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. 2014 May;75(3):520–529. doi: 10.15288/jsad.2014.75.520

Table 1.

Proportional hazards regression analysis of Wave 1 (W1) predictors of Wave 2 (W2) marital dissolutiona

W1 Predictor HR [95% CL]
Sex
 Female 1.1 [0.9, 1.3]
 Male
Age, in years
 18-29 12.8* [10.2, 16.0]
 ≥30
Race/ethnicity
 African American 1.9* [1.1,3.1]
 Asian or Pacific Islander
 American Indian/Alaska Native 1.3 [0.7, 2.5]
 White 0.9 [0.6, 1.5]
 Hispanic or Latino 1.5 [0.9, 2.6]
Education
 More than high school 1.2 [0.9, 1.6]
 Completed high school 1.3 [0.9, 1.5]
 Less than high school
Income, in U.S. $
 ≥$70,000 1.1 [0.8, 1.5]
 $35,000-$69,999 1.3* [1.0, 1.6]
 $20,000-$34,999 1.3* [1.1, 1.6]
 $0-$19,999
Age at marriage 1.04* [1.03, 1.05]
Married two or more times 2.1* [1.7, 2.7]
Past-12-month alcohol use disorder 2.0* [1.4, 2.8]
Past-12-month drug use disorder 1.5 [0.7, 3.5]
Past-12-month tobacco use disorder 1.8* [1.4, 2.3]
Past-12-month mood disorder 1.8* [1.5, 2.2]
Past-12-month anxiety disorder 0.9 [0.7, 1.2]
Any lifetime personality disorder 1.2 [0.9, 1.4]
Current spouse alcoholic 1.9* [1.2,3.1]
Number of stressful events, past 12 months 1.15* [1.09, 1.21]

Notes: HR = adjusted hazards ratio; CL = Wald 95% confidence limits; – = reference group.

a

The analytic sample for proportional hazards regression analyses comprised N = 17,192 participants who (a) were “currently married” at W1, (b) completed W2, (c) responded to the W2 question about changes in marital status since the W1 interview, and (d) responded to the W1 question, “How old were you when you and your (current) (husband/ wife) got married?” and to the W2 question, “How old were you when this marital change took place?” (asked of those who reported a marital change between W1 andW2).

*

p < .05.