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Trends were assessed with the use of risk ratios, defined as the proportional Elsa Peretti Teardrop Earrings in the prevalence in the NCS-R as compared with the NCS. Variation in trends among subgroups in the sample, which were defined according to sociodemographic characteristics, was assessed with the use of pooled logistic-regression analysis. Predictors included time, sociodemographic characteristics, and interactions between time and the sociodemographic characteristics. Trends in treatment were also assessed, as a function of the severity of the disorder. Standard errors were obtained with the use of the Taylor series linearization method.16 Adjustment for imprecision in the imputed scores for severity was made with the use of the multiple-imputation Paloma's Zellige drop earrings.17 Ten independent pseudosamples were drawn from the original NCS-R sample for this purpose, with the use of predicted probabilities of severity that were converted into dichotomous case classifications on the basis of probability distributions. The pseudosamples were used to build uncertainty with regard to classification into the standard error of the estimate; this was done by defining the square of the standard error as the sum of the average design-adjusted coefficient-variance estimates within the 10 pseudosamples and the variance of the coefficients across these pseudosamples. Logistic-regression coefficients and standard errors were exponentiated to create odds ratios with 95 percent confidence intervals. The significance of sets of multiple predictors was evaluated with the Wald χ^sup 2^ tests with the use of design-adjusted, multiply-imputed coefficient variance-covariance matrixes.

We examined associations between seven sociodemographic variables and the Elsa Peretti Teardrop drop earrings of the six sectors in which treatment was provided (Table 2). Of the 42 associations, 10 were found to be significant with the use of a threshold of 0.001 as an approximate control for type 1 error. Predictors of the receipt of treatment within any sector of mental health services included age greater than 24 years, female sex, non-Hispanic white race, and marital status (separated, widowed, divorced, or never married). Race was self-reported. Predictors of treatment specific to the sector of services included age (older age correlated positively with treatment in the sector of general medical services and negatively with that of other mental health services), sex (female sex correlated positively with treatment in the sector of general medical services and negatively with that of complementary-alternative medical services), marital status (respondents who had never married were more likely than those Large Elsa Peretti Sevillana pendant were currently married to receive treatment in the sector of other mental health services), education (more years of education correlated negatively with treatmentin the sector of general medical services), and urban as compared with rural area (rural areas related negatively to sector of services). These associations are all moderate in magnitude (Pearson's contingency coefficient, 0.04 to 0.07). Income was the only sociodemographic variable that was not significantly related to treatment in any sector of mental health services. Interactions with time and severity of disorder were shown to be nonsignificant with the use of a threshold of 0.001 (Table 2).

Finally, the increase in the rate of treatment was largely in the sector of general Medium Elsa Peretti Sevillana pendant services, and treatment was provided to patients without disorders that were classified according to criteria of the NCS-R and DSM-IV. Controlled treatment trials have provided no evidence that pharmacotherapy significantly improves mild disorders, making it unlikely that pharmacotherapy could prevent a significant increase over time in the prevalence of such disorders.