It was a highly significant correlation between these two dimensions of spiritual well-being (religious well-being and existential well-being) (r=.74, p=.000) and also between each dimension and total score of spiritual well-being (r=.93, p=.000).
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Cause of death and macroscopic aspect of sera influenced the serological results in a highly significant manner ( P = 0.00).
When unpaired t-test was applied to compare the two means, it was highly significant ( p = 0.000, t = −13) with 35% showing a positive behavior and 15% showing a positive behavior for group B (experimental group) ( Graph 1 ).
There was a highly significant, close correlation between IMCL and EMCL within the total study population ( r = 0.73, P = .000) as well as within the groups or strata.
ANOVA for the budburst period, indicated by the arrows on the Figure 1 graphs, showed a highly significant budburst increase in Figure 1 B–F, ( p = 0.0000), but less significant in A ( p = 0.1191).
reniformis , a highly significant correlation between surface area and wet weight was found (Pearson correlation, r = 0.92, n = 20, p = 0.000, two-tailed, Supplementary Figure S2 ), as well as between surface area and volume ( r = 0.92, n = 20, p = 0.000, two-tailed, Supplementary Figure S3 ).
Statistically significant association of probable cases of PCOS was observed with age at menarche ( P = 0.001), religion ( P = 0.023), marital status ( P = 0.010), and gravida of patient ( P = 0.004), and highly significant association between PCOS probable cases and educational status ( P = 0.000), socioeconomic status ( P = 0.000), and dietary pattern ( P = 0.000).
Results showed that RHA/AA ratio was highly significant ( p < 0.000) followed by NaOH concentration ( p < 0.024).
Since the discriminant analysis over all areas indicated a highly significant inhomogeneity of the fingerprints between the areas ( p < 0.000), a pairwise comparison between all areas was also performed.
Pearson’s statistics shows a highly significant association (Pearson = −0.8, p < 0.000) adjusted to gender and age ( Table 3 ).
Highly significant difference was observed in the source of information among different categories of workers ( P = 0.000 ).
The correlation is highly significant ( p = 0.00), indicating that this relationship is unlikely to occur by chance. 3.6.
When the populations were considered as two basin groups, the AMOVA among groups was 78.17% and F ST value was highly significant ( F ST = 0.781; p = 0.000).
The correlation analysis between random blood sugar levels and changes in the histopathological structure of the kidney, specifically total glomerulosclerosis, revealed a highly significant value of P = 0.000.
The equation that predicts hip BMD from the independent variables was found to be: Hip BMD= -.221 +.026(dairy) +0.006(weight) -0.001(OPG) +.18(K) -0.003(CTX) The value of R 2 (for Hip BMD) was 0.39 (adjusted R 2 was 0.36) a value that was highly significant (p<0.00).
More than two-thirds of the subjects (77.51%) belonging to the age group of 18-30 years had pink-coloured tongues and the findings were highly significant (p=0.00).
The reduction in recession in both groups were statistically highly significant ( P = 0.000).
This difference is highly significant, according to the T-criterion: t(98) = 15.41, p = 0.0, and Cohen’s d = 3.08.
There was a negative, moderately significant correlation between the mean exercise benefits subscale score and the mean exercise barriers subscale score (r = -. 480, p=.000) and there was a strong positive correlation between the mean exercise benefits subscale score and the mean total benefits/barriers scale score (r = .870, p = .000).
At baseline level (pre-operatively), the difference in levels when compared concerning the biomarkers between test and control group, there was a highly significant difference with serum HbA 1c (P < 0.000), amylase (P < 0.000), total protein (P < 0.000), glucose (P < 0.000) except CRP (P < 0.085) which was not significant.
In Group I, a statistically highly significant difference was found in the mean GI score at 30 days from baseline ( P = 0.00) and statistically significant difference was observed from baseline to 45 days ( P = 0.039).
This is highly significant (p<0.000).
The relationship between the two dependent variables was also analysed, and a highly significant correlation was found between BMI z-score and body fat percentage (r = 0.539, p = 0.000). 3.3.
RESULTS: During the study period, there were 2,646,194 deaths from IDCs among the elderly, with a decreasing trend (ß -0.545; confidence interval, CI: -0.616 to -0.475; P < 0.000) for both males and females.
Table 6 illustrates that there was a positive, highly significant correlation between perception of professional practice environment and work passion (r =.793, p =.00).