Cancer diagnosis and treatment in working-age adults: Implications for employment, health insurance coverage, and financial hardship in the United States.

The rising costs of cancer care and subsequent medical financial hardship for cancer survivors and families are well documented in the United States. Less attention has been paid to employment disruptions and loss of household income after a cancer diagnosis and during treatment, potentially resulting in lasting financial hardship, particularly for working-age adults not yet age-eligible for Medicare coverage and their families. In this article, the authors use a composite patient case to illustrate the adverse consequences of cancer diagnosis and treatment for employment, health insurance coverage, household income, and other aspects of financial hardship. They summarize existing research and provide nationally representative estimates of multiple aspects of financial hardship and health insurance coverage, benefit design, and employee benefits, such as paid sick leave, among working-age adults with a history of cancer and compare them with estimates among working-age adults without a history of cancer from the most recently available years of the National Health Interview Survey (2019-2021). Then, the authors identify opportunities for addressing employment and health insurance coverage challenges at multiple levels, including federal, state, and local policies; employers; cancer care delivery organizations; and nonprofit organizations. These efforts, when informed by research to identify best practices, can potentially help mitigate the financial hardship associated with cancer.

Health insurance status and cancer stage at diagnosis and survival in the United States.

Previous studies using data from the early 2000s demonstrated that patients who were uninsured were more likely to present with late-stage disease and had worse short-term survival after cancer diagnosis in the United States. In this report, the authors provide comprehensive data on the associations of health insurance coverage type with stage at diagnosis and long-term survival in individuals aged 18-64 years who were diagnosed between 2010 and 2013 with 19 common cancers from the National Cancer Database, with survival follow-up through December 31, 2019. Compared with privately insured patients, Medicaid-insured and uninsured patients were significantly more likely to be diagnosed with late-stage (III/IV) cancer for all stageable cancers combined and separately. For all stageable cancers combined and for six cancer sites-prostate, colorectal, non-Hodgkin lymphoma, oral cavity, liver, and esophagus-uninsured patients with Stage I disease had worse survival than privately insured patients with Stage II disease. Patients without private insurance coverage had worse short-term and long-term survival at each stage for all cancers combined; patients who were uninsured had worse stage-specific survival for 12 of 17 stageable cancers and had worse survival for leukemia and brain tumors. Expanding access to comprehensive health insurance coverage is crucial for improving access to cancer care and outcomes, including stage at diagnosis and survival.

The Affordable Care Act and access to care across the cancer control continuum: A review at 10 years.

Lack of health insurance coverage is strongly associated with poor cancer outcomes in the United States. The uninsured are less likely to have access to timely and effective cancer prevention, screening, diagnosis, treatment, survivorship, and end-of-life care than their counterparts with health insurance coverage. On March 23, 2010, the Patient Protection and Affordable Care Act (ACA) was signed into law, representing the largest change to health care delivery in the United States since the introduction of the Medicare and Medicaid programs in 1965. The primary goals of the ACA are to improve health insurance coverage, the quality of care, and patient outcomes, and to maintain or lower costs by catalyzing changes in the health care delivery system. In this review, we describe the main components of the ACA, including health insurance expansions, coverage reforms, and delivery system reforms, provisions within these components, and their relevance to cancer screening and early detection, care, and outcomes. We then highlight selected, well-designed studies examining the effects of the ACA provisions on coverage, access to cancer care, and disparities throughout the cancer control continuum. Finally, we identify research gaps to inform evaluation of current and emerging health policies related to cancer outcomes.

Changes in mortality associated with different hematologic malignancies during the pandemic in the United States.

Patients with hematologic malignancies are at increased risk of adverse COVID-19 outcomes; nonetheless, only sparse population-based data are available on mortality related to hematologic cancers during the pandemic. Number of deaths and age-standardized mortality rates for specific hematologic malignancies selected either as the underlying cause of death (UCOD), or mentioned in death certificates (multiple causes of death-MCOD) were extracted from the US National Center for Health Statistics, CDC WONDER Online Database. Joinpoint analysis was applied to identify changes in mortality trends from 1999 to 2021, and to estimate the annual percent change with 95% Confidence Intervals (CI) across time segments. Among the most common malignancies, chronic lymphocytic leukemia showed marked peaks in the monthly number of deaths attributed to COVID-19 during epidemic waves; acute myeloid leukemia showed the least variation, and non-Hodgkin lymphoma and multiple myeloma were characterized by an intermediate pattern. Age-standardized death rates relying solely on the UCOD did not show significant variations during pandemic years. By contrast, rates based on MCOD increased by 14.0% (CI, 10.2-17.9%) per year for chronic lymphocytic leukemia, by 5.1% (CI, 3.1-7.2%) for non-Hodgkin lymphoma and by 3.2% (CI, 0.3-6.1%) per year for multiple myeloma. Surveillance of mortality based on MCOD is warranted to accurately measure the impact of the COVID-19 pandemic and of other epidemics, including seasonal flu, on patients with hematologic malignancies, and to assess the effects of vaccination campaigns and other preventive measures.

Changes in cancer incidence rates by stage during the COVID-19 pandemic in the US.

The coronavirus disease 2019 (COVID-19) pandemic led to health care disruptions and declines in cancer diagnoses in the United States. However, the impact of the pandemic on cancer incidence rates by stage at diagnosis and race and ethnicity is unknown. This cross-sectional study calculated delay- and age-adjusted incidence rates, stratified by stage at diagnosis and race and ethnicity, and rate ratios (RRs) comparing changes in year-over-year incidence rates (eg, 2020 vs 2019) from 2016 to 2020 for 22 cancer types based on data obtained from the Surveillance, Epidemiology, and End Results 22-registry database. From 2019 to 2020, the incidence of local-stage disease statistically significantly declined for 19 of the 22 cancer types, ranging from 4% (RR = 0.96; 95%CI, 0.93-0.98) for urinary bladder cancer to 18% for colorectal (RR = 0.82; 95%CI, 0.81-0.84) and laryngeal (RR = 0.82; 95%CI, 0.78-0.88) cancers, deviating from pre-COVID stable year-over-year changes. Incidence during the corresponding period also declined for 16 cancer types for regional-stage and six cancer types for distant-stage disease. By race and ethnicity, the decline in local-stage incidence for screening-detectable cancers was generally greater in historically marginalized populations. The decline in cancer incidence rates during the first year of the COVID-19 pandemic occurred mainly for local- and regional-stage diseases across racial and ethnic groups. Whether these declines will lead to increases in advanced-stage disease and mortality rates remain to be investigated with additional data years. Nevertheless, the findings reinforce the importance of strengthening the return to preventive care campaigns and outreach for detecting cancers at early and more treatable stages.

Employment and workdays lost among spouses of cancer survivors: Intersection with gender across cancer treatment status.

BACKGROUND: Cancer patients and survivors have high care needs, often provided by a spouse or partner. The purpose of this study was to elucidate how employment and work loss patterns differed across cancer history/treatment status and gender. METHODS: Using nationally representative data from the Medical Expenditure Panel Survey (2011, 2016, and 2017), the authors linked data across married participants and categorized them by spouses' cancer treatment status (no cancer history, on treatment for cancer, off treatment for cancer). Multivariable logistic and zero-inflated negative binomial regressions were used to assess the associations among cancer history/treatment status, gender, and employment outcomes (employment status and workdays lost to care for self or others). RESULTS: For men, employment did not differ significantly by cancer history/treatment status (on treatment: odds ratio [OR], 0.58; 95% confidence interval [CI], 0.33-1.02, off treatment: OR, 0.84; 95% CI, 0.62-1.14 vs. no cancer history). For women, employment was not significantly different when the spouse was on treatment for cancer compared to no cancer history (OR, 0.78; 95% CI, 0.33-1.86]) but was significantly increased for women whose spouse was off treatment (OR, 1.39; 95% CI, 1.05-1.84). Among employed participants, women whose spouse was on cancer treatment were nine times more likely to take days off work to provide care (OR, 9.52; 95% CI, 3.94-23.03) and took more than three times as many days off to care for others (OR, 3.21; 95% CI, 2.07-4.97) as men whose spouse had no cancer history. CONCLUSIONS: Wives of cancer survivors are at increased risk of work loss, with implications for their financial and psychological well-being. Employers, policymakers, and clinicians have opportunities to support working caregivers.

Health-related social needs, medical financial hardship, and mortality risk among cancer survivors.

BACKGROUND: Cancer survivors may face challenges affording food, housing, and other living necessities, which are known as health-related social needs (HRSNs). However, little is known about the associations of HRSNs and mortality risk among adult cancer survivors. METHODS: Adult cancer survivors were identified from the 2013-2018 National Health Interview Survey (NHIS) and linked with the NHIS Mortality File with vital status through December 31, 2019. HRSNs, measured by food insecurity, and nonmedical financial worries (e.g., housing costs), was categorized as severe, moderate, and minor/none. Medical financial hardship, including material, psychological, and behavioral domains, was categorized as 2-3, 1, or 0 domains. Using age as the time scale, the associations of HRSNs and medical financial hardship and mortality risk were assessed with weighted adjusted Cox proportional hazards models. RESULTS: Among cancer survivors 18-64 years old (n = 5855), 25.5% and 18.3% reported moderate and severe levels of HRSNs, respectively; among survivors 65-79 years old (n = 5918), 15.6% and 6.6% reported moderate and severe levels of HRSNs, respectively. Among cancer survivors 18-64 years old, severe HRSNs was associated with increased mortality risk (hazards ratio [HR], 2.00; 95% confidence interval [CI], 1.36-2.93, p < .001; reference = minor/none) in adjusted analyses. Among cancer survivors 65-79 years old, 2-3 domains of medical financial hardship was associated with increased mortality risk (HR, 1.58; 95% CI, 1.13-2.20, p = .007; reference = 0 domain). CONCLUSIONS: HSRNs and financial hardship are associated with increased mortality risk among cancer survivors; comprehensive assessment of HRSN and financial hardship connecting patients with relevant services can inform efforts to mitigate adverse consequences of cancer.

Loneliness and Mortality Risk Among Cancer Survivors in the United States: A Retrospective, Longitudinal Study.

BACKGROUND: Loneliness, a subjective feeling of being isolated, is a prevalent concern for elderly people and more so among cancer survivors because a cancer diagnosis and its subsequent treatment may result in long-term adverse health effects. This study aimed to examine the association of loneliness and mortality risk among cancer survivors in the United States. METHODS: We identified a longitudinal cohort of cancer survivors aged ≥50 years from the nationally representative panel surveys of the 2008-2018 Health and Retirement Study. Follow-up for vital status was through 2020. Loneliness was measured using an 11-item abbreviated version of the UCLA Loneliness Scale (Version 3), including questions about lacking companionship and feeling isolated from others. A score was assigned according to the responses to each question, with 1 for least lonely, 2 for moderately lonely, and 3 for the loneliest option. Items were summed to create total loneliness scores for each individual, which were categorized into 4 levels: 11-12 (low/no loneliness), 13-15 (mild loneliness), 16-19 (moderate loneliness), and 20-33 (severe loneliness) based on the sample distribution. Time-varying Cox proportional hazard models with age as a time scale were used to examine the association of loneliness and survival among cancer survivors. RESULTS: A total of 3,447 cancer survivors with 5,808 person-years of observation were included, with 1,402 (24.3%), 1,445 (24.5%), 1,418 (23.6%), and 1,543 (27.6%) reporting low/no, mild, moderate, and severe loneliness, respectively. Compared with survivors reporting low/no loneliness, survivors reporting greater loneliness had a higher mortality risk, with the highest adjusted hazard ratios (aHRs) among the loneliest group (aHR, 1.67 [95% CI, 1.25-2.23]; P=.004) following a dose-response association. CONCLUSIONS: Elevated loneliness was associated with a higher mortality risk among cancer survivors. Programs to screen for loneliness among cancer survivors and to provide resources and support are warranted, especially considering the widespread social distancing that occurred during the COVID-19 pandemic.

Artificial intelligence assistance for fetal development: evaluation of an automated software for biometry measurements in the mid-trimester.

BACKGROUND: This study presents CUPID, an advanced automated measurement software based on Artificial Intelligence (AI), designed to evaluate nine fetal biometric parameters in the mid-trimester. Our primary objective was to assess and compare the CUPID performance of experienced senior and junior radiologists. MATERIALS AND METHODS: This prospective cross-sectional study was conducted at Shenzhen University General Hospital between September 2022 and June 2023, and focused on mid-trimester fetuses. All ultrasound images of the six standard planes, that enabled the evaluation of nine biometric measurements, were included to compare the performance of CUPID through subjective and objective assessments. RESULTS: There were 642 fetuses with a mean (±SD) age of 22 ± 2.82 weeks at enrollment. In the subjective quality assessment, out of 642 images representing nine biometric measurements, 617-635 images (90.65-96.11%) of CUPID caliper placements were determined to be accurately placed and did not require any adjustments. Whereas, for the junior category, 447-691 images (69.63-92.06%) were determined to be accurately placed and did not require any adjustments. In the objective measurement indicators, across all nine biometric parameters and estimated fetal weight (EFW), the intra-class correlation coefficients (ICC) (0.843-0.990) and Pearson correlation coefficients (PCC) (0.765-0.978) between the senior radiologist and CUPID reflected good reliability compared with the ICC (0.306-0.937) and PCC (0.566-0.947) between the senior and junior radiologists. Additionally, the mean absolute error (MAE), percentage error (PE), and average error in days of gestation were lower between the senior and CUPID compared to the difference between the senior and junior radiologists. The specific differences are as follows: MAE (0.36-2.53 mm, 14.67 g) compared to (0.64- 8.13 mm, 38.05 g), PE (0.94-9.38%) compared to (1.58-16.04%), and average error in days (3.99-7.92 days) compared to (4.35-11.06 days). In the time-consuming task, CUPID only takes 0.05-0.07 s to measure nine biometric parameters, while senior and junior radiologists require 4.79-11.68 s and 4.95-13.44 s, respectively. CONCLUSIONS: CUPID has proven to be highly accurate and efficient software for automatically measuring fetal biometry, gestational age, and fetal weight, providing a precise and fast tool for assessing fetal growth and development.

Changes in cancer diagnoses and stage distribution during the first year of the COVID-19 pandemic in the USA: a cross-sectional nationwide assessment.

BACKGROUND: The emergence of COVID-19 disrupted health care, with consequences for cancer diagnoses and outcomes, especially for early stage diagnoses, which generally have favourable prognoses. We aimed to examine nationwide changes in adult cancer diagnoses and stage distribution during the first year of the COVID-19 pandemic by cancer type and key sociodemographic factors in the USA. METHODS: In this cross-sectional study, adults (aged ≥18 years) newly diagnosed with a first primary malignant cancer between Jan 1, 2018, and Dec 31, 2020, were identified from the US National Cancer Database. We included individuals across 50 US states and the District of Columbia who were treated in hospitals that were Commission on Cancer-accredited during the study period. Individuals whose cancer stage was 0 (except for bladder cancer), occult, or without an applicable American Joint Committee on Cancer staging scheme were excluded. Our primary outcomes were the change in the number and the change in the stage distribution of new cancer diagnoses between 2019 (Jan 1 to Dec 31) and 2020 (Jan 1 to Dec 31). Monthly counts and stage distributions were calculated for all cancers combined and for major cancer types. We also calculated annual change in stage distribution from 2019 to 2020 and adjusted odds ratios (aORs) using multivariable logistic regression, adjusted for age group, sex, race and ethnicity, health insurance status, comorbidity score, US state, zip code-level social deprivation index, and county-level age-adjusted COVID-19 mortality in 2020. Separate models were stratified by sociodemographic and clinical factors. FINDINGS: We identified 2 404 050 adults who were newly diagnosed with cancer during the study period (830 528 in 2018, 849 290 in 2019, and 724 232 in 2020). Mean age was 63·5 years (SD 13·5) and 1 287 049 (53·5%) individuals were women, 1 117 001 (46·5%) were men, and 1 814 082 (75·5%) were non-Hispanic White. The monthly number of new cancer diagnoses (all stages) decreased substantially after the start of the COVID-19 pandemic in March, 2020, although monthly counts returned to near pre-pandemic levels by the end of 2020. The decrease in diagnoses was largest for stage I disease, leading to lower odds of being diagnosed with stage I disease in 2020 than in 2019 (aOR 0·946 [95% CI 0·939-0·952] for stage I vs stage II-IV); whereas, the odds of being diagnosed with stage IV disease were higher in 2020 than in 2019 (1·074 [1·066-1·083] for stage IV vs stage I-III). This pattern was observed in most cancer types and sociodemographic groups, although was most prominent among Hispanic individuals (0·922 [0·899-0·946] for stage I; 1·110 [1·077-1·144] for stage IV), Asian American and Pacific Islander individuals (0·924 [0·892-0·956] for stage I; 1·096 [1·052-1·142] for stage IV), uninsured individuals (0·917 [0·875-0·961] for stage I; 1·102 [1·055-1·152] for stage IV), Medicare-insured adults younger than 65 years (0·909 [0·882-0·937] for stage I; 1·105 [1·068-1·144] for stage IV), and individuals living in the most socioeconomically deprived areas (0·931 [0·917-0·946] for stage I; 1·106 [1·087-1·125] for stage IV). INTERPRETATION: Substantial cancer underdiagnosis and decreases in the proportion of early stage diagnoses occurred during 2020 in the USA, particularly among medically underserved individuals. Monitoring the long-term effects of the pandemic on morbidity, survival, and mortality is warranted. FUNDING: None.

Incidence and trends of hepatic cancer among children and adolescents in the United States from 2000 to 2017: Evidence from the Surveillance, Epidemiology, and End Results registry data.

OBJECTIVE: Primary liver tumors are rare pediatric malignancies. Knowledge of the epidemiology of pediatric liver tumors is limited. This study aims to present the national incidence trends of pediatric liver tumors over 18 years, according to sociodemographic and histological subtype variation. METHODS: The Surveillance, Epidemiology, and End Results registry was queried from 2000 to 2017 for 1,099 patients between ages 0 and 19 with liver tumors. Age-standardized incidence rates by age, sex, and race/ethnicity were examined among histological subtypes. Annual percentage change (APC) was calculated via joinpoint regression for various sociodemographic and histotype subgroups. RESULTS: An increase of age-adjusted incidence rate of pediatric hepatic cancers was observed between 2000 and 2017 (APC, 1.7% [95% confidence interval or CI: 0.6%-2.8%], p-value = 0.006), which may likely attribute to the increasing incidence of hepatoblastoma and mesenchymal tumors (APC, 2.5% [95% CI: 1.1%-3.8%], p-value = 0.001). The incidence trend of hepatocellular carcinoma remained stable in the study period. The non-Hispanic Asian/Pacific Islander children and adolescents had a higher risk of hepatic tumors (incidence rate ratio or IRR, 1.42 [95% CI: 1.16-1.72], p-value = 0.0007) when compared with the non-Hispanic white subgroup, while a non-Hispanic black child was associated with a lower incidence rate (IRR, 0.64 [95% CI: 0.50-0.80], p-value < 0.0001). Significantly lower hepatic tumor incidence occurred in females than males, with an incidence rate ratio of 0.69 (95% CI: 0.61-0.78; p-value < 0.0001). Hepatic tumor incidence was also significantly lower in those aged 1-4 years (IRR, 0.47 [95% CI: 0.40-0.54]; p-value < 0.001) and 5-19 years (IRR, 0.09 [95% CI: 0.08-0.10]; p-value < 0.001) when compared with the youngest age group aged less than 1 year. These significant differences were also detected for the subgroup of hepatoblastoma and mesenchymal liver tumors but less among hepatocellular carcinomas (all p-values less than 0.0001). CONCLUSION: Continued increasing incidence of pediatric hepatoblastoma and mesenchymal liver tumors was discovered and warranted further investigation. Additional findings include a lower incidence of hepatic cancer among non-Hispanic black individuals and higher incidence of hepatic cancer in non-Hispanic Asian/Pacific Islander, male, and aged 1-4-year children and adolescents.

Access to Care Among Adults with Limited English Proficiency.

BACKGROUND: There are approximately 25.6 million individuals with limited English proficiency (LEP) in the USA, and this number is increasing. OBJECTIVE: Investigate associations between LEP and access to care in adults. DESIGN: Cross-sectional nationally representative survey. PARTICIPANTS: Adults with (n = 18,908) and without (n = 98,060) LEP aged ≥ 18 years identified from the 2014-2018 Medical Expenditure Panel Survey MAIN MEASURES: Associations between LEP and access to healthcare and preventive services were evaluated with multivariable logistic regression models, stratified by age group (18-64 and ≥ 65 years). The official government definition of LEP (answers "not at all/not well/well" to the question "How well do you speak English?") was used. Access to care included having a usual source of care (and if so, distance from usual source of care, difficulty contacting usual source of care, and provision of extended hours), visiting a medical provider in the past 12 months, having to forego or delay care, and having trouble paying for medical bills. Preventive services included blood pressure and cholesterol check, flu vaccination, and cancer screening. KEY RESULTS: Adults aged 18-64 years with LEP were significantly more likely to lack a usual source of care (adjusted odds ratios [aOR] = 2.48; 95% confidence interval [CI] = 2.27-2.70), not have visited a medical provider (aOR = 2.02; CI = 1.89-2.16), and to be overdue for receipt of preventive services, including blood pressure check (aOR = 2.00; CI = 1.79-2.23), cholesterol check (aOR = 1.22; CI = 1.03-1.44), and colorectal cancer screening (aOR = 1.58; CI = 1.37-1.83) than adults without LEP. Results were similar among adults aged ≥ 65 years. CONCLUSIONS: Adults with LEP had consistently worse access to care than adults without LEP. System-level interventions, such as expanding access to health insurance coverage, providing language services, improving provider training in cultural competence, and increasing diversity in the medical workforce may minimize barriers and improve equity in access to care.

Leucine Supplementation Alleviates Immune and Antioxidant Function Damage in Adult Rats Induced by Early Weaning.

BACKGROUND: Early weaning (EW) can lead to stress and destroy intestinal integrity. Leucine has functional diversity in antioxidant, immune, and metabolic regulation. OBJECTIVES: This study aimed to explore the lifelong impact of EW on intestinal, immune, and antioxidant functions of adult rats and the role of leucine supplementation in the alleviation of the damage caused by EW. METHODS: In this 211-d study, 36 Sprague Dawley (SD) rat pups were divided into 3 groups: 21-d weaning normal group, 17-d EW group, and 17-d EW group with 2-mo leucine supplementation. The content of amino acids in serum, immune and antioxidant indexes, intestinal morphology, liver transcriptomics, messenger RNA (mRNA), and protein expression of signaling pathway were determined. RESULTS: EW reduced the protein expression level of secretory immunoglobulin A (IgA) and reduced glutathione (GSH) in the jejunum and increased the protein expression concentrations of IgA, IgM, and interleukin 17 (IL-17) in serum, and tumor necrosis factor α and IL-1ß in the jejunum. The impairment by EW was activated via nuclear transcription factor κB (NF-κB) signal pathway. In terms of antioxidation, EW reduced the concentration of GSH in the jejunum. After leucine supplementation, the damage induced by EW was partially repaired. CONCLUSIONS: EW causes long-term damage to the intestinal barrier function, immunity, apoptosis factor, and antioxidant function in rats and leucine supplementation could alleviate the impairment, suggesting a possible approach to EW.

Racial Discrimination and Sleep Quality during the COVID-19 Pandemic: Findings from the Health, Ethnicity, and Pandemic (HEAP) Study.

Previous research has documented the association between racial discrimination and poor sleep quality. However, few studies have examined this association during the COVID-19 pandemic when racial discrimination is on the rise due to structural injustice and racism against people of color. Using data from the Health, Ethnicity, and Pandemic (HEAP) Study, a nationally representative survey of US adults, we assessed the association between racial discrimination and sleep quality among overall adults and by race and ethnicity. We found that racial discrimination during the pandemic was significantly associated with higher risks of poor sleep quality among non-Hispanic Black (OR = 2.19, 95% CI: 1.13-4.25) and Asian (OR = 2.75, 95% CI: 1.53-4.94) participants, but not among the other groups. The results suggested that sleep quality among Black and Asian populations may have been disproportionately affected by racial discrimination during the pandemic. Further study is needed to assess the causal relationship between racial discrimination and sleep quality.

Racial-ethnic disparities in psychological distress during the COVID-19 pandemic in the United States: the role of experienced discrimination and perceived racial bias.

BACKGROUND: Research on mental health disparities by race-ethnicity in the United States (US) during COVID-19 is limited and has generated mixed results. Few studies have included Asian Americans as a whole or by subgroups in the analysis. METHODS: Data came from the 2020 Health, Ethnicity, and Pandemic Study, based on a nationally representative sample of 2,709 community-dwelling adults in the US with minorities oversampled. The outcome was psychological distress. The exposure variable was race-ethnicity, including four major racial-ethnic groups and several Asian ethnic subgroups in the US. The mediators included experienced discrimination and perceived racial bias toward one's racial-ethnic group. Weighted linear regressions and mediation analyses were performed. RESULTS: Among the four major racial-ethnic groups, Hispanics (22%) had the highest prevalence of severe distress, followed by Asians (18%) and Blacks (16%), with Whites (14%) having the lowest prevalence. Hispanics' poorer mental health was largely due to their socioeconomic disadvantages. Within Asians, Southeast Asians (29%), Koreans (27%), and South Asians (22%) exhibited the highest prevalence of severe distress. Their worse mental health was mainly mediated by experienced discrimination and perceived racial bias. CONCLUSIONS: Purposefully tackling racial prejudice and discrimination is necessary to alleviate the disproportionate psychological distress burden in racial-ethnic minority groups.

Chronic comorbid conditions among adult cancer survivors in the United States: Results from the National Health Interview Survey, 2002-2018.

BACKGROUND: Cancer survivors develop other chronic medical conditions because of shared risk factors and delayed effects of cancer treatment. This study investigated trends in the prevalence of chronic diseases and estimated their population sizes among adult cancer survivors in the United States from 2002 to 2018. METHODS: Using 2002-2018 National Health Interview Survey data, this study calculated the age-sex-race/ethnicity-adjusted prevalences and estimated the population sizes for the following chronic conditions among cancer survivors: hypertension, diabetes, stroke, heart disease, chronic obstructive pulmonary disease (COPD)/asthma, hepatitis, arthritis, liver disease, kidney disease, and morbid obesity. This study also examined multiple chronic conditions (MCC; 3 or more health conditions). MCC trends were further examined by sociodemographic factors to identify high-risk populations. Parallel analyses were performed for participants without a cancer history to provide a reference. RESULTS: Among 30,728 cancers survivors, increasing trends were observed in the prevalence of hypertension, diabetes, kidney disease, liver disease, and morbid obesity, whereas decreasing prevalence trends were observed for ischemic heart disease, COPD, and hepatitis. Cancer survivors with MCC increased from 4.7 million in 2002 to 8.1 million in 2018 (the prevalence increased from 43.7% to 46.6%). The increase was more pronounced among survivors aged 18 to 44 years. Among adults without a cancer history, the MCC prevalence also increased, although more slowly than among survivors. CONCLUSIONS: The number of adult cancer survivors in the United States with comorbid illnesses has increased substantially over the past 2 decades. Optimal management of comorbid conditions and aggressive interventions for risk reduction may benefit the cancer survivor population.

The first year of the COVID-19 pandemic and health among cancer survivors in the United States.

BACKGROUND: Cancer survivors represent a population with high health care needs. If and how cancer survivors were affected by the first year of the coronavirus disease 2019 (COVID-19) pandemic are largely unknown. METHODS: Using data from the nationwide, population-based Behavioral Risk Factor Surveillance System (2017-2020), the authors investigated changes in health-related measures during the COVID-19 pandemic among cancer survivors and compared them with changes among adults without a cancer history in the United States. Sociodemographic and health-related measures such as insurance coverage, employment status, health behaviors, and health status were self-reported. Adjusted prevalence ratios of health-related measures in 2020 versus 2017-2019 were calculated with multivariable logistic regressions and stratified by age group (18-64 vs. ≥65 years). RESULTS: Among adults aged 18-64 years, the uninsured rate did not change significantly in 2020 despite increases in unemployment. The prevalence of unhealthy behaviors, such as insufficient sleep and smoking, decreased in 2020, and self-rated health improved, regardless of cancer history. Notably, declines in smoking were larger among cancer survivors than nonelderly adults without a cancer history. Few changes were observed for adults aged ≥65 years. CONCLUSIONS: Further research is needed to confirm the observed positive health behavior and health changes and to investigate the role of potential mechanisms, such as the national and regional policy responses to the pandemic regarding insurance coverage, unemployment benefits, and financial assistance. As polices related to the public health emergency expire, ongoing monitoring of longer term effects of the pandemic on cancer survivorship is warranted.

Pediatric neurological cancer incidence and trends in the United States, 2000-2018.

OBJECTIVE: To characterize the epidemiological trends and sociodemographic variation of pediatric and adolescent neurological cancers by histological subtypes over time in the USA. METHODS: A total of 16,511 patients aged 0-19 years diagnosed with neurological cancers between 2000 and 2018, including 13,024 with central nervous system (CNS) neoplasms and 3,487 with neuroblastomas, were identified from 18 registries of the National Cancer Institute's Surveillance, Epidemiology, and End Results Program. Incidence trends over time and incidence rate ratios by race/ethnicity, sex, and age were calculated for histological subtype. Age-standardized incidence rates (ASIR) by year of diagnosis and average annual percent changes (AAPC) were calculated to measure incidence rates. ASIR by race/ethnicity, sex, and age were calculated to examine the incidence variation by these factors. RESULTS: Overall, age-standardized annual incidence per 100,000 person-years increased from 2.20 in 2000 to 3.21 in 2018 with an AAPC of 1.4% (95% confidence interval or CI: 0.5% to 2.4%); however, that of Hispanic decreased from 2.93 in 2000 to 2.59 in 2018 with an AAPC of - 0.8% (95% CI: - 1.2% to - 0.3%). Non-Hispanic Black children and adolescents had a statistically significantly lower incidence than non-Hispanic White peers both for CNS neoplasms (incidence rate ratio or IRR: 0.67; 95% CI: 0.63 to 0.71) and neuroblastomas (IRR: 0.75; 95% CI: 0.68 to 0.83). Females generally had a lower incidence than males, especially among those with intracranial and intraspinal embryonal tumors (IRR: 0.69; 95% CI: 0.64 to 0.75). The highest incidence rate of neuroblastoma was among newborns aged less than 1 year, and the highest incidence rate of CNS neoplasms was among children aged 1-4 years. CONCLUSION: The incidence of neurological cancers has increased among children and adolescents from 2000 to 2018, with wide variation across demographic groups.

Racial Discrimination, Mental Health and Behavioral Health During the COVID-19 Pandemic: a National Survey in the United States.

BACKGROUND: While hate crimes rose during the COVID-19 pandemic, few studies examined whether this pandemic-time racial discrimination has led to negative health consequences at the population level. OBJECTIVE: We examined whether experienced and perceived racial discrimination were associated with mental or behavioral health outcomes during the pandemic. DESIGN: In October 2020, we conducted a national survey with minorities oversampled that covered respondents' sociodemographic background and health-related information. PARTICIPANTS: A total of 2709 participants responded to the survey (response rate: 4.2%). MAIN MEASURES: The exposure variables included (1) experienced and encountered racial discrimination, (2) experienced racial and ethnic cyberbullying, and (3) perceived racial bias. Mental health outcomes were measured by psychological distress and self-rated happiness. Measures for behavioral health included sleep quality, change in cigarette smoking, and change in alcohol consumption. Weighted logistic regressions were performed to estimate the associations between the exposure variables and the outcomes, controlling for age, gender, race and ethnicity, educational attainment, household income, eligibility to vote, political party, COVID-19 infection, and geographic region. Separate regressions were performed in the six racial and ethnic subgroups: non-Hispanic White, non-Hispanic Black, Hispanic, East Asian, South Asian, and Southeast Asian respondents. KEY RESULTS: Experienced racial discrimination was associated with higher likelihood of psychological distress (adjusted odds ratio [AOR] = 2.18, 95% confidence interval [95% CI]: 1.34-3.55). Experienced racial discrimination (AOR = 2.31, 95% CI: 1.34-3.99) and perceived racial bias (AOR = 1.05, 95% CI: 1.00-1.09) were both associated with increased cigarette smoking. The associations between racial discrimination and mental distress and substance use were most salient among Black, East Asian, South Asian, and Hispanic respondents. CONCLUSIONS: Racial discrimination may be associated with higher likelihood of distress, and cigarette smoking among racial and ethnic minorities. Addressing racial discrimination is important for mitigating negative mental and behavioral health ramifications of the pandemic.

Paid Sick Leave Among Working Cancer Survivors and Its Associations With Use of Preventive Services in the United States.

BACKGROUND: We sought to examine the lack of paid sick leave among working cancer survivors by sociodemographic/socioeconomic and employment characteristics and its association with preventive services use in the United States. METHODS: Working cancer survivors (ages 18-64 years; n=7,995; weighted n=3.43 million) were identified using 2001-2018 National Health Interview Survey data. Adjusted prevalence of lack of paid sick leave by sociodemographic and socioeconomic characteristics, as well as job sector, working hours, and employer size, were generated using multivariable logistic regression models. Separate analyses examined the associations of lack of paid sick leave with use of various preventive services. RESULTS: Of all working cancer survivors, 36.4% lacked paid sick leave (n=2,925; weighted n=1.25 million), especially those working in food/agriculture/construction/personal services occupations or industries (ranging from 54.9% to 88.5%). In adjusted analyses, working cancer survivors with lower household income (<200% of the federal poverty level, 48.7%), without a high school degree (43.3%), without health insurance coverage (70.6%), and who were self-employed (89.5%), were part-time workers (68.2%), or worked in small businesses (<50 employees, 48.8%) were most likely to lack paid sick leave. Lack of paid sick leave was associated with lower use of influenza vaccine (ages 18-39 years, 21.3% vs 33.3%; ages 40-49 years, 25.8% vs 38.3%; ages 50-64 years, 46.3% vs 52.4%; P<.001 for all), cholesterol screening (ages 18-39 years, 43.1% vs 62.5%; P<.05), and blood pressure check (ages 18-39 years, 43.1% vs 62.5%; P<.05) compared with survivors having paid sick leave. CONCLUSIONS: In the United States, more than one-third of all working cancer survivors and more than half of survivors working for small employers and in certain occupations/industries lack paid sick leave. Survivors with lower household income or educational attainment are particularly vulnerable. Moreover, lack of paid sick leave is associated with lower use of some recommended preventive services, suggesting that ensuring working cancer survivors have access to paid sick leave may be an important mechanism for reducing health disparities.