“a negative trend”

Although a negative trend was observed, the difference did not reach statistical significance ( P = .07).

Vitamin E, which had a significant negative influence in the original study ( P = 0.04), also showed a negative trend in Table 2 (“base model,” P = 0.07).

There was a negative trend between parahippocampal SUVr and PACC scores (β = −2.361, CI: (−4.514, −0.208), p = 0.07).

Absence of these associations in the SSD group may indicate that other factors such as allostatic load, chronic medication use and interrupted educational carrier had larger impact and attenuated the relative contribution of bacterial translocation. bacterial translocation brain volume microbiome‐gut‐brain axis MRI schizophrenia spectrum disorders Stanley Medical Research Institute 10.13039/100007123 18T‐004 Netherlands Organisation for Health Research and Development 10.13039/501100001826 636320010 There was a negative trend between sCD14 and ICV in the healthy controls, ( b = −0.25, p = .07; SSD, b = −0.14, p = .11, adjusted R 2 = 0.28) (Figure 1C ).

However, amount of daily physical activity had a negative trend-level correlation with the CTSD (ρ = −.411, P = .072; Table 2 ).

Having health insurance coverage approached significance, showing a negative trend toward anemia levels ( β = −0.060, SE = 0.033, CR = −1.786, p = 0.074), suggesting a potential link to lower anemia levels among insured individuals ( 44 ).

The efficacy of phytochemicals showed a negative trend with increasing dose (−0.034), although this relationship did not reach statistical significance ( p = 0.075).

Now, the probability of mature sperm being present in the seminal vesicles declined in response to adult heat stress ( n = 336, β = −2.137 ± 0.315, Z = −6.780, p < 0.001), with a negative trend for developmental heat stress ( β = −0.503 ± 0.284, Z = −1.770, p = 0.076) and no effect of thermal tolerance ( β = −0.747 ± 0.582, Z = −1.282, p = 0.200; figure 3 a , electronic supplementary material, table S12).

The correlation of the mean daylight hours/day of the particular months with BPPV occurrence showed a negative trend (ρ = −0.17, p = 0.078), when correlating with daylight hours of the preceding month (e.g., daylight hours in January correlated with BPPV cases in February) the negative correlation reached significance (ρ = −0.21, p = 0.042) with significantly more BPPV cases during darker months.

Furthermore, in an analysis adjusted for sex, age and smoking habits, we observed a negative trend of association between use of Vitamin D and d-ROM (adjusted mean change − 29.7, 95% CI -62.8/+3.4, p = 0.079) and a positive trend with OSi (adjusted mean change + 0.45, 95% CI -0.06/+0.97, p = 0.084).

GIP exhibited a negative trend with desire to eat and composite appetite with borderline significance ( ρ = −0.33 and −0.35, P = 0.08 and 0.05; Extended Data Fig. 5b ), whereas no significant associations were observed between satiety levels and GLP-1 or PYY ( P > 0.05).

Similarly, the groups 45TAU and 30TAU indicated a negative trend, showing the decreased expression of CAT mRNA ( P = 0.08) ( Fig. 4 B).

Additionally, when considering SMS compression tests, total energy absorption significantly positively correlated with LP ( r =0.40, P =0.03) and, as noted, showed a negative trend with HP/LP ( r =−0.33, P =0.08) ( Table 4 ).

In the taVNS condition we observed an indirect positive mediation of HEP increase on the relationship between IAcc and HRV that approached significance (indirect effects = z = 1.84, p = .065), whereas the direct effects of IAcc on HRV showed a negative trend (direct effects = z = −1.73, p = .08).

Neither manifestation alone was statistically significant; although, there was a negative trend for PDV identification in subjects with tics ( p = 0.08).

Although not significant, a negative trend was also observed with haemoglobin concentration and IL-6 (P = 0.082) as revealed in Fig. 1 (b).

For men, a negative trend toward significance was found for the paternal association between changes in BMI and changes in fruit group intake (−0.15 kg/m 2 (0.04), p = 0.083).

Besides, we found a negative trend for PACAP-38 and erythrocyte sedimentation rate (ESR) ( n = 25, p = 0.0833, r = −0.3531), urinary total protein (UTP) ( n = 23, p = 0.0522, r = −0.4191) and serum kappa/lambda ratio (KLR) above 1.65 ( n = 18, p = 0.1144, r = −0.3849), but there was a positive trend with KLR below 0.26 ( n = 8, p = 0.1323, r = 0.5952).

HbA1c percentage indicated a negative trend (B = −0.03, SE = 0.02; Beta = −0.17; t = −1.70, p = 0.085), but this was not statistically significant.

Median income, while showing a negative trend (β = -1.21 × 10 -7 ), did not reach statistical significance (p = 0.086).

Figure 6C shows a negative trend ( R 2 = 0.20; P = 0.09) between the MT amplitude and disease duration in the WM lesions, with the NAGM and NAWM showing no significant correlation.

However, a negative trend was observed between peak latency and discrimination rate ( r (28) = −0.33, p = 0.09), suggesting that longer latency may be associated with lower discrimination rate.

Fourth, although Ogg1 mRNA expression showed a negative trend with human age, this did not reach statistical significance ( P = 0.09); however, activity of candidate proteins such as OGG1, FOXO3A, and LOX are regulated at post-transcriptional levels, and AC-OGG1 was negatively correlated with stiffness.

Module C had a positive trend with BTBT samples and a negative trend with BIBI samples but was not statistically significant ( p = 0.09).

We observed a negative trend-level association between LC intensity and LC ODI (β = −0.277, CI = [−0.589; 0.063], P = 0.092).