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Janz, Kathleen F.; Laurson, Kelly R.; Baptista, Fatima; Mahar, Matthew T.; Welk, Gregory J. – Measurement in Physical Education and Exercise Science, 2022
Using a sample of healthy youth (n = 466, 10 to 18 yr), we report the predictive utility of vertical jump power (VJ Power, W) for predicting bone strength. We measured VJ Power using mechanography and an indicator of bone strength, i.e., height-adjusted total bone mineral content less head (TBLH BMC, g), using DXA. Growth curve models were used to…
Descriptors: Preadolescents, Adolescents, Psychomotor Skills, Muscular Strength
Mahar, Matthew T.; Welk, Gregory J.; Janz, Kathleen F.; Laurson, Kelly; Zhu, Weimo; Baptista, Fatima – Measurement in Physical Education and Exercise Science, 2022
Incorporation of the vertical jump (VJ) test in health-related fitness batteries is predicated on the availability of prediction equations to accurately estimate VJ power. The purpose was to develop and validate a generalizable equation to estimate VJ power from VJ height, body mass, age, and sex in 10- to 18-year-olds. The sample (N = 529)…
Descriptors: Physical Fitness, Muscular Strength, Psychomotor Skills, Body Height
Janz, Kathleen F.; Baptista, Fatima; Ren, Sicong; Zhu, Weimo; Laurson, Kelly R.; Mahar, Matthew T.; Pavlovic, Andjelka; Welk, Gregory J. – Measurement in Physical Education and Exercise Science, 2022
This study summarized protocols in the "Lisbon Study for the Development and Evaluation of Musculoskeletal Fitness Standards in Youth" and assessed associations between fitness assessments and health outcomes. The sample was 529 children and adolescents (10 to 18 yr). The fitness assessments included handgrip, vertical jump, long jump,…
Descriptors: Physical Fitness, Tests, Muscular Strength, Psychomotor Skills
Mahar, Matthew T.; Welk, Gregory J.; Rowe, David A. – Measurement in Physical Education and Exercise Science, 2018
Purpose: To develop models to estimate aerobic fitness (VO[subscript 2]max) from PACER performance in 10- to 18-year-old youth, with and without body mass index (BMI) as a predictor. Method: Youth (N = 280) completed the PACER and a maximal treadmill test to assess VO[subscript 2]max. Validation and cross-validation groups were randomly formed to…
Descriptors: Exercise, Physical Fitness, Preadolescents, Adolescents
Bai, Yang; Saint-Maurice, Pedro F.; Welk, Gregory J.; Allums-Featherston, Kelly; Candelaria, Norma – Journal of School Health, 2016
Background: To advance research on youth fitness promotion it is important to understand factors that may explain the disparities in fitness. Methods: We evaluated data from the FitnessGram NFL PLAY60 Partnership Project to examine school factors influencing aerobic capacity (AC) and body mass index (BMI) in schoolchildren. Individual observations…
Descriptors: Physical Fitness, Body Composition, Socioeconomic Status, Minority Group Students
Saint-Maurice, Pedro F.; Anderson, Katelin; Bai, Yang; Welk, Gregory J. – Research Quarterly for Exercise and Sport, 2016
Purpose: This study examined the agreement between estimated peak oxygen consumption (VO[subscript 2peak]) obtained from the Progressive Aerobic Cardiovascular Endurance Run (PACER) fitness test and equated PACER laps derived from One-Mile Run time (MR). Methods: A sample of 680 participants (324 boys and 356 girls) in Grades 7 through 12…
Descriptors: Metabolism, Physical Fitness, Grade 7, Grade 8
Saint-Maurice, Pedro F.; Welk, Gregory J.; Finn, Kevin J.; Kaj, Mónika – Research Quarterly for Exercise and Sport, 2015
Purpose: The purpose of this article was to evaluate the validity of the Progressive Aerobic Cardiovascular and Endurance Run (PACER) test in a sample of Hungarian youth. Method: Approximately 500 participants (aged 10-18 years old) were randomly selected across Hungary to complete both laboratory (maximal treadmill protocol) and field assessments…
Descriptors: Prediction, Foreign Countries, Physical Fitness, Physical Activities
Chen, Senlin; Welk, Gregory J.; Joens-Matre, Roxane R. – Measurement in Physical Education and Exercise Science, 2014
As the prevalence of childhood obesity increases, it is important to examine possible differences in psychosocial correlates of physical activity between normal weight and overweight children. The study examined fatness (weight status) and (aerobic) fitness as Enabling factors related to youth physical activity within the Youth Physical Activity…
Descriptors: Obesity, Physical Fitness, Physical Activity Level, Influences
Saint-Maurice, Pedro F.; Welk, Gregory J.; Laurson, Kelly R.; Brown, Dale D. – Research Quarterly for Exercise and Sport, 2014
Purpose: The purpose of this study was to examine the impact of body mass index (BMI) on the agreement between aerobic capacity estimates from different Progressive Aerobic Cardiorespiratory Endurance Run (PACER) equations and the Mile Run Test. Method: The agreement between 2 different tests of aerobic capacity was examined on a large data set…
Descriptors: Body Composition, Physical Education, Exercise, Suburban Schools
Corbin, Charles B.; Welk, Gregory J.; Richardson, Cheryl; Vowell, Catherine; Lambdin, Dolly; Wikgren, Scott – Journal of Physical Education, Recreation & Dance, 2014
The promotion of physical fitness has been a key objective of physical education for more than a century. During this period, physical education has evolved to accommodate changing views on fitness and health. The purpose of this article is to discuss issues with fitness assessment and fitness education central to the new Presidential Youth…
Descriptors: Youth, Physical Fitness, Physical Education, Fundamental Concepts
Zhu, Weimo; Boiarskaia, Elena A.; Welk, Gregory J.; Meredith, Marilu D. – Research Quarterly for Exercise and Sport, 2010
Using two major data sets from the Texas Youth Fitness Study, ordinary least squares regression, and hierarchical linear modeling, we examined the impact of key correlates in school physical education programs and policies on students' fitness status and cross-grade differences. While a number of factors, such as teachers' training/updates, recess…
Descriptors: Physical Education, Obesity, Physical Activities, Least Squares Statistics
Welk, Gregory J.; Meredith, Marilu D.; Ihmels, Michelle; Seeger, Chris – Research Quarterly for Exercise and Sport, 2010
This study examined demographic and geographic variability in aggregated school-level data on the percentage of students achieving the FITNESSGRAM[R] Healthy Fitness Zones[TM] (HFZ). Three-way analyses of variance were used to examine differences in fitness achievement rates among schools that had distinct diversity and socioeconomic status…
Descriptors: Socioeconomic Status, Physical Fitness, Geographic Location, Profiles
Zhu, Weimo; Welk, Gregory J.; Meredith, Marilu D.; Boiarskaia, Elena A. – Research Quarterly for Exercise and Sport, 2010
To better understand key physical education program factors and policies that may affect Texas students' physical fitness, a 39-question survey, administered as part of the Texas Youth Fitness Study (TYFS), was sent to 5,651 Texas schools via e-mail. The survey consisted of five sections: (a) demographics, (b) physical education/recess frequency…
Descriptors: Physical Education, Physical Fitness, School Policy, Recess Breaks
Welk, Gregory J. – Measurement in Physical Education and Exercise Science, 2008
The emphasis in public health on lifestyle physical activity in recent years has focused attention on the promotion of lifetime physical activity as the primary objective of physical education. If used properly, physical activity and physical fitness assessments can enhance individual promotion of physical activity and also provide valuable…
Descriptors: Physical Education, Physical Activities, Public Health, Physical Fitness
Joens-Matre, Roxane R.; Welk, Gregory J.; Calabro, Miguel A.; Russell, Daniel W.; Nicklay, Elizabeth; Hensley, Larry D. – Journal of Rural Health, 2008
Context: The increasing prevalence of overweight in youth has been well chronicled, but less is known about the unique patterns and risks that may exist in rural and urban environments. A better understanding of possible rural-urban differences in physical activity profiles may facilitate the development of more targeted physical activity…
Descriptors: Obesity, Body Composition, Physical Activities, Incidence
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