Table 1.
Demographic characteristics at intake
| Black
(N = 207) |
Hispanic
(N = 274) |
White
(N = 576) |
p value 1 | |
|---|---|---|---|---|
| Age, mean (SD) 2 | 40.9 (9.6) a | 33.2 (9.6) b | 36.9 (9.2) c | <.001 |
| Female, n (%) | 48 (23.2) | 63 (23.0) | 207 (35.9) | <.001 |
| Marital status, n (%) | <.01 | |||
| Married | 37 (18.4) | 45 (16.9) | 78 (13.9) | |
| Widowed/separated/divorced | 63 (31.3) | 80 (30.1) | 235 (41.9) | |
| Never married | 101 (50.3) | 141 (53.0) | 248 (44.2) | |
| Employment, n (%) | 0.07 | |||
| Full time | 43 (21.2) | 69 (25.7) | 131 (23.2) | |
| Part time | 28 (13.8) | 44 (16.4) | 84 (14.9) | |
| Unemployed | 44 (21.7) | 76 (28.4) | 164 (29.1) | |
| Not in labor force | 88 (43.3) | 79 (29.5) | 185 (32.8) | |
| Education, n (%) | .001 | |||
| 0 – 8 years | 7 (3.4) | 19 (7.1) | 17 (3.0) | |
| 9 – 12 years | 143 (70.4) | 210 (78.9) | 421 (74.8) | |
| 13 + years | 53 (26.1) | 37 (13.9) | 125 (22.2) | |
| Number of prior convictions, mean (SD) 2 | 2.60 (18.5) | 2.99 (15.3) | 4.74 (13.1) | 0.11 |
| Primary drug, n (%)2 | ||||
| Alcohol | 20 (9.7) a | 40 (14.6) b | 27 (4.7) c | <.001 |
| Cocaine | 91 (44.0) a | 13 (4.7) b | 28 (4.9) b | <.001 |
| Marijuana | 27 (13.0) a | 39 (14.2) a | 69 (12.0) a | 0.65 |
| Heroin | 24 (11.6) a | 27 (9.9) a | 57 (9.9) a | 0.77 |
| Methamphetamine | 26 (12.6) a | 147 (53.7) b | 379 (65.8) c | <.001 |
| Other | 19 (9.2) a | 8 (2.9) b | 16 (2.8) b | <.01 |
| Prior treatment for alcohol/drug abuse, n (%)2 | 0.27 | |||
| Never | 110 (53.1) | 161 (58.8) | 306 (53.1) | |
| 1 or more times | 97 (46.9) | 113 (41.2) | 270 (46.9) | |
| Drug treatment by modality, n (%)2 | .03 | |||
| Outpatient Care | 153 (75.7) | 234 (85.4) | 475 (82.8) | |
| Residential Care | 49 (24.3) | 40 (14.6) | 99 (17.2) | |
| Addiction Severity Index, Mean (SD) 3 | ||||
| Alcohol | 0.15 (0.22) a | 0.13 (0.19) a | 0.09 (0.16) b | <.0001 |
| Drug | 0.13 (0.12) a | 0.13 (0.11) a | 0.14 (0.10) a | 0.20 |
| Employment | 0.79 (0.25) a | 0.74 (0.28) b | 0.67 (0.30) c | <.0001 |
| Family | 0.14 (0.20) a | 0.16 (0.21) a | 0.17 (0.20) a | 0.15 |
| Legal | 0.28 (0.18) a | 0.23 (0.18) b | 0.26 (0.18) a | <.05 |
| Medical | 0.26 (0.33) a | 0.26 (0.32) a | 0.29 (0.34) a | 0.34 |
| Psych | 0.17 (0.21) a | 0.17 (0.22) a | 0.20 (0.22) a | 0.16 |
1
Chi-square testing for ethnic differences, unless otherwise noted.
2
ANOVA or GLM with Duncan grouping to test for ethnic differences (means/numbers with the same letter are not significantly different)
3
Proc GLM adjusting for age and gender with Duncan grouping to test for ethnic differences (means with the same letter are not significantly different).