O8-1 24-Hour Movement Behavior and Fundamental Movement Skills in Pre-School Children: A Compositional Analysis

BACKGROUND: Studies that have analyzed the association between the different movement behaviors and fundamental movement skills (FMS), have considered it in an independent manner, disregarding the compositional nature of 24-hour movement behaviors (24h MB). The aim of this study was to investigate relationships between the 24h MB and FMS in low-income preschoolers. METHODS: Two hundred and four preschoolers of both sexes (4.5±0.8 years old; 101boys) provided objectively assessed physical activity (PA) and sedentary time (ST) data (Actigraph wGT3X), and FMS assessments (TGMD-2). Sleep duration (SD) was reported by parents through interview. Association of daily time composition of movement behaviors with FMS was explored using compositional data analysis (R Core Team, 3.6.1). RESULTS: Our data highlighted that no single movement behaviour significantly predicted locomotor, manipulative, or total motor competence. When data were considered as a 24h MB composition based on PA, ST and SD, adjusted for age, BMI and sex, the composition significantly predicted locomotor score (P > 0.0001; r2 = 0.31), manipulative score (P > 0.0001; r2 = 0.19) and total motor competence score (P > 0.0001; r2 = 0.35), respectively. CONCLUSION: Our study suggests that the 24h MB composition is more important for adequate FMS then any individual, movement behavior. This represents an important finding, particularly for creating and optimizing interventions to benefit child health

Transferability of genetic loci and polygenic scores for cardiometabolic traits in British Pakistani and Bangladeshi individuals.

Individuals with South Asian ancestry have a higher risk of heart disease than other groups but have been largely excluded from genetic research. Using data from 22,000 British Pakistani and Bangladeshi individuals with linked electronic health records from the Genes & Health cohort, we conducted genome-wide association studies of coronary artery disease and its key risk factors. Using power-adjusted transferability ratios, we found evidence for transferability for the majority of cardiometabolic loci powered to replicate. The performance of polygenic scores was high for lipids and blood pressure, but lower for BMI and coronary artery disease. Adding a polygenic score for coronary artery disease to clinical risk factors showed significant improvement in reclassification. In Mendelian randomisation using transferable loci as instruments, our findings were consistent with results in European-ancestry individuals. Taken together, trait-specific transferability of trait loci between populations is an important consideration with implications for risk prediction and causal inference