Excerpts

Furthermore, there was a statistical trend in the KINDL R subdimension psychological well-being (d = 0.31; p = 0.094), whereas in the friends dimension, no trend was detected (d = 0.31; p = 0.129).

Multivariate analysis of significant or nearly significant effects (p < 0.1) of lifestyle variables concerned in this study (maternal age over 35 or under 17, being single mother, primiparity, smoking during pregnancy, history of infertility, previous miscarriages, previous induced abortions, short time or long time since previous pregnancy or using IUD before this pregnancy) was based on multiple logistic regression analysis (BMDP Statistical Software Inc., Los Angeles, CA).

At one standard deviation below the mean of perceived atmosphere, the change between T1 and T2 is negative for the psychological and the physical domains (estimate = -.106, p = .009 and estimate = -.074, p = .10; marginal significance), but not for the social and the environmental domains (estimate = -.141, p = .11 and estimate -.009, p = .867, respectively) (Fig. 2 ).

The combined effect of the two variables, just marginally non-significant ( p < .10), is smaller in magnitude than the independent effect of deprivation, reflecting the statistical averaging of the two effects, contrary to Hypothesis 1a.

Variables were retained for final multivariable models if they were either at least of marginal significance ( p -value < 0.10) or played a confounding role (the variable had a noticeable impact > 10% change on the effect estimate).

Female participants, individuals using insulin and those with a history of stroke showed a trend toward being less likely to rate their health as positive (0.05 < P-value < 0.10).

The size of the full yingchou network was still marginally significant ( p < 0.10) in Model 3, and participants’ age was significant ( p < 0.05), with older participants less likely to report commercial sex in the past year.

For all analyses, the significance was set at p < 0.05, and a trend towards significance was noted when p < 0.1.

Borderline significance (0.05 < P < 0.1) was found in the comparison of urinary 8-OHdG levels between male and female control subjects, electroplating workers with different alcohol consumption status, as well as in the comparison of Olive tail moment and tail DNA% between male and female electroplating workers and among different age groups of electroplating workers.

The influence of the level of breaks at work and attitudes towards interrupting sitting at work was borderline significant (P < .10; see Table 3 ).

Carer and householder variables showing moderately significant (p < 0.10) associations with reported gambling problems were then used to develop multivariable adjusted model for carer report of gambling problems.

Statistical significance was set at the p = 0.05 level and borderline significance was set at p ≤ 0.10 for all tests.

In these tests age, sex, and co-morbidity will be included as covariates, in addition to those other potentially confounding variables that will show an at least marginally significant (p < .10) difference between groups.

Variables with Associations of Borderline Significance (0.05 ≤ p < 0.10) ​​ WindU10 ( β = -2.18, p = 0.052; OR = 0.11) showed a negative association with a trend towards significance.

However, in Model III, the mediation effect approached significance (B = 0.043, t = 1.330, p < 0.10), suggesting that in low-density, large campuses, convenience may play a more substantial role in mediating the relationship between depression and perceived restorative effects.

The difference between odds ratios based on residency approached but did not reach significance ( z = 1.65, p = 0.10), with a non-significant greater rate of increase of extreme dieting found in the metropolitan areas.

[ 33 ] found a positive association (reported by authors as marginally significant at p < 0.10) between exposure to post hurricane-related (Hurricanes Katrina and Rita in 2005) stressors and increased AU in individuals with a history of low income (estimate = 58.41, standard error (SE) = 31.45), but not among individuals with a history of middle income.

Odds ratio values varied between 1.10 and 1.23 and were statistically significant (p<.05) in fifteen cases, borderline significant (p<.10) in two cases and not significant (p=.15) in one.

All covariates were tested in the model but only those that achieved or approached significance (p < 0.10) were retained.

In Model I, the mediation effect was not significant (B = 0.004, t = 0.888), while in Model II, the mediation effect was marginally significant (B = 0.012, t = 1.596, p < 0.10).

Because the sample size is small, associations with borderline significance (0.5 < p < 0.10) are also reported.

Variables that were significant or approaching significance with p ≤0.10 in their respective univariate models were considered as covariates in the multivariable models.

For both multivariate logistic regressions, we retained significant or near-significant univariate predictors ( p < .10), and we forced the following variables into the model: age, food insecurity, and number of children.

Statistical significance was set at p < 0.05 but because of the relatively small sample size, marginally significant results ( p < 0.10) were also reported.

On the other hand, those belonging to other castes had 0.809 times lower chances, suggesting a modest decrease in the probability of receiving JSY benefit compared to the ST category, which was marginally significant ( p < 0.1).