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In a bivariate analysis we found no significant gender differences regarding the total number of diseases.
In bivariate analysis, we found that interior renovation was associated with higher B-Pb (p = 0.02).
After bivariate analysis, we found that older residents in rural areas have a higher probability of receiving influenza vaccination than residents in urban areas.
In bivariate analysis, we found that ferritin was statistically associated to serum inflammatory markers and alcohol consumption, although the association was weak (Kendall's r = 0.252 with ESR, 0.279 with CRP and 0.235 with ALAT, p < 0.001).
In the bivariate analysis we found an association between dropouts and lower education, suicide attempts and comorbid substance use disorder, of which lower education and suicidality remained statistically significant also in the multivariate analysis.
Upon bivariate analysis we found no correlation between sRANKL and BMD, this finding is in agreement with that of Trofimov et al. and Oh et al., but in disagreement with the findings of Stern et al., who reported an inverse association between RANKL and BMD [ 12, 13, 16].
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Using a bivariate statistical analysis, we found that the correlation between the increase in CrxGFP donor age and the amount of integrated GFP-expressing photoreceptors was highly significant (P < 0.001) (Supplementary Material, Fig. 2 C).
For bivariate analysis, we included the trait TG as well.
After bivariate analysis, we conducted a multivariable analysis.
After bivariate analysis, we conducted a multivariable analysis using forward selection techniques.
For bivariate analysis, we computed odds ratios and confidence intervals using the trend chi squared test.
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