7 research outputs found
Relação entre a dimensão do campo de jogo e os comportamentos táticos do jogador de futebol
O presente trabalho teve por objetivo verificar de que modo os comportamentos táticos dos jogadores de Futebol variam perante a alteração das dimensões do campo de jogo. Para tal, foram avaliadas 1476 ações táticas desempenhadas por 12 jogadores da categoria sub-15. O instrumento utilizado para a recolha e a análise dos dados foi o Teste "GR3-3GR", que permite avaliar as ações táticas desempenhadas por cada um dos jogadores participantes, com e sem bola, de acordo com 10 princípios táticos fundamentais do jogo de Futebol, tendo em conta a localização da ação no campo de jogo e o seu resultado final. A partir dessas informações o teste fornece 13 índices de performance tática do jogador. A análise estatística foi realizada com recurso ao SPSS for Windows, a partir da análise exploratória verificou-se a normalidade da distribuição, aplicando-se também o teste de Shapiro-Wilk, teste de qui-quadrado, teste de Mann-Whitney U (p The aim of this study was to examine how soccer players' tactical behavior changes according to pitch size. As such, 1,476 tactical actions performed by 12 under-15 soccer players were analyzed. The "GK3-3GK" test was used to collect and evaluate tactical actions. This test aimed to evaluate the actions performed by players (with and without the ball) regarding ten fundamental tactical principles of Soccer game. Additionally, the test considered the place of action and the respective outcome. Based on this information thirteen performance indexes were calculated. Statistical analysis of the data was conducted using SPSS for Windows version 17.0. Descriptive analysis, Shapiro-Wilk test, chi-square test, Mann-Whitney U test (p < 0.05) and reliability test were carried out. The results showed 26 significant differences between 76 variables analyzed. Of these, 21 variables registered higher values on the smaller pitch and five variables did so on the bigger pitch. We conclude that pitch size influenced the tactical behavior performed by soccer players, particularly when related with defensive organization of the team
GWAS Meta-Analysis of Suicide Attempt: Identification of 12 Genome-Wide Significant Loci and Implication of Genetic Risks for Specific Health Factors.
Suicidal behavior is heritable and is a major cause of death worldwide. Two large-scale genome-wide association studies (GWASs) recently discovered and cross-validated genome-wide significant (GWS) loci for suicide attempt (SA). The present study leveraged the genetic cohorts from both studies to conduct the largest GWAS meta-analysis of SA to date. Multi-ancestry and admixture-specific meta-analyses were conducted within groups of significant African, East Asian, and European ancestry admixtures.
This study comprised 22 cohorts, including 43,871 SA cases and 915,025 ancestry-matched controls. Analytical methods across multi-ancestry and individual ancestry admixtures included inverse variance-weighted fixed-effects meta-analyses, followed by gene, gene-set, tissue-set, and drug-target enrichment, as well as summary-data-based Mendelian randomization with brain expression quantitative trait loci data, phenome-wide genetic correlation, and genetic causal proportion analyses.
Multi-ancestry and European ancestry admixture GWAS meta-analyses identified 12 risk loci at p values <5×10 <sup>-8</sup> . These loci were mostly intergenic and implicated DRD2, SLC6A9, FURIN, NLGN1, SOX5, PDE4B, and CACNG2. The multi-ancestry SNP-based heritability estimate of SA was 5.7% on the liability scale (SE=0.003, p=5.7×10 <sup>-80</sup> ). Significant brain tissue gene expression and drug set enrichment were observed. There was shared genetic variation of SA with attention deficit hyperactivity disorder, smoking, and risk tolerance after conditioning SA on both major depressive disorder and posttraumatic stress disorder. Genetic causal proportion analyses implicated shared genetic risk for specific health factors.
This multi-ancestry analysis of suicide attempt identified several loci contributing to risk and establishes significant shared genetic covariation with clinical phenotypes. These findings provide insight into genetic factors associated with suicide attempt across ancestry admixture populations, in veteran and civilian populations, and in attempt versus death