Annals of Epidemiology

ImportancePersistent racial and ethnic disparities in breast and prostate cancer mortality are well documented. Most prior studies emphasize between-group differences and rely on population averages or single composite measures of social disadvantage, which can obscure high-need communities within groups. How socio-behavioral determinants of health vary within groups across local gradients of cancer mortality remains incompletely characterized. A framework that combines race- and cancer-specific mortality with local, domain-level socio-behavioral profiles may help identify where burden is greatest and which specific barriers warrant prioritization. ObjectiveTo determine how socio-behavioral risk relates to breast and prostate cancer mortality within racial and ethnic groups and to characterize domain-specific behavioral profiles across low-, moderate- and high-mortality counties to inform targeted, equity-oriented cancer control strategies. DesignCross-sectional study of U.S. counties. Setting United States, county-level analysis. Participants3,141 U.S. counties, stratified within Non-Hispanic White, Non-Hispanic Black, and Hispanic populations. ExposuresCounty-level socio-behavioral determinants of health measured using a composite index comprising seven domains: community solidarity; education, health literacy, and digital connectivity; quality of care; housing and environmental risk; economic livelihoods; lifestyle behaviors; and touchpoints with care. Main outcomes and measuresRace/ethnicity-specific, age-adjusted breast and prostate cancer mortality rates (2018-2022) and county-level socio-behavioral risk scores. Counties were grouped into mortality tertiles within each race/ethnicity-by-cancer-stratum. ResultsAcross groups, higher socio-behavioral risk was associated with higher breast and prostate cancer mortality. For breast cancer, socio-behavioral risk increased monotonically across mortality tertiles for all groups, with the largest within-group increases among Hispanic and Non-Hispanic Black women. For prostate cancer, risk generally increased across mortality tertiles for all groups. Although Hispanic populations had lower population-average mortality, high-mortality Hispanic counties exhibited pronounced risk in lifestyle behaviors, economic livelihoods, and touchpoints with care. Domain patterns associated with high mortality varied by race, ethnicity, and cancer type, with touchpoints with care and economic livelihoods consistently prominent. Conclusions and relevanceWithin-group heterogeneity in socio-behavioral risk is substantial across U.S. counties. Linking population-specific, domain-level socio-behavioral profiles to cancer mortality may support more precise and equity-oriented cancer control strategies than reliance on group averages or composite indices. Key pointsO_ST_ABSQuestionC_ST_ABSWithin racial and ethnic groups, how do socio-behavioral determinants of health vary across US counties with low, moderate, and high breast and prostate cancer mortality? FindingsIn this cross-sectional study, higher county-level socio-behavioral risk was associated with higher breast and prostate cancer mortality across racial and ethnic groups. Race/ethnicity-specific, domain-level profiles revealed within-group heterogeneity, including persistently elevated risk among Non-Hispanic Black populations and pronounced domain-specific gaps in high-mortality Hispanic counties. MeaningLinking population-specific socio-behavioral profiles to local cancer mortality can guide more precise and equity-oriented prioritization of intervention domains and geographies than reliance on group averages or composite indices.

ABSTRACT: Importance: Rural urban disparities in chronic disease prevalence are well established; however, the extent to which individual level socioeconomic status (SES) contributes to these disparities remains unclear. Objective: To examine the associations of rurality and SES with the prevalence of five most burdensome chronic diseases among adults. Design: We conducted a retrospective cross sectional study of adults across 27 Upper Midwest counties using the Expanded Rochester Epidemiology Project (E REP) medical record data linkage system to evaluate associations between rurality, SES and chronic disease prevalence. Prevalence of clinically diagnosed asthma, diabetes, hypertension, coronary heart disease, and mood disorders was identified from International Classification of Diseases ICD9/10 codes over a five-year period (2014 to 2019). Setting: Population based Participants: Adults over 18 years residing in the 27 E REP counties, excluding those missing rural urban residence status. Exposure: HOUSES index, an individual level measure of SES, served as the primary measure, while rurality based on Rural Urban Commuting Area (RUCA) codes 4-10 was the secondary measure. Main Outcome: Prevalence of the five clinically diagnosed chronic diseases was identified using ICD9/10 codes from 2014 to 2019. Mixed effect logistic regression models were used and adjusted for demographics and general medical examination receipt, to assess rural urban and SES differences for prevalence of each chronic disease. Results: Among 455,802 adults with available HOUSES index, 42.8% lived in rural areas, 53.8% were female and 87.4% were non-Hispanic White. In the unadjusted analysis, rural and urban populations showed comparable asthma and CHD prevalence, while mood disorders, hypertension, and diabetes were more common in urban areas. After adjusting for demographic factors and healthcare utilization, rural urban differences were no longer statistically significant, whereas SES remained strongly associated with all diseases in a dose response manner (e.g., adjusted Odds Ratio for hypertension (ref: HOUSES index Q4): 1.14, 1.27, and 1.42 for HOUSES index Q3, Q2, and Q1, respectively). Conclusions and Relevance: Individual level SES measured by the HOUSES index, was more strongly associated with chronic disease prevalence than rurality, supporting its integration into population health assessment and risk stratification.

ImportanceLung cancer mortality in the United States has fallen substantially in recent decades, yet the relative influence of behavioral, environmental, socioeconomic, and therapeutic factors and their sex specific contributions remains unclear. Understanding these drivers is essential to sustain progress and reduce persistent disparities. ObjectiveTo quantify how behavioral, environmental, socioeconomic, and therapeutic determinants collectively shaped US lung cancer mortality from 1994 to 2020, assess sex specific differences, and forecast mortality trajectories through 2030 using an integrated machine learning framework. Design, Setting, and ParticipantsEcological time series study using publicly available national data from 1994 to 2020. Sex stratified analyses were conducted integrating lung cancer mortality, smoking prevalence, fine particulate matter PM2.5 exposure, Human Development Index HDI, per capita healthcare expenditure, healthcare inflation, insurance coverage, income inequality, and annual drug approvals. ExposuresBehavioral smoking, environmental PM2.5, socioeconomic HDI health expenditure inflation, uninsurance inequality, and therapeutic drug approval indicators. Main Outcomes and MeasuresAge-standardized lung cancer mortality per 100000 population. Temporal changes were modeled using Joinpoint regression. Concurrent associations were assessed using multivariable and elastic net regression, and forecasts were estimated with AutoRegressive Integrated Moving Average models with exogenous variables ARIMAX. ResultsFrom 1994 to 2020, mortality declined by 59 percent in men, from 52.9 to 21.7 per 100000, and by 40 percent in women, from 26.7 to 15.9 per 100000, with faster declines after 2015. Smoking and PM2.5 decreased by more than 45 percent but remained strongly correlated with mortality. In elastic net models, PM2.5 was the strongest predictor for men, while smoking was the strongest predictor for women. Per capita expenditure and HDI ranked higher for men, while uninsurance and income inequality were strong predictors for women. Mortality declines occurred during periods of major approvals of lung cancer drugs. Forecasts suggest continued but slower declines through 2030, with projected rates of 20.2 and 14.9 deaths per 100000 in men and women, respectively. Conclusions and RelevanceSex specific declines in lung cancer mortality reflect different dominant correlates, with air pollution more important in men and smoking more important in women, while socioeconomic conditions and therapeutic advances also influence trends. Continued tobacco control, improved air quality, and equitable access to screening and modern treatment are essential to sustain further reductions in mortality.

BackgroundHeart failure (HF), atrial fibrillation (AF)/atrial flutter (AFL) and sepsis commonly co-occur in hospitalized patients. This study determines temporal mortality trends associated with concurrent HF, AF/AFL, and sepsis among adults across demographic and geographic groups in the United States. MethodsThe CDC Wonder database was utilized to extract age-adjusted mortality rates (AAMR) per 100,000 for deaths listing HF, AF/AFL, and sepsis. Trends were analyzed by age, race/ethnicity, region, and sex. Joinpoint regression calculated the annual percent change (APC) and average annual percent change (AAPC) for AAMR with 95% CI. ResultsFrom 1999 to 2023, there were 1,749,565 deaths involving HF, AF/AFL, and sepsis. AAMR doubled (1999: 11.79 vs 2020: 23.87 per 100,000), with a critical 2012 inflection point accelerating mortality from 1.29% to 6.42% annually. White individuals had steepest post-2012 acceleration (6.67%), surpassing Black individuals by 2020 (24.88 vs 20.80 per 100,000). Males had higher AAMRs than females (28.69 vs 20.19 per 100,000 in 2020). Middle-aged adults (45-64 years) showed highest acceleration (9.98-10.30%), nearly double those aged [≥]85 years (5.82%). The Midwest and South had steepest increases (7.07% and 7.11%). During 2018-2023, mortality continued increasing at 6.11% annually without stabilization. ConclusionsMortality involving HF, AF/AFL and sepsis doubled from 1999-2023 with sustained acceleration and no post-pandemic stabilization. Targeted interventions should focus on males, middle-aged adults, and high-risk regions with enhanced post-discharge care. Project OverviewO_LIThis is retrospective cohort study using CDC WONDER data (1999-2023). C_LIO_LIWe analyzed 1,749,565 deaths involving all three conditions, heart failure, atrial fibrillation/flutter, and sepsis. C_LIO_LITo our knowledge, this is the first population-level study examining mortality trends due to the coexistence of heart failure, atrial fibrillation/flutter, and sepsis. C_LI Key FindingsO_LIverall age-adjusted mortality rates doubled from 11.79 to 23.87 per 100,000 (1999-2020). C_LIO_LIwas a critical inflection point in 2012 with marked acceleration thereafter. C_LIO_LIfindings revealed significant demographic disparities regarding age, sex, race/ethnicity, and region. C_LIO_LIacceleration through 2023 was found without post-pandemic. stabilization. C_LI

Decarceration, the process of reducing incarceration rates, is increasingly viewed as a strategy to improve population health and reduce health inequities. Yet, evidence on its health effects remains limited and may depend on how decarceration occurs. We developed a national decarceration "atlas" to characterize the mechanisms and dynamics of decarceration across more than 2,800 U.S. counties between 1999-2019. Using longitudinal county-level jail and prison data, we identified four operational types of decarceration: reduced pretrial detention, reduced jail time, reduced prison admissions, and reduced prison time. Nearly two-thirds of counties, including most rural counties, experienced at least one decarceration type during the study period. Declines typically followed periods of recent growth and were relatively modest in magnitude, with median reductions of 19% to 38% ten years after onset. The frequency and timing of decarceration types varied by urbanicity, state, and region, with many counties experiencing multiple mechanisms concurrently. Validation against documented case studies of state and local decarceration demonstrated alignment with known legislative and de facto drivers, while revealing substantial sub-state heterogeneity. This atlas provides a scalable framework and hypothesis-generating resource to support comparative studies of decarceration's heterogeneous health effects.

ObjectiveTo examine racial and ethnic inequities in wealth and health among New York City adults. MethodsWe conducted the 2024 NYC Racial Wealth and Health Gap Survey using a stratified quota sample of 2,866 adults across 11 racial and ethnic groups. Wealth was measured through self-reported assets and debts, and health through self-reported status and psychological distress. We calculated descriptive statistics across groups and used quantile regression to test for significant differences in assets and debts compared with White respondents. ResultsWhite and Chinese respondents reported the highest median net worth ($142,000 and $320,000), while Other Black and Puerto Rican respondents reported the lowest ($25 and $160). Lower wealth was associated with poorer health and higher psychological distress. Prevalence of excellent or very good health increased from 36% in the lowest wealth quartile to 59% in the highest, with the steepest wealth-health gradients among Chinese and Multiracial respondents. ConclusionWealth inequities are linked to health disparities across racial and ethnic groups in New York City. Surveillance of local wealth data can guide equity-focused policies addressing economic and racial drivers of health disparities.

ObjectiveTo examine whether the association between smoking status and cardiovascular (CV) mortality differs by arterial stiffness, assessed by pulse pressure index (PPI), among U.S. adults without baseline cardiovascular disease (CVD). MethodsUsing data from the National Health and Nutrition Examination Survey (NHANES) 2005-2016, we analyzed 16,605 adults aged 40-79 years without baseline CVD, with mortality follow-up through December 31, 2019. PPI was calculated as (systolic blood pressure [SBP] - diastolic blood pressure [DBP])/SBP and split at the cohort median (0.415) as low versus high. Smoking status was classified as never, former, or current, yielding six joint PPI-smoking groups. Cox models estimated hazard ratios (HRs) and 95% confidence intervals (CIs) for CV mortality, adjusting for demographics and cardiometabolic risk factors. ResultsOver a median follow-up of 8.4 years, 518 CV deaths (3.1%) occurred. Among individuals with low PPI, former smokers had CV mortality comparable to never smokers (HR 0.86, 95% CI 0.56-1.33), whereas current smokers remained at elevated risk (HR 2.51, 95% CI 1.65-3.81). This pattern was not observed in the high PPI stratum, where both former and current smokers had significantly higher CV mortality than never smokers. ConclusionFormer smokers with low PPI had CV mortality similar to never smokers, whereas former smokers with high PPI remained at elevated risk. These findings suggest that the CV benefit of smoking cessation may be greatest when arterial stiffness is minimal, supporting early cessation before substantial vascular aging occurs.

Many Asian American (AA) subgroups experience disproportionate rates of cardiometabolic (CMB) conditions, yet the contextual drivers of these disparities remain unclear. Little is known about the role of Asian residential segregation, often conceptualized as Asian enclaves, with limited prior work largely ignoring region of origin and nativity. Using six years of population-based survey data from New York City (N>6,000 AAs) linked with multiple sources of community data, we examine how residence in ethnicity-specific enclaves relates to CMB risks (obesity, hypertension, and diabetes), whether these associations differ by nativity, and the extent to which neighborhood socioeconomic conditions, the built environment, social cohesion, and institutional support account for observed associations. Our combined concentration-based and spatial clustering analysis identified five East Asian enclaves and six South Asian enclaves, with no geographic overlap between the two. Logistic regression analyses show that residence in an East Asian enclave was associated with lower odds of obesity (OR=0.63), while residence in a South Asian enclave was linked to higher odds of diabetes (OR=1.42) and hypertension (OR=1.46). These associations were present only among foreign-born individuals. After adjusting for neighborhood characteristics, the lower obesity risk in East Asian enclaves persisted, while elevated risks in South Asian enclaves were partly reduced. Both suggest a role for unmeasured enclave factors, including cultural and food environments. Our findings challenge the view that Asian enclaves are monolithically health-promoting and redirects scholarly attention toward disaggregated approaches to investigating AA health disparities.

Background: Children with congenital heart disease (CHD) require specialized care and may face worse outcomes if they experience food insecurity (FI). FI is associated with poor nutrition, hospitalizations, and developmental delays, compounding cardiac risks. Limited research evaluated impact of FI on health status among children with CHD. This study examines socioeconomic factors and the relationship between FI and health status in children with CHD. Methods: 2023 National Survey of Children?s Health (NSCH) data were used to compare rates of FI between children ages < 17 years with and without CHD and to assess overall health status of those with CHD. Descriptive, univariate, and multivariable logistic regression were utilized. Results: Among 53,477 children, 1,233(2%) had CHD. FI was reported in 35% of children with CHD vs. 27% without CHD(p=0.005). After adjustment, children with CHD had higher odds of FI (OR 1.49; 95% CI: 1.05?2.12). Hispanic ethnicity, residence in Midwest or South, lower household education, and lower poverty index were significantly associated with FI. Households receiving food assistance had higher FI. Living in grandparent household was associated with lower odds of FI. Within the CHD subgroup, 5% reported fair or poor health. Children with CHD experiencing FI had greater odds of fair or poor health than those without FI (OR 3.91, 95% CI 1.70?9.02; p=0.001). Conclusions: Children with CHD face higher odds of FI, which is strongly associated with worse reported health. Addressing socioeconomic vulnerability and FI may improve outcomes and reduce disparities in this high-risk population through targeted screening and intervention strategies nationwide. Keywords: Congenital Heart Disease, Food Insecurity Screening, National Survey of Children?s Health (NSCH), Health Disparities

BackgroundConcern about long-term health effects of repetitive head impacts in football has increased, but it remains unclear whether position-specific exposure patterns were associated with differential long-term all-cause mortality among elite players across the 20th century. MethodsWe conducted two retrospective cohort studies of elite male professional football players. The World Cup cohort included all players on the team rosters from FIFA World Cup tournaments (1930-1990), and the UEFA European Cup cohort included all players who appeared in annual quarterfinal, semifinal, or final matches (1956-1991). Vital status was ascertained through archival linkage. Playing position was harmonized into six categories. Age was the time scale. Cox proportional hazards models were stratified by birth cohort and adjusted for origin region; interaction models were used to estimate region-specific marginal hazard ratios. FindingsThe World Cup cohort included 4,223 players (2,330 deaths), and the European Cup cohort included 2,710 players (1,126 deaths). In the World Cup cohort, goalkeepers had lower mortality than midfielders (hazard ratio [HR] 0.73, 95% CI 0.63-0.84), whereas center-forwards had higher mortality (HR 1.27, 95% CI 1.08-1.50); mortality among center-backs was elevated but not statistically significant (HR 1.13, 95% CI 0.98-1.31). In the European Cup cohort, center-backs (HR 1.28, 95% CI 1.07-1.55) and other defenders (HR 1.20, 95% CI 1.02-1.42) had higher mortality than midfielders. Region-stratified marginal estimates indicated that elevated risks for central playing roles were greatest in Northwestern Europe and Central/Eastern Europe. InterpretationAmong footballers active during the 20th century, long-term all-cause mortality differed by playing position and varied by region, with higher risks concentrated in central attacking and defensive roles. These patterns were most pronounced in regions where aerial contests historically predominated, suggesting that long-term health risks associated with professional football participation vary by role-specific exposure profiles.

BackgroundCommercial motorcycle riders are among the most vulnerable road users in low- and middle-income countries and contribute substantially to the burden of road traffic injuries. The use of personal protective equipment (PPE), including helmets and protective clothing, reduces injury severity; however, uptake remains suboptimal. This study evaluated the effectiveness of a theory-driven health education intervention in improving knowledge, attitudes, and use of PPE among commercial motorcycle riders in Cameroon. MethodsA quasi-experimental, non-randomized controlled before-and-after study was conducted in Limbe (intervention) and Tiko (control) Health Districts between August 4, 2024, and April 6, 2025. Participants were recruited from a cohort of commercial motorcycle riders and followed over an eight-month intervention period. The intervention, guided by the Health Belief Model and developed using the Intervention Mapping framework, combined face-to-face sensitization sessions with mobile phone-based educational messaging adapted to participants literacy levels and communication preferences. Data were collected at baseline and endline using structured questionnaires and direct observation checklists. Intervention effects were estimated using difference-in-differences analysis with generalized estimating equations, adjusting for socio-demographic factors. ResultsA total of 313 riders were enrolled at baseline (183 intervention, 130 control), with 249 retained at endline (149 intervention, 100 control). The intervention was associated with significant improvements in PPE knowledge ({beta} = 2.91; 95% CI: 2.14-3.68; p < 0.001) and attitudes ({beta} = 5.76; 95% CI: 4.32-7.21; p < 0.001) compared with the control group. No statistically significant effect was observed for PPE practice scores ({beta} = 0.21; 95% CI: -0.09-0.52; p = 0.171). Among individual PPE items, helmet use increased significantly in the intervention group relative to the control group (AOR = 2.38; 95% CI: 1.19-9.45; p = 0.036), while no significant effects were observed for gloves, trousers, eyeglasses, or closed-toe shoes. ConclusionThe theory-driven health education intervention significantly improved knowledge and attitudes toward PPE and increased helmet use among commercial motorcycle riders but did not lead to broader improvements in the uptake of other protective equipment. These findings highlight the need for complementary structural and policy interventions to address persistent barriers to PPE use in similar low-resource settings. Trial registrationClinicalTrials.gov Identifier: NCT07087444 (registered July 28, 2025, retrospectively)

Pulmonary embolism (PE) is a sudden blockage of lung arteries, usually caused by a blood clot that travels from the deep veins of the legs. As the world becomes more sedentary and lifestyle diseases emerge, deaths from PE are expected to rise in the next 20 years. For instance, the United States records annual deaths of 60 per 100,000 people. The degree to which these deaths are affected by demographic, socioeconomic and environmental predisposing factors as well as how they vary across time and space remains an open science question. In this paper, we conduct a detailed statistical and spatial-temporal study PE mortality counts across US counties from 2005 to 2022. Our study shows that study shows that PE mortality is not randomly distributed in space and time but concentrated in most counties in Arkansas, Mississippi, Kansas, Missouri, Oklahoma, Louisiana, Nebraska, Tennessee, and Texas. We also established that age is a statistically significant predictor (mean coefficient of 0.52) of PE mortality especially in counties of Mississippi, Kansas, Missouri, Tennessee, Illinois, Kentucky, Texas and Virginia. Our results thus provide empirical support for prioritizing regionally targeted PE prevention policies. Furthermore, the adopted county-level analysis uncovered granular geographic patterns that are usually obscured in state or national level analysis. Our study thus provides actionable evidence to support geographically tailored strategies aimed at reducing mortality by pinpointing counties with consistently elevated PE mortality risk at different timescales.

Background Physical activity (PA) and body mass index (BMI) shape cardiovascular risk, particularly in women. Yet, little research exists examining intersectional social axes shaping PA and BMI inequities among women living in the United States (US). Methods Data included women sampled in the 2015-2020 National Health and Nutrition Examination Survey. We used Intersectional Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (I-MAIHDA) via linear models to examine PA (n=,4591) and BMI (n=4,596) inequities across intersectional strata defined by race/ethnicity, age, education, nativity, and work status. We further quantified the contribution of these strata to the observed inequities and estimated additive fixed effects. Results In the null model, intersectional strata explained 4.6% and 13.8% of the variance in PA and BMI inequities, respectively, with 99.2% for PA and 97.5% for BMI explained by age, race/ethnicity, education, nativity, and occupation status. On average, Asian and Black women, those aged 35-49 years, those born outside the US, and those with less than a high school diploma had the lowest predicted mean PA. For BMI, Black and Hispanic/Latino women and those younger than 64 years had the highest mean BMI. Conclusion PA and BMI inequities are mostly explained by race/ethnicity, age, education, nativity, and work status. Our findings offer insights into universal and potential policy-informed health promotion strategies that may be tailored to women with these social identities and lived experiences that have shaped physical activity and body mass index inequities.

World Health Organization recommendations to reduce road deaths were examined to assess the potential reductions that could be realized in countries that have not adopted them. Data from 72 countries on recommended speeding laws, alcohol laws, and vehicle safety standards were analyzed, controlling statistically for differences in average temperatures and population density per square kilometer. Using regression coefficients, estimates of the reductions that would be realized if each countermeasure were adopted in countries not currently employing it were calculated. The coefficient on alcohol laws was not significant, but deaths in these countries would likely decline by about 23 percent if speeding laws were improved. The road death would have been about 55 percent lower if vehicle safety standards for imported vehicles had been adopted. New and used vehicles that did not adhere to the standards were sold in low-income countries. Better data identifying clusters of specific collision types (pedestrians in the dark, animals, fixed objects) could lead to the adoption of countermeasures known to be effective.

BackgroundHelmet use is a proven safety measure that reduces the risk of head injury among cyclists and e-scooter riders. Despite legal requirements for pedal bikes and e-bikes in Australia, compliance varies, particularly among users of electric vehicles. The growing popularity of e-bikes and e-scooters in urban areas presents new public health challenges, yet observational data on helmet use, behavioural determinants, and the effectiveness of safety interventions remain limited. AimPhases 1 and 2 aim to assess helmet use among e-bike, pedal bike, and e-scooter riders in Canberra, and evaluate the impact of health-benefit and legal-penalty signage on compliance. MethodsThis study employs a multi-phase, quasi-experimental observational design across three urban bike paths in Canberra. Phase 1 (Baseline): Helmet use will be recorded via discreet video surveillance, capturing vehicle type, estimated age group, gender presentation, and weather conditions. Phase 2 (Intervention): Two sites will receive signage emphasising either safety benefits or legal penalties, while a third site serves as a control; post-intervention observations will assess changes in helmet compliance. Expected ResultsBaseline helmet use is expected to be higher among pedal bike riders than e-bike and e-scooter riders. Signage interventions are anticipated to increase compliance, with potential variation by message type, vehicle type, and rider demographics. Trial RegistrationAustralian and New Zealand Clinical Trials Registry (ANZCTR) [ACTRN12626000245392]

Background. Young sexual and gender minorities of color face compound health risks shaped by interlocking systems of racism, cisgenderism, and class inequality. Spatial health research documents that place shapes health, but existing methods cannot specify the mechanisms through which spatial configurations produce different health outcomes for differently positioned people. This gap prevents targeted intervention. ObjectiveTo develop and pilot test the Spatial Intersectionality Health Framework (SIHF), which specifies three mechanisms through which space produces intersectional health inequities: Layered (multiple oppressive systems activating simultaneously), Positional (the same space producing different health pathways by intersectional position), and Conditional (nominally protective spaces carrying hidden costs for specific positions). We also introduce and validate Intersectional Geographically-Explicit Ecological Momentary Assessment (IGEMA) as the methodology operationalizing SIHF across three data levels. MethodsThe GeoSense study enrolled 32 young sexual and gender minorities of color (ages 18-29) in New York City. IGEMA was implemented across three integrated levels: (1) GPS mobility tracking via participants personal smartphones, linked to census tract structural exposure indices across n=19 participants; (2) ecological momentary assessment of intersectional discrimination with multilevel modeling of mood, stress, and sleep outcomes; and (3) map-guided qualitative interviews with SIHF mechanism coding and intercoder reliability assessment across 92 coded records from 18 participants. This study was conducted as the pilot for NIH R01HL169503. ResultsAll three SIHF mechanisms were empirically detectable. A compound structural gendered racism index outperformed every single-axis alternative in predicting daily mood (b=-0.048, p=.001) and stress (b=0.121, p<.001). The Positional mechanism accounted for 71% of coded harm experiences. Intercoder reliability for mechanism assignment reached kappa=0.824 at Stage 2 reconciliation. Daily intersectional discrimination predicted greater sleep disturbance (b=1.308, p=.004). ConclusionsSIHF and IGEMA together provide an empirically testable framework for specifying how space produces intersectional health inequities. Mechanism specification, not spatial location alone, is the condition for designing research and intervention that reaches the source of harm for multiply marginalized populations.

BackgroundDisparities in injury and death indicate that Latinos and Hispanics are disproportionately affected by firearm violence. Understanding the factors that impact Latino and Hispanic engagement with firearm safety is integral to developing nuanced interventions, yet these factors remain largely understudied. This study explores the social ecological factors related to firearm safety engagement among Latino and Hispanic adults residing in New Mexico. MethodsThe study used a convergent mixed-methods design with quantitative and qualitative components. Data were collected from a predominantly Latino-Hispanic community experiencing high rates of firearm violence near Albuquerque, New Mexico. Quantitative data (n=303) were collected using a community-based survey with a non-random sample on firearm safety engagement, collective efficacy, and sociodemographic characteristics. Qualitative data (n=18) included semi-structured interviews from a subset of the survey population who expressed interest in participating. Quantitative data was used to explore descriptive statistics and correlations between reported levels of collective efficacy and firearm safety engagement. Qualitative data were used to explore the firearm safety experiences of Latino and Hispanic participants. AnalysesMultivariate regression analyses examined associations between collective efficacy (exposure) and engagement with firearm safety (outcome). I also explored associations across key domains: collective efficacy, neighborhood characteristics, individual characteristics, and sociodemographic factors. Interviews were analyzed using framework analysis to generate a cohesive thematic structure informed by a social ecological model. The results from the quantitative and qualitative data were then integrated to develop a robust understanding of social ecological factors related to firearm safety engagement using a mixed methods joint display. ResultsThere were 303 survey participants (40.6% male; 55.1% female; 4.3% other gender identity) and 18 interview participants in this study. 57.1% of survey participants reported engaging with at least one firearm safety practice or initiative. Results from multivariate regression indicated that higher collective efficacy ({beta} = 0.082, p = 0.002), higher informal social control ({beta} = 0.174, p = 0.001), stronger endorsement of gun safety principles ({beta} = 0.079, p < 0.001), being married vs. unmarried ({beta} = -0.334, p < 0.001), speaking Spanish in the home vs. English ({beta} = 1.048, p < 0.001), and not owning a gun ({beta} = - 0.638, p = 0.006) were significantly and positively associated with firearm safety engagement. Themes from the qualitative data included barriers (insecure environment; lack of meaningful engagement) and facilitators (location-specific contributors to safety; collective identity and pride) to firearm safety engagement, organized by social ecological domain. Mixed methods findings indicate factors associated with participants individual firearm safety engagement, while providing insights into the perceived barriers and facilitators across social ecological domains. DiscussionFindings from this mixed-methods study suggest that processes of empowerment and collective efficacy may contribute to greater firearm safety engagement within Latino and Hispanic communities. Findings expand injury prevention research by exploring the factors influencing firearm safety engagement among a marginalized and hard-to-reach population who have disproportionate experiences with firearm victimization, perpetration, and injury. ConclusionThis study offers unique methodological approaches by using concurrent mixed methods and collecting complementary data sources to understand firearm safety engagement among Latinos and Hispanics. Findings highlight the need for culturally specific and community-engaged interventions that address social ecological disparities to strengthen safety practices and reduce firearm-related harms.

BackgroundLong COVID has emerged as a major public-health concern in the United States, yet geographic variation in its prevalence remains poorly understood. This study examines how state-level differences in COVID-19 vaccination, SARS-CoV-2 incidence, COVID-19 hospitalization, and chronic disease burden relate to adult Long COVID prevalence in the United States. MethodsWe conducted an ecological analysis using data from the 2023 Behavioral Risk Factor Surveillance System (BRFSS), from which we estimated state-level prevalence of self-reported Long COVID among adults. These estimates were linked with publicly available data on SARS-CoV-2 incidence, COVID-19 hospitalizations, COVID-19 vaccine coverage, and a multimorbidity indicator (>= 3 chronic conditions e.g., diabetes, obesity, chronic kidney disease) associated with higher risk for severe SARS-CoV-2. Multivariable linear regression models were fitted to assess the contribution of each factor adjusted for age and sex distribution, incorporating Rubins rules to account for uncertainty in prevalence estimates. ResultsAll examined factors--including SARS-CoV-2 incidence, hospitalization rates, and multimorbidity, vaccine coverage--varied by state. When modeled simultaneously and adjusting for age and sex distribution, only COVID-19 vaccine coverage and SARS-CoV-2 incidence were significantly associated with Long COVID prevalence. COVID-19 vaccine coverage showed a strong protective association, while SARS-CoV-2 incidence showed a modest positive association. Multimorbidity and hospitalization rates were not independently associated with adjustment. ConclusionsState-level variation in Long COVID burden appears most strongly driven by COVID-19 vaccine coverage and SARS-CoV-2 incidence. Promoting COVID-19 vaccination remains essential to reduce long-term impacts from SARS-CoV-2 infections.

BackgroundChildren with tracheostomies experience frequent and recurrent acute respiratory infections (ARIs). While cultured respiratory pathogens can inform ARI diagnosis, it is unknown if their presence in the airway affects future ARI risk. ObjectiveTo identify predictors of frequent (3+) ARIs within 36 months of tracheostomy. MethodsWe conducted a single-center, retrospective cohort study of children with tracheostomies placed between 2010-2016. Medical records were reviewed for each encounter in which a respiratory culture was obtained over the 3 years post-tracheostomy. ARIs were defined using encounter ICD-9/10 codes. Logistic and Poisson regression were used to model the association between clinical and microbiologic predictor variables with having frequent (3+) ARIs and the total number of ARIs per child. Mediation analysis using stepwise regression models further evaluated the role of P. aeruginosa. ResultsAmong 436 children, 631 diagnosed ARIs occurred within 36 months of tracheostomy; 20.2% of children had 3+ ARIs. Pseudomonas aeruginosa was isolated in 25% of children and was more common among those with 3+ ARIs compared with 0-2 ARIs (56.8% vs 20.7%, p<0.001). Those with early P. aeruginosa isolation were more likely to have 3+ ARIs (aOR 3.38, 95% CI 1.97-5.81), and this relationship persisted when analyzing ARIs and P. aeruginosa counts. Identification of P. aeruginosa partially mediated the relationship of ventilator dependence with ARI frequency. ConclusionIsolation of P. aeruginosa, particularly early and repeated isolation, is associated with frequent ARIs in the 3 years after tracheostomy and is an important partial mediator. Findings may inform risk stratification and targeted treatment strategies.

BackgroundEarly life social determinants of health, such as childhood trauma, have implication on adverse health outcomes later in the life course. Our objective was to develop a childhood trauma measure within the Health and Retirement Study (HRS) - a large, diverse, U.S.-based aging cohort. MethodsData from the HRS Psychosocial and Lifestyle Questionnaire [2006-2016] and Life History Survey [2015-2017]) surveys collected thirteen binary items measuring self-reported exposure to early life adversity across the two study questionnaires. Participants who completed both questionnaires and had exposure items available were included in the analyses. Frequencies and percentages for self-reported trauma items are presented for the study sample and by gender and race/ethnicity. Using complete cases, exploratory factor analyses followed by Mokken scale analyses were performed to evaluate the scalability of the childhood trauma items. Predictive criterion validity of the final domains was evaluated with general health and socioeconomic indicators at participant baseline. ResultsAmong the sample with complete childhood trauma data available (n=9,340), most were women (60.7%), White/Non-Hispanic (73.2%), and had a high school/general education degree (54.0%). The most reported childhood traumas were paternal separation [&ge;]6-months (22.8%), parental death (21.4%), sibling death (18.1%), and problematic parental substance use (17.5%). Two scales were formed based on factor analysis and scalability coefficients. The domain measuring disruption of family structure had strong scalability (HT = 0.55) and included living in an orphanage, foster care, parents divorced/separated, [&ge;]6-month from mother and/or father, and grandparents as primary caretakers. A second domain measuring adverse experiences of parent and/or sibling death had moderate scalability (HT = 0.41). Parental substance abuse and physical abuse clustered together in a third domain with weak scalability (HT = 0.39). ConclusionsThe early adversity items available in the HRS offer meaningful domains for which researchers can evaluate childhood trauma exposure in the context of aging outcomes in older adults. In particular, the family structure domain and parental/sibling death demonstrated moderate-to-strong scalability and may have important implications for health trajectories later in life.