A Comparison of 20-M Shuttle-Run Performance of us Midwestern Youth to Their National and International Counterparts

2004 ◽  
Vol 16 (2) ◽  
pp. 94-112 ◽  
Author(s):  
Michael W. Beets ◽  
Kenneth H. Pitetti

This study was undertaken to initiate a standardized methodology model for reporting cardiovascular fitness (CVF) for youths in the US and to compare the CVF of youths from a Midwestern metropolitan area to their international and US peers. Participants were 795 youths 8–18 yrs old. The 20-m shuttle-run test (20MST) was used to determine CVF and body composition was determined by body mass index (BMI). Comparative analysis was made by sex and age. Participants in this study showed similar CVF levels with their US peers, but when compared with their international counterparts, they demonstrated considerably lower CVF and higher BMI.

2011 ◽  
Vol 28 (2) ◽  
pp. 146-156 ◽  
Author(s):  
Stamatis Agiovlasitis ◽  
Kenneth H. Pitetti ◽  
Myriam Guerra ◽  
Bo Fernhall

This study examined whether 20-m shuttle-run performance, sex, body mass index (BMI), age, height, and weight are associated with peak oxygen uptake (VO2peak) in youth with Down syndrome (DS; n = 53; 25 women, age 8–20 years) and whether these variables can be used to develop an equation to predict VO2peak. BMI, 20-m shuttle-run performance, and sex were significantly associated with VO2peak in youth with DS, whereas age, height, and weight were not. A regression model included only shuttle-run performance as a significant predictor of VO2peak; however, the developed prediction equation had low individual predictability. Therefore, 20-m shuttle-run performance alone does not provide valid prediction of VO2peak in youth with DS. Sex, BMI, age, height, and weight do not improve the prediction of VO2peak.


2020 ◽  
Author(s):  
Sadia Sobhan Pinki ◽  
Irfan Nowroze Noor ◽  
Bayzid Amin ◽  
Md. Ziaul Islam ◽  
Baizid Khoorshid Riaz

Abstract BackgroundAlthough evidence suggests that cardiorespiratory fitness is the most important component associated with future health, little is known of how it is associated with multiple other physical fitness components. Since various physical fitness aspects do not change the same as cardiorespiratory fitness during childhood, it is necessary to establish possible associations between cardiorespiratory fitness and other physical fitness components in children. Therefore, the main purpose of the study was to test the associations between cardiorespiratory fitness with motor performance and body size in 7-14-year-old children.MethodsIn this cross-sectional study, we recruited 1612 children (52.5% girls). Health-related physical fitness components included: 1) body-mass index (kg/m2) calculated from height and weight (measure of body size), 2) sit-and-reach test (measure of flexibility), 3) standing long jump (measure of explosive strength), 4) sit-ups in 30 sec (measure of repetitive strength), 5) 10x5 shuttle run test (measure of agility) and 6) 20-m shuttle run test (measure of aerobic capacity). The associations were performed using generalized estimating equations with β coefficients.ResultsAfter adjusting for age, cardiorespiratory fitness was associated with sit-and-reach test (β=0.13, p<0.001), standing long jump (β=0.59, p<0.001), sit-ups in 30 sec (β=0.53, p<0.001) and 10x5 shuttle run test (β=-0.56, p<0.001) in boys. In girls, cardiorespiratory fitness was associated with body-mass index (β=-0.12, p<0.001), sit-and-reach test (β=0.21, p<0.001), standing long jump (β=0.25, p<0.001), sit-ups in 30 sec (β=0.36, p<0.001) and 10x5 shuttle run test (β=-0.40, p<0.001). No significant associations between cardiorespiratory fitness and body-mass index in boys were observed.ConclusionsAlthough significant, cardiorespiratory fitness is weakly to moderately associated with other physical fitness components, pointing out that such measure should be tested separately from other aspects of physical fitness in school-aged children.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Mario Kasović ◽  
Lovro Štefan ◽  
Vilko Petrić ◽  
Vesna Štemberger ◽  
Iva Blažević

Abstract Background Although evidence suggests that functional endurance capacity is the most important component associated with future health, little is known of how it is associated with multiple other physical fitness components. Since various physical fitness aspects do not change the same as functional endurance capacity during childhood, it is necessary to establish possible associations between functional endurance capacity and other physical fitness components in children. Therefore, the main purpose of the study was to test the associations between functional endurance capacity with other physical fitness components in 7–14-year-old children, stratified by gender. Methods In this cross-sectional study, we recruited 1612 children [mean age ± standard deviation (SD) = 9.72 ± 2.37 years; 52.5% girls). Health-related physical fitness components included: 1) body-mass index (kg/m2) calculated from height and weight (measure of body size), 2) sit-and-reach test (measure of flexibility), 3) standing broad jump (measure of explosive strength of lower extremities), 4) sit-ups in 30 s (measure of repetitive strength of the trunk), 5) 10 × 5 shuttle run test (measure of agility) and 6) 20-m shuttle run test (measure of functional endurance capacity). The associations were performed using generalized estimating equations with beta (β) coefficients. Results After adjusting for age, functional endurance capacity was associated with sit-and-reach test (β = 0.13, p < 0.001), standing broad jump (β = 0.59, p < 0.001), sit-ups in 30 s (β = 0.53, p < 0.001) and 10 × 5 shuttle run test (β = − 0.56, p < 0.001) in boys. In girls, functional endurance capacity was associated with body-mass index (β = − 0.12, p < 0.001), sit-and-reach test (β = 0.21, p < 0.001), standing broad jump (β = 0.25, p < 0.001), sit-ups in 30 s (β = 0.36, p < 0.001) and 10 × 5 shuttle run test (β = − 0.40, p < 0.001). No significant associations between functional endurance capacity and body-mass index in boys were observed. Conclusions Although significant, functional endurance capacity is weakly to moderately associated with other physical fitness components, pointing out that such measure should be tested separately from other aspects of physical fitness in school-aged children.


2019 ◽  
pp. 1-3
Author(s):  
Ashwini Dangi

Objectives:To frame individualized gender – specific prediction equations for shuttle run distance using 20 metre shuttle run test in healthy, Indian children aged between 7 to 19 years and to correlate shuttle run distance with age, height, weight & body mass index. Methods: 494 subjects between the age group of 7 to 19 years were recruited in this study. Demographic details like age, gender, height, weight and body mass index were noted. 20 metre shuttle run test was performed and shuttle run distance was calculated for all participants. Results: Shuttle run distance significantly correlated with age (r =0.303), height (r =0.357), weight (r =0.294), and body mass index (r =0.126). The gender specific reference equation generated forboys is -367.724 + (27.225 x Age) + (487.457 x Height) – (3.213 x Weight) and for girls is 153.689 +(10.306 x Age) +(118.113 x Height) – (1.421 x Weight). Conclusion: The established prediction equation can be used as a reference to evaluate exercise capacity for children and adolescents and to improve the applicability of the 20 metre shuttle run test in clinical practice


2020 ◽  
Author(s):  
Mario Kasović ◽  
Lovro Štefan ◽  
Vilko Petrić ◽  
Vesna Štemberger ◽  
Iva Blažević

Abstract BackgroundAlthough evidence suggests that cardiorespiratory fitness is the most important component associated with future health, little is known of how it is associated with multiple other physical fitness components. Since various physical fitness aspects do not change the same as cardiorespiratory fitness during childhood, it is necessary to establish possible associations between cardiorespiratory fitness and other physical fitness components in children. Therefore, the main purpose of the study was to test the associations between cardiorespiratory fitness with motor performance and body size in 7-14-year-old children.MethodsIn this cross-sectional study, we recruited 1612 children (52.5% girls). Health-related physical fitness components included: 1) body-mass index (kg/m2) calculated from height and weight (measure of body size), 2) sit-and-reach test (measure of flexibility), 3) standing long jump (measure of explosive strength), 4) sit-ups in 30 sec (measure of repetitive strength), 5) 10x5 shuttle run test (measure of agility) and 6) 20-m shuttle run test (measure of aerobic capacity). The associations were performed using generalized estimating equations with β coefficients.ResultsAfter adjusting for age, cardiorespiratory fitness was associated with sit-and-reach test (β=0.13, p<0.001), standing long jump (β=0.59, p<0.001), sit-ups in 30 sec (β=0.53, p<0.001) and 10x5 shuttle run test (β=-0.56, p<0.001) in boys. In girls, cardiorespiratory fitness was associated with body-mass index (β=-0.12, p<0.001), sit-and-reach test (β=0.21, p<0.001), standing long jump (β=0.25, p<0.001), sit-ups in 30 sec (β=0.36, p<0.001) and 10x5 shuttle run test (β=-0.40, p<0.001). No significant associations between cardiorespiratory fitness and body-mass index in boys were observed.ConclusionsAlthough significant, cardiorespiratory fitness is weakly to moderately associated with other physical fitness components, pointing out that such measure should be tested separately from other aspects of physical fitness in school-aged children.


2020 ◽  
pp. 1-26
Author(s):  
Jéssica Cumpian Silva ◽  
Ana Elisa Madalena Rinaldi ◽  
Francisco de Assis Guedes Vasconcelos ◽  
Maria Alice Altenburg Assis ◽  
Camila Medeiros Mazzeti ◽  
...  

ABSTRACT Objective: Our study aimed to describe body phenotypes (BP) estimated by multivariate analysis and their association with body mass. Design: Body phenotypes were defined based on demographic variables, anthropometric data (body mass, height, skinfolds and circumferences), body composition (phase angle measured by bioelectrical impedance analysis), biochemical parameters (triglycerides, glucose, total cholesterol ratio/Low Density Lipoproteins (LDL), haemoglobin and sexual maturation (pubic hair and breasts or gonads). Analysis of variance (ANOVA) was performed to verify the differences between skin colour and the stages of pubertal development, body phenotypes, body composition, anthropometric, and biochemical variables. Setting: Cities of São Paulo-SP, Piracicaba-SP and Florianópolis-SC from Brazil and the United States. Participants: 9269 adolescents aged between 10 to 15 years old. Results: The composition of BP was similar in all surveys, which are: BP1 was composed by skinfolds, body mass and circumferences variables; BP2 by pubic hair, breast in girls or gonad in boys, height and age; BP3 by cholesterol, triglycerides and glucose; and BP4 by phase angle, haemoglobin and glucose (negative loading). There was a strong correlation (r = 0.9, p <0.001) between BP1 and body mass index. Conclusion: We highlighted independence observed between biochemical parameters, anthropometry, body composition and sexual maturation. BP may support the calculation of scores for diagnosis of obesity based on anthropometric variables and overcome ambiguity in the isolated use of body mass index.


2020 ◽  
pp. 1-17
Author(s):  
Ilana Eshriqui ◽  
Angélica Marques Martins Valente ◽  
Luciana Dias Folchetti ◽  
Bianca de Almeida-Pititto ◽  
Sandra Roberta G. Ferreira

Abstract Objective: To investigate the association between maternal pre-pregnancy body mass index (BMI) and offspring body composition in adulthood. Design: Retrospective cohort. Undergraduates of nutrition or nutritionists were recruited at the baseline of the Nutritionists’ Health Study between 2014 and 2017. Maternal pre-pregnancy BMI and current life aspects were self-reported through online questionnaires. Three body compartments were DXA-determined. The following variables were obtained: body-fat (%), fat mass index (FMI) (kg/m2), android-to-gynoid fat ratio, visceral adipose tissue (VAT) (cm3), appendicular skeletal muscle mass index (ASMI) (kg/m2), total bone and femur mineral content (g) and density (g/cm2). Linear regression adjusted according to directed acyclic graphs recommendation was performed. Setting: São Paulo, Brazil. Participants: Healthy non-pregnant women (aged 20-45 years) (n=150). Results: Median age and BMI were 22 years (IQR=20; 29) and 22.3 kg/m2 (IQR=20.4; 25.3). Pre-pregnancy BMI≥25 kg/m2 was reported by 14.7% of mothers. In fully adjusted models, maternal pre-pregnancy BMI was associated with their daughters’ body-fat % (β=0.31; 95%CI=0.0004; 0.63), FMI (β=0.17; 95%CI=0.03; 0.30, android-to-gynoid ratio (β=0.01; 95%CI=0.004; 0.02) and VAT (β=0.09; 95%CI=0.02; 0.16), but not with total bone density (β=0.001; 95%CI=-0.003; 0.006) and content (β=7.13; 95%CI=-4.19; 18.46). Direct association with ASMI was also detected, but lost statistical significance when participants whose mothers were underweight were excluded. Conclusions: Maternal pre-pregnancy body mass index was directly associated with offspring general and visceral adiposity but seem not to be associated with bone mass. Results reinforce importance of avoiding excess of maternal adiposity, as an attempt to break the vicious cycle of obesity transmission.


2020 ◽  
Vol 05 (01) ◽  
pp. E8-E13
Author(s):  
Kenzie B. Friesen ◽  
Adam W. Anz ◽  
Jeffrey R. Dugas ◽  
James R. Andrews ◽  
Gretchen D. Oliver

AbstractCurrently it is hypothesized that increased body mass index may contribute to overuse injuries. Thus, if hip or shoulder range of motion is affected by body mass index, pitchers may be placing additional stress on joints as they seek to pitch at maximal velocity. The purpose of this study was to examine if range of motion at the hips and shoulders were related to body mass index classification. A sample of 147 female softball pitchers (17.0±4.2 years; 167.6±11.8 cm; 70.6±17.5 kg; body mass index=24.8±4.7 kg/m2) participated. Bilateral hip and shoulder range of motion were assessed. Multivariate analysis of variance results indicated body mass index [Wilks’ Λ=0.742, F=1.722, p=0.014, η2=0.095] significantly affected range of motion of the shoulder and hip. Post hoc results indicated the underweight group had significantly more range of motion than the obese group in hip internal range of motion on both the throwing side (mean difference=12.39, p=0.005) and glove side (mean difference=11.98, p=0.004). Although body composition is not overly emphasized among softball pitchers, the current study reveals excess weight may inhibit proper mechanics. Coaches, athletic trainers, strength and conditioning personnel, and athletes should acknowledge the role that body composition can play in affecting pitch outcomes.


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