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Introduction This study examined the impact of a multicomponent physical activity (PA) intervention (MOVI-KIDS) on improving cognition in schoolchildren. This paper also analyzed the mediator role of motor fitness between MOVI-KIDS and cognition. Methods Propensity score analysis of data from a cluster randomized controlled trial (MOVI-KIDS study). This analysis including 240 5-7 years old children from nine schools in the provinces of Cuenca and Ciudad Real, Spain. MOVI-KIDS program consisted of: (a) three weekly after-school sessions of recreational non-competitive PA lasting 60 minutes during one academic year, (b) educational materials for parents and teachers, and (c) school playground modifications. Changes in cognition (logical reasoning, verbal factor, numerical factor, spatial factor, and general intelligence) were measured. A propensity score cross-cluster matching procedure and mediation analysis (Hayes's PROCESS macro) were conducted. Results All cognitive variables pre-post mean changes were significantly higher (P ≤ 0.05) in children from intervention schools than those from control schools (effect size ranged from 0.33 to 1.48). The effect of the intervention on the spatial factor and general intelligence was partially mediated by motor fitness (indirect effect = 0.92, 95% CI: 0.36; 1.65; and indirect effect = 1.21, 95% CI: 0.06; 2.62, respectively). Conclusions This study shows that a one-school-year multicomponent intervention consisting of a recreational non-competitive PA program, educational materials for parents and teachers, and school playground modifications improved the cognition of first-grade children. Further, our results suggest that the effect of the intervention on cognition was mediated by changes in motor fitness.

The aim of this study was to analyze the mediation role of cardiorespiratory fitness and waist circumference in the association between muscular strength and cardiometabolic risk. A cross-sectional study involved first-year college students (n = 370) from a Spanish public university was performed. We measured weight, height, waist circumference, blood pressure, biochemical variables, maximum handgrip strength assessment, and cardiorespiratory fitness. We calculated handgrip dynamometry/weight and a previously validated cardiometabolic risk index. Analysis of covariance models was conducted to test differences in cardiometabolic risk values across muscular strength, cardiorespiratory fitness, and waist circumference categories, controlling for confounders. Hayes' PROCESS macro was used for the multiple mediation analysis. The relationship between muscular strength and cardiometabolic risk did not remain significant (c' = 1.76 [1.4]; P > .05) in a multiple serial bootstrapped mediation model including cardiorespiratory fitness and waist circumference as mediators when controlling for age and sex. According to the indirect effect, the significant paths in the model mediating this relationship between muscular strength and cardiometabolic risk index were as follows: muscular strength → waist circumference → cardiometabolic risk index (-4.899; 95% CI: -6.690; -3.450) and muscular strength → cardiorespiratory fitness → waist circumference → cardiometabolic risk index (-0.720; 95% CI: -1.316; -0.360). Both cardiorespiratory fitness and waist circumference mediate the association between muscular strength and cardiometabolic risk in young adults. Thus, our results place cardiorespiratory fitness and waist circumference as the main targets of physical activity programmes aimed at preventing cardiometabolic diseases.