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Stigma in patients suffering from chronic disease is associated with worse clinical outcomes and secondary medical issues such as depression, anxiety, and decreased quality of life. We believe various forms of stigma can have different clinical significance in patients with inflammatory bowel disease (IBD). With further insight and research, we suggest that these forms of stigma could be identified and targeted by researchers or clinicians to lessen the psychological disease burden in patients and to potentially improve their physical well-being. In the current review, we discuss public perceptions, knowledge, and stigmatization of IBD, the prevalence of various forms of IBD stigma, and the impact of such stigma on patient outcomes. We also discuss IBD disclosure, its association with stigma, and the tendencies and effects of such disclosures among youth and adult patient populations. We finish the review by highlighting possible modalities and research areas for future IBD interventions.

The use of e-cigarettes and other vaping devices among adolescents is an urgent public health problem due to the concern about adolescent exposure to nicotine. This study examined: (1) adolescents’ knowledge and beliefs about e-cigarette risks; and (2) whether knowledge and risk beliefs were associated with e-cigarette use. N = 69 adolescents completed a cross-sectional survey about e-cigarette knowledge, attitudes (i.e., risk beliefs), and behavior (KAB). Nearly half (47%) of the sample reported ever using e-cigarettes. The majority of adolescents knew about many of the risks of e-cigarettes, with no differences between never- and ever-users. However, risk beliefs, such as worrying about health risks of using e-cigarettes, varied across groups. Compared to never-users, e-cigarette ever-users were significantly less likely to worry about e-cigarette health risks, less likely to think that e-cigarettes would cause them negative health consequences, and less likely to believe that e-cigarette use would lead to addiction. In a multivariable logistic regression, prior combustible cigarette use, mother’s education, and addiction risk beliefs about e-cigarettes emerged as significant predictors of adolescents’ e-cigarette use. This study reveals that while knowledge is not associated with adolescent e-cigarette use, risk beliefs do predict use.

This pilot study suggests that adolescents are receptive to e-cigarette health harms messages and that delivering such messages using text messaging is feasible and acceptable. Future research should systematically develop and test a broad set of e-cigarette health harms messages and examine their impact in a randomized controlled trial.

Introduction Evidence for the health harms of e-cigarettes is growing, yet little is known about which harms may be most impactful in health messaging. Our study sought to identify which harms tobacco product users were aware of and which most discouraged them from wanting to vape. Methods Participants were a convenience sample of 1,872 U.S. adult e-cigarette-only users, cigarette-only smokers, and dual users recruited in August 2018. In an online survey, participants evaluated 40 e-cigarette harms from seven categories: chemical exposures, device explosions, addiction, cardiovascular harm, respiratory harm, e-liquid toxicity, and other harms. Outcomes were awareness of the harms (“check all that apply”) and the extent to which the harms discouraged vaping (5-point scale; (1) “not at all” to (5) “very much”). Results Awareness of most e-cigarette harms was modest, being highest for harms in the device explosions category of harms (44%) and lowest for the e-liquid toxicity category (16%). The harms with the highest mean discouragement from wanting to vape were the respiratory harm (M = 3.82) and exposure to chemicals (M = 3.68) categories. Harms in the addiction category were the least discouraging (M = 2.83) compared with other harms (all p < .001). Findings were similar for e-cigarette-only users, cigarette-only smokers, and dual users. Conclusions Addiction was the least motivating e-cigarette harm, a notable finding given that the current FDA e-cigarette health warning communicates only about nicotine addiction. The next generation of e-cigarette health warnings and communication campaigns should highlight other harms, especially respiratory harms and the chemical exposures that may lead to health consequences. Implications E-cigarette health harms related to respiratory effects, chemical exposures, and other health areas most discouraged vaping among tobacco users. In contrast, health harms about addiction least discouraged use. Several countries have begun implementing e-cigarette health warnings, including the United States, and many others are considering adopting similar policies. To increase impact, future warnings and other health communication efforts should communicate about health harms beyond addiction, such as the effects of e-cigarette use on respiratory health. Such efforts should communicate that e-cigarette use is risky and may pose less overall risk to human health than smoking, according to current evidence.

Pictorial warnings on cigarette packs motivate smokers to quit, and yet the warnings’ theoretical mechanisms are not clearly understood. To clarify the role that risk appraisals play in pictorial warnings’ impacts, we conducted a meta-analysis of the experimental literature. We meta-analyzed 57 studies, conducted in 13 countries, with a cumulative N of 42,854. Pictorial warnings elicited greater cognitive elaboration (e.g., thinking about the risks of smoking; d = 1.27; p < .001) than text-only warnings. Pictorial warnings also elicited more fear and other negative affect (d = .60; p < .001). In contrast, pictorial warnings had no impact on perceived likelihood of harm (d = .03; p = .064), perceived severity (d = .16; p = .244), or experiential risk (d = .06; p = .449). Thus, while pictorial warnings increase affective and some cognitive risk appraisals, they do not increase beliefs about disease risk. We discuss the role of negative affect in warning effectiveness and the implications for image selection and warning implementation.

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