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Use of both cannabis and tobacco has surpassed use of tobacco alone among young adults in California. To better understand why, we collected data with 32 young adults ages 18-30 in Northern California who regularly used cigarettes and cannabis and had diverse sexual, gender, racial, and ethnic identities. Geographically-explicit ecological momentary assessment (EMA; 30 days) was integrated with qualitative mapping interviews. We found contrasting situations of use for cannabis (e.g., around other people) versus cigarettes (e.g., recent discrimination) and different reasons for why participants chose one substance over the other (e.g., enhancing experiences vs. stepping away). Understanding when and why diverse young adults choose cannabis versus cigarettes as they navigate everyday environments helps explain how cannabis and tobacco retail markets shape substance use disparities over time., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Background: Sexual minority young adults have higher smoking rates than the general young adult population, but reasons for this disparity are poorly understood. The current study aimed to: 1) identify real-time predictors of smoking among sexual minority and heterosexual smokers and 2) examine between-group differences in these predictors., Methods: We conducted an ecological momentary assessment (EMA) study in the San Francisco Bay Area, California in 2016-2017. Data from 84 young adult smokers (44% identified as sexual minority, including 29 bisexual and 8 gay/lesbian) with 6498 EMA assessments were analyzed. Both internal and external predictors and interaction terms between each predictor and sexual group were examined using generalized estimating equation models., Results: Common correlates of smoking were found for both groups (e.g., craving, absence of smoking bans, presence of other smokers, outside location, and seeing triggers). Unique factors for sexual minority smokers were being at a bar (aOR = 1.75, 95% CI = 1.06-2.90) and the number of other smokers present (aOR = 1.12, 95%CI = 1.04-1.20), while the presence of a smoking family member reduced the odds of smoking in this group (aOR = 0.13, 95%CI = 0.02-0.85). In interaction models, the number of other smokers exerted a greater influence on sexual minority participants compared to their heterosexual counterparts (aOR = 1.10, 95%CI = 1.01-1.20), while craving (aOR = 0.84, 95%CI = 0.75-0.93) and presence of a smoking family member (aOR = 0.11, 95%CI = 0.01-0.82) had weaker influences., Conclusions: Our study highlights unique situational factors associated with smoking among sexual minority young adults and differences in these factors by sexual identity. Future interventions targeting sexual minorities should address bar attendance and specific triggers., (Copyright © 2018 Elsevier B.V. All rights reserved.)

BackgroundMultiple drug use involves particular pleasures and risks, and is disproportionately practiced by some minority and socially marginalized groups. The unique patterns, intentions, and social contexts of multiple drug use for these groups are poorly understood.MethodsOur mixed method integrates geo-enabled smartphone survey data collection with a qualitative mapping interview method. This brief report presents data from one study participant to demonstrate this method's potential contributions to multiple drug use research for priority groups in different settings.Results'Jason's' data revealed the interrelated dynamics within his drug use repertoire and links between his substance use to rural life as a transgender person with autism spectrum disorder (ASD). Cigarettes played a role in coping with acute stress from repeatedly being misgendered. Cannabis intoxication helped manage social interactions as a person with ASD, while 'chasing' with cigarettes calibrated cannabis intoxication. Methamphetamine use related to managing body dysmorphia in a rural context with poor access to transgender health services.ConclusionThis mixed method can integrate reliable and ecologically valid assessments of multiple drug use repertoires and combination patterns with the place-embedded experiences, intersecting identities, structural barriers, and intentions related to multiple drug use for different priority groups.

Little is known about why bisexual people use tobacco at higher rates than any other sexual identity group. Non-binary sexualities, such as bisexuality, exist within the socially constructed borderland between homosexuality and heterosexuality. Exploration of the everyday smoking contexts and practices of bisexual individuals may reveal unique mechanisms driving tobacco use. We employed a novel mixed method, integrating real-time, smartphone-administered surveys of (non)smoking situations, location tracking, spatial visualization of participant data, and subsequent map-led interviews. Participants (n = 17; ages 18-26, California) identified as bisexual, pansexual, and/or queer. Most were cisgender women. Survey smoking patterns and situational predictors were similar to other young adults'. However, interviews revealed unique roles of tobacco use in participants' navigation of differently sexualized spaces in everyday life: 1) stepping away from uncomfortable situations related to bisexual identity; 2) facilitating belonging to LGBTQ+ community; and 3) recovering from bisexual identity perception management. Similar studies can examine the place-embedded practices and spatio-temporal patterns of other substance use and other stigmatized identity experiences.

BackgroundSexual minority young adults have higher smoking rates than the general young adult population, but reasons for this disparity are poorly understood. The current study aimed to: 1) identify real-time predictors of smoking among sexual minority and heterosexual smokers and 2) examine between-group differences in these predictors.MethodsWe conducted an ecological momentary assessment (EMA) study in the San Francisco Bay Area, California in 2016-2017. Data from 84 young adult smokers (44% identified as sexual minority, including 29 bisexual and 8 gay/lesbian) with 6498 EMA assessments were analyzed. Both internal and external predictors and interaction terms between each predictor and sexual group were examined using generalized estimating equation models.ResultsCommon correlates of smoking were found for both groups (e.g., craving, absence of smoking bans, presence of other smokers, outside location, and seeing triggers). Unique factors for sexual minority smokers were being at a bar (aOR = 1.75, 95% CI = 1.06-2.90) and the number of other smokers present (aOR = 1.12, 95%CI = 1.04-1.20), while the presence of a smoking family member reduced the odds of smoking in this group (aOR = 0.13, 95%CI = 0.02-0.85). In interaction models, the number of other smokers exerted a greater influence on sexual minority participants compared to their heterosexual counterparts (aOR = 1.10, 95%CI = 1.01-1.20), while craving (aOR = 0.84, 95%CI = 0.75-0.93) and presence of a smoking family member (aOR = 0.11, 95%CI = 0.01-0.82) had weaker influences.ConclusionsOur study highlights unique situational factors associated with smoking among sexual minority young adults and differences in these factors by sexual identity. Future interventions targeting sexual minorities should address bar attendance and specific triggers.

Tobacco use is increasingly concentrated within marginalized groups, including LGBTQ+ young adults. Developing tailored interventions to reduce tobacco-related health disparities requires understanding the mechanisms linking individual and contextual factors associated with tobacco use to behavior. This paper presents an in-depth exploration of three cases from a novel mixed method study designed to identify the situational factors and place-based practices of substance use among high-risk individuals. We combined geographically explicit ecological momentary assessment (GEMA) with an adapted travel diary-interview method. Participants (young adult bisexual smokers, ages 18-26) reported on non-smoking and smoking situations for 30 days with a smartphone app. GEMA surveys captured internal and external situational factors (e.g., craving intensity, location type, seeing others smoking). Continuous locational data was collected via smartphone GPS. Subsequently, participants completed in-depth interviews reviewing maps of their own GEMA data. GEMA data and transcripts were analyzed separately and integrated at the case level in a matrix. Using GEMA maps to guide the interview grounded discussion in participants' everyday smoking situations and routines. Interviews clarified participant interpretation of GEMA measures and revealed experiences and meanings of smoking locations and practices. The GEMA method identified the most frequent smoking locations/times for each participant (e.g., afternoons at university). Interviews provided description of associated situational factors and perceptions of smoking contexts (e.g., peer rejection of bisexual identity) and the roles of smoking therein (e.g., physically escape uncomfortable environments). In conclusion, this mixed method contributes to advancing qualitative GIS and other hypothesis-generating approaches working to reveal the richness of individuals' experiences of the everyday contexts of health behavior, while also providing reliable measures of situational predictors of behaviors of interest, such as substance use. Limitations of and future directions for the method are discussed.