Variables measuring gender, age, marital status, education, and household income were included in multivariate models as controls. Marital status was a binary variable (1 = currently married, respectively). Education and age were coded in years, and household income was coded in tens of thousands of dollars and logged to correct for positive skew. Age was later converted to tens of years to facilitate interpretation of odds ratios. Because alternative coding strategies for socio-demographic control variables (e.g. categorical education, additional marital status dummy variables, etc.) did not alter the effects of key variables of interest, the simplest forms were retained in final models.
