Anticipatory stress, state policy contexts, and mental health during the COVID-19 pandemic

Substantial economic disruptions during the COVID-19 pandemic upended daily life and contributed to a widespread symptom of psychological distress during this period. Disruptions also led to more concerns about future stressful events related to financial hardship, or economic-related anticipatory stress, with the potential to undermine mental health. Although prior research provides ample evidence that state policies can impact mental and physical health, it has not considered how state policy contexts reduce adverse psychological outcomes stemming from economic-related anticipatory stress. The present study uses national survey data from the Census Bureau's Household Pulse Survey (April 2020–October 2020) to examine the extent to which state policy contexts moderate the association between economic-related anticipatory stress and depression/anxiety. We find that states with stronger social safety nets weakened the impact of anticipatory stress on depression/anxiety. This finding held for different types of anticipated economic hardships (i.e., reduced income, difficulty paying rent, difficulty affording food), as well as for policies that existed prior to COVID-19 and policies enacted in response to COVID-19. Findings provide strong evidence that state policies may buffer against poor mental outcomes for people who even anticipate facing economic uncertainty during the COVID-19 pandemic. We provide insight into how state policy contexts can shape individual experiences in ways that impact the mental health outcomes of the United States population.

Changes in social lives and loneliness during COVID-19 among older adults: a closer look at the sociodemographic differences.

OBJECTIVES: The COVID-19 pandemic greatly impacted the social lives of older adults across several areas, leading to concern about an increase in loneliness. This study examines the associations of structural, functional, and quality aspects of social connection with increased loneliness during COVID-19 and how these associations vary by sociodemographic factors. DESIGN: Secondary data analyses on a nationally representative survey of older US adults. SETTING: The 2020 Health and Retirement Study (HRS) COVID-19 module. PARTICIPANTS: The study sample includes 3,804 adults aged 54 or older. MEASUREMENTS: Increased loneliness was based on respondents' self-report on whether they felt lonelier than before the COVID-19 outbreak. RESULTS: While 29% felt lonelier after COVID-19, middle-aged adults, women, non-Hispanic Whites, and the most educated were more likely to report increased loneliness. Not having enough in-person contact with people outside the household was associated with increased loneliness (OR = 10.07, p < .001). Receiving emotional support less frequently (OR = 2.28, p < .05) or more frequently (OR = 2.00, p < .001) than before was associated with increased loneliness. Worse quality of family relationships (OR = 1.85, p < .05) and worse friend/neighbor relationships (OR = 1.77, p < .01) were related to feeling lonelier. Significant interactions indicated stronger effects on loneliness of poor-quality family relationships for women and insufficient in-person contact with non-household people for the middle-aged group and non-Hispanic Whites. CONCLUSIONS: Our findings show an increase in loneliness during COVID-19 that was partly due to social mitigation efforts, and also uncover how sociodemographic groups were impacted differently, providing implications for recovery and support.

Inequality in Household Job Insecurity and Mental Health: Changes During the COVID-19 Pandemic.

Using nationally representative data from the Household Pulse Survey (April 2020-March 2021), we examined how associations between household job insecurity and mental health changed throughout the first year of the COVID-19 pandemic in the United States (n = 1,248,043). We also documented changes in the unequal distribution of job insecurity by race/ethnicity and educational attainment over time. We find that job insecurity was strongly associated with depression and anxiety throughout the study period, and the associations strengthened as the pandemic continued, especially in fall 2020. Moreover, racial/ethnic minorities with lower levels of educational attainment had the greatest risk of job insecurity, and educational disparities in job insecurity changed over time. Psychological distress during the pandemic, including disparities therein, must be considered a public health priority.

Sociodemographic and health status differences in delaying medical care during the COVID-19 pandemic among older adults: findings from the Health and Retirement Study.

BACKGROUND: During the COVID-19 Pandemic, adults in the United States reported delaying medical care, which may be tied risk of infection and local policies limiting appointment. Some populations may have been more likely to delay care than others, leading to other forms of health inequality during this period. To-date there is little research on delayed care among U.S. older adult. We determine the prevalence of delayed medical care among older adults and investigate sociodemographic and health status inequalities in delaying health care. METHOD: We used data from the first public release of the nationally representative Health and Retirement Study COVID-19 Subsample (N = 3006). Using logistic regression, we assessed whether differences in delaying health care varied by age, sex, race/ethnicity, education, self-rated health (SRH), and having any Activity of Daily Living (ADL) limitation. We also conducted additional analysis that evaluated differences in delaying care by two care subtypes: doctor and dental care visits. RESULTS: About 30% of U.S. older adults reported delaying care with the most common types of delayed care being dental or doctor visits. Adults ages 75 and older were less likely to delay care, while women, college educated, and those with poor SRH, and any ADL limitations were more likely to delay care. CONCLUSIONS: Nearly one-third of older adults delayed care during the COVID-19 pandemic. The increased likelihood of delayed care among people with worse health suggests that there may be longer-term impacts on the health care system and population health from the COVID-19 pandemic, and may contribute to health inequalities in the near future.

How do state policies shape experiences of household income shocks and mental health during the COVID-19 pandemic?

The tremendous job loss and wage cuts during the COVID-19 pandemic raises concerns about the mental health of the population. The impacts of income shocks on mental health may differ across U.S. states during the pandemic, as states have different policy contexts that likely influence mental health. The present study uses survey data from the Census Bureau's Household Pulse Survey (April-July 2020) to examine whether mental health outcomes vary across U.S. states and to what extent specific state-level contexts moderate the associations between household income shocks and depression (n = 582,440) and anxiety (n = 582,796). We find that the prevalence of depression and anxiety differs across states by household income shock status. For individuals, living in a state with supportive social policies - primarily those related to Medicaid, unemployment insurance, and suspended utility shut offs during the pandemic - weakens the association between household income shocks and mental health. Findings suggest that the lack of a strong federal response to the pandemic alongside the devolution of federal power to states over the past 40 years contributes to inequalities in mental health across states. We provide insight about how specific existing and emergency-related policies can reduce adverse mental health consequences of household income shocks.

COVID-19 Social Distancing Measures and Loneliness Among Older Adults.

OBJECTIVES: In response to the coronavirus disease 2019 (COVID-19) pandemic, older adults are advised to follow social distancing measures to prevent infection. However, such measures may increase the risk of loneliness. The current study aimed to investigate (a) whether social distancing measures, particularly limiting close social interactions, are associated with loneliness among older adults, and (b) whether the association between social distancing measures and loneliness is moderated by sociodemographic characteristics. METHOD: Data were from the fourth wave (April 29 to May 26, 2020) of the nationally representative Understanding America Study COVID-19 Survey. We used data on adults 50 years or older (N = 3,253). Logistic regression models of loneliness were performed. Five indicators of social distancing measures were considered: (a) avoiding public spaces, gatherings, or crowds; (b) canceling or postponing social activities; (c) social visits; (d) no close contact (within 6 feet) with people living together; and (e) with people not living together. RESULTS: Cancelling or postponing social activities and avoiding close contact with people living together were associated with 33% (odds ratio [OR] = 1.33, confidence interval [CI] = 1.06-1.68, p < .05) and 47% (OR = 1.47, CI = 1.09-1.99, p < .05) greater odds of loneliness, respectively. Furthermore, limiting close contact with coresidents increased the probability of loneliness more for males, non-Hispanic Whites, and those with higher levels of education and income. DISCUSSION: Efforts should be made to help older adults maintain social connectedness with close others by virtual communication methods. Our findings also call special attention to vulnerable groups at elevated risks of loneliness, emphasizing the need for tailored interventions.