Table 1.
Baseline characteristics of study participants.
Option | Total n = 125 | No use Disorder n = 80 | Deanxit Use Disorder n = 45 | p-value | |
---|---|---|---|---|---|
Age (years) | <40 | 22 (17.6%) | 14 (17.5%) | 8 (17.8%) | 0.802 |
40–65 | 71 (56.8%) | 44 (55.0%) | 27 (60.0%) | ||
>65 | 32 (25.6%) | 22 (27.5%) | 10 (22.2%) | ||
Gender | Female | 99 (79.2%) | 61 (76.3%) | 38 (84.4%) | 0.279 |
Male | 26 (20.8%) | 19 (23.8%) | 7 (15.6%) | ||
Marital Status | Married | 90 (72.0%) | 54 (67.5%) | 36 (80.0%) | 0.135 |
Not married | 35 (28.0%) | 26 (32.5%) | 9 (20.0%) | ||
Educational Level | University Degree | 70 (56.0%) | 44 (55.0%) | 26 (57.8%) | 0.764 |
Under University degree | 55 (44.0%) | 36 (45.0%) | 19 (42.2%) | ||
Currently Employed | Yes | 45 (36%) | 33 (41.3%) | 12 (26.7%) | 0.103 |
No | 80 (64.0%) | 47 (58.8%) | 33 (73.3%) | ||
Smoking | Current Smoker | 72 (57.6%) | 47 (58.8%) | 25 (55.6%) | 0.729 |
Not currently smoking | 53 (42.4%) | 33 (41.3%) | 20 (44.4%) | ||
Alcohol | Yes | 30 (24.0%) | 20 (25.0%) | 10 (22.2%) | 0.727 |
None | 95 (76.0%) | 60 (75.0%) | 35 (77.8%) | ||
Perceived overall health over the last year | Excellent | 8 (6.4%) | 8 (10.0%) | 0 (0%) | 0.126 |
Very good | 29 (23.2%) | 19 (23.8%) | 10 (22.2%) | ||
Good | 47 (37.6%) | 30 (37.5%) | 17 (37.8%) | ||
Fair | 23 (18.4%) | 11 (13.8%) | 12 (26.7%) | ||
Poor | 18 (14.4%) | 12 (15.0%) | 6 (13.3%) | ||
Presence of psychiatric diseases | Yes | 39 (31.2%) | 18 (22.5%) | 21 (46.7%) | 0.005 |
No | 86 (68.8%) | 62 (77.5%) | 24 (53.3%) | ||
follow up with a primary care physician | Yes | 89 (71.2%) | 56 (70.0%) | 33 (73.3%) | 0.693 |
No | 36 (28.8%) | 24 (30.0%) | 12 (26.7%) | ||
Presence of chronic diseases | Yes | 89 (71.2%) | 59 (73.8%) | 30 (66.7%) | 0.401 |
No | 36 (28.8%) | 21 (26.3%) | 15 (33.3%) | ||
Still taking Deanxit | Yes | 88 (70.4%) | 56 (70.0%) | 32 (71.1%) | 0.896 |
No | 37 (29.6%) | 24 (30%) | 13 (28.9%) | ||
Other Substances | Marijuana | 1 (0.8%) | 1 (1.3%) | 0 (0%) | 1.000 |
Other drugs of abuse | 2 (1.6%) | 1 (1.3%) | 1 (2.2%) | 1.000 |
Data are presented as numbers with percentages.
The P-value for the difference between two adjacent columns is calculated by chi-square or Fisher's exact test where appropriate.