Exploring the intersectionality of race/ethnicity with rurality on breast cancer outcomes: SEER analysis, 2000-2016.

PURPOSE: Disparities in breast cancer survival have been observed within marginalized racial/ethnic groups and within the rural-urban continuum for decades. We examined whether there were differences among the intersectionality of race/ethnicity and rural residence on breast cancer outcomes. METHODS: We performed a retrospective analysis among 739,448 breast cancer patients using Surveillance Epidemiology and End Results (SEER) 18 registries years 2000 through 2016. We conducted multilevel logistic-regression and Cox proportional hazards models to estimate adjusted odds ratios (AORs) and hazard ratios (AHRs), respectively, for breast cancer outcomes including surgical treatment, radiation therapy, chemotherapy, late-stage disease, and risk of breast cancer death. Rural was defined as 2013 Rural-Urban Continuum Codes (RUCC) of 4 or greater. RESULTS: Compared with non-Hispanic white-urban (NH-white-U) women, NH-black-U, NH-black-rural (R), Hispanic-U, and Hispanic-R women, respectively, were at increased odds of no receipt of surgical treatment (NH-black-U, AOR = 1.98, 95% CI 1.91-2.05; NH-black-R, AOR = 1.72, 95% CI 1.52-1.94; Hispanic-U, AOR = 1.58, 95% CI 1.52-1.65; and Hispanic-R, AOR = 1.40, 95% CI 1.18-1.67), late-stage diagnosis (NH-black-U, AOR = 1.32, 95% CI 1.29-1.34; NH-black-R, AOR = 1.29, 95% CI 1.22-1.36; Hispanic-U, AOR = 1.25, 95% CI 1.23-1.27; and Hispanic-R, AOR = 1.17, 95% CI 1.08-1.27), and increased risks for breast cancer death (NH-black-U, AHR = 1.46, 95% CI 1.43-1.50; NH-black-R, AHR = 1.42, 95% CI 1.32-1.53; and Hispanic-U, AHR = 1.10, 95% CI 1.07-1.13). CONCLUSION: Regardless of rurality, NH-black and Hispanic women had significantly increased odds of late-stage diagnosis, no receipt of treatment, and risk of breast cancer death.

Ethno-demographic disparities in humoral responses to the COVID-19 vaccine among healthcare workers.

The COVID-19 pandemic had a profound impact on global health, but rapid vaccine administration resulted in a significant decline in morbidity and mortality rates worldwide. In this study, we sought to explore the temporal changes in the humoral immune response against SARS-CoV-2 healthcare workers (HCWs) in Augusta, GA, USA, and investigate any potential associations with ethno-demographic features. Specifically, we aimed to compare the naturally infected individuals with naïve individuals to understand the immune response dynamics after SARS-CoV-2 vaccination. A total of 290 HCWs were included and assessed prospectively in this study. COVID status was determined using a saliva-based COVID assay. Neutralizing antibody (NAb) levels were quantified using a chemiluminescent immunoassay system, and IgG levels were measured using an enzyme-linked immunosorbent assay method. We examined the changes in antibody levels among participants using different statistical tests including logistic regression and multiple correspondence analysis. Our findings revealed a significant decline in NAb and IgG levels at 8-12 months postvaccination. Furthermore, a multivariable analysis indicated that this decline was more pronounced in White HCWs (odds ratio [OR] = 2.1, 95% confidence interval [CI] = 1.07-4.08, p = 0.02) and IgG (OR = 2.07, 95% CI = 1.04-4.11, p = 0.03) among the whole cohort. Booster doses significantly increased IgG and NAb levels, while a decline in antibody levels was observed in participants without booster doses at 12 months postvaccination. Our results highlight the importance of understanding the dynamics of immune response and the potential influence of demographic factors on waning immunity to SARS-CoV-2. In addition, our findings emphasize the value of booster doses to ensure durable immunity.

Investigating the association between educational attainment and allostatic load with risk of cancer mortality among African American women.

BACKGROUND: African American (AA) women navigate the world with multiple intersecting marginalized identities. Accordingly, AA women have higher cumulative stress burden or allostatic load (AL) compared to other women. Studies suggest that AA women with a college degree or higher have lower AL than AA women with less than a high school diploma. We examined the joint effect of educational attainment and AL status with long-term risk of cancer mortality, and whether education moderated the association between AL and cancer mortality. METHODS: We performed a retrospective analysis among 4,677 AA women within the National Health and Nutrition Examination Survey (NHANES) from 1988 to 2010 with follow-up data through December 31, 2019. We fit weighted Cox proportional hazards models to estimate adjusted hazard ratios (aHRs) of cancer death between educational attainment/AL (adjusted for age, income, and smoking status). RESULTS: AA women with less than a high school diploma living with high AL had nearly a 3-fold increased risk (unadjusted HR: 2.98; 95%C CI: 1.24-7.15) of cancer death compared to AA college graduates living with low AL. However, after adjusting for age, this effect attenuated (age-adjusted HR: 1.11; 95% CI: 0.45-2.74). AA women with high AL had 2.3-fold increased risk of cancer death (fully adjusted HR: 2.26; 95% CI: 1.10-4.57) when compared to AA with low AL, specifically among women with high school diploma or equivalent and without history of cancer. CONCLUSIONS: Our findings suggest that high allostatic load is associated with a higher risk of cancer mortality among AA women with lower educational attainment, while no such association was observed among AA women with higher educational attainment. Thus, educational attainment plays a modifying role in the relationship between allostatic load and the risk of cancer death for AA women. Higher education can bring several benefits, including improved access to medical care and enhanced medical literacy, which in turn may help mitigate the adverse impact of AL and the heightened risk of cancer mortality among AA women.

Examining educational attainment and allostatic load in non-Hispanic Black women.

BACKGROUND: Research suggests that non-Hispanic Black (henceforth, Black) women and people with lower educational attainment have higher levels of allostatic load (AL). This study sought to determine the association between educational attainment and AL among a large sample of Black women. METHODS: We analyzed data among 4177 Black women from the National Health and Nutrition Examination Survey years 1999-2018. AL score was defined as the total for abnormal measures of eight biomarkers. We further categorized participants with AL score greater than or equal to 4 as having high AL. We calculated mean estimates of total allostatic load scores using generalized linear models. We performed modified Poisson Regression models with robust variance estimation to estimate prevalence ratios (PRs) of high allostatic load and their associated 95% confidence intervals (CIs) by educational attainment. RESULTS: Black women with a college degree or higher had the lowest prevalence of high allostatic load (31.8% vs. 42.7%, 36.3%, 36.6%), and age adjusted mean allostatic load scores (mean = 1.90 vs. mean = 2.34, mean = 1.99, mean = 2.05) when compared to Black women with less than a high school diploma, high school diploma or GED, and some college or associates degree respectively. Even after accounting for age, poverty-to-income ratio, smoking, congestive heart failure, and heart attack, Black college graduates had an 14.3% lower prevalence of high allostatic load (PR = 0.857, 95% CI 0.839-0.876) when compared to Black women with lower educational attainment. CONCLUSIONS: Black women with a baccalaureate degree or higher educational attainment had lower allostatic load compared to Black women with less than a high school education. This finding further confirms higher education is a social determinant of health. Future research should explore differences in AL by more granular degree types.

Temporal changes in allostatic load patterns by age, race/ethnicity, and gender among the US adult population; 1988-2018.

The objective of this study is to provide an assessment of allostatic load (AL) burden among US adults across race/ethnicity, gender, and age groups over a 30-year time period. We analyzed data from 50,671 participants of the National Health and Nutrition Examination Survey (NHANES) years 1988 through 2018. AL score was defined as the sum total for abnormal measures of the following components: serum albumin, body mass index, serum C - reactive protein, serum creatinine, diastolic blood pressure, glycated hemoglobin, systolic blood pressure, total cholesterol, and serum triglycerides. We performed modified Poisson regression to estimate the adjusted Relative Risks (aRRs) of allostatic load, and generalized linear models to determine adjusted mean differences accounting for NHANES sampling weights. Among US adults aged 18 or older, the prevalence of high AL increased by more than 45% from 1988 to 1991 to 2015-2018, from 33.5% to 48.6%. By the latest period, 2015-2018, Non-Hispanic Black women (aRR: 1.292; 95% CI: 1.290-1.293) and Latina women (aRR: 1.266; 95% CI: 1.265-1.267) had higher risks of AL than non-Hispanic White women. Similar trends were observed among men. Age-adjusted mean AL score among NH-Black and Latinx adults was higher than for NH-Whites of up to a decade older regardless of gender. From 1988 through 2018, Adults aged 40 years old and older had over 2-fold increased risks of high AL when compared to adults 18-29 years old. After 30-years of collective data, racial disparities in allostatic load persist for NH-Black and Latinx adults.

Physical health composite and risk of cancer mortality in the REasons for Geographic and Racial Differences in Stroke Study.

It is unclear how resting myocardial workload, as indexed by baseline measures of rate-pressure product (RPP) and physical activity (PA), is associated with the overall risk of cancer mortality. We performed prospective analyses among 28,810 men and women from the REasons for Geographic and Racial Differences in Stroke (REGARDS) cohort. We used a novel physical health (PH) composite index and categorized participants into one of four groups based on combinations from self-reported PA and RPP: 1) No PA and High RPP; 2) No PA and Low RPP; 3) Yes PA and High RPP; and 4) Yes PA and Low RPP. We examined the association between baseline PH composite and cancer mortality adjusted for potential confounders using Cox regression. A total of 1191 cancer deaths were observed over the 10-year observation period, with the majority being lung (26.87%) and gastrointestinal (21.49%) cancers. Even after controlling for sociodemographics, health behaviors, baseline comorbidity score, and medications, participants with No PA and High RPP had 71% greater risk of cancer mortality when compared to participants with PA and Low RPP (adjusted HR: 1.71, 95% CI: 1.42-2.06). These associations persisted after examining BMI, smoking, income, and gender as effect modifiers and all-cause mortality as a competing risk. Poorer physical health composite, including the novel RPP metric, was associated with a nearly 2-fold long-term risk of cancer mortality. The physical health composite has important public health implications as it provides a measure of risk beyond traditional measure of obesity and physical activity.

Mediating Effects of Frailty Indicators on the Risk of Sepsis After Cancer.

BACKGROUND: Cancer survivors are at increased risk of sepsis, possibly attributed to weakened physiologic conditions. The aims of this study were to examine the mediation effect of indicators of frailty on the association between cancer survivorship and sepsis incidence and whether these differences varied by race. METHODS: We performed a prospective analysis using data from the REasons for Geographic and Racial Differences in Stroke cohort from years 2003 to 2012. We categorized frailty as the presence of ≥2 frailty components (weakness, exhaustion, and low physical activity). We categorized participants as "cancer survivors" or "no cancer history" derived from self-reported responses of being diagnosed with any cancer. We examined the mediation effect of frailty on the association between cancer survivorship and sepsis incidence using Cox regression. We repeated analysis stratified by race. RESULTS: Among 28 062 eligible participants, 2773 (9.88%) were cancer survivors and 25 289 (90.03%) were no cancer history participants. Among a total 1315 sepsis cases, cancer survivors were more likely to develop sepsis (12.66% vs 3.81%, P < .01) when compared to participants with no cancer history (hazard ratios: 2.62, 95% confidence interval: 2.31-2.98, P < .01). The mediation effects of frailty on the log-hazard scale were very small: weakness (0.57%), exhaustion (0.31%), low physical activity (0.20%), frailty (0.75%), and total number of frailty indicators (0.69%). Similar results were observed when stratified by race. CONCLUSION: Cancer survivors had more than a 2-fold increased risk of sepsis, and indicators of frailty contributed to less than 1% of this disparity.

A Prospective Study of Community Mediators on the Risk of Sepsis After Cancer.

BACKGROUND: Few studies have examined whether community factors mediate the relationship between patients surviving cancer and future development of sepsis. We determined the influence of community characteristics upon risk of sepsis after cancer, and whether there are differences by race. METHODS: We performed a prospective analysis using data from the REasons for Geographic and Racial Differences in Stroke cohort years 2003 to 2012 complemented with county-level community characteristics from the American Community Survey and County Health Rankings. We categorized those with a self-reported prior cancer diagnosis as "cancer survivors" and those without a history of cancer as "no cancer history." We defined sepsis as hospitalization for a serious infection with ≥2 systemic inflammatory response syndrome criteria. We examined the mediation effect of community characteristics on the association between cancer survivorship and sepsis incidence using Cox proportional hazards models adjusted for age, sex, race, and total number of comorbidities. We repeated analysis stratified by race. RESULTS: There were 28 840 eligible participants, of which 2860 (9.92%) were cancer survivors, and 25 289 (90.08%) were no cancer history participants. The only observed community-level mediation effects were from income (% mediated 0.07%; natural indirect effect [NIE] on hazard scale] = 1.001, 95% confidence interval [95% CI]: 1.000-1.005) and prevalence of adult smoking (% mediated = 0.21%; NIE = 1.002, 95% CI: 1.000-1.004). We observed similar effects when stratified by race. CONCLUSION: Cancer survivors are at increased risk of sepsis; however, this association is weakly mediated by community poverty and smoking prevalence.

Epidemiology of the 2020 Pandemic of COVID-19 in the State of Texas: The First Month of Community Spread.

The pandemic of novel Coronavirus (SARS-CoV-2) is currently spreading rapidly across the United States. We provide a comprehensive overview of COVID-19 epidemiology across the state of Texas, which includes vast rural & vulnerable communities that may be disproportionately impacted by the spread of this new disease. All 254 Texas counties were included in this study. We examined the geographic variation of COVID-19 from March 1 through April 8, 2020 by extracting data on incidence and case fatality from various national and state datasets. We contrasted incidence and case fatality rates by county-level demographic and healthcare resource factors. Counties which are part of metropolitan regions, such as Harris and Dallas, experienced the highest total number of confirmed cases. However, the highest incidence rates per 100,000 population were in found in counties of Donley (353.5), Castro (136.4), Matagorda (114.4) and Galveston (93.4). Among counties with greater than 10 cases, the highest CFR were observed in counties of Comal (10.3%), Hockley (10%), Hood (10%), and Castro (9.1%). Counties with the highest CFR (> 10%) had a higher proportion of non-Hispanic Black residents, adults aged 65 and older, and adults smoking, but lower number of ICU beds per 100,000 population, and number of primary care physicians per 1000 population. Although the urban areas of Texas account for the majority of COVID-19 cases, the higher case-fatality rates and low health care capacity in rural areas need attention.

Do breast quadrants explain racial disparities in breast cancer outcomes?

PURPOSE: Tumors of the inner quadrants of the breast are associated with poorer survival than those of the upper-outer quadrant. It is unknown whether racial differences in breast cancer outcomes are modified by breast quadrant, in addition to comparisons among Asian subgroups. METHODS: Using the Surveillance, Epidemiology, and End Results database, we analyzed data among women diagnosed with non-metastatic invasive breast cancer between 1990 and 2014. We performed Cox proportional hazards regression models to assess the associations of race with breast cancer-specific survival and overall survival, stratified by breast quadrants. The models were adjusted for age, year of the diagnosis, tumor size, grade, histological type, tumor laterality, lymph node, estrogen receptor, progesterone receptor, and treatments. RESULTS: Among 454,154 patients (73.0% White, 10.0% Black, 7.8% Asian/PI, and 9.2% Hispanic), 54.3% had tumors diagnosed in the upper-outer quadrant of the breast. Asian/PI women were more likely than White to have tumors diagnosed in the nipple/central portion of the breast and were less likely to have diagnosed in the upper-outer quadrant (P < 0.001), despite a similar distribution of breast quadrant between Black, Hispanic, and White women. Compared with White women, the multivariable-adjusted hazard ratios of breast cancer-specific mortality were 1.41 (95% CI 1.37-1.44) in Black women, 0.82 (95% CI 0.79-0.85) in Asian women, and 1.05 (95% CI 1.02-1.09) in Hispanic women. Among Asian subgroups, Japanese American women had a lower risk of breast cancer-specific mortality (HR = 0.68, 95% CI 0.62-0.74) compared with White women. Overall survival was similar to breast cancer-specific survival in each race group. The race-associated risks did not vary significantly by breast quadrants for breast cancer-specific mortality and all-cause mortality. CONCLUSIONS: Differences in breast cancer survival by race could not be attributed to tumor locations. Understanding the cultural, biological, and lifestyle factors that vary between White, African American, and ethnic subgroups of Asian American women may help explain these survival differences.

Frailty Syndrome and Risk of Sepsis in the REasons for Geographic And Racial Differences in Stroke (REGARDS) Cohort.

BACKGROUND:: Frailty is associated with increased morbidity and mortality in older persons. We sought to characterize the associations between the frailty syndrome and long-term risk of sepsis in a large cohort of community-dwelling adults. METHODS:: We analyzed data on 30 239 community-dwelling adult participants in the REasons for Geographic and Racial Differences in Stroke (REGARDS) cohort. We defined frailty as the presence of at least 2 frailty indicators (weakness, exhaustion, and low physical activity). We defined sepsis as hospitalization for a serious infection with ≥2 system inflammatory response syndrome criteria, identified for the period 2003-2012. We determined the associations between frailty and risk of first sepsis and sepsis 30-day case fatality. RESULTS:: Among REGARDS participants, frailty was present in 6018 (19.9%). Over the 10-year observation period, there were 1529 first-sepsis hospitalizations. Frailty was associated with increased risk of sepsis (adjusted hazard ratio [HR] 1.44; 95% CI: 1.26 to 1.64). The total number of frailty indicators was associated with increased risk of sepsis ( P trend <.001). Among first-sepsis hospitalizations, frailty was associated with increased sepsis 30-day case fatality (adjusted OR 1.62; 95% CI: 1.06 to 2.50). CONCLUSIONS:: In the REGARDS cohort, frailty was associated with increased long-term risk of sepsis and sepsis 30-day case fatality.

Mapping hot spots of breast cancer mortality in the United States: place matters for Blacks and Hispanics.

PURPOSE: The goals of this study were to identify geographic and racial/ethnic variation in breast cancer mortality, and evaluate whether observed geographic differences are explained by county-level characteristics. METHODS: We analyzed data on breast cancer deaths among women in 3,108 contiguous United States (US) counties from years 2000 through 2015. We applied novel geospatial methods and identified hot spot counties based on breast cancer mortality rates. We assessed differences in county-level characteristics between hot spot and other counties using Wilcoxon rank-sum test and Spearman correlation, and stratified all analysis by race/ethnicity. RESULTS: Among all women, 80 of 3,108 (2.57%) contiguous US counties were deemed hot spots for breast cancer mortality with the majority located in the southern region of the US (72.50%, p value < 0.001). In race/ethnicity-specific analyses, 119 (3.83%) hot spot counties were identified for NH-Black women, with the majority being located in southern states (98.32%, p value < 0.001). Among Hispanic women, there were 83 (2.67%) hot spot counties and the majority was located in the southwest region of the US (southern = 61.45%, western = 33.73%, p value < 0.001). We did not observe definitive geographic patterns in breast cancer mortality for NH-White women. Hot spot counties were more likely to have residents with lower education, lower household income, higher unemployment rates, higher uninsured population, and higher proportion indicating cost as a barrier to medical care. CONCLUSIONS: We observed geographic and racial/ethnic disparities in breast cancer mortality: NH-Black and Hispanic breast cancer deaths were more concentrated in southern, lower SES counties.

National Characteristics of Emergency Medical Services Responses for Older Adults in the United States.

OBJECTIVE: Older adults, those aged 65 and older, frequently require emergency care. However, only limited national data describe the Emergency Medical Services (EMS) care provided to older adults. We sought to determine the characteristics of EMS care provided to older adults in the United States. METHODS: We used data from the 2014 National Emergency Medical Services Information System (NEMSIS), encompassing EMS response data from 46 States and territories. We excluded EMS responses for children <18 years, interfacility transports, intercepts, non-emergency medical transports, and standby responses. We defined older adults as age ≥65 years. We compared patient demographics (age, sex, race, primary payer), response characteristics (dispatch time, location type, time intervals), and clinical course (clinical impression, injury, procedures, medications) between older and younger adult EMS emergency 9-1-1 responses. RESULTS: During the study period there were 20,212,245 EMS emergency responses. Among the 16,116,219 adult EMS responses, there were 6,569,064 (40.76%) older and 9,547,155 (59.24%) younger adults. Older EMS patients were more likely to be white and the EMS incident to be located in healthcare facilities (clinic, hospital, nursing home). Compared with younger patients, older EMS patients were more likely to present with syncope (5.68% vs. 3.40%; OR 1.71; CI: 1.71-1.72), cardiac arrest/rhythm disturbance (3.27% vs. 1.69%; OR 1.97; CI: 1.96-1.98), stroke (2.18% vs. 0.74%; OR 2.99; CI: 2.96-3.02) and shock (0.77% vs. 0.38%; OR 2.02; CI: 2.00-2.04). Common EMS interventions performed on older persons included intravenous access (32.02%), 12-lead ECG (14.37%), CPR (0.87%), and intubation (2.00%). The most common EMS drugs administered to older persons included epinephrine, atropine, furosemide, amiodarone, and albuterol or ipratropium. CONCLUSION: One of every three U.S. EMS emergency responses involves older adults. EMS personnel must be prepared to care for the older patient.

National characteristics of Emergency Department visits by patients with cancer in the United States.

PURPOSE: The Emergency Department (ED) is an important venue for the care of patients with cancer. We sought to describe the national characteristics of ED visits by patients with cancer in the United States. METHODS: We performed an analysis of 2012-2014 ED visit data from the National Hospital Ambulatory Medical Care Survey (NHAMCS). We included adult (age≥18years) ED patients, stratified by history of cancer. Using the NHAMCS survey design and weighting variables, we estimated the annual number of adult ED visits by patients with cancer. We compared demographics, clinical characteristics, ED resource utilization, and disposition of cancer vs. non-cancer patients. RESULTS: There were an estimated 104,836,398 annual ED visits. Patients with cancer accounted for an estimated 3,879,665 (95% CI: 3,416,435-4,342,895) annual ED visits. Compared with other ED patients, those with cancer were older (mean 64.8 vs. 45.4years), more likely to arrive by Emergency Medical Services (28.0 vs. 16.9%), and experienced longer lengths of ED stay (mean 4.9 vs. 3.8h). Over 65% of ED patients with cancer underwent radiologic imaging. Patients with cancer almost twice as likely to undergo CT scanning; four times more likely to present with sepsis; twice as likely to present with thrombosis, and three times more likely to be admitted to the hospital than non-cancer patients. CONCLUSIONS: Patients with cancer comprise nearly 4 million ED visits annually. The findings highlight the important role of the ED in cancer care and need for addressing acute care conditions in patients with cancer.

Metabolic dysregulation and cancer mortality in a national cohort of blacks and whites.

BACKGROUND: We examined the association between metabolic dysregulation and cancer mortality in a prospective cohort of Black and White adults. METHODS: A total of 25,038 Black and White adults were included in the analysis. Metabolic dysregulation was defined in two ways: 1) using the joint harmonized criteria for metabolic syndrome (MetS) and 2) based on factor analysis of 15 variables characterizing metabolic dysregulation. We estimated hazards ratios (HRs) and 95% confidence intervals (CIs) for the association of MetS and metabolic dysregulation with cancer mortality during follow-up using Cox proportional hazards models. RESULTS: About 46% of Black and 39% of White participants met the criteria for MetS. Overall, participants with MetS (HR: 1.22, 95% CI: 1.03-1.45) were at increased risk of cancer-related death. In race-stratified analysis, Black participants with MetS had significantly increased risk of cancer mortality compared with those without MetS (HR: 1.32, 95% CI: 1.01-1.72), increasing to more than a 2-fold risk of cancer mortality among those with five metabolic syndrome components (HR: 2.35, 95% CI: 1.01-5.51). CONCLUSIONS: There are marked racial differences in the prevalence of metabolic dysregulation defined as MetS based on the harmonized criteria. The strong positive associations between MetS and cancer mortality suggests that efforts to improve cancer outcomes in general, and racial disparities in cancer outcomes specifically, may benefit from prevention and management of MetS and its components.

Metabolic Syndrome Prevalence by Race/Ethnicity and Sex in the United States, National Health and Nutrition Examination Survey, 1988-2012.

INTRODUCTION: Metabolic syndrome is a cluster of cardiometabolic risk factors associated with increased risk of multiple chronic diseases, including cancer and cardiovascular disease. The objectives of this study were to estimate the prevalence of metabolic syndrome overall, by race and sex, and to assess trends in prevalence from 1988 through 2012. METHODS: We analyzed data from the National Health and Nutrition Examination Survey (NHANES) for 1988 through 2012. We defined metabolic syndrome as the presence of at least 3 of these components: elevated waist circumference, elevated triglycerides, reduced high-density lipoprotein cholesterol, high blood pressure, and elevated fasting blood glucose. Data were analyzed for 3 periods: 1988-1994, 1999-2006, and 2007-2012. RESULTS: Among US adults aged 18 years or older, the prevalence of metabolic syndrome rose by more than 35% from 1988-1994 to 2007-2012, increasing from 25.3% to 34.2%. During 2007-2012, non-Hispanic black men were less likely than non-Hispanic white men to have metabolic syndrome (odds ratio [OR], 0.77; 95% confidence interval [CI], 0.66-0.89). However, non-Hispanic black women were more likely than non-Hispanic white women to have metabolic syndrome (OR, 1.20; 95% CI, 1.02-1.40). Low education level (OR, 1.56; 95% CI, 1.32-1.84) and advanced age (OR, 1.73; 95% CI, 1.67-1.80) were independently associated with increased likelihood of metabolic syndrome during 2007-2012. CONCLUSION: Metabolic syndrome prevalence increased from 1988 to 2012 for every sociodemographic group; by 2012, more than a third of all US adults met the definition and criteria for metabolic syndrome agreed to jointly by several international organizations.

A prospective study of dietary patterns and cancer mortality among Blacks and Whites in the REGARDS cohort.

Marked racial differences exist in dietary patterns and obesity, as well as cancer mortality. This study aims to assess whether dietary patterns are associated with cancer mortality overall and by race. We identified 22,041 participants from the REasons for Geographic and Racial Differences in Stroke (REGARDS) cohort. Dietary patterns were categorized into: Convenience (Chinese and Mexican foods, pasta, pizza), Plant-based (fruits, vegetables), Southern (added fats, fried foods, sugar-sweetened beverages), Sweets/Fats (sugary foods) and Alcohol/Salads (alcohol, green-leafy vegetables, salad dressing). Using Cox regression, we examined the association between quartiles of dietary patterns and cancer mortality, adjusted for potential confounders, overall among all participants and stratified by race. A total of 873 cancer deaths were observed over the 10-year observation period: 582 (66.7%) in Whites and 291 (33.3%) in Blacks. Greater adherence to the Southern dietary pattern was associated with an increased risk of cancer mortality (4th vs. 1st quartile HR: 1.67; 95% CI: 1.32-2.10) overall, especially among Whites (4th vs. 1st quartile HR: 1.59; 95% CI: 1.22-2.08). The convenience (HR: 0.73; 95% CI: 0.56-0.94) and Plant-based (HR: 0.72; 95% CI: 0.55-0.93) dietary patterns were associated with up to a 28% reduced risk of cancer mortality, but only among Whites. Greater adherence to the Southern dietary pattern increased the risk of cancer mortality, while greater adherence to the convenience and Plant-based diets reduced the risk of cancer mortality among Whites. Racial differences were observed in the association between dietary patterns and cancer mortality, but warrant further study.

Racial disparities in individual breast cancer outcomes by hormone-receptor subtype, area-level socio-economic status and healthcare resources.

The aim of the study is to determine the influence of area-level socio-economic status and healthcare access in addition to tumor hormone-receptor subtype on individual breast cancer stage, treatment, and mortality among Non-Hispanic (NH)-Black, NH-White, and Hispanic US adults. Analysis was based on 456,217 breast cancer patients in the SEER database from 2000 to 2010. Multilevel and multivariable-adjusted logistic and Cox proportional hazards regression analysis was conducted to account for clustering by SEER registry of diagnosis. NH-Black women had greater area-level access to healthcare resources compared with women of other races. For instance, the average numbers of oncology hospitals per million population in counties with NH-Black, NH-White, and Hispanic women were 8.1, 7.7, and 5.0 respectively; average numbers of medical doctors per million in counties with NH-Black, NH-White, and Hispanic women were 100.7, 854.0, and 866.3 respectively; and average number of Ob/Gyn in counties with NH-Black, NH-White, and Hispanic women was 155.6, 127.4, and 127.3, respectively (all p values <0.001). Regardless, NH-Black women (HR 1.39, 95 % CI 1.36-1.43) and Hispanic women (HR 1.05, 95 % CI 1.03-1.08) had significantly higher breast cancer mortality compared with NH-White women even after adjusting for hormone-receptor subtype, area-level socio-economic status, and area-level healthcare access. In addition, lower county-level socio-economic status and healthcare access measures were significantly and independently associated with stage at presentation, surgery, and radiation treatment as well as mortality after adjusting for age, race/ethnicity, and HR subtype. Although breast cancer HR subtype is a strong, important, and consistent predictor of breast cancer outcomes, we still observed significant and independent influences of area-level SES and HCA on breast cancer outcomes that deserve further study and may be critical to eliminating breast cancer outcome disparities.

Defining Sepsis Mortality Clusters in the United States.

OBJECTIVES: In the United States, sepsis is a major public health problem accounting for over 200,000 annual deaths. The aims of this study were to identify U.S. counties with high sepsis mortality and to assess the community characteristics associated with increased sepsis mortality. DESIGN: We performed a descriptive analysis of 2003 through 2012 Compressed Mortality File data. We defined sepsis deaths as deaths associated with an infection, classified according to the International Classification of Diseases, 10th Version. SETTING: Three thousand one hundred and eight counties in the contiguous U.S. counties, excluding Hawaii and Alaska. MEASUREMENTS AND MAIN RESULTS: Using geospatial autocorrelation methods, we defined county-level sepsis mortality as strongly clustered, moderately clustered, and nonclustered. We approximated the mean crude, age-adjusted, and community-adjusted sepsis mortality rates nationally and for clustering groups. We contrasted demographic and community characteristics between clustering groups. We performed logistic regression for the association between strongly clustered counties and community characteristics. Among 3,108 U.S. counties, the age-adjusted sepsis mortality rate was 59.6 deaths per 100,000 persons (95% CI, 58.9-60.4). Sepsis mortality was higher in the Southern U.S. and clustered in three major regions: Mississippi Valley, Middle Georgia, and Central Appalachia. Among 161 (5.2%) strongly clustered counties, age-adjusted sepsis mortality was 93.1 deaths per 100,000 persons (95% CI, 90.5-95.7). Strongly clustered sepsis counties were more likely to be located in the south (92.6%; p < 0.001), exhibit lower education, higher impoverished population, without medical insurance, higher medically uninsured rates, and had higher unemployment rates (p < 0.001). CONCLUSIONS: Sepsis mortality is higher in the Southern United States, with three regional clusters: "Mississippi Valley," "Middle Georgia," and "Central Appalachia": Regions of high sepsis mortality are characterized by lower education, income, employment, and insurance coverage.

Disparities in the prevalence of comorbidities among US adults by state Medicaid expansion status.

INTRODUCTION: About 92% of US older adults have at least one chronic disease or medical condition and 77% have at least two. Low-income and uninsured adults in particular experience a higher burden of comorbidities, and the Medicaid expansion provision of the Affordable Care Act was designed to improve access to healthcare in this population group. However, a significant number of US states have declined expansion. The purpose of this study is to determine the distribution of low-income and uninsured adults in expanded versus non-expanded states, and evaluate the prevalence of comorbidities in both groups. METHODS: Data from the 2013 Behavioral Risk Factor Surveillance System (BRFSS) dataset was analyzed, and Medicaid expansion status was assessed from the Center for Medicare and Medicaid Services report on State Medicaid and CHIP Income Eligibility Standards. Next, age adjusted mean number of comorbidities between expanded and non-expanded states was compared, with adjustment for socio-demographic differences. RESULTS: Expanded states had a higher proportion of adults with income of at least $50,000 per year (39.6% vs. 35.5%, p<0.01) and a lower proportion of individuals with no health insurance coverage (15.2% vs. 20.3%, p<0.01) compared with non-expanded states. Among the uninsured, there was a higher proportion of obese (31.6% vs. 26.9%, p<001), and higher average number of comorbidities (1.62 vs. 1.52, p<0.01) in non-expanded states compared to expanded states. Overall, the prevalence of comorbidities was higher among BRFSS participants in states that did not expand Medicaid compared with those in expanded states. CONCLUSION: States without Medicaid expansion have a greater proportion of poor, uninsured adults with more chronic diseases and conditions.