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.

Predicting potential interactions between lncRNAs and proteins via combined graph auto-encoder methods.

Long noncoding RNA (lncRNA) is a kind of noncoding RNA with a length of more than 200 nucleotide units. Numerous research studies have proven that although lncRNAs cannot be directly translated into proteins, lncRNAs still play an important role in human growth processes by interacting with proteins. Since traditional biological experiments often require a lot of time and material costs to explore potential lncRNA-protein interactions (LPI), several computational models have been proposed for this task. In this study, we introduce a novel deep learning method known as combined graph auto-encoders (LPICGAE) to predict potential human LPIs. First, we apply a variational graph auto-encoder to learn the low dimensional representations from the high-dimensional features of lncRNAs and proteins. Then the graph auto-encoder is used to reconstruct the adjacency matrix for inferring potential interactions between lncRNAs and proteins. Finally, we minimize the loss of the two processes alternately to gain the final predicted interaction matrix. The result in 5-fold cross-validation experiments illustrates that our method achieves an average area under receiver operating characteristic curve of 0.974 and an average accuracy of 0.985, which is better than those of existing six state-of-the-art computational methods. We believe that LPICGAE can help researchers to gain more potential relationships between lncRNAs and proteins effectively.

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 insurance literacy among patients receiving outpatient cancer treatment.

BACKGROUND: This study examines patients' understanding of health insurance terms and concepts and quantifies health insurance literacy (HIL) levels by key sociodemographic factors. METHODS: This study included 393 adult patients with cancer (>18 years old) receiving treatment in two ambulatory infusion centers: Mayo Clinic in Phoenix, Arizona and the University of Mississippi Medical Center in Jackson, Mississippi. Respondents' perceptions of their HIL were assessed using the Health Insurance Literacy Measure (HILM), a validated 21-item measure of a consumer's ability to select and use health insurance (HIL self-efficacy). Respondents' knowledge of health insurance concepts (HIL knowledge) was measured using 10 items created by the Kaiser Family Foundation. The number of correct answers was categorized into three levels: 0-4 (low knowledge), 5-6 (moderate knowledge), and 7-10 (high knowledge). Multivariable logistic regressions were used to compare correct answers to HIL knowledge questions by HIL self-efficacy. RESULTS: Nearly three-quarters of patients had high HIL self-efficacy and high HIL knowledge (70.5%), understanding basic insurance terms, such as premiums and deductibles. Relatively low percentages of patients correctly answered questions about the meaning of provider networks, health insurance formularies, and calculating out-of-pocket spending in scenarios when insurers pay a portion of allowed charges. Lower HIL knowledge was more common among patients with less educational attainment (

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.

Synergistic Interaction of Ionic Liquid Grafted Poly(vinylidene Fluoride) and Carbon Nanotubes to Construct Water Treatment Membranes with Multiple Separation Properties.

In this study, the dual strategy of 1-butyl-3-vinylimidazolium bromide ionic liquid (IL) grafting and carbon nanotubes (CNTs) nanocomposition was applied to modify poly(vinylidene fluoride) (PVDF)-based membranes. The highly hydrophilic/oleophobic and fouling-resistant PVDF-g-IL/CNTs membranes with excellent separation efficiency were obtained by the nonsolvent-induced phase separation method with ethanol-water mixed solution as the coagulation bath. The grafted IL not only generated hydrophilic groups on PVDF chains but also acted together with the CNTs to induce the formation of hydrophilic ß-crystalline phase of PVDF, which significantly improved the hydrophilicity and pore structure of the modified PVDF membranes. As a result, the pure water flux of the optimal membrane increased up to 294.2 L m-2 h-1, which was 5.2 times greater than that of the pure PVDF membrane. Simultaneously, the electrostatic interaction of the positive IL and the integration of CNTs enhanced adsorption sites of the membranes, producing exceptional retention and adsorption of dye wastewater and oil-water emulsion. This study presents a straightforward and efficient approach for fabricating PVDF separation membranes, which have potential applications in the purification of various polluted wastewater.

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.

Acetylcytidine modification of Amotl1 by N-acetyltransferase 10 contributes to cardiac fibrotic expansion in mice after myocardial infarction.

Cardiac fibrosis is a pathological scarring process that impairs cardiac function. N-acetyltransferase 10 (Nat10) is recently identified as the key enzyme for the N4-acetylcytidine (ac4C) modification of mRNAs. In this study, we investigated the role of Nat10 in cardiac fibrosis following myocardial infarction (MI) and the related mechanisms. MI was induced in mice by ligation of the left anterior descending coronary artery; cardiac function was assessed with echocardiography. We showed that both the mRNA and protein expression levels of Nat10 were significantly increased in the infarct zone and border zone 4 weeks post-MI, and the expression of Nat10 in cardiac fibroblasts was significantly higher compared with that in cardiomyocytes after MI. Fibroblast-specific overexpression of Nat10 promoted collagen deposition and induced cardiac systolic dysfunction post-MI in mice. Conversely, fibroblast-specific knockout of Nat10 markedly relieved cardiac function impairment and extracellular matrix remodeling following MI. We then conducted ac4C-RNA binding protein immunoprecipitation-sequencing (RIP-seq) in cardiac fibroblasts transfected with Nat10 siRNA, and revealed that angiomotin-like 1 (Amotl1), an upstream regulator of the Hippo signaling pathway, was the target gene of Nat10. We demonstrated that Nat10-mediated ac4C modification of Amotl1 increased its mRNA stability and translation in neonatal cardiac fibroblasts, thereby increasing the interaction of Amotl1 with yes-associated protein 1 (Yap) and facilitating Yap translocation into the nucleus. Intriguingly, silencing of Amotl1 or Yap, as well as treatment with verteporfin, a selective and potent Yap inhibitor, attenuated the Nat10 overexpression-induced proliferation of cardiac fibroblasts and prevented their differentiation into myofibroblasts in vitro. In conclusion, this study highlights Nat10 as a crucial regulator of myocardial fibrosis following MI injury through ac4C modification of upstream activators within the Hippo/Yap signaling pathway.

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.

Self-Cleaning and Photodegradable PVDF-g-IL Dye Wastewater Separation Membranes Modified with Dopamine-Coated TiO2 Core-Shell Particles.

In the present work, self-cleaning membranes of ionic liquid-grafted poly(vinylidene fluoride) (PVDF) polydopamine-coated TiO2 were prepared through a nonsolvent-induced phase separation method. PDA facilitates the uniform dispersion of TiO2 nanoparticles in PVDF substrates; meanwhile, TiO2@PDA core-shell particles and the hydrophilic IL improve the hydrophilicity of PVDF membranes and contribute to the increased average pore size and porosity, significantly improving the pure water permeation flux and dye wastewater flux (the water flux increased to 385.9 Lm-2 h-1). In addition, the combined effect of the positively charged IL and the strongly viscous PDA shell layer enhanced the retention and adsorption of dyes so that the retention and adsorption rates of both anionic and cationic dyes were close to 100%. Notably, the hydrophilic PDA allowed more TiO2 to migrate to the membrane surface during the phase transition; on the other hand, dopamine could promote photodegradation. Therefore, the combined two factors for TiO2@PDA were beneficial to the ultraviolet-catalytic (UV-catalytic) degradation of dyes on the surface of the membrane, leading to >80% degradation rates of various dyes. Thus, the high-efficiency and easy-to-operate wastewater treatment technology provides attractive potential for dye removal and resolution of membrane contamination.

Person-years of life lost and lost earnings from cigarette smoking-attributable cancer deaths, United States, 2019.

State-specific information on lost earnings due to smoking-attributable cancer deaths to inform and advocate for tobacco control policies is lacking. We estimated person-years of life lost (PYLL) and lost earnings due to cigarette smoking-attributable cancer deaths in the United States nationally and by state. Proportions and numbers of cigarette smoking-attributable cancer deaths and associated PYLL among individuals aged 25 to 79 years in 2019 were calculated and combined with annual median earnings to estimate lost earnings attributable to cigarette smoking. In 2019, estimated total PYLL and lost earnings associated with cigarette smoking-attributable cancer deaths in ages 25 to 79 years in the United States were 2 188 195 (95% CI, 2 148 707-2 231 538) PYLL and $20.9 billion ($20.0 billion-$21.7 billion), respectively. States with the highest overall age-standardized PYLL and lost earning rates generally were in the South and Midwest. The estimated rate per 100 000 population ranged from 352 (339-366) in Utah to 1337 (1310-1367) in West Virginia for PYLL and from $4.3 million ($3.5 million-$5.2 million) in Idaho to $14.8 million ($10.6 million-$20.7 million) in Missouri for lost earnings. If age-specific PYLL and lost earning rates in Utah had been achieved by all states, 58.2% (57.0%-59.5%) of the estimated total PYLL (1 274 178; 1 242 218-1 306 685 PYLL) and 50.5% (34.2%-62.4%) of lost earnings ($10.5 billion; $7.1 billion-$13.1 billion) in 2019 nationally would have been avoided. Lost earnings due to smoking-attributable cancer deaths are substantial in the United States and are highest in states with weaker tobacco control policies.

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.

Compact and efficient three-mode (de)multiplexer based on horizontal polymer waveguide couplers.

A compact and efficient polymer three-mode (de)multiplexer with two cascaded waveguide directional couplers fabricated on the same substrate along the horizontal direction is proposed. Three waveguides formed two couplers, where two narrower waveguides were placed on either side of the central waveguide. By optimizing the core height and width, the two couplers can ensure that the E11x mode of the two narrower waveguides are highly coupled into the E21x and E31x modes of the central waveguide at a wavelength of 1310 nm. The structural size of the fabricated three-mode (de)multiplexer using ultraviolet (UV) lithography technology is in agreement with the designed value. The fabricated device, which is 35 mm long, exhibits coupling ratios of 98.07% and 95.43% for the two couplers, respectively. The insertion losses of the three waveguides are 5.23 dB, 8.58 dB, and 14.39 dB, respectively. The device can achieve the multiplexing of three modes in two dimensions, which can increase the channel capacity of optical communication.

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.

Preexisting Condition Protections Under the Affordable Care Act: Changes in Insurance Coverage, Premium Contributions, and Out-of-Pocket Spending.

OBJECTIVES: In January 2014, the Affordable Care Act (ACA) preexisting condition protections prohibited coverage denials, premium increases, and claim denials on the basis of preexisting conditions. This study aimed to examine changes in coverage and premiums and out-of-pocket spending after the implementation of the preexisting condition protections under the ACA. METHODS: We identified adults aged 18 to 64 years with (n = 59 041) and without preexisting conditions (n = 61 970) from the 2011-2013 and 2015-2017 Medical Expenditure Panel Survey. We used a difference-in-differences and a difference-in-difference-in-differences approach to assess the associations of preexisting condition protections and changes in insurance coverage, premium contributions, and out-of-pocket spending after the ACA. Simple and multivariable logistic or multivariable 2-part models were fitted for the full sample and stratified by family income (low ≤138% federal poverty level [FPL]; middle 139%-400% FPL; and high > 400 FPL). RESULTS: The ACA increased nongroup insurance coverage to a similar extent for individuals with or without preexisting conditions at all income levels. Decreases in premium contributions were observed to a similar extent among families with nongroup private coverage regardless of declinable preexisting condition status, whereas no significant changes were observed among families with group coverage. We found greater decreases in out-of-pocket spending for individuals with preexisting conditions than those without conditions among both individuals covered by nongroup and group insurance, and a greater difference was observed among those covered by nongroup insurance (difference-in-difference-in-differences -$279; 95% confidence interval -$528 to -$29). CONCLUSIONS: The ACA protections were associated with decreases in out-of-pocket spending among adults with preexisting conditions.

Low-Concentration Air Pollution and Mortality in American Older Adults: A National Cohort Analysis (2001-2017).

Mounting epidemiological evidence has documented the associations between long-term exposure to multiple air pollutants and increased mortality. There is a pressing need to determine whether risks persist at low concentrations including below current national standards. Air pollution levels have decreased in the United States, and better understanding of the health effects of low-level air pollution is essential for the amendment of National Ambient Air Quality Standards (NAAQS). A nationwide, population-based, open cohort study was conducted to estimate the association between long-term exposure to low-level PM2.5, NO2, O3, and all-cause mortality. The study population included all Medicare enrollees (ages 65 years or older) in the contiguous U.S. from 2001 to 2017. We further defined three low-exposure subcohorts comprised of Medicare enrollees who were always exposed to low-level PM2.5 (annual mean ≤12-µg/m3), NO2 (annual mean ≤53-ppb), and O3 (warm-season mean ≤50-ppb), respectively, over the study period. Of the 68.7-million Medicare enrollees, 33.1% (22.8-million, mean age 75.9 years), 93.8% (64.5-million, mean age 76.2 years), and 65.0% (44.7-million, mean age 75.6 years) were always exposed to low-level annual PM2.5, annual NO2, and warm-season O3 over the study period, respectively. Among the low-exposure cohorts, a 10-µg/m3 increase in PM2.5, 10-ppb increase in NO2, and 10-ppb increase in warm-season O3, were, respectively, associated with an increase in mortality rate ranging between 10 and 13%, 2 and 4%, and 12 and 14% in single-pollutant models, and between 6 and 8%, 1 and 3%, and 9 and 11% in tripollutant models, using three statistical approaches. There was strong evidence of linearity in concentration-response relationships for PM2.5 and NO2 at levels below the current NAAQS, suggesting that no safe threshold exists for health-harmful pollution levels. For O3, the concentration-response relationship shows an increasingly positive association at levels above 40-ppb. In conclusion, exposure to low levels of PM2.5, NO2, and warm-season O3 was associated with an increased risk of all-cause mortality.

Light Emitting Diodes Irradiation Regulates miRNA-877-3p to Promote Cardiomyocyte Proliferation.

Mammalian cardiomyocytes (CMs) maintain a low capacity for self-renewal in adulthood, therefore the induction of CMs cycle re-entry is an important approach to promote myocardial repair after injury. Recently, photobiomodulation (PBM) has been used to manipulate physiological activities of various tissues and organs by non-invasive means. Here, we demonstrate that conditioned PBM using light-emitting diodes with a wavelength of 630 nm (LED-Red) was capable of promoting the proliferation of neonatal CMs. Further studies showed that low-power LED-Red affected the expression of miR-877-3p and promoted the proliferation of CMs. In contrast, silencing of miR-877-3p partially abolished the pro-proliferative actions of LED-Red irradiation on CMs. Mechanistically, GADD45g was identified as a downstream target gene of miR-877-3p. Conditioned LED-Red irradiation also inhibited the expression of GADD45g in neonatal CMs. Moreover, GADD45g siRNA reversed the positive effect of LED-Red on the proliferation of neonatal CMs. Taken together, conditioned LED-Red irradiation increased miR-877-3p expression and promoted the proliferation of neonatal CMs by targeting GADD45g. This finding provides a new insight into the role of LED-Red irradiation in neonatal CMs biology and suggests its potential application in myocardial injury repair.

Geospatial indicators of exposure, sensitivity, and adaptive capacity to assess neighbourhood variation in vulnerability to climate change-related health hazards.

BACKGROUND: Although the frequency and magnitude of climate change-related health hazards (CCRHHs) are likely to increase, the population vulnerabilities and corresponding health impacts are dependent on a community's exposures, pre-existing sensitivities, and adaptive capacities in response to a hazard's impact. To evaluate spatial variability in relative vulnerability, we: 1) identified climate change-related risk factors at the dissemination area level; 2) created actionable health vulnerability index scores to map community risks to extreme heat, flooding, wildfire smoke, and ground-level ozone; and 3) spatially evaluated vulnerability patterns and priority areas of action to address inequity. METHODS: A systematic literature review was conducted to identify the determinants of health hazards among populations impacted by CCRHHs. Identified determinants were then grouped into categories of exposure, sensitivity, and adaptive capacity and aligned with available data. Data were aggregated to 4188 Census dissemination areas within two health authorities in British Columbia, Canada. A two-step principal component analysis (PCA) was then used to select and weight variables for each relative vulnerability score. In addition to an overall vulnerability score, exposure, adaptive capacity, and sensitivity sub-scores were computed for each hazard. Scores were then categorised into quintiles and mapped. RESULTS: Two hundred eighty-one epidemiological papers met the study criteria and were used to identify 36 determinant indicators that were operationalized across all hazards. For each hazard, 3 to 5 principal components explaining 72 to 94% of the total variance were retained. Sensitivity was weighted much higher for extreme heat, wildfire smoke and ground-level ozone, and adaptive capacity was highly weighted for flooding vulnerability. There was overall varied contribution of adaptive capacity (16-49%) across all hazards. Distinct spatial patterns were observed - for example, although patterns varied by hazard, vulnerability was generally higher in more deprived and more outlying neighbourhoods of the study region. CONCLUSIONS: The creation of hazard and category-specific vulnerability indices (exposure, adaptive capacity and sensitivity sub-scores) supports evidence-based approaches to prioritize public health responses to climate-related hazards and to reduce inequity by assessing relative differences in vulnerability along with absolute impacts. Future studies can build upon this methodology to further understand the spatial variation in vulnerability and to identify and prioritise actionable areas for adaptation.