Excerpts

Due to the lack of any significant effect of fructose feeding, data were pooled ( n = 10) and analysed by Spearman’s correlation analysis (data not shown), which revealed a highly significant within-subject correlation between intestinal and hepatic fractional DNL values in both the fasted (ρ = 0.939, p < 0.0001) and postprandial states (ρ = 0.818, p = 0.004), indicating a strong association between these two parameters. 3.4.

There was a highly significant ( p < 0.0001) effect of diet on body weight independent spleen weight.

The correlation between food items/categories and ITMI was positive and highly significant ( p < 0.0001, except for dairy p < 0.01) for pasta, vegetables, fruit, legumes, fish, EVOO, and dairy products; while it was negative and significant for potato, butter, soft drinks, red/cured meat, and sweets with Pearson’s coefficients ranging from 0.10 (dairy) to 0.49 (vegetables) and from −0.20 (potato) to −0.41 (soft drinks) for positive and negative correlations, respectively.

Results: Correlation coefficient between the levels of micro/macronutrients obtained by Nutrilog© and Nutricate© software were highly significant ( p = 0.0001) and were well-correlated (R coefficient > 0.6), indicating a very good concordance between the two methods.

Indeed, miR-101-3p showed a significant trend with all parameters analyzed, negatively correlating with intrahepatic triglycerides ( p < 0.0001; Figure 3 A), hydroxyproline concentration ( p < 0.0001; Figure 3 B), and Red Sirius positive areas ( p < 0.0001; Figure 3 C).

FAS), we observed a marked and highly significant impairment of vascular function in the HFrD groups compared to their non-HFrD counterparts ( p < 0.0001 for all comparisons).

This overall difference between the products was statistically highly significant ( p < 0.0001). 3.3.

In European Americans, we found highly significant effects ( p < 0.0001) in the second and highest tertiles compared to the lowest tertile.

Weak negative and positive trends were observed between “Junk food” (rho = −0.19, p = 0.003) ( Figure 4 D) and “Beans” (rho = 0.17, p = 0.008) ( Figure 4 E), respectively, and EPA levels, although their p values did not reach statistical significance using the cutoff point of p = 0.00016.

A clearly significant difference between the two groups could be noted (F(1, 204) = 14.2; p = 0.0002).

Applying repeated measures of variance methodology, a highly significant difference could be seen (F(1, 204) = 14.3; p = 0.0002) ( Figure 2 ), where those on active treatment exhibited higher e-GFR as a result of the treatment.

The difference was highly significant ( P = 0.0002, Student t test, 2-tailed).

The interaction between protein content and MD supplementation was considered highly significant for both genes ( p = 0.0003 for Nestin , p = 0.0001 for Gfap , two-way ANOVA).

The difference between the groups at T12, as well as the difference between the relative changes in skin hydration of both groups proves to be highly significant ( p < 0.0004) in favor of the test product.

Conversely, when only products containing 50% or more nuts and seeds were evaluated, the changes in score when compared with the original HSR scores were highly significant for all scenarios ( p value = 0.0004, 0.0013 and 0.0098 for scenarios S1, S2 and S3, respectively).

The between-group comparison confirmed a highly significant difference ( p = 0.0006), suggesting a notable effect of CKDB-322 on leptin regulation.

The 2 h postprandial glucose level was 7.03 ± 2.20 mmol/L in Caucasians and 8.11 ± 2.17 mmol/L in South Asians, showing a highly significant difference ( p = 0.0007). 3.4.

When comparing percent change in weight and fat mass with baseline variables to identify potential predictive biomarkers, one MS peak was marginally significant in the full analysis, α-aminoadipate (R 2 = 0.29, p = 0.0007).

The deletions of 10q11.22 (CNV_4) demonstrated a highly significant association with the risk of childhood obesity in our study ( p = 9.1 × 10 −4 ).

The differences were highly significant: p < 0.001 for 25(OH)D and p = 0.003 for PTH (Wilcoxon rank sum test).

The ORs were 0.24 (95% CI = 0.11–0.52) for anthocyanidins and 0.18 (95% CI = 0.08–0.42) for flavanones, both with a significant trend ( p < 0.001).

One-way ANOVA revealed a highly significant effect of lifestyle on attitudes of women toward milk donation ( F (2, 1220) = 601.2383, p < 0.001) (see Table A5 b).

Here, the study group did not retain its significance ( p = 0.631), while ST performance was highly significant ( p < 0.001).

A highly significant association was found between PA1-6 and PA-pre ( p = 0.001).

In 112 consecutive patients, we found a highly significant correlation of baseline creatinine with NUTRIC (r s = 0.500, R 2 = 0.167, p < 0.001) and mNUTRIC (r s = 0.517, R 2 = 0.175, p < 0.001) on admission to ICU.