Table 3.
Demographics of patients with 4 day hypomanic episodes compared to additional patients with 3, 2, and 1 day hypomanic episodes
| 4 day hypomanic episode | 3 day hypomanic episode | 2 day hypomanic episode | 1 day hypomanic episode | |||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Patients (N = 102) | Additional patients (N = 43) | DF | P | Additional patients (N = 88) | DF | P | Additional patients (N = 169) | DF | P | |
| Agea (mean years, SD) | 38.9 (11.9) | 40.4 (9.0) | 103.1 | 0.400 | 39.5 (11.0) | 187.1 | 0.687 | 39.8 (11.3) | 204.9 | 0.524 |
| Age of onseta (mean years, SD) | 23.8 (11.3) | 20.1 (10.3) | 79.9 | 0.068 | 20.6 (10.9) | 169.2 | 0.054 | 21.4 (10.7) | 188.7 | 0.102 |
| Years of illnessa (mean years, SD) | 15.5 (10.7) | 20.0 (10.8) | 73.1 | 0.032 | 19.0 (12.2) | 158.4 | 0.050 | 18.4 (12.6) | 221.1 | 0.054 |
| Hospitalizationsa (mean N, SD) | 2.8 (5.0) | 2.5 (3.1) | 120.4 | 0.548 | 1.8 (2.5) | 137.2 | 0.079 | 1.9 (2.8) | 125.1 | 0.075 |
| Diagnosisb | 2 | 0.279 | 1 | 0.650 | 1 | 0.925 | ||||
| Bipolar I (N, %) | 64 (63) | 31 (72) | 58 (66) | 107 (63) | ||||||
| Bipolar II (N, %) | 38 (37) | 12 (28) | 30 (34) | 62 (37) | ||||||
| Genderb | 1 | 0.423 | 1 | 0.705 | 1 | 0.570 | ||||
| Female (N, %) | 71 (70) | 27 (63) | 59 (67) | 112 (66) | ||||||
| Male (N, %) | 31 (30) | 16 (37) | 29 (33) | 57 (34) | ||||||
| Education levelb | 2 | 0.544 | 2 | 0.736 | 2 | 0.423 | ||||
| High school (N, %) | 13 (14) | 3 (8) | 9 (11) | 18 (11) | ||||||
| Some college (N, %) | 35 (38) | 15 (37) | 29 (35) | 51 (32) | ||||||
| College graduate (N, %) | 45 (48) | 22 (55) | 44 (54) | 91 (57) | ||||||
| Employment statusb | 2 | 0.169 | 2 | 0.030 | 2 | 0.103 | ||||
| Disabled (N, %) | 21 (24) | 11 (28) | 20 (25) | 37 (23) | ||||||
| Working full-time (N, %) | 51 (59) | 17 (42) | 33 (41) | 75 (48) | ||||||
| Other (N, %) | 15 (17) | 12 (30) | 27 (34) | 46 (29) | ||||||
| Marital statusb | 2 | 0.928 | 2 | 0.928 | 2 | 0.927 | ||||
| Married (N, %) | 45 (48) | 20 (50) | 36 (46) | 78 (49) | ||||||
| Single (N, %) | 34 (37) | 15 (37) | 30 (38) | 59 (37) | ||||||
| Divorced (N, %) | 14 (15) | 5 (13) | 13 (16) | 21 (13) | ||||||
| Number of daily medicationsa (mean N, SD) | 2.8 (1.6) | 2.7 (1.4) | 86.8 | 0.769 | 2.6 (1.6) | 184.7 | 0.310 | 2.6 (1.5) | 206.3 | 0.183 |
| Taking any mood stabilizerb (N, %) | 80 (78) | 36 (84) | 1 | 0.467 | 69 (78) | 1 | 0.997 | 133 (79) | 1 | 0.959 |
| Taking lithiumb (N, %) | 30 (29) | 11 (26) | 1 | 0.640 | 20 (23) | 1 | 0.297 | 40 (24) | 1 | 0.295 |
| Taking valproateb (N, %) | 24 (24) | 11 (26) | 1 | 0.792 | 20 (23) | 1 | 0.896 | 34 (20) | 1 | 0.507 |
| Taking lamotrigineb (N, %) | 34 (33) | 14 (33) | 1 | 0.928 | 29 (33) | 1 | 0.956 | 64 (38) | 1 | 0.451 |
| Taking antidepressantb (N, %) | 50 (49) | 23 (54) | 1 | 0.623 | 44 (50) | 1 | 0.893 | 86 (51) | 1 | 0.766 |
| Taking antipsychoticb (N, %) | 54 (53) | 17 (40) | 1 | 0.140 | 33 (38) | 1 | 0.033 | 66 (39) | 1 | 0.026 |
| Taking benzodiazepineb (N, %) | 27 (27) | 11 (26) | 1 | 0.911 | 20 (23) | 1 | 0.551 | 35 (21) | 1 | 0.274 |
| Taking sleep medicationb (N, %) | 10 (10) | 3 (7) | 1 | 0.586 | 5 (6) | 1 | 0.293 | 8 (5) | 1 | 0.104 |
aStudent’s t test, equal variances not assumed
bPearson Chi-Square test