The association between social determinants of health and psychological distress during the COVID-19 pandemic: a secondary analysis among four racial/ethnic groups.

BACKGROUND: Racial disparities in psychological distress associated with COVID-19 remain unclear in the U.S. This study aims to investigate the associations between social determinants of health and COVID-19-related psychological distress across different racial/ethnic groups in the US (i.e., non-Hispanic Whites, Hispanic, non-Hispanic Asians, and non-Hispanic African Americans). METHODS: This study used cross-sectional data from the 2020 California Health Interview Survey Adult Data Files (N = 21,280). Adjusting for covariates-including age, gender, COVID-19 pandemic challenges, and risk of severe illness from COVID-19-four sets of weighted binary logistic regressions were conducted. RESULTS: The rates of moderate/severe psychological distress significantly varied across four racial/ethnic groups (p < 0.001), with the highest rate found in the Hispanic group. Across the five domains of social determinants of health, we found that unemployment, food insecurity, housing instability, high educational attainment, usual source of health care, delayed medical care, and low neighborhood social cohesion and safety were associated with high levels of psychological distress in at least one racial/ethnic group (p < 0.05). CONCLUSION: Our study suggests that Hispanic adults face more adverse social determinants of health and are disproportionately impacted by the pandemic. Public health practice and policy should highlight social determinants of heath that are associated with different racial/ethnic groups and develop tailored programs to reduce psychological distress.

Delayed medical care and underlying health in the United States during the COVID-19 pandemic: A cross-sectional study.

This study assesses the association between underlying health conditions and delaying medical care during the COVID-19 pandemic. An online cross-sectional survey administered by OutbreaksNearMe.org on Momentive.ai collected self-reported data from April 27 to June 2, 2020 and May 10 to June 13, 2021. We used weighted multivariable logistic regressions to assess the association between delaying care and self-reported health status, adjusting for demographics. Of 312,661 total responses (99.6% completion rate), 17.1% reported delayed medical care. Compared to good health, those with poor health were more likely to delay care (AOR = 2.62, 95% CI [2.47, 2.78]). Individuals with any underlying condition (AOR = 1.62, 95% CI [1.58, 1.65]) and each of the conditions were more likely to delay care. Differences in delaying care were observed across region, year, and demographics. Our finding is that those at higher risk of severe COVID-19 were more likely to delay medical care in 2020 and 2021, which could exacerbate existing health conditions and existing disparities.

Monthly Trends in Access to Care and Mental Health Services by Household Income Level During the COVID-19 Pandemic, United States, April: December 2020.

Purpose: Since the start of the coronavirus disease 2019 (COVID-19) pandemic in March 2020, ∼40% of U.S. adults have experienced delayed medical care. Rates of uninsurance, delayed care, and utilization of mental health services during the course of the pandemic have not been analyzed in detail. We examined monthly trends and disparities in access to care by household income levels in the United States. Methods: Using Census Bureau's nationally representative pooled 2020 Household Pulse Survey from April to December, 2020 (N=778,819), logistic regression models were used to analyze trends and inequalities in various access to care measures. Results: During the COVID-19 pandemic, the odds of being uninsured, having a delayed medical care due to pandemic, delayed care of something other than COVID-19, or delayed mental health care were, respectively, 5.54, 1.50, 1.85, and 2.18 times higher for adults with income <$25,000, compared to those with incomes ≥$200,000, controlling for age, sex, race/ethnicity, education, marital status, housing tenure, region of residence, and survey month. Income inequities in mental health care widened over the course of the pandemic, while the probability of delayed mental health care increased for all income groups. Although the odds of taking prescription medication for mental health were higher for low-income adults, the odds of receiving mental health services were generally lower for lower income adults, controlling for all covariates. Conclusion: In light of our findings on persistent health care inequities during the pandemic, increased policy efforts are needed to improve access to care in low-income populations as an equitable COVID-19 recovery response.