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. Author manuscript; available in PMC: 2011 Mar 7.
Published in final edited form as: JAMA. 2010 May 19;303(19):1954–1960. doi: 10.1001/jama.2010.621

Table 2.

Results of logistic models of effects of race, age-cohort, and race-by-age-cohort interaction, on rates of adult psychiatric and substance use disorders, controlling for age at assessment, gender, race/ethnicity of interviewer, current household income, family history of poverty, and adolescent psychiatric symptoms

Race Age-cohort Race by age-cohort
Odds
Ratio
95% CI p Odds
Ratio
95% CI p Odds
Ratio
95% CI p
Any diagnosis 0.46 0.30, 0.72 .001 0.77 0.58, 1.01 .059 1.30 1.07, 1.60 .009
Any substance use disorder 0.58 0.32, 0.90 .014 0.80 0.61, 1.05 .109 1.25 1.03, 1.53 .027
Alcohol abuse/dependence 0.49 0.29, 0.79 .004 0.86 0.64, 1.16 .337 1.33 1.06, 1.67 .012
Cannabis abuse/dependence 0.58 0.35, 0.96 .036 0.89 0.64, 1.24 .506 1.32 1.04,.1.67 .019
Nicotine dependence 1.05 0.65, 1.71 .829 0.92 0.67, 1.28 .643 0.99 0.79, 1.25 .985
Other drug abuse/dependence3 0.79 0.25, 2.45 .691 0.99 0.43,.2.26 0.985 1.14 0.68, 1.92 .599
Any emotional disorder1 0.52 0.24, 1.10 .089 0.70 0.44, 1.12 .143 1.14 0.80, 1.65 .452
Any behavioral disorder2 0.56 0.14, 2.22 .410 1.38 0.71, 2.69 .344 1.40 0.80, 2.43 .410
1

Any DSM-IV anxiety or depression diagnosis.

2

Any DSM-IV conduct, oppositional or antisocial personality disorder.

3

Any abuse of or dependence on cocaine, amphetamines, inhalants, opioids, hallucinogens, or sedatives.