ERIC Number: EJ1184009
Record Type: Journal
Publication Date: 2018
Pages: 11
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1091-367X
EISSN: N/A
Estimation of Aerobic Fitness from PACER Performance with and without Body Mass Index
Mahar, Matthew T.; Welk, Gregory J.; Rowe, David A.
Measurement in Physical Education and Exercise Science, v22 n3 p239-249 2018
Purpose: To develop models to estimate aerobic fitness (VO[subscript 2]max) from PACER performance in 10- to 18-year-old youth, with and without body mass index (BMI) as a predictor. Method: Youth (N = 280) completed the PACER and a maximal treadmill test to assess VO[subscript 2]max. Validation and cross-validation groups were randomly formed to develop and examine accuracy of models. Participants were classified into FitnessGram® Healthy Fitness Zone categories based on measured and estimated VO[subscript 2]max and criterion-referenced validity was evaluated. Results: Multiple correlations between measured and estimated VO[subscript 2]max ranged from 0.70 to 0.73, with standard errors of estimate between 6.43 and 6.68 mL·kg[superscript -1]·min[superscript -1]. Accuracy with and without BMI was nearly identical. Overall, criterion-referenced validity evidence was moderate. Conclusion: Moderately accurate and feasible models were developed. Minimal improvement in accuracy was noted when BMI was added as a predictor. The model with PACER and age as predictors has a high level of utility for youth fitness testing.
Descriptors: Exercise, Physical Fitness, Preadolescents, Adolescents, Body Composition, Body Weight, Body Height, Predictor Variables, Models, Measurement, Classification, Correlation, Accuracy, Validity, Statistical Analysis
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A