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Racial and ethnic inequality continues to be the subject of considerable public interest. We shed light on this issue by examining racial disparities in the prevalence of several types of hardship, such as trouble paying bills and housing problems, in the USA over the 1992–2019 period. Using data from several panels of the Survey of Income and Prog...
Citations
... The overall mean number of financial hardship domains experienced during the pandemic was 1.90 (standard deviation [SD] 1.8). Similar to the prevalence of ''any'' financial hardship during the pandemic, substantial variation in the number of hardship [4][5][6], some [2][3], little [1], and no hardships). ...
Introduction: The economic impact of the COVID-19 pandemic has been substantial, yet little is known about the financial effects resulting from lost employment or financial hardship racial–ethnic disparities.
Methods: We conducted a nationally representative, online survey of 5500 English- and Spanish-speaking American Indian/Alaska Native, Asian, Black/African American, Native Hawaiian/Pacific Islander, Latino, White, and multiracial adults, from December 2020 to February 2021. Six financial hardship domains were measured (lost income, debt, unmet expenses, unmet health care expenses, housing insecurity, and food insecurity). Prevalence of financial hardship among each racial-ethnic group was estimated using multivariable Poisson regression.
Results: Overall, 70.3% reported experiencing financial hardship; debt (57.6%), lost income (44.5%), and unmet expenses (33.7%) were most common. American Indian/Alaska Native (adjusted prevalence ratio [aPR]=1.19, 95% confidence interval [CI]=1.04 to 1.35), Black/African American (aPR=1.18, 95% CI=1.06 to 1.32), Latino (English-speaking: aPR=1.15, 95% CI=1.01 to 1.31; Spanish-speaking: aPR=1.27, 95% CI=1.12 to 1.45), and Native Hawaiian/Pacific Islander (aPR=1.21, 95% CI=1.06 to 1.38) adults were more likely to experience financial hardship, compared with White adults. American Indian/Alaska Native, Black/African American, Spanish-speaking Latino, and Native Hawaiian/Pacific Islander adults were also more likely to report hardship in almost all hardship domains (e.g., housing insecurity: aPRs=1.37–1.91).
Conclusions: Racial/ethnic minorities were more likely to experience financial hardship during the pandemic. The prevalence of lost income was similar across most racial/ethnic groups, suggesting that preexisting wealth disparities led to some groups being less able to handle the economic shocks caused by the COVID-19 pandemic. Financial hardship may be underestimated for communities without English or Spanish fluency. Without intervention, financial hardship will likely exacerbate wealth disparities in the United States.
... For example, Hick and Lanau (2018), using data from the longitudinal survey Understanding Society from 2010-14, showed that the probability of entering in-work income poverty increases for those with an education level below a first degree. Considering ethnicity/race, Iceland and Sakamoto (2022) showed that while the poverty/hardship gap between ethnicities narrowed over 27 years, there still are significant racial disparities. In terms of household structure, a recent econometric analysis by Antonelli and De Bonis (2021) of the Eurostat data showed that as the number of non-traditional families (i.e., extended families, single parents) increases, so does the poverty rate. ...
Child disability and provision of unpaid care by parents may contribute to a family’s poverty status. In this paper, using data from the Family Resources Survey-2018/19, a sample of 5451 families with dependent children was analysed. Sub-samples were created based on the groups of interest: child disability vs no child disability within the family and unpaid care vs no unpaid care for children with disabilities. Logistic regression models show sociodemographic factors have similar effects on children’s material deprivation and after housing costs poverty across all groups. In contrast, having children with no disability has higher odds of after housing costs poverty.
... Contributions to the increasing health inequalities and hardship seen in underserved vulnerable communities are primarily due to policy gaps and the lack of an equity perspective in the design and implementation of these practices [39,44]. Increasing the awareness that the current policies in place are not effective and have failed to such support programs, can be strengthened, and tailored to aiding underserved communities [45]. ...
Background
Vulnerable communities are susceptible to and disproportionately affected by the impacts of the COVID-19 pandemic. Understanding the challenges faced, perceptions, lessons learned, and recommendations of the organizations that provide services in response to COVID-19 to vulnerable communities is critical to improving emergency response and preparedness in these communities.
Methods
This study employed GIS mapping to identify the needs and assets that exist in communities in Baltimore City, where vulnerabilities related to social determinants of health and the burden of the COVID-19 pandemic were greatest. We also conducted an online survey between September 1, 2021, and May 30, 2022, to assess the COVID-19-related services provided by local organizations, challenges faced, perceptions, lessons learned, and recommendations to inform policies, programs, and funding related to improving the COVID-19 response in underserved communities. The survey was disseminated through the online Kobo Toolbox platform to leaders and representatives of organizations in Baltimore City.
Results
Based on GIS mapping analysis, we identified three communities as the most vulnerable and 522 organizations involved in the COVID-19 response across Baltimore City. 247 surveys were disseminated, and 50 survey responses were received (20.24% response rate). Out of these organizations, nearly 80% provided services in response to COVID-19 to the identified vulnerable communities. Challenges experienced ranged from funding (29%), and outreach/recruitment (26%), to not having access to updated and accurate information from local officials (32%).
Conclusions
This research highlights critical insights gained related to the experiences of vulnerable populations and suggests ways forward to address challenges faced during the emergency response by providing recommendations for policy and program changes. Furthermore, the findings will help better prepare vulnerable communities for public health emergencies and build more community resilience.
... Geospatial patterning reveals that adversity is more prevalent in communities with high disinvestment and featuring larger Black populations. This finding is consistent with other research that suggests that hardship and distress are not evenly distributed across racial groups (Iceland & Sakamoto, 2022 ...
This dissertation examines the role of adverse community environments in explaining individual-level adverse outcomes and social inequality. Specifically, it examines “How do adverse community environments contribute to the incidence of childhood adversity?” Through three related studies, this work contributes empirical evidence that can assist policymakers in designing more effective interventions to mitigate childhood adversity.
Research, policy, and practice have emphasized changing parental behavior to minimize the effects of childhood adversity. However, critics of this parent behavior-focused approach claim these efforts contribute to a public narrative that centers family deficiencies as responsible for childhood adversity. This narrative oversimplifies toxic stress processes while obscuring broader social inequities that combine to overload families. This is especially important when understanding racial and economic disparities in rates of childhood adversity because poor, Black, Indigenous and Hispanic/Latino families are more likely to live in distressed communities.
An alternative narrative is established through introducing the Community Adversity Index. This tool defines and quantifies community-level adversity and is used to demonstrate that community adversity is a strong predictor of family separation via foster care placement. Chapter 1 describes the three studies and concluding policy implications that form this dissertation. Chapter 2 establishes the theoretical support for a composite measure of community-level adversity and proposes data sources and indicators to calculate the index. The resulting single metric is then used to rank communities and describe how adversity is geographically distributed. Subindices are also used to determine how adversity is bundled or typically grouped in urban communities. Chapter 3 uses five criteria featuring statistical, validity, and sensitivity tests to establish the reliability of the index as a tool for directing policy efforts. Chapter 4 uses regression analysis to establish that measures of community adversity predict family separations. Findings suggest that reducing community-level adversity could reduce family separations in general, as well as for White, Black, and Hispanic/Latino populations specifically. The dissertation concludes with a final chapter summarizing how the index can be useful for influencing policy.
Children's early experiences have potential to shape their development through early childhood, middle childhood, and into adolescence. Family structure at birth and material hardship may offer insight into how children's health and well‐being are shaped within their family of origin. The current paper examined (a) the association between family structure at birth and material hardship 1‐year post‐birth and (b) the differential impact of race on the associations between family structure and material hardship. We further explored the association between family structure and material hardship on self‐reported health in (a) middle childhood and (b) adolescence. Using the Future of Families and Child Wellbeing dataset, an ordinary least squares (OLS) regressions and structural equation path models (SEM) were used to examine associations between family structure, material hardship, and health outcomes (body mass index [BMI], anxiety, and suicidal ideation). Results indicated that family structure predicted material hardship at 1‐year until maternal characteristics were taken into account. Race/ethnicity did not moderate the association. Also, family structure at birth was indirectly associated with youth anxiety through material hardship but did not account for BMI or sucidical ideation. Social supports and state policies should prioritize maternal health access and ensure families are able to meet their basic needs to mitigate children's health risks.
