The final multivariate logistic regression model identified age as a highly significant risk factor for hypertension among people on ART (OR: 1.08, 95% CI: 1.055-1.11, p=0.000).
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We found that EGFR was directly related to tumor differentiation, such that its expression increased with increasing grade of the tumor, and this was found to be statistically highly significant among the three grades (p = 0.000) of OSCCs.
The effectiveness of the health education program was highly significant (p=0.000, Z=-4.725).
Years of experience also yielded highly significant results (p = 0.000), with health workers having five to 15 years of experience showing the highest number of highly satisfied responses of 23.2% (n = 70).
Very highly significant (P<0.000) The sample size was calculated according to a pre-established formula: N = population size e = Margin of error (percentage in decimal form) Z = Z-score (desired confidence level, 95%: z score = 1.96) The estimated sample size required to achieve a precision of ±0.05% with a 95% confidence interval (CI) was 450 females.
Moreover, the obtained results showed that this relationship was highly significant at p < 0.000; together, these findings indicate that the association between the two variables is unlikely attributed to chance (Table 5 ).
This difference was found to be highly significant (P = 0.000).
The difference between patients with schizophrenia and non-psychiatric patients was highly significant, with schizophrenic patients being 3.4 times more likely to report owning cats in their childhood (odds ratio (OR)=3.441; p=0.000; 95% confidence interval (CI)=1.740-6.804).
A chi-square analysis revealed a highly significant association between the awareness of guidelines and the number of compliant procedures performed by a resident (p<0.000).
The statistical analysis of the data using an ANOVA test indicated a highly significant difference (P < 0.000) in compressive strength values among the tested groups, as depicted in Table 3 .
There was a highly significant difference, which was detected between the prevalence of parasitic infestation and diarrhea (P=0.000).
According to the chi-square test, this relation between age and third molars present was found to be highly significant (p=0.00).
The association between MRE timing and the final diagnosis was highly significant (χ2=27.3, p-value=0).
Results: The comparison of the fingerprint patterns in each group was found to be statistically highly significant (p=0.000).
The level of adherence was cross-tabulated with both hospitals, and the strength of association was calculated using a chi-square test (α = 0.05), which was found to be highly significant (p = 0.000).
A highly significant difference was observed between groups (P = 0.000) and between garlic and the other materials (P = 0.000).
All pairs demonstrate moderate to strong positive correlations (0.41 to 0.7), all highly significant (P=0.0), indicating that adjacent levels tend to follow a similar trend as the foraminal height increases or decreases at one level.
Knowing someone with OA emerged as a highly significant predictor, making participants over 10 times more likely to have high knowledge (Exp(B) = 10.217, p = 0.000).
The diagnostic accuracy value of MDW testing for early sepsis detection was highly significant (0.74, p < 0.000).
The mean difference between groups 1 and 2 and groups 1 and 4 was highly significant (p = 0.000 and 0.001, respectively).
Table 4 shows the results of the multiple linear regression model, which was a valid model, as the F test was highly significant (p <0.000).
5.5%, 4%), which was highly significant (p=.000) (Table 2 ).
A Kruskal-Wallis test indicated a highly significant difference among the four experimental groups (p = 0.000).
Descriptive statistics and correlation between all study measures The correlation matrix revealed that PF had a highly significant (p=0.0000) inverse correlation with the adoption of preventive behavior; e-health literacy had a significant weak inverse correlation with fear of COVID-19, and PF (p=0.007, p=0.000 respectively).
There was a statistically highly significant difference seen for the VAS score between sites at Site A1, Site A2, Site B1, and Site B2 at baseline (p = 0.000), one hour (p = 0.000), and two weeks (p = 0.000).