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Showing 1 to 15 of 21 results Save | Export
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Schedler, Simon; Brock, Katharina; Fleischhauer, Fabian; Kiss, Rainer; Muehlbauer, Thomas – Research Quarterly for Exercise and Sport, 2020
Purpose: In youth, cross-sectional studies reported age differences in balance performance that were in favor of adolescents. Thus, trainability of balance performance might be different in children compared to adolescents. The purpose of this study was therefore to compare the effects of balance training (BT) on balance performance between…
Descriptors: Psychomotor Skills, Age Differences, Pretests Posttests, Children
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Menting, Stein Gerrit Paul; Elferink-Gemser, Marije Titia; Edwards, Andrew Mark; Hettinga, Florentina Johanna – Research Quarterly for Exercise and Sport, 2019
Purpose: To study the pacing behavior and performance of novice youth exercisers in a controlled laboratory setting. Method: Ten healthy participants (seven male, three female, 15.8±1.0 years) completed four, 2-km trials on a Velotron cycling ergometer. Visit 1 was a familiarization trial. Visits 2 to 4 involved the following conditions, in…
Descriptors: Physical Activities, Novices, Measurement, Performance
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Santos, Sara; Coutinho, Diogo; Gonçalves, Bruno; Schöllhorn, Wolfgang; Sampaio, Jaime; Leite, Nuno – Research Quarterly for Exercise and Sport, 2018
Purpose: The aim of this study was to identify the effects of a differential-learning program, embedded in small-sided games, on the creative and tactical behavior of youth soccer players. Forty players from under-13 (U13) and under-15 (U15) were allocated into control and experimental groups and were tested using a randomized pretest to posttest…
Descriptors: Team Sports, Teaching Methods, Randomized Controlled Trials, Comparative Analysis
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Armstrong, Neil – Research Quarterly for Exercise and Sport, 2017
Peak oxygen uptake (VO[subscript 2]) is internationally recognized as the criterion measure of youth aerobic fitness, but despite pediatric data being available for almost 80 years, its measurement and interpretation in relation to growth, maturation, and health remain controversial. The trainability of youth aerobic fitness continues to be hotly…
Descriptors: Physical Fitness, Exercise, Physical Activities, Adolescents
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Weiss, Maureen R.; Bolter, Nicole D.; Kipp, Lindsay E. – Research Quarterly for Exercise and Sport, 2016
Purpose: This manuscript represents the 3rd in a series of articles documenting our longitudinal evaluation of "The First Tee," a physical activity-based youth development program that uses golf as a vehicle for teaching life skills and enhancing developmental outcomes. Previous phases of our project: (a) established initial data-based…
Descriptors: Longitudinal Studies, Trend Analysis, Youth Programs, Physical Activities
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Haugen, Tommy; Reinboth, Michael; Hetlelid, Ken J.; Peters, Derek M.; Høigaard, Rune – Research Quarterly for Exercise and Sport, 2016
Purpose: The purpose of this study was to determine if mental toughness moderated the occurrence of social loafing in cycle time-trial performance. Method: Twenty-seven men (M[subscript age] = 17.7 years, SD = 0.6) completed the Sport Mental Toughness Questionnaire prior to completing a 1-min cycling trial under 2 conditions: once with individual…
Descriptors: Resilience (Psychology), Personality Traits, Group Dynamics, Secondary School Students
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Hager, Erin R.; Treuth, Margarita S.; Gormely, Candice; Epps, LaShawna; Snitker, Soren; Black, Maureen M. – Research Quarterly for Exercise and Sport, 2015
Purpose: Ankle accelerometry allows for 24-hr data collection and improves data volume/integrity versus hip accelerometry. Using Actical ankle accelerometry, the purpose of this study was to (a) develop sensitive/specific thresholds, (b) examine validity/reliability, (c) compare new thresholds with those of the manufacturer, and (d) examine…
Descriptors: Physical Activities, Physical Activity Level, Females, Adolescents
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Lopez Castillo, Maria A.; Carlson, Jordan A.; Cain, Kelli L.; Bonilla, Edith A.; Chuang, Emmeline; Elder, John P.; Sallis, James F. – Research Quarterly for Exercise and Sport, 2015
Purpose: The study aims were to determine: (a) how class structure varies by dance type, (b) how moderate-to-vigorous physical activity (MVPA) and sedentary behavior vary by dance class segments, and (c) how class structure relates to total MVPA in dance classes. Method: Participants were 291 boys and girls ages 5 to 18 years old enrolled in 58…
Descriptors: Dance, Dance Education, Physical Activities, Physical Activity Level
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Zhu, Zheng; Chen, Peijie; Zhuang, Jie – Research Quarterly for Exercise and Sport, 2013
Purpose: Many ActiGraph accelerometer cutoff points and equations have been developed to classify children and youth's physical activity (PA) into different intensity levels. Using a sample from the Chinese City Children and Youth Physical Activity Study, this study was to develop new ActiGraph cutoff points for moderate-to-vigorous physical…
Descriptors: Foreign Countries, Measurement Equipment, Physical Activities, Physical Activity Level
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Zhu, Zheng; Chen, Peijie; Zhuang, Jie – Research Quarterly for Exercise and Sport, 2013
Purpose: The purpose of this study was to develop and cross-validate an equation based on ActiGraph accelerometer GT3X output to predict children and youth's energy expenditure (EE) of physical activity (PA). Method: Participants were 367 Chinese children and youth (179 boys and 188 girls, aged 9 to 17 years old) who wore 1 ActiGraph GT3X…
Descriptors: Foreign Countries, Physical Activities, Physical Activity Level, Children
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Zhuang, Jie; Chen, Peijie; Wang, Chao; Jin, Jing; Zhu, Zheng; Zhang, Wenjie – Research Quarterly for Exercise and Sport, 2013
Purpose: The purpose of this study was to determine which method, individual information-centered (IIC) or group information-centered (GIC), is more efficient in recovering missing physical activity (PA) data. Method: A total of 2,758 Chinese children and youth aged 9 to 17 years old (1,438 boys and 1,320 girls) wore ActiGraph GT3X/GT3X+…
Descriptors: Foreign Countries, Physical Activities, Measurement Equipment, Data Analysis
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Louis, Magali; Collet, Christian; Champely, Stephane; Guillot, Aymeric – Research Quarterly for Exercise and Sport, 2012
Athletes' ability to use motor imagery (MI) to predict the speed at which they could perform a motor sequence has received little attention. In this study, 21 alpine skiers and 16 equestrian riders performed MI based on a prediction of actual performance time (a) after the course inspection, (b) before the start, and (c) after the actual…
Descriptors: Foreign Countries, Accuracy, Psychomotor Skills, Time Perspective
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Gay, Jennifer L.; Monsma, Eva V.; Torres-McGehee, Toni M. – Research Quarterly for Exercise and Sport, 2011
In the present study, we examined developmental and contextual factors that may increase the odds of reporting higher social physique anxiety (SPA) among 404 adolescent athletes 11 to 16 years old. Findings showed older, later maturing athletes past peak height velocity and with greater body mass index (BMI) reported higher SPA. Individual…
Descriptors: Body Composition, Athletes, Puberty, Anxiety
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Petranek, Laura Jones; Barton, Gina V. – Research Quarterly for Exercise and Sport, 2011
A developmental description of overarm-throwing characteristics of U-14 female ASA softball players is presented here. Comparisons were made between these athletes and teens of similar age in the United States (Runion, Roberton, & Langendorfer, 2003) and in Germany (Ehl, Roberton, & Langendorfer, 2005). A majority of the softball players…
Descriptors: Team Sports, Females, Motion, Foreign Countries
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Mahon, Anthony D.; Marjerrison, Andrea D.; Lee, Jonah D.; Woodruff, Megan E.; Hanna, Lauren E. – Research Quarterly for Exercise and Sport, 2010
In this study, we compared measured maximal heart rate (HRmax) to two different HRmax prediction equations [220-age and 208-0.7(age)] in 52 children ages 7-17 years. We determined the relationship of chronological age, maturational age, and resting HR to measured HRmax and assessed seated resting HR and HRmax during a graded exercise test.…
Descriptors: Metabolism, Maturity (Individuals), Age, Prediction
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