Trevor R Sexton1, Omayma Alshaarawy2. 1. College of Human Medicine, Michigan State University, East Lansing, MI, USA. 2. Department of Family Medicine, College of Human Medicine, Michigan State University, 788 Service Rd, East Lansing, MI, USA. Electronic address: alshaara@msu.edu.
Abstract
BACKGROUND: The aim of the current study is to estimate cannabis use prevalence among individuals with diabetes participating in the United States (US) National Survey on Drug Use and Health (NSDUH), 2005-2018. Plausible biological mechanisms link cannabis use and metabolic regulation. Cannabis use can also alter perception and adherence to treatment especially among patients with insulin-dependent diabetes. METHODS: The NSDUH is designed to select and recruit, annually, a representative sample of the non-institutionalized US population (12+ years). Computer-assisted self-interviews gathered information on cannabis use. The current study sample included 30,915 participants who self-reported a physician diagnosis of diabetes. RESULTS: Prevalence of past 30-day cannabis use increased 340% among individuals with diabetes, from 1.7% (95% confidence interval [CI] = 1.1, 2.6) in 2005 to 5.8% (95% CI = 4.7, 7.1) in 2018. Results from the logistic regression model indicated that this increase was robust (odds ratio of cannabis use per NSDUH year = 1.13; 95% CI = 1.10, 1.15). The increase was observed among different sociodemographic subgroups and in states with or without medical cannabis laws. CONCLUSIONS: As cannabis use prevalence increases, screening for use among diabetes patients is needed to optimize outcomes and reduce potential adverse effects.
BACKGROUND: The aim of the current study is to estimate cannabis use prevalence among individuals with diabetes participating in the United States (US) National Survey on Drug Use and Health (NSDUH), 2005-2018. Plausible biological mechanisms link cannabis use and metabolic regulation. Cannabis use can also alter perception and adherence to treatment especially among patients with insulin-dependent diabetes. METHODS: The NSDUH is designed to select and recruit, annually, a representative sample of the non-institutionalized US population (12+ years). Computer-assisted self-interviews gathered information on cannabis use. The current study sample included 30,915 participants who self-reported a physician diagnosis of diabetes. RESULTS: Prevalence of past 30-day cannabis use increased 340% among individuals with diabetes, from 1.7% (95% confidence interval [CI] = 1.1, 2.6) in 2005 to 5.8% (95% CI = 4.7, 7.1) in 2018. Results from the logistic regression model indicated that this increase was robust (odds ratio of cannabis use per NSDUH year = 1.13; 95% CI = 1.10, 1.15). The increase was observed among different sociodemographic subgroups and in states with or without medical cannabis laws. CONCLUSIONS: As cannabis use prevalence increases, screening for use among diabetespatients is needed to optimize outcomes and reduce potential adverse effects.
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