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In multivariate analyses, these risk factors explained the higher incidence of insomnia among those with medical conditions such as heart disease, stroke, and diabetes.
In multivariate analyses, these associations remained significant.
In multivariate analyses, these 7 items were unidimensional [ 88].
For bivariate and multivariate analyses, these three categories were merged into two: not widowed (0) and widowed (1).
After adjusting for covariates including stroke etiology in multivariate analyses, these factors showed no statistically significant difference.
In multivariate analyses, these associations remained significant (OR 3.51, 95% CI 1.25 9.99 and OR 0.30, 95% CI 0.10 0.90, respectively) (Table 4).
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Unlike this study, other studies found that a lower performance status might be associated with insomnia [ 4, 11]; however, these results were not confirmed in the multivariate analyses of these studies.
Novel multivariate analyses of these data go some way to characterizing the genetic architecture of anxiety and also to validating the tests that are used for its measurement.
Multivariate analyses confirm these correlations between political participation at origin and remitting behaviors (see Table 8).
The univariate analyses were performed to obtain relevant set of variables for multivariate analyses, therefore these p-values were not corrected for multiple testing.
In our multivariate analyses, however, these factors did not figure, again perhaps a function of time elapsing since the controversy [20], [21] and parents of older children being questioned.
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