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Table 3 Bivariate associations (Pearson's r) between study variables in individuals with bipolar disorder (n = 53)   EmoBio   Symptoms YMRS −0.08 ns IDS-Ca 0.07 ns GAF-s 0.00 ns Functioning GAF-f 0.12 ns SFS totalb 0.15 ns UPSA-Bc 0.48 p < 0.001 Cognition WASI 0.21 ns MCCB totalc 0.33 p = 0.017 a n = 48, b n = 51, c n = 52.

Bivariate correlations between study variables in tissues were calculated by Pearson's rank correlation coefficients.

To test and assess association between studied variables in each parcel (Groups 1 and 2), Pearson correlations were used for parametric data and Spearman correlations were used for non-parametric data.

Correlations between study variables are presented in Table 3. Results from regressions on healthy eating (i.e., vegetable consumption) and unhealthy eating (i.e., SSB consumption) are presented in Tables 4 and 5, respectively.

Associations between study variables and resilience were tested in unadjusted analyses; those significant at p < 0.1 were included in multivariate models.

Comparison between study variables and frailty profiles is given in Table 3.

Moreover, the results elucidate the association between blood metal levels and the study variables in infertile women.

No statistically significance differences were found between the groups' characteristics and the study variables in 2010.> Analysis of staff members' reflections on the e-assessments and subsequent e-training program resulted in two main categories: "Obstacles/Barriers" and "Enablers", each of which were derived from three sub-categories.

Except for age, there was no statistically significant difference between the studied variables in the two groups.

We did not identify colinearity between any combinations of the studied variables in these models.

The results of comparison of the Ramadan/Control Ratios between the study variables are presented in Table 2.