“a negative trend”

Tropicals (50 inbreds) however exhibited a negative trend, with small genome inbreds displaying a tendency towards faster growth rate than larger genome inbreds ( r = − 0.26, F (1;48) = 3.35, P = 0.073).

A negative trend was also observed with the duration of dialysis before transplantation, which was inversely associated with the risk of PJP (OR = 0.99; p = 0.073) (Table 2 ). 4.

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 ).

Of all parameters under investigation, only HER2/neu showed negative trend, also, for overall survival (relative risk of 1.92, P =0.074; Table 4 ) after multiple corrections also a negative trend also for overall survival (relative risk of 1.92, P =0.074; Table 4 ).

We also proved 93% probability of a negative trend in the resistance rate of E. coli to amoxicillin/clavulonic acid (r=−0.66; P=0.075) during the study period ( Figure 1 ).

The association of CSF sclerostin with age and education showed a positive correlation with age ( r = 0.243, p = 0.0032) and a negative trend with education ( r = −0.148, p = 0.075). 3.3 Correlation between CSF sclerostin and cognition For the screening tests (Figure S2 in supporting information), the statistical analyses evidenced negative correlations between CSF sclerostin levels and MMSE ( r = −0.304; p = 0.0003), FAB ( r = −0.358; p < 0.0001), and CDT scores ( r = −0.257; p = 0.004), indicating the association between higher CSF sclerostin levels and worse global cognitive measures.

Fig 3C ) there was also a negative trend with CFU-O frequency (p = 0.075, Fig 3D ).

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).

Long-term survival (5-year) was significantly worse after long ECMO support ( p = 0.023) and showed at least a negative trend after an initial greater drop in alkaline phosphatase ( p = 0.076)—see Figure 4 . 4.

A redundancy analysis (RDA) on the OTUs level was performed and no significant differences were found in the microbial populations according to the BMI, only a negative trend could be observed ( P = 0.076).

Finally, a positive trend existed between PrEP use and often contacting PE outside of scheduled visits ( p = 0.094), recent transactional sex and PrEP use ( p = 0.081), and daily users with a difficult or very difficult financial situation ( p = 0.085), while a negative trend existed between PrEP use and having had 5 + sexual intercourses with casual male partners in the previous month ( p = 0.078).

Interestingly, in the PETACC data, which also included non-liver relapses, the score was not associated with relapse in general (logOR = 0.00, 95% −0.57 to 0.57, P = 0.98), while relapse to non-liver sites was a negative trend (logOR = −0.65, 95% −1.39 to 0.06, P = 0.078).

5 ; Table S8 ) and a negative trend in the corresponding treatment for the isolates from Roxel isolated in 2012 ( P = 0.078).

AVR had a statistically significant negative association with BMI (β = −0.269; p = 0.033), alcohol consumption (β = −0.488; p < 0.001), exercise (β = −0.245; p = 0.008) and the type of camera used (−0.177; p = 0.036) but also a negative trend with HTN (β =−0.241; p = 0.078) (fully adjusted model for confounders).

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.

A negative trend for long-term VL suppression was observed for African Americans compared with Caucasians, but this association was marginal (OR 0.53, 95 % CI 0.25, 1.07; p = 0.079).

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).

In contrast to that in the control valley, the linear regression calculated from 1998 to 2017 showed a negative trend (β = –10.06; R 2 = 0.16; p = 0.07965).

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 ).

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

( 2020 ) found that exposure to NSAIDs (−365 to −14 days prior to baseline) was modestly associated with increased likelihood of COVID‐19 infection (multivariable odds ratio [OR] 1.27, 95% confidence interval [CI] 1.02–1.58), was not associated with hospitalisation ( P = 0.19), and had a negative trend of association with intensive care ( P = 0.08).

There was a negative trend between hospital baseline NFL and RVP A-prime z-score at scanning visit (rho = -0.48, p = 0.08).

In epileptic patients, hippocampal IBA1 expression showed a negative trend with age ( r = −0.48, p = 0.08), and a similar inverse trend was observed between amygdala caspase‐12 expression and age ( r = −0.48, p = 0.08; Figure 4B ).

Active engagement was positively associated with well-being ( β =0.12, 95% CI 0.04-0.20; P =.006), passive engagement showed a negative trend ( β =−0.08, 95% CI −0.18 to 0.02; P =.08), and institutional engagement was not significantly associated with well-being ( β =0.07, 95% CI −0.01 to 0.15; P =.11).

= −0.02, P = 0.24); however, there was a negative trend between ∆%BF and ∆esRAGE concentrations ( P = 0.08), suggesting the possibility that an increase in esRAGE concentrations may be associated with greater changes in %BF.