Studies of peer crowds show promise for enhancing public health promotion and practice through targeting. Distinct images, role models, and social norms likely influence health behaviors of different peer crowds within health disparity groups. We describe peer crowds identified by Black young people and determine whether identification with them is associated with smoking. Data from Black young people aged 13 to 20 in Richmond, Virginia, were collected via interview and online survey (N = 583). We identified the number and type of peer crowds using principal components analysis; associations with smoking were analyzed using Pearson chi-square tests and logistic regression. Three peer crowds were identified: “preppy,” “mainstream,” and “hip hop.” Youth who identify with the hip hop peer crowd were more likely to smoke and have friends who smoke and less likely to hold antitobacco attitudes than those identifying with Preppy or Mainstream crowds. Identifying with the hip hop crowd significantly increased the odds of smoking, controlling for demographic factors (OR = 1.97; 95% CI = 1.03–3.76). Tobacco prevention efforts for Black youth and young adults should prioritize the hip hop crowd. Crowd identity measures can aid in targeting public health campaigns to effectively engage those at highest risk.

Background: Adolescent vaping continues to rise, yet little is known about teen vape users beyond demographics. Effective intervention requires a deeper understanding of the psychographics and interests of adolescent vape users to facilitate targeted communication campaigns. Methods: We analyzed the 2017-2018 weighted cross-sectional online survey data from Virginia high school students (N = 1594) to identify and describe subgroups of adolescents who vaped. Participants reported 30-day vape use, identification with 5 peer crowds (Alternative, Country, Hip Hop, Mainstream, Popular), social prioritization, agreement with personal values statements, social media and smartphone use, and television and event preferences. We compared vaping rates and frequency by peer crowd using a chi-square analysis with follow-up testing to identify higher-risk crowds and confirmed associations using binary and multinomial logistic regression models with peer crowd scores predicting vaping, controlling for demographics. We then used chi-square and t tests to describe the psychographics, media use, and interests of higher-risk peer crowds and current vape users within those crowds. Results: Any current vaping was the highest among those with Hip Hop peer crowd identification (25.4%), then Popular (21.3%). Stronger peer crowd identification was associated with increased odds of any current vaping for both crowds, vaping on 1 to 19 days for both crowds, and vaping on 20 to 30 days for Hip Hop only. Compared with other peer crowds and non-users, Hip Hop and Popular youth and current vape users reported greater social prioritization and agreement with values related to being social and fashionable. Hip Hop and Popular youth and current vape users reported heavy Instagram and Snapchat use, as well as unique television show and event preferences. Conclusions: Hip Hop and Popular adolescents are most likely to vape and should be priority audiences for vaping prevention campaigns. Findings should guide the development of targeted health communication campaigns delivered via carefully designed media strategies.

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Purpose This paper aims to describe the social branding framework, which uses lifestyle branding to change behaviour within psychographically-defined target audiences. Syke, a social branding programme to reduce cigarette use within the higher-risk alternative teen peer crowd in Virginia, USA, is presented as a case study with evaluation results. Design/methodology/approach Social branding first creates an authentic lifestyle brand that appeals to a psychographically-defined audience. Once sociocultural authority is built, the lifestyle brand introduces tailored behavioural messaging using targeted messaging channels, relying on experiential marketing events and in-group influencers to align the desired behaviour with the audience’s social identity and values. The evaluation consisted of annual cross-sectional surveying (2011–2014; n = 2,266) on brand recall, liking, message comprehension and current smoking. Among those with recall, the prevalence of liking/comprehension categories (disliked and did not understand; liked or understood; liked and understood) and of smoking within categories was compared across years using chi-square tests. Multivariate logistic regression explored liking/comprehension as a predictor of smoking. Findings Recall, liking and comprehension were significantly higher in 2014 than in 2011, as was the proportion who both liked and understood Syke. Those who liked and understood Syke had half the odds of current smoking compared to those who disliked and did not understand it. Originality/value Syke reached, was liked by and was understood by the target audience. The social branding framework effectively appeals to and reaches higher-risk audiences, with learnings applicable to other behaviours and populations.

Audience segmentation is necessary in health communications to ensure equitable resource distribution. Peer crowds, which are macro-level teen subcultures, are effective psychographic segments for health communications because each crowd has unique mindsets, values, norms, and health behavior profiles. These mindsets affect behaviors, and can be used to develop targeted health communication campaigns to reach those in greatest need. Though peer crowd research is plentiful, no existing peer crowd measurement tool has been formally validated. As such, we developed and validated Virginia's Mindset Lens Survey (V-MLS), a mindset-based teen peer crowd segmentation survey to support health communication efforts. Using an online convenience sample of teens (N = 1,113), we assessed convergent and discriminant validity by comparing the V-MLS against an existing, widely-used peer crowd survey (I-Base Survey®) utilizing a multi-trait multi-method matrix. We also examined the V-MLS's predictive ability through a series of regressions using peer crowd scores to predict behaviors, experiences, and traits relevant to health communication campaign planning. The V-MLS demonstrated reliability and convergent and discriminant validity. Additionally, the V-MLS effectively distinguished teen peer crowds with unique health behaviors, experiences, and personal traits. When combined with appropriate information processing and campaign development frameworks, this new tool can complement existing instruments to inform message framing, tone, and style for campaigns that target at-risk teens to increase campaign equity and reach.