Table 1.
Sociodemographic characteristics of the complete sample, and the three subgroups.
| Demographics | Total (n = 114) | Analysis group | Group comparison | ||||
|---|---|---|---|---|---|---|---|
| NoTE (n = 35) | TE (n = 47) | PTSD (n = 32) | Test statistic (df) | p | Effect size | ||
| Mean age (SD) | 15.8 (1.3) | 15.5 (1.3) | 16.0 (1.3) | 15.8 (1.2) | F (113) = 1.32 | .271 | ηp2 = .023 |
| Gender: | χ² (2) = 2.427 | .297 | ϕ = .15 | ||||
| Female (%) | 49 (43) | 12 (34) | 27 (57) | 17 (53) | |||
| Male (%) | 65 (57) | 23 (66) | 20 (43) | 15 (47) | |||
| Household income: # of patients in category (%), missing n = 60 | (n = 54) | (n = 22) | (n = 21) | (n = 11) | χ² (4) = 1.525 | .822 | .17 |
| Low income | 9 (17) | 4 (18) | 4 (19) | 1 (9) | |||
| Middle income | 31 (57) | 11 (50) | 13 (62) | 7 (63) | |||
| High income | 14 (26) | 7 (32) | 4 (19) | 3 (25)7 | |||
| Educational level: # of patients in category (%), missing n = 38 | (n = 76) | (n = 22) | (n = 34) | (n = 20) | χ² (6) = 4.773 | .573 | .25 |
| Low | 37(55) | 9 (41) | 16 (47) | 12 (60) | |||
| Middle | 20 (26) | 6 (27) | 11 (32) | 3 (15) | |||
| High | 8 (11) | 4 (18) | 3 (9) | 1 (5) | |||
| Other | 11 (14) | 3 (14) | 4 (12) | 4 (20) | |||
| Substance abuse: # of patients presenting with harmful use or dependence per substance (%), missing n = 2 | (n = 112) | (n = 35) | (n = 47) | (n = 30) | |||
| Alcohol | 44 (39) | 12 (34) | 23 (49) | 9 (30) | χ² (2) = 3.286 | .193 | .17 |
| Cannabis | 89 (80) | 29 (83) | 38 (81) | 22 (73) | χ² (2) = 0.993 | .609 | .09 |
| Stimulants (amphetamine, methamphetamine, or MDMA) | 49 (44) | 13 (37) | 18 (38) | 18 (60) | χ² (2) = 4.408 | .110 | .20 |
PTSD, Post-traumatic stress disorder according to DSM-IV; TE, Traumatic event; MDMA, methylenedioxymethamphetamine. A clinical psychologist performed the diagnosis of harmful use or dependence syndrome, and multiple diagnoses per patient were possible. For the differences in substance abuse, the p-value was adjusted according to the Bonferroni-procedure to p < .02.