Table 5.
Specification a† |
Specification b‡ |
Specification c§ |
||||
---|---|---|---|---|---|---|
Risk Diff. | 95% CI | Risk Diff. | 95% CI | Risk Diff. | 95% CI | |
Regressions with A2 predictor variable = Any disorder | ||||||
Any A2 disorder | 0.05*** | [0.03,0.06] | 0.04*** | [0.02,0.05] | 0.03*** | [0.01,0.04] |
Regressions with A2 predictor variable = Number of disorders | ||||||
1 A2 disorder | 0.05*** | [0.03,0.07] | 0.04*** | [0.02,0.06] | 0.04*** | [0.02,0.06] |
2 + A2 disorders | 0.05*** | [0.02,0.07] | 0.03* | [0.01,0.05] | 0.01 | [−0.01,0.03] |
Regressions with A2 predictor variable = Type of disorder | ||||||
Paranoid | −0.03 | [−0.06,0.00] | −0.03 | [−0.06,0.00] | −0.03* | [−0.06,−0.00] |
Schizoid | 0.02 | [−0.03,0.06] | 0.01 | [−0.03,0.06] | 0.01 | [−0.03,0.04] |
Schizotypal | 0.03 | [−0.00,0.06] | 0.02 | [−0.01,0.05] | 0.00 | [−0.03,0.03] |
Antisocial | 0.02 | [−0.01,0.05] | 0.01 | [−0.01,0.04] | 0.01 | [−0.02,0.03] |
Borderline | 0.06*** | [0.03,0.10] | 0.05** | [0.01,0.08] | 0.03 | [−0.00,0.06] |
Histrionic | −0.02 | [−0.06,0.01] | −0.02 | [−0.06,0.01] | −0.02 | [−0.06,0.01] |
Narcissistic | −0.00 | [−0.03,0.02] | −0.00 | [−0.03,0.02] | −0.00 | [−0.03,0.02] |
Avoidant | 0.04 | [−0.02,0.09] | 0.02 | [−0.03,0.08] | 0.02 | [−0.04,0.07] |
Dependent | 0.03 | [−0.09,0.14] | −0.01 | [−0.12,0.09] | −0.02 | [−0.12,0.08] |
Obsessive–compulsive | 0.02 | [−0.01,0.05] | 0.02 | [−0.01,0.05] | 0.02 | [−0.00,0.05] |
Note.Sample proportion with a hospital admission = 0.11. All models are estimated with logit and account for survey design with the Stata MP Version 12 survey commands. Coefficients are adjusted risk differences. Risk differences are calculated by first setting the A2 disorder variable to 1 and estimating the probability or risk of the dependent variable, then resetting the A2 disorder variable to 0 and reestimating the risk of the dependent variable. The average estimated risk difference is the mean of the differences in risks. The first set of results applies to a binary measure for any A2 disorder, the second set includes binary measures for 1 A2 disorder and 2 + A2 disorders, and the third set includes all A2 disorders as separate dummy variables. Each cell is from a separate regression.
Specification a adjusts for age, race, ethnicity, birth outside the United States, region of residence, and rural status.
Specification b adjusts for Specification a variables, household income, marital status, children in the household, education, health insurance, and employment.
Specification c adjusts for Specification b variables, past year A1 disorders, substance use indicators, and doctor-diagnosed chronic conditions.
p < .001;
p < .01;
p < .05.