Latent Classes of Tobacco and Cannabis Use among Youth and Young Adults in the United States

Identifying predictors of multi-year cannabis vaping in U.S. Young adults using machine learning

INTRODUCTION

Increasing number of current cannabis users report using a vaporized form of cannabis and young adults are most likely to vape cannabis. However, the number of studies on cannabis vaping is limited, and predictors of cannabis vaping among U.S. young adults remain unclear. Previous studies on cannabis vaping have known limitations, as they (1) relied heavily on regression-based approaches that often fail to examine complex and non-linear interactive effects, (2) focused on examining cannabis vaping initiation but not on its use over multiple years, and (3) failed to account for recreational cannabis legalization (RCL) status.

METHODS

This study was a secondary analysis of the restricted use files of the Population Assessment of Tobacco and Health Study, Waves 4-6 (December 2016-November 2021). A two-stage machine learning approach, which included Least Absolute Shrinkage and Selection Operator (LASSO) and Classification and Regression Tree (CART), was used to identify predictors of multi-year cannabis vaping while accounting for state-level RCL status among a representative sample of U.S. young adults.

RESULTS

Stratified CART created a five-terminal-node prediction model for states with RCL (split by cannabis use, cigarette use, bullying behavior, and ethnicity) and a different five-terminal-node prediction model for states without RCL (split by cannabis use, heroin use, nicotine vaping, and hookah use).

CONCLUSIONS

Characteristics predicting multi-year cannabis vaping appear to differ from those of cannabis vaping initiation. Results also highlight the importance of accounting for RCL status because predictors of cannabis vaping may differ for individuals living in states with and without RCL.

Immigration status-related exclusive e-cigarette use and cannabis use and their dual use disparities associated with mental health disorder symptoms

INTRODUCTION

E-cigarette and cannabis use has been linked to various health risks, including respiratory and cardiovascular conditions. Yet, extant knowledge about the risk factors for exclusive and dual use of e-cigarettes and cannabis is limited, especially among immigrants. We examined exclusive e-cigarette and cannabis use and their dual use associated with mental health disorders among immigrants and U.S.-born.

METHODS

We analyzed national cross-sectional data collected between May 13, 2021, and January 9, 2022, among adults aged >18 years (n= 4766) living in U.S. Multinomial logistic regression analyses were conducted to model the associations of exclusivity and dual-use (reference group= non-use) with anxiety/depression.

RESULTS

The dual-use prevalence was higher than exclusive e-cigarette and cannabis use, especially among U.S.-born (dual use= 14.79% vs. cannabis use= 13.53% vs. e-cigarette use= 7.11%) compared to immigrants (dual use= 8.23% vs. cannabis use= 5.03% vs. e-cigarette use= 6.31%). Immigrants had lower risks of exclusive cannabis and dual use compared to U.S.-born. Anxiety/depression was associated with higher risks of exclusive cannabis use and dual use across immigration status, but was associated with exclusive e-cigarette use among only immigrants. While effect sizes of dual-use associated with anxiety/depression were higher among U.S.-born, the effect sizes of exclusive e-cigarette and cannabis use associated with anxiety/depression were higher among immigrants.

CONCLUSIONS

The findings revealed significant mental health risks for e-cigarette, cannabis, and their dual use among immigrants and U.S.-born, especially among U.S.-born. These findings highlight the need for public health research and interventions to consider immigration status-related disparities in substance use.

Racial and Ethnic Disparities in Mental Health Problems and Tobacco and Cannabis Use Among US Emerging Adults

INTRODUCTION

Mental health problems in emerging adulthood are linked to tobacco and cannabis use, but whether race and ethnicity modifies these associations is unclear.

METHODS

We used data from wave 4 of the Population Assessment of Tobacco and Health Study (youth n = 6898, young adult n = 10,304) to conduct latent class analysis (LCA) of six past 30-day tobacco and cannabis use indicators (i.e., cigarettes, electronic nicotine delivery systems (ENDS), cigars, blunts, cannabis vaping, other cannabis). We estimated associations between past 30-day internalizing and externalizing (i.e., low (referent), moderate, high) problems and latent classes of tobacco/cannabis use (vs. never/former use) using adjusted multinomial logistic regression. We explored whether associations varied by race and ethnicity through stratification.

RESULTS

We identified four exclusive use latent classes and two dual/poly use latent classes for both youth and young adult samples. Race/ethnicity-stratified models identified associations between internalizing/externalizing problems and most use classes for Hispanic and non-Hispanic White youth/young adults, with mixed results for non-Hispanic Black youth/young adults. For example, Hispanic (OR: 2.50, 95% CI: 1.09-5.74) and non-Hispanic White (OR: 1.90, 95% CI: 1.18-3.06) youth with high internalizing problems had higher odds of ENDS + cannabis vaping. Externalizing problems were not associated with use among non-Hispanic Black youth while internalizing problems were not associated with use among non-Hispanic Black young adults.

CONCLUSION

We observed racial/ethnic variation in mental health problems and tobacco and cannabis use. Understanding mental health problem and tobacco product and cannabis use comorbidity may better inform culturally relevant interventions aimed to prevent and reduce use.