ObjectiveTo determine to what extent physical fitness indicators and/or moderate to vigorous physical activity may account for final mathematics academic performance awarded at the end of primary school.MethodsSchool-aged youth were sampled in a repeated-measures, longitudinal design in Grade 6, and again in Grade 9. The youth completed a fitness test battery consisting of: flamingo balance test, standing long jump, backward obstacle course, plate tapping, sit ups, sit and reach, handgrip, and 20-m shuttle run. APmath scores were obtained for all children (...) at the end of Grade 5, end of Grade 8, and end of Grade 9. In a sub-sample of Grade 6 youth, MVPA was measured objectively via SenseWear Pro Armbands for seven consecutive days, with measurements repeated in Grade 9.ResultsMath scores decreased from Grade 6 to 9 for both boys and girls. MVPAOB was reduced by ∼45.7 min from Grade 6 to 9. Significant main and interaction effects are noted for each fitness indicator. A backward stepwise multiple regression analysis determined significant shared variance in final APmath grade to the change scores from Grade 6 to Grade 9 in: ΔAPmath, Δbackward obstacle course, Δsit and reach, and Δsit-ups [R2 = 0.494, F = 43.67, p < 0.0001]. A second regression was performed only for the youth who completed MVPAOB measurements. In this sub-sample, MVPAOB did not significantly contribute to the model.ConclusionLongitudinal changes in youth fitness and their delta change in APmath score accounted for 49.4% of the variance in the final math grade awarded at the end of Grade 9. Aerobic power, upper body strength, and muscular endurance share more common variance to final math grade in boys, whereas whole-body coordination was the more relevant index in girls; this finding suggests that future research exploring the relationship of AP and PF should not be limited to cardiorespiratory fitness, instead encompassing muscular and neuro-muscular components of PF. (shrink)

Studies of the familial association of physical activity and sedentary behavior have increased in recent years. However, there is a lack of studies that have objectively examined the correlates between parents, grandparents, and childrens' PA. Therefore, the purpose of this study was to measure PA using accelerometers to determine the extent to which PA and SB correlate among parents, grandparents, and children. A sample of 169 children between 11 and 14 years, 225 parents, and 52 grandparents were recruited for the (...) current study. Accelerometers RM42 were used to determine PA levels of children, parents, and grandparents. Epoch length was 6 s. Mothers' moderate-to-vigorous PA was associated with children's MVPA of children's MVPA. In contrast, grandfathers' sedentary behavior was a significant predictor of children's sedentary behavior. The results of the current study suggest that parental involvement in PA, particularly by mothers, is important for children's PA and, accordingly, healthy outcomes. (shrink)