A survey on daily physical activity level, energy expenditure and dietary energy intake by university students in Chungnam Province in Korea

2013 ◽  
Vol 46 (4) ◽  
pp. 346 ◽  
Author(s):  
Sun Hyo Kim
Keyword(s):  
Physical Activity ◽  
Energy Expenditure ◽  
University Students ◽  
Energy Intake ◽  
Physical Activity Level ◽  
Daily Physical Activity ◽  
Activity Level ◽  
Level Energy ◽  
Dietary Energy ◽  
Dietary Energy Intake

scholarly journals PHYSICAL ACTIVITY LEVEL AND ENERGY EXPENDITURE ASSESSED BY ACCELEROMETRY IN 60Y+ BRAZILIAN SUBJECTS

2019 ◽  
Vol 25 (2) ◽  
pp. 116-120
Author(s):  
Luiz Antonio dos Anjos ◽  
Bruna de Andrade Messias da Silva ◽  
Vivian Wahrlich
Keyword(s):  
Physical Activity ◽  
Energy Expenditure ◽  
Physical Activity Level ◽  
Overweight And Obesity ◽  
Activity Level ◽  
Convenience Sample ◽  
Physical Activity Recommendations ◽  
Physical Activity Programs ◽  
Sedentary Activities ◽  
Activity Recommendations

ABSTRACT Objective: To assess the physical activity level (PAL) and the total daily energy expenditure (EE-TDEE) in a sample of ≥60y subjects from Niterói, Rio de Janeiro, Brazil. Methods: A convenience sample of 88 subjects recruited from recreational physical activity programs wore an accelerometer around the waist for seven consecutive days for at least 10h/day. Minute-by-minute EE was estimated from the counts per minute (CPM) data, and the daily sum yielded the TDEE. PAL (TDEE/BMR) with BMR calculated with the FAO/WHO predictive equation and a population-specific equation. Body composition was assessed by DXA. Results: Mean age (SD) was 69.2 (5.8) years, the prevalence of overweight and obesity was 36.4 and 25.0%, respectively, and excess body fat was 39.8%. The subjects spent 600min/day engaged in sedentary activities (CPM<100). Men engaged in 30min of moderate-to-vigorous physical activity (CPM≥1,952) daily, on average. The subjects were active on 34.5 and 18.0% of the weekdays and weekend days with a 1,400 steps/day difference between these days. TDEE was 1,731.5 (348.7) and 1,356.3 (223.7) kcal/day depending on the BMR prediction equation used. Mean PAL was lower than the maintenance level. Conclusions: The high prevalence of sedentary activities and the low percentage of subjects who met the physical activity recommendations indicate that physical activity programs must be adjusted so that the enrolled subjects can meet the physical activity recommendations, preferably with the activities objectively monitored. Population-specific equations improve the final estimation of TDEE and PAL. Level of Evidence I; Diagnostic studies - Investigating a diagnostic test.

scholarly journals Impacts of vigorous and non-vigorous activity on daily energy expenditure

2003 ◽  
Vol 62 (3) ◽  
pp. 645-650 ◽  
Author(s):  
Klaas R. Westerterp
Keyword(s):  
Physical Activity ◽  
Body Size ◽  
Energy Expenditure ◽  
Exercise Training ◽  
Physical Activity Level ◽  
High Intensity ◽  
Activity Level ◽  
Daily Energy Expenditure ◽  
Activity Intensity ◽  
Daily Energy

Activity intensity is a potential determinant of activity-induced energy expenditure. Tri-axial accelerometery is the most objective measurement technique for the assessment of activity intensity, in combination with doubly-labelled water for the measurement of energy expenditure under free-living conditions. Data on the effects of subject characteristics, including body size and age, and exercise training on the relationship between activity intensity and daily energy expenditure are reviewed. Average daily metabolic rate and non-basal energy expenditure are positively related to body size. The duration and intensity of physical activities do not need to be equivalent to the energy spent on activity. Obese subjects spend more energy on physical activity but can perform fewer activities, especially high-intensity (weight-bearing) activities, because of their higher body weight. Physical activity generally declines gradually from about 60 years of age onwards. Most subjects >80 years have an activity level well below the level defined for sedentary middle-aged adults. Spending relatively more time on low-intensity activities has a negative effect on the mean physical activity level. To obtain a higher physical activity level does not necessarily imply high-intensity activities. In an average subject 25% of the activity-induced energy expenditure may be attributed to high-intensity activities. Exercise training, as a form of high-intensity activity, affects the physical activity level more in younger subjects than in elderly subjects.

Total Energy Expenditure and Physical Activity Measured with the Bicarbonate-Urea Method in Patients with Human Immunodeficiency Virus Infection

1996 ◽  
Vol 91 (2) ◽  
pp. 241-245 ◽  
Author(s):  
N. I. J. Paton ◽  
M. Elia ◽  
S. A. Jebb ◽  
G. Jennings ◽  
D. C. MacAllan ◽  
...  
Keyword(s):  
Physical Activity ◽  
Energy Expenditure ◽  
Total Energy ◽  
Physical Activity Level ◽  
Resting Energy Expenditure ◽  
Total Energy Expenditure ◽  
Activity Level ◽  
Hiv Positive ◽  
Urea Method ◽  
Resting Energy

1. Our objectives were to measure total energy expenditure, the daily variation in total energy expenditure and the physical activity level in a group of HIV-positive subjects using the bicarbonate-urea method. The study also aimed to assess the practicalities of using the bicarbonate-urea technique in free-living conditions. 2. Total energy expenditure was measured with the bicarbonate-urea method over 2 consecutive days (1 day in one subject) in 10 male patients with HIV infection (median CD4 count = 30). Resting energy expenditure was measured by indirect calorimetry. Physical activity level (total energy expenditure/resting energy expenditure) was calculated from these measurements and from activity diaries. 3. Resting energy expenditure was found to be 7.46 ± 0.87 MJ/day, 5% higher than predicted values. Total energy expenditure was 10.69 ± 1.95 MJ/day with an intra-individual day-to-day variation of 6 ± 6%. The measured physical activity level was 1.42 ± 0.14, higher than the diary estimate of 1.34 ± 0.16 (P = 0.029), and there were large inter-method differences in individual values. The subcutaneous infusion of bicarbonate was well tolerated and did not seem to restrict normal activities. 4. Total energy expenditure was not elevated in the group of HIV-positive subjects when compared with reference values for normal subjects. The physical activity level of the patients in this study was lower than that measured using other techniques in healthy young men, but was compatible with that expected for people leading a sedentary lifestyle. Reductions in physical activity in patients with HIV are likely to contribute to the wasting process and physical activity level may thus be a clinically useful measure. This study has also provided the first tracer estimate of the day-to-day variation in total energy expenditure. The bicarbonate-urea method represents an important new investigative tool for measuring total energy expenditure which has previously only been possible within the confines of a whole-body calorimeter or using the expensive doubly labelled water method.

scholarly journals Unique associations of the Job Demand-Control-Support model subscales with leisure-time physical activity and dietary energy intake

2019 ◽  
Vol 57 (1) ◽  
pp. 99-117
Author(s):  
Christopher G. BEAN ◽  
Helen R. WINEFIELD ◽  
Amanda D. HUTCHINSON ◽  
Charli SARGENT ◽  
Zumin SHI
Keyword(s):  
Physical Activity ◽  
Energy Intake ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Dietary Energy ◽  
Dietary Energy Intake ◽  
Job Demand ◽  
Demand Control ◽  
Support Model

scholarly journals Relación entre el nivel de actividad física, uso de videojuegos y rendimiento académico en estudiantes universitarios | Relationship between physical activity level, use of video games and academic performance in university students

2020 ◽  
Vol 13 (26) ◽  
pp. 64
Author(s):  
Bernardino Javier Sánchez-Alcaraz Martinez ◽  
Alba Sánchez-Díaz ◽  
Manuel Alfonso-Asencio ◽  
Javier Courel-Ibáñez ◽  
Alejandro Sánchez-Pay
Keyword(s):  
Physical Activity ◽  
Academic Performance ◽  
Video Games ◽  
University Students ◽  
Physical Activity Level ◽  
Study Data ◽  
Activity Level ◽  
Average Grade ◽  
Educación Primaria ◽  
Estudiantes Universitarios

Una de las causas atribuibles a la reducción de los niveles de práctica de actividad física en jóvenes es el aumento del uso de los videojuegos. El objetivo de este estudio fue conocer el nivel de práctica de actividad física y su relación con el uso de videojuegos y el rendimiento académico en estudiantes universitarios. Ochenta y siete estudiantes (edad = 20 ± 6 años, 42 hombres y 45 mujeres) pertenecientes al Grado en Ciencias de la Actividad Física y del Deporte y al Grado de Educación Primaria participaron en el estudio. La recogida de datos serealizó medianteloscuestionariosPhysician-based Assessment and Counseling for Exercise yel Cuestionariode Experiencia Relacionada conlos Videojuegos. El rendimiento académico se analizó mediante la nota media de los estudiantes. Los resultados mostraron una relación positiva entre el nivel de actividad física y el rendimiento académico (a mayor actividad física, mayor nota media), al igual que entre el nivel de actividad física y el uso de videojuegos (a mayor nivel de actividad física, mayor uso de videojuegos).AbstractOne of the causes attributable to the reduction of physical activity practice levels in young people is the increase in the use of video games. The aim of this study was to know the relationship between the practice of physical activity, the use of video games and academic performance in university students. Eighty-one students (age = 20 ± 6 years, 42 men and 45 women) belonging to the Degree in Physical Activity and Sports Sciences and the Primary Education Degree participated in the study. Data collection was carried out using the Physician-based Assessment and Counseling for Exercise questionnaires and theVideogamesRelated Experience Questionnaire. Academic performance wasanalysedusing the students' average grade. The results showed a positive relationship between the level of physical activity and academic performance (higher physical activity, higher average grade), as well as between the level of physical activity and the use of video games (higher physical activity level, higher use of video games).

Genetic analysis of daily physical activity using a mouse chromosome substitution strain

2009 ◽  
Vol 39 (1) ◽  
pp. 47-55 ◽  
Author(s):  
He S. Yang ◽  
Martha H. Vitaterna ◽  
Aaron D. Laposky ◽  
Kazuhiro Shimomura ◽  
Fred W. Turek
Keyword(s):  
Physical Activity ◽  
Physical Activity Level ◽  
Wheel Running ◽  
Daily Physical Activity ◽  
Activity Level ◽  
Constant Darkness ◽  
Circadian Period ◽  
Chromosome 13 ◽  
Running Activity ◽  
Wheel Running Activity

There is considerable evidence for a genetic basis underlying individual differences in spontaneous physical activity in humans and animals. Previous publications indicate that the physical activity level and pattern vary among inbred strains of mice and identified a genomic region on chromosome 13 as quantitative trait loci (QTL) for physical activity. To confirm and further characterize the role of chromosome 13 in regulating daily physical activity level and pattern, we conducted a comprehensive phenotypic study in the chromosome 13 substitution strain (CSS-13) in which the individual chromosome 13 from the A/J strain was substituted into an otherwise complete C57BL/6J (B6) genome. The B6 and A/J parental strains exhibited pronounced differences in daily physical activity, sleep-wake structure, circadian period and body weight. Here we report that a single A/J chromosome 13 in the context of a B6 genetic background conferred a profound reduction in both total cage activity and wheel-running activity under a 14:10-h light-dark cycle, as well as in constant darkness, compared with B6 controls. Additionally, CSS-13 mice differed from B6 controls in the diurnal distribution of activity and the day-to-day variability in activity onset. We further performed a linkage analysis and mapped a significant QTL on chromosome 13 regulating the daily wheel running activity level in mice. Taken together, our findings indicate a QTL on chromosome 13 with dramatic and specific effects on daily voluntary physical activity, but not on circadian period, sleep, or other aspects of activity that are different between B6 and A/J strains.

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