Cognitive and affective responses to marijuana prevention and educational messaging

Examining indirect effects of advertising exposure on young adults' cannabis and nicotine vaping

OBJECTIVE

To examine longitudinal associations between exposure to two types of advertisements (medical/recreational cannabis and e-cigarette retailers [vape shops]) and young adults' cannabis and nicotine vaping behavior. Positive and negative expectancies for cannabis and vaping nicotine were examined as mediators of these associations.

METHOD

Secondary analysis of observational data from a longitudinal cohort of young adults recruited from Southern California (Wave 13: N = 2,411, 56% female, Mage = 23.6). Participants completed web-based surveys annually, reporting on advertising exposure in 2018, expectancies in 2019, and cannabis and nicotine vaping in 2020. Two path models were specified: (a) of past-month cannabis vaping only, nicotine vaping only, and co-use (vs. no vaping) and (b) of single product vaping (vs. co-use). Path analyses modeled direct and indirect associations between variables.

RESULTS

Controlling for past-month cannabis and nicotine use and other covariates, there were no significant direct associations of advertising exposure with cannabis and/or nicotine vaping. However, the association between cannabis advertising exposure and vaping (cannabis only) was significantly mediated by positive cannabis expectancies (β = 0.02, SE = 0.01, p = .03). Among those who vaped cannabis and/or nicotine in the past month at Wave 13, expectancies did not significantly mediate associations between advertising exposure and single product use (vs. co-use).

CONCLUSIONS

Although exposure to cannabis advertisements may not be directly associated with young adults' cannabis vaping 2 years later, the effects of advertising exposure may be exerted indirectly by increasing positive beliefs about cannabis. Implications for public health policy are discussed. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Development and Validation of the RAFFLE: A Measure of Reasons and Facilitators for Loot Box Engagement

Qualitative studies have identified a diverse array of motivations for purchasing items within video games through chance-based mechanisms (i.e., "loot boxes"). Given that some individuals-particularly those at risk of disordered gaming and/or gambling-are prone to over-involvement with loot box purchasing, it is important to have a reliable, valid means of measuring the role of different motivations in driving purchasing behaviour. Building on prior qualitative research, this paper reports the development and validation of the "RAFFLE" scale, to measure the Reasons and Facilitators for Loot box Engagement. A 23-item, seven-factor scale was developed through cognitive interviews (n = 25) followed by two surveys of UK-based gamers who purchase loot boxes; analysed via exploratory (n = 503) and confirmatory (n = 1495) factor analysis, respectively. Subscales encompassed "enhancement'; "progression'; "social pressure'; "distraction/compulsion'; "altruism'; "fear of missing out'; and "resale". The scale showed good criterion and construct validity (correlating well with measures of loot box engagement; the risky loot box index (r = 0.63) and monthly self-reported spend (r = 0.38)), and good internal validity (Cronbach's alpha = 0.84). Parallels with, and divergence from, motivations for related activities of gaming and gambling, and alignment with broader theoretical models of motivation, are discussed.

Integrating Self-Report and Psychophysiological Measures in Waterpipe Tobacco Message Testing: A Novel Application of Multi-Attribute Decision Modeling

BACKGROUND

Waterpipe (i.e., hookah) tobacco smoking (WTS) is one of the most prevalent types of smoking among young people, yet there is little public education communicating the risks of WTS to the population. Using self-report and psychophysiological measures, this study proposes an innovative message testing and data integration approach to choose optimal content for health communication messaging focusing on WTS.

METHODS

In a two-part study, we tested 12 WTS risk messages. Using crowdsourcing, participants (N = 713) rated WTS messages based on self-reported receptivity, engagement, attitudes, and negative emotions. In an in-lab study, participants (N = 120) viewed the 12 WTS risk messages while being monitored for heart rate and eye-tracking, and then completed a recognition task. Using a multi-attribute decision-making (MADM) model, we integrated data from these two methods with scenarios assigning different weights to the self-report and laboratory data to identify optimal messages.

RESULTS

We identified different optimal messages when differently weighting the importance of specific attributes or data collection method (self-report, laboratory). Across all scenarios, five messages consistently ranked in the top half: four addressed harms content, both alone and with themes regarding social use and flavors and one addiction alone message.

DISCUSSION

Results showed that the self-report and psychophysiological data did not always have the same ranking and differed based on weighting of the two methods. These findings highlight the need to formatively test messages using multiple methods and use an integrated approach when selecting content.