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Peter Elsborg; Paulina S. Melby; Mette Kurtzhals; Helene Kirkegaard; Johannes Carl; Steffen Rask; Peter Bentsen; Glen Nielsen – Measurement in Physical Education and Exercise Science, 2024
This study aimed to develop and test MyPL, a questionnaire that measures self-reported physical literacy (PL) among children and adolescents. First, the item pool was developed and adapted, and face validity was tested with cognitive interviewing. Then, factor structures were identified through multidimensional scaling and exploratory factor…
Descriptors: Questionnaires, Children, Early Adolescents, Models
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Gabriel Felipe Arantes Bertochi; Jeffer Eidi Sasaki – Measurement in Physical Education and Exercise Science, 2025
This study compared the weekly training load (TL) variation across different measures. Fifty-two runners reported their heart rate and distance ran for each training session during four weeks of training. Heart rate measures were used to calculate the weekly TRaining IMPulse (W-TRIMP), whereas the distance ran was used to calculate the weekly…
Descriptors: Physical Education, Physical Activities, Athletics, Athletes
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Molly C. Henneberry; Dana Agar-Newman; Seth Lenetsky; Marc D. Klimstra – Measurement in Physical Education and Exercise Science, 2025
Upper body force-velocity profiles to assess musculoskeletal performance are created using release speed (RS) of the barbell in a bench press throw (BPT). A more easily obtained variable is peak speed (PS) measured by a linear position transducer. We assessed the validity of predicting RS from measured PS. One hundred and seventy-eight throws from…
Descriptors: Athletics, Human Body, Muscular Strength, Biomechanics
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Sunku Kwon; Yang Bai; Youngwon Kim; Ryan D. Burns; Timothy A. Brusseau; Wonwoo Byun – Measurement in Physical Education and Exercise Science, 2025
This study aimed to assess the agreement in physical activity (PA) estimates from Garmin Vivofit Jr. 3 (VFJ 3) and Fitbit Ace 3 (Ace 3) with a research-grade accelerometer (wGT3X-BT) in children under free-living conditions. Twenty-five children (Girls: 56%, Age: 10.1 ± 2.5 years, BMI: 17.1 ± 2.4 kg/m2) performed daily activities for 7 consecutive…
Descriptors: Physical Activity Level, Children, Validity, Handheld Devices
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Juliano Dal Pupo; Rafael Lima Kons; Rodrigo Ghedini Gheller; Carlos W. P. Gonçalves; Amilton Vieira – Measurement in Physical Education and Exercise Science, 2025
This study aimed to analyze the intrasession reliability of the rate of force development (RFD) in different time windows in squat jumps (SJ) performed at different knee starting angles, and identify the relationship of RFD with vertical jump height (VJH). Twenty male volleyball and basketball players participated. Athletes randomly performed SJ…
Descriptors: Physical Education, Athletics, Physical Activities, Males
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Justin 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
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Mayara S. Bianchim; Melitta A. McNarry; Alan R. Barker; Craig A. Williams; Sarah Denford; Lena Thia; Rachel Evans; Kelly A. Mackintosh – Measurement in Physical Education and Exercise Science, 2024
This study aimed to develop and validate machine learning models to predict intensities in children and adolescents with cystic fibrosis (CF) across different accelerometry brands and placements. Thirty-five children and adolescents with CF (11.6 ± 2.8 yrs; 15 girls) and 28 healthy youth (12.2 ± 2.7 yrs; 16 girls) performed six activities whilst…
Descriptors: Models, Prediction, Children, Adolescents
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Daniel González-Devesa; José Carlos Diz-Gómez; Miguel Adriano Sanchez-Lastra; Aroa Otero Rodríguez; Carlos Ayán-Pérez – Measurement in Physical Education and Exercise Science, 2025
The aim of this study is to examine the available scientific evidence on the reliability and criterion validity of 6-minute run walk field-based test when administered to children and adolescents. Systematic searches were performed in three electronic databases (MEDLINE/PubMed, SPORTDiscuss and Scopus) from their inception until February 2024,…
Descriptors: Child Health, Health Related Fitness, Literature Reviews, Meta Analysis
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Matthew T. Mahar; Hoyong Sung – Measurement in Physical Education and Exercise Science, 2025
Field-based tests of aerobic fitness that can be administered quickly and do not require maximal effort are desirable. The purpose was to develop and validate quarter-mile walk tests for 10--13-year-olds. Participants (N = 59) walked one mile on two different days. Walk times, heart rates, body mass, physical activity, and aerobic fitness were…
Descriptors: Physical Fitness, Test Construction, Exercise, Early Adolescents
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Denver M. Y. Brown; Alan Meca – Measurement in Physical Education and Exercise Science, 2025
This study investigated whether exercise and physical activity identity are conceptually distinct factors. Undergraduate students (N = 647; M[subscript age] = 19.54 ± 1.86 years; 61% female) completed an online survey including the Exercise Identity Scale and a modified physical activity version. Confirmatory factor analysis largely supported a…
Descriptors: Psychometrics, Exercise, Self Concept, Measures (Individuals)
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André G. Bateman; Nicholas D. Myers; Deborah Feltz; Karin A. Pfeiffer; Kimberly Kelly; Alan L. Smith; Seungmin Lee; Adam McMahon; Isaac Prilleltensky; Ora Prilleltensky; Ahnalee M. Brincks – Measurement in Physical Education and Exercise Science, 2024
The purpose of this study was to explore the validity of evidence for self-efficacy to regulate physical activity scale (SERPA) measurement using an exploratory latent variable approach. The objectives were to explore the dimensionality, temporal invariance, and external validity of scores produced by the SERPA, a modified version of the barriers…
Descriptors: Adults, Obesity, Physical Activity Level, Self Management
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Nicholas D. Myers; Ahnalee M. Brincks; Seungmin Lee – Measurement in Physical Education and Exercise Science, 2024
Physical activity promotion is a best buy 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 for increasing physical…
Descriptors: Physical Activity Level, Health Behavior, Health Promotion, Public Health
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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
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John D. Holohan; Jacob P. DeBlois; Tom D. Brutsaert – Measurement in Physical Education and Exercise Science, 2024
Anaerobic capacity is an important determinant of swimming performance, and a feasible land-based test for measuring swim-specific anaerobic capacity is lacking. This study assessed the test-retest reliability of a swim-specific modification of the Wingate anaerobic capacity test: the WAnT-Swim. Ten competitive and fitness swimmers from the local…
Descriptors: Aquatic Sports, Test Reliability, College Athletics, Student Athletes
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In-Whi Hwang; Soo-Ji Hwang; Jun-Hao Shen; Jisu Kim; Jung-Min Lee – Measurement in Physical Education and Exercise Science, 2025
This study examined the impact of Catch-Up Sleep Ratio (CSR) on health outcomes in Korean adults. Adjusted for age and gender, 2,484 participants were categorized into three groups: Weekday (CSR <1.0), Average (1.0 = CSR < 1.5), and Weekend (1.5 = CSR). Weekday participants were less likely to meet WHO's moderate physical activity guidelines…
Descriptors: Foreign Countries, Sleep, Adults, Age Differences
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