Physical education and school contextual factors relating to students' achievement and cross-grade differences in aerobic fitness and obesity

Using two major data sets from the Texas Youth Fitness Study, ordinary least squares regression, and hierarchical linear modeling, the authors examined the impact of key correlates in school physical education programs and policies on students' fitness status and cross-grade differences. While...

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Bibliographic Details
Published in:Research quarterly for exercise and sport 2010-09, Vol.81 (Suppl. 2), p.53-64
Main Authors: Zhu, Weimo, Boiarskaia, Elena A, Welk, Gregory J, Meredith, Marilu D
Format: Article
Language:English
Subjects:
Achievement
Adipositas
Adolescent
Body Mass Index
Child
criterion-related difference
Data Analysis
Data Collection
Datenanalyse
Evaluation Methods
Exercise Test
Female
Geschlechtsunterschied
Humans
Körper (Biol)
Least Squares Statistics
Least-Squares Analysis
Lehrer
Leistungsfähigkeit
Linear Models
Male
Masse (Phys)
Obesity
Organizational Policy
Physical Activities
Physical Education
Physical Education and Training - organization & administration
Physical Education and Training - statistics & numerical data
Physical Fitness
school effects
school physical education program and policy
Schools - organization & administration
Schools - statistics & numerical data
Schulpause
Schulstufe
Sex Factors
Socioeconomic Status
Soziale Schicht
Sportpädagogik
Sportstätte
Sportunterricht
Texas
Training
USA
youth fitness
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Summary:Using two major data sets from the Texas Youth Fitness Study, ordinary least squares regression, and hierarchical linear modeling, the authors examined the impact of key correlates in school physical education programs and policies on students' fitness status and cross-grade differences. While a number of factors, such as teachers' training/updates, recess time, available physical activity space, a school wellness policy, and fitness testing before administration, were confirmed, these correlates can explain only limited variance. Other aspects, such as socioeconomic status and community confounding factors, were recognized and illustrated. Future studies should include more factors such as these in data collection and analysis. Verf.-Referat.
ISSN:0270-1367
2168-3824
DOI:10.1080/02701367.2010.10599694