Can the household clean energy transition ameliorate health inequality? Evidence from China.

China is actively encouraging households to replace traditional solid fuels with clean energy. Based on the Chinese Families Panel Survey (CFPS) data, this paper uses propensity scores matching with the difference-in-differences model to examine the impact of clean energy in the household sector on residents' health status, and whether such an energy transition promotes health equity by favoring relatively disadvantaged social groups. The results show that: (1) The use of cleaner cooking fuels can significantly improve residents' health status; (2) The older adult and women have higher health returns from the clean energy transition, demonstrating that, from the perspective of age and gender, the energy transition contributes to the promotion of health equity; (3) The clean energy transition has a lower or insignificant health impact on residents who cannot easily obtain clean energy or replace non-clean energy at an affordable price. Most of these individuals live in low-income, energy-poor, or rural households. Thus, the energy transition exacerbates health inequalities. This paper suggests that to reduce the cost of using clean energy and help address key issues in health inequality, Chinese government efforts should focus on improving the affordability, accessibility, and reliability of clean energy.

Health Disparities in the Aftermath of Flood Events: A Review of Physical and Mental Health Outcomes with Methodological Considerations in the USA.

PURPOSE OF REVIEW: This review applies an environmental justice perspective to synthesize knowledge of flood-related health disparities across demographic groups in the USA. The primary aim is to examine differential impacts on physical and mental health outcomes while also assessing methodological considerations such as flood exposure metrics, baseline health metrics, and community engagement. RECENT FINDINGS: In our review (n = 27), 65% and 72% of studies identified racial, ethnic, or socio-economic disparities in physical and mental health outcomes post-flooding, respectively. The majority of racial/ethnic disparities were based on Black race, while most socio-economic disparities were based on lower household income. Forty-two percent of studies lacked flood exposure metrics, but often identified disparities. Common flood exposure metrics included self-reported flooding, flood risk models, and satellite-based observations. Seventy percent of studies lacked baseline health measurements or suitable alternatives, and only 19% incorporated community engagement into their research design. The literature consistently finds that both physical and mental health burdens following flooding are unequally shared across racial, ethnic, and socio-economic groups. These findings emphasize the need for disaster risk reduction policies that address underlying vulnerabilities to flooding, unequal exposure to flooding, and progressive funding for recovery efforts. Findings also underscore the importance of methodological enhancements to facilitate precise assessments of flood exposure and health outcomes.

Transnational inequities in cardiovascular diseases from 1990 to 2019: exploration based on the global burden of disease study 2019.

Background: To describe the burden and examine transnational inequities in overall cardiovascular disease (CVD) and ten specific CVDs across different levels of societal development. Methods: Estimates of disability-adjusted life-years (DALYs) for each disease and their 95% uncertainty intervals (UI) were extracted from the Global Burden of Diseases (GBD). Inequalities in the distribution of CVD burdens were quantified using two standard metrics recommended absolute and relative inequalities by the World Health Organization (WHO), including the Slope Index of Inequality (SII) and the relative concentration Index. Results: Between 1990 and 2019, for overall CVD, the Slope Index of Inequality changed from 3760.40 (95% CI: 3758.26 to 3756.53) in 1990 to 3400.38 (95% CI: 3398.64 to 3402.13) in 2019. For ischemic heart disease, it shifted from 2833.18 (95% CI: 2831.67 to 2834.69) in 1990 to 1560.28 (95% CI: 1559.07 to 1561.48) in 2019. Regarding hypertensive heart disease, the figures changed from-82.07 (95% CI: -82.56 to-81.59) in 1990 to 108.99 (95% CI: 108.57 to 109.40) in 2019. Regarding cardiomyopathy and myocarditis, the data evolved from 273.05 (95% CI: 272.62 to 273.47) in 1990 to 250.76 (95% CI: 250.42 to 251.09) in 2019. Concerning aortic aneurysm, the index transitioned from 104.91 (95% CI: 104.65 to 105.17) in 1990 to 91.14 (95% CI: 90.94 to 91.35) in 2019. Pertaining to endocarditis, the figures shifted from-4.50 (95% CI: -4.64 to-4.36) in 1990 to 16.00 (95% CI: 15.88 to 16.12) in 2019. As for rheumatic heart disease, the data transitioned from-345.95 (95% CI: -346.47 to-345.42) in 1990 to-204.34 (95% CI: -204.67 to-204.01) in 2019. Moreover, the relative concentration Index for overall CVD and each specific type also varied from 1990 to 2019. Conclusion: There's significant heterogeneity in transnational health inequality for ten specific CVDs. Countries with higher levels of societal development may bear a relatively higher CVD burden except for rheumatic heart disease, with the extent of inequality changing over time.

Sociodemographic inequities in food allergy: Insights on food allergy from birth cohorts.

A large and growing corpus of epidemiologic studies suggests that the population-level burden of pediatric FA is not equitably distributed across major sociodemographic groups, including race, ethnicity, household income, parental educational attainment, and sex. As is the case for more extensively studied allergic disease states such as asthma and atopic dermatitis epidemiologic data suggest that FA may be more prevalent among certain populations experiencing lower socioeconomic status (SES), particularly those with specific racial and ethnic minority backgrounds living in highly urbanized regions. Emerging data also indicate that these patients may also experience more severe FA-related physical health, psychosocial, and economic outcomes relating to chronic disease management. However, many studies that have identified sociodemographic inequities in FA burden are limited by cross-sectional designs that are subject to numerous biases. Compared with cross-sectional study designs or cohorts established later in life, birth cohorts offer advantages relative to other study designs when investigators seek to understand causal relationships between exposures occurring during the prenatal or postnatal period and the atopic disease status of individuals later in life. Numerous birth cohorts have been established across recent decades, which include evaluation of food allergy-related outcomes, and a subset of these also have measured sociodemographic variables that, together, have the potential to shed light on the existence and possible etiology of sociodemographic inequities in food allergy. This manuscript reports the findings of a comprehensive survey of the current state of this birth cohort literature and draws insights into what is currently known, and what further information can potentially be gleaned from thoughtful examination and further follow-up of ongoing birth cohorts across the globe.

[Socioeconomic deprivation and premature mortality in Germany, 1998-2021 : An ecological study with what-if scenarios of inequality reduction]. / Sozioökonomische Deprivation und vorzeitige Sterblichkeit in Deutschland 1998­2021 : Eine ökologische Studie mit What-if-Szenarien der Ungleichheitsreduktion.

BACKGROUND: Earlier mortality in socioeconomically disadvantaged population groups represents an extreme manifestation of health inequity. This study examines the extent, time trends, and mitigation potentials of area-level socioeconomic inequalities in premature mortality in Germany. METHODS: Nationwide data from official cause-of-death statistics were linked at the district level with official population data and the German Index of Socioeconomic Deprivation (GISD). Age-standardized mortality rates before the age of 75 were calculated stratified by sex and deprivation quintile. A what-if analysis with counterfactual scenarios was applied to calculate how much lower premature mortality would be overall if socioeconomic mortality inequalities were reduced. RESULTS: Men and women in the highest deprivation quintile had a 43% and 33% higher risk of premature death, respectively, than those in the lowest deprivation quintile of the same age. Higher mortality rates with increasing deprivation were found for cardiovascular and cancer mortality, but also for other causes of death. Socioeconomic mortality inequalities had started to increase before the COVID-19 pandemic and further exacerbated in the first years of the pandemic. If all regions had the same mortality rate as those in the lowest deprivation quintile, premature mortality would be 13% lower overall. DISCUSSION: The widening gap in premature mortality between deprived and affluent regions emphasizes that creating equivalent living conditions across Germany is also an important field of action for reducing health inequity.

Development and validation of a Context-sensitive Positive Health Questionnaire (CPHQ): A factor analysis and multivariate regression study.

BACKGROUND: The concept of Positive Health (PH) has gained increasing attention as a way of measuring individuals' ability to adapt in the face of contextual challenges. However, a suitable measurement instrument for PH that encompasses contextual factors has not yet been developed. This paper responds to this need by developing a Context-specific Positive Health (CPH) measurement instrument that aligns with the Capability Approach (CA). METHODS: The measurement instrument was developed and tested among a representative sample of 1002 Dutch internet survey panel members with diverse sociodemographic backgrounds. The instrument was developed in two stages: a preparation phase consisting of focus groups and expert consultations, and a validation among a representative panel of Dutch citizens. The goal of the preparation phase, was to pilot test and refine previously proposed Positive Health questionnaires into an initial version of the CPHQ. The validation phase aimed to examine the initial CPHQ's factorial validity using Factor Analysis, and its concurrent validity using Multivariate Regression Analysis. RESULTS: The developed questionnaire demonstrated adequate factorial and concurrent validity. Furthermore, it explicitly includes an assessment of resilience, this being a key component of PH. CONCLUSIONS: The introduced measurement tool, the CPHQ, comprises 11 dimensions that we have labeled as follows: relaxation, autonomy, fitness, perceived environmental safety, exclusion, social support, financial resources, political representation, health literacy, resilience, and enjoyment. In this article, we present four major contributions. Firstly, we embedded the measurement in a theoretical framework. Secondly, we focused the questionnaire on a key concept of Positive Health - the "ability to adapt." Thirdly, we addressed issues of health inequality by considering contextual factors. Finally, we facilitated the development of more understandable measurement items.

Why is there a gap in self-rated health among people with hypertension in Zambia? A decomposition of determinants and rural‒urban differences.

BACKGROUND: Hypertension affects over one billion people globally and is one of the leading causes of premature death. Low- and middle-income countries, especially the sub-Saharan Africa region, bear a disproportionately higher share of hypertension globally. Recent evidence shows a steady shift in the burden of hypertension from more affluent and urban populations towards poorer and rural communities. Our study examined inequalities in self-rated health (SRH) among people with hypertension and whether there is a rural‒urban gap in the health of these patients. We then quantified factors driving the health gap. We also examined how much HIV accounts for differences in self-rated health among hypertension patients due to the relationship between HIV, hypertension and health in sub-Saharan Africa. METHODS: We utilized the Zambia Household Health Expenditure and Utilization Survey for data on SRH and other demographic and socioeconomic controls. District HIV prevalence information was from the Zambia Population-Based HIV Impact Assessment (ZAMPHIA) survey. We applied the Linear Probability Model to assess the association between self-rated health and independent variables as a preliminary step. We then used the Blinder-Oaxaca decomposition to identify self-rated health inequality between urban and rural patients and determine determinants of the health gap between the two groups. RESULTS: Advanced age, lower education and low district HIV prevalence were significantly associated with poor health rating among hypertension patients. The decomposition analysis indicated that 45.5% of urban patients and 36.9% of rural patients reported good self-rated health, representing a statistically significant health gap of 8.6%. Most of the identified health gap can be attributed to endowment effects, with education (73.6%), district HIV prevalence (30.8%) and household expenditure (4.8%) being the most important determinants that explain the health gap. CONCLUSIONS: Urban hypertension patients have better SRH than rural patients in Zambia. Education, district HIV prevalence and household expenditure were the most important determinants of the health gap between rural and urban hypertension patients. Policies aimed at promoting educational interventions, improving access to financial resources and strengthening hypertension health services, especially in rural areas, can significantly improve the health of rural patients, and potentially reduce health inequalities between the two regions.

Shaping research for people living with co-existing mental and physical health conditions: A research priority setting initiative from the United Kingdom.

INTRODUCTION: Those with severe and enduring mental ill health are at greater risk of long-term physical health conditions and have a reduced life expectancy as a result. Multiple factors compound this health inequality, and the need for setting research priorities in this area is highlighted with physical and mental healthcare services being separate, and limited multimorbidity research. METHODS: The aim of this exercise was to work in partnership with healthcare professionals and carers, family, friends and individuals with lived experience of both mental and physical health conditions, to set research priorities to help people with mental health conditions to look after their physical health. The exercise was guided by the James Lind Alliance approach. For this, a steering group was set up, two surveys were completed and a final priority workshop was conducted. RESULTS: This priority setting exercise guided by people's needs and lived experience has produced a set of well-defined research topics. Initially, 555 research questions were suggested in the first survey, which were refined to 54 questions for the second survey. A priority setting workshop was then conducted to get the final 10 priorities. CONCLUSIONS: Taking these topics forward to improve services and treatment for both mental and physical ill health may in turn improve physical health and lessen the reduced life expectancy of those living with mental ill health. PATIENT OR PUBLIC CONTRIBUTION: This work was completed in collaboration with people who have lived experience of mental ill health and physical health conditions, as well as carers, family and friends. Their contribution has been significant for this work from piloting surveys, amending language used and educating the researchers and contributing to this paper. The initial work was completed with a steering group and continued with surveys and workshops.

The regional disparities in liver disease comorbidity among elderly Chinese based on a health ecological model: the China Health and Retirement Longitudinal Study.

PURPOSE: This study aimed to investigate the risk factors for liver disease comorbidity among older adults in eastern, central, and western China, and explored binary, ternary and quaternary co-morbid co-causal patterns of liver disease within a health ecological model. METHOD: Basic information from 9,763 older adults was analyzed using data from the China Health and Retirement Longitudinal Study (CHARLS). LASSO regression was employed to identify significant predictors in eastern, central, and western China. Patterns of liver disease comorbidity were studied using association rules, and spatial distribution was analyzed using a geographic information system. Furthermore, binary, ternary, and quaternary network diagrams were constructed to illustrate the relationships between liver disease comorbidity and co-causes. RESULTS: Among the 9,763 elderly adults studied, 536 were found to have liver disease comorbidity, with binary or ternary comorbidity being the most prevalent. Provinces with a high prevalence of liver disease comorbidity were primarily concentrated in Inner Mongolia, Sichuan, and Henan. The most common comorbidity patterns identified were "liver-heart-metabolic", "liver-kidney", "liver-lung", and "liver-stomach-arthritic". In the eastern region, important combination patterns included "liver disease-metabolic disease", "liver disease-stomach disease", and "liver disease-arthritis", with the main influencing factors being sleep duration of less than 6 h, frequent drinking, female, and daily activity capability. In the central region, common combination patterns included "liver disease-heart disease", "liver disease-metabolic disease", and "liver disease-kidney disease", with the main influencing factors being an education level of primary school or below, marriage, having medical insurance, exercise, and no disabilities. In the western region, the main comorbidity patterns were "liver disease-chronic lung disease", "liver disease-stomach disease", "liver disease-heart disease", and "liver disease-arthritis", with the main influencing factors being general or poor health satisfaction, general or poor health condition, severe pain, and no disabilities. CONCLUSION: The comorbidities associated with liver disease exhibit specific clustering patterns at both the overall and local levels. By analyzing the comorbidity patterns of liver diseases in different regions and establishing co-morbid co-causal patterns, this study offers a new perspective and scientific basis for the prevention and treatment of liver diseases.

Racial-Ethnic disparities in stroke prevalence among patients with heart failure.

Racial-ethnic disparities exist in the prevalence and outcomes of heart failure (HF) and are presumed to be related to differences in cardiovascular risk factor burden and control. There is little data on stroke disparities among patients with HF or the factors responsible. We hypothesized disparities in stroke prevalence exist among patients with HF in a manner not fully explained by burden of cardiovascular disease. We analyzed data from the National Health and Nutrition Examination Survey (1999-2014). Cardiovascular profiles were compared by race/ethnicity. Using survey-weighted models, effect modification of the relationship between HF and stroke by race/ethnicity was examined adjusting for cardiovascular profiles. Of 40,437 participants, 2.5 % had HF. The HF cohort had a greater proportion of White and Black participants (77 % vs 74 % and 15 % vs 12 %, respectively) and fewer participants of Hispanic ethnicity (8 % vs 14 %). Stroke was 8 times more prevalent in HF (19.6 % vs 2.3 %, <0.001). Among individuals with HF, race-ethnic differences were identified in the prevalence and mean values of vascular risk factors but were largely driven by higher rates in Black participants. There was significant interaction between HF and race/ethnicity; HF increased the odds of stroke over 7-fold in participants of Hispanic ethnicity (aOR: 7.84; 95 % CI: 4.11-15.0) but to a lesser extent in Black and White participants (Black aOR: 2.49; 95 % CI: 1.72-3.60; White aOR: 3.36; 95 % CI: 2.57-4.40). People of Hispanic ethnicity with HF have a disproportionately higher risk of stroke in a manner not fully explained by differences in vascular risk profiles.

Improving health and reducing health inequality: An innovation of digitalization?

RATIONALE: The association between digitalization and individual health has attracted increasing attention from both scholars and policymakers. Existing research, however, has not agreed on whether digitization can improve health or reduce health inequality. OBJECTIVE: The purpose of this study is to clarify whether and how the development of digitalization may be related to health and health disparities. METHODS: We rely on China Family Panel Studies (CFPS) surveys from 2012 to 2018 to obtain a sample of 82,471 observations to explore the impact of digitalization on self-rated health and health inequality and its transmission mechanisms. The hypotheses are tested by Ordinary Least Squares Modeling. RESULTS: As expected, digitalization is significantly and positively correlated with self-rated health. Furthermore, the development of digitalization has led to a notable decrease in health inequality. The influencing mechanisms of digitalization include income, healthcare consumption and health behaviors. Both dimensions of digitalization-internet development and digital finance-generate significant effects and the effects of internet development are greater. CONCLUSIONS: This study is the first to systematically investigate the impact of digitalization development on health and health inequality. Our findings provide evidence for the health promotion theory by clarifying the benefits of digitalization in improving residents' health and reducing health inequality. Therefore, utilizing the tools of digitalization efficiently could be a focus of policymakers aiming to accomplish the SDGs' health targets.

Health shocks, health and labor market dynamics, and the socioeconomic-health gradient in older Singaporeans.

Health disparities by socioeconomic status (SES) are potentially shaped by how an individual's health status and work capacity are affected by the incidence of illness, and how these effects vary across SES groups. We examine the impact of illness on the dynamics of health status, work activity and income in older Singaporeans to gain new insights on how ill health shapes the socioeconomic health gradient. Our data comprise of 60 monthly waves (2015-2019) of panel survey data containing 445,464 person-observations from 11,827 unique respondents from Singapore. We apply a matched event-study difference-in-differences research design to track how older adults' health and work changes following the diagnosis of heart disease and cancer. Our focus is how the dynamics of health and work differ for different SES groups, which we measure by post-secondary education attainment. We find that the dynamics of how self-assessed health recovers following the diagnosis of a new heart disease or cancer do not vary significantly across SES groups. Work activity however varies significantly, with less well-educated males and females being significantly less likely to be in active employment and have income from work, and are marginally more likely to be in retirement following the onset of ill health. By contrast, more well-educated males work more, and earn more a year after the health shock than they did before they fell ill. Occupational differences likely played a role in how work activity of less well-educated men decline more after an acute health event compared with more well-educated men. Understanding the drivers of the socioeconomic health gradient necessitates a focus on individual-level factors, as well as system-level influences, that affect health and work.

Influencing factors, gender differences and the decomposition of inequalities in cognitive function in Chinese older adults: a population-based cohort study.

BACKGROUND: Evidence remains limited and inconsistent for assessing cognitive function in Chinese older adults (CFCOA) and inequalities in cognitive function in Chinese older adults (ICFCOA) and exploring their influencing factors and gender differences. This study aimed to identify influencing factors and inequality in CFCOA to empirically explore the existence and sources of gender differences in such inequality and analyse their heterogeneous effects. METHODS: Based on data from the China Health and Retirement Longitudinal Study (CHARLS) for three periods from 2011 to 2015, recentered influence function unconditional quantile regression (RIF-UQR) and recentered influence function ordinary least squares (RIF-OLS) regression were applied to assess influencing factors of CFCOA, while grouped treatment effect estimation, Oaxaca-Blinder decomposition, and propensity score matching (PSM) methods were conducted to identify gender differences in ICFCOA and influencing factors, respectively. RESULTS: The results showed heterogeneous effects of gender, age, low BMI, subjective health, smoking, education, social interactions, physical activity, and household registration on CFCOA. Additionally, on average, ICFCOA was about 19.2-36.0% higher among elderly females than among elderly males, mainly due to differences in characteristic effects and coefficient effects of factors such as marital status and education. CONCLUSIONS: Different factors have heterogeneous and gender-differenced effects on CFCOA and ICFCOA, while the formation and exacerbation of ICFCOA were allied to marital status and education. Considering the severe ageing and the increasing incidence of cognitive decline, there is an urgent need for the government and society to adopt a comprehensive approach to practically work for promoting CFCOA and reducing ICFCOA.

Protocol of the study: Multilevel community-based mental health intervention to address structural inequities and adverse disparate consequences of COVID-19 pandemic on Latinx Immigrants and African refugees.

The NIMH-funded Multilevel Community-Based Mental Health Intervention to Address Structural Inequities and Adverse Disparate Consequences of COVID-19 Pandemic on Latinx Immigrants and African Refugees study aims to advance the science of multilevel interventions to reduce the disparate, adverse mental health, behavioral, and socioeconomic consequences of the COVID-19 pandemic that are a result of complex interactions between underlying structural inequities and barriers to health care. The study tests three nested levels of intervention: 1) an efficacious 4-month advocacy and mutual learning model (Refugee and Immigrant Well-being Project, RIWP); 2) engagement with community-based organizations (CBOs); and 3) structural policy changes enacted in response to the pandemic. This community-based participatory research (CBPR) study builds on long-standing collaboration with five CBOs. By including 240 Latinx immigrants and 60 African refugees recruited from CBO partners who are randomly assigned to treatment-as-usual CBO involvement or the RIWP intervention and a comparison group comprised of a random sample of 300 Latinx immigrants, this mixed methods longitudinal waitlist control group design study with seven time points over 36 months tests the effectiveness of the RIWP intervention and engagement with CBOs to reduce psychological distress, daily stressors, and economic precarity and increase protective factors (social support, access to resources, English proficiency, cultural connectedness). The study also tests the ability of the RIWP intervention and engagement with CBOs to increase access to the direct benefits of structural interventions. This paper reports on the theoretical basis, design, qualitative and quantitative analysis plan, and power for the study.

Reducing CVD health disparities in Black women through addressing social determinants of health (SDOH): a scoping review.

Cardiovascular disease (CVD) disparities among Black American women can be linked directly to social determinants of health (SDOH). This scoping review examines the breadth and depth of existing literature on CVD risk reduction interventions in young-to-middle-aged women that address SDOH. We searched PubMed, CINAHL, Scopus and Google Scholar for relevant peer-reviewed articles published in English. We included studies if they reported on the feasibility, acceptability, or findings of a CVD risk reduction intervention, addressed at least one SDOH domain, and included Black women 18-45 years of age. Of the 2,533 studies screened, 5 studies were eligible for inclusion. Specific SDOH domains addressed included: social and community context and health-care access and quality. All but one study reported culturally tailored intervention components. Feasibility and acceptability of culturally tailored interventions was high among included studies examining this outcome. Recommendations for future research focused on the need for additional interventions that were culturally tailored to young- and middle-aged Black women. Future research should work to address existing evidence gaps via development and implementation of culturally tailored, CVD risk reduction and disease prevention interventions for young-to-middle-aged Black women that focus addressing SDOH, as these types of interventions demonstrate promise for reducing CVD health disparities among Black women.

Estimating Intervention Impact: Racial Disparities in Phthalate Exposure and Preterm Birth.

Pooling data from 16 studies, researchers estimated that, among Black and Hispanic/Latina participants, reducing disparities in phthalate exposure during pregnancy might also reduce preterm birth rates.

Editorial: Equity, diversity and inclusion in child and adolescent mental health - equality of opportunities should be every child's right and every society's obligation.

Socio-ecological factors are major determinants of poor mental health across the life span. These factors can lead to health inequalities, which refer to differences in the health of individuals or groups (Kirkbride et al., 2024). Health inequity "is a specific type of health inequality that denotes an unjust, avoidable, systematic and unnecessary difference in health" (Arcaya, Arcaya, & Subramanian, 2015). Among several intersecting social adversities, inequity is one of the most pervasive contributors to poor mental health across all regions (Venkatapuram & Marmot, 2023). Structural inequity creates institutional power structures that marginalise large sections of the population and concentrate resources in the hands of a small minority (Shim, Kho, & Murray-García, 2018). The world is now more prosperous than it has ever been, yet the world is witnessing more within country inequality with the vast majority of the world's resources in the hands of a small minority of individuals or regions (United Nations, 2020).

An intersectionality framework for identifying relevant covariates in health equity research.

Introduction: Health equity research uses impact evaluations to estimate the effectiveness of new interventions that aim to mitigate health inequities. Health inequities are influenced by many experiential factors and failure of research to account for such experiential factors and their potential interactions may jeopardize findings and lead to promoted methods that may unintentionally sustain or even worsen the targeted health inequity. Thus, it is imperative that health equity impact evaluations identify and include variables related to the circumstances, conditions, and experiences of the sample being studied in analyses. In this review, we promote intersectionality as a conceptual framework for brainstorming important yet often overlooked covariates in health equity related impact evaluations. Methods: We briefly review and define concepts and terminology relevant to health equity, then detail four domains of experiential factors that often intersect in ways that may obscure findings: Biological, Social, Environmental, and Economic. Results: We provide examples of the framework's application to lupus-related research and examples of covariates used in our own health equity impact evaluations with minority patients who have lupus. Discussion: Applying an intersectionality framework during covariate selection is an important component to actualizing precision prevention. While we do not provide an exhaustive list, our aim is to provide a springboard for brainstorming meaningful covariates for health equity evaluation that may further help unveil sustainable solutions to persisting health inequities.

Disparities in incidence and survival for patients with Ewing sarcoma in Florida.

BACKGROUND: Ewing sarcoma (ES) is a malignant bone tumor most commonly affecting non-Hispanic White (NHW) adolescent males, though recognition among Hispanic individuals is rising. Prior population-based studies in the United States (US), utilizing Surveillance, Epidemiology, and End Results (SEER) have shown higher all-cause mortality among White Hispanics, Blacks, and those of low socioeconomic status (SES). Florida is not part of SEER but is home to unique Hispanic populations including Cubans, Puerto Ricans, South Americans that contrasts with the Mexican Hispanic majority in other US states. This study aimed to assess racial/ethnic disparities on incidence and survival outcomes among this diverse Florida patient population. METHODOLOGY: Our study examined all patients diagnosed with osseous ES (2005-2018) in Florida (n = 411) based on the state's population-based cancer registry dataset. Florida Age-adjusted Incidence Rates (AAIRs) were computed by sex and race-ethnicity and compared to the equivalent populations in SEER. Cause-specific survival disparities among Florida patients were examined using Kaplan-Meier analysis. Univariable and multivariable analyses using Cox regression were performed for race/ethnicity, with adjustment for age, sex, year of diagnosis, site of disease, staging, SES, and insurance type. RESULTS: There was a significantly higher incidence of osseous ES in Florida Hispanic males (AAIR 2.6/1,000,000); (95% CI: 2.0-3.2 per 1,000,000; n = 84) compared to the SEER Hispanic males (AAIR 1.2/1,000,000;1.1-1.4 per 1,000,000; n = 382). Older age, distant metastasis, lack of chemotherapy or surgical resection were statistically significant determinants of poor survival while SES, insurance status and race-ethnicity were not. However, among nonmetastatic ES, Florida Hispanics had an increased risk of death compared to Florida NHW (adjusted Hazard Ratio 2.32; 95%CI: 1.20-4.46; p = 0.012). CONCLUSIONS: Florida Hispanic males have a higher-than-expected incidence of osseous ES compared to the US. Hispanics of both sexes show remarkably worse survival for nonmetastatic disease compared to NHW. This disparity is likely multifactorial and requires further in-depth studies.