Table 4.

Correlates of depression treatment in binary logistic regression

	Medication for anxiety or depression				Psychiatric/Psychological treatment
	OR (95% CI)	S.E.	t statistic	p	OR (95% CI)	S.E.	t statistic	p
Depression status
Not depressed	Reference				Reference
Subthreshold depression	1.83 (1.16, 2.90)	.42	2.63	.011	2.80 (1.29, 6.08)	1.09	2.66	.010
Major depression	5.33 (2.82, 10.06)	1.69	5.27	<.001	5.11 (2.26, 11.56)	2.08	4.01	<.001
Age in years	.97 (.95, .99)	.01	−3.21	.002	.94 (.90, .97)	.02	−3.63	.001
Race/ethnicity
Non-Hispanic white	Reference				-	-		-
Non-Hispanic black	.45 (.26, .78)	.12	−2.91	.005	-	-		-
Non-Hispanic Asian or other	.38 (1.17, 1.25)	.23	−1.62	.110	-	-		-
Hispanic	.84 (.50, 1.40)	.21	−.69	.495	-	-		-
Household net worth
1st quartile	-	-		-	Reference
2nd quartile	-	-		-	.34 (.14, .81)	.15	−2.49	.016
3rd quartile	-	-		-	.64 (.25, 1.64)	.30	−.94	.350
4th quartile	-	-		-	.96 (.39, 2.38)	.44	−.09	.929
Cognitive impairment	1.96 (1.40, 2.75)	.33	3.98	<.001	-	-		-
Problems with pain
No pain	Reference				Reference
Mild pain	1.83 (.95, 3.55)	.61	1.83	.072	2.69 (1.09, 6.64)	1.21	2.19	.033
Moderate/severe pain	1.61 (.94, 2.76)	.43	1.78	.080	1.62 (.65, 4.02)	.73	1.07	.291

Note. Valid N =773 for the model predicting medication use and N=808 for the model predicting psychiatric/psychological treatment. OR=odds ratio. Covariates with empty cells were not included in the corresponding regression model. Final models presented in this table were constructed based on the purposeful selection of covariates described in Bursac et al.²⁶ Results were weighted to adjust for the complex sample design of HRS. (Valid N=773)