The level of education (bac, secondary, primary) also had a significant negative effect on the latent variable compared to the highest level of education, as well as the occupational status of the father (unemployedF), while, inversely, the occupational status of the mother (unemployedM) was positively associated with FFGC (it is borderline significant: p -value = 0.04). 3.3.
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borderline significancep = 0.04
CMT improved OS with borderline significance (HR: 0.15, 95% CI: 0.03–0.89, p = 0.04) compared to RT. 3.4.
The relationships with socio-economic status and incompleteness of the family have been shown, as well as the marginally significant higher frequency of respiratory system diseases (bronchitis, pneumonia) during the last year in children exposed to ETS ( p = 0.04).
marginally non-significantp = 0.052
However follow up bootstrap p values (based on 500 iterations) showed that the two cluster solution was marginally significant ( p = 0.04) whereas the three cluster solution was marginally non-significant ( p = 0.052) with the latter therefore a better fit to the data.
There was a slightly significant ( p = 0.04) reduction of the BMI in the post-op period (from 29.06 ± 4.53 to 27.65 ± 3.45).
Only the highway + railway combination exhibits a weakly significant non-linear component ( p = 0.0407).
A marginally statistically significant association was found in older adults between higher proportions of sleep and higher resting heart rate ( p = 0.041).
The mean age at enrolment was 65.5 ± 46.3 days, with a slightly significant difference among groups (F = 3.327; p = 0.042).
In the case of an overbite, a clear trend emerged in which patients with increased overbite had an increased likelihood of bracket loss ( p = 0.042).
AUDIT global scores showed a slightly significant relationship with the results in ASA’s Ability component (rho = 0.083, p = 0.043; Spearman test) and with age (rho = −0.082, p = 0.045; Spearman test) ( Figure 1 B).
The outcomes revealed that only BMI was statistically significant ( p = 0.020) in the case of consumption as common use, while marital status was borderline significant ( p = 0.043) in the case of MAPs consumption for health disorders.
The average morphine use per patient [median (25–75th interquartile range)] was lower in the tDCS group [77.00 (54.00–123.00) mg] compared with the sham group [112.00 (79.97–173.35) mg] and the observed difference is highly significant ( p = 0.043).
Moreover, when introducing the second block, hedonic balance related to students showed a slightly significant effect ( p = 0.044) on job satisfaction. 3.
Multivariate Poisson regression analysis after adjustment for variables, such as age, sex, education level, household income, marital status, children at home, alcohol consumption frequency, comorbidity of hypertension, dyslipidemia, and diabetes confirmed by medications, history of cancer, coronary artery disease, or cerebrovascular disease, chronic cough of more than 3 months, self-rated health status, and depressive mood in the past 2 weeks, showed that dual users with CC and e-cigarette attempted to quit CCs more than exclusive cigarette smokers in the past 1 year, with marginal significance (aPR = 1.20, 95% CI 1.00–1.44, p = 0.044).
Those who use the SUS more frequently also showed a positive trend (very good or good) regarding their perception of the quality of services, unlike those who reported using the services less often ( p = 0.045).
Subsequent univariate tests showed a significant Group X Time interaction for condition 1 test scores, F (1, 68) = 15.4, p < 0.001, partial η 2 = 0.19, power = 0.97, a non-significant Group X Time interaction for condition 2 test scores F (1, 68) = 0.38, p = 0.54, and a marginally significant Group X Time interaction for test condition 3 scores F (1, 68) = 4.17, p = 0.045, partial η 2 = 0.06, power = 0.52.
In addition, stratifying by age also shows an increasing trend of ED visits, with a significant increase for PwD aged ≥85 from the first to the second year ( p = 0.0458) ( Figure A1 ).
The Spearman rho correlation coefficient of soil sampling location and land use was slightly significant (R = 0.141, p = 0.046).
In our sample, age emerged as a marginally statistically significant predictor ( p = 0.046), with each additional year associated with a 0.07-point decrease in personhood beliefs.
ANOVA for wayfinding (maze) self-efficacy (adjusting for baseline score) yielded a group effect, F (1, 24) = 4.42, that did not reach statistical significance upon correcting for multiple comparisons ( p = 0.046, partial η 2 = 0.156).
For net affect, the p values of the estimates at 12:00 and 13:00 were borderline significant ( p = 0.047 and 0.046, respectively).
There was also a significant trend ( p = 0.047) towards increasing PWVba in the CG, Ele, and HTN groups.
The evidence related to a statistical significance for systolic BP with a p -value at a marginal significance level ( p = 0.047) might be due to insufficient power, which did not allow us to detect a significant effect.
The prevalence of undernourishment was marginally significant in Model 1 ( p = 0.047) but not in Model 2.
Meanwhile, our patients undergoing thoracic surgery had no significant difference in mild pain ( p = 0.083) and a marginally significant difference in moderate to severe pain ( p = 0.048) in comparison of patients undergoing surgery of skin and connective tissue ( Table 2 ), which might have resulted from the intraoperative intercostal nerve block prescribed in patients undergoing thoracic surgery.