“highly significant”

On the other hand, infections had a highly significant positive effect (47 vs 31%, OR = 2.01, P < 0.001).

Additionally, a positive correlation existed between fatigue scores and anxiety, depression, and stress in the study group, with a highly significant difference compared to the control group ( p < 0.001) [ 24 ]. 4.

These differences were highly significant based on the ANOVA conducted [ p < 0.001].

LPS), very significant (##, ** p < 0.01), and highly significant (###, *** p < 0.001). 3.

The logistic regression showed a significant impact of vaginal type of delivery and mothers’ university education in a model used for estimating the above-median RCPM test results for both cohorts (OR 2.32, p < 0.01) and a highly significant impact of mothers’ university education in the Karvina and boys groups (OR 6.60 with p < 0.001 and OR 4.55 with p < 0.01, respectively).

Among those, 12 were macroscopically classified as acute, this association being highly significant ( p < 0.001).

Bartlett’s Test of Sphericity was highly significant (χ 2 = 186, df = 15, p < 0.001), confirming that the correlation matrix differed significantly from an identity matrix and that the variables were sufficiently intercorrelated for PCA.

Results Growth Attributes For shoot and root length, data showed a highly significant (p < 0.001) difference in drought, varieties and foliar applied ASA with significant interactions among these factors at vegetative stage of chickpea showed in Table 1 .

The results of chi-square tests showed highly significant associations (p<0.001) of exposure to all types of mass media with background characteristics of Indian women.

Highly significant association were found between education and CIN (X 2 = 63.694; df=1; p<0.001), age of marriage and CIN (X 2 = 24.023; df=1; p<0.001) and parity and CIN (X 2 = 20.338; df=1; p<0.001).

In five subgroups (i.e., White, non-Hispanic, up to and completion of high school education, above high school education, and mothers as respondents), all correlations were similar in magnitude to the whole sample and were highly significant ( p < 0.001).

This difference was again noticed to be highly significant statistically ( P <0.001).

The age of the birds had a highly significant effect on PC1, with chicks generally having higher antioxidant capacities (CAT, GST and tGSH) than adults (LMM, Estimate ± SE = −1.34 ± 0.19, F 1,49.2 = 52.1, p < 0.001).

The results were considered significant at * p < 0.05, very significant at ** p < 0.01, or highly significant at *** p < 0.001.

Highly significant differences ( p < 0.001) in signal intensity between HEAO and HLBO were observed for 3-pentanone and its dimer, ethyl 2-methylbutanoate, limonene, α-pinene, ethyl acetate and its dimer, ethyl 2-methylpropanoate, benzaldehyde, and methyl 2-methylbutanoate.

AP demonstrated a highly significant positive correlation with shanzhiside methyl ester ( p < 0.001) and a significant negative correlation with barlerin ( p < 0.01).

The highest quercetin concentration (400 μM) (in a 48 hr exposure) caused a 20% increase in R t that was highly significant (P<0.001).

The statistical model for the dependent variables (IB, MOR, MOE, TS, WA, TC) was statistically highly significant ( p < 0.001) for all variables and the explanatory power of the model was high, as shown by partial η 2 -values higher than 0.83 for all investigated panel properties. 3.1.

All three link functions revealed highly significant common scale parameters (for each life stage P < 0.001), thus adequately describing the variability in development times observed among individuals in each stage.

The correlations between the pressure-loaded measurement area between the pressure mat and the graph-based analyses were highly significant for all participants (minute 30: r = 0.99, p < 0.001; minute 90: r = 0.99, p < 0.001), but also for participants who were able to actively change their position (minute 30: r = 0.99, p < 0.001; minute 90: r = 0.99, p < 0.001) and for participants who were not able to actively change their position (minute 30: r = 0.99, p < 0.001; minute 90: r = 0.99, p < 0.001).

Previously, we had found that for an OR with a typical expression frequency (~0.1%) and an effect size of ~2-fold, statistically 12 OE sections taken from four different animals were sufficient to find a highly significant difference (p < 0.001; two-tailed paired t test).

District-wide variations in spatial distributions of depression and suicidal ideation were highly significant (χ 2 =203.601 , p <0.001 and χ 2 =92.230 , p <0.001 respectively).

The highest F ST value was observed between the Dzungarian and the southeastern Gobi ( F ST = 0.0191), the lowest between the Transaltai and the southeastern Gobi ( F ST = 0.0068), and an intermediate between the Dzungarian and the Transaltai Gobi ( F ST = 0.0088; all pairwise F ST values were highly significant at P < 0.001).

The test for trend was highly significant in both analyses (P < 0.001).

For all the substances except Cadaverine, Gaba, Lysine, and Ornithine, the ANOVA test showed a highly significant difference among groups (p < 0.001).