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Background: The tobacco industry uses product descriptors to communicate reduced harm and increase appeal. This cross-sectional study assessed store-level racial, ethnic, and socioeconomic inequities in the distribution of retail tobacco product descriptors in a convenience sample of retailers in Washington, DC. Methods: Young adults (n = 146) who did not currently use tobacco reported real-time store visits over 14 days. Trained data collectors took high-resolution photographs of all tobacco (including e-cigarette) marketing in each store (n = 96) participants visited. We coded text descriptors on tobacco product advertisements and displays into descriptor categories (eg, fruit, sweet, concept). We fit multilevel models to examine relationships between store neighborhood census tract-level racial, ethnic, and socioeconomic characteristics and tobacco product descriptors in stores. As a supplementary analysis, we used geospatial methods to model predicted patterns of descriptors at the census tract level. Results: Stores located in census tracts with the highest versus lowest percentage of Black residents had a greater count of fruit, sweet or dessert, alcohol, and concept descriptors (p < .05), similar to findings from the geospatial approach. Adjusted models also indicated some inequities in stores in census tracts with higher percentages of Hispanic or Latino residents for fruit, alcohol, and concept descriptors; however, tract-level models showed opposite results for concept flavors. Conclusions: In this convenience sample, fruit, alcohol, sweet/dessert, and concept FTP descriptors were prevalent in stores in neighborhoods with more Black residents demonstrated through two analytic approaches. Surveillance using representative samples of tobacco retailers could improve the ability to track the extent of this inequity. Implications: We document inequities in the amount of fruit, sweet or dessert, alcohol, and concept flavor descriptors in stores across neighborhoods in Washington, DC. Federal, state, and local regulatory action is needed to reduce inequities in flavored tobacco product availability and marketing, including for concept flavors. [ABSTRACT FROM AUTHOR]

BackgroundSmoking remains a leading cause of preventable death and illness. Internet interventions for smoking cessation have the potential to significantly impact public health, given their broad reach and proven effectiveness. Given the dose-response association between engagement and behavior change, identifying strategies to promote engagement is a priority across digital health interventions. Text messaging is a proven smoking cessation treatment modality and a powerful strategy to increase intervention engagement in other areas of health, but it has not been tested as an engagement strategy for a digital cessation intervention. ObjectiveThis study examined the impact of 4 experimental text message design factors on adult smokers’ engagement with an internet smoking cessation program. MethodsWe conducted a 2×2×2×2 full factorial screening experiment wherein 864 participants were randomized to 1 of 16 experimental conditions after registering with a free internet smoking cessation program and enrolling in its automated text message program. Experimental factors were personalization (on/off), integration between the web and text message platforms (on/off), dynamic tailoring of intervention content based on user engagement (on/off), and message intensity (tapered vs abrupt drop-off). Primary outcomes were 3-month measures of engagement (ie, page views, time on site, and return visits to the website) as well as use of 6 interactive features of the internet program. All metrics were automatically tracked; there were no missing data. ResultsMain effects were detected for integration and dynamic tailoring. Integration significantly increased interactive feature use by participants, whereas dynamic tailoring increased the number of features used and page views. No main effects were found for message intensity or personalization alone, although several synergistic interactions with other experimental features were observed. Synergistic effects, when all experimental factors were active, resulted in the highest rates of interactive feature use and the greatest proportion of participants at high levels of engagement. Measured in terms of standardized mean differences (SMDs), effects on interactive feature use were highest for Build Support System (SMD 0.56; 95% CI 0.27 to 0.81), Choose Quit Smoking Aid (SMD 0.38; 95% CI 0.10 to 0.66), and Track Smoking Triggers (SMD 0.33; 95% CI 0.05 to 0.61). Among the engagement metrics, the largest effects were on overall feature utilization (SMD 0.33; 95% CI 0.06 to 0.59) and time on site (SMD 0.29; 95% CI 0.01 to 0.57). As no SMD >0.30 was observed for main effects on any outcome, results suggest that for some outcomes, the combined intervention was stronger than individual factors alone. ConclusionsThis factorial experiment demonstrates the effectiveness of text messaging as a strategy to increase engagement with an internet smoking cessation intervention, resulting in greater overall intervention dose and greater exposure to the core components of tobacco dependence treatment that can promote abstinence. Trial RegistrationClinicalTrials.gov NCT02585206; https://clinicaltrials.gov/ct2/show/NCT02585206. International Registered Report Identifier (IRRID)RR2-10.1136/bmjopen-2015-010687

Background: Medical cannabis currently dominates the U.S. cannabis advertising landscape. The public is increasingly exposed to outdoor cannabis advertising, which increases positive attitudes about and intentions to use cannabis. Research is lacking regarding outdoor cannabis advertising content. This article characterizes the content of outdoor cannabis advertising in Oklahoma, one of the fastest growing U.S. medical cannabis markets. Methods: We conducted a content analysis of cannabis advertising billboard images (n = 73) from Oklahoma City and Tulsa, photographed May 2019–November 2020. We followed a primarily inductive, iterative team approach to thematically analyze billboard content in NVIVO. We reviewed all images, identified a broad coding taxonomy, and then incorporated emergent codes and those related to advertising regulation (e.g. youth/children). We totaled frequencies of code application across billboards and reexamined billboards for final themes. Results: Major themes were social meanings related to cannabis subculture, formal medical systems, and nature, and the presence of company contact information. Minor themes related to convenience, price promotions, store proximity, U.S. affiliation, product quality, and spirituality. State advertising regulation violations were rare, with the exception of content that may promote curative or therapeutic effects (4%) and misrepresentation of product state of origin (1.4%). Conclusion: Outdoor medical cannabis advertising in Oklahoma blurs boundaries between formal medical discourses and cannabis subculture that is suspicious of messaging from authorities and regards cannabis as harmless and natural. Increased monitoring of advertising regulation compliance and greater understanding of social discourses within emerging markets is needed to promote public health within the context of cannabis advertising. [ABSTRACT FROM AUTHOR]

Item response theory (IRT) methods were applied to items from the 80-item Psychological Inventory of Criminal Thinking Styles (PICTS; G. D. Walters, 1995) to determine how well they measure the latent trait of criminal thinking in a group of 2,872 male medium security prison inmates. Preliminary analyses revealed that the 64 PICTS thinking style items, 32 PICTS proactive criminal thinking items, and 24 PICTS reactive criminal thinking items were sufficiently unidimensional to meet the local independence requirements of IRT. The PICTS was fitted to a 2-parameter logistic-graded response IRT model, the results of which showed that the 8 items measuring denial of harm (Sentimentality) displayed weak discrimination (a less than 0.5), whereas most of the proactive and reactive items displayed moderate to good discrimination (a greater than 1.0). Information function analysis revealed that all 3 components of a hierarchical model of criminal thinking--PICTS total scale, PICTS proactive factor, and PICTS reactive factor--displayed greater precision at higher rather than lower levels of the trait dimension. The study findings indicate that items from the PICTS Sentimentality scale do a poor job of measuring general criminal thinking, whereas items from the other 7 PICTS thinking style scales provide their most precise estimates at the upper end of the trait dimension. (Contains 4 footnotes, 4 tables, and 3 figures.)

Objective: This study examined the associations between college students' self-reported alcohol use and corresponding collateral reports and identified factors that influence agreement between both sets of reports. Participants/Methods: Subject-collateral pairs (N = 300) were recruited from undergraduate psychology courses. Results: Data yielded moderate correlations between subject-collateral pairs for all alcohol use measures, whereas discrepancy analyses revealed a tendency for subjects to report greater alcohol use relative to collateral reports. Greater subject-collateral agreement regarding frequency of subject alcohol use was predicted by a greater frequency of shared drinking occasions between the dyads, lower subject self-reported drug use, and lower levels of collateral guessing, whereas greater correspondence for quantity of alcohol consumed was predicted by fewer subject self-reported alcohol-related negative consequences, lower levels of subject self-reported drug use, and lower levels of alcohol ingestion among collaterals. Conclusions: College students appear to provide reasonably accurate self-reports of their alcohol use. (Contains 3 tables.)