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Variables significant (p < 0.1) on univariate analysis were selected for inclusion in the multivariable model.
Only variables significant (p < 0.05) on univariate analysis were included in final models.
For variables significant (P ≤ 0.1) on univariate analysis, a forward multiple regression analysis was performed.
Variables significant (P value <0.05) in the univariate analyses, other than those for the previous 6 months, were included in the multivariate models with participant's age, income, education level, marital status, and current employment being fixed in the models.
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Recent SCD in the family was the only variable significant (p = 0.03).
Multivariate analyses using logistic regression included variables found significant (P <.10) in bivariate analyses and controlled for 7 other variables we identified as theoretically important.
Bolded variables significant at p < 0.05.
Multivariable models present only those variables significant at p < 0.05.
The final model included only variables (or categories of variables) significant at p <.05.
Variables significant at p < 0.10 in univariate analyses were entered into the model.
Multivariate regression analysis included all variables significant at P <.05 in the univariate models.
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