Table 1.
Demographic and clinical differences in 150 bipolar heroin addicts according to their present episode polarity
|
Demographics |
(1) Depressive Episode N = 103 |
(2) Hypomanic Episode N = 22 |
(3) Manic Episode N = 5 |
(4) Mixed Episode N = 20 |
Phi |
p |
|---|---|---|---|---|---|---|
| N (%) | N (%) | N (%) | N (%) | |||
| Age (M ± sd) |
28.81 ± 6.4 |
28.77 ± 4.7 |
26.80 ± 5.6 |
28.45 ± 5.1 |
0.69 |
0.55 |
| Gender (males) |
63 (61.2) |
13 (59.1) |
3 (60.0) |
12 (60.0) |
0.03 |
0.99 |
| Low Education Level (≤8 yrs) |
71 (68.9) |
16 (72.7) |
4 (80.0) |
13 (65.0) |
0.57 |
0.90 |
| Marital status (single) |
62 (60.2) |
11 (50.0) |
3 (60.0) |
9 (45.0) |
2.05 |
0.56 |
| Unemployed |
48 (46.6) |
11 (50.0) |
3 (60.0) |
8 (40.0) |
6.20 |
0.71 |
| Financial need |
20 (19.6) |
4 (18.2) |
0 (0.0) |
7 (35.0) |
3.93 |
0.26 |
| DAH-Q factors |
|
|
|
|
|
|
| 1. Somatic comorbidity |
87 (84.5) |
17 (77.3) |
4 (80.0) |
19 (95.0) |
2.65 |
0.44 |
| 2. Altered mental status |
103 (100) |
22 (100) |
5 (100) |
20 (100) |
- |
- |
| 3. Work, major problems |
73 (70.9) |
13 (59.1) |
3 (60.0) |
11 (55.0) |
2.71 |
0.43 |
| 4. Family, major problems |
69 (67.0) |
10 (45.5) |
2 (40.0) |
11 (55.0) |
5.02 |
0.16 |
| 5. Romantic involvement, major problems |
37 (35.9) |
8 (36.4) |
1 (20.0) |
7 (35.0) |
0.54 |
0.90 |
| 6. Social leisure, major problems |
60 (58.3) |
11 (50.0) |
2 (40.0) |
8 (40.0) |
2.86 |
0.41 |
| 7. Legal problems |
53 (51.5) |
10 (45.5) |
2 (40.0) |
7 (35.0) |
2.03 |
0.56 |
| 8. Poly-abusers |
56 (54.4) |
12 (54.5) |
4 (80.0) |
14 (70.0) |
2.80 |
0.42 |
| 9. Past opioid agonist treatment failure(s) |
86 (83.5)a |
19 (86.9)a |
4 (80.0)a |
11 (55.0)b |
9.15 |
0.02 |
| 10. Associated treatment needed | 103 (100) | 22 (100) | 5 (100) | 20 (100) | - | - |
Each (a,b) letter indicates a subset of categories “present episode polarity” which portions of the column are not very different at level .05.