Explore the vast range of titles available.

The capability of electronic cigarette devices (e-cigs) to deliver nicotine is key to their potential to replace combustible cigarettes. We compared nicotine delivery and subjective effects associated with the use of two classes of e-cigarettes and cigarettes. 14 e-cigarette users were instructed to vape their own e-cigarette device every 20 seconds for 10 minutes while blood was drawn at 1, 2, 4, 6, 8, 10,12, and 15 minutes after initiating vaping. Users rated withdrawal symptoms and side effects before and after vaping. E-cigarette devices were classified as first-generation (same size as cigarette, no activation button) or advanced (larger than cigarette with an activation button). Separately, 10 cigarette smokers completed a similar protocol. Fisher's Exact Test and two-sided t-tests were used as appropriate to determine differences in outcomes between first-generation e-cigarette users, advanced e-cigarette users, and smokers. Compared to first-generation devices, advanced devices were associated with greater serum nicotine Cmax (ng/ml) (11.5 v. 2.8, p = 0.0231) and greater nicotine boost (ng/ml) (10.8 v. 1.8, p = 0.0177). Overall, e-cigarettes users experienced a significant reduction in withdrawal and craving, although there were no significant differences between users of first-generation and advanced devices. Comparing e-cigarettes overall to cigarettes, cigarettes were associated with greater Cmax (25.9 v. 9.0, p = 0.0043) and greater nicotine boost (21.0 v. 8.2, p = 0.0128). Advanced e-cigarettes delivered significantly more nicotine than first-generation devices but less than combustible cigarettes. Overall, e-cigarette use was associated with a reduction in withdrawal and craving with no reported side effects. The wide variation in nicotine absorption from different e-cigarette devices should be considered in studies of e-cigarettes for smoking cessation.

COVID-19 has become a global pandemic, with over 81 million cases worldwide. To assess changes in tobacco use as a result of the pandemic, we surveyed a convenience sample of current tobacco users between April and June 2020. The sample was taken from a tobacco user research registry (n = 3396) from the Penn State College of Medicine in Hershey, Pennsylvania, USA. Participants who responded to the survey and were eligible for this study (n = 291) were 25.6% male, 93% white, and had a mean age of 47.3 (SD = 11.6) years. There were no reports of participants testing positive for COVID-19, but 21.7% reported experiencing symptoms associated with the virus. Most participants (67%) believed that their risk of contracting COVID-19 was the same as non-tobacco users, but 57.7% believed that their risk of serious complications, if infected, was greater compared to non-tobacco users. A total of 28% reported increasing their cigarette use during the pandemic. The most common reasons for increased use were increased stress, more time at home, and boredom while quarantined. Nearly 15% reported decreasing their tobacco use. The most common reasons for reduced use were health concerns and more time around non-smokers (including children). A total of 71 (24.5%) users reported making a quit attempt. Characterizing these pandemic-related changes in tobacco use may be important to understanding the full scope of subsequent health outcomes resulting from the pandemic. Tobacco cessation resources should be tailored to allow for safe, appropriate access for those interested in quitting.

The coronavirus disease (COVID-19) pandemic has spread in the US with more than 100 million human infections and a million deaths since March 2020. A population of concern are high-risk individuals such as adults who are tobacco users, since COVID-19 is a respiratory disease that affects the lungs. Although 79% of the US population ≥ 18 years of age have completed the primary COVID-19 vaccine series; it is imperative to understand the factors associated with receiving or declining the COVID-19 vaccine among high-risk populations to improve vaccination rates. Guided by the diffusion of innovations (DOI) theory, this study identified factors associated with COVID-19 vaccination and the impact on COVID-19 vaccine uptake in adults who use tobacco. We conducted a cross-sectional study using a sample of Pennsylvanian adult tobacco users by sending a unique survey link to 4,081 email addresses in April 2022. Participants were asked about tobacco use, COVID-19 vaccination status, and reasons for receiving/declining the COVID-19 vaccine. Participants (n = 157) were 75% female, 96% White, 74% current tobacco users, and had a mean age of 50.1 (SD = 10.8) years. Nearly 78% (n = 119) received at least one dose of the COVID-19 vaccine (primary series). We categorized all vaccinated tobacco users into adopter categories of the DOI theory; innovators (10%), early adopters (14%), early majority (33%), late majority (11%), and laggards (32%). The major reason that prompted participants to get the COVID-19 vaccine was to ensure they were well protected against COVID-19 infection (77%). Additionally, the only reason for receiving the vaccine that significantly predicted early vaccine uptake (being an innovator or early adopter) was “to loosen restrictions on mask mandates and social/physical distancing” (p = 0.0180). Among the 22% that did not receive a COVID-19 vaccine, the most common major reason they declined the vaccine was because they felt politics played a big role in the vaccine development process (94%). Our findings suggest that major f actors that influenced why adult tobacco users would receive or decline the COVID-19 vaccine included infection control mandates, protection from the COVID-19 infection, and politics. Investigating these factors can help public health professionals design or develop future vaccination programs for high-risk populations in order to scale up vaccination rates.

Novel mRNA vaccines have been developed and were first distributed to high-risk individuals (including smokers) in the United States starting in December 2020 to combat the coronavirus (COVID-19) pandemic. Over one-half of the U.S. adult population has received at least 1 dose of a COVID-19 vaccine, but many others have reported hesitation about becoming vaccinated. We examined COVID-19 vaccine uptake and hesitancy from a convenience sample of Pennsylvanian adult smokers in April 2021, approximately 3 months after tobacco users were eligible to receive vaccination in the state. Participants (n = 231) were 23.4% male, 90.5% white, and had a mean age of 48.1 (SD = 11.9) years. All participants were current tobacco users, with the majority reporting current cigarette smoking (90.9%) with an average of 16 (SD = 8.1) cigarettes smoked per day. Nearly 60% (n = 137) reported receiving at least 1 dose of the vaccine and of those who did not (n = 94), 84% (n = 79) said they were somewhat or very unlikely to get a vaccine. Those who were unvaccinated were more likely to not consume news about COVID-19 (chi-square P-value < .01) and less likely to believe government news sources as reliable information for COVID-19 (chi-square P-value < .01). Qualitative responses among those who were vaccine hesitant expressed concerns about the lack of research on the vaccine, distrust of the safety of the vaccine, and fears about side effects. Understanding vaccine hesitancy among tobacco users can help develop targeted communication strategies and directly address concerns to promote vaccination among this population who may be at an increased risk of severe complications from COVID-19.

Substance abuse (SA), depression, and type 2 diabetes (DM2) often co-occur among people living with HIV (PLHIV). Guided by a syndemic framework, this cross-sectional retrospective study examined the cumulative and interaction effects of SA, depression, and DM2 on retention in HIV care (RIC) among 621 PLHIV receiving medical care in central Pennsylvania. We performed logistic regression analysis to test the associations between SA, depression, and DM2 and RIC. To test the “syndemic” model, we assessed additive and multiplicative interactions. In an unadjusted model, a dose-response pattern between the syndemic index (total number of health conditions) and RIC was detected (OR for 1 syndemic factor vs. none: 1.01, 95% CI: 0.69–1.47; 2 syndemic factors: 1.59, 0.89–2.84; 3 syndemic factors: 1.62, 0.44–5.94), but no group reached statistical significance. Interactions on both additive and multiplicative scales were not significant, demonstrating no syndemic effect of SA, depression, and DM2 on RIC among our study sample. Our findings highlight that comorbid conditions may, in some populations, facilitate RIC rather than act as barriers, which may be due to higher levels of engagement with medical care.

Background Over one-quarter of all smokers in the United States identify as non-daily smokers and this number is projected to rise. Unlike daily smokers who typically maintain consistent levels of nicotine exposure with regular smoking, non-daily smokers have variable patterns of smoking that likely result in high intraindividual variability in nicotine intake. The current study aimed to characterize the weekly intraindividual variability in cotinine and identify smoking-related predictors in nondaily smokers. Methods An ecological momentary assessment of 60 non-daily smokers ages 24–57 years was conducted over a consecutive 7-day at-home protocol to log each smoking session, assessments of mood and social activity during smoking, and collection of daily saliva samples in a convenience sample from Pennsylvania, USA. Hierarchical linear regression analyses were conducted to determine the effects of smoking characteristics on total cotinine exposure measured by pharmacokinetic area under the curve and the range, maximum, and minimum cotinine values during the week controlling for demographic variables. Results The mean daily cotinine level was 119.2 ng/ml (SD = 168.9) with individual values that ranged from nondetectable to 949.6 ng/ml. Menthol predicted increased total cotinine levels ( P  < 0.05). Shorter time to the first cigarette of the day predicted significantly higher minimum ( P <  0.05), maximum ( P <  0.05), and total cotinine values ( P <  0.05) after controlling for covariates. Negative emotions and social interactions with others were also significantly associated with higher cotinine metrics. There was no significant effect of the nicotine metabolite ratio. Conclusions Our findings highlight the variability in nicotine exposure across days among non-daily smokers and point to the role of smoking context in nicotine exposure. The findings suggest the need to develop better assessment methods to determine health and dependence risk and personalized cessation interventions for this heterogeneous and growing group of smokers.

People living with HIV/AIDS (PLWHA) in the United States (US) have disproportionately high rates of food insecurity (FI). In the general population, FI has been associated with cognitive impairment among older adults and may exacerbate HIV-associated neurocognitive disorders. The current study assessed the effects of FI and HIV infection on the neuropsychological performance of 61 HIV-positive and 36 HIV-negative adults in the US. While the main effects were minimal, the interactive effects revealed that FI was related to deficits in speed of information processing, learning, memory, motor function, and overall cognitive impairment for the HIV-positive group, but not the HIV-negative group. The interactive effects remained after controlling for relevant sociodemographic characteristics. Although bidirectional associations cannot be ruled out in a cross-sectional study, the results suggest that FI may contribute to cognitive impairment among HIV-positive adults in the US. Given the high rates of socioeconomic disadvantage among PLWHA in the US, addressing FI as part of routine clinical care may be warranted.

In order to curb increasing youth electronic cigarette (e-cig) use, the United States Food and Drug Administration (FDA) banned the sale of flavored cartridge/pod-based products in February 2020. This mixed-methods study aimed to evaluate the impact of the FDA ban on adult JUUL users. The samples of current adult JUUL users were surveyed via Amazon Mechanical Turk at three time-points n = 76 (Sample 1); n = 128 (Sample 2); n = 86 (Sample 3) before and after the FDA flavored/pod ban. The participants were asked to report the JUUL flavored pod used most often and answer questions on purchasing generic pods or refilling (Quantitative). JUUL users were then interviewed in order to explore their perceptions and behaviors related to the FDA ban of flavored cartridge/pod-based products (Qualitative; n = 16). Quantitative data analysis evaluated the differences in variables by time-point. Qualitative data were coded into themes while using the constant comparative method. We found a significant decrease in the use of mint pods (43.4%, 22.7%, 16.3%) (p < 0.01), while there was a significant increase in the use of menthol pods (6.6%, 26.6%, 37.2%) (p < 0.01). Themes that emerged from the qualitative data included switching from mint to menthol pods, refilling pods, and switching to other products that are available in the desired flavors, such as generic pods or disposable e-cigs. Future research is needed in order to evaluate the impact of these behaviors on public health.

People with human immunodeficiency virus (HIV) often have neurocognitive impairment. People with HIV make riskier decisions when the outcome probabilities are known, and have abnormal neural architecture underlying risky decision making. However, ambiguous decision making, when the outcome probabilities are unknown, is more common in daily life, but the neural architecture underlying ambiguous decision making in people with HIV is unknown. Eighteen people with HIV and 20 controls completed a decision making task while undergoing functional magnetic resonance imaging scanning. Participants chose between a certain reward and uncertain reward with a known (risky) or unknown (ambiguous) probability of winning. There were three levels of risk: high, medium, and low. Ambiguous > risky brain activity was compared between groups. Ambiguous > risky brain activity was correlated with emotional/psychiatric functioning in people with HIV. Both groups were similarly ambiguity-averse. People with HIV were more risk-averse than controls and chose the high-risk uncertain option less often. People with HIV had hypoactivity in the precuneus, posterior cingulate cortex (PCC), and fusiform gyrus during ambiguous > medium risk decision making. Ambiguous > medium risk brain activity was negatively correlated with emotional/psychiatric functioning in individuals with HIV. To make ambiguous decisions, people with HIV underrecruit key regions of the default mode network, which are thought to integrate internally and externally derived information to come to a decision. These regions and related cognitive processes may be candidates for interventions to improve decision-making outcomes in people with HIV.

Background: Electronic delivery systems (e.g., vapes, e-cigarettes) are now popular modes of cannabis and nicotine administration that are often used by the same individuals; however, we still know little about dual nicotine and cannabis vaping. Materials & Methods: An online convenience sample of adult nicotine and/or cannabis vape users residing in the United States completed a 60 min survey on sociodemographic characteristics, cannabis and/or nicotine vape use behaviors and dependence, reasons for vape use, and perceptions of benefits and harms. After data cleaning, we compared dual vs. nicotine-only and cannabis-only vape users with univariate statistics and step-wise hierarchical linear regression analyses. Additionally, we assessed the factor structure, internal consistency, and criterion and convergent validity of the Penn State Cannabis Vaping Dependence Index (PSCVDI). Results: The final sample included 357 dual, 40 cannabis, and 106 nicotine vape users. Compared to nicotine- and cannabis-only vapers, dual vapers started using their nicotine and cannabis vapes at a younger age (p < 0.001), used them for more years (p < 0.001), and were less likely to use their nicotine vape to replace combustible cigarettes (p = 0.047). Dual users vs. single-substance users did not have significantly higher nicotine or cannabis vape dependence scores after controlling for sociodemographic and use behaviors. The PSCVDI showed adequate validity for measuring cannabis vape dependence. Conclusions: This survey is the first to highlight important differences in vape use behaviors and reasons for use between dual vs. cannabis- and nicotine-only vape users.