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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
Martin, Eric M.; True, Larissa; Pfeiffer, Karin A.; Siegel, Shannon R.; Branta, Crystal F.; Wisner, Dave; Haubenstricker, John; Seefeldt, Vern – Measurement in Physical Education and Exercise Science, 2021
Research tracking sport participation from youth to adulthood is relatively rare, as is research that tracks youth sport participation with regard to adult physical activity (PA) levels, especially in the United States. Aims of this study were: 1) To investigate the degree to which sport participation tracked across youth, adolescence, and early…
Descriptors: Athletics, Participation, Children, Adolescents
Crotti, Matteo; Rudd, James; Weaver, Glenn; Roberts, Simon; O'Callaghan, Laura; Fitton Davies, Katie; Foweather, Lawrence – Measurement in Physical Education and Exercise Science, 2021
To validate the modified System for Observing Fitness Instruction Time to measure teacher practices related to physical activity promotion (SOFIT+) in physical education (PE) amongst 5-6-year-old-children. Participants (n = 162, 53% female, 6.0 ± 0.3 yrs) were recruited from 9 schools. Video-recordings of 45 PE lessons from 9 teachers/coaches were…
Descriptors: Test Validity, Classroom Observation Techniques, Physical Education, Physical Activity Level
Clevenger, Kimberly Ann; Sinha, Gaurav; Howe, Cheryl A. – Measurement in Physical Education and Exercise Science, 2019
Several geospatial approaches have been used to characterize physical activity during recess using global positioning system (GPS) data. GPS and accelerometer data from 23 children collected during recess were analyzed using four previously used approaches: (1) dot map, (2) fishnet grid, (3) hot spot analysis, which determines clusters of high/low…
Descriptors: Elementary School Students, Physical Activity Level, Physical Activities, Geographic Information Systems
Leung, Ka Man; Chung, Pak-Kwong; Ransdell, Lynda B.; Gao, Yong – Measurement in Physical Education and Exercise Science, 2016
We examined psychometric properties of a Modified Physical Activity Questionnaire for Children (MPAQ-C). Thirty-two parents (Study 1), 40 students (6-9 years) and one of each student's parents (Study 2), and 625 parents (Study 3) completed the MPAQ-C. The MPAQ-C (six items) measured children's physical activity (PA) after school, and during…
Descriptors: Psychometrics, Factor Analysis, Questionnaires, Physical Activity Level
Gråstén, Arto; Watt, Anthony – Measurement in Physical Education and Exercise Science, 2016
The current article provides an important insight into measurement differences between two commonly used self-reports and accelerometer-determined moderate to vigorous physical activity (MVPA) scores within matched samples across 1 school year. Participants were 998 fifth- through eighth-grade students who completed self-reports and 76 fifth- and…
Descriptors: Comparative Analysis, Physical Activities, Physical Activity Level, Questionnaires
Weaver, R. Glenn; Webster, Collin A.; Erwin, Heather; Beighle, Aaron; Beets, Michael W.; Choukroun, Hadrien; Kaysing, Nicole – Measurement in Physical Education and Exercise Science, 2016
The System for Observing Fitness Instruction Time (SOFIT) is commonly used to measure variables related to physical activity during physical education (PE). However, SOFIT does not yield detailed information about teacher practices related to children's moderate-to-vigorous physical activity (MVPA). This study describes the modification of SOFIT…
Descriptors: Physical Education, Observation, Physical Activity Level, Teaching Methods
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
Belton, Sarahjane; Mac Donncha, Ciaran – Measurement in Physical Education and Exercise Science, 2010
The purpose of this study was to assess the test-retest reliability and validity of a new Youth Physical Activity Self-Report measure. Heart rate and direct observation were employed as criterion measures with a sample of 79 children (aged 7-9 years). Spearman's rho correlation between self reported activity intensity and heart rate was 0.87 for…
Descriptors: Metabolism, Physical Activities, Observation, Test Validity
Arbour-Nicitopoulos, Kelly P.; Faulkner, Guy E.; Leatherdale, Scott T. – Measurement in Physical Education and Exercise Science, 2010
The objective of this study was to examine the pattern of relations between missing weight and height (BMI) data and a range of demographic, physical activity, sedentary behavior, and academic measures in a young sample of elementary school children. A secondary analysis of a large cross-sectional study, PLAY-On, was conducted using self-reported…
Descriptors: Elementary School Students, Ethnicity, Body Composition, Physical Activities
Scruggs, Philip W.; Beveridge, Sandy K.; Clocksin, Brian D. – Measurement in Physical Education and Exercise Science, 2005
The relation and agreement of tri-axial accelerometry and heart rate telemetry in measuring moderate to vigorous physical activity were examined in association to behavioral observation during 1st- and 2nd-grade physical education. In Study 1, physical activity measures of heart rate and behavioral observation were collected on 346 participants…
Descriptors: Metabolism, Physical Education, Physical Activities, Observation