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. Author manuscript; available in PMC: 2014 Nov 1.
Published in final edited form as: Depress Anxiety. 2013 May 30;30(11):10.1002/da.22134. doi: 10.1002/da.22134

Table 3.

Predictors of early attrition among African-Americans who dropped out of the study

Predictor B (S.E.) Odds Ratio (95% C.I.) Wald Z-statistic
Marital status
Married −0.75 0.55 0.47 (0.16–1.93) 1.85
Divorced/separated/widowed −0.85 0.52 0.43 (0.15–1.18) 1.18
Comorbid anxiety disorder −0.90 0.40 0.41 (0.18–0.90) 4.99*
Concurrent alcohol abuse/dependence 0.20 0.84 1.22 (0.24–6.30) 0.06
QIDS-C (depressive symptoms at week 0) 0.22 0.08 1.24 (1.07–1.45) 7.96**
QIDS-SR (depressive symptoms at week 0) −0.14 0.06 0.87 (0.77–0.98) 4.93*
Perceived physical functioning 0.06 0.02 1.06 (1.03–1.10) 12.09***

All estimates obtained from multivariate logistic regression, two-tailed significance,

*

p < .05,

**

p < .01,

***

p < .001

Note. Early attrition is defined as leaving the study by level 2 without remission of depression. All predictors are entered simultaneously in logistic regression model. For continuous variables (QIDS scores and perceived physical functioning, regression coefficient (B) represents the unit change in predictor associated with dropping out early vs. later in the study. For dichotomous variables (comorbid anxiety disorder and concurrent alcohol abuse/dependence), odds ratios are the odds of dropping out early vs. late in the presence of these conditions. For categorical variable (marital status), odds ratios represent the odds of dropping out early if one is married, or if one is separated/divorced/widowed vs. never married.