“a negative trend”

The uronic acid content showed strong negative trends with the ABTS + · scavenging rate (r = −0.775) and FRAP value (r = −0.928), as well as a negative trend with the MUC5AC protein concentration, with a correlation coefficient of −0.480 (all p > 0.05).

A negative trend between N100 amplitude and disease duration was also detected (r = −0.468, p = 0.050).

In slow and rapid progressors who did not develop AE the number of total leukocytes (CD45 + ) was positively correlated to the yearly decline in FVC (r = 0.52, p = 0.005) and showed a negative trend with the duration of symptoms before diagnosis (r = -0.35, p = 0.05).

Correlation analysis revealed a significant negative correlation between the Treg proportion and the abundance of Ruminococcus torques ( r = −0.55, p < 0.05), while other microbiota showed a negative trend without statistical significance ( p > 0.05).

In cigarette smokers, the number of pack years showed a negative trend with the CSS (Spearman's rho = −0.252; P = 0.05), but there was no significant influence of smoking habits on CAS.

A negative trend was noted for serum urea and creatinine with poorer appetite ratings from very good to poor ( P < 0.05).

A negative trend towards an association between D-lactate and IL-8 production was also observed in these co-cultures (rho = −0.4971; p = 0.0501).

There was no significant influence by the federal states themselves but we observed a positive trend (towards high LDL-C levels) for Burgenland ( p = 0.051) and a negative trend (towards low LDL-C levels) for Salzburg ( p = 0.052).

When computing the correlations across mindsets, two correlations reached significance: a negative trend-significant correlation was found between food intake and the Health item, r (66) = – .24, p = .051.

Our findings revealed a negative trend between IL‐6 and protein C levels ( r = −0.16; p = 0.051).

BAL neutrophil percentage was retained in the final model since it improved model fit, and, although statistical significance was not reached, a negative trend of association with the number of wins was observed ( p = 0.051).

After surgery, we found there is a positive trend of Iba1 expression along with a negative trend in surface area compared to sham ( p = .0511 and p = .0921, respectively; Figure 6C,D ).

A correlation analysis showed a negative trend between DAPK1 and CaMKII expressions ( R 2 = 0.3224, p = 0.0514), suggesting that DAPK1 may contribute to the downregulation of CaMKII in diabetes, although this relationship did not reach statistical significance (Figure S2D , Supporting Information).

BMI showed a negative trend decreasing chances of success by 18% per increase of one unit in BMI (p = 0.052, univariate logistic regression and Wald test, Table II ).

However, in the current study, the waist-to-height ratio of anthropometric index showed a negative trend with sperm concentration with only borderline significance ( p = 0.052) and a statistically inverse association with normal sperm morphology ( p = 0.004).

A negative trend between RTL and age were found in the case group (ρ= − 0.10, p=0.052).

Finally, physical strength had a negative trend prediction on sitting time (β = −0.05, p = 0.052).

However, a positive association between CPM and placebo effects [ r (15) = 0.545, p = 0.02] is present in nonathletes, and a negative trend is observed in athletes [ r s(14) = −0.497, p = 0.052; see Figure 6B ].

Strikingly, the interaction between being a woman and having obesity showed a negative trend in GDF15 serum levels (β = −0.47, CI = −0.95, 0.00, P = 0.052).

During the probe period, however, stronger face evidence scores were associated with more accurate responses to the face probe (20–24 s, P =0.013); a similar trend was present for the relative face–scene scores (that is, a negative trend for scene–face; P =0.052).

Also, the correlation between the two parameters did not reach significance, but showed a negative trend ( r = -0.34, p = 0.052 , 95% CI from -0.61 to 0.002).

A negative trend was found in the correlation between MD of the NbM tract to the temporal lobe ( r = 0.67, P = 0.052, FDR corrected).

Under further consideration of age, sex, repetitive measurement and insulin-infusion rate we found GLP-1 to significantly predict changes of C-peptide concentrations over time (P = 0.007) while a negative trend was found for insulin-infusion rate (P = 0.0524) (Table 4 b).

In comparison, the expression of PPARγ in the cytoplasm is associated with a negative trend in overall survival ( Figure 4 , image B, p = 0.053). 3.4.

The only sex-related signal was observed in the time × sex interaction, which showed a negative trend (−0.243 points/month; SE: 0.125; t = −1.94; df = 366.964; 95% CI: −0.489 to 0.003; p = 0.053).