Child Tax Credit, Spending Patterns, and Mental Health: Mediation Analyses of Data from the U.S. Census Bureau's Household Pulse Survey during COVID-19

This study examined the relationship between the receipt of COVID-19 child tax credit and adult mental health problems in the United States, and we explored whether and the extent to which a wide range of spending patterns of the credit—15 patterns regarding basic necessities, child education, and household expenditure—mediated the relationship. We used COVID-19-specialized data from the U.S. Census Bureau's Household Pulse Survey, a representative population sample (N = 98,026) of adult respondents (18 and older) who participated between 21 July 2021 and 11 July 2022. By conducting mediation analyses with logistic regression, we found relationships between the credit and lower levels of anxiety (odds ratio [OR] = 0.914;95% confidence interval [CI] = 0.879, 0.952). The OR was substantially mediated by spending on basic necessities such as food and housing costs (proportion mediated = 46% and 44%, respectively). The mediating role was relatively moderate in the case of spending on child education and household expenditure. We also found that spending the credit on savings or investments reduces the effect of the child tax credit on anxiety (−40%) while donations or giving to family were not a significant mediator. Findings on depression were consistent with anxiety. The child tax credit–depression relationships were substantially mediated by spending on food and housing (proportion mediated = 53% and 70%). These mediation analyses suggested that different patterns of credit spending are important mediators of the relationship between the receipt of the child tax credit and mental illnesses. Public health approaches to improve adult mental health during and after the COVID-19 pandemic need to consider the notable mediating role of spending patterns.

Motivations behind Vaccine Hesitancy: Examining Altruism and Government Distrust across Job Sectors during COVID-19

This article examines vaccination and vaccine hesitancy during the COVID-19 pandemic by focusing on the role of altruism and distrust in government across different job sectors. Using the Household Pulse Survey, a nationally representative and near real-time dataset administered by the United States Census Bureau, our findings suggest that there is a clear difference in vaccine take-up and vaccine hesitancy across job sectors. We find that government and nonprofit employees are more likely to receive vaccines and, if not vaccinated yet, are less vaccine-hesitant than private-sector employees. Additionally, motivations behind vaccine hesitancy, particularly altruism and distrust in government, varied according to one's sector affiliation. Government and nonprofit employees, compared to private employees, were more likely to be vaccine hesitant for altruistic motivations. Differences in government distrust across sectors bore unexpected results, as we found no difference between government and private employees, while nonprofit employees were less likely to be vaccine hesitant due to government distrust. We discuss the implications and contributions of this article and suggest future agenda for COVID-19 research and sector comparison literature.

Child Tax Credit, Spending Patterns, and Mental Health: Mediation Analyses of Data from the U.S. Census Bureau's Household Pulse Survey during COVID-19.

This study examined the relationship between the receipt of COVID-19 child tax credit and adult mental health problems in the United States, and we explored whether and the extent to which a wide range of spending patterns of the credit-15 patterns regarding basic necessities, child education, and household expenditure-mediated the relationship. We used COVID-19-specialized data from the U.S. Census Bureau's Household Pulse Survey, a representative population sample (N = 98,026) of adult respondents (18 and older) who participated between 21 July 2021 and 11 July 2022. By conducting mediation analyses with logistic regression, we found relationships between the credit and lower levels of anxiety (odds ratio [OR] = 0.914; 95% confidence interval [CI] = 0.879, 0.952). The OR was substantially mediated by spending on basic necessities such as food and housing costs (proportion mediated = 46% and 44%, respectively). The mediating role was relatively moderate in the case of spending on child education and household expenditure. We also found that spending the credit on savings or investments reduces the effect of the child tax credit on anxiety (-40%) while donations or giving to family were not a significant mediator. Findings on depression were consistent with anxiety. The child tax credit-depression relationships were substantially mediated by spending on food and housing (proportion mediated = 53% and 70%). These mediation analyses suggested that different patterns of credit spending are important mediators of the relationship between the receipt of the child tax credit and mental illnesses. Public health approaches to improve adult mental health during and after the COVID-19 pandemic need to consider the notable mediating role of spending patterns.

Racial disparities in unemployment benefits among U.S. mortgage borrowers during COVID-19.

This article describes racial and ethnic differences in mortgage payment difficulties during the COVID-19 pandemic and examines whether disparities exist in the benefits of the unemployment insurance (UI) program. The sample consisted of 80,797 jobless mortgage borrowers who received or waited for UI benefits between August 2020 and May 2022. Considering individual- and state-level variables in multilevel logistic regressions, we examined rates of mortgage delay in the last month and payment concerns about the next month by racial and ethnic group. Minority borrowers were more likely to have a difficulty in paying mortgage than White borrowers. UI recipients-regardless of race and ethnicity-were less likely to experience mortgage difficulties, but the positive unemployment benefit was reduced disproportionately among Blacks. Blacks were also at a higher risk of mortgage difficulties compounded by other pandemic-induced hardships-loss of household, lack of food, and mental illness-even after the receipt of UI. Findings on the intersection between race and ethnicity and UI suggest that pandemic policy interventions should be race conscious and consider the longstanding and systematic barriers experienced by minority mortgage borrowers. Supplementary Information: The online version contains supplementary material available at 10.1007/s10901-022-10006-w.

Disparities in food insecurity during the COVID-19 pandemic: A two-year analysis.

While the overall level of food insecurity in the United States has remained stable during the COVID-19 pandemic, certain individuals and regions have fared worse than others. This study examines state-level variables affecting individual- and household-level food insecurity during the recent two years of the pandemic beginning in 2020 by utilizing the Household Pulse Survey, a new nationally representative dataset developed by the United States Census Bureau. The results of this study suggest a set of statewide factors, such as pandemic-driven market conditions, COVID-19 prevalence, and the implementation of federal programs, are associated with the level of food insecurity that individuals have experienced during the pandemic over the past two years. The associations varied by household income levels, indicating a strong relationship between higher-income households and market conditions, as well as the importance of federal programs and state policies in alleviating food insecurity among lower-income households. The food insecurity indices also overlapped with different socioeconomic and health hardships caused by the pandemic, such as employment income loss, housing instability, and mental health problems. The findings of this study highlight state-level contexts, particularly the role of state governments, in responding to pandemic-related food insecurity.

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.

Government Employees’ Experience and Expectation of COVID-19 Hardships: The Moderating Role of Gender and Race in the United States

This article examines government employees? experience and expectation of socioeconomic hardships during the COVID-19 pandemic?employment income loss, housing instability, and food insufficiency?by focusing on the role of gender and race. Employing the Household Pulse Survey, a nationally representative and near real-time pandemic data deployed by the U.S. Census Bureau, we find that government employees were less affected by the pandemic than non-government employees across socioeconomic hardships. However, female and racial minorities, when investigated within government employees, have a worse experience and expectation of pandemic hardships than men and non-Hispanic Whites. Our findings suggest a clear gender gap and racial disparities in the experience and expectation of pandemic hardships.

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.