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.
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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.
In 2016, there was a decreasing trend of 0.055 (SE = 0.023, p < 0.001) weekly search queries for calories before 7 May, with a significant level change of 4.64 (SE = 2.17, p < 0.001) after 7 May.
The first regression model was highly significant ( F (11,557) = 5.96, p < 0.001), explaining, however, a mere nine percent of the variance of vaccination intention (adj.
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.
The chi-squared test revealed highly significant differences between the distribution of the BMI categories of the girls and boys ( p < 0.001; Cramer’s V = 0.135).
Overall, there was a highly significant between-team difference ( p < 0.001) and within-team difference ( p < 0.001) for chest compression rates, length of cycles, and number of delivered chest compressions.
LR was highly significant in both runs ( p < 0.001).
ANCOVA revealed a highly significant interaction between sites and MC congeners on MC concentration ( P < 0.001). summer Hartbeespoort Dam dry weight (DW) quantitative LC-ESI-MS intracellular variations microcystin-RR pmc-status-qastatus 0 pmc-status-live yes pmc-status-embargo no pmc-status-released yes pmc-prop-open-access yes pmc-prop-olf no pmc-prop-manuscript no pmc-prop-legally-suppressed no pmc-prop-has-pdf yes pmc-prop-has-supplement no pmc-prop-pdf-only no pmc-prop-suppress-copyright no pmc-prop-is-real-version no pmc-prop-is-scanned-article no pmc-prop-preprint no pmc-prop-in-epmc yes pmc-license-ref CC BY 1.
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 results for the overall sample indicated a positive trend in the HRI (Mt1 = 48.5, SDt1 = 22.5; Mt3 = 56.7, SDt1 = 21.2; p < 0.001).
The differences between the two periods investigated in the present study were highly significant in all the measures, i.e., vigorous and moderate physical activity, walking, and total physical activity ( p < 0.001).
The increase was highly significant in the multivariate analysis for both stoves ( p < 0.001).
Autochthonous Malaria trends in Spain throughout the 20th Century After applying the Mann-Kendall-Test for the trends of the annual number of cases for the malaria mortality in Spain (1900–1959) we have found a significant trend ( n = 59, p < 0.001, slope ( Q ) = −50.8).
As expected, there was a highly significant main effect of sampling time (F = 26.62, df = (1,54), p < 0.001), indicating that cortisol means varied across the day.
This difference was highly significant (F = 25.5, p < 0.001) when the data for the three sites was considered together, with a mean of 143.3 μg/L in those with CC and 83.8 μg/L for those with other benign diagnoses.
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).
Correlation between SOC and Aggressiveness In both samples, a highly significant correlation exists between the total score on the SOC and the aggressiveness tests, with Pearson’s rho = 0.419 and −0.546 ( 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.
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).
With respect to the Swiss Emergency Triage Scale, we found a highly significant association between the two groups and the triage groups (life-threatening: adolescents 148 (3%) vs. adults 15,564 (7.8%), p < 0.001).
The discern tool showed highly significant, ( p < 0.001) weak to moderate (r < 0.50) correlation between all raters except PHY and SPO ( p = 0.48) and the JAMA score was highly significantly correlated among all raters.
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 ).
Likelihood-ratio tests comparing each model with ordinary logistic regression were highly significant (all p < 0.001).
The aim was to find out whether the differences among medians of each group were statistically significant within the sample, suggesting the existence of a relationship among variables ( p < 0.05 * significant, p < 0.01 ** highly significant, p < 0.001 *** very highly significant, p < 0.0001 *** very, very highly significant).