non-Hispanic Black Populations Research Articles

Abstract 4138301: Burden of Hyperlipidemia, Cardiovascular Mortality, and COVID-19: A Retrospective-Cohort Analysis of US Data

Background: Hyperlipidemia (HLD) is a major risk factor for cardiovascular disease (CVD). Little is known regarding temporal variation in CVD mortality related to HLD. The COVID-19 pandemic added complexity to factors influencing CVD mortality. Question: What are the yearly trends and impact of the COVID-19 pandemic on HLD-related CVD mortality in the United States? Methods: Mortality and demographic data for adults were obtained from CDC repository from 1999-2020, using ICD-10 codes HLD (E78.0-E78.5) and CVD (I00-I99). Age adjusted mortality rates (AAMR) per 1,000,000 population was standardized to the 2000 US population. Log-linear regression models evaluated mortality shifts. Average annual percentage change (AAPC) from 1999-2019 was used to calculate projected AAMR in 2020, subsequently compared to actual 2020 death rates to estimate pandemic-attributed excess deaths. Results: A total of 483,155 HLD-related CVD deaths were recorded between 1999-2020. Despite the CVD mortality decline in general population, HLD-related CVD AAMR rose from 36.33 [95% CI, 35.52-37.13] in 1999 to 99.77 [98.67-100.87] in 2019. Ischemic heart diseases (AAMR 49.39) were the most common causes of death while hypertension had the highest annual mortality increase (AAPC +10.23%) in populations with HLD. Higher HLD-related CVD mortality was observed in males (AAMR 104.87) than females (AAMR 61.93), in those ≥75 years (AAMR 646.45) than 35-75 years (AAMR 54.11), in non-Hispanic (NH) (AAMR 82.49) than Hispanic (AAMR 58.98) populations, and in rural (AAMR 89.98) than urban (AAMR 78.94) regions. NH Black populations (AAMR 84.35) and Western US regions (AAMR 96.88) had the highest HLD-related CVD. The first year of COVID-19 pandemic resulted in 10.55% excess HLD-related CVD death, with the most prominent increase in the 35-75 years age group (14.23%), Hispanic (17.96%), Black (14.82%), and urban (11.68%) populations. Conclusions: Our study revealed an increase in HLD-related CVD mortality which was exacerbated by the COVID-19 pandemic. Higher CVD mortality disproportionately affected males, Black, elderly (≥75 years), and rural populations with HLD. Further research is needed to validate our findings and identify contributing factors.

Abstract 4136145: All-cause and Cause-specific Mortality Disparities in the District of Columbia: Temporal Trends from 2000 to 2020

Background: A report evaluating all-cause mortality in 30 major U.S. cities documented that inequality between Black and White populations in Washington, D.C. was the greatest. However, little is known about disparities in cause-specific mortality over time or by racial groups. Aims: Evaluate trends in all-cause and cause-specific mortality in D.C. from 2000 to 2020 by race, and concurrently examine trends in cardiovascular (CV) risk factors. Methods: Using the CDC WONDER database, we calculated age-adjusted mortality rates per 100,000 persons (2000-2020) for Non-Hispanic Black and Non-Hispanic White populations in D.C. and corresponding rate ratios. Average Annual Percentage Change (AAPC) was examined with joinpoint regression. We examined the prevalence of risk factors (obesity, hypertension, diabetes, smoking, and hypercholesterolemia) using the Behavioral Risk Factor Surveillance System (2000-2020). Results: Among 102,710 deaths that occurred in D.C. (80% Black), cardiovascular diseases (CVD, 32%) and cancer (22%) accounted for over half of the deaths. All-cause mortality declined between 2000-2012 (AAPC: -2.9%, 95% CI: -5.6, 1.0) but stagnated between 2012-2018 (AAPC:-1.1%, 95% CI: -4.6, 0.9) and increased after 2018 (AAPC: 7.7%, 95% CI: 0.6, 11.9). CVD mortality declined between 2000-2011 and plateaued thereafter among Black individuals, contrasting with a monotonous decline (AAPC: -4.7%, 95% CI: -5.3, -4.0) among White individuals, resulting in a magnification of the disparities. Cancer mortality decreased over time for both White and Black individuals (AAPC: -3.4%, 95% CI: -3.9, -2.9 vs. AAPC: -1.8%, 95% CI: -2.1, -1.4, respectively), with a greater magnitude in White individuals. Risk factors were more prevalent among Black individuals over the period. Conclusion: In D.C., the mortality rate is higher in Black vs. White populations, and disparities are increasing over time. While CVD and cancer mortality rates declined overall, profound disparities remain. CVD risk factors are more common in Black populations, with persisting disparities. There is an urgent need for CVD prevention and management, tailored to Black populations in D.C.

Abstract 4137949: Trends in Hypertensive Related Heart Disease Mortality Among Older Adults in the United States, 1999 - 2020

Background: Hypertensive heart disease (HHD) is a major global health concern that impairs quality of life and causes significant morbidity and mortality, especially among older adults. We aimed to examine the temporal trends in HHD-related mortality in the United States (U.S.) between 1999 to 2020. Methods: The CDC WONDER multiple-cause of death database was utilized to identify HHD-related mortality among adults aged ≥ 55 years from 1999 to 2020. Age-adjusted mortality rates (AAMRs) per 100,000 persons and annual percent change (APC) were calculated and stratified by year, gender, race, and geographic region. Results: A total of 1,186,183 HHD-related deaths were recorded among individuals ≥ 55 years old. Overall, AAMR increased from 36.7 in 1999 to 133.9 in 2020. AAMRs showed a steady increase between 1999 and 2017 (APC: 3.72 [95% CI: 2.72 to 4.49]), followed by a surge from 2017 to 2020 (APC: 14.28 [95% CI: 8.21 to 22.93]). Gender-based analysis showed a constantly higher AAMR among older men compared to older women. Variations in AAMR based on race revealed that Non-Hispanic (NH) Black or African American population had the highest AAMRs. Geographic disparities among states showed that the District of Columbia had the highest AAMR while Nebraska had the lowest. The southern U.S. also had a consistently higher AAMR followed by the West, Northeast, and Midwest. Moreover, metropolitan areas had a higher AAMR than nonmetropolitan areas. Conclusion: Our findings reveal an increase in HHD-related deaths and demonstrate that NH Blacks consistently bear a higher burden of disease mortality. These insights underscore the importance of integrating demographic and geographic variables into public health planning and interventions.

Large-scale analysis reveals racial disparities in the prevalence of ADHD and conduct disorders

The primary purpose of this study is to highlight trends in the prevalence of attention deficit/hyperactivity disorders (ADHD) and conduct disorders (CD) between non-Hispanic White and non-Hispanic Black populations and identify potential diagnostic disparities between these groups. De-identified electronic health record data on the TriNetX platform of patients diagnosed with ADHD, CD, or both between January 2013 and May 2023 from 50 healthcare organizations in the US were used to investigate racial and sex disparities in the prevalence of ADHD and CD diagnoses. With a cohort of 849,281 ADHD patients and 157,597 CD patients, non-Hispanic White individuals were ~ 26% more likely to receive ADHD diagnosis and ~ 61% less likely to be diagnosed with CD than non-Hispanic Black individuals. The mean age of diagnosis of ADHD was over 8 years older for White patients than for Black patients, with a disproportionately higher number of White patients diagnosed in adulthood, compared to a comparatively negligible number of Black patients diagnosed with ADHD in the same age group. Additionally, Black females were the cohort least likely to be diagnosed with ADHD, while White females were the cohort least likely to be diagnosed with CD. Race disparities exist between Black and White populations, and sex disparities exist within each population. More information is needed to determine contributors to these differences, although implicit biases and systemic racism may be key contributing factors. Presenting evidence and increasing awareness of culturally relevant diagnoses can reduce unconscious bias and move toward more informed and objective psychiatric evaluations.

Spatial and Racial/Ethnic Variation in the Prevalence of Cesarean Delivery in a South Carolina Medical Center.

While racial/ethnic disparities in cesarean delivery have been noted in the literature, less is known about the intersection between individual-level race/ethnicity and community-level social vulnerability as factors in cesarean delivery. The goal was to use medical record data from a large medical center combined with census tract-level data to examine patterns of social vulnerability, racial population distribution, and prevalence of cesarean delivery. Data were obtained from electronic medical records of patients from a large medical center in South Carolina from 2019 to 2020. The outcome variable was cesarean delivery (yes/no), and covariates included the year of delivery; age of patient; race/ethnicity; spoken language; BMI categories; clinical indications of anemia, hypertension, preeclampsia, and diabetes; and census tract Social Vulnerability Index (SVI). Generalized linear mixed models for multilevel binary logistic regression were used to test the main hypothesis that the census tract level Social Vulnerability Index is positively associated with cesarean delivery. Among a total of 5011 patients, we found that non-Hispanic Black mothers were more likely to have cesarean deliveries compared with non-Hispanic White mothers. After controlling for census tract-level SVI, the individual-level race/ethnicity association was no longer significant. Significant spatial autocorrelation across census tracts was evident for cesarean delivery prevalence, non-Hispanic Black population, and SVI. A high prevalence of cesarean delivery tended to cluster with high SVI and a high non-Hispanic Black population. We found that non-Hispanic Black mothers were more likely to have cesarean deliveries, which was explained by census tract differences in the SVI.

EP.16G.01 Ready, Set, Screen: Evaluating Community Readiness for Lung Cancer Screening Among Non-Hispanic Black Populations in Florida

EP.16G.01 Ready, Set, Screen: Evaluating Community Readiness for Lung Cancer Screening Among Non-Hispanic Black Populations in Florida

C-reactive Protein Is Associated with Ethnicity and Metabolic Syndrome in a Non-Hispanic Black Population

C-reactive Protein Is Associated with Ethnicity and Metabolic Syndrome in a Non-Hispanic Black Population

Longitudinal Impacts of Medicaid Expansion and Social Determinants of Health on PrEP Prevalence and PrEP-to-Need Ratio (PNR).

Despite its efficacy, pre-exposure prophylaxis (PrEP) for HIV has a low uptake, with many disparities remaining. This study aimed to assess the impact of Medicaid expansion and social determinants of health (SDOH) on PrEP prevalence and PrEP-to-need ratio (PnR) using county-level data from 2012 to 2022. Differences-in-differences regressions indicated that Medicaid expansion is associated with increased PnR but not PrEP prevalence. Linear regressions were conducted to evaluate the impact of county-level SDOH on PrEP outcomes. Rurality was associated with lower PnR and PrEP prevalence. Racial disparities were present, with areas with greater concentrations of non-Hispanic Black populations having lower PrEP prevalence and PnR. Greater concentrations of Hispanic populations were associated with lower PnR. Income inequality, socioeconomic status vulnerability, and primary care physician concentration were all associated with higher PnR. Medicaid expansion supports increasing PrEP use in the areas of greatest need. Efforts should be made to improve PrEP access, particularly in areas with high SDOH vulnerabilities.

Cause-Specific Mortality Rates Among the US Black Population

This cross-sectional study examines the specific causes of death associated with the disparities in all-cause mortality between non-Hispanic Black and non-Hispanic White populations, as well as their changes over time.

Abstract B166: Impact of rurality on early-onset colorectal cancer outcomes: Age, geographic disparities, and the need for improved access and awareness in the United States

Abstract BACKGROUND: While overall colorectal cancer (CRC) rates have stabilized or declined in the United States (U.S.), early-onset CRC (EO-CRC), diagnoses before age 50, has increased. Rural U.S. residents face a higher CRC incidence (43.9 vs. 40.1 per 100,000) than urban residents. CRC mortality, once highest in the Northeast, is now most prevalent in the South and Midwest, particularly among Non-Hispanic Black populations. This geographic shift is also evident in EO-CRC. Existing literature lacks comprehensive analysis on the influence of rurality and age at CRC diagnosis. In this study, we sought to elucidate the relationships between age at diagnosis with CRC outcomes, while examining the moderating role of rurality. Methods: We used data from the 2006-2020 Surveillance, Epidemiology, and End Results (SEER) Program. Rurality was defined using census tract level U.S. Department of Agriculture (USDA)’s 2010 Rural Urban Commuting Area (RUCA) codes: rural (codes 8, 9, 10) and urban (all other listed codes). We conducted multilevel regression modeling (logistic and Cox proportional hazards) to examine the associations between age at diagnosis, rurality, and CRC outcomes (late-stage diagnosis and survival), adjusting for race, marital status, sex, and year of diagnosis. Results: We identified 835,907 patients aged 20-79 from the 2006-2020 SEER program. Most patients lived in urban areas (86%), were non-Hispanic white (66%), and married (41%). After adjusting for marital status, race, sex, and diagnosis year, we found that patients aged 30-39 (aOR: 1.49, 95% CI: 1.44–1.55) and 40-49 (aOR: 1.43, 95% CI: 1.39–1.46) had over a 40% increased likelihood of late-stage CRC compared to patients aged 50-59. Urban patients aged 30-39 had a 52% higher likelihood of late-stage CRC (aOR: 1.52, 95% CI: 1.46–1.58). Patients aged 20-29 (aOR: 0.81, 95% CI: 0.77–0.86) had a reduced risk of CRC death compared to those aged 50-59. Conversely, patients aged 40-49 (aOR: 1.09, 95% CI: 1.07–1.11), 60-69 (aOR: 1.16, 95% CI: 1.14–1.17), and 70-79 (aOR: 1.39, 95% CI: 1.28–1.36) had increased risks of CRC death compared to patients aged 50-59. Rural patients aged 20-29 (aOR: 0.79, 95% CI: 0.68–0.94) and 30-39 (aOR: 0.95, 95% CI: 0.87–1.03) had a reduced risk of CRC death compared to rural patients aged 50-59. Conclusion: We observed that patients aged 30-49 were more likely to be diagnosed with late- stage CRC compared to those aged 50-59, particularly in urban areas. To reduce the burden of EO-CRC and prevent advanced-stage diagnoses in young adults, it is essential to enhance access to care and raise awareness of CRC symptoms among younger Americans. Future research should explore urban -rural barriers to healthcare access, including the role of healthcare infrastructure, transportation, and provider availability, to develop strategies for improving EO-CRC early detection and treatment outcomes. Citation Format: Meng-Han Tsai, Justin X. Moore, Caitlyn Grunert. Impact of rurality on early-onset colorectal cancer outcomes: Age, geographic disparities, and the need for improved access and awareness in the United States [abstract]. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr B166.

Abstract C144: Poor survival in non-Hispanic Black HR+/HER2- and HR-/HER2+ breast cancer patients at an NCI-Designated Comprehensive Cancer Center

Abstract Introduction: In the US, 1 in 8 women face a breast cancer diagnosis within their lifetime. While this disease is pervasive, it does not affect all groups of women equally. Non-Hispanic Black (NHB) populations tend to have worse survival outcomes than Non-Hispanic White (NHW) and Hispanic (H) populations. Studying this disparity presents challenges, as it is influenced by many social and biological factors, including quality of cancer care. By comparing NHB, NHW, and H breast cancer patients at Moffitt Cancer Center (MCC), we can describe various factors related to disparate outcomes, while attenuating the effect of varying cancer care settings. Methods: Clinical data (collected from 1986-2018) and patient questionnaire data (collected from 2012-2020) were acquired from MCC databases. Patients were divided into NHW, NHB, and H groups based on their race and ethnicity. Family cancer history, hormonal contraception use, and HR/HER2 subtype were selected for analysis due to their relevance to breast cancer risk or prognosis. Descriptive statistics, chi-square tests, ANOVA, and Tukey tests were performed as appropriate. Results: On preliminary analysis, NHW patients most frequently report a history of cancer diagnosis in one or more first-degree relatives. This is found when considering all cancer types (p<0.001) as well as specifically considering breast, ovarian, and uterine cancer (p=0.029). Patients also disclosed their hormonal contraception use, with 38% of NHW patients reporting an age at which they began using hormonal contraception compared to only 22% of both NHB and H patients (p<0.001). Among those who have used hormonal contraception, there was no significant difference in age of use onset, or total years of use. Significant differences in HR+/HER2-(p<0.001) and HR-/HER2- (p<0.001) frequency were seen between groups. NHB women had the lowest frequency of HR+/HER2- cancers (57%), and the highest frequency of HR-/HER2- cancers (27%). HR-/HER2+ NHB patients displayed significantly worse overall survival relative to NHW (p<0.001) and H (p=0.014) patients of the same subtype. HR+/HER2-NHB patients also have significantly worse overall survival relative to NHW (p=0.010) and H (p=0.010) patients of the same subtype. No significant difference in between-group overall survival is found for the HR-/HER2- and HR+/HER2+ patients. Conclusion: The cohorts in this study provide an opportunity to analyze characteristics and outcomes in breast cancer patients at an NCI-Designated Comprehensive Cancer Center. Higher rates of family cancer history in NHW women and higher rates of HR-/HER2- disease in NHB women align with the literature. NHW patients more frequently reported hormonal contraception use, while showing similarities to NHB and H groups in age and length of use. Despite comparable survival in two HR/HER2 subtypes, HR-/HER2+ and HR+/HER2- NHB women have significantly worse survival than NHW and H women. Further analyses of risk/prognostic factors and treatment regimens are needed to better understand this concerning survival finding. Citation Format: Abigail E. Lantz, Jiannong Li, Ryan F. Gebert, Dung-Tsa Chen, Edna R. Gordián, W. Douglas Cress. Poor survival in non-Hispanic Black HR+/HER2- and HR-/HER2+ breast cancer patients at an NCI-Designated Comprehensive Cancer Center [abstract]. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr C144.

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.

Association between self-reported sleep apnea and biomarkers of liver injury: Evidence from National Health and Nutrition Examination Survey.

The community population based studies on the relationship between obstructive sleep apnea and liver injury are limited. The study aimed to clarify the association between sleep apnea (SA) and liver injury by using the data in The National Health and Nutrition Examination Survey. SA was assessed by the sleep questionnaire and liver injury was evaluated by liver function test, hepatic steatosis index, and fibrosis-4. Weighted multivariable linear regression was performed to examine the association between SA and liver injury. Subgroup analyses and sensitivity analysis were also conducted. A total of 19,362 eligible participants were included in the study. After adjusting for confounders, the presence of SA was significantly associated with increased levels of lnALT, lnAST/alanine aminotransferase, lnGGT, and lnHSI (all P values < .05), but not with lnFIB-4 (P > .05). There is a dose-response relationship between the severity of SA and increased levels of lnALT, lnGGT, and decreased levels of lnAST/alanine aminotransferase (test for trend, all P values < .05). Subgroup analyses revealed that the positive association between SA and liver function, liver steatosis showed a tendency to exist in nonobese, younger, non-Hispanic Black, and male populations. Sensitive analysis showed the relationship between SA and liver injury was stable. Self-reported SA was independently associated with elevated liver enzymes and liver steatosis among US population. The association was more pronounced among nonobese, younger, non-Hispanic Black, and male populations.

Effects of an Intervention on Black Family Incomes on Self-Rated Health and Obesity in Black and White Adolescents and Young Adults.

Structural racism contributes to health disparities between U.S. non-Hispanic Black and non-Hispanic white populations by differentially distributing resources used to maintain health. Policies that equitably redistribute resources may mitigate racialized health disparities. Using National Longitudinal Study of Adolescent to Adult Health data and time-to-event parametric g-formula methods, we investigate a hypothetical intervention to reduce Black-white family income inequities on racialized differences in self-rated health (N=11,312) and obesity (N=10,547). We first intervene to increase individual Black family incomes by $11,000, creating Black-white equity in median incomes in 1995. Then, we measure social multiplier effects by additionally increasing county-level Black median household incomes by $11,000. By Wave 4, individual, direct effects models comparing Black intervention to Black control groups show no risk differences in self-rated health (RD=-0.009; 95% CI: -0.026, 0.008) or obesity (RD=0.003; 95% CI: -0.017, 0.023). Social multiplier effects models suggestively reduce Black-white inequalities in obesity by increasing obesity in white intervention versus white control groups (RD=0.050=; 95% CI: -0.011, 0.110), but exacerbate Black-white disparities in self-rated health by reducing self-rated health in Black intervention versus white control groups (RD=0.184; 95% CI: 0.018, 0.351). In this cohort, income transfers may not reduce racialized disparities in obesity and self-rated health.

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.

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.

Dynamic changes in place-based measures of structural racism and preterm birth in the USA

BackgroundStructurally racist systems, ideologies and processes generate and reinforce inequities among minoritised racial/ethnic groups. Prior cross-sectional literature finds that place-based structural racism, such as the Index of Concentration at the...

Asymptomatic Incidence of Monoclonal Gammopathy of Undetermined Significance and Preclinical Duration to Myeloma Diagnosis: A Modeling Study.

Background Monoclonal gammopathy of undetermined significance (MGUS) is the premalignant condition of multiple myeloma (MM). Given a lack of population-based screening for MGUS and its asymptomatic nature, the epidemiology of MGUS remains unknown. This study estimated age- and race/ethnicity-specific MGUS incidence and preclinical duration from MGUS to MM in the United States. Methods A previously published modeling approach was used to calculate national MGUS incidence using estimates of MGUS prevalence, MM incidence, MM-specific and all-cause mortality, and population age distribution from the National Health and Nutrition Examination Survey, 1999-2004, and Surveillance, Epidemiology, and End Results, 2000-2021. The estimated MGUS prevalence was divided by MGUS incidence to obtain preclinical duration of MM. Results MGUS incidence for non-Hispanic white (NHW) populations was 52, 86, 142, and 181 and for non-Hispanic black (NHB) population was 110, 212, 392, and 570 per 100,000 person-years at ages 50, 60, 70, and 80, respectively. The average preclinical duration was 20.5 (95% confidence interval, CI: 16.5, 26.1) years for the NHW population and 14.2 (95% CI: 11.5, 17.6) years for the NHB population. The cumulative risk of developing MGUS in age 50-85 was 2.8% (95% CI: 1.7%, 4.2%) for the NHW population and 6.1% (95% CI: 3.8%, 10.0%) for the NHB population. Conclusion NHB populations had a higher MGUS incidence rate at all ages and a shorter preclinical duration of MM compared to their NHW counterparts. Impact This study provides insights into the epidemiology of MGUS and enhances our understanding of the natural history of MM.

Modifiable and Non-Modifiable Risk Factors for Dementia Among Non-Hispanic White and Black Populations Aged 50-64 in the United States, 2006-2016.

Non-Hispanic Black populations (NHB) have a significantly higher prevalence of dementia than non-Hispanic Whites in the U.S., and the underlying risk factors may play a role in this racial disparity. We aimed to calculate risk scores for dementia among non-Hispanic White (NHW) and non-Hispanic Black populations aged 50-64years over a period of 10years, and to estimate potential differences of scores between NHW and NHB. The Health and Retirement Study from 2006 to 2016 was used to calculate the Cardiovascular Risk Factors, Aging, and Incidence of Dementia (CAIDE) risk score, a validated score for predicting dementia risk. Weighted average CAIDE score, as well as CAIDE score for modifiable factors hypertension, obese, hypercholesterolemia, physical inactivity), and non-modifiable factors (age, sex, education) were calculated for adults aged 50-64years with normal cognition for 2006-2008, 2010-2012, 2014-2016. The associations of race with CAIDE score and elevated CAIDE score were examined. A total of 10,871 participants were included in the analysis. The CAIDE score showed declining trends for NHB from 2006 to 2016, while NHB consistently had a higher total CAIDE score and CAIDE score for modifiable factors from 2006 to 2016, but not for non-modifiable factors. NHB had a higher level of dementia risk factors than NHW among adults aged 50-64years in the U.S. from 2006 to 2016, and the difference is attributable to modifiable risk factors, which holds promise for risk reduction of dementia.

John Henryism-racial stressors among older black men with low back pain

The relationship between adaptive pain-coping skills, such as John Henryism, and pain and function remains unclear in non-Hispanic Black populations. This cross-sectional, observational study included sixty older Black men with low back pain in Jacksonville, Florida. Key measures were: self-reported 0–10 pain intensity in the past 24 h, 13-item pain catastrophizing, functional performance from the Back Performance Scale, and the John Henryism Active Coping Scale. Structural equation modeling was applied to 57 complete cases for analysis using R v4.2.0. There was a significant association for both John Henryism (β = -0.320, p = .038) and pain catastrophizing (β = 0.388, p = .007) with pain intensity but not functional performance (β = -0.095, p = .552; β = 0.274, p = .068, respectively) in the older Black men. The study underscores the future importance of evaluating John Henryism using longitudinal methods to explore causality with complex structural equation models among Black Americans.