Table 1.
Demographic Characteristics of U.S. Veterans with a Lifetime History of Alcohol Use Disorder by Race/Ethnicity
| Variable | White | Black | Hispanic | Statistic | p-value | Effect size | Post-Hoca |
|---|---|---|---|---|---|---|---|
| n = 1099 | n = 60 | n = 53 | |||||
| Raw Frequency (% weighted) | Raw Frequency (% weighted) | Raw Frequency (% weighted) | |||||
| Male sex/gender | 1046 (95.8) | 49 (85.4) | 45 (92.6) | χ2 (2, N = 1,237) = 20.943 | < .001 | Phi = .130 | W > B |
| Education level (≥ some college) |
920 (64.0) | 44 (60.8) | 43 (63.6) | χ2 (2, N = 1,236) = .409 | .815 | Phi = .018 | |
| Currently employed | 440 (40.0) | 30 (47.6) | 26 (46.3) | χ2 (2, N = 1,237) = 3.535 | .171 | Phi = .053 | |
| Household income (Less than or equal to 60,000) | 506 (55.8) | 38 (72.5) | 22 (43.5) | χ2 (2, N = 1,236) = 18.195 | < .001 | Phi = .121 | B > W > H |
| Married or living with partner | 868 (76.5) | 35 (60.2) | 42 (72.2) | χ2 (2, N = 1,238) = 13.674 | .001 | Phi = .105 | W > B |
| Military branch (Army versus other) | 427 (36.0) | 30 (52.0) | 23 (42.6) | χ2 (2, N = 1,236) = 11.214 | .004 | Phi = .095 | B > W |
| Combat Veteran | 420 (35.3) | 18 (25.2) | 25 (47.2) | χ2 (2, N = 1,237) = 11.237 | .004 | Phi = .095 | H > W, B |
| Military enlistment (% drafted) | 130 (10.7) | 6 (13.7) | 6 (9.3) | χ2 (2, N = 1,235) = 1.169 | .557 | Phi = .031 | |
| AUD severity | 338 (33.7) | 28 (39.8) | 19 (35.2) | χ2 (2, N = 1,237) = 1.572 | .456 | Phi = .036 | |
| Trauma exposure | 4.00 (.10) | 4.62 (.30) | 5.15 (.30) | F (2, 1181) = 8.094 | < .001 | eta = .014 | H > W |
| Number of years of service M (SE) | 6.71(.23) | 7.87 (.70) | 8.08 (.70) | F (2, 1183) = 2.665 | .070 | eta = .004 | |
| Age M (SE) | 60.38 (.44) | 55.77 (1.34) | 52.30 (1.34) | F (2, 1183) = 20.12 | < .001 | eta = .033 | W > B, H |
Notes. AUD severity = alcohol use disorder severity measured by percent dependent; W: white; B: black; H: Hispanic.
a
Comparison of nominal/ordinal variable by race/ethnicity compared column proportions using z-test with Bonferroni correction and group differences for interval variables used One-Way ANOVA, with Tukey’s post-hoc testing and Bonferroni correction for multiple comparisons.