Financial hardship, sleep disturbances, and their relationship among men and women in the United States during the COVID-19 pandemic.

OBJECTIVE: In the United States (US), the health and financial consequences of COVID-19 have disproportionately impacted women and minoritized racial-ethnic groups. Yet, few US studies have investigated financial hardship during the COVID-19 pandemic and sleep health disparities. Our objective was to investigate associations between financial hardship and sleep disturbances during the COVID-19 pandemic by gender and race and ethnicity in the United States. METHODS: We used the nationally representative COVID-19's Unequal Racial Burden cross-sectional survey data collected among 5339 men and women from 12/2020 to 2/2021. Participants reported financial hardship (eg, debt, employment/work loss) since the pandemic began and completed the Patient-Reported Outcomes Management Information System Short Form 4a for sleep disturbances. Prevalence ratios (PRs) and 95% confidence intervals were estimated using adjusted, weighted Poisson regression with robust variance. RESULTS: Most (71%) participants reported financial hardship. Prevalence of moderate to severe sleep disturbances was 20% overall, higher among women (23%), and highest among American Indian/Alaska Native (29%) and multiracial adults (28%). Associations between financial hardship and moderate to severe sleep disturbances (PR = 1.52 [95% confidence interval: 1.18, 1.94]) did not differ by gender but varied by race and ethnicity: associations were strongest among Black/African American (PR = 3.52 [1.99,6.23]) adults. CONCLUSIONS: Both financial hardship and sleep disturbances were prevalent, and their relationships were strongest among certain minoritized racial-ethnic groups, particularly Black/African American adults. Interventions that alleviate financial insecurity may reduce sleep health disparities.

Disparities in telehealth access, not willingness to use services, likely explain rural telehealth disparities.

PURPOSE: Although telehealth access and utilization have increased during the pandemic, rural and low-income disparities persist. We sought to assess whether access or willingness to use telehealth differed between rural and non-rural and low-income and non-low-income adults and measure the prevalence of perceived barriers. METHODS: We conducted a cross-sectional study using COVID-19's Unequal Racial Burden (CURB) online survey (December 17, 2020-February 17, 2021), which included 2 nationally representative cohorts of rural and low-income Black/African American, Latino, and White adults. Non-rural and non-low-income participants from the main, nationally representative sample were matched for rural versus non-rural and low-income versus non-low-income comparisons. We measured perceived telehealth access, willingness to use telehealth, and perceived telehealth barriers. FINDINGS: Rural (38.6% vs 44.9%) and low-income adults (42.0% vs 47.4%) were less likely to report telehealth access, compared to non-rural and non-low-income counterparts. After adjustment, rural adults were still less likely to report telehealth access (adjusted prevalence ratio [aPR] = 0.89, 95% CI = 0.79-0.99); no differences were seen between low-income and non-low-income adults (aPR = 1.02, 95% CI = 0.88-1.17). The majority of adults reported willingness to use telehealth (rural = 78.4%; low-income = 79.0%), with no differences between rural and non-rural (aPR = 0.99, 95% CI = 0.92-1.08) or low-income versus non-low-income (aPR = 1.01, 95% CI = 0.91-1.13). No racial/ethnic differences were observed in willingness to use telehealth. The prevalence of perceived telehealth barriers was low, with the majority reporting no barriers (rural = 57.4%; low-income = 56.9%). CONCLUSIONS: Lack of access (and awareness of access) is likely a primary driver of disparities in rural telehealth use. Race/ethnicity was not associated with telehealth willingness, suggesting that equal utilization is possible once granted access.

Economic and Psychosocial Impact of COVID-19 in the Hispanic Community Health Study/Study of Latinos.

Objectives: To examine the prevalence and correlates of economic hardship and psychosocial distress experienced during the initial phase of the coronavirus disease 2019 (COVID-19) pandemic in a large cohort of Hispanic/Latino adults. Methods: The Hispanic Community Health Study/Study of Latinos (HCHS/SOL), an ongoing multicenter study of Hispanic/Latino adults, collected information about COVID-19 illness and psychosocial and economic distress that occurred during the pandemic (N=11,283). We estimated the prevalence of these experiences during the initial phase of the pandemic (May 2020 to May 2021) and examined the prepandemic factors associated with pandemic-related economic hardship and emotional distress using multivariable log linear models with binomial distributions to estimate prevalence ratios. Results: Almost half of the households reported job losses and a third reported economic hardship during the first year of the pandemic. Pandemic-related household job losses and economic hardship were more pronounced among noncitizens who are likely to be undocumented. Pandemic-related economic hardship and psychosocial distress varied by age group and sex. Contrary to the economic hardship findings, noncitizens were less likely to report pandemic-related psychosocial distress. Prepandemic social resources were inversely related to psychosocial distress. Conclusions: The study findings underscore the economic vulnerability that the pandemic has brought to ethnic minoritized and immigrant populations in the United States, in particular noncitizens. The study also highlights the need to incorporate documentation status as a social determinant of health. Characterizing the initial economic and mental health impact of the pandemic is important for understanding the pandemic consequences on future health. Clinical Trial Registration Number: NCT02060344.

COVID-19 vaccination willingness and uptake among rural Black/African American, Latino, and White adults.

PURPOSE: The purpose of this study was to assess differences in COVID-19 vaccine willingness and uptake between rural and nonrural adults, and within rural racial-ethnic groups. METHODS: We utilized data from the COVID-19's Unequal Racial Burden online survey, which included 1,500 Black/African American, Latino, and White rural adults (n = 500 each). Baseline (12/2020-2/2021) and 6-month follow-up (8/2021-9/2021) surveys were administered. A cohort of nonrural Black/African American, Latino, and White adults (n = 2,277) was created to compare differences between rural and nonrural communities. Multinomial logistic regression was used to assess associations between rurality, race-ethnicity, and vaccine willingness and uptake. FINDINGS: At baseline, only 24.9% of rural adults were extremely willing to be vaccinated and 28.4% were not at all willing. Rural White adults were least willing to be vaccinated, compared to nonrural White adults (extremely willing: aOR = 0.44, 95% CI = 0.30-0.64). At follow-up, 69.3% of rural adults were vaccinated; however, only 25.3% of rural adults who reported being unwilling to vaccinate were vaccinated at follow-up, compared to 95.6% of adults who were extremely willing to be vaccinated and 76.3% who were unsure. Among those unwilling to vaccinate at follow-up, almost half reported distrust in the government (52.3%) and drug companies (46.2%); 80% reported that nothing would change their minds regarding vaccination. CONCLUSIONS: By August 2021, almost 70% of rural adults were vaccinated. However, distrust and misinformation were prevalent among those unwilling to vaccinate at follow-up. To continue to effectively combat COVID-19 in rural communities, we need to address misinformation to increase COVID-19 vaccination rates.

Hispanic/Latino Acculturation Profiles and Telomere Length: Latent Class Analysis on a Nationally Representative Sample.

Background: Acculturation profiles and their impact on telomere length among foreign-born Hispanics/Latinos living in the United States (US) are relatively unknown. The limited research available has linked acculturation with shortened telomere length. Objectives: To identify acculturation profiles among a US representative sample of Hispanics/Latinos and to then examine telomere length differences between profiles. Methods: We conducted a latent class analysis among a non-institutionalized US-representative sample of Hispanics/Latinos using the 1999-2002 National Health and Nutrition Examination Survey (N = 2,292). The latent variable of acculturation was assessed by length of time in the US and language used as a child, read and spoken, usually spoken at home, used to think, and used with friends (i.e., Spanish and/or English). Telomere length assessed from leukocytes was used as the distal continuous outcome. Results: We identified five profiles: (1) low acculturated [33.2% of sample]; (2) partially integrated [18.6% of sample]; (3) integrated [19.4% of sample]; (4) partially assimilated [15.1% of sample]; and (5) assimilated [13.7% of sample]. Acculturation profiles revealed nuanced differences in conditional probabilities with language use despite the length of time spent in the US. While telomere length did vary, there were no significant differences between profiles. Conclusion: Profiles identified revealed that possible life-course and generational effects may be at play in the partially assimilated and assimilated profiles. Our findings expand public health research using complex survey data to identify and assess the dynamic relationship of acculturation profiles and health biomarkers, while being among the first to examine this context using a person-centered approach.

Racial and Ethnic Disparities in Excess Deaths During the COVID-19 Pandemic, March to December 2020.

BACKGROUND: Although racial/ethnic disparities in U.S. COVID-19 death rates are striking, focusing on COVID-19 deaths alone may underestimate the true effect of the pandemic on disparities. Excess death estimates capture deaths both directly and indirectly caused by COVID-19. OBJECTIVE: To estimate U.S. excess deaths by racial/ethnic group. DESIGN: Surveillance study. SETTING: United States. PARTICIPANTS: All decedents. MEASUREMENTS: Excess deaths and excess deaths per 100 000 persons from March to December 2020 were estimated by race/ethnicity, sex, age group, and cause of death, using provisional death certificate data from the Centers for Disease Control and Prevention (CDC) and U.S. Census Bureau population estimates. RESULTS: An estimated 2.88 million deaths occurred between March and December 2020. Compared with the number of expected deaths based on 2019 data, 477 200 excess deaths occurred during this period, with 74% attributed to COVID-19. Age-standardized excess deaths per 100 000 persons among Black, American Indian/Alaska Native (AI/AN), and Latino males and females were more than double those in White and Asian males and females. Non-COVID-19 excess deaths also disproportionately affected Black, AI/AN, and Latino persons. Compared with White males and females, non-COVID-19 excess deaths per 100 000 persons were 2 to 4 times higher in Black, AI/AN, and Latino males and females, including deaths due to diabetes, heart disease, cerebrovascular disease, and Alzheimer disease. Excess deaths in 2020 resulted in substantial widening of racial/ethnic disparities in all-cause mortality from 2019 to 2020. LIMITATIONS: Completeness and availability of provisional CDC data; no estimates of precision around results. CONCLUSION: There were profound racial/ethnic disparities in excess deaths in the United States in 2020 during the COVID-19 pandemic, resulting in rapid increases in racial/ethnic disparities in all-cause mortality between 2019 and 2020. PRIMARY FUNDING SOURCE: National Institutes of Health Intramural Research Program.