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In 2021, the American Cancer Society published its first biennial report on the status of cancer disparities in the United States. In this second report, the authors provide updated data on racial, ethnic, socioeconomic (educational attainment as a marker), and geographic (metropolitan status) disparities in cancer occurrence and outcomes and contributing factors to these disparities in the country. The authors also review programs that have reduced cancer disparities and provide policy recommendations to further mitigate these inequalities. There are substantial variations in risk factors, stage at diagnosis, receipt of care, survival, and mortality for many cancers by race/ethnicity, educational attainment, and metropolitan status. During 2016 through 2020, Black and American Indian/Alaska Native people continued to bear a disproportionately higher burden of cancer deaths, both overall and from major cancers. By educational attainment, overall cancer mortality rates were about 1.6-2.8 times higher in individuals with ≤12 years of education than in those with ≥16 years of education among Black and White men and women. These disparities by educational attainment within each race were considerably larger than the Black-White disparities in overall cancer mortality within each educational attainment, ranging from 1.03 to 1.5 times higher among Black people, suggesting a major role for socioeconomic status disparities in racial disparities in cancer mortality given the disproportionally larger representation of Black people in lower socioeconomic status groups. Of note, the largest Black-White disparities in overall cancer mortality were among those who had ≥16 years of education. By area of residence, mortality from all cancer and from leading causes of cancer death were substantially higher in nonmetropolitan areas than in large metropolitan areas. For colorectal cancer, for example, mortality rates in nonmetropolitan areas versus large metropolitan areas were 23% higher among males and 21% higher among females. By age group, the racial and geographic disparities in cancer mortality were greater among individuals younger than 65 years than among those aged 65 years and older. Many of the observed racial, socioeconomic, and geographic disparities in cancer mortality align with disparities in exposure to risk factors and access to cancer prevention, early detection, and treatment, which are largely rooted in fundamental inequities in social determinants of health. Equitable policies at all levels of government, broad interdisciplinary engagement to address these inequities, and equitable implementation of evidence-based interventions, such as increasing health insurance coverage, are needed to reduce cancer disparities.
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Etnicidad , Neoplasias , Masculino , Humanos , Femenino , Estados Unidos/epidemiología , American Cancer Society , Neoplasias/epidemiología , Neoplasias/terapia , Atención a la Salud , Población Negra , Disparidades en el Estado de Salud , Disparidades en Atención de SaludRESUMEN
In this report, the authors provide comprehensive and up-to-date US data on disparities in cancer occurrence, major risk factors, and access to and utilization of preventive measures and screening by sociodemographic characteristics. They also review programs and resources that have reduced cancer disparities and provide policy recommendations to further mitigate these inequalities. The overall cancer death rate is 19% higher among Black males than among White males. Black females also have a 12% higher overall cancer death rate than their White counterparts despite having an 8% lower incidence rate. There are also substantial variations in death rates for specific cancer types and in stage at diagnosis, survival, exposure to risk factors, and receipt of preventive measures and screening by race/ethnicity, socioeconomic status, and geographic location. For example, kidney cancer death rates by sex among American Indian/Alaska Native people are ≥64% higher than the corresponding rates in each of the other racial/ethnic groups, and the 5-year relative survival for all cancers combined is 14% lower among residents of poorer counties than among residents of more affluent counties. Broad and equitable implementation of evidence-based interventions, such as increasing health insurance coverage through Medicaid expansion or other initiatives, could substantially reduce cancer disparities. However, progress will require not only equitable local, state, and federal policies but also broad interdisciplinary engagement to elevate and address fundamental social inequities and longstanding systemic racism.
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Etnicidad , Neoplasias , American Cancer Society , Femenino , Humanos , Masculino , Medicaid , Neoplasias/epidemiología , Neoplasias/terapia , Grupos Raciales , Estados Unidos/epidemiologíaRESUMEN
Average ambient concentrations of nitrogen dioxide (NO2), an important air pollutant, have declined in the United States since the enactment of the Clean Air Act. Despite evidence that NO2 disproportionately affects racial/ethnic minority groups, it remains unclear what drives the exposure disparities and how they have changed over time. Here, we provide evidence by integrating high-resolution (1 km × 1 km) ground-level NO2 estimates, sociodemographic information, and source-specific emission intensity and location for 217,740 block groups across the contiguous United States from 2000 to 2016. We show that racial/ethnic minorities are disproportionately exposed to higher levels of NO2 pollution compared with Whites across the United States and within major metropolitan areas. These inequities persisted over time and have worsened in many cases, despite a significant decrease in the national average NO2 concentration over the 17-y study period. Overall, traffic contributes the largest fraction of NO2 disparity. Contributions of other emission sources to exposure disparities vary by location. Our analyses offer insights into policies aimed at reducing air pollution exposure disparities among races/ethnicities and locations.
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Contaminación del Aire , Disparidades en el Estado de Salud , Dióxido de Nitrógeno , Estados Unidos/etnología , Dióxido de Nitrógeno/toxicidad , Disparidades Socioeconómicas en Salud , Análisis Espacio-Temporal , Grupos Raciales , Etnicidad , Factores de Tiempo , HumanosRESUMEN
Urban environments contribute substantially to the rising burden of cardiometabolic diseases worldwide. Cities are complex adaptive systems that continually exchange resources, shaping exposures relevant to human health such as air pollution, noise, and chemical exposures. In addition, urban infrastructure and provisioning systems influence multiple domains of health risk, including behaviors, psychological stress, pollution, and nutrition through various pathways (eg, physical inactivity, air pollution, noise, heat stress, food systems, the availability of green space, and contaminant exposures). Beyond cardiometabolic health, city design may also affect climate change through energy and material consumption that share many of the same drivers with cardiometabolic diseases. Integrated spatial planning focusing on developing sustainable compact cities could simultaneously create heart-healthy and environmentally healthy city designs. This article reviews current evidence on the associations between the urban exposome (totality of exposures a person experiences, including environmental, occupational, lifestyle, social, and psychological factors) and cardiometabolic diseases within a systems science framework, and examines urban planning principles (eg, connectivity, density, diversity of land use, destination accessibility, and distance to transit). We highlight critical knowledge gaps regarding built-environment feature thresholds for optimizing cardiometabolic health outcomes. Last, we discuss emerging models and metrics to align urban development with the dual goals of mitigating cardiometabolic diseases while reducing climate change through cross-sector collaboration, governance, and community engagement. This review demonstrates that cities represent crucial settings for implementing policies and interventions to simultaneously tackle the global epidemics of cardiovascular disease and climate change.
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Contaminación del Aire , Salud Urbana , Humanos , Ciudades/epidemiología , Contaminación del Aire/efectos adversosRESUMEN
Prostate cancer (PCa) incidence, morbidity, and mortality rates are significantly impacted by racial disparities. Despite innovative therapeutic approaches and advancements in prevention, men of African American (AA) ancestry are at a higher risk of developing PCa and have a more aggressive and metastatic form of the disease at the time of initial PCa diagnosis than other races. Research on PCa has underlined the biological and molecular basis of racial disparity and emphasized the genetic aspect as the fundamental component of racial inequality. Furthermore, the lower enrollment rate, limited access to national-level cancer facilities, and deferred treatment of AA men and other minorities are hurdles in improving the outcomes of PCa patients. This review provides the most up-to-date information on various biological and molecular contributing factors, such as the single nucleotide polymorphisms (SNPs), mutational spectrum, altered chromosomal loci, differential gene expression, transcriptome analysis, epigenetic factors, tumor microenvironment (TME), and immune modulation of PCa racial disparities. This review also highlights future research avenues to explore the underlying biological factors contributing to PCa disparities, particularly in men of African ancestry.
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Maternal mortality is unusually high in the United States compared to other wealthy nations and is characterized by major disparities in race/ethnicity, geography, and socioeconomic factors. Similar to other developed nations, the United States has seen a shift in the underlying causes of pregnancy-related death, with a relative increase in mortality resulting from diseases of the cardiovascular system and preexisting medical conditions. Improved continuity of care aimed at identifying reproductive-age women with preexisting conditions that may heighten the risk of maternal death, preconception management of risk factors for major adverse pregnancy outcomes, and primary care visits within the first year after delivery may offer opportunities to address gaps in medical care contributing to the unacceptable rates of maternal mortality in the United States.
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Etnicidad , Mortalidad Materna , Embarazo , Humanos , Femenino , Estados Unidos/epidemiología , Factores de RiesgoRESUMEN
Why and how organismal lineages radiate is commonly studied through either assessing abiotic factors (biogeography, geomorphological processes, climate) or biotic factors (traits, interactions). Despite increasing awareness that both abiotic and biotic processes may have important joint effects on diversification dynamics, few attempts have been made to quantify the relative importance and timing of these factors, and their potentially interlinked direct and indirect effects, on lineage diversification. We here combine assessments of historical biogeography, geomorphology, climatic niche, vegetative and floral trait evolution to test whether these factors jointly, or in isolation, explain diversification dynamics of a Neotropical plant clade (Merianieae, Melastomataceae). After estimating ancestral areas and the changes in niche and trait disparity over time, we employ Phylogenetic Path Analyses as a synthesis tool to test eleven hypotheses on the individual direct and indirect effects of these factors on diversification rates. We find strongest support for interlinked effects of colonization of the uplifting Andes during the mid-Miocene and rapid abiotic climatic niche evolution in explaining a burst in diversification rate in Merianieae. Within Andean habitats, later increases in floral disparity allowed for the exploitation of wider pollination niches (i.e., shifts from bee to vertebrate pollinators), but did not affect diversification rates. Our approach of including both vegetative and floral trait evolution, rare in assessments of plant diversification in general, highlights that the evolution of woody habit and larger flowers preceded the colonization of the Andes, but was likely critical in enabling the rapid radiation in montane environments. Overall, and in concert with the idea that ecological opportunity is a key element of evolutionary radiations, our results suggest that a combination of rapid niche evolution and trait shifts were critical for the exploitation of newly available niche space in the Andes in the mid-Miocene. Further, our results emphasize the importance of incorporating both abiotic and biotic factors into the same analytical framework if we aim to quantify the relative and interlinked effects of these processes on diversification.
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Rationale: The share of Black or Latinx residents in a census tract remains associated with asthma-related emergency department (ED) visit rates after controlling for socioeconomic factors. The extent to which evident disparities relate to the within-city heterogeneity of long-term air pollution exposure remains unclear. Objectives: To investigate the role of intraurban spatial variability of air pollution in asthma acute care use disparity. Methods: An administrative database was used to define census tract population-based incidence rates of asthma-related ED visits. We estimate the associations between census tract incidence rates and 1) average fine and coarse particulate matter, nitrogen dioxide (NO2), and sulfur dioxide (SO2), and 2) racial and ethnic composition using generalized linear models controlling for socioeconomic and housing covariates. We also examine for the attenuation of incidence risk ratios (IRRs) associated with race/ethnicity when controlling for air pollution exposure. Measurements and Main Results: Fine and coarse particulate matter and SO2 are all associated with census tract-level incidence rates of asthma-related ED visits, and multipollutant models show evidence of independent risk associated with coarse particulate matter and SO2. The association between census tract incidence rate and Black resident share (IRR, 1.51 [credible interval (CI), 1.48-1.54]) is attenuated by 24% when accounting for air pollution (IRR, 1.39 [CI, 1.35-1.42]), and the association with Latinx resident share (IRR, 1.11 [CI, 1.09-1.13]) is attenuated by 32% (IRR, 1.08 [CI, 1.06-1.10]). Conclusions: Neighborhood-level rates of asthma acute care use are associated with local air pollution. Controlling for air pollution attenuates associations with census tract racial/ethnic composition, suggesting that intracity variability in air pollution could contribute to neighborhood-to-neighborhood asthma morbidity disparities.
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Contaminación del Aire , Asma , Servicio de Urgencia en Hospital , Material Particulado , Humanos , Asma/epidemiología , Asma/etnología , Contaminación del Aire/efectos adversos , Contaminación del Aire/estadística & datos numéricos , Servicio de Urgencia en Hospital/estadística & datos numéricos , Material Particulado/efectos adversos , Masculino , Femenino , Hispánicos o Latinos/estadística & datos numéricos , Adulto , Incidencia , Negro o Afroamericano/estadística & datos numéricos , Características del Vecindario/estadística & datos numéricos , Etnicidad/estadística & datos numéricos , Dióxido de Azufre , Persona de Mediana Edad , Exposición a Riesgos Ambientales/efectos adversos , Exposición a Riesgos Ambientales/estadística & datos numéricos , Dióxido de Nitrógeno/efectos adversos , Características de la Residencia/estadística & datos numéricos , Estados Unidos/epidemiologíaRESUMEN
High COVID-19 mortality among Black communities heightened the pandemic's devastation. In the state of Louisiana, the racial disparity associated with COVID-19 mortality was significant; Black Americans accounted for 50% of known COVID-19-related deaths while representing only 32% of the state's population. In this paper, we argue that structural racism resulted in a synergistic framework of cumulatively negative determinants of health that ultimately affected COVID-19 deaths in Louisiana Black communities. We identify the spatial distribution of social, environmental, and economic stressors across Louisiana parishes using hot spot analysis to develop aggregate stressors. Further, we examine the correlation between stressors, cumulative health risks, COVID-19 mortality, and the size of Black populations throughout Louisiana. We hypothesized that parishes with larger Black populations (percentages) would have larger stressor values and higher cumulative health risks as well as increased COVID-19 mortality rates. Our results suggest two categories of parishes. The first group has moderate levels of aggregate stress, high population densities, predominately Black populations, and high COVID-19 mortality. The second group of parishes has high aggregate stress, lower population densities, predominantly Black populations, and initially low COVID-19 mortality that increased over time. Our results suggest that structural racism and inequities led to severe disparities in initial COVID-19 effects among highly populated Black Louisiana communities and that as the virus moved into less densely populated Black communities, similar trends emerged.
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Negro o Afroamericano , COVID-19 , Equidad en Salud , Disparidades en Atención de Salud , COVID-19/mortalidad , Disparidades en Atención de Salud/etnología , Humanos , Louisiana/epidemiología , Densidad de Población , Factores RacialesRESUMEN
The sex disparity in outcomes of patients with cardiovascular disease is well-described and has persisted across recent decades. While there have been several proposed mechanisms to explain this disparity, there are limited data on female patient-physician sex concordance and its association with outcomes. The authors review the existing literature on the relationship between patient-physician sex concordance and clinical outcomes in patients with cardiovascular disease, the evidence of a benefit in clinical outcomes with female patient-physician sex concordance, and the possible drivers of such a benefit and highlight directions for future study.
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Enfermedades Cardiovasculares , Relaciones Médico-Paciente , Humanos , Femenino , Masculino , Factores Sexuales , Resultado del TratamientoRESUMEN
Many vulnerable people lose their health or lives each year as a result of unhealthy environmental conditions that perpetuate medical conditions within the scope of allergy and immunology specialists' expertise. While detrimental environmental factors impact all humans globally, the effect is disproportionately more profound in impoverished neighborhoods. Environmental injustice is the inequitable exposure of disadvantaged populations to environmental hazards. Professional medical organizations such as the American Academy of Allergy, Asthma & Immunology (AAAAI) are well positioned to engage and encourage community outreach volunteer programs to combat environmental justice. Here we discuss how environmental injustices and climate change impacts allergic diseases among vulnerable populations. We discuss pathways allergists/immunologists can use to contribute to addressing environmental determinants by providing volunteer clinical service, education, and advocacy. Furthermore, allergists/immunologists can play a role in building trust within these communities, partnering with other patient advocacy nonprofit stakeholders, and engaging with local, state, national, and international nongovernmental organizations, faith-based organizations, and governments. The AAAAI's Volunteerism Addressing Environmental Disparities in Allergy (VAEDIA) is the presidential task force aiming to promote volunteer initiatives by creating platforms for discussion and collaboration and by funding community-based projects to address environmental injustice.
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Alergia e Inmunología , Hipersensibilidad , Voluntarios , Humanos , Comités Consultivos , Alergia e Inmunología/educación , Cambio Climático , Exposición a Riesgos Ambientales/efectos adversos , Hipersensibilidad/inmunología , Justicia Social , Estados UnidosRESUMEN
Long overlooked in neuroscience research, sex and gender are increasingly included as key variables potentially impacting all levels of neurobehavioral analysis. Still, many neuroscientists do not understand the difference between the terms "sex" and "gender," the complexity and nuance of each, or how to best include them as variables in research designs. This TechSights article outlines rationales for considering the influence of sex and gender across taxa, and provides technical guidance for strengthening the rigor and reproducibility of such analyses. This guidance includes the use of appropriate statistical methods for comparing groups as well as controls for key covariates of sex (e.g., total intracranial volume) and gender (e.g., income, caregiver stress, bias). We also recommend approaches for interpreting and communicating sex- and gender-related findings about the brain, which have often been misconstrued by neuroscientists and the lay public alike.
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Investigación Conductal , Neurociencias , Femenino , Masculino , Humanos , Reproducibilidad de los Resultados , EncéfaloRESUMEN
BACKGROUND: Generalizability of predictive models for pathological complete response (pCR) and overall survival (OS) in breast cancer patients requires diverse datasets. This study employed four machine learning models to predict pCR and OS up to 7.5 years using data from a diverse and underserved inner-city population. METHODS: Demographics, staging, tumor subtypes, income, insurance status, and data from radiology reports were obtained from 475 breast cancer patients on neoadjuvant chemotherapy in an inner-city health system (01/01/2012 to 12/31/2021). Logistic regression, Neural Network, Random Forest, and Gradient Boosted Regression models were used to predict outcomes (pCR and OS) with fivefold cross validation. RESULTS: pCR was not associated with age, race, ethnicity, tumor staging, Nottingham grade, income, and insurance status (p > 0.05). ER-/HER2+ showed the highest pCR rate, followed by triple negative, ER+/HER2+, and ER+/HER2- (all p < 0.05), tumor size (p < 0.003) and background parenchymal enhancement (BPE) (p < 0.01). Machine learning models ranked ER+/HER2-, ER-/HER2+, tumor size, and BPE as top predictors of pCR (AUC = 0.74-0.76). OS was associated with race, pCR status, tumor subtype, and insurance status (p < 0.05), but not ethnicity and incomes (p > 0.05). Machine learning models ranked tumor stage, pCR, nodal stage, and triple-negative subtype as top predictors of OS (AUC = 0.83-0.85). When grouping race and ethnicity by tumor subtypes, neither OS nor pCR were different due to race and ethnicity for each tumor subtype (p > 0.05). CONCLUSION: Tumor subtypes and imaging characteristics were top predictors of pCR in our inner-city population. Insurance status, race, tumor subtypes and pCR were associated with OS. Machine learning models accurately predicted pCR and OS.
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Neoplasias de la Mama , Humanos , Femenino , Neoplasias de la Mama/epidemiología , Neoplasias de la Mama/genética , Neoplasias de la Mama/terapia , Etnicidad , Aprendizaje Automático , Terapia Neoadyuvante , Redes Neurales de la ComputaciónRESUMEN
We conducted an epidemiologic assessment of disease distribution by race/ethnicity to identify subpopulation-specific drivers of tuberculosis (TB). We used detailed racial/ethnic categorizations for the 932 TB cases diagnosed in Arkansas, USA, during 2010-2021. After adjusting for age and sex, racial/ethnic disparities persisted; the Native Hawaiian/Pacific Islander (NHPI) group had the highest risk for TB (risk ratio 173.6, 95% CI 140.6-214.2) compared with the non-Hispanic White group, followed by Asian, Hispanic, and non-Hispanic Black. Notable racial/ethnic disparities existed across all age groups; NHPI persons 0-14 years of age were at a particularly increased risk for TB (risk ratio 888, 95% CI 403-1,962). The risks for sputum smear-positive pulmonary TB and extrapulmonary TB were both significantly higher for racial/ethnic minority groups. Our findings suggest that TB control in Arkansas can benefit from a targeted focus on subpopulations at increased risk for TB.
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Etnicidad , Tuberculosis , Humanos , Arkansas/epidemiología , Incidencia , Grupos Minoritarios , Tuberculosis/epidemiologíaRESUMEN
In the last two decades, colorectal cancer (CRC) mortality has been decreasing in the United States. However, the mortality trends for the different subtypes of CRC, including different sides of colon, rectosigmoid, and rectal cancer remain unclear. We analyzed the mortality trends of different subtypes of CRC based on Centers for Disease Control and Prevention's Wide-Ranging Online Data for Epidemiologic Research data from 1999 to 2020. We calculated age-adjusted mortality rates (AAMR) per 100,000 individuals and examined the trends over time by estimating the average annual percent change (AAPC) using the Joinpoint Regression Program. Our study shows that the overall CRC rates decreased significantly from 26.42 to 15.98 per 100,000 individuals, with an AAPC of -2.41. However, the AAMR of rectosigmoid cancer increased significantly from 0.82 to 1.08 per 100,000 individuals, with the AAPC of +1.10. Men and Black individuals had the highest AAMRs respectively (23.90 vs. 26.93 per 100,000 individuals). The overall AAMR of CRC decreased for those aged ≥50 years but increased significantly from 1.02 to 1.58 per 100,000 individuals for those aged 15-49 years, with an AAPC of +0.75. Rural populations had a higher AAMR than the urban populations (22.40 vs. 19.60 per 100,000 individuals). Although overall CRC mortality declined, rising trends in young-onset CRC and rectosigmoid cancer warrant attention. Disparities persist in terms of sex, race, and geographic region, and urbanization level, emphasizing the need for targeted public health measures.
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Neoplasias Colorrectales , Mortalidad , Humanos , Neoplasias Colorrectales/mortalidad , Neoplasias Colorrectales/epidemiología , Estados Unidos/epidemiología , Masculino , Persona de Mediana Edad , Femenino , Anciano , Adulto , Mortalidad/tendencias , Adulto Joven , Adolescente , Anciano de 80 o más AñosRESUMEN
Technological advancements in cell-free DNA (cfDNA) liquid biopsy have triggered exponential growth in numerous clinical applications. While cfDNA-based liquid biopsy has made significant strides in personalizing cancer treatment, the exploration and translation of epigenetics in liquid biopsy to clinical practice is still nascent. This comprehensive review seeks to provide a broad yet in-depth narrative of the present status of epigenetics in cfDNA liquid biopsy and its associated challenges. It highlights the potential of epigenetics in cfDNA liquid biopsy technologies with the hopes of enhancing its clinical translation. The momentum of cfDNA liquid biopsy technologies in recent years has propelled epigenetics to the forefront of molecular biology. We have only begun to reveal the true potential of epigenetics in both our understanding of disease and leveraging epigenetics in the diagnostic and therapeutic domains. Recent clinical applications of epigenetics-based cfDNA liquid biopsy revolve around DNA methylation in screening and early cancer detection, leading to the development of multi-cancer early detection tests and the capability to pinpoint tissues of origin. The clinical application of epigenetics in cfDNA liquid biopsy in minimal residual disease, monitoring, and surveillance are at their initial stages. A notable advancement in fragmentation patterns analysis has created a new avenue for epigenetic biomarkers. However, the widespread application of cfDNA liquid biopsy has many challenges, including biomarker sensitivity, specificity, logistics including infrastructure and personnel, data processing, handling, results interpretation, accessibility, and cost effectiveness. Exploring and translating epigenetics in cfDNA liquid biopsy technology can transform our understanding and perception of cancer prevention and management. cfDNA liquid biopsy has great potential in precision oncology to revolutionize conventional ways of early cancer detection, monitoring residual disease, treatment response, surveillance, and drug development. Adapting the implementation of liquid biopsy workflow to the local policy worldwide and developing point-of-care testing holds great potential to overcome global cancer disparity and improve cancer outcomes.
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U.S. Asian adults and people with limited English proficiency (LEP) confront mental health treatment receipt disparities. At the intersection of racial and language injustice, Asian adults with LEP may face even greater disparity, but studies have not assessed this through explicitly intersectional approaches. Using 2019 and 2020 National Survey of Drug Use and Health data, we computed disparities in mental health treatment among those with mental illness comparing: Non-Hispanic (NH) Asian adults with LEP to NH White adults without LEP (joint disparity), NH Asian adults without LEP to NH White adults without LEP (referent race disparity), NH Asian adults with LEP to those without LEP (referent LEP disparity), and the joint disparity versus the sum of referent disparities (excess intersectional disparity). In age- and gender-adjusted analyses, excess intersectional disparity was 26.8% (95% CI=-29.8%-83.4%) of the joint disparity in 2019 and 63.0% (95% CI=29.1%-96.8%) in 2020. The 2019 joint disparity was 1.37 (95% CI=0.31-2.42) times that if the race-related disparity did not vary by LEP, and if LEP-related disparity did not vary by race; this figure was 2.70 (95% CI=0.23-5.17) in 2020. These findings highlight the necessity of considering the intersection of race and LEP in addressing mental health treatment disparities.
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Adherence to healthy lifestyle is essential for diabetes management in light of the plateaued metabolic control, diversifying causes of death, and continued excess mortality among people with diabetes (PWD). This study aims to assess the secular trend of adherence to healthy behaviors among PWD in NHANES, a nationally representative survey of Americans using a stratified, multistage probability design in 2-year cycles since 1999. Adherence to healthy lifestyle was estimated using never smoking, moderate drinking, adequate physical activity, and healthy diet, and the score ranged 0-4. Among 7410 participants, adherence to healthy behaviors across time slightly increased from 1.4 (95% CI, 1.3 to 1.5) in 1999-2002 to 1.6 (1.5 to 1.8) in 2015-2018 (Ptrend = 0.002). The non-Hispanic Blacks caught up with the non-Hispanic Whites in overall lifestyle score (1.7 vs. 1.6 in 2015-2018), while large socioeconomic disparities remained in that participants with higher income and education level, and covered by health insurance were more likely to have adherence to healthy behaviors. As the metabolic control plateaued and causes of death have diversified among PWD, our findings suggested a great potential of lifestyle modification in facilitating the long-term health of these patients.
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Our objective was to assess the relationship of socioeconomic disadvantage and race/ethnicity with low-risk cesarean birth. We examined birth certificates (2007-18) linked with maternal hospitalization data from California; the outcome was cesarean birth among low-risk deliveries (i.e., nulliparous, term, singleton, vertex [NTSV]). We used GEE Poisson regression with an interaction term for race/ethnicity (7 groups) and a measure of socioeconomic disadvantage (census tract-level neighborhood deprivation index [NDI], education, or insurance). Among 1,815,933 NTSV births, 26.6% were cesarean. When assessing the joint effect of race/ethnicity and socioeconomic disadvantage among low-risk births, risk of cesarean birth increased with socioeconomic disadvantage for most racial/ethnic groups, and disadvantaged Black individuals had the highest risks; e.g., Black individuals with a high school education or less had a risk ratio of 1.49 (95% CI 1.45-1.53), relative to White individuals with a college degree. The disparity in risk of cesarean birth between Black and White individuals was observed across all strata of socioeconomic disadvantage. Asian American and Hispanic individuals had higher risks than White individuals at lower socioeconomic disadvantage; this disparity was not observed at higher levels of disadvantage. Black individuals have a persistent, elevated risk of cesarean birth, relative to White individuals, regardless of socioeconomic disadvantage.
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Social determinants of health (SDOH) encompass the social environmental factors and lived experiences that collectively shape an individual's health. Recently, the polysocial score approach has been introduced as an innovative method for capturing the cumulative impact of a broad spectrum of social factors. This approach offers a promising opportunity to complement and enhance conventional methodologies in the advancement of SDOH research. In this issue of the Journal, Jawadekar et al. (Am J Epidemiol. XXXX;XXX(XX):XX-X-XXXX) evaluated the value of the polysocial score for predicting cognitive performance and mortality among middle-aged and older adults. Models built on a smaller set of social determinants, including race, gender, and education, performed comparably to the polysocial score models where a more complex set of social factors were included. In this invited commentary, I welcome the evaluation of the predictive ability of the polysocial score and the discussion of its merits and limitations. I also summarize the practical utility of the polysocial score in predicting health outcomes and its mechanistic significance in unveiling the relationship between genetics, social environment, and lifestyles in shaping an individual's health and elucidate health disparities. Lastly, I propose several avenues for future research.