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Peer reviewed
Direct linkJustin Kompf; Ryan Rhodes – Measurement in Physical Education and Exercise Science, 2024
The measurement of resistance training (RT) is often based on adaptations of aerobic physical activity measures which may not contain the elements necessary to assess RT. The purpose of this systematic review was to examine what measures are used to assess RT and appraise their composition. Specifically, the inclusion of frequency, duration,…
Descriptors: Physical Fitness, Training, Muscular Strength, Evaluation Methods
Tim Bogg; Phuong T. Vo – Journal of American College Health, 2024
Objective: The efficacy of effort appraisal exercise action plans was tested among underactive and inactive university students (N = 221). Methods: Students were randomized across three conditions (information, action planning, or realistic effort action planning (REAP)) and participated in psychoeducational small-group sessions. Students returned…
Descriptors: College Students, Physical Activity Level, Physical Education, Intervention
Pellerine, Liam P.; Petterson, Jennifer L.; Shivgulam, Madeline E.; Johansson, Peter J.; Hettiarachchi, Pasan; Kimmerly, Derek S.; Frayne, Ryan J.; O'Brien, Myles W. – Measurement in Physical Education and Exercise Science, 2023
Device-based measures often rely on the positive relationship between walking cadence and metabolic equivalents of task (METs) to estimate physical activity. It is unknown whether this relationship remains during jogging/running. The study purpose was to investigate the relationships between METs, cadence, and step length during walking and…
Descriptors: Physical Activity Level, Predictor Variables, Physical Activities, Young Adults
Bianchim, Mayara S.; McNarry, Melitta A.; Evans, Rachel; Thia, Lena; Barker, Alan R.; Williams, Craig A.; Denford, Sarah; Mackintosh, Kelly A – Measurement in Physical Education and Exercise Science, 2023
Commonly used cut-points may misclassify physical activity (PA) in people with cystic fibrosis (CF). The aim of this study was to develop and cross-validate condition-specific cut-points in children and adolescents with CF. Thirty-five children and adolescents with CF (15 girls; 11.6 ± 2.8 years) and 28 controls (16 girls; 12.2 ± 2.7 years), had…
Descriptors: Genetic Disorders, Children, Early Adolescents, Physical Activity Level
Nicholas D. Myers; Ahnalee M. Brincks; Seungmin Lee – Measurement in Physical Education and Exercise Science, 2025
Physical activity (PA) promotion is an ideal intervention target for public health because it has the potential to help individuals feel better, sleep better, and perform daily tasks more easily, in addition to providing disease prevention benefits. There is strong evidence that individual-level theory-based behavioral interventions are effective…
Descriptors: Physical Activity Level, Intervention, Program Effectiveness, Adults
Schmidt, Michael D.; Rathbun, Stephen L.; Chu, Zhixuan; Boudreaux, Benjamin D.; Hahn, Lindsay; Novotny, Eric; Johnsen, Kyle; Ahn, Sun Joo – Measurement in Physical Education and Exercise Science, 2023
Physical activity (PA) estimates from the Fitbit Flex 2 were compared to those from the ActiGraph GT9X Link in 123 elementary school children. Steps and intensity-specific estimates of PA and 3-month PA change were calculated using two different ActiGraph cut-points (Evenson and Romanzini). Fitbit estimates were 35% higher for steps compared to…
Descriptors: Measurement Equipment, Physical Activity Level, Elementary School Students, After School Programs
Alder, M. L.; Johnson, C. R.; Zauszniewski, J. A.; Malow, B. A.; Burant, C. J.; Scahill, L. – Journal of Autism and Developmental Disorders, 2023
This research evaluated the feasibility of actigraphy to measure sleep and physical activity in children (ages 2-8 years) with autism spectrum disorder (ASD). We also explored associations between sleep and physical activity. Validated screening measures established eligibility. Questionnaires, diaries, and 5 days and 5 nights of actigraphy…
Descriptors: Sleep, Physical Activity Level, Young Children, Autism Spectrum Disorders
Pfeiffer, Karin A.; Lisee, Caroline; Westgate, Bradford S.; Kalfsbeek, Cheyenne; Kuenze, Christopher; Bell, David; Cadmus-Bertram, Lisa; Montoye, Alexander H.K. – Measurement in Physical Education and Exercise Science, 2023
A universal approach to characterizing sport-related physical activity (PA) types in sport settings does not yet exist. Young adults (n = 30), 19-33 years, engaged in a 15-min activity session, performing warm-ups, 3-on-3 soccer, and 3-on-3 basketball. Videos were recorded and manually coded as criterion PA types (walking, running, jumping, rapid…
Descriptors: Athletics, Physical Activity Level, Barriers, Measurement Equipment
Eliana Romina Meza-Miranda; Solange Liliana Parra-Soto; Samuel Durán-Agüero; Georgina Gomez; Valeria Carpio-Arias; Israel Ríos-Castillo; Ana Gabriela Murillo; Jacqueline Araneda; Gladys Morales; Brian M. Cavagnari; Edna J. Nava-González; Jhon J. Bejarano-Roncancio; Beatriz Núñez; Karla Cordón-Arrivillaga; Saby Mauricio-Alza; Leslie Landaeta-Díaz – Journal of American College Health, 2024
Introduction: Short sleep, physical inactivity, and being locked up are risk factors for weight gain. Objective: We evaluated weight gain according to sex, age, hours of sleep and physical activity in university students from 10 Latin American countries during the COVID-19 pandemic. Methods: Cross-sectional and multicenter study (n = 4880).…
Descriptors: Body Weight, Sleep, Physical Activity Level, College Students
Abbott, Heather; Taber, Christopher – Journal of Physical Education, Recreation & Dance, 2021
Through this article coaches will learn how to collect rating of perceived exertion (RPE), interpret RPE data, and use it to make informed decisions about training load. Therefore, the purpose of this article is to explore the implementations of RPE and explain practical outcomes relating to load management and ultimately training effectiveness.
Descriptors: Athletes, Physical Activity Level, Athletics, Physical Education
Kurth, Jordan D.; Klenosky, David B. – Measurement in Physical Education and Exercise Science, 2021
The International Physical Activity Questionnaire-Short Form (IPAQ-SF) is a globally-used self-report measure of physical activity (PA). Validity evidence exists; none has evaluated the IPAQ-SF with reduced recall time. This study evaluates absolute and relative agreement for PA at all intensities, and relative to recommended guideline…
Descriptors: Test Validity, Questionnaires, Measurement Techniques, Physical Activity Level
Edwardson, Charlotte L.; Maylor, Benjamin D.; Dawkins, Nathan P.; Plekhanova, Tatiana; Rowlands, Alex V. – Measurement in Physical Education and Exercise Science, 2022
The aim was to establish which postural and physical activity outcomes are comparable across different accelerometer brands worn on the thigh when processed using open-source methods. Twenty participants wore four accelerometers (Axivity, ActiGraph, activPAL, GENEActiv) for three free-living days. Postural and physical activity outputs (average…
Descriptors: Human Posture, Physical Activity Level, Measurement Equipment, Life Style
Hibbing, Paul R.; Bassett, David R.; Crouter, Scott E. – Research Quarterly for Exercise and Sport, 2020
Purpose: To assess changes in criterion validity when modifying cut-points for use in different epoch lengths. Method: Simulated free-living data came from 42 adolescents (2-hr each) and 29 adults (6-hr each) wearing a hip-worn accelerometer and portable indirect calorimeter (Cosmed K4b[superscript 2]). K4b[superscript 2] data were classified as…
Descriptors: Measurement Equipment, Simulation, Adolescents, Adults
Courtney, J. B.; Nuss, K.; Lyden, K.; Harrall, K. K.; Glueck, D. H.; Villalobos, A.; Hamman, R. F.; Hebert, J. R.; Hurley, T. G.; Leiferman, J.; Li, K.; Alaimo, K.; Litt, J. S. – Measurement in Physical Education and Exercise Science, 2021
The purpose of this study was to compare activPAL algorithm-estimated values for time in bed (TIB), wake time (WT) and bedtime (BT) against self-report and an algorithm developed by van der Berg and colleagues. Secondary analyses of baseline data from the Community Activity for Prevention Study (CAPs) were used in which adults [greater than or…
Descriptors: Computer Software, Measurement Techniques, Mathematics, Adults
Szpunar, Monika; Bruijns, Brianne; Tucker, Patricia – Health Education & Behavior, 2021
Early childhood educators' (ECEs) self-efficacy is often predictive of their ability and likelihood of promoting healthy activity behaviors in childcare settings. To date, ECEs' physical activity and sedentary behavior-related self-efficacy has been measured in a variety of ways in childcare-based research, creating difficulty when comparing…
Descriptors: Early Childhood Teachers, Self Efficacy, Physical Activity Level, Test Validity
