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Laurson, Kelly R.; Baptista, Fátima; Mahar, Matthew T.; Welk, Greg J.; Janz, Kathleen F. – Measurement in Physical Education and Exercise Science, 2022
We developed plank test standards, based on trunk lean mass-to-fat mass (LM/FM) ratio, in a sample of healthy Portuguese 10--18 year olds (n = 474, 46.4% female). Height and weight were measured and muscular endurance was assessed using the prone plank test. Trunk LM/FM ratio was determined using dual-energy x-ray absorptiometry. Plank standards…
Descriptors: Test Construction, Muscular Strength, Foreign Countries, Preadolescents
Izquierdo-Gomez, Rocio; Esteban-Cornejo, Irene; Cabanas-Sanchez, Veronica; Marcos, Ascensión; Gómez-Martínez, Sonia; Castro-Piñero, José; Veiga, Óscar L. – Journal of Intellectual & Developmental Disability, 2023
Introduction: The aims of this study were to examine cross-sectional, and longitudinal association of different measures of obesity and physical fitness with cardiovascular disease (CVD) risk factors in adolescents with Down syndrome. Methods: Longitudinal analysis included 90 adolescents with Down syndrome. Obesity and physical fitness were…
Descriptors: Obesity, Physical Fitness, Heart Disorders, At Risk Persons
Laurson, Kelly R.; Baptista, Fátima; Mahar, Matthew T.; Welk, Greg J.; Janz, Kathleen F. – Measurement in Physical Education and Exercise Science, 2022
We developed age- and sex-specific smoothed percentiles for vertical and long jump, as well as vertical jump power, in healthy 10-18 year olds (n = 529, 47.1% female). Jump height and distance were measured and vertical jump power was assessed via mechanography. LMS regression was used to create smoothed age-specific reference curves, separated by…
Descriptors: Psychomotor Skills, Preadolescents, Adolescents, Age Differences
Nolan, Ryan; Zbaracki, Matthew D. – Journal of Teaching in Physical Education, 2023
Purpose: The purpose of this study was to investigate the impact on health-related fitness resulting from COVID-19 lockdowns on male high school students in Melbourne, Australia. Method: A total of 146 students completed fitness testing in February and retesting in November following 7 months of remote learning. Fitness tests conducted were 20-m…
Descriptors: Foreign Countries, Physical Fitness, COVID-19, Pandemics
Akdogan, Aybike Sultan; Uzun, Ahmet – Education Quarterly Reviews, 2022
The aim of this study is to determine the physical fitness levels of individuals with autism by comparing them with individuals in the early and middle adolescence periods with normal development and the needs of the individuals with autism in terms of physical fitness. This study is carried out at the Selçuklu Autism Foundation, which is the…
Descriptors: Physical Fitness, Pervasive Developmental Disorders, Autism, Adolescents
Aleksandra Aleksic Veljkovic; Marija Stojanovic; Nenad Stojiljkovic – South African Journal of Education, 2024
With this study we aimed to investigate the impact of a 12-week manipulative skills exercise programme on the motor proficiency of young individuals with intellectual disabilities. A total of 32 learners diagnosed with mild intellectual disabilities, with an average age of 17.81 ± 1.44 years, were divided into 2 equal-sized groups: a control group…
Descriptors: Exercise, Program Effectiveness, Psychomotor Skills, Mild Intellectual Disability
True, Larissa; Martin, E. M.; Pfeiffer, K. A.; Siegel, S. R.; Branta, C. F.; Haubenstricker, J.; Seefeldt, V. – Measurement in Physical Education and Exercise Science, 2021
Childhood physical fitness relative to adult health outcomes coupled with scant longitudinal research indicates that tracking of fitness components throughout childhood/adolescence is imperative. The study examined the stability/tracking of 9 measures of fitness for boys and girls at 5 points throughout childhood/adolescence. Tracking coefficients…
Descriptors: Physical Fitness, Children, Adolescents, Age Differences
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
Baptista, Fátima; Zymbal, Vera; Janz, Kathleen F. – Measurement in Physical Education and Exercise Science, 2022
This study examined the predictive validity of musculoskeletal fitness tests for identifying sarcopenia in youth. The sample was 529 participants age 10 to 18 years. Indices included: total lean body mass (LBM) normalized for height (LBM index, LBMI, kg/m2), appendicular LBMI (aLBMI, kg/m[superscript 2]), and LBM to fat body mass (FBM) ratio…
Descriptors: Predictive Validity, Physical Fitness, Tests, Preadolescents
Seyhan, Sinan – Journal of Education and Learning, 2019
The purpose of this study was to examination the physical and anthropometric features of the traceurs with the gymnasts university education. The study was carried out with university students, male twelve volunteer participants (traceurs=6, gymnasts=6). The mean age of the traceurs was 18.67±1.03 years, 172.67±3.78 cm, body weight 62.5±8.94 kg…
Descriptors: Physical Fitness, Human Body, Athletics, Athletes
Effects of the Augmented Reality Game Pokémon GO on Fitness and Fatness in Secondary School Students
Martínez-López, Emilio J.; López-Serrano, Sebastián; De La Torre-Cruz, Manuel; Ruiz-Ariza, Alberto – Health Education Journal, 2022
Objective: The aim of this study was to analyse the effect of 8 weeks of Pokémon GO on physical fitness (cardiorespiratory fitness [CRF], Speed/Agility [S/A], and muscular strength [MS]) and fatness (body mass index [BMI], percentage of body fat [%BF], and waist-hip index), as well as possible differences between weekly physical activity (PA)…
Descriptors: Video Games, Computer Simulation, Geographic Information Systems, Exercise
MacEachern, Sarah; Forkert, Nils Daniel; Lemay, Jean-Francois; Dewey, Deborah – International Journal of Disability, Development and Education, 2022
Children and adolescents with disabilities benefit from physical activity. However, this population has lower fitness levels and higher rates of obesity than their peers, suggesting that they are not meeting physical activity guidelines and are experiencing barriers to participation. The purpose of this study was to quantify physical activity…
Descriptors: Children, Adolescents, Physical Disabilities, Intellectual Disability
Orr, Krystn; Wright, F. Virginia; Grassmann, Viviane; McPherson, Amy C.; Faulkner, Guy E.; Arbour-Nicitopoulos, Kelly P. – International Journal of Developmental Disabilities, 2021
Children and youth with impairments in social skills and/or cognition face many barriers to community participation specifically physical activity (PA) (e.g., limited staff training). Inclusive PA settings may provide opportunities for children and youth with and without impairments to engage together and promote physical and social skill…
Descriptors: Children, Adolescents, Interpersonal Competence, Barriers
Pfeiffer, Karin A.; True, Larissa; Martin, Eric; Siegel, Shannon R.; Branta, Crystal F.; Haubenstricker, John; Seefeldt, Vern – Measurement in Physical Education and Exercise Science, 2021
The Michigan State University Motor Performance Study (MPS) was initiated in 1967 and lasted 32 years. Three central components existed: 1) Educational component, in which students experienced applied work with youth; 2) Instructional component, whereby enrolled youth received sport-specific skill instruction; and 3) Research component. The…
Descriptors: Psychomotor Skills, Athletics, Physical Development, Maturity (Individuals)
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