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Background: The Walking Classroom is an education program that provides students with an opportunity to accumulate physical activity without losing instructional time. Method: This research tests Kuczala’s application of kinesthetic learning theory through measuring knowledge retention, postactivity information processing, and mood in students who engage in a short bout of physical activity while listening to Walking Classroom podcasts about language arts, science, and history, and those who remain seated during a podcast, compared with baseline levels. Students from 9 high-poverty fourth- and fifth-grade classrooms (n = 319) in a North Carolina county comprised the sample. Results: Utilizing multivariate analysis of covariance, the results demonstrate significantly higher levels of learning while walking compared with learning while sitting. Measures of mood utilizing the 10-item version of the Positive and Negative Affect Scale also demonstrated a significant effect in predicted directions. Conclusion: The results support that coupling physical activity with instruction leads to increased performance and mood for elementary school students.

Background: Direct observation protocols may introduce variability in physical activity estimates. Methods: Thirty-five physical education lessons were video recorded and coded using the System for Observing Fitness Instruction Time (SOFIT). A multistep process examined variability in moderate to vigorous physical activity (MVPA%; walking + vigorous/total scans). Initially, per-SOFIT protocol MVPA% (MVPA%SOFIT) estimates were produced for each lesson. Second, true MVPA% (mean MVPA% of all students using all observations, MVPA%true) estimates were calculated. Third, MVPA% (MVPA%perm) was calculated based on all permutations of students and observation order. Fourth, physical education lessons were divided into 2 groups with 5 lessons from each group randomly selected 10,000 times. Group MVPA%perm differences between the 10 selected lessons were compared with the MVPA%true difference between group 1 and group 2. Results: Across all lessons, 10,212,600 permutations were possible (average 291,789 combinations per lesson; range = 73,440–570,024). Across lessons, the average absolute difference between MVPA%true and MVPA%SOFIT estimates was ±4.8% (range = 0.1%–17.5%). Permutations, based on students selected and observation order, indicated that the mean range of MVPA%perm estimates was 41.6% within a lesson (range = 29.8%–55.9%). Differences in MVPA% estimates between the randomly selected groups of lessons varied by 32.0%. Conclusion: MVPA% estimates from focal child observation should be interpreted with caution.

The relationship between physical fitness and academic achievement has received much attention owing to the increasing prevalence of children who are overweight and unfit, as well as the inescapable pressure on schools to produce students who meet academic standards. This study examined 259 public school students in third and fifth grades and found that field tests of physical fitness were positively related to academic achievement. Specifically, aerobic capacity was positively associated with achievement, whereas BMI was inversely related. Associations were demonstrated in total academic achievement, mathematics achievement, and reading achievement, thus suggesting that aspects of physical fitness may be globally related to academic performance in preadolescents. The findings are discussed with regards to maximizing school performance and the implications for educational policies.

Background: Principals are key to the promotion of physical activity (PA) in schools. The purpose of this study was to understand how school principals’ PA values, behaviors, and individual and school characteristics were associated with the presence of an active school. Methods: A representative sample of 1019 school principals in the United States was surveyed. Survey items addressed principals’ values and behaviors associated with PA, individual and school demographic factors, such as years of experience and school level, and a single item asking whether principals perceived their school to be an active school (ie, provides students with opportunities to be physically active before, during, and after the school day). Significant variables from a cross-tabulation and chi-square analysis were added to a hierarchical logistic regression model to assess the predictive properties of principal values and behaviors as they relate to the presence of an active school. Results: Approximately half of principals (47%) reported having an active school. The model significantly predicted the presence of an active school but accounted for only 6.6% of the total variance. Although values toward PA and more frequent personal PA behaviors were associated with the presence of an active school within the cross-tabulation and chi-square analysis, neither variable emerged as a significant predictor in the regression model. Conclusions: Principals’ personal PA values and behaviors contribute to the presence of an active school, but other variables, including years of experience and school contextual factors, are more powerful predictors.