Search Results - Significance

Gál-Pottyondy, A., Tóth, K., Mészáros, Á., Farkasinszky, G., Trzaskoma, L., Kiss, R. M. “…We hypothesized that there are significant differences in game-related load variables between different age and gender groups. …”

Zhang, S., Li, M., Qin, S., Xing, W., Zhai, Z., Wang, X. “…In contrast, frontcourt players showed increased IMA Accel in the third (p < 0.01, ES = -0.65) and fourth quarters (p < 0.05, ES = -0.90) compared to backcourt players. Additionally, significant correlations were found between RPE and PL (Q1: r = 0.51, p < 0.001; Q2: r = 0.46, p < 0.001; Q3: r = 0.57, p < 0.001; Q4: r = 0.61, p < 0.01) and explosive efforts (Q1: r = 0.61, p < 0.01; Q2: r = 0.46, p < 0.001; Q3: r = 0.44, p < 0.001; Q4: r = 0.45, p < 0.01) across all quarters, underscoring the connection between physical exertion and athlete perception. …”

Terada, M., Taniyama, D., Isaka, T. “…A significant time main effect was found for the CAIT scores (P = 0.03). …”

Catanzano, J., Wang, D., Gibson, M., Mikulis, E., Bellas, V., Englezos, G., Pottorf, O., Melgar, D., Ghigiarelli, J., Sell, K. “…Male tennis athletes had significantly lower HG-L than basketball, baseball and lacrosse (p < 0.05). …”

Russell, J. L., McLean, B. D., Stolp, S., Strack, D., Coutts, A. J. “…Results showed that defensive performance varied significantly with elevation (p = 0.005), time zone acclimation (p = 0.055) and 5-day load (p = 0.065). …”

Josse, C. M., Morin, J.-B., Clark, K. P., Greenshields, J. T., Wellman, A. D. “…Large to nearly perfect, significant relationships were obtained between maximal power and 10-meter time. …”

Schaugaard, B. T., Hinkle, L. J, Davidson, G., Mortensen, B. B., Johnson, A. W. “…None of these groups differed significantly in PDI score from one another (all p < 0.05). …”

Davidson, G. K., Hinkle, L. J, Schaugaard, B. T. T., Wilwand, M., Mortensen, B. B., Johnson, A. W. “…RESULTS: A Kruskal-Wallis test showed significant differences between groups (p = 0.035). …”

Swarén, M., Fahlstedt, M. “…Both men`s and women`s helmets had significantly higher peak angular acceleration compared to the new helmets (p < 0.001), and women`s helmets also had significantly higher peak angular acceleration compared to men`s helmets. …”

Sohail, J., Teixeira-Dias, F., Merriman, S. “…This algorithm has the potential to significantly aid researchers conducting field tests within non-helmeted sports by reducing the time required to analyze and determine head impact locations.…”

Wilwand, M., Sponbeck, J., Allen, S. P., Snow, G., Hunter, I., Johnson, A. W. “…Prediction of speed compared to the measure of speed was weakly correlated within the whole team (R2 = 0.26) while it was strongly correlated across the combo (R2 = 0.91), big (R2 = 0.81), and skill (R2 = 0.77) position groups. It was also significant within the whole team and all position groups (p = <0.001). …”

Vandenakker, J., Wilwand, M., Mortensen, B. B., Johnson, A. W. “…A repeated measures ANOVA showed no significant difference in the AVG force (427.17 ±76.29N, p=.605) nor in the PF force (452.51 ±79.38N, p=.664) for the 21 players who were measured across three years. …”

Guymon, I. B., Wilwand, M., Allen, S. P., Mortensen, B. B., Johnson, A. W. “…RESULTS: The right and left HF muscles were not significantly different (mean= 2628.6 ± 326.8 ml, p=0.667), however right and left TA muscles were significantly different (right mean: 169.4 ± 30.9 ml, left mean: 164.6 ± 29.8; p= 0.005). …”

Chen, L., Lim, J., Thapa, R. K., Heng, S. M. K. “…However, there was a moderate positive correlation (P=0.008, r=0.604) between relative BS strength and average CMJ height, P but no significant correlation (P>0.05) was found between relative HBD strength and average CMJ height. …”

Zhu, H., Wen, Y. “…However, the basketball intervention produced significantly more pronounced effects compared to the mixed-activity standard physical education program. …”

Crespo, P., Herranz, N., Estella, V., Morencos, E., Herranz, M., Rodas, G. “…Amenorrhea was also reported by 22.81% of them, and 3.51% of the players had been pregnant at some point in their lives. No statistically significant differences were observed when comparing the characteristics of the MC between first and second division players. …”

Csiernik, B., Cavell, M., Nauboris, K., Wattie, N. “…A multinomial logistic regression using shot data from the Ontario University Athletics women's hockey league, Professional Women's Hockey League, and the National Hockey League revealed statistically significant differences, indicating that each league has unique shooting patterns. …”

Eliason, P. H., Galarneau, J. M., Martin, C., Kolstad, A. T., Shill, I., Babul, S., Mrazik, M., Schneider, K. J., Hagel, B. E., Emery, C. A. “…Rates of practice-related lower extremity injury were lower than the game-related rates for each age group. The factors significantly associated with game-related injury were policy permitting body checking in games (IRR = 1.88; 95% CI: 1.09, 3.24), female sex (IRR = 1.92; 95% CI: 1.02, 3.62), and previous 12-month injury (IRR = 1.43; 95% CI: 1.01, 2.01). …”

Courel-Ibáñez, J., López, M. I. P., Contreras-García, J. M., Ibáñez, S. J. “…Despite significant advances in basketball analytics, professional women`s leagues remain underrepresented in performance research. …”

Gál-Pottyondy, A., Pálya, Z., Trzaskoma, L., Kiss, R. M. “…However, plank test indicators showed no significant correlations with game-related performance variables, except for bad throws (r = 0.56, p = 0.037), the postural error (PE), a variable reflecting compensatory movement during fatigue in the plank test, correlated with balance indicators (r = 0.63, p = 0.014). …”