Two-factor mixed-design ANOVA results demonstrate that the main effect of the assessment timepoints of right eye flicker fusion frequency was highly significant (F = 145.229, p < 0.001).
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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.
The soil temperature dropped by about 5 °C in LC with a significant trend ( p < 0.001). pH values decreased by about 0.4, and the downward trend was significant ( p < 0.05); the soil showed weak acidity after coal mining cracks.
The associations between symptoms and all the remaining variables did not reach statistical significance (according to the Bonferroni adjusted level of p = 0.001). 3.4.
The frequency of hospitalization stratified by age groups showed an increase from 55.26% in 2002 to 74.92% in 2016 in the <1 year age class ( Figure 1 ) with a significant trend (β = 1.37; p < 0.001).
Correlations between Urinary Metals, U-PHE, and 8-oxodG Significant, or marginally significant, linear correlations were found between 8-oxodG and the following metals: Mn (r = 0.354, p = 0.001), Tl (r = 0.321, p = 0.002), Zn (r = 0.309, p = 0.003), As (r = 0.309, p = 0.003), Pb (r = 0.283, p = 0.007), Co (r = 0.239, p = 0.024), Ba (r=0.213, p = 0.045), Cr (r = 0.213, p = 0.045), and Cd (r = 0.194, p = 0.071).
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.
However, the highly significant results ( p < 0.001) in the abstracts were strongly correlated (r = 0.61, p < 10 −6 ) with the number of p < 0.001 significances in the papers.
The Type 3 score test indicated a highly significant main effect of cluster (χ 2 = 62.54, p < 0.001).
The increase was highly significant in the multivariate analysis for both stoves ( p < 0.001).
A repeated measures ANOVA of the wellbeing items (active; alert; excited; enthusiastic; happy; inspired) showed highly significant differences between the items, F(5,1555) = 52.68, p < 0.001; Bonferroni t -tests showed that the item ‘excited’ was significantly lower than the other five items, t(311) = 8.70, p < 0.001 for the smallest difference ( Figure 1 ).
The p -value were chosen as non-significant: p -value > 0.05, significant: p -value ≤ 0.05, high significant: p -value < 0.01, highly significant: p -value < 0.001.
Spearman correlation coefficients between noise and heart rate were weak to moderate, but highly significant: ρ 0.46 ( p < 0.001) overall, ρ 0.16 ( p < 0.001) during work activities, and ρ 0.44 ( p < 0.001) during non-work activities.
The overall RC (Health District 1 3.49, Health District 2 3.71, Health District 3 3.67, Health District 4 3.49), as well as the within-group RC (Health District 1 4.11; Health District 2 4.11; Health District 3 4.15; Health District 4 4.06), the between-group RC (Health District 1 3.28; Health District 2 3.57; Health District 3 3.51; Health District 4 3.30), and the RC of the for subgroups GP’s, hospital practitioners and nurses differed highly significant between health districts ( p < 0.001, each).
The two-factor mixed-design ANOVA results demonstrate that the main effect of assessment timepoint on left eye flicker fusion frequency was also extremely significant (F = 160.570, p < 0.001).
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.
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.
The model was highly significant ( p < 0.001), and the R-squared was 0.89.
In a trend test, i.e., using the number of patient transfers as a continuous variable, it was also highly significant in relation to back injury events ( p < 0.001).
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.
Season-related differences in the prevalence of vitamin D sufficiency, insufficiency, deficiency, and severe deficiency (<10 ng/mL) were highly significant (chi 2 test, p < 0.001).
To compare the accuracy of factors identified by regression analysis, we included the three factors with highly significant results ( p < 0.001; age, life satisfaction, and cognitive level) and the six factors with significant results ( p < 0.05; age, final educational level, residential area, regular exercise, life satisfaction, and cognitive level) in the comparison.
An inspection of the median scores shows that the differences between rural and urban residents were especially large and highly significant ( p < 0.001 for the MW test with Bonferroni correction, unless otherwise stated) for individuals aged 65–74 (MW = −4.4); living in company (MW = −3.9); with primary or no education (MW = −5.4); making ends meet with some difficulty (MW = −4.4); with fair self-perceived health (MW = −3.6); suffering
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).
Additionally, RFM had a highly significant positive correlation with FM% (r = 0.751, p < 0.001), and changes in RFM during the lifestyle intervention were significantly correlated with changes in FM% [ 84 ].