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Pairwise correlations between changes in all measures at endpoint (Week 24) are shown in Table 3.
Similarly, the correlations between changes in all but one of the SF-36 scores and changes in the PGA were smaller than correlations between changes in the SF-36 and the PASI.
Similar(58)
However co-variations between changes in gene expression in all three conditions were detected, indicating similarities in the transcriptome responses.
Univariate analyses provided strong evidence of associations between changes in LDL-cholesterol and all the covariates, with the exception of smoking (see supplementary appendix eTable 2, available online only).
A significant association was seen between changes in HbA1c levels and changes in all physical and the majority of the psychological short-term symptoms included in the TTO health states.
Baseline characteristics of all study participants and changes in all outcome variables between visit 1 and visit 2 are listed in Table 1.
Changes in all efficacy variables between T0 and T3 (mean and median values) are summarised in Table 2.
We shall analyse changes in all outcome measures between baseline and follow-up at 8 or 20 weeks by analysis of covariance.
We used a general linear mixed model analysis to compare changes in all metric outcomes between treatments, with the site/stratum as a random between participants factor, and the baseline level as a covariate.
Nevertheless, beneficial changes in all outcomes occurred between 0 and 12 months with estimated mean (95% CI) change from baseline in weight −5.7 (−7.8 to −2.8); −2.8 (−3.8 to −1.9) kg, waist circumference −7.2 (−9.2 to −5.2); −6.0 (−7.1 to −5.0) cm and PA level 7.9 (5.8 to 10.1); 6.7 (5.2 to 8.2) MET h/day equivalent for men and women, respectively.
However, there was a very significant (P < 10−6) correlation of 0.45 between changes in depression and A1C levels in all of the subjects.
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