Deleterious Association of Inhalant Use on Sleep Quality during the COVID-19 Pandemic

The COVID-19 pandemic generated large amounts of stress across the globe. While acute stress negatively impacts health, defining exact consequences and behavioral interventions can be difficult. We hypothesized that a generalized increase in stress and anxiety caused by continuation of the global pandemic would negatively impact sleep quality and that ever users of e-cigarettes and conventional tobacco would have more profound alterations over time. Participants were recruited via social media to complete an online survey in April 2020 (n = 554). Inhalant use was assessed through the UCSD Inhalant Questionnaire and sleep quality was gauged through the Pittsburgh Sleep Quality Index (PSQI). A set of participants (n = 217) retook the survey in June 2020. Inhalant users—historical or current e-cigarette vapers, conventional tobacco smokers, and dual users—had higher PSQI scores than never smoker/never vapers, demonstrating worse sleep quality in inhalant users. Non-smoking/non-vaping subjects who retook the survey in June 2020 had improvement in their PSQI scores by paired t test, indicating better sleep quality as the pandemic continued, while inhalant users of all types had persistently high PSQI scores (poor sleep quality). These data suggest that ever users of tobacco products may be susceptible to overall diminished sleep quality in the setting of stressful life circumstances. These data also suggest that pandemic-initiated lifestyle changes may have led to improvements in sleep quality. Finally, these findings raise concerns for correlations between either past or active e-cigarette use on sleep, and thus overall health

Electronic cigarette use and perceptions during COVID-19.

This study was designed to examine how the COVID-19 pandemic changed e-cigarette user habits and risk perceptions. A nationally distributed 52-item questionnaire assessed nicotine e-cigarette use, perceptions, COVID-19 diagnosis, demographic data, and vaping habits among respondents aged 16-96 years (n = 565). Questions were developed in-house to assess vaping habits of users and risk perceptions of nicotine containing e-cigarette users and non-users both before and during the COVID-19 pandemic. Seventy-six percent of non-users believed that e-cigarette use would lead to worse COVID-19 symptoms, compared to 40% of e-cigarette users (P < 0.001). Twenty-eight percent of non-users also believed that e-cigarette users were more likely to be infected with SARS-CoV-2, versus 11% of e-cigarette users (P < 0.001). Fifty-eight percent of e-cigarette users described themselves as making no change in their e-cigarette usage, 10% decreased e-cigarette use, and 32% increased e-cigarette use during the pandemic. Twenty-five percent of users switched to vaping non-socially during the pandemic (P < 0.001). Sixty-seven percent of e-cigarette users replied that they would decrease or stop vaping if diagnosed with COVID and 31% said they would continue (P < 0.001). These findings reveal there are large differences in risk perception of e-cigarette use between users and non-users. Additionally, our findings characterize the habits of e-cigarette users during the COVID-19 pandemic, revealing users report steady to increased use, more caution in social settings, and would reduce usage if diagnosed with COVID-19

Assessing the potential impact of age and inhalant use on sleep in adolescents.

Study objectivesTargeted marketing has caused a recent surge in teen electronic cigarette usage. In all-age surveys, we isolated adolescent data (13-20 years) to assess age alongside electronic cigarettes, traditional tobacco, and dual usage of both with sleep quality and cough. Based on existing adult literature, we hypothesized an association between dual usage and increased sleep latency.MethodsParticipants were recruited to complete surveys via social media sites. We performed 3 surveys: Survey 1 (n = 347) in 2018, Survey 2 (n = 1198) in 2019, Survey 3 (n = 554) in 2020. Surveys 1 and 2 had 3 sections: UCSD Inhalant Use Survey, Pittsburgh Sleep Quality Index, and Leicester Cough Questionnaire. Survey 3 did not include the Leicester Cough Questionnaire, instead the Hospital Anxiety and Depression Scale and Patient Health Questionnaire were used. The adolescent data were isolated (n = 609).ResultsAdolescents reported longer sleep duration with increasing age by one-way analysis of variance. By Tukey's multiple comparisons test, females slept more at ages 19 and 20 years than at age 14 years (P < .01). Female dual users slept more than nonsmokers, (P = .01; mean difference 43.8 minutes; confidence interval = 0.11 to 1.36). We observed an association between dual use and sleep latency vs nonsmokers (P = .0008; mean difference 6.27 minutes; confidence interval = 1.40 to 11.13). We saw no correlation between inhalant use and cough.ConclusionsIn females, we observed a peak in sleep hours at age 19 years. College-aged females may wake later than younger adolescent females. The data also raised concern for sleep disruption and nicotine-induced wakefulness. Further data are required to guide public health strategies.CitationMalhotra CK, Gunge D, Advani I, Boddu S, Nilaad S, Crotty Alexander LE. Assessing the potential impact of age and inhalant use on sleep in adolescents. J Clin Sleep Med. 2021;17(11):2233-2239

Is Increased Sleep Responsible for Reductions in Myocardial Infarction During the COVID-19 Pandemic?

The COVID-19 pandemic caused by the highly contagious SARS-CoV-2 virus has had devastating consequences across the globe. However, multiple clinics and hospitals have experienced a decrease in rates of acute myocardial infarction and corresponding cardiac catheterization lab activations, raising the question: Has the risk of myocardial infarction decreased during COVID? Sleep deprivation is known to be an independent risk factor for myocardial infarction, and sleep has been importantly impacted during the pandemic, possibly due to the changes in work-home life leading to a lack of structure. We conducted a social media-based survey to assess potential mechanisms underlying the observed improvement in risk of myocardial infarction. We used validated questionnaires to assess sleep patterns, tobacco consumption and other important health outcomes to test the hypothesis that increases in sleep duration may be occurring which have a beneficial impact on health. We found that the COVID-19 pandemic led to shifts in day/night rhythm, with subjects waking up 105 minutes later during the pandemic (p <0.0001). Subjects also reported going to sleep 41 minutes later during the pandemic (p <0.0001). These shifts led to longer duration of sleep during the COVID-19 pandemic. Before the pandemic, subjects reported sleeping 6.8 hours per night, which rose to 7.5 hours during the pandemic, a 44 minute or 11% increase (p <0.0001). We acknowledge the major negative health impact of the global pandemic but would advocate for using this crisis to improve the work and sleep habits of the general population, which may lead to overall health benefits for our society

Deleterious Association of Inhalant Use on Sleep Quality during the COVID-19 Pandemic.

The COVID-19 pandemic generated large amounts of stress across the globe. While acute stress negatively impacts health, defining exact consequences and behavioral interventions can be difficult. We hypothesized that a generalized increase in stress and anxiety caused by continuation of the global pandemic would negatively impact sleep quality and that ever users of e-cigarettes and conventional tobacco would have more profound alterations over time. Participants were recruited via social media to complete an online survey in April 2020 (n = 554). Inhalant use was assessed through the UCSD Inhalant Questionnaire and sleep quality was gauged through the Pittsburgh Sleep Quality Index (PSQI). A set of participants (n = 217) retook the survey in June 2020. Inhalant users-historical or current e-cigarette vapers, conventional tobacco smokers, and dual users-had higher PSQI scores than never smoker/never vapers, demonstrating worse sleep quality in inhalant users. Non-smoking/non-vaping subjects who retook the survey in June 2020 had improvement in their PSQI scores by paired t test, indicating better sleep quality as the pandemic continued, while inhalant users of all types had persistently high PSQI scores (poor sleep quality). These data suggest that ever users of tobacco products may be susceptible to overall diminished sleep quality in the setting of stressful life circumstances. These data also suggest that pandemic-initiated lifestyle changes may have led to improvements in sleep quality. Finally, these findings raise concerns for correlations between either past or active e-cigarette use on sleep, and thus overall health

Dual use of e-cigarettes with conventional tobacco is associated with increased sleep latency in cross-sectional Study.

The health effects of e-cigarettes remain relatively unknown, including their impact on sleep quality. We previously showed in a pilot study that females who smoke both conventional tobacco and vape e-cigarettes (dual users) had decreased sleep quality (measurement of how well an individual is sleeping) and increased sleep latency (amount of time to fall asleep), suggesting an influence by gender. Cough is also known to adversely impact sleep quality and may be caused by inhalant use. As a result, we undertook this study to assess the impact of e-cigarette, conventional tobacco, and dual use on sleep quality, sleep latency, cough, and drug use. Participants (n = 1198) were recruited through online surveys posted to social media sites with a monetary incentive. Participants were grouped by inhalant use, with 8% e-cigarette users, 12% conventional tobacco users, 30% dual users, and 51% non-smokers/non-vapers. Dual use of e-cigarettes and conventional tobacco was associated with increased sleep latency relative to non-smokers/non-vapers by multivariable linear regression (mean difference of 4.08; 95% CI: 1.12 to 7.05, raw p = 0.007, adjusted p = 0.042); however, dual usage was not significantly associated with sleep quality relative to non-smokers/non-vapers (mean difference 0.22, 95%CI: (-0.36, 0.80), raw p = 0.452, adjust p = 0.542). Dual use was also associated with a higher reporting of cough (p = 0.038), as well as increased marijuana (p < 0.001) and cocaine (p < 0.001) usage. This study demonstrates that  dual use is associated with longer sleep latency, and suggests that the shared component of nicotine may be a driver. Because sleep broadly impacts multiple aspects of human health, defining the associations of e-cigarettes and vaping devices on sleep is critical to furthering our understanding of their influence on the body

Vaping-induced metabolomic signatures in the circulation of mice are driven by device type, e-liquid, exposure duration and sex.

Each type of vaping device (vape pen, box Mod and JUUL), as well as nicotine and flavourings, induces a disparate metabolite profile or signature, such that each device and liquid is likely to lead to its own set of health effects https://bit.ly/3eExKzi

Effects of mango and mint pod-based e-cigarette aerosol inhalation on inflammatory states of the brain, lung, heart, and colon in mice

While health effects of conventional tobacco are well defined, data on vaping devices, including one of the most popular e-cigarettes which have high nicotine levels, are less established. Prior acute e-cigarette studies have demonstrated inflammatory and cardiopulmonary physiology changes while chronic studies have demonstrated extra-pulmonary effects, including neurotransmitter alterations in reward pathways. In this study we investigated the impact of inhalation of aerosols produced from pod-based, flavored e-cigarettes (JUUL) aerosols three times daily for 3 months on inflammatory markers in the brain, lung, heart, and colon. JUUL aerosol exposure induced upregulation of cytokine and chemokine gene expression and increased HMGB1 and RAGE in the nucleus accumbens in the central nervous system. Inflammatory gene expression increased in the colon, while gene expression was more broadly altered by e-cigarette aerosol inhalation in the lung. Cardiopulmonary inflammatory responses to acute lung injury with lipopolysaccharide were exacerbated in the heart. Flavor-specific findings were detected across these studies. Our findings suggest that daily e-cigarette use may cause neuroinflammation, which may contribute to behavioral changes and mood disorders. In addition, e-cigarette use may cause gut inflammation, which has been tied to poor systemic health, and cardiac inflammation, which leads to cardiovascular disease

Effects of mango and mint pod-based e-cigarette aerosol inhalation on inflammatory states of the brain, lung, heart, and colon in mice

While health effects of conventional tobacco are well defined, data on vaping devices, including one of the most popular e-cigarettes which have high nicotine levels, are less established. Prior acute e-cigarette studies have demonstrated inflammatory and cardiopulmonary physiology changes while chronic studies have demonstrated extra-pulmonary effects, including neurotransmitter alterations in reward pathways. In this study we investigated the impact of inhalation of aerosols produced from pod-based, flavored e-cigarettes (JUUL) aerosols three times daily for 3 months on inflammatory markers in the brain, lung, heart, and colon. JUUL aerosol exposure induced upregulation of cytokine and chemokine gene expression and increased HMGB1 and RAGE in the nucleus accumbens in the central nervous system. Inflammatory gene expression increased in the colon, while gene expression was more broadly altered by e-cigarette aerosol inhalation in the lung. Cardiopulmonary inflammatory responses to acute lung injury with lipopolysaccharide were exacerbated in the heart. Flavor-specific findings were detected across these studies. Our findings suggest that daily e-cigarette use may cause neuroinflammation, which may contribute to behavioral changes and mood disorders. In addition, e-cigarette use may cause gut inflammation, which has been tied to poor systemic health, and cardiac inflammation, which leads to cardiovascular disease