In contrast, Model 2 exhibited highly significant underestimations ( p < 0.001) at all intensities except 100% ( p = 0.662).
Excerpts
The Type 3 score test indicated a highly significant main effect of cluster (χ 2 = 62.54, p < 0.001).
Validity Analysis of the SF-36 (1) Content validity: The correlation between each subscale and the total score was highly significant ( p < 0.001).
An increasing trend in the quantity of average vaping was found over time ( BF (14, 130.955) = 0.954 p < 0.001), although the Bf < 3 ( Table 1 ).
The t-test showed a highly significant difference (t(64) = 7.24, p < 0.001) between the two settings, suggesting that the birth centre was perceived as significantly more pleasant than the hospital context.
Finally, the percentage of expression of B lymphocytes from the immunohistochemical analysis was the most significant value for the inflammatory infiltrate given the highest concentration of these cells compared with the others in T4 and the very low percentage in T1 with highly significant results ( p < 0.001).
In addition, only the PM components with a diameter less than 2.5 μm were able to determine a statistically significant reduction in cellular activity ( p < 0.01) in both B3 and C3 samples and a highly significant reduction in D3 ( p < 0.001).
Scoring of pain severity in relation to presence of premenstrual symptoms were highly significant ( p value <0.001, Table 1 ).
These negative trends in long-term streamflow regime are significant for Kruger ( p = 0.016) and highly significant for Matsika ( p < 0.001).
In this study, however, highly significant differences ( p < 0.001) were observed between mesophilic bacterial concentrations and temperatures.
As shown in Table 2 , inter-item correlations (construct loadings) were extremely significant in statistics (p < 0.001, all above the threshold value of 0.50 [ 49 ]), which indicated that the latent variables could be strongly explained by measured variables.
Differences in Physical Activity Levels The one-way ANOVA revealed that there were highly significant differences in the levels of PA (as measured by total METs-min) of youth across the three cities (F 2,2244 = 258.02, p < 0.001).
With the exception of the scale of demands, all measures assessing psychosocial work conditions were associated with an overall sense of job satisfaction and were statistically highly significant (test probability value of p < 0.001).
Although the frequencies of binucleated cells and micronuclei did not reach statistical significance between groups, the DNA damage index (assessed by the comet assay; visual score; Figure 2 ) was significantly higher in the exposed group ( p < 0.001), supporting the genotoxic potential of Mancozeb in real-world occupational conditions.
Bartlett’s Test of Sphericity was highly significant (χ 2 = 210.4, df = 36, p < 0.001), and low off-diagonal values in the anti-image correlation matrix demonstrated that the data were suitable for factor analysis [ 38 ].
A substantial majority of women whose partners exhibited controlling behaviour reported emotional violence (71.84%), compared to 28.16% among those whose partners did not, a difference that was highly significant ( p < 0.001).
The effect size was highly significant ( p < 0.001) for reading and schooling, evidencing a low education profile or without studies.
Waist-to-height ratio demonstrated the steepest gradient, ranging from 0.41 ± 0.04 in the underweight category to 0.60 ± 0.06 in the obese category, again with highly significant differences ( p < 0.001).
caliginosa body mass from CdP5 to CdP25 was highly significant and negatively ( r 2 = 0.83 ± 1.51, p < 0.001) correlated with the phenanthrene concentration in soil.
When considering the effect of ageing, the Cramer’s V test pointed to four moderately significant associations at 0.001 ( p -value ≤ 0.001), namely shoulders (0.313), hips/thighs (0.244), knees (0.212), and ankles/feet (0.201).
Assessment of Model Fit The results of the Omnibus Tests of Model Coefficients are highly significant ( x 2 (38) = 378.1, p < 0.001), indicating that the final model is significantly better than the baseline model.
Using ANOVA with repeated measures, the comparison of the results before and after the intervention revealed highly significant effects of HIIT on body weight ( F = 22.24, p < 0.001), BMI ( F = 13.89, p < 0.001), WHR ( F = 32.92, p < 0.001), and BF% ( F = 14.56, p < 0.001).
The balance of the pros and the cons showed an increasing trend in negative over positive attitudes toward smoking across the SoC ( F 2,249 = 9.2, p < 0.001). 3.3.
There were highly significant differences between the two genders in lifetime ( p = 0.001), 12-month ( p = 0.01) and 7-day ( p = 0.01) shoulder pain prevalence.
Data provided by the statistical authority with regards to deaths from the total of respiratory diseases (ICD9 range: 460–519) for the 21-year period 1989–2009, revealed the existence of a decreasing trend ( p -value < 0.001) ( Table 2 ).