Excerpts

A highly significant association was noted between fast food consumption and BMI (χ2 = 83.31, p<0.001).

Even though both formulations had the same type of time distribution (exponential), the distribution rate parameters differed in an extremely significant manner on the Kolmogorov–Smirnov test ( p < 0.001).

As shown in Figures 1 and 2 , gender differences in perceived mathematics ability in 10th and 12th grades are highly significant ( p < 0.001).

Comparing the mean anxiety scores between the components, Friedman Test revealed highly significant (chi sq = 823.5, p < 0.001) difference among the scores of various anxiety components.

The increase became highly significant for both proprioceptive and postural controls ( p < 0.001).

Component 2 displayed a biologically plausible HDR, and a highly significant main effects Time, F (19, 874) = 84.31, P < .001, η p 2 = .65, clearly meeting the requirement of temporal validity.

Analysing questionnaire results, highly significant statistical differences were noted for both CIVIQ-20 and r-VCSS when comparing the baseline with results at one month and six months ( p < 0.001).

When comparing responder and non-responder values with respect to the sensory and the affective pain ratings, non-parametric tests disclosed a highly significant difference between groups in both pain dimensions ( p < .001).

The difference obtained between the preoperative and postoperative follow-up mean values at intervals of 6 weeks, 3 months, 6 months, and 12 months were found to be highly significant at a p -value <0.001 ( Table 2 ).

Clonidine at doses of 37.5 μ g/kg and 65 μ g/kg induced a highly significant [ F ANOVA (3, 20) = 90.46; P < 0.001] decrease in the mean hind limb withdrawal time (Fig. 2 ).

From the first session onward, significant differences began to emerge ( P = 0.016 for air blast; P = 0.038 for tactile), becoming highly significant in subsequent sessions ( P < 0.001).

A Pearson’s chi-squared test revealed a highly significant association between site and infection status (χ2 = 67.33, df = 3, p < 0.001), indicating strong spatial heterogeneity in parasite transmission risk across the region ( Figure 2 ).

This remarkable increase was quantitatively confirmed by a highly significant rise ( p < 0.001) in the fluorescence intensity of 2,7-DCFH-DA, a ROS-sensitive fluorescent probe.

In Model 2, the inclusion of the core independent variable— DAB —resulted in a highly significant increase in the model’s explanatory power (△ R 2 = 0.164, △ F = 27.157, p < 0.001).

The results prove a highly significant difference (90% versus 10%, p < 0.001) proving a significantly higher frequency of “very well-matched scar’ appearance than “well-matched” scar appearance.

The KMO measure of sampling adequacy was 0.921, indicating an excellent level of adequacy, and Bartlett’s test was highly significant (p<0.001).

The Kaiser-Meyer-Olkin Measure of Sampling Adequacy (KMO) value of 0.870, in conjunction with a highly significant Bartlett’s Test of Sphericity (χ 2 = 5493.945, df = 1225, p < 0.001), demonstrates substantial intercorrelation among the variables, thereby confirming the appropriateness for PCA.

When considering mood ratings, repeated-measures ANOVA also resulted in a highly significant main effect of Time (sadness: F (2.25,288.131) = 99.901, p < 0.001; tension: F (2.39,306.53) = 61.417, p < 0.001; hostility: F (2.23,285.33) = 108.390, p < 0.001).

This difference was highly significant in a simple two-group comparison ( p -value < 0.001).

The effect of group was highly significant, F (3, 65) = 15.75, p < .001, and explained over 40% of the variance in the composite variable, η p 2 = 0.42 (see Figure 1 ).

A major finding of our study was that the mean MSNS score was significantly lower among non-survivors (7.87 ± 1.70) compared with survivors (10.80 ± 1.75), with a highly significant difference (p < 0.001).

Statistical significance was interpreted as highly significant at P ≤ 0.001.

The following variables that showed a highly significant statistical difference ( P <0.001) in the univariate analyses were entered a stepwise backward logistic regression model: age; Euroscore; preoperative plasma creatinine level; ScO2 minox ; type of surgery; duration of surgery; duration of cardiopulmonary bypass (CPB); lowest hematocrit during CPB; intra- and postoperative use of inotropic/vasoactive agents (noradrenaline, dobutamine, vasopressine); cumulative use of blood products; mean RPP within the first 8 hours after ICU admission, time to first extubation (hours), and reintubation.

abdominal pain, nausea, belching, bloating and flatulence, were all highly significant (Somer’s d (t) = 6.43 – 40.05, p <0.001), and interestingly the weakest correlation was found for abdominal pain (t = 6.43).

Our results for increased diagnostic certainty of RA were highly significant (31.1% versus 61.2%, P <0.001).