Trends in Financial Hardship by COVID-19 Infection History, Long COVID Status, and Day-to-Day Activity Limitations: A National Study of US Adults.

While most working-age adults in the US obtain health insurance through an employer, little is known about the implications of the massive pandemic-related job loss in March 2020 and subsequent rebound for rates of employer-sponsored coverage and uninsurance. To determine how health insurance coverage changed during the COVID-19 pandemic. Analysis of trends in insurance coverage based on repeated cross sections of the US Census Bureau's Household Pulse Survey data, using linear regression to adjust for respondent's demographic and socioeconomic characteristics and state of residence. More than 1.2 million US adults aged 18 to 64 years were surveyed from April 23 through December 21, 2020. The COVID-19 pandemic, separated into spring and summer and fall and winter time periods during 2020, as well as state Medicaid expansion status. Regression-based estimates of the weekly percentage-point change in respondents' health insurance status, including having any health insurance, any employer-sponsored health insurance, or only nonemployer sponsored coverage. Nonemployer-sponsored coverage is categorized into private, Medicaid, and other public in some analyses. The study population included 1 212 816 US adults (51% female; mean [SD] age, 42 [13] years) across all 50 US states and Washington DC. Among these respondents, rates of employer-sponsored coverage declined by 0.2 percentage points each week during the COVID-19 pandemic. Other types of coverage, particularly from public sources, increased by 0.1 and 0.2 percentage points in the spring and summer and fall and winter periods, respectively. Overall, health insurance coverage of any type declined, particularly during the spring and summer period, during which uninsurance increased by 1.4 percentage points, representing more than 2.7 million newly uninsured people, over a 12-week period. In this cross-sectional study of data from the US Census Bureau's Household Pulse Survey, results showed that while public programs played an important role in protecting US adults from pandemic-driven declines in employment-sponsored coverage, many people became uninsured during 2020.

Patients with atherosclerotic cardiovascular disease (ASCVD) face substantial financial burden from health care costs as assessed by many disparate measures. However, evaluation of the concordance of existing measures and the prevalence of financial burden based on these measures is lacking. To compare subjectively reported and objectively measured financial burden from health care in families of patients with ASCVD. This cross-sectional study used data from the Medical Expenditure Panel Survey, a nationally representative survey of individuals and families in the US, and included all families with 1 or more members with ASCVD from 2014 to 2018. Analyses were conducted from October 2021 to April 2022. Using accepted definitions, objective financial hardship represented annual out-of-pocket medical expenses exceeding 20% of annual postsubsistence income, and subjective financial hardship represented self-reported problems paying medical bills or paying them over time. Prevalence of financial hardship was identified based on individual definitions and their concordance was assessed. Factors associated with each type of financial hardship were examined using risk-adjusted survey logistic regression. Multivariable logistic regression was used to model the odds of subjective financial hardship vs objective financial hardship across subgroups. The association between measures of financial hardship and self-reported deferral of care was also assessed. Among 10 975 families of patients with ASCVD, representing 22.5 million families nationally (mean [SD] age of index individual, 66 [24] years; estimated 54% men]), 37% experienced either objective or subjective financial hardship. This group included 11% (95% CI, 10%-11%) with objective financial hardship, 21% (95% CI, 20%-22%) with subjective financial hardship, and 5% (95% CI, 5%-6%) with both objective and subjective financial hardship. Mean age was 70 (95% CI, 68-71) years vs 61 (95% CI, 60-62) years for index patients in families reporting objective financial hardship only vs subjective financial hardship only, with no difference in sex (50% [95% CI, 46%-54%] of men vs 49% [95% CI, 47%-52%] of women). In risk-adjusted analyses, among families of patients with ASCVD, patient age of 65 years or older was associated with lower odds of subjective financial hardship than objective financial hardship (odds ratio [OR], 0.39; 95% CI, 0.20-0.76), whereas higher income (OR, 6.08; 95% CI, 3.93-9.42 for an income of >100%-200% of the federal poverty level [FPL] vs ≤100% of the FPL and OR, 20.46; 95% CI, 11.45-36.56 for >200% of FPL vs ≤100% of FPL), public insurance (OR, 6.60; 95% CI, 4.20-10.37), and being uninsured (OR, 5.36; 95% CI, 2.61-10.98) were associated with higher odds of subjective financial hardship than objective financial hardship. Subjective financial hardship alone was associated with significantly higher adjusted odds of self-reporting deferred or forgone care compared with objective financial hardship alone (OR, 2.69; 95% CI, 1.79-4.06). In this cross-sectional study of US adults, 2 in 5 families of patients with ASCVD experienced health care-related financial hardship, but a focus on objective or subjective measures alone would have captured only half the burden and not identified those deferring health care. The findings suggest that a comprehensive framework that evaluates both objective and subjective measures is essential to monitor financial consequences of health care.

The COVID-19 pandemic spurred an economic downturn that may have eroded population mental health, especially for renters and homeowners who experienced financial hardship and were at risk of housing loss. Using household-level data from the Census Bureau's Household Pulse Survey (n = 805,223; August 2020–August 2021) and state-level data on eviction/foreclosure bans, we estimated linear probability models with two-way fixed effects to (1) examine links between COVID-related financial hardship and anxiety/depression and (2) assess whether state eviction/foreclosure bans buffered the detrimental mental health impacts of financial hardship. Findings show that individuals who reported difficulty paying for household expenses and keeping up with rent or mortgage had increased anxiety and depression risks but that state eviction/foreclosure bans weakened these associations. Our findings underscore the importance of state policies in protecting mental health and suggest that heterogeneity in state responses may have contributed to mental health inequities during the pandemic.

COVID-19 booster vaccine can strengthen waning immunity and widen the range of immunity against new variants. To describe geographic, occupational, and sociodemographic variations in uptake of COVID-19 booster doses among fully vaccinated US adults. This cross-sectional survey study used data from the Household Pulse Survey conducted from December 1, 2021, to January 10, 2022. Household Pulse Survey is an online, probability-based survey conducted by the US Census Bureau and is designed to yield estimates nationally, by state, and across selected metropolitan areas. Receipt of a booster dose was defined as taking 2 or more doses of COVID-19 vaccines with the first one being the Johnson and Johnson (Janssen) vaccine, or taking 3 or more doses of any of the other COVID-19 vaccines. Weighted prevalence estimates (percentages) were computed overall and among subgroups. Adjusted prevalence ratios (APRs) were calculated in a multivariable Poisson regression model to explore correlates of receiving a booster dose among those fully vaccinated. A total of 135 821 adults completed the survey. Overall, 51.0% were female and 41.5% were aged 18 to 44 years (mean [SD] age, 48.07 [17.18] years). Of fully vaccinated adults, the percentage who reported being boosted was 48.5% (state-specific range, from 39.1% in Mississippi to 66.5% in Vermont). Nationally, the proportion of boosted adults was highest among non-Hispanic Asian individuals (54.1%); those aged 65 years or older (71.4%); those with a doctoral, professional, or master's degree (68.1%); those who were married with no children in the household (61.2%); those with annual household income of $200 000 or higher (69.3%); those enrolled in Medicare (70.9%); and those working in hospitals (60.5%) or in deathcare facilities (eg, funeral homes; 60.5%). Conversely, only one-third of those who ever received a diagnosis of COVID-19, were enrolled in Medicaid, working in pharmacies, with less than a high school education, and aged 18 to 24 years old were boosted. Multivariable analysis of pooled national data revealed that compared with those who did not work outside their home, the likelihood of being boosted was higher among adults working in hospitals (APR, 1.23; 95% CI, 1.17-1.30), ambulatory health care centers (APR, 1.16; 95% CI, 1.09-1.24), and social service settings (APR, 1.08; 95% CI, 1.01-1.15), whereas lower likelihood was seen among those working in food or beverage stores (APR, 0.85; 95% CI, 0.74-0.96) and the agriculture, forestry, fishing, or hunting industries (APR, 0.83; 95% CI, 0.72-0.97). These findings suggest continuing disparities in receipt of booster vaccine doses among US adults. Targeted efforts at populations with low uptake may be needed to improve booster vaccine coverage in the US.

Is there endoscopic capacity to provide colorectal cancer screening to the unscreened population in the United States?

BackgroundRecent shifts in hybrid working practices have coincided with rising prices, potentially inducing inflation-related stress among employees.ObjectiveTo investigate associations between remote work status and self-reported inflation-related stress among employed US adults in an overall sample and stratified by gender identity and race/ethnicity.MethodsWe pooled data across 15 survey cycles (September 2022-October 2023) from the US Census Bureau Household Pulse Survey. Remote work status was measured as 0, 1-2, 3-4, and 5 + days. Covariates included age, marital status, education, income, number of children, employment sector, region, and survey cycle.ResultsThe weighted sample comprised 48,686,575 individuals (0 days = 24%, 1-2 days = 23%, 3-4 days = 15%, and 5 + days = 38%), with 93% who self-reported stress related to inflation. Among the overall sample, employed individuals working remotely for 5 + days (adjusted OR [aOR] 0.87, 95% CI 0.80, 0.95) had lower odds of self-reported inflation stress than workers with zero remote workdays. Similar associations were found among males (aOR 0.87, 95% CI 0.78, 0.98), females (aOR 0.87, 95% CI 0.76, 0.99), White individuals (aOR 0.84, 95% CI 0.77, 0.93), and individuals of other race/ethnicity (aOR 0.58, 95% CI 0.37, 0.90). We did not find any statistically significant remote work associations with self-reported inflation stress among Black, Hispanic, and Asian individuals.ConclusionsOur findings have important implications for occupational health, elucidating a potential positive relationship between remote work and inflation stress. These findings can inform how organizations shape their hybrid-working policies to minimize financial stress on employees.

BackgroundFinancial hardship is associated with poor health, however the association of financial hardship and incident diabetic kidney disease (DKD) is unknown. This study aimed to examine the longitudinal relationship between financial hardship and incident DKD among older adults with diabetes.MethodsAnalyses were conducted in 2735 adults age 50 or older with diabetes and no DKD using four waves of data (2006–2012) from the Health and Retirement Study, a national longitudinal cohort. The primary outcome was incident DKD. Financial hardship was based on three measures: 1) difficulty paying bills; 2) food insecurity; and 3) cost-related medication non-adherence using validated surveys. A dichotomous financial hardship variable (0 vs 1 or more) was constructed based on all three measures. Cox regression models were used to estimate the association between financial hardship, change in financial hardship experience and incident DKD adjusting for demographics, socioeconomic status, and comorbidities.ResultsDuring the median follow-up period of 4.1 years, incident DKD rate was higher in individuals with versus without financial hardship (41.2 versus 27/1000 person years). After adjustment, individuals with financial hardship (HR 1.32, 95% CI 1.04–1.68) had significantly increased likelihood of developing DKD compared to individuals without financial hardship. Persistent financial hardship (adjusted HR 1.52 95% CI 1.06–2.18) and negative financial hardship (adjusted HR 1.54 95% CI 1.02–2.33) were associated with incident DKD compared with no financial hardship experience. However, positive financial hardship was not statistically significant in unadjusted and adjusted (adjusted HR 0.89 95% CI 0.55–1.46) models. Cost-related medication non-adherence (adjusted HR 1.43 95% CI 1.07–1.93) was associated with incident DKD independent of other financial hardship measures.ConclusionsFinancial hardship experience is associated with a higher likelihood of incident DKD in older adults with diabetes. Future studies investigating factors that explain the relationship between financial hardship and incident DKD are needed.

BackgroundResearch suggests an association between COVID-19 infection and certain financial hardships in the shorter term and among single-state and privately insured samples. Whether COVID-19 is associated with financial hardship in the longer-term or among socially vulnerable populations is unknown. Therefore, we examined whether COVID-19 was associated with a range of financial hardships 18 months after initial infection among a national cohort of Veterans enrolled in the Veterans Health Administration (VHA)—the largest national integrated health system in the US. We additionally explored the association between Veteran characteristics and financial hardship during the pandemic, irrespective of COVID-19.MethodsWe conducted a prospective, telephone-based survey. Out of 600 Veterans with COVID-19 from October 2020 through April 2021 who were invited to participate, 194 Veterans with COVID-19 and 194 matched comparators without a history of infection participated. Financial hardship outcomes included overall health-related financial strain, two behavioral financial hardships (e.g., taking less medication than prescribed due to cost), and seven material financial hardships (e.g., using up most or all savings). Weighted generalized estimating equations were used to estimate risk ratios (RR) and 95% confidence intervals (CI) of financial hardship by COVID-19 status, and to assess the relationship between infection and Veteran age, VHA copay status, and comorbidity score, irrespective of COVID-19 status.ResultsAmong 388 respondents, 67% reported at least one type of financial hardship since March 2020, with 21% reporting behavioral hardships and 64% material hardships; 8% reported severe-to-extreme health-related financial strain. Compared with uninfected matched comparators, Veterans with a history of COVID-19 had greater risks of severe-to-extreme health-related financial strain (RR: 4.0, CI: 1.4–11.2), taking less medication due to cost (RR: 2.9, 95% CI: 1.0–8.6), and having a loved one take time off work to care for them (RR: 1.9, CI: 1.1–3.6). Irrespective of COVID-19 status, Veterans aged < 65 years had a greater risk of most financial hardships compared with Veterans aged ≥ 65 years.ConclusionsHealth-related financial hardships such as taking less medication due to cost and severe-to-extreme health-related financial strain were more common among Veterans with a history of COVID-19 than among matched comparators. Strategies are needed to address health-related financial hardship after COVID-19.Trial registrationNCT05394025, registered 05–27-2022.

During the COVID-19 pandemic, food insecurity increased despite legislation that put more resources into Federal Nutrition Assistance Programs. I gathered information by reviewing the literature on food insecurity during the COVID-19 pandemic, and how different barriers ranging from lack of transportation to being undocumented affected disadvantaged minorities. The US Census Bureau’s weekly Household Pulse Surveys provided tables of data on how the pandemic affected employment, food sufficiency and food security, health, and housing. In studying the data collected from Household Pulse Surveys conducted by the US census, I was able to study trends throughout the pandemic and different phases of the quarantine, generally the uneducated, those that have not even received a high school degree have seen larger percentages of food insecurity. To gain insight into what charitable food sectors provided for those unable to take advantage of Federal Nutrition Assistance programs, I interviewed individuals who run and volunteer at food banks. From reviewing the literature, examining the US Census Household Pulse Survey Data, and interviewing those integral to the charitable food network, it can be concluded that the government should work towards closing transportation accessibility gaps and increasing charitable food sectors in regions where food insecurity is more prevalent.

Financial hardship has been associated with increased levels of stress and can potentially lead to poor mental health and mental disorders. This study seeks to explore the association between stress due to inflation and depression in the United States (US). We hypothesized that inflation caused higher stress which was associated with increased depression among US adults. The Census Household Pulse Survey (HPS) week 53 (January 4 – January 16, 2023), issued by US Census Bureau, comprises of survey data from randomly selected individuals across the nation with an approximately 6% response rate. The HPS survey includes 54,611 individuals, where nearly 75% of adults reported experiencing stress due to inflation. A significantly higher percentage of adults with stress reported depression (28.2% vs. 6.8%) compared to those without stress. When grouping individuals by socioeconomic status (SES), the association of stress with depression was more pronounced in the low SES group than those in the high SES group. These results suggest that stress has a stronger association with depression among individuals with lower SES status during periods of economic inflation. Our data indicate that interventions and support systems that address mental health issues related to stress may need to be tailored differently for individuals with varying socioeconomic backgrounds.

An increase in households with food insecurity has been reported during the COVID-19 pandemic, but the trend of food insecurity during the pandemic remains unclear. Using Household Pulse Survey (HPS) data over 34 weeks from June 2020 to September 2021 (nationally representative samples of US adults in the households from the US Census Bureau), we examined racial disparity and trends of food scarcity amid the COVID-19 pandemic. The time series plots illustrated that the food scarcity rate was incremental until December 2020 and began improving thereafter across all racial groups. Such improvements in food scarcity were accompanied by the rise in regular income rates while the use of food assistance programs, unemployment insurance, and stimulus payments remained unchanged or reduced. As the US economy recovered, the gaps in food scarcity rates also narrowed between Black/Hispanic and White households.

Although past studies establish a link between residential instability and poor mental health, studies investigating the association between perceived risk of eviction and mental health with nationally representative data are largely lacking. This study examines the association between self-reported risk of eviction and anxiety, depression, and prescription medication use for mental or emotional health reasons. This is a retrospective observational study using the repeated-cross sectional data (n = 14548; unweighted) using the US Census Bureau’s Household Pulse Survey from July 2021 to March 2022. Survey respondents aged 18 years and above who lived in rented residences and were not caught up with the rent payments at the time of the survey were included in the analysis. The descriptive summary shows a higher prevalence of depression (59.33 % vs 37.01 %), anxiety (67.01 % vs 43.28 %), and prescription medication use (26.57 % vs 23.68 %) among the respondents who are likely to face eviction in the next two months compared to the reference group not at the risk of eviction. When adjusted for demographic characteristics, family context, and socioeconomic setting, the odds of depression, anxiety, and prescription medication use in the at-risk eviction group were significantly higher than in the reference group. Specifically, odds ratios (ORs) [95 % CI] for depression, anxiety, and prescription medication use are 2.366 [2.364, 2.369], 2.650 [2.648, 2.653], and 1.172 [1.171, 1.174], respectively. These results suggest that the perceived risk of eviction is associated with elevated mental health problems. Addressing the housing crisis may help decrease the mental health burden among rented households.

Financial hardships, job losses, and social isolation during the COVID-19 pandemic have increased food insecurity. We examined associations between food insecurity-related interventions and mental health among US adults aged ≥18 years from April 2020 through August 2021. We pooled data from the Household Pulse Survey from April 2020 through August 2021 (N = 2 253 567 adults). To estimate associations between mental health and food insecurity, we examined the following interventions: the Supplemental Nutrition Assistance Program (SNAP), Economic Impact Payments (stimulus funds), unemployment insurance, and free meals. We calculated psychological distress index (PDI) scores (Cronbach α = 0.91) through principal components analysis using 4 mental health variables: depression, anxiety, worry, and lack of interest (with a standardized mean score [SD] = 100 [20]). We conducted multivariable linear regression to estimate the interactive effects of the intervention and food insecurity on psychological distress, controlling for sociodemographic characteristics. During the study period, adults with food insecurity had higher mean PDI scores than adults without food insecurity. Food insecurity was associated with increased PDI scores after controlling for sociodemographic characteristics. In stratified models, negative associations between food insecurity and mental health (as shown by reductions in PDI scores) were mitigated by SNAP (-4.5), stimulus fund (-4.1), unemployment insurance (-4.4), and free meal (-4.4) interventions. The mitigation effects of interventions on PDI were greater for non-Hispanic White adults than for non-Hispanic Black or Asian adults. Future research on food insecurity and mental health should include investigations on programs and policies that could be of most benefit to racial and ethnic minority groups.

ObjectiveTo project the proportion of population 65+ years with severe long-term activity limitations from 2017 to 2047.DesignLarge population study.SettingPopulation living in private households of the European Union (EU) and neighbouring...

IntroductionMany individuals experienced financial hardship during the COVID-19 pandemic; yet commercial tobacco (CT) sales increased in the USA. We examined how experiencing financial hardships relates to increased CT discount coupon...