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Gast, David A. A.; de Wit, Gabriela L. C.; van Hoof, Amber; de Vries, Jeanne H. M.; van Hemert, Bert; Didden, Robert; Giltay, Erik J. – Journal of Applied Research in Intellectual Disabilities, 2022
Background: We sought to assess diet quality among people with intellectual disabilities or borderline intellectual functioning, living in residential facilities or receiving day care. Methods: We measured diet quality using the Dutch Healthy Diet Food Frequency Questionnaire (DHD) and compared this between participants with (n = 151) and controls…
Descriptors: Mild Intellectual Disability, Dietetics, Day Programs, Residential Programs
Ergin, Ridvan; Marangoz, Irfan – Education Quarterly Reviews, 2022
Aim: This research aimed to analyze the vocational adjustment of paramedic students in health sciences in terms of some anthropometric and motoric features. Material and Method: The research is a cross-sectional study, which is one of the quantitative research methods aimed at paramedic students. The study group consisted of 60 (n[subscript…
Descriptors: Allied Health Personnel, Allied Health Occupations Education, First Aid, Student Characteristics
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
Dustin Moore; Jesse Stabile Morrell – Journal of American College Health, 2024
Objective: To assess differences in dietary quality among college men reporting high, moderate, and non-video game usage. Participants: College men aged 18-24. Methods: Cross-sectional data were collected between 2012 and 2020. Participants (n = 1259) were categorized according to self-reported video game usage: non-users (NVG), <1 h/day (MVG),…
Descriptors: Video Games, Gender Differences, Males, Eating Habits
Koca, Feyzullah – Online Submission, 2019
The aim in this study, will comparison anthropometric characteristics and motor performance tests to be between according to the ages of boys and girls ski athletes. A total of 41 Girls and 47 Boys ski athletes participated in this study voluntarily. One Wey ANOVA and LSD tests were used. In this study, there were differences in height and body…
Descriptors: Psychomotor Skills, Gender Differences, Athletes, Athletics
Gerrard-Longworth, Simon; Preece, Stephen J.; Clarke-Cornwell, Alexandra M.; Goulermas, Yannis – Measurement in Physical Education and Exercise Science, 2020
Previous activity classification studies have typically been performed on normal weight individuals. Therefore, it is unclear whether a generic classification algorithm could be developed that would perform consistently across individuals who fall within different BMI categories. Acceleration data were collected from the hip and ankle joints of 50…
Descriptors: Classification, Body Weight, Body Height, Body Composition
Enomoto, Ayaka; Saito, Aki; Takahashi, Osamu; Kimura, Takeshi; Tajima, Ryoko; Rahman, Mahbubur; Iida, Kaoruko – Health Education & Behavior, 2020
Background: Both underweight and overweight are public health concerns in Japan. Several studies examined the association between health literacy (HL) and obesity status in the general population; however, there is limited information on young adults. In addition, the association between HL and underweight status has not been extensively…
Descriptors: Foreign Countries, Body Weight, Public Health, Knowledge Level
Morina, Besnik; Miftari, Florian; Badau, Dana – Education Sciences, 2021
Geographical, cultural, and socio-economic factors create a different lifestyle. Accordingly, the aim of this research was to identify the differences in anthropometric and fitness characteristics among adolescents living in Montenegro and Kosovo in order to optimize the physical fitness as a consequence of the proactive behavior. Anthropometric…
Descriptors: Foreign Countries, Cultural Differences, Life Style, Physical Fitness
Blackshear, Tara B.; Seyfried, Lindsey – Journal of American College Health, 2021
Objective: The purpose of the study was to investigate physical activity patterns and body mass index (BMI) among black and white women in college to determine if attending college acts as a catalyst for sustaining physical activity and for closing the black-white physical activity and obesity gaps. Participants/Methods: 111 undergraduate women…
Descriptors: Physical Activity Level, Obesity, Undergraduate Students, Females
Atli, Ahmet – Journal of Educational Issues, 2021
This study, which included 50 young amateur male footballers aged between 16 and 18, aims to compare certain physical and performance parameters of young football players based on positions. Based on their positions, the footballers were divided into two groups as "central" and "wing" positioned players. The body composition,…
Descriptors: Males, Adolescents, Athletes, Team Sports
DeHondt, Benjamin G.; Madi, Samar A.; Drignei, Dorin; Buchan, Duncan S.; Brown, Elise C. – Measurement in Physical Education and Exercise Science, 2023
Identification of cardiometabolic risk (CMR) in U.S. younger population by assessing muscular strength via handgrip (HG) dynamometry may aid in prevention efforts. Currently, no nationally representative HG cut-points are available for identifying increased CMR in U.S. adolescents or young adults. In this study, we propose normalized grip strength…
Descriptors: Muscular Strength, Adolescents, Young Adults, Screening Tests
Ince, Izzet – Physical Educator, 2020
This study compared the training effects of split-style Olympic lifts (SP-L) with those of squat-style olympic lifts (SQ-L). In the study, the participants (n = 33 collegiate female volleyball players) were sorted on a random basis into the SP-L group (age = 15.80 ± 1.03 years; height = 164.50 ± 3.96 cm; body weight = 60.88 ± 8.26 kg), SQ-L group…
Descriptors: Athletics, Training, Athletes, Team Sports
Wyszynska, Justyna; Podgórska-Bednarz, Justyna; Deren, Katarzyna; Baran, Joanna; Czenczek-Lewandowska, Ewelina; Leszczak, Justyna; Mazur, Artur – Journal of Applied Research in Intellectual Disabilities, 2020
Background: Adiposity is closely related to hypertension (HTN) in paediatric population. However, which adiposity indicator is most associated with HTN among children and adolescents with intellectual disability remains unknown. The aim of this study was to evaluate the associations between HTN prevalence and different adiposity indicators: body…
Descriptors: Children, Adolescents, Intellectual Disability, Hypertension
Mason, Jalyn; Morris, Christopher; Long, Douglas E.; Sanden, Madison N.; Flack, Kyle – Measurement in Physical Education and Exercise Science, 2020
Accurate body composition assessment, which includes fat mass (adipose tissue mass, FM), fat-free mass (FFM), and percent fat mass (%FM) is needed to evaluate health and treatment efficacy. The current study compared body composition estimates obtained from the Norland Elite® DXA, BodPod®, and iDXA® before and after a 12-week exercise intervention…
Descriptors: Body Composition, Body Weight, Body Height, Exercise
Latour, Austin W.; Peterson, David D.; Riner, Daniel D. – International Journal of Kinesiology in Higher Education, 2019
As a result of a Department of Defense (DoD) mandate, the U.S. Navy implemented its current body composition assessment (BCA) program in 1982. Despite the feasibility of the current program, its reliability, validity, and applicability have long since been called into question. As a result of these concerns, the Naval Health Research Center (NHRC)…
Descriptors: Body Composition, Military Personnel, Body Weight, Body Height