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Abstract Background Previous literature on cutaneous squamous cell carcinoma (cSCC) suggests that the incidence, rate of metastasis, and tumour severity of cSCC are higher in immunosuppressed patients than in immunocompetent patients. However, current literature lacks an extensive comparison of cSCC clinical characteristics and outcomes in immunosuppressed patients. Objectives We compared cSCC tumour characteristics and disease‐related outcomes to help guide the clinical management of immunosuppressed patients. Methods We conducted a retrospective review of histopathologic and clinical data from 935 cSCC cases (19.5% immunosuppressed) from the Mayo Clinic. Results Immunosuppression was associated with younger age (69.3 vs. 74.8 years old, p

Abstract Background Primary cutaneous B‐cell lymphoma (PCBCL) is a group of B‐cell lymphomas of the skin containing primary cutaneous follicle centre lymphoma (PCFCL) and marginal zone B‐cell lymphoma/lymphoproliferative disorder (PCMZL), which are indolent, and diffuse large B‐cell lymphoma, leg type (PCDLBCL‐LT), which is aggressive. Objectives To evaluate treatment outcomes between PCBCL subtypes after treatment with rituximab and to compare the efficacy of intralesional against systemic rituximab in indolent subtypes. Methods A search for patients diagnosed with PCBCL and treated with rituximab (systemic or intralesional) across all Mayo Clinic sites was performed, yielding 39 patients. Results Eight patients had PCFCL (six treated intralesionally and two systemically), 11 had PCMZL (four intralesional, eight systemic with one dual‐treated) and 20 had PCDLBCL‐LT (all systemic). The average age at diagnosis was 62.1 years (SD = 15.1), with average follow‐up of 1852.6 days (SD = 1473.2). 69.2% of all patients treated with any form of rituximab experienced a complete response (100% PCFCL, 81.8% PCMZL and 50% PCDLBCL‐LT). When comparing all three subtypes, a significant difference was seen in overall treatment response (p = 0.022), and progressive disease rates (p = 0.015), but not in retreatment with rituximab (p = 0.440), time to retreatment (p = 0.757), recurrence (p = 0.907) or survival (p = 0.093). In the indolent subtypes, no difference in overall treatment response (p = 1.000), progressive disease rates (p = 1.000), recurrence (p = 0.650), rituximab retreatment (p = 0.650) or time to retreatment (p = 0.724) was observed. Conclusions This study suggests that rituximab, as systemic therapy and intralesional therapy, is effective in the management of PCBCL, and that intralesional therapy should be considered before more aggressive therapy in indolent disease.

IntroductionYoung adult never-smokers who vape are at elevated risk of initiating cigarettes, while young adults who smoke often begin vaping to substitute or reduce cigarette use. Reasons underlying different use patterns of tobacco products are not well-understood.Aims and methodsWe conducted 1-on-1 qualitative interviews with young adults (N = 62) who vape in Los Angeles, California from June 2018 to June 2019. Participants were 18-25 years old (79% male; racially/ethnically diverse) and self-reported vaping ≥1x/week. We used a semi-structured interview guide and applied thematic analysis method to analyze data.ResultsYoung adults initiated vaping due to peer socialization and e-liquid flavor novelty. They often reported vaping (after first smoking) due to a belief that e-cigarettes are healthier, social pressure to quit smoking, and convenience of use. Participants reported smoking (after first vaping) when traveling outside of the United States where vaping products were less accessible, and cigarettes were normative. Many of the personal narratives described patterns of dual and cyclical use, which was often attributed to nicotine dependence and cost, or described as dependent upon the current environment (eg, at a party).ConclusionsThe current study characterizes nicotine use trajectories and reasons why young adults vape, and smoke cigarettes. Dual and cyclical use of both e-cigarettes and cigarettes was common; this pattern of use should be considered in policy and prevention work to address nicotine dependence among young people.ImplicationsWe display findings from the current study in a model depicting common trajectories of nicotine use, along with reasons for initiation, transitions between products, and dual/cyclical e-cigarette and combustible cigarette use.

IntroductionPrevious studies suggest that young adults who vape nicotine experience difficulty when answering survey items assessing the quantity of vaping. The current study asked young adults who vape to provide suggestions for improving the scientific measurement of vaping.Aims and methodsWe conducted semi-structured qualitative interviews with 62 young adults who vape in Los Angeles, California between June 2018 and June 2019. We analyzed participants' responses to the following question: "What do you think is the best way for us to understand how much people vape?" using thematic content analysis.ResultsWe identified two major themes: (1) challenges stemming from differences between the way researchers query about vaping and how individuals self-monitor vaping frequency, and (2) insights for future measurement of vaping. Participants reported that challenges of accurately quantifying vaping were due to inherently hard-to-answer questions (eg, puffs per day), lack of awareness of or not actively monitoring consumption of vaping products, or because vaping behaviors vary considerably between and within individuals over time, making "on-average" questions challenging. Participants discussed ideas for improving survey measures that could accurately assess vaping quantity, including querying about the type of device used, and frequency of replenishment of nicotine solutions.ConclusionsExisting vaping behavior survey measures may not accurately capture the quantity of vaping as they differ from how (or if) participants track their own vaping consumption patterns. While continued research is needed to optimally refine survey measures on vaping consumption, future measures may better align with vapers' self-monitoring by including questions on device-type and replenishment frequency.ImplicationsThe present study provides insights regarding the variability that exists between vaping quantity measurements utilized by researchers and individuals who consume e-cigarettes. The qualitative data analyzed for this study support previous reports of difficulties faced by vapers when asked questions by researchers related to their vaping behavior. Furthermore, the present findings suggest the direction for the future development of accurate measurements of vaping frequency.

Oral nicotine pouches may appeal to young adult current nicotine/tobacco users interested in alternative forms of nicotine that lack pulmonary exposure, but may also appeal to young adult non-users of nicotine/tobacco products. We used data from a 2020 remote digital survey of an ongoing cohort study of young adults from Southern California (aged 19-23) to examine differences in pouch perceptions and use willingness across nicotine/tobacco use statuses. Participants who had never used nicotine pouches (N = 1167) viewed text/imagery from mass-marketed pouch packaging and advertising, then completed measures of willingness to use nicotine pouches, pouch harm perceptions, and hypothetical choice of cigarettes or e-cigarettes over pouches. Willingness to use pouches was significantly higher among non-combustible only (33.8%), combustible only (29.3%), and dual (43.9%) users than non-users (14.7%). Overall, 49.1% of participants were uncertain whether pouches were less harmful than cigarettes and 52.4% were uncertain whether pouches were less harmful than e-cigarettes. Relative harm perceptions did not significantly differ by tobacco use status. Those using non-combustible products (either alone or as part of dual use with combustible tobacco) had greater odds than non-users of reporting that they would use e-cigarettes over nicotine pouches. By contrast, all tobacco product user groups reported greater odds than non-users that they would use cigarettes over pouches. In sum, a sizable minority of young adults might be willing to try using nicotine pouches, but most are uncertain about the relative harm of pouches.

BackgroundWhile rates of e-cigarette use ('vaping') continue to potentiate concern, there is limited data on common symptoms of e-cigarette dependence among young adults who vape. This study sought to critically explore how young adults experience, manifest, and conceptualize vaping dependence symptoms in their everyday lives.MethodsBetween June 2018 and 2019, in-depth qualitative interviews were conducted with 62 young adults who use e-cigarettes (aged 18-25) and live in Southern California. We explored participants' product preferences, daily e-cigarette use patterns, vaping history, withdrawal experiences, and quit attempts or periods of cessation. We used a thematic analysis approach to interpret the transcripts.ResultsYoung adults discussed nine dimensions of vaping dependence that were organized into two categories: 1) general nicotine dependence symptoms, and 2) unique dependence symptoms related to vaping. Nicotine dependence symptoms included cravings and urgency to use, increased use to achieve desired effects, and unsuccessful quit attempts and withdrawal. Symptoms unique to vaping dependence included greater nicotine consumption due to accessibility and lack of restrictions, habitual vaping, inability to track vaping frequency, immediate gratification and comfort, social acceptability and norms, and awareness of vaping dependency.ConclusionsIn addition to nicotine dependence symptoms that have been characterized for other tobacco products, young adult e-cigarette users described unique symptoms of vaping dependence that necessitate the need for more refined measures. All dimensions of vaping dependence should be considered in discussions of policies as well as treatment and education efforts intended to protect young people from e-cigarette dependence.

Background: Vaping among young adults (YA) has been associated with adverse respiratory health outcomes. However, key gaps remain in the literature including perspectives from YA vapers on perceived respiratory health symptoms since vaping, how they describe those symptoms and related experiences, and factors to which they attribute their respiratory health symptoms. Methods: Participants (N = 35) were 18-25 years old and self-reported as currently vaping at least once per week. In-depth, semi-structured qualitative interviews were conducted using an open-ended interview guide designed to elicit respondents' subjective vaping-related experiences. We used a thematic analysis to interpret the transcripts. Results: Participants reported adverse respiratory health symptoms (e.g., phlegm, cough, pain in lungs) that some attributed to vaping. Participants compared what is known about vaping to what is known about combustible cigarettes and described continued use of vaping products despite perceived adverse respiratory health consequences. Some participants attributed their symptoms to preexisting medical conditions (e.g., asthma) and to heavy vaping. Some described a decline in exercise-related endurance since vaping. Some participants also reported that they experienced worse respiratory symptoms when using specific brands and products (e.g., JUUL and nicotine salt formulation). Conclusions: This study provides powerful accounts from YA vapers about their experience of respiratory health symptoms that they ascribe to vaping. Future research is needed to evaluate the prevalence and severity, as well as the risk and protective factors, of adverse respiratory health symptoms associated with vaping. Addiction prevention and treatment efforts for YA vapers may help curtail adverse respiratory health impact from vaping.

IntroductionCalifornia implemented multiple strategies, such as a Tobacco 21 law and compliance checks, to reduce high rates of youth e-cigarette use. However, the prevalence of use among underage youth and young adults continues rising. Little is known about how underage individuals obtain e-cigarettes.Aims and methodsWe conducted structured qualitative interviews with 61 young adult (18-25 years old) vapers in the Los Angeles, CA area between June 2018 and June 2019. Interviews were comprehensive and designed to elicit information on participants' thoughts, feelings, and experiences related to vaping. We queried participants on where and how they obtained vaping products, and participants discussed their experiences accessing products while under the legal age for sale. Directed content analysis was used to analyze interviews.ResultsFour concepts emerged: (1) early experimentation of e-cigarettes with peers often occurred in a school setting, (2) continued use of e-cigarettes commonly obtained through peer sales, (3) inconsistent implementation of age restrictions at in-person retailers, and (4) at online retailers. Participants had peers purchase products on their behalf and frequented in-person and online retailers with few to no age verification processes. Few participants faced challenges when purchasing products from retailers.ConclusionsThe current study's findings offer insight into where and how underage individuals obtain vaping products despite restrictions to prevent them from doing so. Participant accounts of mixed ease of underage purchasing in-person and online suggest retailer education is needed, along with additional research to inform more effective policies to reduce underage access to vaping products.ImplicationsDespite legal age restrictions, e-cigarettes remain accessible to underage individuals, but specific strategies that underage youth utilize to evade legal age restrictions are largely unknown. We found that participants often accessed vaping products for the first time at school. Sales between peers were common, and participants also reported frequenting in-person retailers that inconsistently enforced age restrictions. Many participants reported little to no age verification online, though some believed online age verification measures were increasingly difficult to surpass. Knowledge of strategies underage youth utilize to access e-cigarettes can inform enforcement efforts.

The aim of this analysis was to test if changes in insomnia symptoms and global sleep quality are associated with coinciding changes in depressed mood among older adults. We report on results yielded from secondary analysis of longitudinal data from a clinical trial of older adults (N = 49) aged 55 to 80 years who reported at least moderate levels of sleep problems. All measures were collected at baseline and after the trial ten weeks later. We computed change scores for two separate measures of disturbed sleep, the Athens Insomnia Scale (AIS) and the Pittsburgh Sleep Quality Index (PSQI), and tested their association with change in depressed mood (Beck Depression Inventory-II; BDI-II) in two separate linear regression models adjusted for biological covariates related to sleep (sex, age, body mass index, and NF-κB as a biological marker previously correlated with insomnia and depression). Change in AIS scores was associated with change in BDI-II scores (β = 0.38, p < 0.01). Change in PSQI scores was not significantly associated with change in BDI-II scores (β = 0.17, p = 0.26). Our findings suggest that improvements over ten weeks in insomnia symptoms rather than global sleep quality coincide with improvement in depressed mood among older adults.

Abstract Background While rates of e-cigarette use (‘vaping’) continue to potentiate concern, there is limited data on common symptoms of e-cigarette dependence among young adults who vape. This study sought to critically explore how young adults experience, manifest, and conceptualize vaping dependence symptoms in their everyday lives. Methods Between June 2018 and 2019, in-depth qualitative interviews were conducted with 62 young adults who use e-cigarettes (aged 18–25) and live in Southern California. We explored participants’ product preferences, daily e-cigarette use patterns, vaping history, withdrawal experiences, and quit attempts or periods of cessation. We used a thematic analysis approach to interpret the transcripts. Results Young adults discussed nine dimensions of vaping dependence that were organized into two categories: 1) general nicotine dependence symptoms, and 2) unique dependence symptoms related to vaping. Nicotine dependence symptoms included cravings and urgency to use, increased use to achieve desired effects, and unsuccessful quit attempts and withdrawal. Symptoms unique to vaping dependence included greater nicotine consumption due to accessibility and lack of restrictions, habitual vaping, inability to track vaping frequency, immediate gratification and comfort, social acceptability and norms, and awareness of vaping dependency. Conclusions In addition to nicotine dependence symptoms that have been characterized for other tobacco products, young adult e-cigarette users described unique symptoms of vaping dependence that necessitate the need for more refined measures. All dimensions of vaping dependence should be considered in discussions of policies as well as treatment and education efforts intended to protect young people from e-cigarette dependence.

To estimate the extent to which drinking to cope with the COVID-19 pandemic and experiencing pandemic-related life stressors are associated with alcohol use escalation among young adults. Respondents in Los Angeles, CA, USA (N = 2,130) completed prospective cohort study surveys before (baseline; October 2018–November 2019; mean age: 19.7[SD = 0.4]) and during (follow-up; May–August 2020) the COVID-19 outbreak. Past 30-day drinking days and number of drinks per drinking day were assessed from baseline to follow-up. At follow-up, participants reported drinking to cope with social isolation and pandemic-related stressors. Pandemic-related stressor prevalence ranged from 5.5% (evicted/lost home) to 72.6% (worried about education) and 27.1% drank to cope with social isolation during the pandemic. Respondents who did (vs. did not) report pandemic-related coping drinking were more likely to increase past 30-day drinking days and drinks per drinking day from baseline to follow-up after adjustment for possible confounders. Employment loss/reduction, financial problems, and perceived likelihood of contracting COVID-19 or handling the pandemic poorly were each associated with increases in drinking days or drinks per drinking day. Experiencing certain life stressors and drinking to cope with social isolation may be associated with drinking escalation among young adults during the COVID-19 pandemic. [ABSTRACT FROM AUTHOR]

Early adolescence is a pivotal developmental period when multiple health risk behaviors, such as obesity and substance use, are often established. Several psychosocial factors, often considered traits, have been independently associated with these increases, including executive function (EF), mindfulness disposition (MD), perceived stress, distress tolerance (DT), and anhedonia. However, these factors have not been evaluated for their conjoint relationships to determine whether different patterns may signal greater or lesser risk for obesity and substance use, and whether the same patterns relate to obesity and substance use in the same ways (same magnitude of risk). To evaluate these patterns, a latent profile analysis was conducted, resulting in a three-profile model. Profile 1 (8% of sample) was characterized by the lowest levels of EF, MD, DT and highest levels of stress and anhedonia, profile 2 (44%) intermediate levels, and profile 3 (48%) the highest levels of EF, MD, DT and lowest levels of stress and anhedonia. Youth classified to profile 1 reported significantly greater levels of both obesogenic and substance use behaviors relative to other profiles. Findings suggest that adolescents engaging in obesogenic and substance use behaviors may share common profiles of psychosocial risk., Author(s): Christopher M. Warren [sup.1] , Afton Kechter [sup.2] , Georgia Christodoulou [sup.2] , Christopher Cappelli [sup.2] , Mary Ann Pentz [sup.2] Author Affiliations: (1) grid.168010.e, 0000000419368956, Sean N Parker [...]

Screen-based sedentary behaviors and emotional disorders are associated with one another in youth. Yet, the direction of the association is unclear, as is whether specific types of screen-based sedentary behaviors and emotional disorder symptoms are more closely linked. This study estimated the bi-directional associations between two types of screen-based sedentary behaviors and four types of self-reported emotional disorder symptoms, and tested whether physical activity buffered these associations in a Los Angeles high school student cohort (N = 2525, baseline Mage = 14.6 years). Participants completed baseline (9th Grade, 2013) and 12-month follow-up (10th grade, 2014) surveys reporting on: television viewing and computer/videogame use (≥4 h/day; yes/no), physical activity (≥60 min/day for ≥5 days/week), and Major Depressive Disorder (MDD), Generalized Anxiety Disorder (GAD), Panic Disorder (PD), and Social Phobia (SP) symptoms (meet/exceed [sub]clinical symptom threshold; yes/no). After adjusting for baseline screen-based sedentary behavior and covariates, students with (sub)clinical baseline MDD and GAD were at increased odds of high computer/videogame use one year later (OR = 1.36[95%CI, 1.07–1.73]; OR = 1.36[95%CI,1.09–1.71], respectively). Baseline SP was marginally related to increased computer/videogame use at follow-up (OR = 1.33[95%CI,1.04–1.69]). Greater baseline computer/videogame use was associated with increased odds of (sub)clinical GAD (OR = 1.54[95%CI,1.23–1.94]) and (sub)clinical SP (OR = 1.64[95%CI 1.27–2.12]) at follow-up; these associations were suppressed among baseline physically active students. Television viewing was unrelated to emotional disorder symptoms and PD was not associated with screen-based sedentary behaviors. Thus, only reciprocal associations between computer/videogame use, SP, and GAD during a one-year period of adolescence were observed. Interventions reducing computer/videogame use and increasing physical activity may improve adolescent emotional health. Keywords: Sedentary behavior, Anxiety, Depression, Youth

E-cigarette use has increased among young adults, and emerging research suggests a subset of young adults report using e-cigarettes for appetite control/weight loss. The current article examined the association of e-cigarette weight control beliefs with subsequent e-cigarette initiation. Data were collected via online surveys from a prospective cohort study of young adults in Southern California (N= 1,368) at baseline (May-October 2020; M [SD]age=21.2 [0.4]) and 6 months later (January-May 2021). Binary logistic regression models were used to evaluate the association of e-cigarette weight control beliefs (i.e., perceptions that e-cigarettes help people lose weight and satisfy hunger and desire to eat unhealthy foods) with new onset e-cigarette use at follow-up. All models were adjusted for sociodemographic characteristics. Among individuals who had never used e-cigarettes at baseline, those who agreed (vs. disagreed) that e-cigarettes help people lose weight had more than three times the odds of initiating e-cigarette use by follow-up (OR [95% CI]: 3.24 [1.52, 6.62]). Similarly, thosewho agreed (vs. disagreed) that vaping certain e-cigarette flavors help satisfy hunger and desire to eat unhealthy foods had more than twice the odds of initiating e-cigarette use by follow-up (OR [95% CI]: 2.40 [1.15, 4.82]). Findings highlight that e-cigarette weight control beliefs are an important risk factor for vaping initiation. Future interventions and policies aiming to prevent vaping among young adults should address e-cigarette weight control beliefs and long-term health consequences from related use. [ABSTRACT FROM AUTHOR]