels of PA were included. Of these, 12 were cohort and 4 were case-control studies. Totally 13 studies aimed at investigating VTE cases primarily, while three studies had other primary outcomes. Of the 16 studies, five found a U-shaped association between PA level and VTE risk, although non-significant in three of them. Two articles described an association between a more intense physical activity and a higher risk of VTE, which was significant in one. Nine studies found associations between increasing PA levels and a decreasing VTE risk. Available literature provides diverging results as to the association between high levels of PA and the risk of venous thromboembolism, but with several studies showing an association. Further research is warranted to clarify the relationship between high level PA and VTE.


2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Justyna Wyszyńska ◽  
Justyna Podgórska-Bednarz ◽  
Justyna Drzał-Grabiec ◽  
Maciej Rachwał ◽  
Joanna Baran ◽  
...  

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.


1993 ◽  
Vol 5 (4) ◽  
pp. 357-366 ◽  
Author(s):  
Hazzaa M. Al-Hazzaa ◽  
Mohammed A. Sulaiman

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.


2020 ◽  
Vol 20 (2) ◽  
pp. 63-70
Author(s):  
Felipe de Ornelas ◽  
Danilo Rodrigues Batista ◽  
Vlademir Meneghel ◽  
Wellington Gonçalves Dias ◽  
Guilherme Borsetti Businari ◽  
...  

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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