Table 4.

Odds ratios and 95% confidence intervals for major depression in unadjusted and adjusted logistic regression models predicting types of barriers to depression treatment

	Attitude-treatment OR (95%CI)	Attitude-disorder OR (95%CI)	Attitude-stigma OR (95%CI)	Structural OR (95%CI)	Financial OR (95%CI)
Model 1
Major depression	2.99 (1.54–5.79)	0.99 (0.53–1.83)	3.03 (1.61–5.73)	0.49 (0.26–0.91)	1.13 (0.56–2.27)
Model 2
Major depression	1.98 (0.95–4.14)	0.81(0.40–1.63)	2.87(1.28–5.98)	0.31 (0.15–0.64)	0.79 (0.35–1.79)
Age	0.98 (0.95–1.02)	0.99 (0.96–.102)	0.94 (0.90–0.99)	0.97 (0.93–1.01)	0.99 (0.96–1.04)
Gender	0.47 (0.22–1.03)	0.94 (0.47–1.89)	1.60 (0.76–3.34)	0.98 (0.48–1.99)	0.90 (0.40–1.99)
Race/ethnicity	0.88 (0.41–1.87)	0.74 (0.37–1.94)	0.81 (0.38–1.69)	0.62 (0.30–1.26)	1.71 (0.74–3.98)
Student status	1.78 (0.73–4.34)	1.90 (0.85–4.27)	1.27 (0.54–2.99)	0.91 (0.40–2.04)	0.96 (0.37–2.48)
Income
Middle income	0.57 (0.26–1.27)	1.22 (0.58–2.57)	0.96 (0.44–2.12)	0.87 (0.41–1.86)	0.57 (0.25–1.33)
High income	0.27 (0.10–0.76)	0.69 (0.26–1.82)	0.79 (0.28–2.27)	0.96 (0.36–2.57)	0.11 (0.03–0.45)
Model 3
Major depression	1.66 (0.68–3.99)	0.99 (0.43–2.28)	3.42 (1.34–8.70)	0.62 (0.26–1.47)	0.94 (0.36–2.45)
Age	0.98 (0.95–1.02)	1.01 (0.97–1.04)	0.96 (0.92–1.01)	0.98 (0.94–1.02)	1.01 (0.96–1.04)
Gender	0.37 (0.16–0.85)	0.90 (0.44 −1.86)	1.97 (0.88–4.40)	1.16 (0.54–2.48)	0.82 (0.36–1.89)
Race/ethnicity	0.81 (0.37–1.77)	0.71 (0.35–1.44)	0.79 (0.36–1.72)	0.61 (0.29–1.29)	1.62 (0.69–3.81)
Student status	1.98 (0.77–4.64)	1.91 (0.85–4.32)	1.31 (0.53–3.19)	0.87 (0.38–2.01)	1.01 (0.38–2.62)
Income
Middle income	0.55 (0.25–1.24)	1.21 (0.57–2.55)	0.95 (0.42–2.15)	0.87 (0.40–1.92)	0.56 (0.24–1.31)
High income	0.26 (0.09–0/77)	0.66 (0.25–1.77)	0.63 (0.20–1.98)	0.83 (0.30–2.29)	0.11 (0.03–0.44)
Risk of suicide	2.57 (1.03–6.44)	1.42 (0.61–3.32)	0.72 (0.28–1.85)	0.60 (0.25–1.44)	1.51 (0.56–4.07)
Treatment history	0.94 (0.41–2.14)	0.62 (0.28–1.32)	0.26 (0.11–0.63)	0.34 (0.15–0.73)	0.73 (0.28–1.91)

Reference group: Gender: male; Race/ethnicity: white; Income: low income;