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ABSTRACT: Introduction
Major knowledge gaps regarding medical and nonmedical prescription stimulant use and illegal stimulant use (i.e., cocaine/crack/methamphetamine) by sexual identity and gender have implications for individuals' health and well-being. This study improves stimulant use measurement by differentiating the type of stimulant use and focusing on lesbian, gay, and bisexual subpopulations.Methods
Data were pooled for adults in the 2015-2017 National Survey on Drug Use and Health (n=126,463; analyzed in 2019). Gender-stratified logistic regression models examined associations between sexual identity and past-year illegal stimulant use. Gender-stratified multinomial logistic regression models estimated odds of (1) medical use only versus no past-year prescription stimulant
SUBMITTER: Philbin MM
PROVIDER: S-EPMC7577928 | biostudies-literature | 2020 Nov
REPOSITORIES: biostudies-literature