The Relationship between Peak Oxygen Uptake and Physical Activity in 6- to 8-Year-Old Children

1989 ◽  
Vol 1 (2) ◽  
pp. 127-136 ◽  
Author(s):  
Juliane R. Fenster ◽  
Patty S. Freedson ◽  
Richard A. Washburn ◽  
R. Curtis Ellison
Keyword(s):  
Physical Activity ◽  
Aerobic Capacity ◽  
Large Scale ◽  
Work Capacity ◽  
Peak Oxygen Uptake ◽  
Physical Work ◽  
Physical Work Capacity ◽  
Activity Levels ◽  
Activity Method ◽  
The Relationship

The relationship between physical activity measured using the LSI (Large Scale Integrated Activity Monitor), and questionnaire, with physical work capacity 170 (PWC 170) and aerobic capacity (peak V̇O2) was evaluated in 6- to 8-year-old children (n = 18). The mean (± SD) peak V̇O2 was 44.1 ± 5.6 ml • kg−1 • min−1. Peak V̇O2 was not significantly different for children (n = 8) who had completed two treadmill trials (45.4 vs. 43.5 ml • kg−1 • min−1; R = 0.67, p<0.05). The log LSI expressed as counts per hour (M ± SD = 2.1 ±.22 cts/hr) was the only activity method significantly related to peak V̇O2 (r = 0.59, p<0.05). The correlation between peak V̇O2 with the questionnaire was positive but nonsignificant (r = 0.20). PWC 170 was not related to peak V̇O2 (r = 0.21) or the activity variables (r = 0.12 questionnaire; r = 0.18 log LSI). When the group was divided into high and low peak V̇O2 groups (high: M = 48.8 ml • kg−1 • min−1; low: M = 39.5 ml • kg−1 • min−1), the log LSI was able to distinguish significant differences in activity levels (high: 2.23 ±. 19 cts/hr; low: 1.99±.19 cts/hr). This study suggests that activity measured with the LSI and aerobic capacity are related in this sample of 6- to 8-year-old children.

Physiological responses to maximal effort wheelchair and arm crank ergometry

1980 ◽  
Vol 48 (6) ◽  
pp. 1060-1064 ◽  
Author(s):  
R. M. Glaser ◽  
M. N. Sawka ◽  
M. F. Brune ◽  
S. W. Wilde
Keyword(s):  
Pulmonary Ventilation ◽  
Lactate Concentration ◽  
Blood Lactate Concentration ◽  
Correlation Coefficients ◽  
Work Capacity ◽  
Peak Oxygen Uptake ◽  
Physical Work ◽  
Physical Work Capacity ◽  
Maximal Heart Rate ◽  
Peak Vo2

The purpose of this investigation was to compare physical work capacity (PWC), peak oxygen uptake (peak VO2), maximal pulmonary ventilation (VEmax), maximal heart rate (HRmax), and maximal blood lactate concentration (LAmax) for wheelchair ergometer (WERG) and arm crank ergometer (ACE) exercise. For this, wheelchair-dependent (n = 6) and able-bodied (n = 10) subjects completed a progressive intensity, discontinuous test for each mode of exercise. Each test was terminated by physical exhaustion and/or an inability to maintain a flywheel velocity of 180 m.min-1. Relatively high correlation coefficients were found between values obtained during the two modes of ergometry for PWC, peak VO2, VEmax, and HRmax. WERG exercise was found to elicit a significantly (P less than 0.05) lower PWC (by 36%), HRmax (by 7%), and LAmax (by 26%) than ACE exercise. Peak VO2 and VEmax, however, were similar for both exercise modes. These data suggest that either exercise mode may be used for fitness testing and training of people who cannot use their legs and that arm cranking may be a superior method to propel wheelchairs.

Relation of Academic Performance to Physical Activity and Fitness in Children

2001 ◽  
Vol 13 (3) ◽  
pp. 225-237 ◽  
Author(s):  
Terence Dwyer ◽  
James F. Sallis ◽  
Leigh Blizzard ◽  
Ross Lazarus ◽  
Kimberlie Dean
Keyword(s):  
Physical Activity ◽  
Academic Performance ◽  
Work Capacity ◽  
Physical Work ◽  
Physical Work Capacity ◽  
Cross Sectional ◽  
Standing Long Jump ◽  
Long Jump ◽  
Nationally Representative ◽  
School Ratings

The objective of this study was to examine the association of scholastic performance with physical activity and fitness of children. To do so, school ratings of scholastic ability on a five-point scale for a nationally representative sample of 7,961 Australian schoolchildren aged 7–15 years were compared with physical activity and fitness measurements. Consistently across age and sex groups, the ratings were significantly correlated with questionnaire measures of physical activity and with performance on the 1.6-kilometer run, sit-ups and push-ups challenges, 50-meter sprint, and standing long jump. There were no significant associations for physical work capacity at a heart rate of 170 (PWC170). The results are concordant with the hypothesis that physical activity enhances academic performance, but the cross-sectional nature of the observations limits causal inference, and the disparity for PWC170 gives reason to question whether the associations were due to measurement bias or residual confounding.

Relationship Between Physical Activity and the Objective Indicators of Physical Capital for Women in Fitness

2015 ◽  
Vol 6 (2) ◽  
pp. 21-35
Author(s):  
Aleksandra Čuprika ◽  
Andra Fernāte ◽  
Leonīds Čupriks
Keyword(s):  
Physical Activity ◽  
Body Composition ◽  
Physical Fitness ◽  
Functional State ◽  
Physical Capital ◽  
Work Capacity ◽  
Physical Work ◽  
Physical Work Capacity ◽  
The Impact ◽  
Objective Indicators

Abstract As it is mentioned in the action direction Healthy and Workable Individual of the National Development Plan of Latvia 2012 –2020: 30% of all the dead in Latvia have lost their life at the age of being able to work. The main causes of death rate are different diseases (cardio-vascular a.o.), as well as outer death causes (injuries) (Pudule et al, 2012; Štale et al, 2013). Only 8% of the EU and 6% of the Latvian population regularly perform moderate and very difficult physical activity (PA) (Eurobarometer, 2013). Therefore it is necessary to implement purposeful and effective health promoting and risk limiting events to develop the physical capital of one. The understanding of the impact of physical activity on one’s physical capital is not well explored in the previous studies (Hutson, 2012; Maguire, 2008; Goldenberg, 2003; Hedblom, 2009). Therefore, the aim of the study is to determine the relationship between PA and the objective indicators of physical capital for women in fitness. In the study voluntarily participated 33 women (30±4.1 years) from 2 fitness clubs in Riga. In order to determine the respondents’ objective indicators of physical capital were applied: bioimpedance method (TANITA SC330, Japan, 89/336/EC), heart rate variability analysis data processing software ‘Omega’, complex load test with expiratory gas analysis (VIASYS Healthcare GMBH, Germany) and Eirofit tests for adults. In order to determine the level of PA the IPAQ (Craig et al, 2003) short version in Latvian (Kaupuzs & Larins, 2010) was used. Descriptive and inferential statistics were made (SPSS ver.18.0). Several moderately close (0.5<|rs|<0.69; p<0.01) and close correlations (0.7<|rs|<0.99; p<0.01) are determined between the level of PA and indicators of body composition, physical work capacity, physical fitness and functional state of the body. The level of PA has a positive impact on the objective indicators of physical capital. The more physically active the respondent is, the better physical fitness, higher work capacity, better the indicators of his body composition are and better functional state.

Aerobic Fitness and Physical Activity in Children

2013 ◽  
Vol 25 (4) ◽  
pp. 548-560 ◽  
Author(s):  
Neil Armstrong
Keyword(s):  
Physical Activity ◽  
Aerobic Fitness ◽  
Large Scale ◽  
Peak Oxygen Uptake ◽  
Treadmill Test ◽  
Future Directions ◽  
Activity Monitors ◽  
Meaningful Relationship ◽  
History Of ◽  
The Relationship

In Volume 1 of Pediatric Exercise Science (PES), a paper by Fenster et al. (25) investigated the relationship between peak oxygen uptake (peak V̇O2) and physical activity (PA) in 6- to 8-year-old children. They used both questionnaires and large-scale integrated activity monitors (LSIs) to estimate daily PA and determined peak V̇O2 using an incremental treadmill test to volitional exhaustion. They concluded that peak V̇O2 correlated well with PA as measured by LSIs but commented that questionnaire data were only weakly and nonsignificantly associated with LSI and peak V̇O2 data. Peak V̇O2 and PA are the most researched and reported variables in the 25-year history of PES. Yet, the assessment and interpretation of young people’s aerobic fitness and PA remain problematic and any meaningful relationship between them during childhood and adolescence is shrouded with controversy. The present paper uses Fenster et al.’s (25) report as an indicator of where we were 25 years ago, outlines how far we have advanced since then, and suggests future directions of research in the study of aerobic fitness and PA.In the first volume of PES, Fenster et al. (25) investigated the relationship between 6- to 8-year-old children’s peak oxygen uptake (peak V̇O2) and physical activity (PA). Five boys and 13 girls participated in the study and their data were pooled for analysis. Peak V̇O2 was determined during an incremental treadmill test to voluntary exhaustion and PA was estimated using both questionnaires and large-scale integrated activity monitors (LSIs). On the basis of a significant interclass correlation coefficient of r = .59 between peak V̇O2 and the log of LSI average counts per hour Fenster et al. (25) concluded that “aerobic capacity, as measured by peak V̇O2 correlated well with physical activity as measured by LSI” (p.134).They also commented that questionnaire data were only weakly and nonsignificantly associated with LSI and peak V̇O2 data. Young people’s peak V̇O2 and PA are the most researched and reported variables in the 25-year history of PES and yet the assessment and interpretation of peak V̇O2 and PA and any meaningful relationship between them during growth and maturation are still shrouded with controversy. The present paper uses Fenster et al.’s (25) work as an indicator of our understanding of young people’s peak V̇O2 and PA in 1989, briefly reviews what we know in 2013, and suggests future directions of research.

Is Fitness Level in Childhood Associated with Physical Activity Level as an Adult?

2009 ◽  
Vol 21 (3) ◽  
pp. 329-338 ◽  
Author(s):  
François Trudeau ◽  
Louis Laurencelle ◽  
Roy J. Shephard
Keyword(s):  
Physical Activity ◽  
Physical Fitness ◽  
Physical Activity Level ◽  
Work Capacity ◽  
Activity Level ◽  
Perceived Barriers ◽  
Physical Work ◽  
Physical Work Capacity ◽  
Fitness Level ◽  
Barriers To Exercise

The purpose of this study was to examine the possible influence of childhood physical fitness on physical activity level and some of its psychosocial determinants as an adult. Childhood (age 10–12 years) data from the longitudinal Trois-Rivières Growth and Development Study (body mass index, Physical Work Capacity (PWC170)), number of sit-ups/min, left + right hands grip strength) were correlated with adult data (age 35.0 ± 0.3 years) for physical activity (PA) level, attitude toward PA, intention to exercise, perceived barriers to exercise and support of an active lifestyle by significant others. No significant relationships between childhood physical fitness and adulthood PA were found. Although the sample size is relatively small, our data suggest that the preadolescent physical fitness level has no measurable impact on adult habitual PA, attitudes toward PA, intentions to exercise, perceived barriers to exercise or support from the individual’s entourage.

scholarly journals Estimation of the aerobic capacity by step test in the workers of a tile factory in Yazd in 2017

2020 ◽  
Author(s):  
M Bahrami ◽  
F Qanai ◽  
J Mirmohammadi ◽  
M Askarishahi ◽  
A Barkhordari ◽  
...  
Keyword(s):  
Aerobic Capacity ◽  
Significant Relationship ◽  
Work Capacity ◽  
Cross Sectional Study ◽  
Step Test ◽  
Physical Work ◽  
Physical Work Capacity ◽  
Cross Sectional ◽  
Maximum Aerobic Capacity ◽  
Ceramic Workers

Introduction: Estimation of the maximum aerobic capacity to find a physiological fitness between worker and the work is of great importance. The purpose of this study was to estimate the highest aerobic capacity and physical work capacity of tile and ceramic workers. Materials and methods: In this cross-sectional study, 90 workers were randomly selected from tile and ceramic workers in Yazd. A questionnaire consisting of two parts was used as data collection tool. The first part of the questionnaire included demographic characteristics completed by the interview. In the second part, parameters including height, weight, BMI and heart rate were inserted in the questionnaire. The Queen step test was used to measure the maximum aerobic capacity. The data were analyzed by SPSS software using Mann-Whitney and Kruskal-Wallis tests and Spearman,s test. Results: The maximum aerobic capacity in tile and ceramic workers was estimated to be 3.60±.0.03 L/m. The results showed that aerobic capacity was significantly correlated with weight and body mass index. Also, there was no significant relationship between aerobic capacity, smoking and exercise, and education, but there was a significant relationship between gob title and aerobic capacity. Conclusion: Weight, BMI and type of occupation affect the aerobic capacity of workers.

scholarly journals The Relationship Between Physical Work Capacity and Asthma Disease

2018 ◽  
Vol 10 (2) ◽  
Author(s):  
Ehsanollah Habibi ◽  
Saeid Yazdanirad ◽  
Ebrahim Valipoor ◽  
Hamidreza Azimi ◽  
Javad Gholamiyan ◽  
...  
Keyword(s):  
Work Capacity ◽  
Physical Work ◽  
Physical Work Capacity ◽  
The Relationship

Cardiovascular Fitness of Mentally Retarded Individuals

1988 ◽  
Vol 5 (1) ◽  
pp. 12-28 ◽  
Author(s):  
Bo Fernhall ◽  
Garth T. Tymeson ◽  
Gail E. Webster
Keyword(s):  
Large Scale ◽  
Field Tests ◽  
Mentally Retarded ◽  
Field Studies ◽  
Work Capacity ◽  
Cardiovascular Fitness ◽  
Physical Work ◽  
Future Research ◽  
Physical Work Capacity ◽  
Maximal Aerobic Capacity

This manuscript critically reviews the literature on cardiovascular fitness (CVF) and the mentally retarded (MR) individual. For the purposes of this review, no distinction is made between maximal aerobic capacity, maximal physical work capacity, CVF, and cardiovascular endurance. Several large-scale field studies have been conducted with MR children, and all have generally found low CVF levels for this group. However, these field tests have not been validated with MR individuals, thus this conclusion may be incorrect. Smaller field studies with MR adults and adolescents show similar results, but also exhibit the same problem of nonvalidation of the field tests used. Better evidence for low levels of CVF is exhibited through several well conducted laboratory studies, with measurements of V̇O2 max. In general, MR individuals, regardless of age, possess CVF levels 20-40% below those of their nonretarded peers. It is hypothesized that this is due to inactivity, but there still is the possibility of a retardation-dependent physiological difference. MR children and adults appear to respond in a normal manner to CVF training, but the threshold of training required is undetermined. MR adolescents have not shown reliable increases in CVF with training, although it is not known why. Several suggestions are made regarding the need for future research.

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