Racial and ethnic disparities in the association between financial hardship and self-reported weight change during the first year of the pandemic in the U.S.

Studies have shown that financial hardship can impact weight change; however, it is unclear what the economic impact of the COVID-19 pandemic has had on weight change in U.S. adults, or whether racial-ethnic groups were impacted differentially. We estimated the association between financial hardship and self-reported weight change using data from the cross-sectional COVID-19's Unequal Racial Burden (CURB) survey, a nationally representative online survey of 5,500 American Indian/Alaska Native, Asian, Black/African American, Latino (English- and Spanish-speaking), Native Hawaiian/Pacific Islander, White, and multiracial adults conducted from 12/2020 to 2/2021. Financial hardship was measured over six domains (lost income, debt, unmet general expenses, unmet healthcare expenses, housing insecurity, and food insecurity). The association between each financial hardship domain and self-reported 3-level weight change variable were estimated using multinomial logistic regression, adjusting for sociodemographic and self-reported health. After adjustment, food insecurity was strongly associated with weight loss among American Indian/Alaska Native (aOR = 2.18, 95% CI = 1.05-4.77), Black/African American (aOR = 1.77, 95% CI = 1.02-3.11), and Spanish-speaking Latino adults (aOR = 2.32, 95% CI = 1.01-5.35). Unmet healthcare expenses were also strongly associated with weight loss among Black/African American, English-speaking Latino, Spanish-speaking Latino, and Native Hawaiian/Pacific Islander adults (aORs = 2.00-2.14). Other domains were associated with weight loss and/or weight gain, but associations were not as strong and less consistent across race-ethnicity. In conclusion, food insecurity and unmet healthcare expenses during the pandemic were strongly associated with weight loss among racial-ethnic minority groups. Using multi-dimensional measures of financial hardship provides a comprehensive assessment of the effects of specific financial hardship domains on weight change among diverse racial-ethnic groups.

Research Priorities for Interventions to Address Health Disparities in Lung Nodule Management: An Official American Thoracic Society Research Statement.

Background: Lung nodules are common incidental findings, and timely evaluation is critical to ensure diagnosis of localized-stage and potentially curable lung cancers. Rates of guideline-concordant lung nodule evaluation are low, and the risk of delayed evaluation is higher for minoritized groups. Objectives: To summarize the existing evidence, identify knowledge gaps, and prioritize research questions related to interventions to reduce disparities in lung nodule evaluation. Methods: A multidisciplinary committee was convened to review the evidence and identify key knowledge gaps in four domains: 1) research methodology, 2) patient-level interventions, 3) clinician-level interventions, and 4) health system-level interventions. A modified Delphi approach was used to identify research priorities. Results: Key knowledge gaps included 1) a lack of standardized approaches to identify factors associated with lung nodule management disparities, 2) limited data evaluating the role of social determinants of health on disparities in lung nodule management, 3) a lack of certainty regarding the optimal strategy to improve patient-clinician communication and information transmission and/or retention, and 4) a paucity of information on the impact of patient navigators and culturally trained multidisciplinary teams. Conclusions: This statement outlines a research agenda intended to stimulate high-impact studies of interventions to mitigate disparities in lung nodule evaluation. Research questions were prioritized around the following domains: 1) need for methodologic guidelines for conducting research related to disparities in nodule management, 2) evaluating how social determinants of health influence lung nodule evaluation, 3) studying approaches to improve patient-clinician communication, and 4) evaluating the utility of patient navigators and culturally enriched multidisciplinary teams to reduce disparities.

Prevention Science for Reducing Health Disparities.

This article is a commentary on the publication titled, Strategic Directions in Prevention Intervention Research to Advance Health Equity, by R. C. Boyd et al.

The Economic Burden of Racial, Ethnic, and Educational Health Inequities in the US.

Importance: Health inequities exist for racial and ethnic minorities and persons with lower educational attainment due to differential exposure to economic, social, structural, and environmental health risks and limited access to health care. Objective: To estimate the economic burden of health inequities for racial and ethnic minority populations (American Indian and Alaska Native, Asian, Black, Latino, and Native Hawaiian and Other Pacific Islander) and adults 25 years and older with less than a 4-year college degree in the US. Outcomes include the sum of excess medical care expenditures, lost labor market productivity, and the value of excess premature death (younger than 78 years) by race and ethnicity and the highest level of educational attainment compared with health equity goals. Evidence Review: Analysis of 2016-2019 data from the Medical Expenditure Panel Survey (MEPS) and state-level Behavioral Risk Factor Surveillance System (BRFSS) and 2016-2018 mortality data from the National Vital Statistics System and 2018 IPUMS American Community Survey. There were 87 855 survey respondents to MEPS, 1 792 023 survey respondents to the BRFSS, and 8 416 203 death records from the National Vital Statistics System. Findings: In 2018, the estimated economic burden of racial and ethnic health inequities was $421 billion (using MEPS) or $451 billion (using BRFSS data) and the estimated burden of education-related health inequities was $940 billion (using MEPS) or $978 billion (using BRFSS). Most of the economic burden was attributable to the poor health of the Black population; however, the burden attributable to American Indian or Alaska Native and Native Hawaiian or Other Pacific Islander populations was disproportionately greater than their share of the population. Most of the education-related economic burden was incurred by adults with a high school diploma or General Educational Development equivalency credential. However, adults with less than a high school diploma accounted for a disproportionate share of the burden. Although they make up only 9% of the population, they bore 26% of the costs. Conclusions and Relevance: The economic burden of racial and ethnic and educational health inequities is unacceptably high. Federal, state, and local policy makers should continue to invest resources to develop research, policies, and practices to eliminate health inequities in the US.

Perceived neighborhood factors, health behaviors, and related outcomes in the Hispanic Community Health Study/Study of Latinos.

Hispanic/Latino populations may experience significant neighborhood disadvantage, but limited research has explored whether these factors affect their health behaviors. Associations between perceived neighborhood factors at Visit 1 and health behaviors and related outcomes at Visit 2 in the Hispanic Community Health Study/Study of Latinos were evaluated. Multivariable logistic regression assessed cross-sectional and longitudinal relationships between perceived neighborhood social cohesion (NSC, 5 items), and neighborhood problems (NP, 7 items), with cancer screening, current smoking, excessive/binge drinking, hypertension, obesity, physical activity, and poor diet by gender and birthplace. NSC and NP scores were converted into quartiles. Mean age of participants was 42.5 years and 62.1% were women. Perceived NP, but not perceived NSC, differed by gender (p < 0.001). In unstratified models, no significant associations were observed between perceived NSC and any health behavior, whereas greater perceived NP was associated with less adherence to colon cancer screening (moderate level: aOR = 0.68, 95% CI = 0.51, 090) and more physical activity (very high level: aOR = 1.34, 95% CI = 1.06, 1.69) compared to low perceived NP. Women with moderate perceived NP, versus low NP, had a lower odds of colon cancer screening at Visit 1 (aOR = 0.62, 95% CI = 0.43, 0.91) and higher odds of mammogram adherence at Visit 2 (aOR = 2.86, 95% CI = 1.44, 5.68). Men with high perceived NP had a higher odds of excessive or binge drinking at Visit 2 (aOR = 1.99, 95% CI = 1.19, 3.31). We conclude that perceived NP were significantly related to health behaviors among HCHS/SOL individuals. Perceptions of neighborhood environment may be considered modifiable factors of structural neighborhood environment interventions.

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.

COVID-19 Health Disparities and Adverse Social Determinants of Health.

Racial and ethnic disparities in healthcare and health outcomes are longstanding. The real-time emergence of COVID-19 disparities has heightened the public and scientific discourse about structural inequities contributing to the greater risk of morbidity and mortality among racial and ethnic minority populations and other underserved groups. A key aspect of assuring health equity is addressing social determinants that lead to adverse health outcomes among minoritized groups. This article presents an exploratory social determinants of health (SDOH) conceptual framework for understanding racial and ethnic COVID-19 disparities, including factors related to health and healthcare, socioeconomics, and environmental determinants. The model also illustrates the backdrop of structural racism and discrimination, which directly affect health and COVID-19 exposure risk, and thus transmission, infection, and death. We also describe a special SDOH collection in the PhenX Toolkit (consensus measures for Phenotypes and eXposures), which includes established measures to promote standardization of assessment and the use of common data elements in research contexts. The use of common constructs, measures, and data elements are important for data integration, understanding the causes of health disparities, and evaluating interventions to reduce them. Substandard SDOH are among the primary drivers of health disparities-and scientific approaches to address these key concerns require identification and leveled alignment with the root causes. The overarching goal of this discussion is to broaden the consideration of mechanisms by which populations with health disparities face additional SARS-CoV-2 exposure risks, and to encourage research to develop interventions to reduce SDOH-associated disparities in COVID-19 and other conditions and behaviors.

Cancer health disparities in racial/ethnic minorities in the United States.

There are well-established disparities in cancer incidence and outcomes by race/ethnicity that result from the interplay between structural, socioeconomic, socio-environmental, behavioural and biological factors. However, large research studies designed to investigate factors contributing to cancer aetiology and progression have mainly focused on populations of European origin. The limitations in clinicopathological and genetic data, as well as the reduced availability of biospecimens from diverse populations, contribute to the knowledge gap and have the potential to widen cancer health disparities. In this review, we summarise reported disparities and associated factors in the United States of America (USA) for the most common cancers (breast, prostate, lung and colon), and for a subset of other cancers that highlight the complexity of disparities (gastric, liver, pancreas and leukaemia). We focus on populations commonly identified and referred to as racial/ethnic minorities in the USA-African Americans/Blacks, American Indians and Alaska Natives, Asians, Native Hawaiians/other Pacific Islanders and Hispanics/Latinos. We conclude that even though substantial progress has been made in understanding the factors underlying cancer health disparities, marked inequities persist. Additional efforts are needed to include participants from diverse populations in the research of cancer aetiology, biology and treatment. Furthermore, to eliminate cancer health disparities, it will be necessary to facilitate access to, and utilisation of, health services to all individuals, and to address structural inequities, including racism, that disproportionally affect racial/ethnic minorities in the USA.

No Populations Left Behind: Vaccine Hesitancy and Equitable Diffusion of Effective COVID-19 Vaccines.

Racial/ethnic minority communities are experiencing an undue burden from coronavirus disease 2019 (COVID-19), and the availability of Food and Drug Administration (FDA) authorized vaccines is critical for improving population health. National surveys assessing vaccination willingness and reports of vaccination administration by race/ethnicity indicate at least two areas that warrant attention: elevated vaccine hesitancy among African American and Latino adults, and the need to ensure equitable access to vaccination. COVID-19 vaccine hesitancy is not uniform within racial/ethnic minority populations; yet, given the disproportionate impact, understandable distrust, and widespread misinformation, there is an imperative to overcome challenges associated with vaccination willingness and uptake, as well as implementation and access. This Perspective discusses the complexity of drivers for each of these areas, which include individual, community, and structural factors. It also highlights two initiatives at the National Institutes of Health. One is focused on addressing misinformation and distrust through academic-community partnerships, and the other on community-engaged behavioral interventions to address the population-specific reasons for COVID-19 vaccine hesitancy, support informed decision-making, and promote equitable access among populations with health disparities. For the foreseeable future, proactive and persistent efforts around COVID-19 mitigation strategies, including vaccination, will remain of paramount importance for health equity.

Longitudinal Association Between Smoking Abstinence and Depression Severity in Those With Baseline Current, Past, and No History of Major Depressive Episode in an International Online Tobacco Cessation Study.

INTRODUCTION: We use multilevel modeling to parse out the effects of time-varying smoking abstinence and baseline depression (history and severity) on depression severity over 1 year. AIMS AND METHODS: Participants were 1000 smokers recruited worldwide for an online randomized controlled tobacco cessation trial. We examined whether changes in depression severity over time were associated with self-reported 7-day point prevalence smoking status assessed at 1-, 3-, 6-, and 12-month follow-up (FU) using baseline major depressive episode (MDE) history and baseline depression severity as time-invariant covariates. We present depression severity means and smoking abstinence at each FU. RESULTS: Regardless of concurrent abstinence status, baseline MDE history was significantly related to depression severity over time: those reporting a past MDE had worse depressive symptoms over time compared with those reporting no MDE history. Baseline depression severity interacted significantly with time-varying abstinence status: for every 1-unit increase in baseline scores on the Center for Epidemiological Studies-Depression Scale (CES-D), individuals who were smoking at FU reported CES-D scores that were 0.17 points higher than those who were abstinent. In this context, nicotine dependence, gender, age, or marital status did not affect depression severity. CONCLUSIONS: In the context of cessation, having an MDE history plays a significant role in the trajectory of depression severity over the course of 1 year, regardless of abstinence status. Abstinence is related to lower depressive symptoms at each FU, and this effect was stronger at higher levels of baseline depression severity. IMPLICATIONS: This study indicates that depressive symptoms are not exacerbated among individuals who are quitting smoking at 1-, 3-, 6-, and 12-month FUs. Depression severity is worse with a baseline history of MDE. Further, those with high baseline depression severity who continue smoking have worse depressive symptoms throughout a 1-year period compared with their abstinent counterparts.

Socioeconomic and racial/ethnic disparities in postpartum consultation for mental health concerns among US mothers.

Limited research has examined factors that impact access to postpartum mental healthcare. We investigated the predisposing, enabling, and need factors associated with postpartum consultation for mental health concerns in US mothers with or without depressive symptoms and examined potential disparities in access. We utilized cross-sectional data from the Listening to Mothers II Survey, the second national US survey of women's childbearing experiences. The survey recruited 1573 women, aged 18-45 years, who spoke English and had given birth. Depressive symptoms were measured with the Postpartum Depression Screening Scale (PDSS-SF). The dependent variable was postpartum consultation for mental health concerns. Logistic regression analyses showed that mothers with scores of 14-21 and 22-35 on the PDSS-SF had higher odds of consulting a provider for mental health concerns (OR 3.97; OR 12.91). Latinas had lower odds of seeking mental health consultations than Whites (OR 0.39). Mothers who were employed prenatally full-time or part-time had lower odds of seeking consultations than non-employed mothers (OR 0.62; OR 0.52). Mothers with household incomes of $50,000-$74,999 had higher odds of seeking consultations than those with incomes less than $25,000 (OR 2.20). When regression analyses were restricted to mothers with PDSS-SF scores ≥ 14, findings were similar by race/ethnicity and prenatal employment. Significant depressive symptoms are common in women after giving birth and few sought any form of mental health consultation. Latinas and low-income women are less likely to seek postpartum mental health consultations. Mental health care interventions could be geared towards targeting these at-risk groups.

Reducing Cardiovascular Disparities Through Community-Engaged Implementation Research: A National Heart, Lung, and Blood Institute Workshop Report.

Cardiovascular disparities remain pervasive in the United States. Unequal disease burden is evident among population groups based on sex, race, ethnicity, socioeconomic status, educational attainment, nativity, or geography. Despite the significant declines in cardiovascular disease mortality rates in all demographic groups during the last 50 years, large disparities remain by sex, race, ethnicity, and geography. Recent data from modeling studies, linked micromap plots, and small-area analyses also demonstrate prominent variation in cardiovascular disease mortality rates across states and counties, with an especially high disease burden in the southeastern United States and Appalachia. Despite these continued disparities, few large-scale intervention studies have been conducted in these high-burden populations to examine the feasibility of reducing or eliminating cardiovascular disparities. To address this challenge, on June 22 and 23, 2017, the National Heart, Lung, and Blood Institute convened experts from a broad range of biomedical, behavioral, environmental, implementation, and social science backgrounds to summarize the current state of knowledge of cardiovascular disease disparities and propose intervention strategies aligned with the National Heart, Lung, and Blood Institute mission. This report presents the themes, challenges, opportunities, available resources, and recommended actions discussed at the workshop.

Youth working in tobacco farming: effects on smoking behavior and association with health status.

BACKGROUND: Cultivation of tobacco raises concerns about detrimental health and social consequences for youth, but tobacco producing countries only highlight economic benefits. We compared sociodemographic and health-related characteristics of school-age youth who worked and did not work in tobacco farming and assessed the effects on smoking behavior and health at 1 year. METHODS: We used existing data collected in the province of Jujuy, Argentina where 3188 youth 13 to 17 years of age from a random middle school sample responded to longitudinal questionnaires in 2005 and 2006. Multivariate logistic regression models predicted association of tobacco farming work with health status and smoking behavior at 1 year. RESULTS: 22.8% of youth in the tobacco growing areas of the province were involved in tobacco farming. The mean age of initiation to tobacco farming was 12.6 years. Youth working in farming had higher rates of fair or poor versus good or excellent self-perceived health (30.3% vs. 19.0%), having a serious injury (48.5% vs. 38.5%), being injured accidentally by someone else (7.5% vs. 4.6%), being assaulted (5.5% vs. 2.6%), and being poisoned by exposure to chemicals (2.5% vs. 0.7%). Youth working in tobacco farming also had higher prevalence of ever (67.9% vs. 55.2%), current (48.0% vs. 32.6%) and established smoking (17.8% vs. 9.9%). In multivariate logistic regression models tobacco farming in 2005 was associated with significant increased reporting of serious injury (OR = 1.4; 95%CI 1.1-2.0), accidental injury by someone else (OR = 1.5; 95% 1.0-2.1), assault (OR = 2.2; 95% CI 1.3-3.8), and poisoning by exposure to chemicals (OR = 2.5; 95% CI 1.2-5.4). Tobacco farming in 2005 predicted established smoking 1 year later (OR = 1.5; 95% CI 1.1-2.0). CONCLUSION: Youth who work in tobacco faming face a challenging burden of adversities that increase their vulnerability. Risk assessments should guide public policies to protect underage youth working in tobacco farming. (298 words).

Allostatic Load: Importance, Markers, and Score Determination in Minority and Disparity Populations.

Allostatic load is a physiological measure of the cumulative burden of stress on the body assessed by markers of physiological dysregulation. It is a multisystem construct that quantifies biological risk which leads to poor health and maladaptive trajectories. In this overview, which is based on a presentation made at the Flip the Script: Understanding African American Women's Resilience in the Face of Allostatic Load meeting at Ohio State University in August 2018, we build upon previous reviews by discussing four key aspects of allostatic load, specifically its: (1) importance, (2) operationalization, (3) use in minority health and health disparities research, and (4) value in such research. Operationalized in various ways, allostatic load is composed of 10 original markers and additional markers deriving from research among minority and disparity populations. The markers represent four biological systems: (1) cardiovascular, (2) metabolic, (3) inflammatory, and (4) neuroendocrine. System-specific racial/ethnic and sex-based differences have been observed. An overall score can be determined using sample-generated or empirically derived clinically relevant cut points. In summary, allostatic load provides an overall and a body system-specific mechanistic link between exposures to stressors and health outcomes that may help explain health disparities among minority populations.