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Multivariate adjustment suggests that the association of HT with improved sleep is independent of these factors.
Although the age-adjusted findings in our two cohorts are somewhat more consistent with previous positive results, multivariate adjustment suggests considerable confounding in this relation.
The mechanism behind this association is not clear but multivariate adjustment suggests that the beneficial effects of HT are not explained by other behavioral, aging- and health-related variables.
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But our data, particularly with multivariate adjustment analysis, suggested that those who were more recently qualified may have lower competency levels than those who had a number of years with previous experience in practice.
However, after multivariate adjustment and subgroup specific analyses, the treatment effect remained, suggesting that these differences may not have a major effect.
However, after multivariate adjustment, this association was no longer significant, with a multivariate adjusted HR of 1.11 (95% CI 0.87 1.41).
These estimates also shifted towards the null after multivariate adjustment.
After multivariate adjustment, the linear relationship was still present.
Multivariate adjustment for confounders was performed with a Cox proportional hazards model.
However, rs2468844 was associated with cIMT only in a recessive model after multivariate adjustment (P = 0.011).
These associations disappeared after multivariate adjustment, especially age adjustment.
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