Social distancing stress, anxiety/depression, COVID-19 diagnosis, gender identity, and immigration status.

BACKGROUND: Strict social distancing public health measures to decrease COVID-19 spread increased social distancing stress. However, differences in social distancing stress by anxiety/depression symptoms are understudied, especially based on COVID-19 diagnosis status, gender identity, and immigration status. We examined whether the association between social distancing stress and anxiety/depression symptoms was moderated by COVID-19 diagnosis status, gender identity, and immigration status. We further examined the associations of social distancing stress with anxiety/depression symptoms, gender identity, and immigration status among individuals with and without COVID-19. METHODS: We utilized data from a national cross-sectional survey among adults aged ≥ 18 years in the United States between May 13, 2021, and January 9, 2022 (n = 5,255). Multivariable logistic regression models were used to examine the associations. RESULTS: The prevalence of social distancing stress was higher among individuals with COVID-19 (79.23%) than among those without COVID-19 (67.51%). We observed significant associations between social distancing stress and anxiety/depression symptoms, moderated by COVID-19 diagnosis status, immigration status, and gender identity, respectively. Anxiety/depression symptoms were associated with social distancing stress among both individuals with and without COVID-19. Gender identity and immigration status were associated with social distancing stress among only individuals without COVID-19. CONCLUSIONS: Our findings revealed that the association between social distancing stress and anxiety/depression varied by COVID-19 diagnosis status, gender identity, and immigration status. The findings underscore the need for more targeted psychological distress strategies to reduce social distancing stress and anxiety/depression among diverse US populations, while considering the impacts of COVID-19 diagnosis status, gender identity, and immigration status.

Examining Disparities in Current E-Cigarette Use among U.S. Adults before and after the WHO Declaration of the COVID-19 Pandemic in March 2020.

This paper aims to estimate the prevalence of e-cigarette use before and after the COVID-19 pandemic declaration and to delineate disparities in use across subpopulations. Data were derived from the 2020 Health Information National Trends Survey (N = 3865) to conduct weighted multivariable logistic regression and marginal analyses. The overall prevalence of current e-cigarette use increased from 4.79% to 8.63% after the COVID-19 pandemic declaration. Furthermore, non-Hispanic Black people and Hispanic people had lower odds of current e-cigarette use than non-Hispanic White people, but no significant differences were observed between groups before the pandemic. Compared to heterosexual participants, sexual minority (SM) participants had higher odds of current e-cigarette use after the declaration, with insignificant differences before. People who had cardiovascular disease conditions, relative to those without, had higher odds of current e-cigarette use after the declaration, but no group differences were found before the declaration. The marginal analyses showed that before and after the pandemic declaration, SM individuals had a significantly higher probability of using e-cigarettes compared to heterosexual individuals. These findings suggest the importance of adopting a subpopulation approach to understand and develop initiatives to address substance use, such as e-cigarettes, during pandemics and other public health emergencies.

The prevalence of metabolic conditions before and during the COVID-19 pandemic and its association with health and sociodemographic factors.

BACKGROUND: There is a dearth of evidence on the relationship between COVID-19 and metabolic conditions among the general U.S. population. We examined the prevalence and association of metabolic conditions with health and sociodemographic factors before and during the COVID-19 pandemic. METHODS: Data were drawn from the 2019 (N = 5,359) and 2020 (N = 3,830) Health Information National Trends Surveys on adults to compare observations before (2019) and during (2020) the COVID-19 pandemic. We conducted weighted descriptive and multivariable logistic regression analyses to assess the study objective. RESULTS: During the pandemic, compared to pre-pandemic, the prevalence of diabetes (18.10% vs. 17.28%) has increased, while the prevalence of hypertension (36.38% vs. 36.36%) and obesity (34.68% vs. 34.18%) has remained similar. In general, the prevalence of metabolic conditions was higher during the pandemic (56.09%) compared to pre-pandemic (54.96%). Compared to never smokers, former smokers had higher odds of metabolic conditions (AOR = 1.38, 95% CI = 1.01, 1.87 and AOR = 1.57, 95% CI = 1.10, 2.25) before and during the pandemic, respectively. People with mild anxiety/depression symptoms (before: AOR = 1.52, 95% CI = 1.06, 2.19 and during: AOR = 1.55, 95% CI = 1.01, 2.38) had higher odds of metabolic conditions relative to those with no anxiety/depression symptoms. CONCLUSION: This study found increased odds of metabolic conditions among certain subgroups of US adults during the pandemic. We recommend further studies and proper allocation of public health resources to address these conditions.

Evidence for the coupling of refill liquids content and new particle formation in electronic cigarette vapors.

The size and chemical content of particles in electronic cigarette vapors (e-vapors) dictate their fate in the human body. Understanding how particles in e-vapors are formed and their size is critical to identifying and mitigating the adverse consequences of vaping. Thermal decomposition and reactions of the refill liquid (e-liquid) components play a key role in new particles formation. Here we report the evolution of particle number concentration in e-vapors over time for variable mixtures of refill e-liquids and operating conditions. Particle with aerodynamic diameter < 300 nm accounted for up to 17% (or 780 µg/m3) of e-vapors particles. Two events of increasing particle number concentration were observed, 2-3 s after puff completion and a second 4-5 s later. The intensity of each event varied by the abundance of propylene glycol, glycerol, and flavorings in e-liquids. Propylene glycol and glycerol were associated with the first event. Flavorings containing aromatic and aliphatic unsaturated functional groups were strongly associated with the second event and to a lesser extent with the first one. The results indicate that particles in e-vapors may be formed through the heteromolecular condensation of propylene glycol, glycerol, and flavorings, including both parent chemicals and/or their thermal decomposition products.

Aerosol Transmission of Infectious Disease and the Efficacy of Personal Protective Equipment (PPE): A Systematic Review.

OBJECTIVE: Health care professionals and governmental agencies are in consensus regarding contact and droplet transmission of infectious diseases. However, personal protective equipment (PPE) efficacy is not considered for aerosol or airborne transmission of infectious diseases. This review discusses the inhalation of virus-laden aerosols as a viable mechanism of transmission of various respiratory infectious diseases and PPE efficacy. METHODS: The Preferred Reporting Items for Systematic reviews, and Meta-Analysis (PRISMA) guidelines was used. RESULTS: The transmission of infectious disease is of concern for all respirable diseases discussed (SARS-CoV-1, SARS-CoV-2, MERS, influenza, and tuberculosis), and the effectiveness of facemasks is dependent on the efficiency of the filter, fit, and proper use. CONCLUSION: PPE should be the last resort in preventing the spread of infectious disease and should only be used for protection and not to control the transmission.

The effects of Moringa oleifera on blood glucose levels: A scoping review of the literature.

Diabetes is an increasingly problematic health concern in the United States. Moringa oleifera (M. oleifera) has been suggested as medication in the prevention or treatment of diabetes, but there is no convincing evidence of a causal relation between moringa and decreased blood sugar levels in humans. The purpose of this scoping review is to examine the effects of Moringa oleifera on blood glucose levels in rats and humans. A search of Scopus, Ovid Medline, Ovid Embase, IPA, and Web of Science and manual searching of bibliographies were performed for peer-reviewed English articles published between May 1, 2008 and May 1, 2018. This review included thirty studies. Out of seven human studies, five found that M. oleifera significantly reduced blood glucose levels in diabetic patients. Out of twenty-three animal studies, twenty-one found that administration of M. oleifera led to a statistically significant decrease in animal blood glucose levels. In human studies, moringa was mostly administered in a powdered leaf form, while in animal studies it was frequently administered to as an aqueous or ethanol-based extract. The review found statistical evidence that moringa decreased blood glucose; the evidence is not strong enough to recommend it as the default treatment for people with diabetes.

Assessing electronic cigarette emissions: linking physico-chemical properties to product brand, e-liquid flavoring additives, operational voltage and user puffing patterns.

Users of electronic cigarettes (e-cigs) are exposed to particles and other gaseous pollutants. However, major knowledge gaps on the physico-chemical properties of such exposures and contradictory data in published literature prohibit health risk assessment. Here, the effects of product brand, type, e-liquid flavoring additives, operational voltage, and user puffing patterns on emissions were systematically assessed using a recently developed, versatile, e-cig exposure generation platform and state-of-the-art analytical methods. Parameters of interest in this systematic evaluation included two brands (A and B), three flavors (tobacco, menthol, and fruit), three types of e-cigs (disposable, pre-filled, and refillable tanks), two puffing protocols (4 and 2 s/puff), and four operational voltages (2.2-5.7 V). Particles were generated at a high number concentration (106-107 particles/cm3). The particle size distribution was bi-modal (∼200 nm and 1 µm). Furthermore, organic species (humectants propylene glycol and glycerin, nicotine) that were present in e-liquid and trace metals (potassium and sodium) that were present on e-cig heating coil were also released into the emission. In addition, combustion-related byproducts, such as benzene and toluene, were also detected in the range of 100-38,000 ppbv/puff. Parametric analyzes performed in this study show the importance of e-cig brand, type, flavor additives, user puffing pattern (duration and frequency), and voltage on physico-chemical properties of emissions. This observed influence is indicative of the complexity associated with the toxicological screening of emissions from e-cigs and needs to be taken into consideration.