1. Use of cannabis for mental health in the Canadian territories: a cross-sectional study.
- Author
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Schwartz, Naomi, Poon, Theresa, Hammond, David, and Hobin, Erin
- Subjects
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SOCIODEMOGRAPHIC factors , *LOGISTIC regression analysis , *HARM reduction , *REGRESSION analysis , *CROSS-sectional method - Abstract
AbstractBackgroundMethodsResultsConclusionPopulation prevalence and patterns of cannabis use for mental health (CUMH) are underexplored. This is important to understand in the Canadian territories which has the highest prevalence of cannabis use in Canada. This study aimed to examine socio-demographic factors associated with CUMH in the territories and associations between CUMH and cannabis use outcomes.This study is a cross-sectional analysis of survey data from the 2022 Cannabis Policy Study in the Territories, including 2431 respondents aged 16+. Multivariable logistic regression models were used to examine socio-demographic characteristics associated with CUMH. Among past 12-month cannabis consumers, multivariable logistic regression models were used to examine whether CUMH was associated with daily/near-daily use, cannabis product type, healthcare interactions, and self-reported impacts on mental health, controlling for socio-demographic characteristics.Overall, 29.6% of all participants, and 55.5% of past 12-month cannabis consumers reported ever using cannabis for mental health. Use for mental health was higher among those with lower education, lower perceived income adequacy, and younger ages. Those reporting CUMH were more likely to report daily/near-daily use (ORadj = 3.00, 95%CI: 2.01–4.49), potent product types like solid concentrates (ORadj = 2.76, 1.62–4.70), and perceived positive impacts on mental health (ORadj = 3.71, 2.49–5.52).Due to the high prevalence of CUMH, more research is needed to examine its long-term impacts and effectiveness. Future research is also needed to understand the social context underlying socioeconomic inequalities in CUMH, including access to mental healthcare and harm reduction measures for mitigating adverse mental health impacts. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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