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. Author manuscript; available in PMC: 2013 Apr 1.
Published in final edited form as: Arch Gen Psychiatry. 2011 Dec 5;69(4):372–380. doi: 10.1001/archgenpsychiatry.2011.160

Table 3.

Proportions of Associations Between Individual Sociodemographic Variables and DSM-IV and Composite International Diagnostic Interview Disorders That Are Significant at the α = .05 (2-Sided Test) Level in Bivariate and Multivariate Logistic Regression Equations in the Total Samplea

%
Prevalence
 Prevalence Ratio
Sociodemographic Variableb 12-mo 30-d 12-mo/Lifetime 30-d/12-mo Total
Age
 Bivariate 25.0 50.0 25.0 18.7 29.7
 Multivariate 37.5 43.7 18.7 37.5 34.3
Sex
 Bivariate 75.0 50.0 37.5 12.5 43.7
 Multivariate 68.7 50.0 37.5 6.2 40.6
Race/ethnicity
 Bivariate 31.2 37.5 6.2 12.5 21.8
 Multivariate 31.2 31.2 12.5 18.7 23.4
Parents’ education
 Bivariate 56.2 43.7 18.7 12.5 32.8
 Multivariate 18.7 31.2 25.0 25.0 25.0
Family income
 Bivariate 31.2 25.0 18.7 12.5 21.8
 Multivariate 31.2 18.7 25.0 18.7 23.4
No. of biological parents living with adolescent
 Bivariate 81.2 50.0 25.0 12.5 42.2
 Multivariate 81.2 50.0 25.0 12.5 42.2
Birth order
 Bivariate 37.5 37.5 12.5 37.5 31.2
 Multivariate 25.0 12.5 12.5 18.7 17.2
No. of siblings
 Bivariate 56.2 62.5 37.5 31.2 46.9
 Multivariate 37.5 12.5 6.2 18.7 13.1
Urbanicity
 Bivariate 12.5 0.0 12.5 6.2 7.8
 Multivariate 6.2 12.5 12.5 12.5 10.9
Region
 Bivariate 31.2 31.2 0.0 37.5 25.0
 Multivariate 25.0 50.0 6.2 31.2 28.1
Total
 Bivariate 43.7 38.7 19.4 19.4 30.3
 Multivariate 36.3 31.3 18.0 20.0 26.4
a

Each bivariate equation includes a single sociodemographic variable to predict 1 of the 16 DSM-IV or Composite International Diagnostic Interview disorders in 1 of 2 time frames (12-month and 30-day prevalence) in the total sample or in 1 of 2 prevalence ratios in subsamples (12-month prevalence among lifetime cases, 30-day prevalence among 12-month cases). This results in a total of 64 bivariate equations (each of 16 disorders in each of 4 time frames) for each sociodemographic variable. Each multivariate equation includes all 10 sociodemographic variables to predict 1 of the 16 disorders in 1 of the same 4 time frames, again resulting in 64 associations involving each sociodemographic variable. Sex is the only dichotomous sociodemographic variable. The others have either 3 categories (eg, 0, 1, or 2 biological parents living with the adolescent) or 4 categories (eg, residence in 1 of the 4 census regions: Northeast, Midwest, South, or West), which were treated as a series of 2 or 3 dummy predictor variables in logistic regression equations. The statistical significance of each association was evaluated using Wald χ2 tests with c – 1 df, where c represents the number of categories in the predictor variable. The entries in the table represent the proportion of times this χ2 test was significant at the α = .05 (2-sided test) level using design-based significance tests. While diagnoses of most disorders are based exclusively on adolescent reports, parent reports are used to make diagnoses of major depressive disorder or dysthymia, oppositional-defiant disorder, conduct disorder, and attention-deficit/hyperactivity disorder. The first 3 of these 4 were assessed in the full parent self-administered questionnaire (n = 6483), whereas attention-deficit/hyperactivity disorder was assessed in both the full self-administered questionnaire and the short-form self-administered questionnaire (n = 8470). As a result, prevalence estimates of any mood disorder, any behavior disorder, any disorder, and number of disorders are based on 6483 cases.

b

See the text for a description of the response categories in each of the sociodemographic variables.