Excerpts

The difference between men and women with type 1 diabetes was statistically almost significant ( p = 0.083 ).

Compared with unemployed or marginally employed caregivers, those with part-time employment reported in the context of a statistical trend slightly better mental health (β = 0.032, p = 0.084), and those with full-time employment reported significantly better mental health (β = 0.077, p < 0.001; Table 2 , Model 1).

In contrast, profiles like UC3 (expecting to have a secure life) show a positive but marginally significant moderation effect on ACEF when interacting with verification status ( UC3 × VS , 0.017, p = 0.084), indicating a slight increase in engagement for users who prioritize security.

A within-group increase of Total PA among children whose mothers had higher enjoyment approached near significance ( p = 0.084).

A marginally significant finding ( p = 0.085) indicated that male oncologists obtained higher scores with respect to instrumental coping and emotional-cognitive manifestations than did female oncologists.

The comparison yielded a statistical trend for a difference between obtained estimates ( p = .085), indicating that the associations tended to be stronger in adults, compared to associations obtained for children/adolescents.

Comparative analysis further revealed that eyes with high myopia exhibited significantly elevated levels of NEU%, NLR, and PLR, along with a decreasing trend in lymphocyte percentage ( P = 0.0853), when compared to those with low or moderate myopia (Fig. 7 A-D).

In a sensitivity analysis of participants age 70 years and over, there was a borderline significant ( p = 0.086) HCTZ use by high sun exposure interaction, suggesting modestly increased HCTZ risk in older, high sun exposure adults.

SCMHC score differences between education groups approached significance (F[2, 312] = 2.46, p = .087, partial η 2 = .015).

Higher classroom emotional quality predicted lower cardiometabolic risk in adulthood at the level of a statistical trend (β=-0.110; 95% CI: -0.237, 0.017; p =.088).

EHO biases analysis The initial logistic regression model using subset A with EHO as a predictor and exposure source as an outcome was marginally significant (Wald test, p = 0.0885).

For wheezing frequency (Model 1), the association with each exposure is generally in the anticipated direction but is only marginally significant for last-minute timing changes (8 percentage points, p =.089).

Women who transitioned to retirement reported marginally significant increases in GDS scores (β = 0.32, 95% CI: -0.04–0.68, p = 0.09).

3.16, p = 0.05), with borderline significant differences on the peer subscale (4.11 vs. 3.56, p = 0.09).

Individuals aged ≥ 40 years also had greater but non-significant increases in FT4 level than those aged < 40 years with the computed statistical probability value approaching significance ( p = 0.090, Figs. 4 and S4).

Noticing the labels at least once in a while between pre- and post-policy was not significant among the SLT quitters, but there was a statistical trend towards a decrease in noticing the HWLs on SLT packaging at post-policy ( p = 0.09).

Borderline significant (0.05 < p < 0.09) were the following factors: having had CAI with 1 to 5 partners in the last 6 months,, and any current PrEP use (see Table 2 ).

Our study, however, showed that PAD had only a marginally significant association with smoking (p value = 0.09).

Physical safety and security also showed a positive trend (median: 3.00, IQR: 1.00, 4.00, p = 0.09).

This approached significance by depressive symptoms ( p = .09), with slightly more contacts required for participants with depressive symptoms (2.1) than for participants without (1.8).

Although those with college or higher educational attainment were more likely to use HTPs, this relationship was marginally significant ( p = 0.09).

For positive mood state, there was a marginally significant theme × message × time linear interaction ( F (1, 10) = 3.48, p = .091, η p 2 = 0.26).

Ethnicity approached significance with the chi-square test showing (Χ2=4.761, p = 0.092, Crammer’s V = 0.052), suggesting a potential influence; however, this was not confirmed in the logistic regression analysis.

Expenditures on laboratory tests presented only a marginally significant association (decreased odds of 62%; p = 0.092).

The relationship between knowledge and Mets was borderline significant (p=0.093).