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. Author manuscript; available in PMC: 2014 Sep 1.
Published in final edited form as: Behav Genet. 2013 Jun 13;43(5):374–385. doi: 10.1007/s10519-013-9599-5

Table 1.

Distribution of use and DSM-IV dependence symptoms by gender and age cohort

Younger males (564) Younger females (600) Older males (529) Older females (668)
Use
Alcohol 69 (13.27 %) 61 (11.28 %) 320 (63.24 %) 387 (60.47 %)
Tobacco 44 (8.46 %) 23 (4.25 %) 229 (45.26 %) 257 (40.22 %)
Cannabis 13 (2.30 %) 5 (0.83 %) 105 (19.84 %) 141 (21.11 %)
Dependence
Alcohol 0.16 (0.41) 0.03 (0.26) 0.42 (0.86) 0.47 (0.94)
Tobacco 0.21 (0.85) 0.22 (1.04) 0.81 (1.59) 1.03 (1.73)
Cannabis 0.92 (1.26) 2.00 (0.71) 1.37 (1.64) 1.32 (1.46)
Wave 2
Use
  Alcohol 403 (71.45 %) 337 (62.83 %) 498 (94.14 %) 607 (90.87 %)
  Tobacco 200 (35.46 %) 103 (19.03 %) 329 (62.19 %) 265 (39.67 %)
  Cannabis 185 (32.80 %) 119 (19.83 %) 258 (48.77 %) 245 (36.67 %)
Dependence
  Alcohol 1.08 (1.55) 0.76 (1.37) 1.54 (1.65) 1.18 (1.61)
  Tobacco 2.22 (2.09) 2.53 (1.97) 2.24 (2.00) 2.70 (1.93)
  Cannabis 1.23 (1.52) 1.01 (1.35) 1.11 (1.51) 1.01 (1.44)

Table shows prevalence of use [N (%)] and the mean and SD [mean (SD)] of observed DSM-IV symptom counts for alcohol, tobacco, and cannabis among the identified drug users. Note: Bolded values indicate instances in which the mean level of symptom endorsed in male and female drug users within the same age cohort is significantly different (Mann–Whitney U p-value < 0.05)