Excerpts

The Cochran-Armitage test found a positive trend in the DES and post-DES groups for PTB ( p = 0.0095), LBW ( p = 0.0006) and HBW ( p = 0.0033) ( Table 3 ).

All metals showed positive correlations, with Cu-Cd (r = 0.883), Cd-Zn (r = 0.891) and Zn-Hg (0.804) showing highly significant positive correlations at p < 0.01, and Cu-Zn (r = 0.723), Cu-Pb (r = 0.643), Cd-Pb (r = 0.61) and Hg-Cd (r = 0.602) showing significant positive correlation at p < 0.05.

Probability was considered significant at p < 0.05 and highly significant at p < 0.01.

Furthermore, it was found that BCF and the log[BCF] of wheat grains showed highly significant negative correlations ( p < 0.01) with total soil Cd, Ex-Cd, soil P, and soil Zn.

There was an increasing trend of having missing teeth ( p = 0.03) as people aged and a decreasing trend in the number of filled teeth ( p < 0.01).

Melanomas excised during the pandemic period showed a trend toward a higher Breslow thickness median (1.80 vs. 3.00; p = 0.010) when compared to the prepandemic cohort ( Figure 2 ).

On the contrary, there was a decreasing trend across birth cohorts among Japanese men and women, indicating a relatively lower risk of CVD mortality in cohorts born more recently ( p < 0.01 for all). 3.3.

As shown in Table 1 , the global Moran’s I were highly significant at p < 0.01.

For the other five groups, there were very highly significant positive associations ( p < 0.01) with the agrarian territories “4.

However, the RE (HR: t (1,9) = 3.3, p < 0.01, d = 0.75; SCL: t (1,9) = 5.3, p < 0.001, d = 1.20) was highly significant in reducing stress levels compared to the DE (HR: t (1,9) = 3.1, p < 0.01, d = 0.59; SCL: t (1,9) = 2.5, p < 0.05, d = 0.33). 3.2.

A decreasing trend in ΣPAH concentrations was observed in Shenyang in the winter (statistical significance, p ≤ 0.01) and in Beijing in the summer, with a temporal increase in the winter of 2010.

Fathers’ education level had a highly significant positive association with sleep duration ( p < 0.01); nearly two thirds of the participants (60.8%) whose fathers’ level of education was between university and postgraduate had short sleep duration.

We observed a highly significant negative correlation between resistance intention to change (Time 2) and individual performance ( r = −0.148, p < 0.01).

As shown in Figure 8 A, the mung bean seed shoots in 2,6-DCP (200, 400, and 600 mg/L) treated with LAC-4 laccase were significantly longer than the mung bean shoots exposed to untreated 2,6-DCP (200, 400, and 600 mg/L), with extremely significant differences ( p < 0.01).

Regarding the results of the oral rinse water, a significant difference ( p < 0.05) was found in factor A, and highly significant differences ( p < 0.01) in B, C, and D, and the interactions A × B, A × D, B × C, and B × D.

Results and Discussion Variance analysis of all variables in the study found that all factors had extremely significant effects on PM2.5 concentration ( p < 0.01, R 2 = 71.39%).

According to the results of the significance test, the trend is divided into three levels: extremely significant ( p < 0.01), significant ( p < 0.05), and insignificant ( p ≥ 0.05) [ 9 ]. 2.4.2.

The results of the Pearson test showed highly significant correlations between apoptotic cells and cytochrome c release, Δψ m , and mPTP opening, respectively ( p < 0.01). 3.3.

Collection site was highly significant ( p ≤ 0.01) for Shigella spp., E. coli , and fecal coliform, whereas the sampling time had no significant effects on any of the three variables.

When p < 0.05, the correlation was considered to be somewhat significant; when p < 0.01, the correlation was considered to be extremely significant.

The impact of the EHIC, psychiatric disorders and belonging to the municipality of Herne was positive and highly significant ( p < 0.01).

A chi-square test of independence also revealed that prognosis was considered a highly significant parameter over others, χ 2 (4) = 12, p = 0.01.

It should also be noted that age and seniority were statistically highly significant at a 1% level (r = 0.762, p -value < 0.01).

Differences in negative perceptions of indoor air quality between the groups were overall highly significant ( p < 0.01), with the exception of “bad smelling” and “smoky”.

(2020), where a highly significant ( p < 0.01) increase in hemoglobin levels was observed [ 7 ].