Excerpts

The average annual precipitation had an increasing trend that was not statistically significant, and the average annual temperature increased at a rate of 0.026 °C/a in Kuye River Basin ( p > 0.1).

Regarding the direct effect of environmental noise on sleep, only marginally significant effects were observed (0.05 < p < 0.1), and no clear trend was identified ( Table 4 ).

Logistic Regression Analysis of Predictors of Low Resilience Nine of the variables in Table 2 with significant p values ( p < 0.05) or p -values that were trending or approaching significance p values (0.05 ≤ p ≤ 0.1) were entered into the logistic regression model.

Variables with statistically significant or near-significant associations ( p ≤ 0.1) for each of the variables were entered into a logistic regression model to identify significant predictors of likely MDD.

Furthermore, the univariate regression analysis provided a statistical trend, p < 0.10, for the association with the comfortable walking speed score as well as the maximum walking speed max ( Table 3 ). 4.

For both the ABI and the PVR, there was a statistical trend ( p < 0.10) towards better results in the intervention group compared to the control group, but the results were not statistically significantly different between the two groups during the 12 months of follow-up ( p = 0.061 and p = 0.077, respectively) ( Figure 3 ). 3.3.

Results demonstrated no significant associations between anthropometry characteristics (height or mass) and on-ice skating performance, except for a favorable trend between height and skating agility ( p < 0.10).

On univariate analysis, variables with a statistically significant relationship ( p ≤ 0.05) or approaching significance (0.05 < p ≤ 0.1) to the likelihood of MDD and PTSD were included in a logistic regression analysis.

However, when evaluating PPP and PMH ( Table 10 ), only differences in PPP could be considered significant and with p < 0.1.

We found 14 variables with significant or near-significant p values ( p ≤ 0.1) ( Table 2 ).

The univariate ANOVA models were conducted using the outcome variables (i.e., COVID-19 peritraumatic distress and loneliness) to identify possibly significant sociodemographic covariates, using a criterion of p ≤ 0.10.

Finally, self-efficacy has a positive effect on individual resilience (b = 0.552; p < 0.010), but the indirect effect on team resilience is only marginally significant (b = 0.111; p < 0.100).

In South Africa, significant associations included having more friends, which was negatively associated with ART adherence, as well as near significance ( p = 0.1) for negative associations with betweenness centrality and also for the number of same-gender network members.

Differences that approached significance ( p < 0.10) were that e-cig users were more likely to have a high school education or less and to be using Medicaid or no medical insurance.

We further probed any significant ( p < 0.05) or marginally significant ( p < 0.10) simple moderation by conducting simple slope analyses, examining the effect of complicated grief or general grief on depression or anxiety at varying levels (i.e., 1 standard deviation below the mean, the mean, and 1 standard deviation above the mean) of nature-related variables. 4.

In the moderate to severe depression caregiver subgroup (CES-D > 11), the improvement in depressive symptoms was marginally significant (t[12] = 1.80, p = 0.10).

Since this relatively small N limits our statistical power for adjusted models with eight covariates, we discuss “marginally significant” ( p < 0.10) associations in addition to significant ( p < 0.05) associations among our results. 3.

The slope was positive for immigrant students, although only marginally significant (γ13 = 0.06, p < 0.1), indicating that these students had similar falls in academic self-concept to Spanish students.

In all cases, the significance level was set at p < 0.05, and the marginal significance was set at p < 0.1.

For the gross motor domain, there was a negative effect of barium (−0.89) and a positive effect of strontium (0.76), albeit both effects were only marginally significant, with p -values < 0.1.

Marginally significant improvements were also observed in the subscales of self-kindness (t(132) = 1.66, p = 0.10, d = 0.14) and overidentification (t(132) = 1.88, p = 0.06, d = 0.16).

Predictors that were found to be marginally significant (p < 0.10) in the bivariate analyses were considered for inclusion in a stepwise regression model (p < 0.10 to enter and p < 0.10 to remain) to construct a final, season-specific model for each of the pollutants by season.

There was also a downward trend (marginally significant, p < 0.1) for “Depression-depression,” but no characteristic trend was observed for “liveliness.” As for emotions (measured using PANAS), negative emotions were significantly ( p < 0.01) lower after the experience.

Income has a slightly significant positive effects on being overweight or obese ( p < 0.1), but log of income squared has a significant negative effect on these ( p < 0.1).

Additionally, a one-unit increase in disengagement coping was associated with a marginally significant decrease in COVID-19 worries by a 0.777 unit while holding other variables constant ( p ≤ 0.10).