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. Author manuscript; available in PMC: 2018 Jul 17.
Published in final edited form as: Psychodyn Psychiatry. 2017 Fall;45(3):385–409. doi: 10.1521/pdps.2017.45.3.385

Table 1.

Demographic and Clinical Characteristics of Substance Use Disorder Patients With and Without a Comordbid CSS

Without Comorbid CSS (N = 311)
With Comorbid CSS (N = 30)
Variable Mean (SD) /Count (%) Mean (SD) /Count (%) t2 df p (two-sided) Missing cases
Demographic
Age 37.13 (12.48) 35.23 (11.71) 0.80 339 0.43 0
Gender 0.17 0.84 0
 Male 206 (66.24%) 21 (70%)
 Female 105 (33.76%) 9 (30%)
Occupational Status 0.02 1 0.88 35
 Employed 112 (40%) 10 (38.46%)
 Unemployed 168 (60%) 16 (61.54%)
Marital Status 0.82 2 0.66 16
 Single 100 (33.78%) 12 (41.38%)
 Married 117 (39.53%) 11 (37.93%)
 Divorced/Separated/Widowed 79 (26.68%) 6 (20.69%)
Number of Children 1.21 (1.16) .93 (1.08) 1.26 336 0.21 3
Clinical
Number of Axis I Diagnoses (DSM-IV TR) 2.45 (1.46) 2.26 (1.26) 0.70 328 0.49 11
Presence of Axis II Diagnosis (DSM-IV TR) 0.173 1 0.68 2
 Yes 39 (12.62%) 3 (10%)
 No 270 (87.38%) 27 (90%)
Length of Stay (Days) 56.31 (45.33) 58.07 (67.82) −0.192 336 0.85 3
Drug of Choice
 Depressant 157 (50.5%) 17 (56.7%) 1.51 5 0.92 0
 Opiate 94 (30.2%) 8 (26.7%)
 Stimulant 29 (9.3%) 3 (10%)
 Cannabis 19 (6.1%) 2 (6.7%)
 Polysubstance 9 (2.9%) 0 (0%)
 Indeterminate 3 (1.0%) 0 (0%)

Note. The percentage given next to counts of the categorical variables is the percentage of available cases from that CSS category (i.e., not including missing cases in the total number).