“moderately significant”

There were highly significant correlations between AIRQ score and patient self-perception of overall control (r = 0.69; p < 0.001) and symptom severity (r = 0.62; p < 0.001), and moderately significant correlations with patient self-perceived health risk from asthma (r = 0.55; p < 0.001).

A ∗ p value of ≤0.05 was deemed statistically significant, ∗∗ p ≤ 0.01 was regarded as moderately significant, and ∗∗∗ p ≤ 0.001 was considered highly statistically significant.

Statistical significance was assigned as follows: * P < 0.05, significant; ** P < 0.01, moderately significant; and *** P < 0.001, highly significant.

Interestingly, both Procrustes and Mantel analyses identified a moderately significant relationship between the two datasets (Procrustes correlation = 0.73, p = 0.001 and Mantel test r = 0.69, p = 0.001), suggesting both communities influence each other during regeneration.

Meta-analyses Outcomes The overall outcome of the nine studies ( n = 10 comparisons) showed a moderately significant effect size of g = 0.55 (95% CI 0.28–0.83, P < 0.001) for improvement on mental disorder symptoms at posttest (see Figure 3 ).

There was a moderately significant negative correlation between cough frequency and laryngeal hypersensitivity (r= −0.430, p<0.001; figure 3a ), suggesting an association between cough frequency and laryngeal hypersensitivity.

Results It was determined that there was a positive and moderately significant relationship between the mean total scores of the Climate Change Concern Scale and the mean total scores of the Environmental Sensitivity Scale ( r = 0.388, p < 0.001).

Construct Validity Convergent Validity A moderately significant correlation was found between the PALES and the WHOQOL-BREF environmental ( r = .46) and physical ( r = .31) health domains ( p < .001).

By the same token, high IAS total scores were associated with high scores on TAS-20 and with high scores on two components of TAS-20, “difficulty identifying feelings” and “difficulty describing feelings.” The results from the regression analysis showed that Interoception was a moderately significant predictor of Alexithymia, explaining 13% of the variance (beta = 0.37, p < 0.001).

A positive and moderately significant relationship was found between rumination and suicide probability (r = 0.441; p = 0.001).

Statistical comparisons were performed by SPSS 20 statistical software (version 20.0) using student's t -test with a setting significance of *P < 0.05 (significant), **P < 0.01 (moderately significant), and ***P < 0.001 (highly significant), respectively.

In particular, four combinations, namely Anxa5 and Inha, Anxa5 and Actbb, Inha and Vdr, and Inha and Actbb, were highly significant ( P <0.0001), while four combinations, Anxa1 and Anxa5, Anxa1 and Vdr , Anxa5 and Vdr , and Lhb and Gnrh-r, were moderately significant ( P <0.001).

There were moderately significant interactions between age and BMI in both men and women (r = 0.35; p < 0.001 and r = 0.38; p < 0.001, respectively).

Subset analysis indicated that the increase of RNR treated by C-PEI was highly significant compared with the sham group (P<0.001), moderately significant compared with the 2 mL ethanol group (P=0.048), but not significant compared with the low PTX dose group (P=0.307).

Statistical analysis Statistical analysis was calculated by Tukey’s post-hoc test with statistical significance assigned at ** P < 0.01 (moderately significant), *** P < 0.001 (highly significant).

A moderately significant positive correlation was found between overall sleep quality and HADS-A ( P =0.001, r=0.538) and HADS-D scores ( P =0.001, r=0.493).

The mean levels of BMI, fasting blood sugar (FBS), post-prandial blood sugar (PPBS), creatinine, HbA1c, eGFR, insulin, HOMA-IR, and microalbumin were statistically strongly significant (p = 0.0001**) and eGFR concentrations shown were moderately significant in prediabetes when compared to controls (p = 0.001*).

The significance of the correlation was interpreted based on the p -value as follows: p ≥ 0.05 NS , not significant trend; 0.01 ≤ p < 0.05, weakly significant; 0.005 ≤ p < 0.01, mildly significant; 0.001 ≤ p < 0.005, moderately significant; p < 0.001, strongly significant.

Statistical comparisons were conducted with Student's two‐sided t ‐test as * p < 0.05 (statistically significant), ** p < 0.01 (moderately significant), and *** p < 0.001 (highly significant).

The Spearman correlation coefficient revealed a moderately significant negative association between the mean μTBS and the nanoleakage data (ρ = -0.683, p < 0.001).

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).

The effect of the labels was displayed as colour maps of statistical significance using two colours, with yellow indicating highly significant results (p-value < 0.001) and green showing moderately significant or insignificant results (p-value ≥ 0.001).

A two-tailed P > .05 was considered statistically non-significant, p < .05 significant, P < .01 moderately significant, and P < .001 highly significant.

There was a moderately significant correlation between total QOL in comparison with caregivers’ educational level and mobility capacity, with R values of 0.54 (p<0.001) and 0.62 (p<0.001), respectively.

Our study found a negative and moderately significant correlation between the psychological resilience scale and the perceived stress scale (r = −0.330, p < 0.001).