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OBJECTIVE: Severe maternal morbidity (SMM) is increasing and characterized by substantial racial and ethnic disparities. Analyzing trends and disparities across time by etiologic or organ system groups instead of an aggregated index may inform specific, actionable pathways to equitable care. We explored trends and racial and ethnic disparities in seven SMM categories at childbirth hospitalization. STUDY DESIGN: We analyzed California birth cohort data on all live and stillbirths ≥ 20 weeks gestation from 1997 to 2017 (n = 10,580,096) using the Centers for Disease Control and Preventions SMM index. Cases were categorized into seven nonmutually exclusive indicator categories (cardiac, renal, respiratory, hemorrhage, sepsis, other obstetric, and other medical SMM). We compared prevalence and trends in SMM indicator categories overall and by racial and ethnic group using logistic and linear regression. RESULTS: SMM occurred in 1.16% of births and nontransfusion SMM in 0.54%. Hemorrhage SMM occurred most frequently (27 per 10,000 births), followed by other obstetric (11), respiratory (7), and sepsis, cardiac, and renal SMM (5). Hemorrhage, renal, respiratory, and sepsis SMM increased over time for all racial and ethnic groups. The largest disparities were for Black individuals, including over 3-fold increased odds of other medical SMM. Renal and sepsis morbidity had the largest relative increases over time (717 and 544%). Sepsis and hemorrhage SMM had the largest absolute changes over time (17 per 10,000 increase). Disparities increased over time for respiratory SMM among Black, U.S.-born Hispanic, and non-U.S.-born Hispanic individuals and for sepsis SMM among Asian or Pacific Islander individuals. Disparities decreased over time for sepsis SMM among Black individuals yet remained substantial. CONCLUSION: Our research further supports the critical need to address SMM and disparities as a significant public health priority in the United States and suggests that exami

The health of Asian Americans, Native Hawaiians, and Pacific Islanders (AANHPI) is uniquely impacted by structural and social determinants of health (SSDH) shaped by immigration policies and colonization practices, patterns of settlement, and racism. These SSDH also create vast heterogeneity in disease risks across the AANHPI population, with some ethnic groups having high disease burden, often masked with aggregated data. Longitudinal cohort studies are an invaluable tool to identify risk factors of disease, and epidemiologic cohort studies among AANHPI populations have led to seminal discoveries of disease risk factors. This review summarizes the limited but growing literature, with a focus on SSDH factors, from seven longitudinal cohort studies with substantial AANHPI samples. We also discuss key information gaps and recommendations for the next generation of AANHPI cohorts, including oversampling AANHPI ethnic groups; measuring and innovating on measurements of SSDH; emphasizing the involvement of scholars from diverse disciplines; and, most critically, engaging community members to ensure relevancy for public health, policy, and clinical impact.

Activation-induced cytidine deaminase (AID) is a B cell-specific mutator required for antibody diversification. However, it is also implicated in the etiology of several B cell malignancies. Evaluating the AID-induced mutation load in patients at-risk for certain blood cancers is critical in assessing disease severity and treatment options. We have developed a digital PCR (dPCR) assay that allows us to quantify mutations resulting from AID modification or DNA double-strand break (DSB) formation and repair at sites known to be prone to DSBs. Implementation of this assay shows that increased AID levels in immature B cells increase genome instability at loci linked to chromosomal translocation formation. This includes the CRLF2 locus that is often involved in translocations associated with a subtype of acute lymphoblastic leukemia (ALL) that disproportionately affects Hispanics, particularly those with Latin American ancestry. Using dPCR, we characterize the CRLF2 locus in B cell-derived genomic DNA from both Hispanic ALL patients and healthy Hispanic donors and found increased mutations in both, suggesting that vulnerability to DNA damage at CRLF2 may be driving this health disparity. Our ability to detect and quantify these mutations will potentiate future risk identification, early detection of cancers, and reduction of associated cancer health disparities.

COVID-19 brought significant changes to the role of school nurses, necessitating the development of remote health education programs. However, there is a lack of evidence and pedagogical lessons for digitally transforming education for socially vulnerable children. This qualitative study analyzes the health educational needs and barriers faced by children and service providers in a childcare-based obesity prevention program during the pandemic in South Korea. Through a thematic content analysis, four core themes emerged: (a) heightened concerns about obesity and the pandemic's impact on facilities, (b) unexpected positive outcomes of the program, (c) digital readiness gaps, and (d) insufficient program satisfaction (better than nothing). When designing a digital-based health education program for vulnerable children, assessing individual readiness and facility suitability is crucial. Additionally, school nurses should incorporate hybrid pedagogy, integrating technology-mediated activities. By leveraging technology effectively and considering individual and environmental factors, educators can provide comprehensive and accessible health education.

There are wide disparities in neonatal mortality rates (NMRs, deaths <28 days of life after live birth per 1000 live births) between countries in Europe, indicating potential for improvement. Comparing country-specific patterns of births and deaths with countries with low mortality rates can facilitate the development of effective intervention strategies., info:eu-repo/semantics/published

Prenatal care is intended to preserve and improve maternal and child health; however, the quality of this service and the attendance rates vary, with developing countries having the lowest rates. There are cultural gaps that prevent adequate access to prenatal care, putting the maternal and child health at risk. Our objective was to carry out an updated review on cultural gaps and their impact on prenatal care. This narrative review was conducted by searching all articles published until December 17, 2022, in English databases such as PubMed and Scopus, and Spanish databases such as SciELO. There are various situations that force pregnant women not to attend prenatal appointment, including machismo, reported as a common cause of non-attendance to prenatal checkups in developing countries and especially in rural communities; poor education in families, so women do not attend prenatal checkups due to ignorance about pregnancy care and risks, as well as their beliefs and customs about pregnancy; difficulty accessing health care services due to geographic issues; mistreatment from health professionals while receiving prenatal care or lack of inclusion in the health center; immigration status and the resulting problems with access to health care. Recognizing these situations is as important as knowing their consequences since, once identified, different solution alternatives can be sought from the primary health care. Health personnel must be trained to help the population understand the importance of prenatal care by knowing and respecting the customs and traditions of each patient, and not undermining their ideologies., La atención prenatal tiene como fin preservar y mejorar la salud de la madre y del producto de su gestación, pero la calidad de este servicio y las tasas de asistencias son variables, siendo los países subdesarrollados los que presentan las tasas más bajas. Existen brechas culturales que impiden el adecuado acceso a los cuidados prenatales, y ello pone en riesgo la salud del binomio madre e hijo. El objetivo fue realizar una revisión actualizada sobre las brechas culturales y su repercusión en la atención prenatal. Para la ejecución de la revisión narrativa, se efectuó una búsqueda en las bases de datos en inglés de Pubmed y Scopus, y en español, de Scielo, de todos los artículos que fueron publicados hasta el 17 de diciembre del 2022. Existen diversas situaciones por las cuales las gestantes no acuden a su cita prenatal; entre ellas, destacan el machismo, que ha sido reportado como una causa común de inasistencia a los controles prenatales en países subdesarrollados y, sobre todo, en comunidades rurales; la falta de educación en las familias, razón por la cual las mujeres no asisten a los controles prenatales por ignorancia sobre el cuidado y riesgos del embarazo, así como por sus creencias y costumbres sobre su proceso; las dificultades geográficas para llegar al centro de salud; el maltrato en la atención prenatal, sea por parte del profesional de la salud o por falta de inclusión en el centro de salud; el estado migratorio y el problema de acceso a la salud que esto representa. Reconocer estas situaciones es tan importante como saber sus consecuencias; una vez identificadas, se pueden buscar diferentes alternativas de solución desde el primer nivel de atención. El personal de salud debe capacitarse con el fin de ayudar a la población a entender la importancia del control prenatal, y para ello debe conocer y respetar las costumbres y tradiciones de cada paciente, sin menoscabar sus ideologías.

Introduction: Annually,1,35 million lives are lost due to road accidents; their occurrence has been related, in addition to behavioral factors, to social inequalities. Objective: To analyze urban-rural social inequalities in mortality from traffic accidents in Colombia from 1998-2019. Methods and materials:Ecological study based on the analysis of standardized mortality rates adjusted for age and sex of urban and rural population groups stratified by sex. Joinpoint regression analyses were performed, and absolute and relative simple inequality measures were calculated. Results: There were 139.323 deaths from road accidents; in Colombia mortality rates from this cause has been decreasing. In urban areas, the reduction is more significant than in rural areas. Disparities in mortality between urban and rural areas have been narrowing, however, in the case of men and women, they have been increasing. Discussion: Reducing the mortality rate from road accidents suggests that road safety interventions have been effective. Behavioral factors can explain the higher mortality in men. Urban-rural inequalities can be related to development dynamics. Conclusions: There is a significant reduction in the mortality rate due to road accidents in urban areas. There are urban-rural inequalities in mortality from this cause. Road safety policies must be based on an integrative approach linked to other political agendas., Introducción: anualmente se pierden 1,35 millones de vidas por causa de siniestros viales; su ocurrencia se ha relacionado, además de factores comportamentales, con desigualdades sociales. Objetivo: analizar las desigualdades sociales urbano-rurales en la mortalidad por siniestros viales en Colombia para el periodo 1998-2019. Materiales y métodos: estudio ecológico a partir del análisis de las tasas de mortalidad ajustadas de los grupos poblacionales urbanos y rurales estratificados por sexo. Se hicieron análisis con regresión de Joinpoint y se calcularon medidas de desigualdad simple absoluta y relativa. Resultados: se registraron 139323 muertes por siniestros viales, en Colombia la tasa de mortalidad por esta causa se ha venido reduciendo. En contraste con las áreas rurales, en las áreas urbanas esta reducción es más significativa. Existen desigualdades en la mortalidad entre las áreas urbanas y rurales que han venido estrechándose. No obstante, en el caso de hombres y mujeres ha venido incrementándose. Discusión: la reducción de la tasa de mortalidad por siniestros viales sugiere que las intervenciones en seguridad vial han sido efectivas. La mayor mortalidad en hombres puede explicarse a partir de factores comportamentales. Las desigualdades urbano-rurales pueden estar relacionadas con las dinámicas de desarrollo. Conclusiones: se registra una reducción en la tasa de mortalidad por siniestros viales, la cual es más significativa en áreas urbanas. Existen desigualdades urbano-rurales en la mortalidad por esta causa. Las políticas de seguridad vial deben partir de un enfoque integrador vinculado con otras agendas políticas.

Background: Urgent daily hassles, which are more common among people with a lower socioeconomic position (SEP), might limit one’s ability to address less pressing goals, such as goals related to health promotion. Consequently, health goals may be viewed as less focal, which could jeopardize one’s health. This study examined an understudied pathway: whether a higher severity of daily hassles resulted in a lower perceived importance of health and whether these two factors sequentially mediate socioeconomic inequalities in self-assessed health (SAH) and food consumption. Methods: A cross-sectional survey among 1,330 Dutch adults was conducted in 2019. Participants self-reported SEP (household income, educational level), the severity of eleven daily hassles (e.g., financial hassles, legal hassles), the perceived importance of health (not being ill, living a long life), SAH, and food consumption. Structural equation modeling was used to examine whether daily hassles and the perceived importance of health sequentially mediated income and educational inequalities in SAH, fruit and vegetable consumption (FVC) and snack consumption. Results: No evidence of sequential mediation through daily hassles and the perceived importance of health was found. Daily hassles individually mediated income inequalities in SAH (indirect effect: 0.04, total effect: 0.06) and in FVC (indirect effect: 0.02, total effect: 0.09). The perceived importance of not being ill and living a long life both individually mediated educational inequalities in SAH (indirect effects: 0.01 and -0.01, respectively, total effect: 0.07). Conclusions: Income inequalities in SAH and FVC were explained by daily hassles, and educational inequalities in SAH were explained by the perceived importance of health. Socioeconomic inequalities may not be sequentially explained by a more severe experience of daily hassles and a lower perceived importance of health. Interventions and policies addressing challenging circumstan

Objectives: To estimate the evolution of the incidence and prevalence of hearing loss in the elderly in low-, middle- and high-income countries by means of system dynamics simulation according to global parameters and to analyze the influence of the implementation of health strategies. Methods: A causal loop diagram was developed to relate the incidence, prevalence and treatment of hearing loss to the level of inequality, risk factors (RF), use of hearing aids (HA), audiologist and otolaryngologist (ENT) workforce by country income level. A flow chart was then constructed to run the simulations over a 100-year period. In addition, four simulations were run with health strategies (reduction of RF, improvement in HA use, increase in the number of audiologists and ENT specialists) and the percentage change from the baseline model was estimated. Results: Low-income countries showed a higher incidence and prevalence of hearing loss, less access to adequate treatment, and a higher prevalence of untreated or inadequately treated hearing loss. The reduction of RF increased the population with normal hearing by 15% and 33% over the next 50 and 100 years, respectively. In addition, the improvement in the use of ha achieved a 60% reduction in the population with inadequate or untreated treatment, and the increase in audiologists and ENT specialists improved the access to adequate treatment by 250%. Conclusions: The evolution of hearing health is conditioned by economic factors, where the most disadvantaged environments show worse indicators. In addition, the implementation of combined strategies would favor hearing health in the future. System dynamics is a very useful methodology for health managers because it enables to understand how a disease evolves and define what are the best health interventions considering different scenarios., Objetivos: Aplicar a dinâmica do sistema para estimar a evolução da incidência e prevalência da perda auditiva em pessoas idosas em países de baixo, médio e alto rendimento, bem como o acesso ao tratamento, e avaliar a influência da implementação de estratégias de saúde sobre estes indicadores. Métodos: As análises foram conduzidas utilizando simulação da dinâmica do sistema com base em parâmetros globais. Para tal, foi desenvolvido um diagrama do laço causal, integrando a incidência, prevalência e tratamento da perda auditiva com o nível de desigualdade, fatores de risco, utilização de aparelhos auditivos, mão-de-obra de audiologistas e otorrinolaringologistas por nível de rendimento nacional. Foi então construído um fluxograma para executar as simulações ao longo de um período de 100 anos. Além disso, foram realizadas quatro simulações com estratégias de saúde (reduzindo os fatores de risco, melhorando a utilização de aparelhos auditivos, aumentando o número de audiologistas e otorrinolaringologistas) e foi estimada a mudança percentual em relação ao modelo de base. Resultados: Os países de baixos rendimentos mostraram maior incidência e prevalência de perda auditiva, menor acesso a tratamento apropriado e maior prevalência de perda auditiva não tratada ou tratada de forma inadequada. A redução dos fatores de risco aumentou a população com audição normal em 15 e 33% durante os próximos 50 e 100 anos, respectivamente. Além disso, uma melhor utilização de aparelhos auditivos permitiu uma redução de 60% na população mal tratada ou não tratada, e o aumento do número de audiologistas e especialistas em ORL aumentou em 250% o acesso ao tratamento adequado. Conclusões: A evolução da saúde auditiva é condicionada por fatores económicos, com os ambientes mais desfavorecidos a apresentarem indicadores piores. Além disso, a implementação de estratégias combinadas favoreceria a saúde auditiva no futuro., Objetivos: Aplicar la dinámica de sistemas para estimar la evolución de la incidencia y la prevalencia de hipoacusia en personas mayores en países de bajos, medios y altos ingresos, así como el acceso al tratamiento, y evaluar la influencia de la implementación de estrategias sanitarias sobre estos indicadores. Métodos: Los análisis se realizaron mediante simulación con dinámica de sistemas según parámetros globales. Para ello, se desarrolló un diagrama de bucles causal, integrando la incidencia, la prevalencia y el tratamiento de hipoacusia con el nivel de desigualdad, factores de riesgo, uso de dispositivos de ayuda auditiva, fuerza laboral de audiólogos y otorrinolaringólogos según el nivel de ingresos del país. Luego, se construyó un diagrama de flujo para ejecutar las simulaciones durante un período de 100 años. Además, se ejecutaron cuatro simulaciones con estrategias sanitarias (reducción de factores de riesgo, mejora en el uso dispositivos de ayuda auditiva, aumento del número de audiólogos y otorrinolaringólogos) y se estimó el porcentaje de cambio respecto al modelo basal. Resultados: Los países de bajos ingresos mostraron una mayor incidencia y prevalencia de hipoacusia, menor acceso a tratamiento adecuado y una mayor prevalencia de hipoacusia sin tratar o con tratamiento inadecuado. La reducción de factores de riesgo creció en un 15 y 33 % la población con audición normal en los próximos 50 y 100 años, respectivamente. Además, la mejora en el uso de dispositivos de ayuda auditiva logró una reducción del 60 % de la población con tratamientos inadecuados o sin tratamiento, y el aumento de audiólogos y otorrinolaringólogos incrementó un 250 % el acceso a un tratamiento adecuado. Conclusiones: La evolución de la salud auditiva está condicionada por factores económicos, donde los entornos más desfavorecidos muestran peores indicadores. Además, la implementación de estrategias combinadas favorecería la salud auditiva en el futuro.

Epilepsy affects 1% of youth and is associated with neurocognitive and psychosocial comorbidities, increased risk of mortality, and poor health-related outcomes. Health disparities in children and youth with epilepsy (CYE) have been understudied. A Special Interest Group (SIG) within the Pediatric Epilepsy Research Consortium is conducting a scoping review to systematically assess the literature and highlight the gaps in access to clinical care and management of pediatric epilepsy. The methodology for this review is presented. In conducting a peer-reviewed assessment of the scope of health disparities in pediatric epilepsy, we learned that developing the methodology for and conducting a comprehensive scoping review with multiple contributors resulted in a time-intensive process. While there is an evidence to suggest that health disparities do exist in CYE, very few studies have focused on these disparities. Disparity results are often not included in key elements of articles, lending them to be underemphasized and underrecognized. Preliminary conclusions inform several important research considerations.

BACKGROUND AND OBJECTIVES: Although mortality rates are highest for infants of teens aged 15 to 19, no studies have examined the long-term trends by race and ethnicity, urbanicity, or maternal age. The objectives of this study were to examine trends and differences in mortality for infants of teens by race and ethnicity and urbanicity from 1996 to 2019 and estimate the contribution of changes in the maternal age distribution and maternal age-specific (infant) mortality rates (ASMRs) to differences in infant deaths in 1996 and 2019. METHODS: We used 1996 to 2019 period-linked birth and infant death data from the United States to assess biennial mortality rates per 1000 live births. Pairwise comparisons of rates were conducted using z test statistics and Joinpoint Regression was used to examine trends. Kitagawa decomposition analysis was used to estimate the proportion of change in infant deaths because of changes in the maternal age distribution and ASMRs. RESULTS: From 1996 to 2019, the mortality rate for infants of teens declined 16.7%, from 10.30 deaths per 1000 live births to 8.58. The decline was significant across racial and ethnic and urbanization subgroups; however, within rural counties, mortality rates did not change significantly for infants of Black or Hispanic teens. Changes in ASMRs accounted for 93.3% of the difference between 1996 and 2019 infant mortality rates, whereas changes in the maternal age distribution accounted for 6.7%. CONCLUSIONS: Additional research into the contextual factors in rural counties that are driving the lack of progress for infants of Black and Hispanic teens may help inform efforts to advance health equity.

GoalsWe sought to determine whether race/ethnicity is associated with hospitalization outcomes among patients admitted with acute cholangitis.BackgroundFew studies have evaluated the association between race and outcomes in patients with acute cholangitis.StudyWe analyzed United States hospitalizations from 2009 to 2018 using the Nationwide Inpatient Sample (NIS). We included patients 18 years old or above admitted with an ICD9/10 diagnosis of cholangitis. Race/ethnicity was categorized as White, Black, Hispanic, or Other. We used multivariable regression to determine the association between race/ethnicity and in-hospital outcomes of interest, including endoscopic retrograde cholangiopancreatography (ERCP), early ERCP (<48 h from admission), length of stay (LOS), and in-hospital mortality.ResultsOf 116,889 hospitalizations for acute cholangitis, 70% identified as White, 10% identified as Black, 11% identified as Hispanic, and 9% identified as Other. The proportion of non-White patients increased over time. On multivariate analysis controlling for clinical and sociodemographic variables, compared with White patients, Black patients had higher in-hospital mortality (adjusted odds ratio: 1.4, 95% confidence interval: 1.2-1.6, P <0.001). Black patients were also less likely to undergo ERCP, more likely to undergo delayed ERCP, and had longer LOS ( P <0.001 for all).ConclusionsIn this contemporary cohort of hospitalized patients with cholangitis, Black race was independently associated with fewer and delayed ERCP procedures, longer LOS, and higher mortality rates. Future studies with more granular social determinants of health data should further explore the underlying reasons for these disparities to develop interventions aimed at reducing racial disparities in outcomes among patients with acute cholangitis.

BACKGROUND: Patients undergoing rotator cuff repairs commonly experience postoperative pain and functional limitations. Various socioeconomic and pain-related factors have been recognized as influential in the prognosis of such patients. This study aims to investigate the associations between postoperative pain and functionality and preoperative pain-related outcomes and socioeconomic status in patients undergoing rotator cuff repairs. METHODS: This cross-sectional study examines the relationship between the outcomes of rotator cuff repairs and participants’ socioeconomic status and pain-related measures. Socioeconomic status was assessed through indicators such as educational level, monthly household income, and occupation. Pain-related outcomes included measures of kinesiophobia and pain self-efficacy. RESULTS: A total of 105 patients (68 male, 37 female) were included in the analysis. The findings revealed no significant association between postoperative pain or functionality and the patients’ socioeconomic status (p > 0.05). However, postoperative pain levels demonstrated a significant association with preoperative kinesiophobia (p < 0.05) and pain self-efficacy (p < 0.013). In contrast, functionality did not exhibit a significant association with these measures (p < 0.072 and 0.217, respectively). CONCLUSIONS: Preoperative pain-related outcomes play a role in postoperative pain levels among patients undergoing rotator cuff repairs. However, they do not appear to be related to functionality. Additionally, socioeconomic status does not significantly impact either pain or functionality.

Despite a growing evidence base documenting associations between neighborhood characteristics and the risk of developing high blood pressure, little work has established the role played by neighborhood social organization exposures in racial/ethnic disparities in hypertension risk. There is also ambiguity around prior estimates of neighborhood effects on hypertension prevalence, given the lack of attention paid to individuals' exposures to both residential and nonresidential spaces. This study contributes to the neighborhoods and hypertension literature by using novel longitudinal data from the Los Angeles Family and Neighborhood Survey to construct exposure-weighted measures of neighborhood social organization characteristics-organizational participation and collective efficacy-and examine their associations with hypertension risk, as well as their relative contributions to racial/ethnic differences in hypertension. We also assess whether the hypertension effects of neighborhood social organization vary across our sample of Black, Latino, and White adults. Results from random effects logistic regression models indicate that adults living in neighborhoods where people are highly active in informal and formal organizations have a lower probability of being hypertensive. This protective effect of exposure to neighborhood organizational participation is also significantly stronger for Black adults than Latino and White adults, such that, at high levels of neighborhood organizational participation, the observed Black-White and Black-Latino hypertension differences are substantially reduced to nonsignificance. Nonlinear decomposition results also indicate that almost one-fifth of the Black-White hypertension gap can be explained by differential exposures to neighborhood social organization.

Background: This systematic review explores the empirical literature addressing the association between parental preconception adversity and offspring physical health in African-American families. Method: We conducted a literature search in PubMed, Web of Science, PsycINFO, CINAHL, and Scopus through June 2021. Articles were included if they: reported data about at least two generations of African-American participants from the same family; measured parental preconception adversity at the individual level; measured at least one offspring physical health outcome; and examined associations between parental adversity and child health. Results: We identified 701 unique articles; thirty-eight articles representing 30 independent studies met inclusion criteria. Twenty-five studies (83%) reported that parental preconception adversity was associated with child health; six studies (20%) reported that parental preconception adversity was not associated with at least one offspring outcome; several studies reported both. Only six studies (20%) reported an association specific to African Americans. Conclusion: Empirical evidence linking parental preconception adversity with offspring physical health in African Americans is limited and mixed. In the current literature, very few studies report evidence addressing intergenerational associations between parental preconception adversity and offspring physical health in the African-American population, specifically, and even fewer investigate forms of parental preconception adversity that have been shown to disproportionately affect African Americans (e.g., racism). To better understand root causes of racial health disparities, more rigorous systematic research is needed to address how intergenerational transmission of historical and ongoing race-based trauma may impact offspring health among African Americans.

BACKGROUND: Racial/ethnic minorities in the USA exhibit reduced health literacy (HL) proficiency, leading to increased health disparities. It is unclear how the effect of birth status (immigrant/US-born) affects HL proficiency among racial/ethnic minorities. OBJECTIVE: To identify the direct, indirect, and total effects of birth status on HL proficiency among a nationally representative population of racial/ethnic minority adults in the USA. DESIGN: A cross-sectional study of 2019 data from the Medial Expenditure Panel Survey. PARTICIPANTS: Participants aged 18 or older reporting as racial/ethnic minorities (Black, Asian, or Hispanic) with non-missing data. MAIN MEASURES: We predicted HL proficiency for each participant using a previously published model. Path analysis was used to estimate the direct, indirect, and total effects of birth status on HL proficiency, accounting for several other covariates. Prevalence ratios were estimated using adjusted Poisson regression to evaluate differences in the Below Basic HL category. KEY RESULTS: An estimated weighted 81,092,505 participants were included (57.5% US-born, 42.5% immigrant). More racial/ethnic minority immigrant participants fell into the lowest category of HL proficiency, Below Basic (14.3% vs 5.5%, p < 0.05). Results of the path analysis indicated a significant, negative direct effect of birth status on HL proficiency (standardized coefficient = - 0.24, SE = 0.01, 95%CI: - 0.26, - 0.23) in addition to an indirect effect mediated through insurance status, health-system resource use, and English proficiency. The total effect of birth status on HL proficiency was found to be - 0.29. The immigrant participant group had 81% higher prevalence of falling into the Below Basic HL category compared to US-born participants (prevalence ratio = 1.81, 95%CI: 1.52, 2.16). CONCLUSIONS: Immigrant status has a strong, negative, direct effect on HL proficiency among racial/ethnic minorities in the USA. This may be a result of

Using  6 years of data from the National Survey of Drug Use and Health, the present study investigated ethnic minority-White disparities in self-rated health and community functioning for persons with untreated mental illness. Comparing minority and White persons with untreated severe mental illness (SMI) and mild and moderate mental illness (MMMI), the study sought evidence of double jeopardy: that minority persons with mental illness suffer an added burden from being members of ethnic minority groups. For African Americans with SMI and MMMI, results indicated that the odds were greater of living in poverty, being unemployed, and being arrested in the past year, and for African Americans with SMI, the odds were greater of reporting fair/poor health. For Native Americans/Alaska Native persons with MMMI, the odds were greater of living in poverty and being arrested in the past year. For Latinx persons with SMI and MMMI, the odds were greater of living in poverty and for Latinx persons with SMI the odds were greater of reporting fair/poor health. Results indicate that African Americans with mental illness suffer pervasive adversity relative to Whites and Native Americans/Alaska Natives and Latinx persons do so selectively.

Objective. To discuss multilevel self-management intervention research in nursing to decrease health disparities among people living with chronic diseases. Content synthesis. Multilevel interventions have become the core of nursing research in the last decade. However, a critical limitation of existing interventions targeting health disparities among those living with chronic diseases is the tendency to address single or individual-level factors solely. Conclusions. Nursing research iscreating knowledge that may be translated into clinical practice and promoting evidence-based and innovative self-management practices to decrease health disparities and promote health equity among people living with chronic diseases., Objetivo. Analisar a pesquisa realizada pela enfermagem em intervenções multiníveis de autogestão para reduzir as disparidades de saúde entre pessoas que vivem com doenças crônicas. Síntese de conteúdo. As intervenções multiníveis tornaram-se o núcleo da pesquisa em enfermagem na última década. No entanto, uma limitação crítica das intervenções existentes que visam as disparidades de saúde entre aqueles que vivem com doenças crônicas é a tendência de abordar apenas fatores individuais ou de nível individual. Conclusões.A pesquisa em enfermagem está criando conhecimento que pode ser traduzido para a prática clínica e promovendo práticas de autocuidado inovadoras e baseadas em evidências para diminuir as disparidades de saúde e promover a equidade na saúde entre pessoas que vivem com doenças crônicas., Objetivo. Analizar la investigación realizada por enfermería en intervenciones multinivel de automanejo con el fin de disminuir las disparidades de salud entre las personas que viven con enfermedades crónicas. Síntesis de contenido.Las intervenciones multinivel se han convertido en el núcleo de la investigación en enfermería en la última década. Sin embargo, una limitación crítica de las intervenciones existentes que se enfocan en las disparidades de salud entre quienes viven con enfermedades crónicas es la tendencia a abordar factores individuales o de nivel individual únicamente. Conclusiones. La investigación en enfermería está creando conocimiento que puede traducirse en la práctica clínica y promueve prácticas de autocuidado innovadoras y basadas en evidencia para disminuir las disparidades en la salud y promover la equidad en la salud entre las personas que viven con enfermedades crónicas.

Current digital health approaches have not engaged diverse end users or reduced health or health care inequities, despite their promise to deliver more tailored and personalized support to individuals at the right time and the right place. To achieve digital health equity, we must refocus our attention on the current state of digital health uptake and use across the policy, system, community, individual, and intervention levels. We focus here on (a) outlining a multilevel framework underlying digital health equity; (b) summarizingfive types of interventions/programs (with example studies) that hold promise for advancing digital health equity; and (c) recommending future steps for improving policy, practice, and research in this space.

PURPOSE OF REVIEW: The volume of public health environmental justice (EJ) research produced by academic institutions increased through 2022. However, the methods used for evaluating EJ in exposure science and epidemiologic studies have not been catalogued. Here, we completed a scoping review of EJ studies published in 19 environmental science and epidemiologic journals from 2018 to 2021 to summarize research types, frameworks, and methods. RECENT FINDINGS: We identified 402 articles that included populations with health disparities as a part of EJ research question and met other inclusion criteria. Most studies (60%) evaluated EJ questions related to socioeconomic status (SES) or race/ethnicity. EJ studies took place in 69 countries, led by the US (n = 246 [61%]). Only 50% of studies explicitly described a theoretical EJ framework in the background, methods, or discussion and just 10% explicitly stated a framework in all three sections. Among exposure studies, the most common area-level exposure was air pollution (40%), whereas chemicals predominated personal exposure studies (35%). Overall, the most common method used for exposure-only EJ analyses was main effect regression modeling (50%); for epidemiologic studies the most common method was effect modification (58%), where an analysis evaluated a health disparity variable as an effect modifier. Based on the results of this scoping review, current methods in public health EJ studies could be bolstered by integrating expertise from other fields (e.g., sociology), conducting community-based participatory research and intervention studies, and using more rigorous, theory-based, and solution-oriented statistical research methods.

BACKGROUND: Colorectal cancer mortality is growing in Latin America. It is known for a marked income disparity between its countries, and there is a consistent association with development. Our purpose was to describe trends in colorectal cancer mortality in Latin America between 1990 and 2019, identifying differences by human development categories. METHODS: We extracted age-adjusted mortality rate from the Global Burden of Disease (GBD) Study from 22 Latin American countries, subregions, and country groups previously ranked by the GBD study due to Sociodemographic Index (SDI) between 1990 and 2019. We applied the segmented regression model to analyze the time trend. Also, we estimated the correlation between mortality rates and Human Development Index (HDI) categories for countries. RESULTS: Between 1990 and 2019, colorectal cancer adjusted mortality rate increased by 20.56% in Latin America (95% CI 19.75% - 21.25%). Between 1990 and 2004, the average annual percentage change (APC) was 0.11% per year (95% CI 0.10-0.12), and between 2004 and 2019 there was a deceleration (APC = 0.04% per year, 95% CI 0.03%- 0.05%). There is great heterogeneity among the countries of the region. Correlation between these two variables was 0.52 for 1990 and 2019. When separated into HDI groups, the correlation varied in the direction of the association and its magnitude, typifying an effect modification known as Simpsons Paradox. CONCLUSIONS: Human development factors may be important for assessing variation in cancer mortality on a global scale. Studies that assess the social and -economic contexts of countries are necessary for robust evaluation and provision of preventive, diagnostic and curative services to reduce cancer mortality in Latin America.

Sleep is essential to human survival and overall vascular health. Sleep health encompasses the objective and subjective qualities associated with one's daily pattern of sleep and wakefulness and has become a growing clinical and public health concern. Impaired sleep duration and quality can increase stroke risk and mediate the relationship between the physical aspects of an individual's environment and disparities in stroke incidence. Here, we review observational studies evaluating the association between sleep health and cerebrovascular disease. We assess the influence on sleep of the physical environment, including the ambient environment with noise levels and the built environment. We also describe the influences on sleep health and stroke risk of social determinants of health, including the chronic stressor of racial discrimination. Finally, we discuss how changes in historical neighborhood characteristics or societal policies can influence the social factors affecting sleep health and stroke risk among socioeconomically disadvantaged groups or ethnic and racial minorities. Given the regional and racial or ethnic differences in stroke risk across the United States, an understanding of novel vascular risk factors, such as the multifaceted role of sleep health, will be critical to develop effective public policies to improve population health.

Background Few studies have examined the development of geographic and socioeconomic inequalities in caries over time or have simultaneously assessed individual-level socioeconomic position (SEP) and neighborhood-level factors as a multi-layered phenomenon influencing caries inequalities. This study examined (i) the trends in geographic inequalities in caries among adolescents in Denmark and (ii) how the association between SEP and caries has progressed over time, when accounting for individual and neighborhood-level confounding factors. Methods This nationwide repeated cross-sectional study included 15-year-olds in Denmark from 1995, 2003, and 2013 (n = 149,808). The outcome was caries experience (measured by the decayed, missing, and filled tooth surfaces [DMFS] index). The exposure of interest was SEP, indicated by the previous year’s parental education, occupational social class, and (equivalized) disposable household income. Covariates included individual-level factors (immigration status, country of origin, number of children and persons in the family, and household type) and neighborhood (residence municipality)-level factors (Gini index; proportion of unemployed, low-educated, and unmarried/non-cohabiting individuals; proportion of single-parent households and households with overcrowding). Data sources included the Danish national dental and administrative social registers and Statistics Denmark’s statistics database (StatBank). Data were analyzed using spatial and spatiotemporal modelling utilizing zero-inflated negative binomial regressions and integrated nested Laplace approximations for Bayesian parametric inference. Observed caries experience geo-maps of the Danish municipalities for 1995, 2003, and 2013 were created. Results Between 1995 and 2013, caries prevalence in the 15-year-olds declined sharply (1995, 71%; 2013, 45%). Caries experience declined in nearly all socioeconomic subgroups and municipalities. However, geog, Background: Few studies have examined the development of geographic and socioeconomic inequalities in caries over time or have simultaneously assessed individual-level socioeconomic position (SEP) and neighborhood-level factors as a multi-layered phenomenon influencing caries inequalities. This study examined (i) the trends in geographic inequalities in caries among adolescents in Denmark and (ii) how the association between SEP and caries has progressed over time, when accounting for individual and neighborhood-level confounding factors. Methods: This nationwide repeated cross-sectional study included 15-year-olds in Denmark from 1995, 2003, and 2013 (n = 149,808). The outcome was caries experience (measured by the decayed, missing, and filled tooth surfaces [DMFS] index). The exposure of interest was SEP, indicated by the previous year’s parental education, occupational social class, and (equivalized) disposable household income. Covariates included individual-level factors (immigration status, country of origin, number of children and persons in the family, and household type) and neighborhood (residence municipality)-level factors (Gini index; proportion of unemployed, low-educated, and unmarried/non-cohabiting individuals; proportion of single-parent households and households with overcrowding). Data sources included the Danish national dental and administrative social registers and Statistics Denmark’s statistics database (StatBank). Data were analyzed using spatial and spatiotemporal modelling utilizing zero-inflated negative binomial regressions and integrated nested Laplace approximations for Bayesian parametric inference. Observed caries experience geo-maps of the Danish municipalities for 1995, 2003, and 2013 were created. Results: Between 1995 and 2013, caries prevalence in the 15-year-olds declined sharply (1995, 71%; 2013, 45%). Caries experience declined in nearly all socioeconomic subgroups and municipalities. However, geographic inequalities pers

Background: Urgent daily hassles, which are more common among people with a lower socioeconomic position (SEP), might limit one’s ability to address less pressing goals, such as goals related to health promotion. Consequently, health goals may be viewed as less focal, which could jeopardize one’s health. This study examined an understudied pathway: whether a higher severity of daily hassles resulted in a lower perceived importance of health and whether these two factors sequentially mediate socioeconomic inequalities in self-assessed health (SAH) and food consumption. Methods: A cross-sectional survey among 1,330 Dutch adults was conducted in 2019. Participants self-reported SEP (household income, educational level), the severity of eleven daily hassles (e.g., financial hassles, legal hassles), the perceived importance of health (not being ill, living a long life), SAH, and food consumption. Structural equation modeling was used to examine whether daily hassles and the perceived importance of health sequentially mediated income and educational inequalities in SAH, fruit and vegetable consumption (FVC) and snack consumption. Results: No evidence of sequential mediation through daily hassles and the perceived importance of health was found. Daily hassles individually mediated income inequalities in SAH (indirect effect: 0.04, total effect: 0.06) and in FVC (indirect effect: 0.02, total effect: 0.09). The perceived importance of not being ill and living a long life both individually mediated educational inequalities in SAH (indirect effects: 0.01 and -0.01, respectively, total effect: 0.07). Conclusions: Income inequalities in SAH and FVC were explained by daily hassles, and educational inequalities in SAH were explained by the perceived importance of health. Socioeconomic inequalities may not be sequentially explained by a more severe experience of daily hassles and a lower perceived importance of health. Interventions and policies addressing challenging circumstances

BACKGROUND: Patients undergoing rotator cuff repairs commonly experience postoperative pain and functional limitations. Various socioeconomic and pain-related factors have been recognized as influential in the prognosis of such patients. This study aims to investigate the associations between postoperative pain and functionality and preoperative pain-related outcomes and socioeconomic status in patients undergoing rotator cuff repairs. METHODS: This cross-sectional study examines the relationship between the outcomes of rotator cuff repairs and participants’ socioeconomic status and pain-related measures. Socioeconomic status was assessed through indicators such as educational level, monthly household income, and occupation. Pain-related outcomes included measures of kinesiophobia and pain self-efficacy. RESULTS: A total of 105 patients (68 male, 37 female) were included in the analysis. The findings revealed no significant association between postoperative pain or functionality and the patients’ socioeconomic status (p > 0.05). However, postoperative pain levels demonstrated a significant association with preoperative kinesiophobia (p < 0.05) and pain self-efficacy (p < 0.013). In contrast, functionality did not exhibit a significant association with these measures (p < 0.072 and 0.217, respectively). CONCLUSIONS: Preoperative pain-related outcomes play a role in postoperative pain levels among patients undergoing rotator cuff repairs. However, they do not appear to be related to functionality. Additionally, socioeconomic status does not significantly impact either pain or functionality.

Background Few studies have examined the development of geographic and socioeconomic inequalities in caries over time or have simultaneously assessed individual-level socioeconomic position (SEP) and neighborhood-level factors as a multi-layered phenomenon influencing caries inequalities. This study examined (i) the trends in geographic inequalities in caries among adolescents in Denmark and (ii) how the association between SEP and caries has progressed over time, when accounting for individual and neighborhood-level confounding factors. Methods This nationwide repeated cross-sectional study included 15-year-olds in Denmark from 1995, 2003, and 2013 (n = 149,808). The outcome was caries experience (measured by the decayed, missing, and filled tooth surfaces [DMFS] index). The exposure of interest was SEP, indicated by the previous year’s parental education, occupational social class, and (equivalized) disposable household income. Covariates included individual-level factors (immigration status, country of origin, number of children and persons in the family, and household type) and neighborhood (residence municipality)-level factors (Gini index; proportion of unemployed, low-educated, and unmarried/non-cohabiting individuals; proportion of single-parent households and households with overcrowding). Data sources included the Danish national dental and administrative social registers and Statistics Denmark’s statistics database (StatBank). Data were analyzed using spatial and spatiotemporal modelling utilizing zero-inflated negative binomial regressions and integrated nested Laplace approximations for Bayesian parametric inference. Observed caries experience geo-maps of the Danish municipalities for 1995, 2003, and 2013 were created. Results Between 1995 and 2013, caries prevalence in the 15-year-olds declined sharply (1995, 71%; 2013, 45%). Caries experience declined in nearly all socioeconomic subgroups and municipalities. However, geog, Background: Few studies have examined the development of geographic and socioeconomic inequalities in caries over time or have simultaneously assessed individual-level socioeconomic position (SEP) and neighborhood-level factors as a multi-layered phenomenon influencing caries inequalities. This study examined (i) the trends in geographic inequalities in caries among adolescents in Denmark and (ii) how the association between SEP and caries has progressed over time, when accounting for individual and neighborhood-level confounding factors. Methods: This nationwide repeated cross-sectional study included 15-year-olds in Denmark from 1995, 2003, and 2013 (n = 149,808). The outcome was caries experience (measured by the decayed, missing, and filled tooth surfaces [DMFS] index). The exposure of interest was SEP, indicated by the previous year’s parental education, occupational social class, and (equivalized) disposable household income. Covariates included individual-level factors (immigration status, country of origin, number of children and persons in the family, and household type) and neighborhood (residence municipality)-level factors (Gini index; proportion of unemployed, low-educated, and unmarried/non-cohabiting individuals; proportion of single-parent households and households with overcrowding). Data sources included the Danish national dental and administrative social registers and Statistics Denmark’s statistics database (StatBank). Data were analyzed using spatial and spatiotemporal modelling utilizing zero-inflated negative binomial regressions and integrated nested Laplace approximations for Bayesian parametric inference. Observed caries experience geo-maps of the Danish municipalities for 1995, 2003, and 2013 were created. Results: Between 1995 and 2013, caries prevalence in the 15-year-olds declined sharply (1995, 71%; 2013, 45%). Caries experience declined in nearly all socioeconomic subgroups and municipalities. However, geographic inequalities pers

BackgroundWe have analyzed sex, race/ethnicity or socioeconomic disparities in the incidence of metastatic bone disease (MBD).MethodsPatients with the diagnosis of MBD at presentation for five most common primary anatomical sites was extracted from Surveillance, Epidemiology, and End Results Census tract-level dataset. Mean incidence of MBD for different sex, racial/ethnic and socioeconomic groups were compared.ResultsThe five most common anatomical sites with MBD at presentation include "lung: (n = 59 739), "prostate" (n = 19 732), "breast" (n = 16 244), "renal" (n = 7718) and "colon" (n = 3068). There was an increase in incidence of MBD among cancers originating from prostate (annual percentage change [APC] 4.94), renal (APC 2.55), and colon (APC 3.21) (p < 0.05 for all). Non-Hispanic Blacks had higher incidence of MBD for prostate and breast primary sites (p < 0.001). Non-Hispanic American Indian Alaskan Native had higher incidence of MBD for cancers originating from renal (p < 0.001) and colon (p = 0.049). A higher incidence of MBD was seen in lower socioeconomic status (SES) groups for the selected sites (p < 0.001).ConclusionsThese findings suggest that there are multiple sex-related, racial/ethnic and SES disparities in the incidence of MBD from the 5 most common primary sites. Higher incidence seen among lower SES suggests delay in diagnosis and limited access to screening modalities.

Racial/ethnic minorities have experienced higher COVID-19 infection rates than whites, but it is unclear how individual-level housing, occupational, behavioral, and socioeconomic conditions contribute to these disparities in a nationally representative sample. In this study, we assess the extent to which social determinants of health contribute to racial/ethnic differences in COVID-19 infection. Data are from the Understanding America Study's Understanding Coronavirus in America survey (UAS COVID-19 waves 7-29). UAS COVID-19 is one of the only nationally representative longitudinal data sources that collects information on household, work, and social behavioral context during the pandemic. We analyze onset of COVID-19 cases, defined as a positive test or a diagnosis of COVID-19 from a healthcare provider since the previous survey wave, over a year of follow-up (June 2020-July 2021). We consider educational attainment, economic resources, work arrangements, household size, and social distancing as key social factors that may be structured by racism. Cox hazard models indicate that Hispanic people have 48% higher risk of experiencing a COVID-19 infection than whites after adjustment for age, sex, local infection rate, and comorbidities, but we do not observe a higher risk of COVID-19 among Black respondents. Controlling for engagement in any large or small social gathering increases the hazard ratio for Hispanics by 9%, suggesting that had Hispanics had the same social engagement patterns as whites, they may have had even higher risk of COVID-19. Other social determinants-lower educational attainment, working away from home, and number of coresidents-all independently predict higher risk of COVID-19, but do not explain why Hispanic Americans have higher COVID-19 infection risk than whites.

Indicators based a fixed “old” age threshold have been widely used for assessing socioeconomic disparities in mortality at older ages. Interpretation of long-term trends and determinants of these indicators is challenging because mortality above a fixed age that in the past would have reflected old age deaths is today mixing premature and old-age mortality. We propose the modal (i.e., most frequent) age at death, M, an indicator increasingly recognized in aging research, but which has been infrequently used for monitoring mortality disparities at older ages. We use mortality and population exposure data by occupational class over the 1971-2017 period from Finnish register data. The modal age and life expectancy indicators are estimated from mortality rates smoothed with penalized B-splines. Over the 1971-2017 period, occupational class disparities in life expectancy at 65 and 75 widened while disparities in M remained relatively stable. The proportion of the group surviving to the modal age was constant across time and occupational class. In contrast, the proportion surviving to age 65 and 75 has roughly doubled since 1971 and showed strong occupational class differences. Increasing socioeconomic disparities in mortality based on fixed old age thresholds may be a feature of changing selection dynamics in a context of overall declining mortality. Unlike life expectancy at a selected fixed old age, M compares individuals with similar survival chances over time and across occupational classes. This property makes trends and differentials in M easier to interpret in countries where old-age survival has improved significantly.

The practice of using race or ethnicity in medicine to explain differences between individuals is being called into question because it may contribute to biased medical care and research that perpetuates health disparities and structural racism. A commonly cited example is the use of race or ethnicity in the interpretation of pulmonary function test (PFT) results, yet the perspectives of practicing pulmonologists and physiologists are missing from this discussion. This discussion has global relevance for increasingly multicultural communities in which the range of values that represent normal lung function is uncertain. We review the underlying sources of differences in lung function, including those that may be captured by race or ethnicity, and demonstrate how the current practice of PFT measurement and interpretation is imperfect in its ability to describe accurately the relationship between function and health outcomes. We summarize the arguments against using race-specific equations as well as address concerns about removing race from the interpretation of PFT results. Further, we outline knowledge gaps and critical questions that need to be answered to change the current approach of including race or ethnicity in PFT results interpretation thoughtfully. Finally, we propose changes in interpretation strategies and future research to reduce health disparities.

Racial/ethnic minorities have experienced higher COVID-19 infection rates than whites, but it is unclear how individual-level housing, occupational, behavioral, and socioeconomic conditions contribute to these disparities in a nationally representative sample. In this study, we assess the extent to which social determinants of health contribute to racial/ethnic differences in COVID-19 infection. Data are from the Understanding America Study's Understanding Coronavirus in America survey (UAS COVID-19 waves 7-29). UAS COVID-19 is one of the only nationally representative longitudinal data sources that collects information on household, work, and social behavioral context during the pandemic. We analyze onset of COVID-19 cases, defined as a positive test or a diagnosis of COVID-19 from a healthcare provider since the previous survey wave, over a year of follow-up (June 2020-July 2021). We consider educational attainment, economic resources, work arrangements, household size, and social distancing as key social factors that may be structured by racism. Cox hazard models indicate that Hispanic people have 48% higher risk of experiencing a COVID-19 infection than whites after adjustment for age, sex, local infection rate, and comorbidities, but we do not observe a higher risk of COVID-19 among Black respondents. Controlling for engagement in any large or small social gathering increases the hazard ratio for Hispanics by 9%, suggesting that had Hispanics had the same social engagement patterns as whites, they may have had even higher risk of COVID-19. Other social determinants-lower educational attainment, working away from home, and number of coresidents-all independently predict higher risk of COVID-19, but do not explain why Hispanic Americans have higher COVID-19 infection risk than whites.

BackgroundWe have analyzed sex, race/ethnicity or socioeconomic disparities in the incidence of metastatic bone disease (MBD).MethodsPatients with the diagnosis of MBD at presentation for five most common primary anatomical sites was extracted from Surveillance, Epidemiology, and End Results Census tract-level dataset. Mean incidence of MBD for different sex, racial/ethnic and socioeconomic groups were compared.ResultsThe five most common anatomical sites with MBD at presentation include "lung: (n = 59 739), "prostate" (n = 19 732), "breast" (n = 16 244), "renal" (n = 7718) and "colon" (n = 3068). There was an increase in incidence of MBD among cancers originating from prostate (annual percentage change [APC] 4.94), renal (APC 2.55), and colon (APC 3.21) (p < 0.05 for all). Non-Hispanic Blacks had higher incidence of MBD for prostate and breast primary sites (p < 0.001). Non-Hispanic American Indian Alaskan Native had higher incidence of MBD for cancers originating from renal (p < 0.001) and colon (p = 0.049). A higher incidence of MBD was seen in lower socioeconomic status (SES) groups for the selected sites (p < 0.001).ConclusionsThese findings suggest that there are multiple sex-related, racial/ethnic and SES disparities in the incidence of MBD from the 5 most common primary sites. Higher incidence seen among lower SES suggests delay in diagnosis and limited access to screening modalities.

Differences in health outcomes across racial groups are among the most commonly reported findings in health disparities research. Often, these studies do not explicitly connect observed disparities to mechanisms of systemic racism that drive adverse health outcomes among racialized and other marginalized groups in the United States. Without this connection, investigators inadvertently support harmful narratives of biologic essentialism or cultural inferiority that pathologize racial identities and inhibit health equity. This paper outlines pitfalls in the conceptualization, contextualization, and operationalization of race in quantitative population health research and provides recommendations on how to appropriately engage in scientific inquiry aimed at understanding racial health inequities. Race should not be used as a measure of biologic difference, but rather as a proxy for exposure to systemic racism. Future studies should go beyond this proxy use and directly measure racism and its health impacts.VISUAL ABSTRACTAppeared as Annals "Online First" article.

Environmental justice and health research demonstrate unequal exposure to environmental hazards at the neighborhood-level. We use an innovative method-eco-intersectional multilevel (EIM) modeling-to assess intersectional inequalities in industrial air toxics exposure across US census tracts in 2014. Results reveal stark inequalities in exposure across analytic strata, with a 45-fold difference in average exposure between most and least exposed. Low SES, multiply marginalized (high % Black, high % female-headed households) urban communities experienced highest risk. These inequalities were not described by additive effects alone, necessitating the use of interaction terms. We advance a critical intersectional approach to evaluating environmental injustices.

BackgroundRacial differences in metabolomic profiles may reflect underlying differences in social determinants of health by self-reported race and may be related to racial disparities in coronary heart disease (CHD) among women in the United States. However, the magnitude of differences in metabolomic profiles between Black and White women in the United States has not been well-described. It also remains unknown whether such differences are related to differences in CHD risk.MethodsPlasma metabolomic profiles were analyzed using liquid chromatography-tandem mass spectrometry in the WHI-OS (Women's Health Initiative-Observational Study; 138 Black and 696 White women), WHI-HT trials (WHI-Hormone Therapy; 156 Black and 1138 White women), MESA (Multi-Ethnic Study of Atherosclerosis; 114 Black and 219 White women), JHS (Jackson Heart Study; 1465 Black women with 107 incident CHD cases), and NHS (Nurses' Health Study; 2506 White women with 136 incident CHD cases). First, linear regression models were used to estimate associations between self-reported race and 472 metabolites in WHI-OS (discovery); findings were replicated in WHI-HT and validated in MESA. Second, we used elastic net regression to construct a racial difference metabolomic pattern (RDMP) representing differences in the metabolomic patterns between Black and White women in the WHI-OS; the RDMP was validated in the WHI-HT and MESA. Third, using conditional logistic regressions in the WHI (717 CHD cases and 719 matched controls), we examined associations of metabolites with large differences in levels by race and the RDMP with risk of CHD, and the results were replicated in Black women from the JHS and White women from the NHS.ResultsOf the 472 tested metabolites, levels of 259 (54.9%) metabolites, mostly lipid metabolites and amino acids, significantly differed between Black and White women in both WHI-OS and WHI-HT after adjusting for baseline characteristics, socioeconomic status, lifestyle factors, baselin

Background: Demographic changes and the increased chronical diseases burden are global challenges that cannot go unnoticed by healthcare systems, which must be or ganized without losing sight of the increasing influence of social determinants. Aim: To evaluate the results of a primary care program implemented to reduce health inequalities associated with social determinants in patients with type 2 diabetes. Method: An exploratory pilot retrospective cross-sectional study that includes sec ondary data of 404 nonrandomized patients belonging to socially depressed areas and conventional areas. Descriptive, bivariate, and multivariate analyses were performed. Results: The age of the subjects included in the study was 66.80 ± 9.7 years with a proportion of 56.7% men. Proportions of patients from socially depressed areas and adherence to the Nursing Follow-up Program were around 33% and 60%, respec tively. The obesity rate was 51%, percentage of patients with HbA1c<7% was 59%. No significant differences were found between patients belonging to socially depressed areas and those who do not, except for greater adherence to nursing follow-up pro grams. Multivariate models assessed chronical complications as health outcomes (car diovascular diseases, retinopathy, and nephropathy) as health outcomes showing the influence of previously described risk factors. However, in none of the models did be longing to a socially depressed area or adherence to the Nursing Follow-up Program were predictors. Conclusions: The program has proven to be efficient in equating the health outcomes related with cardiovascular risk of patients from both types of areas. Well-directed health policies could bring primary care systems closer to sustainable development goals through the reduction of health disparities that affect socially vulnerable groups. Clinical relevance: To introduce a risk strategy and to adopt a family approach, con templating the sociocultural and educational differences that div

The need to visualise the complexity of the determinants of population health and their interactions inspired the development of the rainbow model. In this commentary we chronicle how variations of this model have emerged, including the initial models of Haglund and Svanström (1982), Dahlgren and Whitehead (1991), and the Östgöta model (2014), and we illustrate how these models have been influential in both public health and beyond. All these models have strong Nordic connections and are thus an important Nordic contribution to public health. Further, these models have underpinned and facilitated other examples of Nordic leadership in public health, including practical efforts to address health inequalities and design new health policy approaches. Apart from documenting the emergence of rainbow models and their wide range of contemporary uses, we examine a range of criticisms levelled at these models – including limitations in methodological development and in scope. We propose the time is ripe for an updated generic determinants of health model, one that elucidates and preserves the core value in older models, while recognising the developments that have occurred over the past decades in our understanding of the determinants of health. We conclude with an example of a generic model that fulfills the general purposes of a determinants of health model while maintaining the necessary scope for further adjustments to be made in the future, as well as adjustments to location or context-specific purposes, in education, research, health promotion and beyond.

The need to visualise the complexity of the determinants of population health and their interactions inspired the development of the rainbow model. In this commentary we chronicle how variations of this model have emerged, including the initial models of Haglund and Svanström (1982), Dahlgren and Whitehead (1991), and the Östgöta model (2014), and we illustrate how these models have been influential in both public health and beyond. All these models have strong Nordic connections and are thus an important Nordic contribution to public health. Further, these models have underpinned and facilitated other examples of Nordic leadership in public health, including practical efforts to address health inequalities and design new health policy approaches. Apart from documenting the emergence of rainbow models and their wide range of contemporary uses, we examine a range of criticisms levelled at these models – including limitations in methodological development and in scope. We propose the time is ripe for an updated generic determinants of health model, one that elucidates and preserves the core value in older models, while recognising the developments that have occurred over the past decades in our understanding of the determinants of health. We conclude with an example of a generic model that fulfills the general purposes of a determinants of health model while maintaining the necessary scope for further adjustments to be made in the future, as well as adjustments to location or context-specific purposes, in education, research, health promotion and beyond.

PurposeTo evaluate the association between lifetime personal cigarette smoking and young-onset breast cancer (YOBC; diagnosed <50 years of age) risk overall and by breast cancer (BC) subtype, and whether risk varies by race or socioeconomic position (SEP).MethodsData are from the Young Women's Health History Study (YWHHS), a population-based case-control study of non-Hispanic Black (NHB) and White (NHW) women, ages 20-49 years (n = 1812 cases, n = 1381 controls) in the Los Angeles County and Metropolitan Detroit Surveillance, Epidemiology, and End Results (SEER) registry areas, 2010-2015. Lifetime personal cigarette smoking characteristics and YOBC risk by subtype were examined using sample-weighted, multivariable-adjusted polytomous logistic regression.ResultsYOBC risk associated with ever versus never smoking differed by subtype (Pheterogeneity = 0.01) with risk significantly increased for Luminal A (adjusted odds ratio [aOR] 1.34; 95% confidence interval [CI] 1.06-1.68) and HER2-type (aOR 1.97; 95% CI 1.23-3.16), and no association with Luminal B or Triple Negative subtypes. Additionally, ≥30 years since smoking initiation (versus never) was statistically significantly associated with an increased risk of Luminal A (aOR 1.55; 95% CI 1.07-2.26) and HER2-type YOBC (aOR 2.77; 95% CI 1.32-5.79), but not other subtypes. In addition, among parous women, smoking initiated before first full-term pregnancy (versus never) was significantly associated with an increased risk of Luminal A YOBC (aOR 1.45; 95% CI 1.11-1.89). We observed little evidence for interactions by race and SEP.ConclusionFindings confirm prior reports of a positive association between cigarette smoking and Luminal A YOBC and identify a novel association between smoking and HER2-type YOBC.

The need to visualise the complexity of the determinants of population health and their interactions inspired the development of the rainbow model. In this commentary we chronicle how variations of this model have emerged, including the initial models of Haglund and Svanström (1982), Dahlgren and Whitehead (1991), and the Östgöta model (2014), and we illustrate how these models have been influential in both public health and beyond. All these models have strong Nordic connections and are thus an important Nordic contribution to public health. Further, these models have underpinned and facilitated other examples of Nordic leadership in public health, including practical efforts to address health inequalities and design new health policy approaches. Apart from documenting the emergence of rainbow models and their wide range of contemporary uses, we examine a range of criticisms levelled at these models – including limitations in methodological development and in scope. We propose the time is ripe for an updated generic determinants of health model, one that elucidates and preserves the core value in older models, while recognising the developments that have occurred over the past decades in our understanding of the determinants of health. We conclude with an example of a generic model that fulfills the general purposes of a determinants of health model while maintaining the necessary scope for further adjustments to be made in the future, as well as adjustments to location or context-specific purposes, in education, research, health promotion and beyond.

The need to visualise the complexity of the determinants of population health and their interactions inspired the development of the rainbow model. In this commentary we chronicle how variations of this model have emerged, including the initial models of Haglund and Svanström (1982), Dahlgren and Whitehead (1991), and the Östgöta model (2014), and we illustrate how these models have been influential in both public health and beyond. All these models have strong Nordic connections and are thus an important Nordic contribution to public health. Further, these models have underpinned and facilitated other examples of Nordic leadership in public health, including practical efforts to address health inequalities and design new health policy approaches. Apart from documenting the emergence of rainbow models and their wide range of contemporary uses, we examine a range of criticisms levelled at these models – including limitations in methodological development and in scope. We propose the time is ripe for an updated generic determinants of health model, one that elucidates and preserves the core value in older models, while recognising the developments that have occurred over the past decades in our understanding of the determinants of health. We conclude with an example of a generic model that fulfills the general purposes of a determinants of health model while maintaining the necessary scope for further adjustments to be made in the future, as well as adjustments to location or context-specific purposes, in education, research, health promotion and beyond.

Background: Demographic changes and the increased chronical diseases burden are global challenges that cannot go unnoticed by healthcare systems, which must be or ganized without losing sight of the increasing influence of social determinants. Aim: To evaluate the results of a primary care program implemented to reduce health inequalities associated with social determinants in patients with type 2 diabetes. Method: An exploratory pilot retrospective cross-sectional study that includes sec ondary data of 404 nonrandomized patients belonging to socially depressed areas and conventional areas. Descriptive, bivariate, and multivariate analyses were performed. Results: The age of the subjects included in the study was 66.80 ± 9.7 years with a proportion of 56.7% men. Proportions of patients from socially depressed areas and adherence to the Nursing Follow-up Program were around 33% and 60%, respec tively. The obesity rate was 51%, percentage of patients with HbA1c<7% was 59%. No significant differences were found between patients belonging to socially depressed areas and those who do not, except for greater adherence to nursing follow-up pro grams. Multivariate models assessed chronical complications as health outcomes (car diovascular diseases, retinopathy, and nephropathy) as health outcomes showing the influence of previously described risk factors. However, in none of the models did be longing to a socially depressed area or adherence to the Nursing Follow-up Program were predictors. Conclusions: The program has proven to be efficient in equating the health outcomes related with cardiovascular risk of patients from both types of areas. Well-directed health policies could bring primary care systems closer to sustainable development goals through the reduction of health disparities that affect socially vulnerable groups. Clinical relevance: To introduce a risk strategy and to adopt a family approach, con templating the sociocultural and educational differences that div

Background and aimsRacial/ethnic minority children have worse liver transplant (LT) outcomes. We evaluated whether neighborhood socioeconomic deprivation affected associations between race/ethnicity and wait-list mortality.Approach and resultsWe included children (age <18) listed 2005-2015 in the Scientific Registry of Transplant Recipients. We categorized patients as non-Hispanic White, Black, Hispanic, and other. We matched patient ZIP codes to a neighborhood socioeconomic deprivation index (range, 0-1; higher values indicate worse deprivation). Primary outcomes were wait-list mortality, defined as death/delisting for too sick, and receipt of living donor liver transplant (LDLT). Competing risk analyses modeled the association between race/ethnicity and wait-list mortality, with deceased donor liver transplant (DDLT) and LDLT as competing risks, and race/ethnicity and LDLT, with wait-list mortality and DDLT as competing risks. Of 7716 children, 17% and 24% identified as Black and Hispanic, respectively. Compared to White children, Black and Hispanic children had increased unadjusted hazard of wait-list mortality (subhazard ratio [sHR], 1.44; 95% CI, 1.18, 1.75 and sHR, 1.48; 95% CI, 1.25, 1.76, respectively). After adjusting for neighborhood deprivation, insurance, and listing laboratory Model for End-Stage Liver Disease/Pediatric End-Stage Liver Disease, Black and Hispanic children did not have increased hazard of wait-list mortality (sHR, 1.12; 95% CI, 0.91, 1.39 and sHR, 1.21; 95% CI, 1.00, 1.47, respectively). Similarly, Black and Hispanic children had a decreased likelihood of LDLT (sHR, 0.58; 95% CI, 0.45, 0.75 and sHR, 0.61; 95% CI, 0.49, 0.75, respectively). Adjustment attenuated the effect of Black and Hispanic race/ethnicity on likelihood of LDLT (sHR, 0.79; 95% CI, 0.60, 1.02 and sHR, 0.89; 95% CI, 0.70, 1.11, respectively).ConclusionsHousehold and neighborhood socioeconomic factors and disease severity at wait-list entry help explain racial/eth

Chronic kidney disease is an important clinical condition beset with racial and ethnic disparities that are associated with social inequities. Many medical schools and health centres across the USA have raised concerns about the use of race - a socio-political construct that mediates the effect of structural racism - as a fixed, measurable biological variable in the assessment of kidney disease. We discuss the role of race and racism in medicine and outline many of the concerns that have been raised by the medical and social justice communities regarding the use of race in estimated glomerular filtration rate equations, including its relationship with structural racism and racial inequities. Although race can be used to identify populations who experience racism and subsequent differential treatment, ignoring the biological and social heterogeneity within any racial group and inferring innate individual-level attributes is methodologically flawed. Therefore, although more accurate measures for estimating kidney function are under investigation, we support the use of biomarkers for determining estimated glomerular filtration rate without adjustments for race. Clinicians have a duty to recognize and elucidate the nuances of racism and its effects on health and disease. Otherwise, we risk perpetuating historical racist concepts in medicine that exacerbate health inequities and impact marginalized patient populations.

Health disparities disproportionately affect minority cultural groups (e.g., Indigenous, immigrant, refugee) worldwide; enduring across time, disease states, and risk factors despite co-occurring advancements in health and medicine. Fundamental cause theory holds that important social factors (e.g., socioeconomic status, stigma, racism) produce health disparities by restricting equitable access to health-protective resources. Yet, extant literature has not utilized fundamental cause theory to describe the health disparities impact of cultural trauma: an overwhelming, often ongoing physical or psychological assault by an oppressive dominant group on another group's cultural resources through force, threats of force, or oppressive policies. This paper presents a novel conceptual model detailing cultural trauma and the mechanisms through which it may disrupt health and create disparities by damaging three health-protective cultural resources: cultural modes, institutions, and lands. Following cultural trauma, we propose affected groups are socially disadvantaged and exposed to pervasive stress, stigma, and diminished resources, perpetuating health disparities across generations. Consequently, cultural trauma may represent an unrecognized fundamental cause of health disparities, offering potential avenues for promoting health equity through targeted research, interventions, and policies.

BackgroundBlack men are more likely than Non-Hispanic White (NHW) men to be diagnosed with high-risk prostate cancer. We examined the extent to which social factors were associated with differences in prostate cancer risk profiles between Black men and NHW men [using a modification to the original D'Amico risk groups based on prostate specific antigen (PSA), Gleason score (GS), and TNM stage (stage)], based on individual and combined clinicopathologic characteristics.MethodsWe conducted a cross-sectional population-based study of 23,555 Black men and 146,889 NHW men diagnosed with prostate cancer in the California Cancer Registry from 2004 to 2017. We conducted multivariable logistic regression to examine the association of year of diagnosis, block group-level neighborhood socioeconomic status (nSES), marital status, and insurance type on differences in prostate cancer risk profiles between Black and NHW men.ResultsHigh PSA (>20 ng/mL), GS, stage, individually and combined prostate cancer risk profiles were more common among Black men versus NHW men. In fully adjusted models, relative to NHW men, we observed a persistent 67% increased odds of high PSA among Black men. nSES was the factor most strongly associated with racial disparity in high PSA, accounting for 25% of the difference. Marital status was the factor that was second most associated with a racial disparity.ConclusionsnSES was the factor most strongly associated with racial disparities in high PSA prostate cancer.ImpactThe influence of nSES on racial disparities in PSA, GS, stage, and prostate cancer risk profiles warrants further consideration.

BackgroundA contextual understanding of hypertension control can inform population health management strategies to mitigate cardiovascular disease events. This retrospective cohort study links neighborhood-level data with patients' health records to describe racial/ethnic differences in uncontrolled hypertension and determine if and to what extent these differences are mediated by neighborhood socioeconomic status (nSES).MethodsWe conducted a mediation analysis using a sample of patients with hypertension from 2 health care delivery systems in San Francisco over 2 years (n=47 031). We used generalized structural equation modeling, adjusted for age, sex, and health care system, to estimate the contribution of nSES to disparities in uncontrolled hypertension between White patients and Black, Hispanic/Latino, and Asian patients, respectively. Sensitivity analysis removed adjustment for health care system.ResultsOver half the cohort (62%) experienced uncontrolled hypertension during the study period. Racial/ethnic groups showed substantial differences in prevalence of uncontrolled hypertension and distribution of nSES quintiles. Compared with White patients, Black, and Hispanic/Latino patients had higher adjusted odds of uncontrolled hypertension: odds ratio, 1.79 [95% CI, 1.67-1.91] and odds ratio, 1.38 [95% CI, 1.29-1.47], respectively and nSES accounted for 7% of the disparity in both comparisons. Asian patients had slightly lower adjusted odds of uncontrolled hypertension when compared with White patients: odds ratio, 0.95 [95% CI, 0.89-0.99] and the mediating effect of nSES did not change the direction of the relationship. Sensitivity analysis increased the proportion mediated by nSES to 11% between Black and White patients and 13% between Hispanic/Latino and White patients, but did not influence differences between Asian and White patients.ConclusionsAmong patients with hypertension in this study, nSES mediated a small proportion of racial/ethnic disparities in un

BackgroundNumerous studies of head and neck squamous cell carcinoma (HNSCC) have demonstrated disparate outcomes by race and ethnicity. Beyond known associations with socioeconomic variables, whether these are also associated with differences in tumor molecular composition has thus far been poorly explored.MethodsWe downloaded clinical and multiplatform molecular data from The Cancer Genome Atlas and other published studies. These were compared between non-Hispanic Black (n = 43) and White (n = 354) patients with non-HPV-related tumors, using multivariable models. Publicly available validation cohorts were used.ResultsBlack patients had poorer progression-free survival than White patients. Tumors of Black patients had greater copy number aberrations, and increased SFRP1 methylation and miRNA-mediated PRG4 silencing associated with poor survival. PI3K/AkT/mTOR pathway proteins were differentially expressed.ConclusionsThere are molecular differences between tumors of Black and White patients that may partially account for differences in survival. These may inform targeted treatment decisions to achieve equitable outcomes.