Heart Rate and Physical Activity of Children During Dental Treatment

1976 ◽  
Vol 55 (4) ◽  
pp. 648-651 ◽  
Author(s):  
Howard M. Rosenberg ◽  
Aaron Honori Katcher
Keyword(s):  
Physical Activity ◽  
Heart Rate ◽  
Dental Treatment ◽  
Body Movement ◽  
Body Movements

Body movements and heart rate were measured during dental treatment in 58 children 3 to 12 years of age. The heart rate increased in 85% of the 34 children who moved during intraoral injection. The heart rate decreased in 71% of the children with no overt body movement during intraoral injection.

scholarly journals Physical Activity and Blood Sugar Levels in People with Diabetes Mellitus: Evidence from Indonesia

2022 ◽  
Vol 16 ◽  
pp. 146-153
Author(s):  
M. Arifki Zainaro ◽  
Ridwan Ridwan ◽  
Rias Tusianah ◽  
Sudjarwo Sudjarwo ◽  
Usastiawaty C. A. S. Isnainy ◽  
...  
Keyword(s):  
Physical Activity ◽  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Blood Sugar ◽  
Body Movement ◽  
Statistical Test ◽  
Body Movements ◽  
Sugar Levels

Diabetes mellitus (DM) is a slowly deadly disease. Indonesia has the 4th highest number of diabetes mellitus after China, India and the United States. People with diabetes have grown from 8.4 million in 2000 and will become 21.3 million in 2030. This study aims to determine the relationship between body movement and blood sugar levels in patients with type 2 diabetes mellitus. This type of research is quantitative, with a design analytical research and cross-sectional approach. The sample of this study was 131 people with the criteria for suffering from type 2 diabetes mellitus. Data collection used the Global Body Movement Questionnaire (GPAQ) questionnaire, and the statistical test used was the Chi-Square statistical test. The results showed that there was a relationship between physical activity and blood sugar levels in patients with type 2 diabetes mellitus, so it is recommended that DM patients should routinely carry out body movements and control blood sugar levels in health care facilities and take advantage of health services such as health workers if they experience problems in performing body movements and follow a diabetic diet according to the advice of a nutritionist. In-depth conclusions and implications are discussed.

scholarly journals Assessing sleeping energy expenditure in children using heart-rate monitoring calibrated against open-circuit indirect calorimetry: a pilot study

2002 ◽  
Vol 88 (5) ◽  
pp. 533-543 ◽  
Author(s):  
L. Beghin ◽  
L. Michaud ◽  
D. Guimber ◽  
G. Vaksmann ◽  
D. Turck ◽  
...  
Keyword(s):  
Heart Rate ◽  
Energy Expenditure ◽  
Indirect Calorimetry ◽  
Body Movement ◽  
Open Circuit ◽  
New Method ◽  
Sleep Stages ◽  
Body Movements ◽  
The Difference ◽  
Spearman Test

Total energy expenditure (EE) can be assessed in children by the heart-rate (HR) monitoring technique calibrated against open-circuit indirect calorimetry (IC). In this technique, sleeping EE is usually estimated as the lowest value of a 30 min resting EE measurement×0·90 to give an average for the total sleeping period. However, sleeping is a dynamic process in which sleeping EE is modulated by the effect of factors such as body movement and different sleep stages. The aim of the present study was to determine a new method to improve the sleeping EE measurement by taking into account body movements during sleep. Twenty-four non-obese children participated in the present study. All subjects passed through a calibration period. HR and EE measured by IC were simultaneously collected during resting, the postprandial period, and during different levels of activity. Different methods for computing sleeping EE (resting EE×0·90 with different breakpoints (‘flex point’ HR with linear regression or ‘inflection point’ (IP) HR with the third order polynomial regression equation (P3)) were compared with EE measured for least 2·0 h in eight sleeping children. The best method of calculation was then tested in sixteen children undergoing HR monitoring and with a body movement detector. In a subset of eight children undergoing simultaneous sleeping EE measurement by IC and HR, the use of the equation resting EE×0·8 when HR<IP and P3 when HR>IP during the sleeping period gave the lowest difference (1 (SD 5·4) %) compared with other methods (linear or polynomial regressions). The new formula was tested in an independent subset of sixteen other children. The difference between sleeping ee computed with the formula resting EE×0·90 and sleeping EE computed with resting EE×0·8 when HR<IP and the P3 equation when HR>IP during sleeping periods was significant (13 (sd 5·9)%) only for active sleeping subjects (n 6 of 16 subjects). The correlation between the difference in the results from the two methods of calculation and body movements was close (r 0·63, P<0·005, Spearman test) as well as computed sleeping EE (Spearman test, r 0·679, P<0·001), indicating that this new method is reliable for computing sleeping EE with HR monitoring if children are moving during sleep and improves the total EE assessment.

Physical Activity in Aging Population

2019 ◽  
Vol 5 (3) ◽  
pp. 74
Author(s):  
Rezarta Stena ◽  
Klara Hysenaj ◽  
Mitilda Gugu Karoli ◽  
Armelda Teta ◽  
Gjergji Doka
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Heart Rate ◽  
Pain Intensity ◽  
Range Of Motion ◽  
Training Program ◽  
Grip Strength ◽  
Upper Limb ◽  
Hand Grip ◽  
Trunk Flexibility

It is known that worldwide populations are aging, and also that physical activity can play an important role in minimizing impairments characteristic of old age. Adopting a more active lifestyle and doing regular physical activity, including aerobic and resistance exercises, daily walking etc. have been demonstrated to improve cardiovascular, respiratory, and musculoskeletal parameters in older adults. We assessed a potential participant from Elbasan (Albania), 67 years, for eligibility to participate in a 5 month training program. The subject gave written informed consent before inclusion.The following parameters were measured at the beginning (baseline) and end of the training period: BMI, body fat percentage, hand grip strength, lower/upper limb and trunk flexibility and range of motion, heart rate, balance, pain intensity, as well as VO2 max, directly and/or an estimate using the Rockport fitness test estimate. An initial evaluation was carried out just before starting the training (baseline). A second evaluation was made 5 months after starting the program of physical exercise (post training). Each evaluation included the recording of health related events, such as any changes in previous symptoms, as well as measurements of balance, flexibility, body composition, coordination, muscle strength, and aerobic capacity, to detect any changes that might have been induced specifically by physical activity. The subject’s attendance and participation in the program was also recorded. Range of motion for each part evaluated (trunk, hip, cervical region and shoulder) is improved about 15-20° degree. BMI, hand grip strength, lower/upper limb and trunk flexibility, heart rate, balance, pain intensity, VO2 max are also improved after training program. Following a training program or a regular physical activity in older adults minimise impairments characteristics in this age and cardiovascular, respiratory, and musculoskeletal parameters. According to the low importance shown in my country for the physical activity in older adults, I want to emphasize the importance of state structures involvement and the sensibilization of this group of age to stimulate an actively participation in physical training programs followed by professionals for bests life parameters. A higher investment for this age group, building as many facilities as possible for activation and spending quality free time, hiring more physiotherapists in nursing homes will increase life motivation and improve the quality and the parameters of living.

Real-time Judgment of Workload using Heart Rate and Physical Activity

2020 ◽  
Author(s):  
Nobuki Hashiguchi ◽  
Lim Yeongjoo ◽  
Cyo Sya ◽  
Shinichi Kuroishi ◽  
Yasuhiro Miyazaki ◽  
...  
Keyword(s):  
Physical Activity ◽  
Heart Rate ◽  
Real Time ◽  
Time Judgment

scholarly journals Association between Objectively Measured Physical Activity and Arterial Stiffness in Children with Congenital Heart Disease

2021 ◽  
Vol 10 (15) ◽  
pp. 3266
Author(s):  
Laura Willinger ◽  
Leon Brudy ◽  
Renate Oberhoffer-Fritz ◽  
Peter Ewert ◽  
Jan Müller
Keyword(s):  
Physical Activity ◽  
Blood Pressure ◽  
Heart Rate ◽  
Congenital Heart Disease ◽  
Heart Disease ◽  
Arterial Stiffness ◽  
Systolic Blood Pressure ◽  
Congenital Heart ◽  
Z Score ◽  
Objectively Measured

Background: The association between physical activity (PA) and arterial stiffness is particularly important in children with congenital heart disease (CHD) who are at risk for arterial stiffening. The aim of this study was to examine the association between objectively measured PA and arterial stiffness in children and adolescents with CHD. Methods: In 387 children and adolescents with various CHD (12.2 ± 3.3 years; 162 girls) moderate-to-vigorous PA (MVPA) was assessed with the “Garmin vivofit jr.” for 7 consecutive days. Arterial stiffness parameters including pulse wave velocity (PWV) and central systolic blood pressure (cSBP) were non-invasively assessed by oscillometric measurement via Mobil-O-Graph®. Results: MVPA was not associated with PWV (ß = −0.025, p = 0.446) and cSBP (ß = −0.020, p = 0.552) in children with CHD after adjusting for age, sex, BMI z-score, peripheral systolic blood pressure, heart rate and hypertensive agents. Children with CHD were remarkably active with 80% of the study population reaching the WHO recommendation of average 60 min of MVPA per day. Arterial stiffness did not differ between low-active and high-active CHD group after adjusting for age, sex, BMI z-score, peripheral systolic blood pressure, heart rate and hypertensive agents (PWV: F = 0.530, p = 0.467; cSBP: F = 0.843, p = 0.359). Conclusion: In this active cohort, no association between PA and arterial stiffness was found. Longer exposure to the respective risk factors of physical inactivity might be necessary to determine an impact of PA on the vascular system.

scholarly journals Body Composition, Psychological, Cardiovascular, and Physical Activity Factors Related with Academic School Performance

2021 ◽  
Vol 13 (16) ◽  
pp. 8775
Author(s):  
Laura Redondo-Flórez ◽  
Domingo Jesus Ramos-Campo ◽  
Vicente Javier Clemente-Suárez
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Heart Rate ◽  
Body Composition ◽  
Academic Performance ◽  
Body Mass ◽  
Trait Anxiety ◽  
Motor Development ◽  
Overweight And Obesity ◽  
School Students

The aim of the present study was to analyse body composition, anxiety, cardiovascular, and physical activity factors related with academic performance of school students as well as to analyse differences, by age, in these factors. We analysed in 266 primary school students’ (8.81 ± 1.62 years, range: 5–13 years) heart rate, anthropometric variables to calculate body mass index, physical activity performance, anxiety levels and academic results by the average of marks. Students were divided in two different groups, firstly by their lower or higher academic performance, and secondly by age. Results showed a negative correlation between academic performance and age, weight, body mass index and trait anxiety variables. Additionally, significant differences were found by age, presenting older students higher scores in body mass index and lower physical activity, trait anxiety, heart rate and academic performance values than younger students. Overweight and obesity may have a great impact in academic performance in children and we pointed out the necessity to establish programs related with healthy habits which include improvements in physical activity and nutrition behaviours with the objective to enhance children’s health general status, psychological profile, cognitive and motor development, and academic performance.

Energy Expenditure in Playground Games in Primary School Children Measured by Accelerometer and Heart Rate Monitors

2017 ◽  
Vol 27 (5) ◽  
pp. 467-474 ◽  
Author(s):  
Jorge Cañete García-Prieto ◽  
Vicente Martinez-Vizcaino ◽  
Antonio García-Hermoso ◽  
Mairena Sánchez-López ◽  
Natalia Arias-Palencia ◽  
...  
Keyword(s):  
Physical Activity ◽  
Heart Rate ◽  
Energy Expenditure ◽  
Primary School ◽  
Correlation Coefficient ◽  
School Children ◽  
Indirect Calorimetry ◽  
Coefficient Of Variation ◽  
Primary School Children ◽  
Heart Rate Monitors

The aim of this study was to examine the energy expenditure (EE) measured using indirect calorimetry (IC) during playground games and to assess the validity of heart rate (HR) and accelerometry counts as indirect indicators of EE in children´s physical activity games. 32 primary school children (9.9 ± 0.6 years old, 19.8 ± 4.9 kg · m-2 BMI and 37.6 ± 7.2 ml · kg-1 · min-1 VO2max). Indirect calorimetry (IC), accelerometry and HR data were simultaneously collected for each child during a 90 min session of 30 playground games. Thirty-eight sessions were recorded in 32 different children. Each game was recorded at least in three occasions in other three children. The intersubject coefficient of variation within a game was 27% for IC, 37% for accelerometry and 13% for HR. The overall mean EE in the games was 4.2 ± 1.4 kcals · min-1 per game, totaling to 375 ± 122 kcals/per 90 min/session. The correlation coefficient between indirect calorimetry and accelerometer counts was 0.48 (p = .026) for endurance games and 0.21 (p = .574) for strength games. The correlation coefficient between indirect calorimetry and HR was 0.71 (p = .032) for endurance games and 0.48 (p = .026) for strength games. Our data indicate that both accelerometer and HR monitors are useful devices for estimating EE during endurance games, but only HR monitors estimates are accurate for endurance games.

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