To ensure that gender differences in the risk of psychiatric comorbidities were not due to sociodemographic correlates or to gender differences in the distribution of psychiatric disorders in the general population, the association between gender, AD, and comorbidity was examined using additional logistic regression models. These logistic regression models used each psychiatric disorder as the outcome variable, and included gender, lifetime AD, and their interaction as predictors. These models also adjusted for sociodemographic characteristics. Similarly, models examining treatment-utilization behaviors also adjusted for sociodemographic characteristics, to ensure that the gender differences in treatment-utilization patterns were not due to the differential distribution of sociodemographic characteristics across genders.
