Self-identified Race and Ethnicity and How this is Perceived: Associations with the Physical and Mental Health of Incarcerated Individuals.

OBJECTIVES: The singular focus on self-identified race and ethnicity in health disparities research may not fully convey the individual and structural components of experiencing race in society, or in a racialized context such as prison. Processes of racialization create boundaries between incarcerated individuals and regulate their daily interactions and access to resources, with possible effects on well-being. However, the relationship between perceived race and health has not been examined within the imprisoned population. DESIGN: We used data from the 2016 Survey of Prison Inmates (n = 23,010) to assess how self-identified race, perceived race, and the discordance between racial self-identification and perception were associated with the physical (number of chronic conditions) and mental health (psychological distress) of American Indian and Alaska Native, Asian, Black, Latino, White, and multiracial incarcerated individuals. RESULTS: Reported perception as Latino was associated with better mental and physical health relative to perception as White. Perceived Latino identity was more strongly associated with physical and mental health than a Latino self-identity. Reported perception as Black was associated with less psychological distress than perception as White, but this relationship dissipated after accounting for self-identified race. In contrast, perceived and self-identified multiracial incarcerated individuals reported worse health than their White counterparts. Having a discordant (vs. concordant) racial identity was associated with worse physical and mental health among imprisoned persons regardless of race. CONCLUSION: The use of a single, unidimensional measure of race and ethnicity in health disparities research does not fully reveal racialization's influence on health, specifically for those experiencing incarceration.

Projecting the Likely Impact of COVID-19 Infections on the Prevalence of Dementia in the United States.

Background: The association between COVID-19 infection and the onset of dementia among adults 65 years and older has the potential to increase the burden of dementia worldwide significantly. Our research, which focuses on understanding the likely increase in the burden of dementia due to COVID-19 infection in the USA, has crucial public policy implications. By providing these insights, we aim to empower policymakers, healthcare professionals, researchers, and public health officials to make informed decisions and plan for the future. Objective: Project the prevalence of dementia in the United States while accounting for the impact of COVID-19 infection on the onset of dementia. Methods: A dynamic multi-state population model was developed. The model was initialized with USA demographic data and estimates of age, gender, and race-specific transition rates from the Health and Retirement Study (HRS). Results: The projected increase in the burden of dementia among Americans 65 years and older is a staggering 14.838 million by 2050. However, due to the COVID-19 pandemic, we anticipate an additional 265,000 to 677,000 older adults 65 years and older will be affected by dementia. This will escalate the burden of dementia to a potential 15.103 million to 15.515 million by 2050, a significant human toll that we must be prepared for. Conclusions: The projected dementia numbers underscore the urgent need for policy and intervention in social care services and healthcare needs planning. This includes providing robust support systems for caregivers and ensuring the healthcare staff is adequately trained to meet the healthcare needs of dementia patients and their families.

Referral Sources Across Racial and Ethnic Groups at Alzheimer's Disease Research Centers.

Background: Despite the need to increase engagement of underrepresented groups (URG) in Alzheimer's disease and related dementias (ADRD) studies, enrollment remains low. Objective: Compare referral sources across racial and ethnic groups among participants enrolled in ADRC studies. Methods: Data for this cross-sectional secondary analysis were extracted from the National Alzheimer's Coordinating Center Uniform Data Set. We performed mixed effects logistic regression models using generalized estimating equations for professional referral versus non-professional referral by racial and ethnic group, adjusted for age, gender, education, visit year, and Clinical Dementia Rating scale (CDR) with a random effect for study site. Results: Included in the analysis were 48,330 participants across 46 ADRCs (mean [SD] age, 71.3 [10.5] years; 20,767 female [57%]; 4,138 Hispanic [8.6%]; 1,392 non-Hispanic Asian [2.9%]; 6,766 non-Hispanic Black [14%] individuals; and 676 individuals [1.4%] of other races. Non-Hispanic Black and Asian participants had lower odds of being referred by a professional contact compared to non-Hispanic White participants (Black: adjusted OR = 0.61, 95% CI = 0.44-0.86, p = 0.005; Asian: adjusted OR = 0.65, 95% CI, p = 0.004). In participants who had completed an MRI, there was no significant difference in referral source across ethnic and racial groups. Conclusions: Further studies are needed to better understand the systemic and structural factors that contribute to differences in referral sources and disparities in recruitment of URG into ADRD studies.

Marginalized measures: The harmonization of diversity in precision medicine research.

The production of large, shareable datasets is increasingly prioritized for a wide range of research purposes. In biomedicine, especially in the United States, calls to enhance representation of historically underrepresented populations in databases that integrate genomic, health history, demographic and lifestyle data have also increased in order to support the goals of precision medicine. Understanding the assumptions and values that shape the design of such datasets and the practices through which they are constructed are a pressing area of social inquiry. We examine how diversity is conceptualized in U.S. precision medicine research initiatives, specifically attending to how measures of diversity, including race, ethnicity, and medically underserved status, are constructed and harmonized to build commensurate datasets. In three case studies, we show how symbolic embrace of both diversity and harmonization efforts can compromise the utility of diversity data. Although big data and diverse population representation are heralded as the keys to unlocking the promises of precision medicine research, these cases reveal core tensions between what kinds of data are seen as central to 'the science' and which are marginalized.

Neighborhood Racial and Ethnic Predominance, Child Opportunity, and Violence-Related Mortality among Children and Adolescents in Chicago.

Our objective was to determine whether Child Opportunity Index (COI), a measure of neighborhood socioeconomic and built environment specific to children, mediated the relationship of census tract Black or Hispanic predominance with increased rates of census tract violence-related mortality. The hypothesis was that COI would partially mediate the relationship. This cross-sectional study combined data from the American Community Survey 5-year estimates, the COI 2.0, and the Illinois Violent Death Reporting System 2015-2019 for the City of Chicago. Individuals ages 0-19 years were included. The primary exposure was census tract Black, Hispanic, White, and other race predominance (> 50% of population). The primary outcome was census tract violence-related mortality. A mediation analysis was performed to evaluate the role of COI as a potential mediator. Multivariable logistic regression modeling census tract violence-related mortality demonstrated a direct effect of census tract Black predominance (adjusted odds ratio [aOR] 2.59, 95% confidence interval [CI] 1.30-5.14) on violence-related mortality compared to White predominance. There was no association of census tract Hispanic predominance with violence-related mortality compared to White predominance (aOR 1.57, 95% CI 0.88-2.84). Approximately 64.9% (95% CI 60.2-80.0%) of the effect of census tract Black predominance and 67.9% (95% CI 61.2-200%) of the effect of census tract Hispanic predominance on violence-related mortality was indirect via COI. COI partially mediated the effect of census tract Black and Hispanic predominance on census tract violence-related mortality. Interventions that target neighborhood social and economic factors should be considered to reduce violence-related mortality among children and adolescents.

Associations of County-Level Social Determinants of Health with COVID-19 Related Hospitalization Among People with HIV: A Retrospective Analysis of the U.S. National COVID Cohort Collaborative (N3C).

Individually, the COVID-19 and HIV pandemics have differentially impacted minoritized groups due to the role of social determinants of health (SDoH) in the U.S. Little is known how the collision of these two pandemics may have exacerbated adverse health outcomes. We evaluated county-level SDoH and associations with hospitalization after a COVID-19 diagnosis among people with (PWH) and without HIV (PWOH) by racial/ethnic groups. We used the U.S. National COVID Cohort Collaborative (January 2020-November 2023), a nationally-sampled electronic health record repository, to identify adults who were diagnosed with COVID-19 with HIV (n = 22,491) and without HIV (n = 2,220,660). We aggregated SDoH measures at the county-level and categorized racial/ethnic groups as Non-Hispanic (NH) White, NH-Black, Hispanic/Latinx, NH-Asian and Pacific Islander (AAPI), and NH-American Indian or Alaskan Native (AIAN). To estimate associations of county-level SDoH with hospitalization after a COVID-19 diagnosis, we used multilevel, multivariable logistic regressions, calculating adjusted relative risks (aRR) with 95% confidence intervals (95% CI). COVID-19 related hospitalization occurred among 11% of PWH and 7% of PWOH, with the highest proportion among NH-Black PWH (15%). In evaluating county-level SDoH among PWH, we found higher average household size was associated with lower risk of COVID-19 related hospitalization across racial/ethnic groups. Higher mean commute time (aRR: 1.76; 95% CI 1.10-2.62) and higher proportion of adults without health insurance (aRR: 1.40; 95% CI 1.04-1.84) was associated with a higher risk of COVID-19 hospitalization among NH-Black PWH, however, NH-Black PWOH did not demonstrate these associations. Differences by race and ethnicity exist in associations of adverse county-level SDoH with COVID-19 outcomes among people with and without HIV in the U.S.

Time Trends and Demographic Disparities in Helicobacter pylori Burden in a Large, Community-Based Population in the United States.

Background and Aims: There are minimal recent population-based data on the epidemiology of Helicobacter pylori (H. pylori) in the United States. Methods: This retrospective cohort study evaluated H. pylori positivity rates in adult members of a large, community-based US population in 2000-2019. Time trends, demographic disparities, and birth cohort effects on H. pylori test positivity rates were analyzed. Results: Among 751,322 individuals tested for H. pylori, the overall nonserological and serological test positivity rates were 18.2% (95% confidence interval [CI], 18.1%-18.4%) and 36.8% (95% CI, 36.6%-36.9%), respectively. Nonserological positivity rate (95% CI) was significantly higher among Asian (23.2% [22.8%-23.6%]), Black (25.1% [24.4%-25.8%]), and Hispanic (28.1% [27.7%-28.5%]) individuals than non-Hispanic White individuals (10.0% [9.8%-10.2%]), and was significantly higher among individuals with a non-English language preference (32.9% [32.3%-33.5%]) than those with English language preference (15.8% [15.6%-15.9%]). Patterns were similar for serological positivity, although with substantially higher rates. Serological positivity rates decreased over 2 decades but nonserological positivity rates initially decreased and then stabilized over the past decade. There was a significant decrease in both nonserological and serological positivity rates from older to younger birth cohorts. Older age, non-White race or Hispanic ethnicity, male sex, and non-English language preference were associated with high odds of H. pylori positivity. Conclusion: The burden of H. pylori decreased over 2 decades, although the rates of active infection plateaued over the past decade in a diverse, community-based US population, likely attributable to birth cohort effects and demographic changes. Asian, Black, and Hispanic individuals had 2-3-fold higher rates of active H. pylori infection than non-Hispanic White individuals. These findings should inform targeted screening and eradication of H. pylori in high-risk US populations.

Disparities in Access, Management and Outcomes of Critically Ill Adult Patients with Trauma.

Despite legal protections guaranteeing care for patients with trauma, disparities exist in patient outcomes. We review disparities in patient management and outcomes related to insurance status, race and ethnicity, and gender for patients with trauma in the preadmission, in-hospital, and postdischarge settings. We highlight groups understudied and either underrepresented or unrepresented in national trauma databases-including American Indians/Alaska Natives, non-English preferred patients, and patients with disabilities. We call for more study of these groups and of upstream factors affecting the reviewed demographics to measure and improve outcomes for these vulnerable populations.

What explains differences in average wait time in the emergency department among different racial and ethnic populations: A linear decomposition approach.

Objective: Non-Hispanic Black (NHB) and Hispanic/Latino (Hispanic) patients wait longer in the emergency department (ED) to see practitioners when compared with non-Hispanic White (NHW) patients. We investigate factors contributing to longer wait times for NHB and Hispanic patients using a linear decomposition approach. Methods: This retrospective observational study included patients presenting to one tertiary hospital ED from 2019 to 2021. Median wait times among NHW, NHB, and Hispanic were calculated with multivariable linear regressions. The extent to which demographic, clinical, and hospital factors explained the differences in average wait time among the three groups were analyzed with Blinder‒Oaxaca post-linear decomposition model. Results: There were 310,253 total patients including 34.7% of NHW, 34.7% of NHB, and 30.6% of Hispanic patients. The median wait time in NHW was 9 min (interquartile range [IQR] 4‒47 min), in NHB was 13 min (IQR 4‒59 min), and in Hispanic was 19 min (IQR 5‒78 min, p < 0.001). The top two contributors of average wait time difference were mode of arrival and triage acuity level. Post-linear decomposition analysis showed that 72.96% of the NHB‒NHW and 87.77% of the Hispanic‒NHW average wait time difference were explained by variables analyzed. Conclusion: Compared to NHW patients, NHB and Hispanic patients typically experience longer ED wait times, primarily influenced by their mode of arrival and triaged acuity levels. Despite these recognized factors, there remains 12%‒27% unexplained factors at work, such as social determinants of health (including implicit bias and systemic racism) and many other unmeasured confounders, yet to be discovered.

Racial and Ethnic Differences in Mobile App Use for Meeting Sexual Partners Among Young Men Who Have Sex With Men and Young Transgender Women: Cross-Sectional Study.

Background: Young men who have sex with men and young transgender women (YMSM-YTW) use online spaces to meet sexual partners with increasing regularity, and research shows that experiences of racism online mimics the real world. Objective: We analyzed differences by race and ethnicity in web-based and mobile apps used to meet sexual partners as reported by Chicago-based YMSM-YTW in 2016-2017. Methods: A racially and ethnically diverse sample of 643 YMSM-YTW aged 16-29 years were asked to name websites or mobile apps used to seek a sexual partner in the prior 6 months, as well as provide information about sexual partnerships from the same period. We used logistic regression to assess the adjusted association of race and ethnicity with (1) use of any website or mobile apps to find a sexual partner, (2) use of a "social network" to find a sexual partner compared to websites or mobile apps predominantly used for dating or hookups, (3) use of specific websites or mobile apps, and (4) reporting successfully meeting a sexual partner online among website or mobile app users. Results: While most YMSM-YTW (454/643, 70.6%) used websites or mobile apps to find sexual partners, we found that Black non-Hispanic YMSM-YTW were significantly less likely to report doing so (comparing White non-Hispanic to Black non-Hispanic: adjusted odds ratio [aOR] 1.74, 95% CI 1.10-2.76). Black non-Hispanic YMSM-YTW were more likely to have used a social network site to find a sexual partner (comparing White non-Hispanic to Black non-Hispanic: aOR 0.20, 95% CI 0.11-0.37), though this was only reported by one-third (149/454, 32.8%) of all app-using participants. Individual apps used varied by race and ethnicity, with Grindr, Tinder, and Scruff being more common among White non-Hispanic YMSM-YTW (93/123, 75.6%; 72/123, 58.5%; and 30/123, 24.4%, respectively) than among Black non-Hispanic YMSM-YTW (65/178, 36.5%; 25/178, 14%; and 4/178, 2.2%, respectively) and Jack'd and Facebook being more common among Black non-Hispanic YMSM-YTW (105/178, 59% and 64/178, 36%, respectively) than among White non-Hispanic YMSM-YTW (6/123, 4.9% and 8/123, 6.5%, respectively). Finally, we found that while half (230/454, 50.7%) of YMSM-YTW app users reported successfully meeting a new sexual partner on an app, Black non-Hispanic YMSM-YTW app users were less likely to have done so than White non-Hispanic app users (comparing White non-Hispanic to Black non-Hispanic: aOR 2.46, 95% CI 1.50-4.05). Conclusions: We found that Black non-Hispanic YMSM-YTW engaged with websites or mobile apps and found sexual partners systematically differently than White non-Hispanic YMSM-YTW. Our findings give a deeper understanding of how racial and ethnic sexual mixing patterns arise and have implications for the spread of sexually transmitted infections among Chicago's YMSM-YTW.

Racial and ethnic disparities in mortality among World Trade Center Health Registry enrollees with post-9/11 cancer.

INTRODUCTION: There are well-documented racial and ethnic disparities in mortality after cancer in the general population, but less is known about whether disparities also exist in disaster-exposed populations. METHODS: We conducted a longitudinal cohort study of 4341 enrollees in the World Trade Center Health Registry (WTCHR) with a first-ever primary invasive cancer diagnosis after 9/11/2001 and followed through 2020. We examined associations of race and ethnicity with all-cause mortality risk and cause-specific mortality risk using multivariable Cox proportional hazards regression models and Fine and Gray's proportional sub-distribution hazards models, respectively. Models were adjusted for baseline characteristics and tumor characteristics. We also examined models further adjusted for socioeconomic status (SES), and we used inverse odds weighting to formally test for mediation by SES. RESULTS: Compared to non-Hispanic White enrollees with cancer, non-Hispanic Blacks had higher risks for all-cause mortality (adjusted hazard ratio (aHR) = 1.20, 95% CI = 1.02-1.41) and non-cancer mortality (aHR = 1.48, 95% CI = 1.09-2.01) in the full model. In the model without SES, Hispanic enrollees with cancer had higher risks for all-cause mortality (aHR = 1.32, 95% CI = 1.09-1.60) and cancer mortality (aHR = 1.31, 95% CI = 1.05-1.64) compared to non-Hispanic Whites; these associations became not statistically significant in the full model. In the inverse odds weighting analysis, SES explained 24% and 29% of the disparity in all-cause mortality risk observed in non-Hispanic Blacks and Hispanics, respectively, compared to non-Hispanic Whites. CONCLUSION: This study found that there are racial and ethnic disparities in mortality after cancer in the WTCHR. Additional studies are needed to further explore the factors mediating these disparities.

Racial and ethnic disparities in health risk from industrial surface water pollution in the United States, 2011-2021.

Industrial chemical pollution is released into surface water at a large scale annually in the United States. However, geographic variation and racial disparities in potential exposure are poorly understood at a national scale. Using county-level Risk-Screening Environmental Indicators data for 2011-2021 and American Community Survey data, this study analyzes the spatial and temporal distribution of health risk from modeled water releases using a Gamma hurdle model. Several racial disparities in presence of risk and amount of risk were identified, particular for Black or African American and Asian populations. At least 200 million U.S. residents live in a county where health risk from this pollution is present. Exposure reduction in high-risk areas may improve health for the broader population while also reducing inequities.

Racial and ethnic differences in unmet needs among older adults receiving publicly-funded home and community-based services.

BACKGROUND: Unmet need for home and community-based services (HCBS) may disparately impact older adults from racial and ethnic minoritized groups. We examined racial and ethnic differences in unmet need for HCBS among consumers ≥65 years using publicly funded HCBS. METHODS: We analyzed the National Core Indicators-Aging and Disability survey data (2015-2019) from 21,739 community-dwelling HCBS consumers aged ≥65 years in 23 participating states. Outcome measures included self-reported unmet need in six service types (i.e., personal care, homemaker/chore, delivered meals, adult day services, transportation, and caregiver support). Racial and ethnic groups included non-Hispanic Black, Asian, non-Hispanic White, Hispanic, and multiracial groups. Logistic regression models examined associations between race and ethnicity and unmet need, adjusting for sociodemographic, health, and HCBS program (i.e., Medicaid, Older Americans Act [OAA], Program for All-Inclusive Care for the Elderly [PACE]) characteristics, and use of specific service types. RESULTS: Among 21,739 respondents, 23.3% were Black, 3.4% were Asian, 10.8% were Hispanic, 58.8% were non-Hispanic White, and 3.7% were multiracial or identified with other races/ethnicities. Asian and Black consumers had higher odds of reporting unmet need in personal care than White consumers (adjusted odds ratio [aOR], 1.45, p value < 0.01; and aOR, 1.25, p < 0.001, respectively). Asian and Black consumers had significantly higher odds of unmet need in adult day services versus White consumers (aOR, 1.94, p < 0.001 and aOR, 1.39, p < 0.001, respectively). Black consumers had higher odds of unmet need versus non-Hispanic White consumers in meal delivery and caregiver support services (aOR, 1.29; p < 0.01; and aOR 1.26, p < 0.05, respectively). Race and ethnicity were not significantly associated with experiencing unmet need for homemaker/chore or transportation services. CONCLUSIONS: Future research should identify driving forces in disparities in unmet need to develop culturally appropriate solutions.

Exploring Prognostic Implications of Race and Ethnicity in Patients With Peripheral Arterial Disease.

INTRODUCTION: Significant health inequalities in major adverse limb events exist. Ethnically minoritized groups are more prone to have a major adverse event following peripheral vascular interventions. This systematic review and meta-analysis aimed to describe the postoperative implications of racial and ethnic status on clinical outcomes following vascular interventions for claudication and chronic limb-threatening ischemia. METHODS: Searches were conducted across seven databases from inception to June 2021 and were updated in October 2022 to identify studies reporting claudication or chronic limb-threatening ischemia in patients who underwent open, endovascular, or hybrid procedures. Studies with documented racial and ethnic status and associated clinical outcomes were selected. Extracted data included demographic and clinical characteristics, vascular interventions, and measured outcomes associated with race or ethnicity. Meta-analyses were performed using random-effect models to report pooled odds ratios (ORs) with 95% confidence intervals (CIs). RESULTS: Seventeen studies evaluating the impact of Black versus White patients undergoing amputation as a primary intervention were combined in a meta-analysis, revealing that Black patients had a higher incidence of amputations as a primary intervention than White patients (OR: 1.91, 95% CI: 1.61-2.27). Another meta-analysis demonstrated that Black patients had significantly higher rates of amputation after revascularization (OR: 1.56, 95% CI: 1.28-1.89). Furthermore, multiple trends were demonstrated in the secondary outcomes evaluated. CONCLUSIONS: Our findings suggest that Black patients undergo primary major amputation at a significantly higher rate than White patients, with similar trends seen among Hispanic and First Nations patients. Black patients are also significantly more likely to be subjected to amputation following attempts at revascularization when compared to White patients.

Racial Equity, Diversity and Inclusion in Bioethics: Recommendations from the Association of Bioethics Program Directors Presidential Task Force.

Recent calls to address racism in bioethics reflect a sense of urgency to mitigate the lethal effects of a lack of action. While the field was catalyzed largely in response to pivotal events deeply rooted in racism and other structures of oppression embedded in research and health care, it has failed to center racial justice in its scholarship, pedagogy, advocacy, and practice, and neglected to integrate anti-racism as a central consideration. Academic bioethics programs play a key role in determining the field's norms and practices, including methodologies, funding priorities, and professional networks that bear on equity, inclusion, and epistemic justice. This article describes recommendations from the Racial Equity, Diversity, and Inclusion (REDI) Task Force commissioned by the Association of Bioethics Program Directors to prioritize and strengthen anti-racist practices in bioethics programmatic endeavors and to evaluate and develop specific goals to advance REDI.

Association of race and ethnicity with the development of cystic fibrosis-related diabetes.

BACKGROUND: CF-related diabetes (CFRD) is a common, life-expectancy limiting complication of CF. While Black race and Hispanic ethnicity in youth-onset type 1 and type 2 diabetes are well-recognized risk factors for worse diabetes complications, the potential for racial/ethnic disparities in CFRD has received limited attention. METHODS: We conducted a retrospective cohort study utilizing the CF Foundation Patient Registry from 2010 to 2019 to determine the prevalence and incidence of CFRD by race/ethnicity. Three age cohorts were identified at baseline in 2010 (11-20y, 21-30y, and 31-40y). Logistic regression and Cox regression stratified by age group were used to determine the prevalence and incidence, respectively, among Hispanic, non-Hispanic Blacks (NHB), and non-Hispanic whites (NHW) after adjustment for relevant confounders, including demographics, socioeconomic status, clinical factors, and chronic medication use. RESULTS: Among 14,660 registry participants, 510 were NHB and 890 Hispanic. NHB associated with higher odds of CFRD baseline prevalence in all age cohorts (11-20y: OR 2.53 (95 % CI: 1.88-3.41, P < 0.05), 21-30y: OR 1.80 (1.25-2.59, P < 0.05), and 31-40y: OR 1.93 (1.00-3.73, P < 0.05)) relative to NHW. In the 11-20y cohort, the hazard of new-onset CFRD was 40 % higher in NHB (HR 1.40 (1.09-1.8, P < 0.05)) and 19 % higher in Hispanics (HR 1.19 (1.01-1.41, P < 0.05)). CONCLUSION: NHB had a higher prevalence of CFRD across all age groups, with NHB and Hispanics showing higher incidence of CFRD in the youngest group. Multicenter studies performed in diverse CF populations are warranted to identify modifiable factors influencing earlier CFRD development in minoritized groups and their potential contribution to diabetes complication disparities.

A Comparative Analysis of Healthcare Quality Perception Among Different Vulnerable Populations with and without Telehealth Utilization: A Cross-Sectional Study from the Health Information National Trends Survey.

OBJECTIVE: The COVID-19 pandemic led to a rapid expansion of telehealth utilization in medicine. However, the quality measures associated with telehealth use remain unclear, particularly among vulnerable populations. This study aims to investigate the impact of telehealth on individuals' perception of overall quality care among vulnerable patient populations. METHODS: This cross-sectional study utilized Health Information National Trends Survey data. The individuals' overall perception of healthcare quality was compared between populations that had at least one telehealth visit and non-telehealth users, who all had the option of utilizing telehealth. This comparison focused on vulnerable populations, considering differences in race and ethnicity (non-Hispanic white vs. non-Hispanic black/Hispanic individuals) and socioeconomic status (high vs. low). Multivariable logistic regressions were employed to ascertain the association between individuals' overall perceptions of quality care with and without telehealth utilization. RESULTS: A total of 2920 participants, representing an unweighted population of 114,608,302, were analyzed. The adjusted odds ratio (AOR) for at least one telehealth visit associated with individuals' overall perception of quality care among the entire survey population was 0.76 with a 95% CI of 0.51-1.13 (p = 0.173). The AOR was 0.83 (95% CI 0.39-1.77, p = 0.618) among the non-White population, and the AOR was 0.71 (95% CI 0.29-1.78, p = 0.462) among individuals with low SES. CONCLUSIONS: Although telehealth utilization has both its limitations and advantages compared to traditional clinical visits, no statistically significant differences in individuals' overall perception of quality care were identified among telehealth and non-telehealth users. These findings were also consistent across various vulnerable populations.

The Double-Edged Sword of Online Learning for Ethnoracial Differences in Adolescent Mental Health During Late Period of the COVID-19 Pandemic in the United States: National Survey.

BACKGROUND: Despite several theories suggesting online learning during the COVID-19 pandemic would aggravate ethnoracial disparities in mental health among adolescents, extant findings suggest no ethnoracial differences in mental health or that those from minoritized ethnoracial groups reported better mental health than their White counterparts. OBJECTIVE: This study aimed to identify why findings from prior studies appear to not support that ethnoracial disparities in mental health were aggravated by testing 2 pathways. In pathway 1 pathway, online learning was associated with reporting fewer confidants, which in turn was associated with poorer mental health. In pathway 2, online learning was associated with reporting better sleep, which in turn was associated with better mental health. METHODS: We analyzed survey data from a US sample (N=540) of 13- to 17-year-olds to estimate how school modality was associated with mental health via the 2 pathways. The sample was recruited from the AmeriSpeak Teen Panel during spring of 2021, with an oversample of Black and Latino respondents. Ethnoracial categories were Black, Latino, White, and other. Mental health was measured with the 4-item Patient Health Questionnaire, which assesses self-reported frequency of experiencing symptoms consistent with anxiety and depression. School modality was recorded as either fully online or with some in-person component (fully in-person or hybrid). We recorded self-reports of the number of confidants and quality of sleep. Covariates included additional demographics and access to high-speed internet. We estimated bivariate associations between ethnoracial group membership and both school modality and mental health. To test the pathways, we estimated a path model. RESULTS: Black and Latino respondents were more likely to report being in fully online learning than their White counterparts (P<.001). Respondents in fully online learning reported fewer confidants than those with any in-person learning component (ß=-.403; P=.001), and reporting fewer confidants was associated with an increased likelihood of reporting symptoms consistent with anxiety (ß=-.121; P=.01) and depression (ß=-.197; P<.001). Fully online learning respondents also reported fewer concerns of insufficient sleep than their in-person learning counterparts (ß=-.162; P=.006), and reporting fewer concerns was associated with a decreased likelihood of reporting symptoms consistent with anxiety (ß=.601; P<.001) and depression (ß=.588; P<.001). Because of these countervailing pathways, the total effect of membership in a minoritized ethnoracial group on mental health was nonsignificant. CONCLUSIONS: The findings compel more nuanced discussions about the consequences of online learning and theorizing about the pandemic's impact on minoritized ethnoracial groups. While online learning may be a detriment to social connections, it appears to benefit sleep. Interventions should foster social connections in online learning and improve sleep, such as implementing policies to enable later start times for classes. Future research should incorporate administrative data about school modality, rather than relying on self-reports.

Association of electronic-cigarette, number of cigarettes, and marijuana use with high-risk Human Papillomavirus (HPV) among men and women: A cross-sectional analysis of a nationally representative sample.

BACKGROUND: Smoking is associated with an increased risk of HPV infection. However, the use of e-cigarettes and marijuana, number of cigarettes, and serum cotinine concentrations in relation with HPV (6, 11, 16, 18) and high-risk HPV (16 or 18) infections in underserved and understudied populations remain poorly understood. METHODS: Data included 687 males and 664 females among whom 489 were White, 375 were Black and 342 were Hispanics from the NHANES 2013-2016 with HPV and high-risk HPV infections. Smoking history included current and past smokers, number of cigarettes, use of e-cigarettes, marijuana, and serum cotinine levels. Weighted multivariable-adjusted logistic regression models were conducted. RESULTS: High-risk HPV infection was associated with current smoking history plus ≥ 20 cigarettes/day (OR=1.92, 95 % CI=1.09, 3.37) in the overall population. E-cigarettes use (5 days) was positively associated with high-risk HPV infection (OR=2.43, 95 % CI=1.13, 5.22) in the overall population, with similar findings with e-cigarette (past 30 days) among women and Whites. CONCLUSION: High number of cigarettes, e-cigarette usage and marijuana were associated with HPV and high-risk HPV infections in the overall population. Most of these associations remained significant when stratified by gender and race/ethnicity. Increasing use of e-cigarettes and marijuana in these population warrants further investigation for the prevention of HPV infection and related cancers.