Sleep characteristics among black cisgender sexual minority men and black transgender women during the COVID-19 pandemic: The role of multi-level COVID-19-related stressors.

OBJECTIVES: To determine the association between individual, network, and structural COVID-19-related stressors and changes in sleep duration and quality among Black cisgender sexual minority men (SMM) and Black transgender women during the COVID-19 peak infectivity rate in Chicago. METHODS: From April 20, 2020 to July 31, 2020, we conducted the N2 COVID Study in Chicago (n = 226). The survey included questions regarding multi-level COVID-19-related stressors (eg, food unavailability, partner violence, housing instability, concern about neighborhood COVID-19), sleep duration, and sleep quality. RESULTS: About 19.5% of our sample reported a shorter duration of sleep during the initial peak COVID-19 infectivity, while 41.2% reported more sleep and 38.9% reported about the same. Compared to the prepandemic period, 16.8% reported that their sleep quality worsened in the COVID-19 pandemic, while 27.9% reported their sleep quality had improved and 55.3% reported it was about the same. In multivariable models, we found that ≥1 day of physical stress reaction, worrying about being infected with COVID-19, traveling during COVID-19 being a financial burden, not having enough medication, knowing someone who was diagnosed with COVID-19, partner violence and housing instability were associated with poor sleep health in the COVID-19 pandemic (adjusted risk ratio: 1.82-3.90, p < .05). CONCLUSIONS: These data suggest that COVID-19-related stressors impacted poor sleep duration and quality during the pandemic among this cohort. Multi-level interventions to reduce COVID-19-related stressors (eg, meditation, intimate partner violence prevention and housing programs) may be useful for improving sleep health among Black cisgender sexual minority men and Black transgender women.

COVID-19 stressors and symptoms of depression and anxiety among Black cisgender sexual minority men and Black transgender women during the initial peak of the COVID-19 pandemic.

PURPOSE: To examine associations between COVID-19-related stressors and symptoms of depression and anxiety in Black cisgender sexual minority men (SMM) and transgender women during the initial peak of the COVID-19 pandemic. METHODS: Participants from the N2 Cohort Study comprised Black cisgender SMM and Black transgender women in Chicago, IL, completed a face-to-face video or phone interview between April 20 and July 31, 2020. The survey included 18 measures of individual, network, and structural COVID-19 stressors such as income loss, network COVID-19 diagnoses, and housing loss, as well as 5 outcome measures: anxiety, depression, loneliness, worry and hope. RESULTS: Of 226 participants, 56.6% experienced anxiety on at least 1 of the last 14 days, 48.7% experienced depression, 48.7% experienced loneliness, 42.0% experienced worry, and 51.8% did not experience hope. Completing the study during a later phase of reopening was associated with hopefulness, RR = 1.37 95% CI [1.02, 1.85]. Fifteen of the 18 multi-level COVID-19 stressors were associated with 1 or more symptoms of depression and anxiety, for example, physical stress reactions, income loss, food loss, medication loss, network COVID-19 diagnoses, partner violence, housing loss, and neighborhood pandemic concerns (aRRs = 0.61-2.78, ps < 0.05). CONCLUSION: COVID-19-related stressors were associated with depression and anxiety symptoms in Black cisgender SMM and transgender women. Mitigation strategies to reduce virus transmission should be supplemented with measures to prevent depression and anxiety among marginalized populations, such as targeted economic relief and eHealth/mHealth interventions.

COVID-19 pandemic and mental health problems of adults in United States: mediating roles of cognitive concerns and behavioral changes.

OBJECTIVES: We examined the associations of statewide COVID-19 conditions (i.e., state-level case and death rates) with individual-level Generalized Anxiety Disorder (GAD) and Major Depression Disorder (MDD) focusing on the salient mediating roles of individual-level cognitive concerns and behavioral changes. METHODS: Using a national representative sample of adults in the United States (n = 585,073), we fitted logistic regressions to examine the overall associations between the COVID-19 pandemic and GAD/MDD. We employed a causal mediation analysis with two mediators: cognitive concerns (i.e., concerns on going to the public, loss of income, food insufficiency, housing payment, and the economy) and behavioral changes (i.e., taking fewer trips, avoiding eating-out, more online-purchase, more curbside pick-up, and cancelling doctor's appointments). RESULTS: We found relationships of statewide COVID-19 cases with GAD (odds ratio [OR] = 1.06; 95% confidence interval [CI] = 1.05, 1.07) and MDD (OR = 1.08; 95% CI = 1.07, 1.09). The ORs were mediated by cognitive concerns for GAD (OR = 1.02, proportion mediated: 29%) and MDD (OR = 1.01, 17%). Another salient mediator was behavioral changes for GAD (OR = 1.02, 31%) and MDD (OR = 1.01, 15%). Similar associations were found with statewide COVID-19 death. CONCLUSIONS: Our mediation analyses suggest that cognitive concerns and behavioral changes are important mediators of the relationships between statewide COVID-19 case/death rates and GAD/MDD. COVID-19 pandemic may involve individual-level concerns and behavior changes, and such experiences are likely to affect mental health outcomes. Public health approaches to alleviate adverse mental health consequences should take into account the mediating factors.

Recombinant Mycobacterium paragordonae Expressing SARS-CoV-2 Receptor-Binding Domain as a Vaccine Candidate Against SARS-CoV-2 Infections.

At present, concerns that the recent global emergence of SARS-CoV-2 variants could compromise the current vaccines have been raised, highlighting the urgent demand for new vaccines capable of eliciting T cell-mediated immune responses, as well as B cell-mediated neutralizing antibody production. In this study, we developed a novel recombinant Mycobacterium paragordonae expressing the SARS-CoV-2 receptor-binding domain (RBD) (rMpg-RBD-7) that is capable of eliciting RBD-specific immune responses in vaccinated mice. The potential use of rMpg-RBD-7 as a vaccine for SARS-CoV-2 infections was evaluated in in vivo using mouse models of two different modules, one for single-dose vaccination and the other for two-dose vaccination. In a single-dose vaccination model, we found that rMpg-RBD-7 versus a heat-killed strain could exert an enhanced cell-mediated immune (CMI) response, as well as a humoral immune response capable of neutralizing the RBD and ACE2 interaction. In a two-dose vaccination model, rMpg-RBD-7 in a two-dose vaccination could also exert a stronger CMI and humoral immune response to neutralize SARS-CoV-2 infections in pseudoviral or live virus infection systems, compared to single dose vaccinations of rMpg-RBD or two-dose RBD protein immunization. In conclusion, our data showed that rMpg-RBD-7 can lead to an enhanced CMI response and humoral immune responses in mice vaccinated with both single- or two-dose vaccination, highlighting its feasibility as a novel vaccine candidate for SARS-CoV-2. To the best of our knowledge, this study is the first in which mycobacteria is used as a delivery system for a SARS-CoV-2 vaccine.

COVID-19 testing, case, and death rates and spatial socio-demographics in New York City: An ecological analysis as of June 2020.

We assessed the geographic variation in socio-demographics, mobility, and built environmental factors in relation to COVID-19 testing, case, and death rates in New York City (NYC). COVID-19 rates (as of June 10, 2020), relevant socio-demographic information, and built environment characteristics were aggregated by ZIP Code Tabulation Area (ZCTA). Spatially adjusted multivariable regression models were fitted to account for spatial autocorrelation. The results show that different sets of neighborhood characteristics were independently associated with COVID-19 testing, case, and death rates. For example, the proportions of Blacks and Hispanics in a ZCTA were positively associated with COVID-19 case rate. Contrary to the conventional hypothesis, neighborhoods with low-density housing experienced higher COVID-19 case rates. In addition, demographic changes (e.g. out-migration) during the pandemic may bias the estimates of COVID-19 rates. Future research should further investigate these neighborhood-level factors and their interactions over time to better understand the mechanisms by which they affect COVID-19.

Associations of Small Business Closure and Reduced Urban Mobility with Mental Health Problems in COVID-19 Pandemic: a National Representative Sample Study.

It is suggested that the nationwide social distancing due to coronavirus disease 2019 (COVID-19) has adverse mental health consequences despite its necessity. We investigated the associations of social distancing measures with mental health problems. Using national representative sample of 509,062 adults in the USA, we examined the associations of small business closure and reduced urban mobility with generalized anxiety disorder (GAD) and major depression disorder (MDD). Multilevel regression models were fitted with individual, household, and state-level covariates, in addition to state and census-region-level random effects. Living in state with the highest quartile of small business closures was associated with increased prevalence of GAD (OR: 1.06; CI: 1.03-1.11) compared to lowest quartile, but had no association with MDD. Living in the highest quartile of urban mobility was associated with lower prevalence of both GAD (OR: 0.88; CI: 0.85-0.93) and MDD (OR: 0.90; CI: 0.86-0.95) relative to the lowest quartile. Our findings suggest that small business closures and reduced mobility during COVID-19 pandemic were negatively associated with the two mental health outcomes in the USA, despite their important roles in preventing the infection.