Scheduled for Research Consortium Grant Findings, Thursday, April 14, 2005, 12:30 PM - 1:30 PM, Convention Center: E271b


Quantification of Physical Activity Time via Pedometry in Fifth- Through Eighth-Grade Physical Education

Philip W. Scruggs, University of Wisconsin–Madison, Madison, WI

With an increased prevalence of lifestyle related morbidities in youth (Kaufman, 2002; Ogden, Flegal, Carroll & Johnson, 2002), physical activity (PA) interventions have been suggested as a critical component of a coordinated effort to reverse trends in lifestyle related morbidities (CDC, 1997). Specifically, increasing school site PA is a key component of the coordinated effort (USDHHS/USDE, 2000). Objective, valid and practical assessment of PA is necessary for effective school site PA programs (Kohl, Fulton, & Caspersen, 2000). The goal of this research was to advance PA surveillance of activity guidelines in physical education. The aims of this study were to establish pedometer step per minute (SPM) and accelerometer count per minute (CPM) standards that accurately classify fifth- through eighth-grade physical education students as meeting the Council On Physical Education for Children (COPEC, 1998, 2004) and Healthy People 2010 (USDHHS, 2000) physical education activity guidelines (i.e., 33.33% and 50% of the class time physically active, respectively). It was hypothesized that SPM and CPM values would be significant and accurate predictors of students classified as achieving or not achieving activity guidelines. The 175 participants' (age: 12.71±1.17 yrs) PA data were collected in 35 classes (lesson time: 32.35±3.22 min) taught by 9 certified teachers at 6 schools. The System for Observing Fitness Instruction Time (SOFIT; McKenzie, Sallis, & Nader, 1991) PA rating scale was the criterion instrument, and predictor instruments were the Yamax SW-701 pedometer and Bio-Trainer Pro accelerometer. Statistical analysis consisted of Pearson r, receiver operating characteristic (ROC) curve and logistic regression techniques. Alpha was set at .01. SPM (n = 175, r = .91) and CPM (n = 97, r = .88) demonstrated a strong and significant association with SOFIT PA. SPM and CPM were excellent (area under curve >.90, p <.01) at discriminating between students who achieved and did not achieve PA guidelines. The optimal SPM cutscore interval for students meeting the 33.33% criteria was 60-61, and for the 50% criteria the optimal cutscore interval was 85-87 SPM. CPM values of 1.00-1.04 for the 33.33% criteria, and 1.45-1.50 for the 50% criteria were the optimal cutscore intervals. Findings suggest that pedometry SPM and accelerometry CPM accurately discriminate between students who achieve and do not achieve physical education activity guidelines. It is recommended that pedometry be implemented for surveillance of PA guidelines in physical education.
Keyword(s): physical activity, research

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