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E-cigarette use among youth remains a significant public health concern. In 2018

Introduction Perceived message effectiveness (PME) is a common metric to understand receptivity to tobacco prevention messages, yet most measures have been developed with adults. We examined adolescents’ interpretation of language within candidate items for a new youth-targeted PME measure using cognitive interviewing. We sought to understand the meaning adolescents assigned to our candidate PME items to improve item wording. Aims and Methods Participants were 20 adolescents, ages 13–17 years from the United States. Cognitive interviews used a structured guide to elicit feedback on comprehension, answer retrieval, and language regarding a set of Reasoned Action Approach-based survey items that assessed the PME of smoking and vaping prevention ads. We employed thematic analysis to synthesize findings from the interviews. Results Interviews identified three main issues related to survey items: ambiguity of language, word choice (risk and other terminology), and survey item phrasing. Adolescents preferred direct, definitive language over more ambiguous phrasing which they saw as less serious (eg, “will” instead of “could”). For risk terminology, they preferred terms such as “harmful” and “dangerous” over “risky,” which was viewed as easy to discount. The term “negative effects” was interpreted as encompassing a broader set of tobacco harms than “health effects.” Adolescents said that the term “vape” was preferable to “e-cigarette,” and identified ways to simplify item wording for greater clarity. Conclusions Tobacco risk terms that appear similar differ in meaning to adolescents, and more direct and unambiguous language is preferred. Our findings informed changes to the PME scale items to improve clarity and reduce measurement error. Implications This study adds to the literature on how adolescents interpret tobacco prevention language. Adolescents may interpret terminology differently than adults, which could lead to ambiguity in meaning and thus measurement error. Through cognitive interviewing, we identified and improved the language in a youth-focused PME measure for tobacco and vaping prevention.

Many cancer survivors experience illness intrusion or disruption in various life domains from cancer. The socioecological model posits that individual health status is produced by the interaction of individual biology and their surrounding physical, social, and cultural environment. Despite evidence of the need to consider such hierarchical influences, little is known about the impact of area-level factors on cancer-related outcomes, including illness intrusiveness. Data from 993 breast, colorectal, and prostate cancer survivors within the first year of completing treatment were analyzed. Individual-level data for the Illness Intrusiveness Ratings Scale were linked to census tract-level data to characterize neighborhood conditions. Logistic regression modeled the association between individual-level variables, neighborhood-level racial composition, and the interaction between individual and area-level race on illness intrusiveness. A significant number of survivors (232, 23.4%) reported relatively high illness intrusiveness (score >28). The model including the interaction between area- and individual-level race exhibited significantly improved model fit (p < .05). The final model showed that racial minorities living in areas with a higher percentage of racial minorities had higher odds of greater illness intrusion when compared to Whites living in areas with a low percentage of racial minorities (adjusted odds ratio: 1.65, confidence interval: 1.01, 2.68). Results suggest that area-level factors can have profound effects on survivors' processing of their past cancer experience. Findings may support the collective resources model which posits that the effect of area deprivation is greater in certain sociodemographic groups who may find it difficult to seek resources outside of their living area.

State and local health departments have been tasked with promoting the use of face coverings to decrease the spread of COVID-19 in their respective communities. However, little is known about motivations and barriers to wearing face coverings in the context of COVID-19 prevention, particularly among communities of color who are at an increased risk of serious illness from the disease. The purpose of this study was to identify common motivations and barriers to face covering use, as well as explore perceptions of messages encouraging the use of face coverings among a racially and ethnically diverse sample. A survey was distributed electronically to North Carolina (NC) residents through NC Department of Health and Human Services listservs in July 2020. Participants self-categorized as Latino/a (33.5%), Black (39.1%), or white or another race (27.5%). The most commonly endorsed motivations for wearing face coverings were to avoid spreading COVID-19 (77%), as well as to protect people who are vulnerable (76%) and one’s community (72%). Being uncomfortable (40%) was the most commonly endorsed barrier. Messages that included a clear request (ex. please wear a face covering) and a direct benefit (ex. keep community safe) were more commonly endorsed than those that did not. Commonly endorsed motivations, behaviors, and messages differed by race and ethnicity. Increased attention to message content, message structure, and access to information and resources may aid local officials in increasing consistent use of face coverings.

Widespread use of face coverings is a key public health strategy to prevent the spread of COVID-19. However, few studies have examined why Americans use or do not use face coverings, and little is known about the most effective messaging strategies. This study explored perceptions of face coverings, including motivations and barriers for use, and examined reactions to messaging promoting the use of face coverings. Six virtual focus groups were conducted with 34 North Carolina residents in July 2020. Participants reported high compliance with face covering recommendations but often did not wear them around family, friends, and colleagues. The most prevalent motivation for the use of face coverings was to protect or respect other people, including high-risk populations and individuals. Other motivators were self-protection, responsibility, desire for control, requirements, and expert advice. Barriers included physical and social discomfort, confusion or misinformation, low perceived susceptibility to COVID-19, and perceptions of identity and autonomy. Even among individuals who frequently wear face coverings, there are opportunities to improve compliance. Messaging should highlight how face coverings protect the wearer and others around them, normalize the use of face coverings in social settings, and emphasize requirements. Positive messages that focus on unity, personal experiences and the rationale for face coverings are recommended.

Background Engaging socioeconomically disadvantaged populations in health research is vital to understanding and, ultimately, eliminating health-related disparities. Digital communication channels are increasingly used to recruit study participants, and recent trends indicate a growing need to partner with the social service sector to improve population health. However, few studies have recruited participants from social service settings using multiple digital channels. Objective This study aimed to recruit and survey 3791 adult clients of a social service organization via telephone and digital channels. This paper aimed to describe recruitment outcomes across five channels and compare participant characteristics by recruitment channel type. Methods The Cancer Communication Channels in Context Study recruited and surveyed adult clients of 2-1-1, a social service–focused information and referral system, using five channels: telephone, website, text message, web-based live chat, and email. Participants completed surveys administered either by phone (if recruited by phone) or on the web (if recruited from digital channels, ie, website, text message, Web-based live chat, or email). Measures for the current analysis included demographic and health characteristics. Results A total of 3293 participants were recruited, with 1907 recruited by phone and 1386 recruited from digital channels. Those recruited by phone had a moderate study eligibility rate (42.23%) and the highest survey completion rate (91.24%) of all channels. Individuals recruited by text message had a high study eligibility rate (94.14%) yet the lowest survey completion rate (74.0%) of all channels. Sample accrual goals were achieved for phone, text message, and website recruitment. Multivariable analyses found differences in participant characteristics by recruitment channel type. Compared with participants recruited by phone, those recruited from digital channels were younger (adjusted odds ratio [aOR] 0.96, 95% CI 0.96-0.97) and more likely to be female (aOR 1.52, 95% CI 1.23-1.88), married (aOR 1.52, 95% CI 1.22-1.89), and other than non-Hispanic black (aOR 1.48, 95% CI 1.22-1.79). Those recruited via phone also were more likely to have more than a high school education (aOR 2.17, 95% CI 1.67-2.82), have a household income ≥US $25,000 a year (aOR 2.02, 95% CI 1.56-2.61), and have children living in the home (aOR 1.26, 95% CI 1.06-1.51). Additionally, participants recruited from digital channels were less likely than those recruited by phone to have public health insurance (aOR 0.75, 95% CI 0.62-0.90) and more likely to report better overall health (aOR 1.52, 95% CI 1.27-1.83 for good-to-excellent health). Conclusions Findings indicate the feasibility and utility of recruiting socioeconomically disadvantaged adults from the social service sector using multiple communication channels, including digital channels. As social service–based health research evolves, strategic recruitment using a combination of traditional and digital channels may be warranted to avoid underrepresentation of highly medically vulnerable individuals, which could exacerbate disparities in health.

PurposeTobacco prevention media campaigns are an important tool to address youth tobacco use. We developed a theory-based perceived message effectiveness (PME) Scale to use when vetting messages for campaigns.MethodsParticipants were a national sample of N=623 US adolescents (ages 13–17 years) recruited from a national probability-based panel. In an online experiment, we randomised adolescents to view tobacco prevention ads. All participants viewed an ad on smoking or vaping from the US Food and Drug Administration’sThe Real Costcampaign and a control video, in a random order. After ad exposure, we assessed PME using nine candidate items and constructs for convergent and criterion validity analyses. We used confirmatory factor analysis and examined information curves to select the scale items.ResultsA brief PME scale with three items (α=0.95) worked equally well for demographically diverse adolescents with different patterns of tobacco use.The Real Costads generated higher PME scores than the control videos for both vaping and smoking (convergent validity; pConclusionsThe University of North Carolina PME Scale for Youth is a reliable and valid measure of the potential effectiveness of vaping and smoking prevention ads. Employing PME scales during message development and selection may help youth tobacco prevention campaigns deploy more effective ads.

Purpose: Social influences on health are inadequately understood, hindering progress in eliminating disparities in cancer. One such influence, social isolation, is well established as an independent risk factor for mortality and comparable in magnitude to other risks such as obesity. Social isolation is associated with smoking, which is increasingly concentrated in socioeconomically disadvantaged (SED) populations. However, the association between social isolation and smoking is understudied. This study examined the extent to which psychosocial, life-contextual, and health care factors account for the social isolation-smoking relationship among SED adults. Methods: The study used data from a cross-sectional survey of SED adults (N=3064) recruited from an information and referral program that helps individuals with meeting basic needs (e.g., food). Measures included current smoking status, social isolation, psychosocial factors (stress, loneliness), life-contextual factors (unmet basic needs), health care factors (time since last routine checkup, health self-efficacy), and demographics. A social isolation score was derived using a modified version of the Social Network Index. Bivariate analyses and multivariable logistic regression examined the association between social isolation and smoking. Path analyses estimated indirect associations between social isolation and smoking via psychosocial, life-contextual, and health care factors while controlling for demographics. Path analyses used full information maximum likelihood with robust estimation and the theta parameterization. Model fit was assessed using the comparative fit index (CFI ≥0.95) and root mean square error of approximation (RMSEA Results: The sample was predominantly female (81%), non-Hispanic Black (79%), and highly SED, with 44% having a high school education or less and 52% having an annual household income less than $10,000. Overall, 29% of participants were current smokers, and 62% were highly socially isolated. Social isolation was associated with smoking, with only 10% of the least isolated individuals smoking currently compared to 39% of the most socially isolated individuals (p Conclusions: Findings elucidate possible mechanisms driving the social isolation-smoking relationship in SED populations, suggesting several potential intervention approaches for reducing cancer disparities. Evidence-based interventions that consider psychosocial and life-contextual issues may be especially salubrious for SED populations. This abstract is also being presented as Poster A090. Citation Format: Kassandra I. Alcaraz, Rhyan N. Vereen, Antonika Souder, Alan Bienvenida. Contextualizing the association between social isolation and smoking among socioeconomically disadvantaged adults: Psychosocial, life-contextual, and health care factors [abstract]. In: Proceedings of the Eleventh AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2018 Nov 2-5; New Orleans, LA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(6 Suppl):Abstract nr PR02.

Objective: Effective smoking cessa­tion interventions are needed to reduce tobacco-related disparities. Communication technology-based interventions are increas­ingly being employed to help smokers quit, with controlled research demonstrating effi­cacy of text messaging and email in increas­ing abstinence. Understanding preferences for such strategies among socioeconomically disadvantaged smokers can inform targeted intervention planning. The aims of this study were to: 1) examine socioeconomically disadvantaged smokers’ use of and access to communication technology; and 2) elucidate preferences for receiving quitting information and support via email and text message.Design: This cross-sectional, mixed-methods study collected data from a self-administered survey and focus groups in September 2017.Participants: A community-based, sample of 15 predominantly African American, socioeconomically disadvantaged smokers aged 21-64 years.Results: Smartphone ownership was high, although use of communication-based cessation resources such as web sites and smartphone apps was low. Four themes emerged relevant to preferences for receiv­ing quitting information and support via email and text message: access, appro­priateness, intended use, and satisfaction. Although initially participants were mixed in their preferences for receiving emails vs texts, 80% preferred emails over texts when presented with sample emails and text mes­sages containing cessation information.Conclusions: In this sample of socioeco­nomically disadvantaged smokers, emails were preferred over text messages for smoking cessation assistance. Although both email and text message strategies may be acceptable to socioeconomically disadvantaged smokers generally, issues such as access and intended use should be considered to inform specific disparity-reducing intervention approaches.Ethn Dis. 2018;28(3):161-168; doi:10.18865/ ed.28.3.161.