Barely Significant

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highly significantP < .0010.0× alphaqualifiedgold
For the DAOM genotype, ANOVA tests revealed highly significant between-cluster differences across all node-level metrics (degree: F = 1107, P < .001; average path length: F = 6734, P < .0001; clustering coefficient: F = 482.4, P < .001; betweenness centrality: F = 8.2, P < .001.For the C2 genotype, cluster membership significantly affected degree ( F = 719.2, P < .001), average path length ( F = 1291, P < .001), and clustering coefficient ( F = 436.2, P < .001), but not betweenness centrality ( F = 2, P = .089).
moderately significantp=0<0.0010.0× alphaqualifiedgold
Results A moderately significant negative relationship was found between the AAQ sub-dimension of psychosocial loss score and RSES sub-dimension self-esteem (r=-0.340, p=0<0.001), continuity of self-concept (r=-0.258, p<0.001), depressive affect (r=-0.423, p<0.001), and psychosomatic symptoms (r=-0.311, p<0.001).
highly significantp<0.0010.0× alphaqualifiedgold
Pearson correlations between the AfyaMedQoL Index global score and WHOQOL-Bref domains were strong (|r|≥0.55) and highly significant (p<0.001), meeting the apriori criterion of r ≥0.50 for strong convergence. 62 The highest concordance occurred with the Psychological domain (r=0.65) and the lowest with Social Relationships (r=0.55).
highly significantP <.0010.0× alphaqualifiedgold
To examine the children in the proximity of cutoff thresholds, we also used the 80th percentile cutoff point (ie, abnormal or border range), which showed that 36 (97%) children were above the cutoff point at baseline, while the respective figure at the 24-month follow-up was 23 (62%), indicating a highly significant change ( P <.001, McNemar test).
highly significantp < 0.0010.0× alphaqualifiedgold
Analysis of Variance The combined analysis of variance revealed that the main effects of environments (E), genotypes (G), and GEI were highly significant ( p < 0.001) for agronomic and phenology traits across the test environments (Table 4 ).
highly significantp < 0.0010.0× alphaqualifiedgold
After introducing mean-centered MT as a covariate, the main effect of Running Speed remained highly significant in both the anaerobic (F = 57.52, p < 0.001, η 2 p = 0.673) and aerobic (F = 46.01, p < 0.001, η 2 p = 0.622) models, with no significant univariate interaction effects involving MT or sex on the rate of decline.