• Brian C Kelly, H Jonathon Rendina, Mike Vuolo, Brooke E Wells, and Jeffrey T Parsons.
• Department of Sociology, Purdue University, West Lafayette, USA; Research Center, Center for HIV Educational Studies and Training, New York, USA.
• Drug Alcohol Rev. 2015 Mar 1; 34 (2): 211-20.

Introduction And AimsPrescription drug misuse is a considerable problem among young adults, and the identification of types of misuse among this population remains important for prevention and intervention efforts. We use latent class analysis to identify possible distinct latent groups of prescription drug misusers across multiple prescription drug types (pain killers, sedatives and stimulants).Design And MethodsOur data are comprised of a sample of 404 young adults recruited from nightlife scenes via time-space sampling. Through the specification of a zero-inflated Poisson latent class analysis, we evaluate differences in class membership by various demographic factors as well as assess the relationship between class membership and health outcomes, including indications of dependence, problems associated with substance use and mental health.ResultsOur assessment of fit indices led to a four-class solution (dabblers, primary stimulant users, primary downers users and extensive regulars). No demographic differences existed between latent classes. The extensive regular class report the greatest number of symptoms related to dependence, greatest number of problems related to misuse and the greatest mental health problems. The dabblers report the fewest problems and symptoms, while the other two classes experiences problems and symptoms in between the classes on the extremes.Discussion And ConclusionsPrevention efforts should take into account that young adults who misuse prescription drug have different profiles of misuse, and there may be a need for varied interventions to target these different types of misuse.© 2014 Australasian Professional Society on Alcohol and other Drugs.

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