scholarly journals OBESITY STATUS, PHYSICAL ACTIVITY, AND AEROBIC FITNESS IN CHILDREN97

1997 ◽  
Vol 29 (Supplement) ◽  
pp. 17
Author(s):  
M. T. Mahar ◽  
C. R. Parker ◽  
D. A. Rowe
2020 ◽  
pp. 026010602097557
Author(s):  
Shasha Bai ◽  
Anthony Goudie ◽  
Elisabet Børsheim ◽  
Judith L Weber

Background: We report the design, protocol and statistical analysis plan for the Arkansas Active Kids (AAK) Study. The study investigates the complex relationships between factors that contribute to metabolic health and obesity status in prepubertal school-age children in the state of Arkansas. Aim: We aim to identify modifiable behavioral and environmental factors and phenotypes related to metabolic health that are associated with obesity status that, if addressed effectively, can aid in designing effective intervention strategies to improve fitness and reduce obesity in children. Methods: We analyzed dietary and physical activity data from two national surveys (National Survey of Children’s Health and Youth Risk Behavior Surveillance System). We then conducted detailed surveys to collect dietary, physical activity, socio-demographic, and environmental data from a sample of 226 prepubertal Arkansas children. In the same sample of prepubertal children, we also collected extensive physiologic data to further study associations between physical activity and metabolic health. Results: All study visits included detailed measures of vital signs, energy expenditure, components of physical fitness, body composition and the collection of biological samples for determination of metabolic analytes. Conclusion: The observational, environmental and physiological results will be used to craft multivariate statistical models to identify which variables define ‘phenotype signatures’ that associate with fitness level and obesity status.


2015 ◽  
Vol 308 (6) ◽  
pp. R530-R542 ◽  
Author(s):  
Victoria J. Vieira-Potter ◽  
Jaume Padilla ◽  
Young-Min Park ◽  
Rebecca J. Welly ◽  
Rebecca J. Scroggins ◽  
...  

Ovariectomized rodents model human menopause in that they rapidly gain weight, reduce spontaneous physical activity (SPA), and develop metabolic dysfunction, including insulin resistance. How contrasting aerobic fitness levels impacts ovariectomy (OVX)-associated metabolic dysfunction is not known. Female rats selectively bred for high and low intrinsic aerobic fitness [high-capacity runners (HCR) and low-capacity runners (LCR), respectively] were maintained under sedentary conditions for 39 wk. Midway through the observation period, OVX or sham (SHM) operations were performed providing HCR-SHM, HCR-OVX, LCR-SHM, and LCR-OVX groups. Glucose tolerance, energy expenditure, and SPA were measured before and 4 wk after surgery, while body composition via dual-energy X-ray absorptiometry and adipose tissue distribution, brown adipose tissue (BAT), and skeletal muscle phenotype, hepatic lipid content, insulin resistance via homeostatic assessment model of insulin resistance and AdipoIR, and blood lipids were assessed at death. Remarkably, HCR were protected from OVX-associated increases in adiposity and insulin resistance, observed only in LCR. HCR rats were ∼30% smaller, had ∼70% greater spontaneous physical activity (SPA), consumed ∼10% more relative energy, had greater skeletal muscle proliferator-activated receptor coactivator 1-alpha, and ∼40% more BAT. OVX did not increase energy intake and reduced SPA to the same extent in both HCR and LCR. LCR were particularly affected by an OVX-associated reduction in resting energy expenditure and experienced a reduction in relative BAT; resting energy expenditure correlated positively with BAT across all animals ( r = 0.6; P < 0.001). In conclusion, despite reduced SPA following OVX, high intrinsic aerobic fitness protects against OVX-associated increases in adiposity and insulin resistance. The mechanism may involve preservation of resting energy expenditure.


Author(s):  
Denis Fabrício Valério ◽  
Arthur Fernandes Gáspari ◽  
Giovana Vergínea de Souza ◽  
Cleiton Augusto Libardi ◽  
Claudia Regina Cavaglieri ◽  
...  

Introduction: Physical inactivity is considered as one of the factors to increase the risk of developing cardiovascular diseases (CVDs) and decrease aerobic fitness mainly in middle-age. Increased habitual physical activity (HPA) is one of the strategies recommended to reduce physical inactivity. However, it is not known whether middle-age individuals who exclusively perform greater amount of HPA have greater aerobic fitness and / or a lower risk of CVDs. Objective: Verify the association between HPA with the risk of CVDs and aerobic fitness in individuals who only perform HPA. Method: We selected 89 male volunteers, age: 47.4 ± 5.06 years, who did not practice systemized physical training. Our measurements were: HPA by the International Physical Activity Questionnaire and Baecke questionnaires, the aerobic fitness by direct assessment of maximal oxygen consumption (VO2 máx) and the risk of developing cardiovascular disease by the score calculation of General Cardiovascular Risk Profile from Framingham Study. Results: There was no correlation of the HPA level with cardiovascular risk factors, general cardiovascular disease risk and VO2 máx. Moreover, no difference was found between the categorical groups of the IPAQ questionnaire and between the groups, “clusters”, calculated from the Baecke questionnaire scores for the variables of cardiovascular risk, general cardiovascular disease risk and VO2 máx. Conclusion: This study have found that the HPA level of middle-aged men is not associated with lower cardiovascular risk profile or higher aerobic fitness, suggesting that only increase HPA may not be enough to promote beneficial adaptations in aerobic fitness and improve risk profile for CVDs. These results may be related to low volume and intensity of HPA, which reinforces the importance of performing physical training with control of these variables for health promotion.


2014 ◽  
Vol 29 (3) ◽  
pp. 228-237 ◽  
Author(s):  
Dana Manley ◽  
Patricia Cowan ◽  
Carolyn Graff ◽  
Michael Perlow ◽  
Pamela Rice ◽  
...  

2014 ◽  
Vol 46 ◽  
pp. 120
Author(s):  
Susana Vale ◽  
Stewart Trost ◽  
Carla Rêgo ◽  
Sandra Abreu ◽  
Sandra Silva dos Santos ◽  
...  

2019 ◽  
Vol 362 ◽  
pp. 122-130 ◽  
Author(s):  
Ilona Ruotsalainen ◽  
Ville Renvall ◽  
Tetiana Gorbach ◽  
Heidi J. Syväoja ◽  
Tuija H. Tammelin ◽  
...  

2000 ◽  
Vol 12 (3) ◽  
pp. 232-243
Author(s):  
Kathleen F. Janz ◽  
Jeffrey D. Dawson ◽  
Larry T. Mahoney

To evaluate the effect of changes in aerobic fitness and physical activity on changes in lipoproteins, we measured body composition, peak V̇O2, vigorous and sedentary activity, maturation, and lipoproteins in 125 children (mean baseline age, 10.5 years) for 5 years. Change in variables was analyzed using the slopes of the regression line obtained by plotting the data for each child. No predictor variables were significant for girls. In boys, predictors of favorable changes in lipoproteins included decreases in fatness, increases in fitness, early maturation, and increases in fat-free body mass (FFM). Multivariable analysis, adjusted for baseline age, indicated that change in FFM explained 21% of the variability in change in LDL-C. Results suggest that during puberty, changes in activity and fitness do not predict changes in lipoproteins.


2006 ◽  
Vol 18 (2) ◽  
pp. 173-181 ◽  
Author(s):  
Han C.G. Kemper ◽  
Lando L.J. Koppes

The purpose of this study was to test the hypothesis that physical activity (PA), measured over a period of 23 years, is beneficial to aerobic fitness (VO2max) in boys and girls (13-36 years) who were enrolled in the Amsterdam Growth and Health Longitudinal Study (AGAHLS). PA was measured using a standardized activity interview. VO2max was assessed directly with a maximal running test on a treadmill. To assess the longitudinal relationship between PA and VO2max, different longitudinal analyses were carried out over different age periods, correcting for various confounders such as lifestyle parameters, biological parameters, and initial VO2max. Highly significant relationships (p < .05) were observed between PA and VO2max in four of the five analyses. However, in an autoregression analysis, when current PA has been related to the future change in VO2max, the results are not any more significant (p > .05). Analysis of the data of PA and VO2max from the AGAHLS population does not fully support the hypothesis that PA affects VO2max.


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