Addictive behaviors · 2022
Marijuana use modifies the association between heavy alcohol consumption and tobacco use patterns among US adults: Findings from Behavioral Risk Factor Surveillance System, 2020.
СтатьяПоддержка NIH: внешняя программаНазвание и аннотация: Перевод в очереди
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Osibogun Olatokunbo, Erinoso Olufemi, Gautam Prem, Bursac Zoran, Osibogun Akin
Аннотация
OBJECTIVE: This study explored the associations of heavy alcohol consumption with current e-cigarette, cigarette and dual use of e-cigarettes and cigarettes among a nationally representative sample of adults in the United States (US), and if these associations are modified by marijuana use.
METHODS: Data from 157,138 adults who participated in the 2020 Behavioral Risk Factor Surveillance System (BRFSS) were included in this cross-sectional analysis. Multinomial logistic regression was used to estimate the strength of the associations between heavy alcohol consumption (independent variable) and the tobacco use patterns (dependent variable, i.e., non-use, current e-cigarette use, current cigarette use and current dual use of e-cigarettes and cigarettes). We also assessed the interaction between past-month marijuana use and heavy alcohol consumption on the primary outcome.
RESULTS: After the adjustment for potential confounders, heavy alcohol consumption (relative to no heavy alcohol consumption) was associated with higher odds of current e-cigarette (3.91 [2.25-6.78]), cigarette (3.02 [2.28-3.99]) and dual (4.78 [3.25-7.01]) use. The test for interaction showed that the associations of heavy alcohol consumption with the tobacco use patterns were modified by past-month marijuana use (p < 0.05 for all groups), with associations being much stronger among past-month marijuana non-users.
CONCLUSIONS: Heavy alcohol consumption is positively associated with current e-cigarette, cigarette, and dual use among US adults. Further, the findings indicate that these relationships are modified by past-month marijuana use. Longitudinal research is needed to explore the role of marijuana in the association of heavy alcohol consumption with current e-cigarette, cigarette and dual use among adults.
METHODS: Data from 157,138 adults who participated in the 2020 Behavioral Risk Factor Surveillance System (BRFSS) were included in this cross-sectional analysis. Multinomial logistic regression was used to estimate the strength of the associations between heavy alcohol consumption (independent variable) and the tobacco use patterns (dependent variable, i.e., non-use, current e-cigarette use, current cigarette use and current dual use of e-cigarettes and cigarettes). We also assessed the interaction between past-month marijuana use and heavy alcohol consumption on the primary outcome.
RESULTS: After the adjustment for potential confounders, heavy alcohol consumption (relative to no heavy alcohol consumption) was associated with higher odds of current e-cigarette (3.91 [2.25-6.78]), cigarette (3.02 [2.28-3.99]) and dual (4.78 [3.25-7.01]) use. The test for interaction showed that the associations of heavy alcohol consumption with the tobacco use patterns were modified by past-month marijuana use (p < 0.05 for all groups), with associations being much stronger among past-month marijuana non-users.
CONCLUSIONS: Heavy alcohol consumption is positively associated with current e-cigarette, cigarette, and dual use among US adults. Further, the findings indicate that these relationships are modified by past-month marijuana use. Longitudinal research is needed to explore the role of marijuana in the association of heavy alcohol consumption with current e-cigarette, cigarette and dual use among adults.