Age-related differences in the association between financial hardship and weight change during the COVID-19 pandemic.

Objective: To examine the association of financial hardship with weight changes in the US during the COVID-19 pandemic. Methods: We used data from the COVID-19's Unequal Racial Burden survey, a nationally representative, cross-sectional, online survey of diverse adults living in the US, 12/2020-2/2021. This study included 1000 Asian, Black, Latino (half Spanish-speaking), and White adults and 500 American Indian or Alaska Native, Native Hawaiian or Pacific Islander, and multiracial adults (5500 total). Age-specific (18-39, 40-59, ≥60) associations between financial hardship domains and weight change were estimated using multinomial logistic regression, adjusted for demographic and health characteristics. Results: Financial hardship during the COVID-19 pandemic was prevalent across all age groups (18-39: 76.2 %; 40-59: 75.6 %; ≥60: 50.6 %). Among adults aged 18-39 and ≥ 60 years old, food insecurity was significantly associated with weight loss (18-39: aOR = 1.42, 95 % CI = 1.04, 1.95; ≥60: aOR = 3.67, 95 % CI = 1.50, 8.98). Among all age groups, unmet healthcare expenses was also associated with weight loss (18-39: aOR = 1.31, 95 % CI = 1.01, 1.70; 40-59: aOR = 1.49, 95 % CI = 1.06, 2.08; ≥60: aOR = 1.73, 95 % CI = 1.03, 2.91). Among adults aged 18-39 and ≥ 60 years old, lost income was significantly associated with weight gain (18-39: aOR = 1.36, 95 % CI = 1.09-1.69; ≥60: aOR = 1.46, 95 % CI = 1.04, 2.06), and among adults 40-59 years old, experiencing increased debt was significantly associated with weight gain (aOR = 1.50, 95 % CI = 1.13, 1.99). Conclusions: For those aged 18-39 and ≥ 60 years old experiencing financial hardship during the COVID-19 pandemic was associated with both weight loss and weight gain. Less correlation was observed among adults aged 40-59.

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.

Positive and negative aspects of the COVID-19 pandemic among a diverse sample of US adults: an exploratory mixed-methods analysis of online survey data.

BACKGROUND: The COVID-19 pandemic had a profound social and economic impact across the United States due to the lockdowns and consequent changes to everyday activities in social spaces. METHODS: The COVID-19's Unequal Racial Burden (CURB) survey was 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 living in the U.S. For this analysis, we used data from the 1,931 participants who responded to the 6-month follow-up survey conducted between 8/16/2021-9/9/2021. As part of the follow-up survey, participants were asked "What was the worst thing about the pandemic that you experienced?" and "Was there anything positive in your life that resulted from the pandemic?" Verbatim responses were coded independently by two coders using open and axial coding techniques to identify salient themes, definitions of themes, and illustrative quotes, with reconciliation across coders. Chi-square tests were used to estimate the association between sociodemographics and salient themes. RESULTS: Commonly reported negative themes among participants reflected disrupted lifestyle/routine (27.4%), not seeing family and friends (9.8%), and negative economic impacts (10.0%). Positive themes included improved relationships (16.9%), improved financial situation (10.1%), and positive employment changes (9.8%). Differences in themes were seen across race-ethnicity, gender, and age; for example, adults ≥ 65 years old, compared to adults 18-64, were more likely to report disrupted routine/lifestyle (37.6% vs. 24.2%, p < 0.001) as a negative aspect of the pandemic, and Spanish-speaking Latino adults were much more likely to report improved relationships compared to other racial-ethnic groups (31.1% vs. 14.8-18.6%, p = 0.03). DISCUSSION: Positive and negative experiences during the COVID-19 pandemic varied widely and differed across race-ethnicity, gender, and age. Future public health interventions should work to mitigate negative social and economic impacts and facilitate posttraumatic growth associated with pandemics.

Opportunities, challenges, and future directions for simulation modeling the effects of structural racism on cancer mortality in the United States: a scoping review.

PURPOSE: Structural racism could contribute to racial and ethnic disparities in cancer mortality via its broad effects on housing, economic opportunities, and health care. However, there has been limited focus on incorporating structural racism into simulation models designed to identify practice and policy strategies to support health equity. We reviewed studies evaluating structural racism and cancer mortality disparities to highlight opportunities, challenges, and future directions to capture this broad concept in simulation modeling research. METHODS: We used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses-Scoping Review Extension guidelines. Articles published between 2018 and 2023 were searched including terms related to race, ethnicity, cancer-specific and all-cause mortality, and structural racism. We included studies evaluating the effects of structural racism on racial and ethnic disparities in cancer mortality in the United States. RESULTS: A total of 8345 articles were identified, and 183 articles were included. Studies used different measures, data sources, and methods. For example, in 20 studies, racial residential segregation, one component of structural racism, was measured by indices of dissimilarity, concentration at the extremes, redlining, or isolation. Data sources included cancer registries, claims, or institutional data linked to area-level metrics from the US census or historical mortgage data. Segregation was associated with worse survival. Nine studies were location specific, and the segregation measures were developed for Black, Hispanic, and White residents. CONCLUSIONS: A range of measures and data sources are available to capture the effects of structural racism. We provide a set of recommendations for best practices for modelers to consider when incorporating the effects of structural racism into simulation models.

Telehealth access, willingness, and barriers during the COVID-19 pandemic among a nationally representative diverse sample of U.S. adults with and without chronic health conditions.

INTRODUCTION: During the COVID-19 pandemic, telehealth services represented a critical tool in maintaining continuity and access to care for adults in the USA. However, despite improvements in access and utilization during the pandemic, disparities in telehealth utilization have persisted. It is unclear what role access and willingness to use telehealth play in telehealth disparities. METHODS: We used data from the nationally representative COVID-19's Unequal Racial Burden (CURB) survey, an online survey conducted between December 2020 and February 2021, n = 5500. Multivariable Poisson regression was used to estimate the prevalence of perceived telehealth access and willingness to use telehealth services among adults with and without chronic conditions. RESULTS: Overall, 60.1% of adults with and 38.7% of adults without chronic conditions reported having access to telehealth. After adjustment, adults with chronic conditions were more likely to report telehealth access (adjusted prevalence ratio [aPR] = 1.35, 95% confidence interval [CI] = 1.21-1.50). Most adults with and without chronic conditions reported being willing to use telehealth services (85.1% and 79.8%, respectively), and no significant differences in willingness were observed across chronic condition status (aPR = 1.03, 95% CI = 0.95-1.13). Perceived telehealth access appeared to be a predictor of telehealth willingness in both groups (chronic conditions: aPR = 1.22, 95% CI = 0.97-1.54; no chronic conditions: aPR = 1.37, 95% CI = 1.22-1.54). The prevalence of perceived barriers to telehealth was low, with the majority reporting no barriers (chronic conditions = 51.4%; no chronic conditions = 61.4%). DISCUSSION: Perceived access to telehealth was associated with telehealth willingness. Investing in approaches that increase telehealth accessibility and awareness is needed to improve access to telehealth for adults with and without chronic conditions.

Inability to get needed health care during the COVID-19 pandemic among a nationally representative, diverse population of U.S. adults with and without chronic conditions.

BACKGROUND: Delays in health care have been observed in the U.S. during the COVID-19 pandemic; however, the prevalence of inability to get needed care and potential disparities in health care access have yet to be assessed. METHODS: We conducted 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 between 12/2020-2/2021 (baseline) and 8/16/2021-9/9/2021 (6-month follow-up). Participants were asked "Since the start of the pandemic, was there any time when you did not get medical care that you needed?" Those who responded "Yes" were asked about the type of care and the reason for not receiving care. Poisson regression was used to estimate the association between sociodemographics and inability to receive needed care; all analyses were stratified by chronic condition status. Chronic conditions included: chronic obstructive pulmonary disease (COPD), heart conditions, type 2 diabetes, chronic kidney disease or on dialysis, sickle cell disease, cancer, and immunocompromised state (weakened immune system). RESULTS: Overall, 20.0% of participants at baseline and 22.7% at follow-up reported not getting needed care. The most common reasons for being unable to get needed care included fear of COVID-19 (baseline: 44.1%; follow-up: 47.2%) and doctors canceled appointment (baseline: 25.3%; follow-up: 14.1%). Routine care (baseline: 59.9%; follow-up: 62.6%) and chronic care management (baseline: 31.5%; follow-up: 30.1%) were the most often reported types of delayed care. Fair/poor self-reported physical health was significantly associated with being unable to get needed care despite chronic condition status (≥ 1 chronic condition: aPR = 1.36, 95%CI = 1.04-1.78); no chronic conditions: aPR = 1.52, 95% CI = 1.28-1.80). The likelihood of inability to get needed care differed in some instances by race/ethnicity, age, and insurance status. For example, uninsured adults were more likely to not get needed care (≥ 1 chronic condition: aPR = 1.76, 95%CI = 1.17-2.66); no chronic conditions: aPR = 1.25, 95% CI = 1.00-1.56). CONCLUSIONS: Overall, about one fifth of participants reported being unable to receive needed care at baseline and follow-up. Delays in receiving needed medical care may exacerbate existing conditions and perpetuate existing health disparities among vulnerable populations who were more likely to have not received needed health care during the pandemic.

Racial/Ethnic Disparities in Financial Hardship During the First Year of the Pandemic.

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.

Financial Hardship and Psychological Distress During the Pandemic: A Nationally Representative Survey of Major Racial-Ethnic Groups in the United States.

Introduction: While financial hardship has been consistently linked to psychological distress, little research exists on associations between financial hardship experienced during the pandemic and mental health. Methods: We conducted a nationally representative, online survey of American Indian/Alaska Native, Asian, Black/African American, Latino (English and Spanish speaking), Native Hawaiian/Pacific Islander, White, and multiracial adults, 12/2020-2/2021 (n=5500). Six financial hardship domains were measured (lost income, debt, unmet expenses, unmet health care expenses, housing insecurity, and food insecurity). Psychological distress measures included anxiety-depression symptoms (Patient Health Questionnaire-4), perceived stress (modified Perceived Stress Scale), and loneliness-isolation ("In the past month, how often have you felt lonely and isolated?"). Associations between financial hardship and psychological distress were estimated using multinomial logistic regression. Results: Overall, 70.3% of participants reported experiencing financial hardship (substantial hardship: 21.3%; some hardship: 27.4%; and a little hardship: 21.6%), with Spanish-speaking Latino (87.3%) and Native Hawaiian/Pacific Islander (79.2%) adults being most likely. Debt (57.6%), lost income (44.5%), and unmet expenses (33.7%) were the most common. There was a dose-response association between financial hardship and moderate/severe anxiety-depression symptoms (a little hardship: adjusted odds ratio [aOR]=1.42, 95% confidence interval [CI]=1.12-1.80; some hardship: aOR=3.21, 95% CI=2.58-3.98; and substantial hardship: aOR=8.15, 95% CI=6.45-10.29). Similar dose-response trends were observed with perceived stress and loneliness-isolation. No racial-ethnic difference in the association between financial hardship during the pandemic and psychological distress was seen. Discussion: Financial hardship has had a major impact on psychological distress during the pandemic; moreover, while no racial-ethnic difference in the effect of financial hardship was observed, because racial-ethnic minorities experienced greater hardship, financial hardship may exacerbate psychological distress disparities.

Depression Symptoms, Perceived Stress, and Loneliness During the COVID-19 Pandemic Among Diverse US Racial-Ethnic Groups.

Introduction: Studies have reported increases in psychological distress during the COVID-19 pandemic. This study aimed to estimate associations between race-ethnicity and psychological distress during the COVID-19 pandemic among nationally representative samples of all major racial-ethnic groups in the United States. Methods: We conducted a nationally representative cross-sectional survey between December 2020 and February 2021 of Asian, black/African American, Latino (English and Spanish speaking), American Indian/Alaska Native, Native Hawaiian/Pacific Islander, white, and multiracial adults (n=5500). Distress measures included: anxiety-depression (Patient Health Questionnaire-4 [PHQ-4]), stress (modified Perceived Stress Scale), and loneliness-isolation (frequency felt lonely and isolated). Multinomial logistic regression models estimated associations between race-ethnicity and psychological distress, adjusting for demographic and health characteristics. Results: Overall, 23.7% reported moderate/severe anxiety-depression symptoms, 34.3% reported moderate/severe stress, and 21.3% reported feeling lonely-isolated fairly/very often. Compared with white adults and adjusting for covariates, the prevalence of moderate/severe anxiety-depression was significantly lower among Asian (adjusted odds ratio [aOR]=0.44, 95% confidence interval [CI]=0.34-0.58), black (aOR=0.49, 95% CI=0.38-0.63), English-speaking Latino (aOR=0.62, 95% CI=0.45-0.85), Spanish-speaking Latino (aOR=0.31, 95% CI=0.22-0.44), and Native Hawaiian/Pacific Islander (aOR=0.66, 95% CI=0.49-0.90) adults. Similar trends were seen for moderate/severe stress and feeling lonely-isolated fairly/very often. Worse distress profiles of American Indian/Alaska Native and multiracial adults were attenuated after adjustment. Conclusions: Minoritized groups tended to have less distress than white adults. Collective experiences of cumulative disadvantage could engender shared resiliency/normalization among these groups.

Race/ethnicity-specific associations between breastfeeding information source and breastfeeding rates among U.S. women.

BACKGROUND: Despite evidence of the impact of breastfeeding information on breastfeeding rates, it is unknown if information sources and impact vary by race/ethnicity, thus this study assessed race/ethnicity-specific associations between breastfeeding information sources and breastfeeding. METHODS: We used data from the 2016-2019 Pregnancy Risk Assessment Monitoring System. Race/ethnicity-stratified multinomial logistic regression was used to estimate associations between information source (e.g., family/friends) and breastfeeding rates (0 weeks/none, < 10 weeks, or ≥ 10 weeks; < 10 weeks and ≥ 10 weeks = any breastfeeding). All analyses were weighted to be nationally representative. RESULTS: Among 5,945,018 women (weighted), 88% reported initiating breastfeeding (≥ 10 weeks = 70%). Information from family/friends (< 10 weeks: aORs = 1.58-2.14; ≥ 10 weeks: aORs = 1.63-2.64) and breastfeeding support groups (< 10 weeks: aORs = 1.31-1.76; ≥ 10 weeks: aORs = 1.42-2.77) were consistently associated with breastfeeding and duration across most racial/ethnic groups; effects were consistently smaller among Alaska Native, Black, and Hispanic women (vs White women). Over half of American Indian and one-quarter of Black women reported not breastfeeding/stopping breastfeeding due to return to school/work concerns. CONCLUSIONS: Associations between breastfeeding information source and breastfeeding rates vary across race/ethnicity. Culturally tailored breastfeeding information and support from family/friends and support groups could help reduce breastfeeding disparities. Additional measures are needed to address disparities related to concerns about return to work/school.

Deported, homeless, and into the canal: Environmental structural violence in the binational Tijuana River.

INTRODUCTION: The US deports more Mexicans to Tijuana than any other borderland city. Returning involuntarily as members of a stigmatized underclass, many find themselves homeless and de-facto stateless. Subject to routinized police victimization, many take refuge in the Tijuana River Canal (El Bordo). Previous reports suggest Tijuana River water may be contaminated but prior studies have not accessed the health effects or contamination of the water closest to the river residents. METHODS: A binational, transdisciplinary team undertook a socio-environmental, mixed methods assessment to simultaneously characterize Tijuana River water quality with chemical testing, assess the frequency of El Bordo residents' water-related diseases, and trace water contacts with epidemiological survey methods (n = 85 adults, 18+) in 2019, and ethnographic methods in 2019-2021. Our analysis brings the structural violence framework into conversation with an environmental injustice perspective to documented how social forces drive poor health outcomes enacted through the environment. RESULTS: The Tijuana River water most proximate to its human inhabitants fails numerous water-quality standards, posing acute health risks. Escherichia coli values were ∼40,000 times the Mexican regulatory standard for directly contacted water. Skin infections (47%), dehydration (40%) and diarrhea (28%) were commonly reported among El Bordo residents. Residents are aware the water is contaminated and strive to minimize harm to their health by differentially using local water sources. Their numerous survival constraints, however, are exacerbated by routine police violence which propels residents and other people who inject drugs into involuntary contact with contaminated water. DISCUSSION: Human rights to drinking water, sanitation and hygiene are routinely violated among El Bordo inhabitants. This is exacerbated by violent policing practices that force unhoused deportees to seek refuge in waterways, and drive water contacts. Furthermore, US-Mexico 'free-trade' agreements drive rapid growth in Tijuana, restrict Mexican environmental regulation enforcement, and drive underinvestment in sewage systems and infrastructure.