Hispanic Population Research Articles

Effects of COVID-19 on motor neuron disease mortality in the United States: a population-based cross-sectional study

Background In March 2020, the World Health Organization declared the coronavirus disease 2019 (COVID-19) to be a pandemic, stating that those with underlying health conditions are most susceptible, including motor neuron disease (MND). Objective To examine the effect the COVID-19 pandemic had on deaths from MND in the United States. Methods Death certificate data for all MND deaths aged 20 years and older were analyzed from 2017 to 2019 (pre-COVID), then expanded to include 2020 and 2021 (COVID) deaths to evaluate if COVID-19 impacted MND deaths. Results The average number of MND deaths documented during the COVID-19 years was 8009, up from 7485 MND deaths pre-COVID. The age-adjusted mortality rate among the non-Hispanic population increased during COVID to 2.78 per 100,000 persons (95% CI = 2.73–2.82) from 1.81 (95% CI = 1.78–1.84). The Hispanic population also saw an increase in mortality rate during COVID (1.61, 95% CI = 1.51–1.71) compared with pre-COVID (1.10, 95% CI = 1.03–1.17). Decedent’s home as a place of death also saw a mortality rate increase during COVID (1.51, 95% CI = 1.48–1.54) compared with pre-COVID (1.30, 95% CI = 1.27–1.32). For the Hispanic population, the rate peaked at 80–84 years pre-COVID, but for the COVID years, the rate peaked earlier, at 75–79 years. Conclusion The total number of MND deaths was greater during COVID than in the preceding years. The analysis suggests there might have been a consequence of circumstances surrounding the global pandemic and the associated restrictions.

An examination of the effect of external factors on zero-emission vehicle adoption in the United States

This study aims to extend and investigate how external factors (socioeconomic and demographic characteristics, EV-related policy mechanisms, transportation, and climate conditions) influence the actual adoption of battery electric vehicles (BEVs). Using panel data from 49 U.S. states from 2011 to 2020, we estimate a dynamic spatial Durbin model under the space fixed effect to examine the effects of these attributes on BEV adoption in the neighboring states. The results of the analysis suggest that purchase incentives, the number of public charging stations, gasoline prices, and the Hispanic or Latino population, respectively, have positive total effects on state BEV adoption rates in both the short- and long-term. Particularly, the number of public charging stations has positive direct and indirect effects in both the short- and long-term. Gasoline prices have positive spillover effects in both the short- and long-term. The long-term effects of the three characteristics on BEV adoption are greater than their short-term effects. Based on our findings, this study can provide state officials with practical directions and recommendations to help them allocate their resources and implement timely and appropriate regulations, as well as collaborations between states to increase the penetration rates of zero-emission vehicles (ZEVs).

COVID-19 worry and smoking processes among Hispanic persons in the United States

Hispanic persons in the United States (US) experienced a disproportionate proportion of adverse health consequences during the pandemic and are a well-established tobacco disparities population. The tendency to worry is one individual difference cognitive-affective construct that is important to smoking behavior and stress-related experiences during the COVID-19 pandemic. However, there is limited understanding of COVID-19 worry in terms of smoking processes among Hispanic persons who smoke during the pandemic. The present investigation examined if COVID-19 worry during the pandemic (February 2021-July 2021) was associated with several processes linked to the maintenance and relapse of smoking among Hispanic persons who smoke. Participants included 337 Hispanic persons who smoke (≥5 cigarettes per day; Mage = 35.5 years old, 37.3% identified as female). Results indicated that in adjusted models covarying for the effects of sex, age, highest level of education, nativity, average number of cigarettes smoked per day, hazardous drinking, drug use problems, and depression, COVID-19 worry was related to increased risk of cigarette dependence, perceived barriers for quitting smoking, and more severe problems when trying to quit. These data are the first to identify an association between heightened COVID-19 worry and risk processes related to the maintenance and relapse of smoking among the Hispanic population in the US.

Development of Spanish Nutrition Screening Tool for Hispanic Preschoolers.

Nutrition screening tools may facilitate early nutrition interventions specifically with Hispanic populations that are already at higher risk. There is a paucity of culturally competent and validated nutrition screening tools for 3-5-year-old Hispanic children. The purpose of this study was to develop a Spanish nutrition screening tool for 3-5-year-old children to be used by Spanish-speaking parents in community settings to appropriately address malnutrition risk factors with cultural sensitivity. All phases of the study were conducted in Spanish with native Spanish speakers. Face and content validity were established using focus groups, expert reviews, and pilot testing of the tool with Spanish-speaking parents. Parents of children 3-5 years old whose primary language was Spanish (n = 39) completed the nutrition screening, and a nutritionist completed an in-depth nutrition assessment of these children. Criterion validity was measured by comparing the results of the nutrition screening tool with the in-depth nutrition assessment. The nutrition screening tool had a sensitivity of 91.67% and a specificity of 81.48%. The negative predictive value was 69%, and the positive predictive value was 96%. The nutrition screening tool may be used to identify malnutrition in Hispanic children and needs further validation in larger samples.

County-level Racial/Ethnic Residential Segregation and Physical Activity Behavior among US Adults.

The relationship between racial/ethnic residential segregation and physical activity (PA) remains unclear with both positive and negative associations between segregation and PA recently reported. We aimed to examine the relationship between county-level residential segregation and total daily PA and domain-specific PA and whether these associations varied by gender. Participants (N = 2625, mean age [SD] = 45.2 [15.4]) were recruited from the AmeriSpeak panel who completed up to two Activities Completed over Time in 24 Hours (ACT24) previous day recalls in 2019. PA outcomes were created for the following: (1) light PA (LPA), (2) moderate-to-vigorous PA (MVPA), (3) total active time, and (4) domain-specific PA, including leisure, work, household, transport, personal, and other activities. County-level residential segregation based on isolation. Weighted generalized linear models were used to examine the relationship between county-level segregation and each PA outcome, controlling for age, gender, race/ethnicity, income, employment, body mass index, county-level poverty, and census region. Overall, results showed no association between county-level residential segregation and LPA, MVPA, total active time, and domain-specific PA among NH Black and Hispanic populations. Among NH Black females, greater residential segregation was associated with more total hours/day of activity (β = 3.54, 95% CI [0.23, 6.85]). Only NH Black females living in segregated neighborhoods had more total active time. Additionally, it is important to acknowledge that these relationships may vary among NH Black and Hispanic populations. Future studies should examine the interaction between segregation and a broader range of individual, contextual, and environmental factors in relation to PA and domain-specific PA.

Modeling Changes of Fatal Xylazine-Involved Drug Overdoses in Connecticut Across Time

Background Fatal drug overdoses have involved both xylazine and fentanyl. Xylazine is a non-opioid substance used in veterinary medicine. This study aimed to model changes in fatal xylazine-involved drug overdose deaths from 2019 to 2023 in Connecticut using overdose death data from the Office of the Chief Medical Examiner. Methods Xylazine-involved drug overdose fatality rates were calculated by number of deaths per year per 100,000 population from 2019 to 2023. We used joinpoint regression modeling to evaluate quarterly overdose rates across age, number of drugs, and drug types with a significance level of p < 0.05. Results From 2019 to 2023, there were 1116 xylazine-involved fatal overdoses with a cumulative rate of 31.3 deaths per 100,000. Xylazine-involved overdose death rates were significantly higher in Hispanic populations compared to both non-Hispanic White and Black populations (p < 0.05). The joinpoint analyses showed that xylazine-fentanyl mortality rates significantly increased by 0.18 per 100,000 per quarter from 2019 to 2022. Xylazine-fentanyl overdoses involving at least 4 or 5 substances significantly increased. Windham, Hartford, New London, and New Haven counties had the highest xylazine-involved death rates. Conclusion Xylazine-fentanyl deaths increased from 2019 to 2023, and often involved multiple substances (e.g., cocaine, ethanol, benzodiazepines, and oxycodone). Results show Hispanic populations, those aged 35–49, and 50+ experienced high rates of xylazine-fentanyl overdose deaths. Vulnerable populations in Connecticut for special consideration for future intervention and local resource allocation are recommended.

Idiopathic Granulomatous Mastitis: Imaging Findings and Outcomes with Nonsteroidal Treatment in a Predominantly Hispanic Population.

We describe the demographics, clinical presentation, imaging findings, and treatment response among 235 cases of biopsy-proven idiopathic granulomatous mastitis (IGM) at a single institution. An institutional review board-approved retrospective search of the breast imaging database was performed to select patients with biopsy-proven IGM between 2017 and 2022. Retrospective review evaluated clinical presentation, imaging findings with US and mammography, and treatment recommendations (antibiotics, nonsteroidal anti-inflammatory drugs [NSAIDs], warm compresses, or observation only). Response to treatment was evaluated on follow-up US. A favorable treatment response was a decrease in size or resolution of disease on follow-up imaging. Statistical analysis using Poisson regression was performed to evaluate the clinical outcomes associated with each treatment. A total of 235 patients met the selection criteria with a mean age of 38 years (18 to 68). The majority of patients were Hispanic (95%, 223/235). Of all patients, 75.3% (177/235) received treatment (consisting of 1 or any combination of antibiotics, NSAIDs, warm compresses), 24.7% (58/235) were treated with observation, 78.7% (185/235) returned for follow-up imaging, and 21.3% (50/235) were lost to follow-up. Of those with follow-up imaging, disease improvement was seen in 70.3% (102/145) of patients who received treatment compared with 72.5% (29/40) of patients treated by observation alone. Multivariate analysis further showed no difference in clinical outcomes among the treatment of unifocal, multifocal, or recurrent IGM. Nonsteroidal treatment of IGM showed no significant improvement on follow-up imaging compared to treatment with observation alone in a predominantly Hispanic patient population.

Association of complicated appendicitis with geographic and socioeconomic measures in children

BackgroundComplicated appendicitis, considered a marker of delay in accessing surgical care among children, has been inconsistently associated with race, socioeconomic status, insurance type, rurality, and distance to care. This statewide assessment measured factors associated with complicated appendicitis while overcoming limitations of prior work, namely, selection bias and use of inexact socioeconomic status measures. MethodsChildren (<18 years) undergoing appendectomy for appendicitis in Wisconsin from 2018 to 2021 were identified in the Wisconsin Hospital Association database. Patient residence and hospital locations were used to determine rurality, travel distances, and socioeconomic status as measured by Area Deprivation Index, Child Opportunity Index, Community Need Index, and county-level poverty rates. Multivariable logistic regression was used to assess factors associated with complicated appendicitis. ResultsAmong 5,881 children undergoing appendectomy, 1,375 (23.4%) had complicated appendicitis. Adjusting for other variables, complicated appendicitis was associated with younger age (adjusted odds ratio 0.90 per year increase); Hispanic White race/ethnicity (adjusted odds ratio 1.40–1.63); distance to the hospital where surgery was performed (adjusted odds ratio 1.16–1.17 per 10-mile increase); and very low Child Opportunity Index (adjusted odds ratio 1.29), Community Need Index (adjusted odds ratio 1.20 per 1-score increase), and county-level poverty (adjusted odds ratio 1.02 per 1% increase). Insurance type, rurality, and Area Deprivation Index were not associated with complicated appendicitis. Residential county-level complicated appendicitis rates (0.0%–50.0%) had moderate correlation to pediatric county-level poverty rates (rs=0.43). ConclusionComplicated appendicitis was associated with Child Opportunity Index, Community Need Index, and county-level poverty but not insurance type, rurality, or Area Deprivation Index. There was geographic variability in complicated appendicitis rates, with modest correlation to county-level poverty. Targeted interventions among Hispanic populations and those with travel- and socioeconomic status–related barriers to care may be beneficial in preventing complicated appendicitis among children.

Spatiotemporal Facility-Level Patterns of Summer Heat Exposure, Vulnerability, and Risk in United States Prison Landscapes.

Heat is associated with increased risk of morbidity and mortality. People who are incarcerated are especially vulnerable to heat exposure due to demographic characteristics and their conditions of confinement. Evaluating heat exposure in prisons, and the characteristics of exposed populations and prisons, can elucidate prison-level risk to heat exposure. We leveraged a high-resolution air temperature data set to evaluate short and long-term patterns of heat metrics for 1,614 prisons in the United States from 1990 to 2023. We found that the most heat-exposed facilities and states were mostly in the Southwestern United States, while the prisons with the highest temperature anomalies from the historical record were in the Pacific Northwest, the Northeast, Texas, and parts of the Midwest. Prisons in the Pacific Northwest, the Northeast, and upper Midwest had the highest occurrences of days associated with an increased risk of heat-related mortality. We also estimated differences in heat exposure at prisons by facility and individual-level characteristics. We found higher proportions of non-white and Hispanic populations in the prisons with higher heat exposure. Lastly, we found that heat exposure was higher in prisons with any of nine facility-level characteristics that may modify risk to heat. This study brings together distinct measures of exposure, vulnerability, and risk, which would each inform unique strategies for heat-interventions. Community leaders and policymakers should carefully consider which measures they want to apply, and include the voices of directly impacted people, as the differing metrics and perspectives will have implications for who is included in fights for environmental justice.

Cytogenetic and Molecular Characteristics in Adult Hispanic Acute Myeloid Leukemia Patients From Puerto Rico.

The cytogenetic and molecular heterogeneity of acute myeloid leukemia (AML) is characterized as a contributing factor in the disparity of treatment outcomes and clinical outcomes seen among ethnic and racial groups. In this study, we have retrospectively evaluated the karyotypes of 800 adult Hispanic AML patients from Puerto Rico (PR). Acute promyelocytic leukemia with PML-RARA is the most common recurrent cytogenetic abnormality, compatible with previously published results. Among these AML patients, 163 patients had 21 gene panels performed. Twenty-six (15.95%) patients showed no detectable mutations, and 137 patients (84.05%) showed at least one mutation. Compared with previously published data from other examined Hispanic AML populations in the United States, mutational frequencies of these 21 genes, except for ASXL1, WT1, and KRAS,show no significant difference. This is the largest study to date about the landscape of cytogenetic and molecular abnormalities in Hispanic AML patients and a first report regarding the frequencies of these abnormalities in Puerto Rican Hispanic AML patients.

Integrating causal pathway diagrams into practice facilitation to address colorectal cancer screening disparities in primary care

BackgroundColorectal cancer (CRC) is the second leading cause of cancer death and the second most common cancer diagnosis among the Hispanic population in the United States. However, CRC screening prevalence remains lower among Hispanic adults than among non-Hispanic white adults. To reduce CRC screening disparities, efforts to implement CRC screening evidence-based interventions in primary care organizations (PCOs) must consider their potential effect on existing screening disparities. More research is needed to understand how to leverage existing implementation science methodologies to improve health disparities. The Coaching to Improve Colorectal Cancer Screening Equity (CoachIQ) pilot study explores whether integrating two implementation science tools, Causal Pathway Diagrams and practice facilitation, is a feasible and effective way to address CRC screening disparities among Hispanic patients.MethodsWe used a quasi-experimental, mixed methods design to evaluate feasibility and assess initial signals of effectiveness of the CoachIQ approach. Three PCOs received coaching from CoachIQ practice facilitators over a 12-month period. Three non-equivalent comparison group PCOs received coaching during the same period as participants in a state quality improvement program. We conducted descriptive analyses of screening rates and coaching activities.ResultsThe CoachIQ practice facilitators discussed equity, facilitated prioritization of QI activities, and reviewed CRC screening disparities during a higher proportion of coaching encounters than the comparison group practice facilitator. While the mean overall CRC screening rate in the comparison PCOs increased from 34 to 41%, the mean CRC screening rate for Hispanic patients did not increase from 30%. In contrast, the mean overall CRC screening rate at the CoachIQ PCOs increased from 41 to 44%, and the mean CRC screening rate for Hispanic patients increased from 35 to 39%.ConclusionsThe CoachIQ program merges two implementation science methodologies, practice facilitation and causal pathway diagrams, to help PCOs focus quality improvement efforts on improving CRC screening while also reducing screening disparities. Results from this pilot study demonstrate key differences between CoachIQ facilitation and standard facilitation, and point to the potential of the CoachIQ approach to decrease disparities in CRC screening.

The Hispanic paradox in child maltreatment: Does it fade over time?

BackgroundThe “Hispanic Paradox” refers to a commonly noted tendency for Hispanic immigrants to have good health outcomes relative to risks faced. This paper demonstrates the presence of the Hispanic Paradox relative to child maltreatment, with a focus on how it appears to “fade” generationally. ObjectivesTo use national child maltreatment and census data to determine if the protective effects of the Hispanic Paradox are weaker (“fade”) for counties with fewer foreign-born Hispanics. DesignCensus data, including the percentage of Hispanics in a county who were foreign-born, was used to predict child maltreatment rates as observed in the National Child Abuse and Neglect Data System. The analysis was done at a county level and included a number of covariates (e.g. Hispanic Median Income, Rural/Urban status…). Participants and settingWe included national child maltreatment data at the county level. ResultsA negative binomial mixed effects model showed that for each point of increase in the percentage of the Hispanic foreign-born population of a county, the county Hispanic child maltreatment rate was expected to drop by 1 %. Variation in Hispanic national origin (i.e. Puerto Rico) was found to significantly moderate this relationship. ConclusionCounties with higher percentages of foreign-born Hispanics have lower child maltreatment rates after controlling for other factors. This is consistent with emerging findings in the child mortality data and suggests that for child maltreatment, the Hispanic Paradox may fade generationally.

Obtaining the Most Accurate, Explainable Model for Predicting Chronic Obstructive Pulmonary Disease: Triangulation of Multiple Linear Regression and Machine Learning Methods.

Lung disease is a severe problem in the United States. Despite the decreasing rates of cigarette smoking, chronic obstructive pulmonary disease (COPD) continues to be a health burden in the United States. In this paper, we focus on COPD in the United States from 2016 to 2019. We gathered a diverse set of non-personally identifiable information from public data sources to better understand and predict COPD rates at the core-based statistical area (CBSA) level in the United States. Our objective was to compare linear models with machine learning models to obtain the most accurate and interpretable model of COPD. We integrated non-personally identifiable information from multiple Centers for Disease Control and Prevention sources and used them to analyze COPD with different types of methods. We included cigarette smoking, a well-known contributing factor, and race/ethnicity because health disparities among different races and ethnicities in the United States are also well known. The models also included the air quality index, education, employment, and economic variables. We fitted models with both multiple linear regression and machine learning methods. The most accurate multiple linear regression model has variance explained of 81.1%, mean absolute error of 0.591, and symmetric mean absolute percentage error of 9.666. The most accurate machine learning model has variance explained of 85.7%, mean absolute error of 0.456, and symmetric mean absolute percentage error of 6.956. Overall, cigarette smoking and household income are the strongest predictor variables. Moderately strong predictors include education level and unemployment level, as well as American Indian or Alaska Native, Black, and Hispanic population percentages, all measured at the CBSA level. This research highlights the importance of using diverse data sources as well as multiple methods to understand and predict COPD. The most accurate model was a gradient boosted tree, which captured nonlinearities in a model whose accuracy is superior to the best multiple linear regression. Our interpretable models suggest ways that individual predictor variables can be used in tailored interventions aimed at decreasing COPD rates in specific demographic and ethnographic communities. Gaps in understanding the health impacts of poor air quality, particularly in relation to climate change, suggest a need for further research to design interventions and improve public health.

Effects of Air Pollution on Respiratory Events and Pain Crises among Children with Sickle Cell Disease in New York City.

The disease burden of sickle cell disease (SCD) is highest among U.S. Black and Hispanic populations, who are often disproportionately represented in communities with poor air quality. There is limited data on the effects of air pollution exposure and social environmental factors on health outcomes in children with SCD. The objective of our study was to examine the associations between air pollution exposure and acute respiratory and vaso-occlusive pain crises (VOCs), and further study the associations stratifying by asthma status and neighborhood disadvantages. We conducted a retrospective study collecting data on outpatient sick and ED visits, and hospital admissions for respiratory events (i.e., respiratory tract infections, asthma exacerbation, acute chest syndrome), and hospitalizations for VOCs among children with SCD in a tertiary care center in New York City (NYC) from 2015-2018. Modeled data from the NYC Community Air Survey data using home addresses estimated street-level, annual-average exposure to air pollution (i.e., black carbon (BC), fine particulate matter (PM2.5), and nitrogen dioxide (NO2)). The area deprivation index (ADI): continuous national ranking percentile (1-100) was used, representing a composite index for neighborhood-level social disadvantage. We further dichotomized study participants at the upper tertile (high vs. low ADI). Multivariable Poisson regression in generalized estimating equation (GEE) models were used to estimate relative risks (RR), after adjusting for potential covariates. A total of 114 children with SCD were included in this study and had between 1-4 annual repeated measures of annual average air pollutants over a total of 425 visits. Overall, there were no significant associations between air pollution levels and acute respiratory and VOCs among children with SCD and when stratified by asthma status. We found significant interactions between air pollution levels and the continuous ADI variable on respiratory outpatient and frequent respiratory outpatient/ED visits (p<0.1). When stratified by high ADI, increased exposure to PM2.5 was significantly associated with more frequent respiratory outpatient/ED visits among children residing in higher ADI neighborhoods (RR (95% CI)= 1.13 (1.01, 1.27), p<0.05), but not among those in lower ADI neighborhoods. Increased exposure to NO2 was associated with more outpatient respiratory events for children in high ADI neighborhoods (RR (95%CI= 2.74 (1.24, 6.08), p<0.05), compared with low ADI neighborhoods. Air pollution exposures increased respiratory complications among children with SCD living in deprived neighborhoods.

Characterization of an At-Risk Population for Nonalcoholic Fatty Liver Disease (NAFLD) in a Primary Care Setting Along the U.S.-Mexico Border.

This study aimed to determine the burden of suspected nonalcoholic fatty liver disease (NAFLD) and nonalcoholic steatohepatitis (NASH) in a predominantly Hispanic patient population and explore the utility of the American Gastroenterological Association's NAFLD Clinical Care Pathway (CCP). Electronic medical records (n = 223) were used to divide patients into risk groups based on the amount of metabolic risk factors they presented, diabetic status, or if they presented other liver diseases. Fribosis-4 (FIB-4) scores were used to determine the risk for advanced fibrosis. Most patients (83.8%) were considered at risk for NAFLD based on CCP criteria, and about a third of patients (33.2%) were found to be at indeterminate (n = 60; 26.9%) or high risk (n = 14; 6.3%) for advanced fibrosis. Most indeterminate-risk patients (78.3%) were not referred for liver imaging. This study demonstrates the potential of the CCP as a corrective tool that could help to better identify and screen patients at risk for NAFLD.

Lung cancer mortality trends and disparities: A cross-sectional analysis 1999–2020

BackgroundLung cancer remains a leading cause of morbidity and mortality in the United States. Given the importance of epidemiological insight on lung cancer outcomes as the foundation for targeted interventions, we aimed to examine lung cancer death trends in the United States in the recent 22-year period, exploring demographic disparities and yearly mortality shifts. MethodsMortality information was obtained from the CDC Wide-ranging Online Data for Epidemiologic Research database from the years 1999–2020. Demographic information included age, sex, race or ethnicity, and area of residence. We performed log-linear regression models to assess temporal mortality shifts and calculated average annual percentage change (AAPC) and compared age-adjusted mortality rates (AAMR) across demographic subpopulations. ResultsA total of 3,380,830 lung cancer deaths were identified. The AAMR decreased from 55.4 in 1999-31.8 in 2020 (p<0.001). Males (AAMR 57.6) and non-Hispanic (NH) (AAMR 47.5) populations were disproportionately impacted compared to females (AAMR 36.0) and Hispanic (AAMR 19.1) populations, respectively. NH Black populations had the highest AAMR (48.5) despite an overall reduction in lung cancer deaths (AAPC −3.3 %) over the study period. Although non-metropolitan regions were affected by higher mortality rates, the annual decrease in mortality among metropolitan regions (AAPC −2.8 %, p<0.001) was greater compared to non-metropolitan regions (AAPC −1.7 %, p<0.001). Individuals living in the Western US (AAPC −3.4 %, p<0.001) experienced the greatest decline in lung cancer mortality compared to other US census regions. ConclusionsOur findings revealed lung cancer mortality inequalities in the US. By contextualizing these mortality shifts, we provide a larger framework of data-driven initiatives for societal and health policy changes for improving access to care, minimizing healthcare inequalities, and improving outcomes.

Cognitive Intraindividual variability in injection drug use among Hispanic residents of Puerto Rico

Despite a high prevalence of injection drug use (IDU) in Puerto Rico, little is known about how it affects neuropsychological functioning in this population. Investigations of intra-individual variability (IIV) have alluded to its utility as a potential indicator of neural decline. The purpose of this study was to characterize IIV among Hispanic residents of Puerto Rico who engage in IDU. Injectors and non-injectors completed the Neuropsí Atención y Memoria battery. Measures of IIV were calculated for the overall test battery (OTB), the three battery indices, and three domains of attention, memory, and executive functioning. The injector group showed significantly greater IIV than the non-injector group on all measures (OTB, indices, and individual domains). Additionally, injectors showed significantly higher IIV in the domain of executive functioning compared to other cognitive domains and battery indices. In contrast, non-injectors did not show any significant within-group differences on any IIV measures. The higher performance variability observed in the IDU group suggests a negative influence of IDU on cognition, with executive functioning being more susceptible to these effects. These findings support the need for continued investigations into the clinical application of IIV for diagnostic and prognostic purposes in the Hispanic IDU population.

Intra-Ethnic and Geographic Disparities in Stage at Diagnosis for Non-Small Cell Lung Cancer.

Despite the importance of early detection for lung cancer outcomes, staging disparities among the growing US Hispanic population remain underexplored. This population-based study aimed to identify racial-ethnic disparities among non-Hispanic White, non-Hispanic Black, and Hispanic (including specific subgroups) patients in stage at diagnosis for potentially curable non-small cell lung cancer (NSCLC). Incident NSCLC cases (2005-2018) were extracted from the Florida cancer registry. Stage was categorized as early (localized/regional) or advanced (distant). Multivariable logistic regression assessed the association between race/ethnicity and stage at diagnosis, adjusting for socioeconomic status, smoking, and clinical factors. Among 157,034 NSCLC patients, 47.8% were diagnosed at an advanced-stage. Multivariable models showed higher odds of advanced-stage diagnosis for non-Hispanic Blacks (ORadj=1.22; 95%CI: 1.17-1.26) and Hispanics (ORadj=1.03; 95%CI: 1.00-1.08) compared to non-Hispanic Whites. Regional differences were stark for Hispanics compared to non-Hispanic Whites: ORadj 0.96 (95%CI: 0.91-1.01) in South Florida vs 1.12 (95%CI: 1.05-1.19) in the rest of Florida. In South Florida, Central Americans (ORadj=1.49; 95%CI: 1.20-1.85) were the only Hispanic group showing a staging disadvantage compared to non-Hispanic Whites. Pronounced disparities in NSCLC staging among non-Hispanic Black and Hispanic populations, with notable regional variations within Florida's Hispanic communities, indicate that targeted interventions could significantly enhance early detection. The relative advantage observed in nearly all minority groups in multicultural South Florida compared to the rest of Florida underscores the need for future research exploring how specific Hispanic and multiracial sociocultural contexts can positively influence the landscape of cancer early detection across the US.

Effectiveness of regional risk mitigation policies in equitably improving connectivity to essential service during hurricane-induced floods

This study aimed to evaluate the effectiveness of regional disaster mitigation policies in providing equitable access to essential services during hurricane-induced floods in Southeast Louisiana. Studies have been conducted on access to essential service facilities during and after disasters. However, there is limited research on whether current regional disaster mitigation plans ensure equitable access to emergency facilities. To this end, a methodology was developed to assess the effect of the 2017 Louisiana Coastal Master Plan developed by the Coastal Protection and Restoration Agency (CPRA) on equity in connectivity to essential service facilities (hospitals and fire stations) in a case study region in southeastern Louisiana. First, a graph-based model was used to represent the road network and determine the connectivity of five demographic groups during hurricane-induced flood scenarios. Herein, a hurricane-induced flood scenario with a low return period (50 years) was chosen for future years up to 2065, considering sea level rise and subsidence. Roads with flood depths exceeding 30 cm were considered impassable and were removed from the network. Connectivity was then determined using breadth-first search. Monte Carlo simulations were performed to propagate uncertainties in flood depths. It was found that minority groups were at a higher risk of losing access to emergency services during the selected hazard scenario. Native American and Asian populations were found to be at the highest risk of disconnection, followed by the Hispanic and African-American populations. Overall, the coastal master plan did not affect the equity (or lack thereof) in connectivity to essential service facilities.

Majority Rules? Assessing Access to Kidney Transplantation in a Predominantly Hispanic Population.

Despite being the national's largest ethnic minority, Hispanic Americans have inferior kidney transplant opportunities. San Antonio, Texas is the largest US city with a majority Hispanic population. We assessed the impact of this unique ethnic milieu on waitlisting and transplant practices among Hispanic patients. We studied patients >18 years old listed at our center for a kidney-only transplant between 2003-2022. Timing of waitlisting, transplant rates and waitlist outcomes were compared between Hispanic and non-Hispanic White patients. We evaluated 11,895 patients, of whom 67% (n = 8,008) were Hispanic, and 20% (n = 2,341) were White. Preemptive listing was less frequent in Hispanic patients (18% vs 37%). One-third of listed Hispanic patients (37%) and half of White patients (50%) were transplanted, with living-donor kidney transplant performed in 59% (n = 1,755) and 77% (n = 898), respectively. Adjusting for age, sex, blood type, preemptive listing, immunologic sensitization, education, employment, and listing era, Hispanic patients remained less likely to receive a deceased-donor transplant (HR 0.82, 95% CI 0.71 - 0.95). On covariate adjustment, White patients were more likely to experience waitlist death or deterioration (HR 1.23, 95% CI 1.12 - 1.36). Although waitlist attrition was more favorable among Hispanic patients, waitlist registration was delayed and kidney transplants less frequent compared to White patients. These data demonstrate that majority status alone does not mitigate ethnic disparities in kidney transplantation, while underlining the critical need for ongoing efforts to address physician and patient attitudes relating to suitability of Hispanic patients for transplantation.