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. Author manuscript; available in PMC: 2011 Jan 1.
Published in final edited form as: Int J Psychiatry Med. 2010;40(1):57–76. doi: 10.2190/PM.40.1.e

Table 2.

Logistic Regression Models to Predict Accessing Depression and Substance Use Disorder Treatment

Predictors of having filled one or more antidepressant prescription (yes/no) among women and men diagnosed by providers with depression
Women (N = 1453)
Men (N = 520)
OR 95% CI OR 95% CI

Age (older) 1.09* 1.00, 1.18 1.19* 1.03, 1.37
Age (squared term) 0.99 0.99, 1.00 0.99 0.99, 1.00
Race-Ethnicity
 African-American (vs. White) 0.67 0.39, 1.17 0.24** 0.09, 0.64
 Latino (vs. White) 0.52** 0.34, 0.77 0.98 0.43, 2.20
 Asian-American (vs. White) 0.30*** 0.18, 0.50 0.81 0.24, 2.72
Education (>= some college vs. <= high school) 1.06 0.71, 1.57 0.75 0.40, 1.44
Income (>= $50,000 vs. <$50,000) 0.87 0.64, 1.17 0.87 0.52, 1.46
Comorbid substance use disorder 3.41** 1.47, 7.92 1.32 0.69, 2.53
Has regular health provider 1.36 0.91, 2.05 0.91 0.42, 2.00
Length of health plan enrollment (months) 0.96 0.89, 1.05 0.88 0.76, 1.02
Predictors of having had one or more chemical dependency program visits (yes/no) among women and men diagnosed by providers with a substance use disorder
Women (N = 153)
Men (N = 216)
OR 95% CI OR 95% CI

Age (older) 1.05 0.85, 1.29 0.97 0.80, 1.19
Age (squared term) 1.00 0.99, 1.00 1.00 0.99, 1.00
Race-Ethnicity
 African-American (vs. White) 0.19* 0.04, 0.94 0.47 0.11, 2.04
 Latino (vs. White) 1.92 0.61, 61.0 1.03 0.38, 2.81
 Asian-American (vs. White) 0.32 0.58, 6.37 1.33 0.25, 7.15
Education (>= some college vs. <= high school) 1.28 0.43, 3.80 1.47 0.73, 2.95
Income (>= $50,000 vs. <$50,000) 1.34 0.61, 2.94 0.88 0.46, 1.68
Comorbid depressive disorder 2.73* 1.21, 6.20 0.93 0.50, 1.72
Has regular health provider 0.71 0.25, 2.01 0.61 0.27, 1.37
Length of health plan enrollment (months) 0.94 0.76, 1.16 1.02 0.84, 1.25

Notes: Age was entered as a squared term to control for possible non-linear effects. Participants were aged 20–65 and had at least 18 months of health plan membership during the 21-month study window period. Analyses eliminate cases with missing data on any variable.

*

p < .05;

**

p < .01;

***

p < .001.