Urbanicity, Income, and Mammography-Use Disparities Among American Indian Women.

INTRODUCTION: Reported breast cancer screening among American Indian women is consistently below that of White women. The last claims-based trends were from 1991 to 2001. This study updates mammography trends for American Indian women and examines the impact of race, urbanicity, and income on long-term mammography use. METHODS: This was a multi-year (2005-2019), retrospective study of women aged 40-89 years using a 5% sample of Medicare fee-for-service beneficiaries residing in Arizona, California, New Mexico, Oklahoma, and Washington. This study used multivariable logistic regression to examine the impact of urbanicity and income on receiving mammography for American Indian women compared with that for White women. Analyses were conducted in 2022. RESULTS: Overall, annual age-adjusted mammography use declined from 205 per 1,000 in 2005 to 165 per 1,000 in 2019. The slope of these declines was significantly steeper (difference = -2.41, p<0.001) for White women (-3.06) than for American Indian women (-0.65). Mammography-use odds across all urbanicity categories were less for American Indian women than for White women compared with those of their respective metropolitan counterparts (e.g., rural: 0.96, 95% CI=0.77, 1.20 for American Indian women and 1.47, 99% CI=1.39, 1.57 for White women). Although residing in higher-income communities was not associated with mammography use for American Indian women, it was 31% higher for White women (OR=1.31, 99% CI=1.28, 1.34). CONCLUSIONS: The disparity in annual age-adjusted mammography use between American Indian and White women narrowed between 2005 and 2019. However, the association of urbanicity and community income on mammography use differs substantially between American Indian and White women. Policies to reduce disparities need to consider these differences.

Seletividade socioterritorial e étnico-racial: papel das políticas sociais no enfrentamento de desigualdades históricas / Socio-territorial selectivity: the role of social policies in facing historical inequalities

O presente artigo tem como objetivo geral demonstrar a importância da dimensão étnico-racial na área da habitação, enfatizando os fenômenos socioespaciais atuais, com foco na seletividade socioterritorial. Para tal, utiliza-se de ampla revisão de literatura fundamentada no materialismo histórico e dialético em Marx, bem como nas análises sobre território e espaço de Milton Santos. Assim, evidenciando as motivações deste recorte fazer-se fundamental na área a partir de um resgate histórico sobre a formação socioespacial do espaço urbano no Brasil, tornando notória a consequente seletividade socioterritorial existente nos dias atuais. A partir da contextualização histórica, as ocupações irregulares são tidas como um reflexo desta questão e as Zonas Especiais de Interesse Social (ZEIS) tornam-se um importante suporte na garantia de moradia adequada à população de baixa renda; porém, ainda um tanto ineficazes sem um olhar atento para quem são os usuários das políticas e serviços ali presentes. Ademais, se fomenta o debate sobre a dimensão étnico racial precisar estar presente desde a formação acadêmica, visto que atualmente o conteúdo referente à temática é escasso ou quase nulo

This article aims to demonstrate the importance of the ethnic-racial dimension in housing, emphasizing current socio-spatial phenomena, with a focus on socio-territorial selectivity. In order to do so, it makes use of an extensive literature review based on Marx's historical and dialectical materialism, as well as Milton Santos' analysis of territory and space. Thus, evidencing the motivations of this cut, making itself fundamental in the area from a historical review of the socio-spatial formation of urban space in Brazil, making evident the consequent socio-territorial selectivity existing today. From the historical context, irregular occupations are seen as a reflection of this issue and the Special Zones of Social Interest (ZEIS) become an important support in guaranteeing adequate housing for the low-income population; however, they are still somewhat ineffective without a careful look at who the users of the policies and services present there are. Furthermore, the debate on the racial ethnic dimension is fostered, it needs to be present since academic training, as currently the content related to the subject is scarce or almost nil

Rates of Influenza-Associated Hospitalization, Intensive Care Unit Admission, and In-Hospital Death by Race and Ethnicity in the United States From 2009 to 2019.

Importance: Racial and ethnic minority groups, such as Black, Hispanic, American Indian or Alaska Native, and Asian or Pacific Islander persons, often experience higher rates of severe influenza disease. Objective: To describe rates of influenza-associated hospitalization, intensive care unit (ICU) admission, and in-hospital death by race and ethnicity over 10 influenza seasons. Design, Setting, and Participants: This cross-sectional study used data from the Influenza-Associated Hospitalization Surveillance Network (FluSurv-NET), which conducts population-based surveillance for laboratory-confirmed influenza-associated hospitalizations in selected counties, representing approximately 9% of the US population. Influenza hospitalizations from the 2009 to 2010 season to the 2018 to 2019 season were analyzed. Data were analyzed from October 2020 to July 2021. Main Outcomes and Measures: The main outcomes were age-adjusted and age-stratified rates of influenza-associated hospitalization, ICU admission, and in-hospital death by race and ethnicity overall and by influenza season. Results: Among 113 352 persons with an influenza-associated hospitalization (34 436 persons [32.0%] aged ≥75 years; 61 009 [53.8%] women), 70 225 persons (62.3%) were non-Hispanic White (White), 24 850 persons (21.6%) were non-Hispanic Black (Black), 11 903 persons (10.3%) were Hispanic, 5517 persons (5.1%) were non-Hispanic Asian or Pacific Islander, and 857 persons (0.7%) were non-Hispanic American Indian or Alaska Native. Among persons aged younger than 75 years and compared with White persons of the same ages, Black persons were more likely to be hospitalized (eg, age 50-64 years: rate ratio [RR], 2.50 95% CI, 2.43-2.57) and to be admitted to an ICU (eg, age 50-64 years: RR, 2.09; 95% CI, 1.96-2.23). Among persons aged younger than 50 years and compared with White persons of the same ages, American Indian or Alaska Native persons were more likely to be hospitalized (eg, age 18-49 years: RR, 1.72; 95% CI, 1.51-1.96) and to be admitted to an ICU (eg, age 18-49 years: RR, 1.84; 95% CI, 1.40-2.42). Among children aged 4 years or younger and compared with White children, hospitalization rates were higher in Black children (RR, 2.21; 95% CI, 2.10-2.33), Hispanic children (RR, 1.87; 95% CI, 1.77-1.97), American Indian or Alaska Native children (RR, 3.00; 95% CI, 2.55-3.53), and Asian or Pacific Islander children (RR, 1.26; 95% CI, 1.16-1.38), as were rates of ICU admission (Black children: RR, 2.74; 95% CI, 2.43-3.09; Hispanic children: RR, 1.96; 95% CI, 1.73-2.23; American Indian and Alaska Native children: RR, 3.51; 95% CI, 2.45-5.05). In this age group and compared with White children, in-hospital death rates were higher among Hispanic children (RR, 2.98; 95% CI, 1.23-7.19), Black children (RR, 3.39; 95% CI, 1.40-8.18), and Asian or Pacific Islander children (RR, 4.35; 95% CI, 1.55-12.22). Few differences were observed in rates of severe influenza-associated outcomes by race and ethnicity among adults aged 75 years or older. For example, in this age group, compared with White adults, hospitalization rates were slightly higher only among Black adults (RR, 1.05; 95% CI 1.02-1.09). Overall, Black persons had the highest age-adjusted hospitalization rate (68.8 [95% CI, 68.0-69.7] hospitalizations per 100 000 population) and ICU admission rate (11.6 [95% CI, 11.2-11.9] admissions per 100 000 population). Conclusions and Relevance: This cross-sectional study found racial and ethnic disparities in rates of severe influenza-associated disease. These data identified subgroups for whom improvements in influenza prevention efforts could be targeted.

Racial disparities in intensity of smoke exposure and nicotine intake among low-dependence smokers.

BACKGROUND: Compared to white smokers, Black smokers are at disproportionately higher risk for smoking-related disease, despite consuming fewer cigarettes per day (CPD). To examine racial disparities in biobehavioral influences on smoking and disease risk, we analyzed the relationship between self-reported tobacco dependence and intensity of tobacco smoke exposure per cigarette, on the one hand, and intensity of nicotine intake per cigarette, on the other. METHODS: In 270 Black and 516 white smokers, smoke exposure was measured by expired carbon monoxide (CO), and nicotine intake was measured by plasma cotinine (COT) and cotinine+3'-hydroxycotinine ([COT + 3HC]). Using linear regression analyses, we analyzed how the Fagerström Test for Cigarette Dependence (FTCD) predicted intensity of smoke exposure per cigarette (CO/CPD) and intensity of nicotine intake per cigarette (COT/CPD; [COT + 3HC]/CPD), and how race moderated these relations. RESULTS: Overall, Black smokers consumed fewer CPD than white smokers and had higher levels of CO/CPD, COT/CPD, and [COT + 3HC]/CPD. These elevations were most pronounced at lower levels of dependence: amongst Black smokers, FTCD negatively predicted intensity of smoke exposure as measured by CO/CPD (B = -0.12, 95% CI = -0.18, -0.05, p = 0.0003) and intensity of nicotine intake as measured by [COT + 3HC]/CPD (B = -1.31, 95% CI = -2.15, -0.46, p = 0.002). CONCLUSIONS: Low-dependence Black smokers had higher intensities of both smoke exposure and nicotine intake per cigarette compared to similarly dependent white smokers, suggesting that measures of dependence, exposure, and intake underestimate incremental risk of each cigarette to Black smokers.

When Is Hope Enough? Hopefulness, Discrimination and Racial/Ethnic Disparities in Allostatic Load.

Hopefulness is associated with better health and may be integral for stress adaptation and resilience. Limited research has prospectively examined whether hopefulness protects against physiological dysregulation or does so similarly for U.S. whites, blacks and Hispanics. We examined the association between baseline hopefulness and future allostatic load using data from the Health and Retirement Study (n = 8,486) and assessed differences in this association by race/ethnicity and experiences of discrimination. Four items measured hopefulness and allostatic load was a count of seven biomarkers for which a respondent's measured value was considered high-risk for disease. A dichotomous variable assessed whether respondents experienced at least one major act of discrimination in their lifetime. We used Poisson regression to examine the association between hopefulness and allostatic load and included a multiplicative interaction term to test racial/ethnic differences in this association. Subsequent analyses were stratified by race/ethnicity and tested the interaction between hopefulness and discrimination within each racial/ethnic group. Hopefulness was associated with lower allostatic load scores, but its effects varied significantly by race/ethnicity. Race-stratified analyses suggested that hopefulness was protective among whites and not associated with allostatic load among Hispanics irrespective of experiencing discrimination. Hopefulness was associated with lower allostatic load among blacks reporting discrimination but associated with higher allostatic load among those who did not. Findings suggest that hopefulness plays differing roles for older whites, blacks and Hispanics and, for blacks, its protective effects on physiological dysregulation are intricately tied to their experiences of discrimination.

A Pilot Study of Racial Differences in the Current Definition of Sarcopenia among Liver Transplant Candidates.

Sarcopenia has been shown to have prognostic value in patients awaiting liver transplant. However, the presence of sarcopenia as a prognostic factor among patients awaiting liver transplantation might vary by race. This study aims to assess racial differences of sarcopenia in liver transplant candidates. This retrospective study assessed 102 patients on a liver transplantation list from 2012 to 2016 and used demographic and clinical variables to predict sarcopenia as measured by skeletal muscle index (SMI) and death or removal from the transplant list. Three racial groups were compared in the study: whites (n=34), Asians (n=50), and Native Hawaiians and Other Pacific Islanders (NHOPIs; n=18). NHOPI were more likely to have a body mass index (BMI) ≥ 30 and hepatitis B, and less likely to have alcoholic cirrhosis and sarcopenia than whites. Asians were more likely to have hepatitis B and less likely to have alcoholic cirrhosis and encephalopathy than other races. Using logistic regression, a BMI ≥ 30, multiple waiting list events, alcoholic cirrhosis, and sarcopenia were predictive of death or removal from the list. Although NHOPI had a higher BMI, they had less sarcopenia and similar frequency of ascites, encephalopathy, multiple waiting list events, and death or removal from the list compared to other races. Racial variations in muscle mass might have resulted in fewer NHOPI having sarcopenia as defined by the US criteria. Larger studies of patients with varying ethnicity are needed to develop a universally applicable definition of sarcopenia before we use this for liver transplant listing or allocation.

Trends in Acute Myocardial Infarction by Race and Ethnicity.

Background Trends in acute myocardial infarction (AMI) incidence rates for diverse races/ethnicities are largely unknown, presenting barriers to understanding the role of race/ethnicity in AMI occurrence. Methods and Results We identified AMI hospitalizations for Kaiser Permanente Southern California members, aged ≥35 years, during 2000 to 2014 using discharge diagnostic codes. We excluded hospitalizations with missing race/ethnicity information. We calculated annual incidence rates (age and sex standardized to the 2010 US census population) for AMI, ST-segment-elevation myocardial infarction, and non-ST-segment-elevation myocardial infarction by race/ethnicity (Hispanic and non-Hispanic racial groups: Asian or Pacific Islander, black, and white). Using Poisson regression, we estimated annual percentage change in AMI, non-ST-segment-elevation myocardial infarction, and ST-segment-elevation myocardial infarction incidence by race/ethnicity and AMI incidence rate ratios between race/ethnicity pairs, adjusting for age and sex. We included 18 630 776 person-years of observation and identified 44 142 AMI hospitalizations. During 2000 to 2014, declines in AMI, non-ST-segment-elevation myocardial infarction, and ST-segment-elevation myocardial infarction were 48.7%, 34.2%, and 69.8%, respectively. Age- and sex-standardized AMI hospitalization rates/100 000 person-years declined for Hispanics (from 307 to 162), Asians or Pacific Islanders (from 271 to 158), blacks (from 347 to 199), and whites (from 376 to 189). Annual percentage changes ranged from -2.99% to -4.75%, except for blacks, whose annual percentage change was -5.32% during 2000 to 2009 and -1.03% during 2010 to 2014. Conclusions During 2000 to 2014, AMI, non-ST-segment-elevation myocardial infarction, and ST-segment-elevation myocardial infarction hospitalization incidence rates declined substantially for each race/ethnic group. Despite narrowing rates among races/ethnicities, differences persist. Understanding these differences can help identify unmet needs in AMI prevention and management to guide targeted interventions.

Risk Factors for Heart Failure: 20-Year Population-Based Trends by Sex, Socioeconomic Status, and Ethnicity.

BACKGROUND: There are multiple risk factors for heart failure, but contemporary temporal trends according to sex, socioeconomic status, and ethnicity are unknown. METHODS: Using a national UK general practice database linked to hospitalizations (1998-2017), 108 638 incident heart failure patients were identified. Differences in risk factors among patient groups adjusted for sociodemographic factors and age-adjusted temporal trends were investigated using logistic and linear regression. RESULTS: Over time, a 5.3 year (95% CI, 5.2-5.5) age difference between men and women remained. Women had higher blood pressure, body mass index, and cholesterol than men (P<0.0001). Ischemic heart disease prevalence increased for all to 2006 before reducing in women by 0.5% per annum, reaching 42.7% (95% CI, 41.7-43.6), but not in men, remaining at 57.7% (95% CI, 56.9-58.6; interaction P=0.002). Diabetes mellitus prevalence increased more in men than in women (interaction P<0.0001). Age between the most deprived (74.6 years [95% CI, 74.1-75.1]) and most affluent (79.9 [95% CI, 79.6-80.2]) diverged (interaction P<0.0001), generating a 5-year gap. The most deprived had significantly higher annual increases in comorbidity numbers (+0.14 versus +0.11), body mass index (+0.14 versus +0.11 kg/m2), and lower smoking reductions (-1.2% versus -1.7%) than the most affluent. Ethnicity trend differences were insignificant, but South Asians were overall 6 years and the black group 9 years younger than whites. South Asians had more ischemic heart disease (+16.5% [95% CI, 14.3-18.6]), hypertension (+12.5% [95% CI, 10.5-14.3]), and diabetes mellitus (+24.3% [95% CI, 22.0-26.6]), and the black group had more hypertension (+12.3% [95% CI, 9.7-14.8]) and diabetes mellitus (+13.1% [95% CI, 10.1-16.0]) but lower ischemic heart disease (-10.6% [95% CI, -13.6 to -7.6]) than the white group. CONCLUSIONS: Population groups show distinct risk factor trend differences, indicating the need for contemporary tailored prevention programs.

Cardiogenic shock during heart failure hospitalizations: Age-, sex-, and race-stratified trends in incidence and outcomes.

The objectives were to study the overall and age-, sex-, and race-stratified incidence of cardiogenic shock (CS) during heart failure hospitalizations (HFHs) not complicated by acute coronary syndromes (ACS), utilization of short-term mechanical circulatory support (MCS) and in-hospital mortality with non-ACS-related CS, and respective temporal trends. Data are lacking regarding the epidemiology of non-ACS-related CS during HFHs. METHODS: Retrospective observational analysis of the National Inpatient Sample 2005-2014 to identify all HFHs in adult patients without concomitant ACS. RESULTS: Of 8,333,752 HFHs, incidence rate of non-ACS-related CS was 8.7 per thousand HFHs (N = 72,668), a 4-fold increase from 4.1 to 15.6 per thousand HFHs between 2005 and 2014 (Ptrend < .001). Among those with non-ACS-related CS, utilization rates of intra-aortic balloon pump, extracorporeal membrane oxygenation, and temporary ventricular assist devices were 12.8%, 1.4%, and 2.5%, respectively. Respective 2005 to 2014 trends were 14.2% to 10.7%, 0.6% to 1.8%, and 0.8% to 2.7% (Ptrend for all, <.001). In-hospital mortality rate was 27.1%, with a substantial decrease from 42.4% in 2005 to 23.3% in 2014 (Ptrend < .001). These temporal trends were largely consistent across age, sex, and race subgroups. CONCLUSION: During HFHs in the United States, non-ACS-related CS occurred infrequently but was associated with substantial mortality. Non-ACS-related CS incidence and certain MCS utilization rates increased, and in-hospital mortality rate decreased between 2005 and 2014. These trends were generally homogenous across the age, sex, and race groups. The observed trends in incidence and mortality may be a reflection of increased identification of CS during HFHs, although further study is needed to assess whether temporal changes in care may have influenced outcomes.

Advancing Science: How Bias Holds Us Back.

As scientists and engineers, we must recognize the overwhelming evidence that we each harbor bias that influences our professional decisions. Yet, solving today's increasingly complex public health challenges requires diverse perspectives from multidisciplinary teams. We all have the opportunity to actively promote a more representative scientific community; let's harness the power of collective action to build diverse teams that deliver the most innovative science.