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. Author manuscript; available in PMC: 2015 Sep 1.
Published in final edited form as: Drug Alcohol Depend. 2014 Jun 10;0:86–90. doi: 10.1016/j.drugalcdep.2014.05.022

Table 1.

Characteristics of past-year nonmedical ADHD stimulant classes identified through latent class analysis in a sample of the US population aged 18 and above (N= 6,103): data from 2006–2011 National Survey on Drug Use and Health.

Characteristics Low substance
class
N (Wgt%)
Prescription drug
class
N (Wgt%)
Prescription drug
class
vs Low substance class
aORa (95% CI)
Alcohol- marijuana
class
N (Wgt%)
Alcohol-marijuana
class
vs Low substance class
aORa (95% CI)
Multiple substance
class
N (Wgt%)
Multiple substance
class
vs Low substance class
aORa (95% CI)

Total 2,995(53.3) 718(13.3) 2,064(28.8) 326(4.6)

Gender
 Male 1,556(54.6) 34 9(51.5) 1.00 1,271(62.4) 1.00 193(63.7) 1.00
 Female 1,439(45.4) 369(48.5) 1.18(0.92,1.50) 793(37.6) 0.74(0.62,0.89) 133(36.3) 0.74(0.52,1.04)

Age
 18-25 2,578(61.0) 55 8(50. 1) 1.00 1,912(80.1) 1.00 299(75.6) 1.00
 ≥ 26 417(39.1) 16 0(49.9) 1.23(0.84,1.79) 152(19.9) 0.52(0.37,0.72) 27(24.5) 0.71(0.38,1.31)

Race
 Non-Hispanic White 2,533(86.4) 620(89.5) 1.00 1717(85.6) 1.00 258(84.3) 1.00
 Minorities 462(13.6) 98(10.6) 0.69(0.31,1.16) 347(14.4) 1.01(0.77,1.33) 68(15.7) 1.03(0.63,1.68)

Marital status
 Married 225(15.9) 73 (18.4) 1.00 66(5.0) 1.00 8(6.4) 1.00
 No longer married 107(8.3) 62 (17.7) 1.63(0.97,2.75) 46(4.4) 1.63(0.83,3.23) 14(6.7) 1.69(0.37,7.67)
 Never married 2,663(75.9) 583(63.9) 0.84(0.51,1.38) 1,952(90.6) 2.35(1.44,3.84) 304(86.9) 2.16(0.78,6.89)

Employment
 Full/Partial 2,116(72.8) 45 9(65.7) 1.00 1,376(67.9) 1.00 185(59.1) 1.00
 Unemployed 214(7.6) 10 0(12.4) 1.66(1.08,2.55)* 249(11.2) 1.41(1.03,1.94)* 79(20.8) 2.55(1.56,4.17)
 Not labor force 665(19.7) 159(21.9) 1.23(0.83,1.83) 439(21.0) 1.05(0.83,1.31) 62(20.2) 1.10(0.62,1.95)

Education
 < high school 271(8.8) 15 6(16.2) 1.00 282(11.6) 1.00 85(20.9) 1.00
 High school 645(19.7) 23 8(33.8) 0.92(0.62,1.38) 622(27.9) 1.05 (0.79,1.39) 143(47.6) 1.04(0.61,1.78)
 ≥ College 2,079(71.5) 324(50.0) 0.40(0.26,0.63) 1,160(60.6) 0.66(0.50,0.86) 98(31.6) 0.20(0.11,0.34)

Income
 < $20,000 1,198(32.2) 24 0(27.4) 1.00 866(37.4) 1.00 121(35.6) 1.00
 $20,000- $49,999 763(26.9) 24 9(39.3) 1.53(1.10,2.12)* 547(28.5) 1.05(0. 85,1.31) 91(29.9) 0.92(0.57,1.49)
 $50,000- $74,999 368(13.6) 92 (10.8) 0.86(0.55,1.37) 235(12.8) 0.98(0.75,1.29) 43(11.0) 0.72(0.41,1.24)
 ≥ $75,000 666(27.3) 173(22.5) 1.04(0.74,1.45) 416(21.3) 0.80(0.66,0.97)* 71(23.5) 0.88(0.55,1.41)

Past-year Depression
 No 2,658(88.2) 50 2(69.4) 1.00 1,778(87.6) 1.00 222(71.7) 1.00
 Yes 299(11.8) 205(30.6) 3.40(2.05,5.63) 249(12.4) 1.29(0.92,1.82) 99(28.3) 2.92(2.15,3.96)

Past-year Anxiety
 No 2,749(91.6) 532(71.8) 1.00 1,853(89.8) 1.00 238(76.0) 1.00
 Yes 246(8.5) 186(28.2) 4.09(2.71,6.17) 211(10.2) 1.47(1.06,2.04)* 88(24.0) 4.15(2.56,6.74)

Past-year serious psychological distress
 No 2,372(78.2) 36 7(47.6) 1.00 1,448(71.6) 1.00 158(46.4) 1.00
 Yes 623(21.8) 351(52.4) 3.54(2.76,4.54) 616(28.4) 1.63(1.32,2.02)* 168(53.6) 4.52(3.11,6.57)

Past-year mental health treatment
 No 2,483(81.6) 41 7(52.9) 1.00 1,640(78.0) 1.00 203(59.9) 1.00
 Yes 502(18.4) 296(47.1) 3.95(2.78,5.62) 418(22.0) 1.51(1.08,2.10)* 120(40.1) 4.12(2.81,5.89)

Past-year SUD treatment
 No 2,866(95.2) 57 3(74.5) 1.00 1,852(90.3) 1.00 231(70.9) 1.00
 Yes 129(4.8) 145(25.5) 5.99(3.82,9.41) 212(9.7) 2.33(1.52,3.28) 95(29.1) 7.27(4.37,12.01)

Past-year deviant Behaviors
 No 2,497(84.6) 40 0(63.3) 1.00 1,103(56.9) 1.00 65(20.7) 1.00
 Yes 498(15.4) 318(36.7) 3.07(2.37,3.97) 961(43.1) 3.67(3.03,4.43) 261(79.3) 16.59(11.03,24.96)

Past-year arrest
 No 2,715(90.6) 55 5(80.2) 1.00 1,681(84.2) 1.00 201(66.7) 1.00
 Yes 280(9.4) 163(19.8) 2.03(1.54,2.67) 383(15.8) 1.53(1.17,1.99) 125(33.3) 3.36(2.14,5.28)

Past-year STD
 No 2,905(95.7) 68 9(97.0) 1.00 1,993(96.5) 1.00 304(90.4) 1.00
 Yes 90(4.3) 29(3.0) 0.68(0.33,1.40) 71(3.5) 0.86(0.49,1.51) 22(9.6) 2.95(1.47,5.95)

Note: aOR stands for adjusted odds ratio, CI for confidence interval and Wgt% for percentages weighted by the survey weights.

*

p<0.05,

p<0.01,

p<0.001

a

Adjusted model was adjusted for gender, age, race, marital status, employment, education, and income.