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Identifying Problematic Substance Use in a National Sample of Adolescents Using Frequency Questions
Laura J Chavez1, Katharine A Bradley2, Gwen T Lapham2
1From the College of Public Health, Division of Health Services Management and Policy, Ohio State University, Columbus, OH (LJC, TMW, DJC); Nationwide Children's Hospital, Research Institute, Columbus (LJC, DJC); Kaiser Permanente Washington Health Research Institute, Seattle, WA (KAB, GTL); College of Medicine, Department of Pediatrics, Ohio State University, Columbus (DJC). laura.chavez@nationwidechildrens.org.
Background:
Brief substance use screening questions for tobacco, alcohol, cannabis, and other drugs need further validation in adolescents. In particular, optimal age-specific screening cut-points are not known, and no study has been large enough to evaluate screening questions for noncannabis illicit drug use.
Methods:
Adolescent respondents to an annual national household survey were included (2008 to 2014; n = 169,986). Days of tobacco use in the past month, and days of alcohol, cannabis, other illicit drug use in the past year, were assessed as brief screens for tobacco dependence and DSM-IV alcohol (AUD), cannabis (CUD), and other illicit drug use disorders (DUD). Areas under receiver operating characteristics curves (AUCs), sensitivity and specificity were estimated separately by age group (12-15-, 16-17-, and 18-20-year-olds) and cut-points that maximized combined values of sensitivity and specificity were considered optimal.
Results:
The prevalence of tobacco dependence, AUD, CUD, and DUD was 5.8%, 7.1%, 4.5%, and 2.0%, respectively. AUCs ranged 0.84 to 0.99. The optimal cut-points for screening for tobacco dependence and DUDs was the same for all age groups: ≥1 day. The optimal cut-points for alcohol and cannabis varied by age: ≥3 days for 12-15-year-olds and ≥12 days for older adolescents.
Conclusions:
Brief measures of past-year use, or past-month use for tobacco, accurately identified adolescents with problematic substance use. However, health systems should use age-specific screening cut-points for alcohol and cannabis to optimize screening performance.
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