Advancing Aging Research through a Health Disparities Perspective.

The proportion of older adults in the U.S. is growing, and the older adult population is also becoming increasingly diverse. However, there are limited data on the aging process and older adults in underserved populations. Equitable participation in research studies on aging, the research workforce, and the healthcare workforce is critical to improve health outcomes for the entire U.S. population. Health disparities frameworks offer researchers and healthcare professionals the tools to develop and evaluate aging research that addresses all levels of analysis and domains of influence. Although there have been efforts to diversify the healthcare and research workforce, significant disparities in representation remain. In this perspective, we discuss existing aging health disparities, health disparities frameworks to use as tools to better conduct aging research, methods to enhance the proportion of underrepresented populations in aging research, and the current gaps in as well as efforts to enhance the diversity of the healthcare and research workforces.

The PhenX Toolkit: Recommended Measurement Protocols for Social Determinants of Health Research.

Health disparities are driven by unequal conditions in the environments in which people are born, live, learn, work, play, worship, and age, commonly termed the Social Determinants of Health (SDoH). The availability of recommended measurement protocols for SDoH will enable investigators to consistently collect data for SDoH constructs. The PhenX (consensus measures for Phenotypes and eXposures) Toolkit is a web-based catalog of recommended measurement protocols for use in research studies with human participants. Using standard protocols from the PhenX Toolkit makes it easier to compare and combine studies, potentially increasing the impact of individual studies, and aids in comparability across literature. In 2018, the National Institute on Minority Health and Health Disparities provided support for an initial expert Working Group to identify and recommend established SDoH protocols for inclusion in the PhenX Toolkit. In 2022, a second expert Working Group was convened to build on the work of the first SDoH Working Group and address gaps in the SDoH Toolkit Collections. The SDoH Collections consist of a Core Collection and Individual and Structural Specialty Collections. This article describes a Basic Protocol for using the PhenX Toolkit to select and implement SDoH measurement protocols for use in research studies. © 2024 The Authors. Current Protocols published by Wiley Periodicals LLC. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA. Basic Protocol: Using the PhenX Toolkit to select and implement SDoH protocols.

Racial and ethnic disparities in the association between financial hardship and self-reported weight change during the first year of the pandemic in the U.S.

Studies have shown that financial hardship can impact weight change; however, it is unclear what the economic impact of the COVID-19 pandemic has had on weight change in U.S. adults, or whether racial-ethnic groups were impacted differentially. We estimated the association between financial hardship and self-reported weight change using data from the cross-sectional COVID-19's Unequal Racial Burden (CURB) survey, a nationally representative online survey of 5,500 American Indian/Alaska Native, Asian, Black/African American, Latino (English- and Spanish-speaking), Native Hawaiian/Pacific Islander, White, and multiracial adults conducted from 12/2020 to 2/2021. Financial hardship was measured over six domains (lost income, debt, unmet general expenses, unmet healthcare expenses, housing insecurity, and food insecurity). The association between each financial hardship domain and self-reported 3-level weight change variable were estimated using multinomial logistic regression, adjusting for sociodemographic and self-reported health. After adjustment, food insecurity was strongly associated with weight loss among American Indian/Alaska Native (aOR = 2.18, 95% CI = 1.05-4.77), Black/African American (aOR = 1.77, 95% CI = 1.02-3.11), and Spanish-speaking Latino adults (aOR = 2.32, 95% CI = 1.01-5.35). Unmet healthcare expenses were also strongly associated with weight loss among Black/African American, English-speaking Latino, Spanish-speaking Latino, and Native Hawaiian/Pacific Islander adults (aORs = 2.00-2.14). Other domains were associated with weight loss and/or weight gain, but associations were not as strong and less consistent across race-ethnicity. In conclusion, food insecurity and unmet healthcare expenses during the pandemic were strongly associated with weight loss among racial-ethnic minority groups. Using multi-dimensional measures of financial hardship provides a comprehensive assessment of the effects of specific financial hardship domains on weight change among diverse racial-ethnic groups.

Racial and ethnic disparities in inferior vena cava filter placement for deep vein thrombosis in the United States.

OBJECTIVE: We sought to determine whether racial and ethnic disparities existed in inferior vena cava (IVC) filter (IVCF) placement rates among Black and Latino patients for the treatment of acute proximal lower extremity (LE) deep vein thrombosis (DVT) in the United States from 2016 to 2019. METHODS: We performed a retrospective review of National Inpatient Sample data to identify adult patients with a primary discharge diagnosis of acute proximal LE DVT from January 2016 to December 2019, including self-reported patient race and ethnicity. IVCF placement rates were identified using International Classification of Diseases, 10th revision, codes. Weighted multivariable logistic regression was used to compare IVCF use by race and ethnicity. The regression model was adjusted for patient demographics (ie, sex, primary payer, quartile classification of household income), hospital information (ie, region, location, teaching status, bed size), weekend admission, and clinical characteristics (ie, modified Charlson comorbidity index, hypertension, atrial fibrillation, diabetes mellitus type 2, congestive heart failure, dyslipidemia, coronary artery disease, smoking, obesity, alcohol abuse, chronic kidney disease, pulmonary embolism, malignancy, contraindications to anticoagulation, including other major bleeding). RESULTS: Of 134,499 acute proximal LE DVT patients, 18,909 (14.1%) received an IVCF. Of the patients who received an IVCF, 12,733 were White (67.3%), 3563 were Black (18.8%), and 1679 were Latino (8.9%). IVCF placement decreased for all patient groups between 2016 and 2019. After adjusting for the U.S. population distribution, the IVCF placement rates were 11 to 12/100,000 persons for Black patients, 7 to 8/100,000 persons for White patients, and 4 to 5/100,000 persons for Latino patients. The difference in IVCF placement rates was statistically significant between patient groups (Black patients vs White patients, P < .05; Black patients vs Latino patients, P < .05; Latino patients vs White patients, P < .05). CONCLUSIONS: This nationwide study showed that Black patients have higher IVCF placement rates compared with White and Latino patients. Given the known long-term complications and uncertain benefits of IVCFs, coupled with the 2010 U.S. Food and Drug Administration safety warning regarding adverse patient events for these devices, proactive measures should be taken to address this disparity among the Black patient population to promote health equity. Future work should assess whether clinician bias might be perpetuating this disparity.

Noncigarette Tobacco Product Use Among Smoking-Susceptible and Nonsusceptible Adolescent Never Smokers, 2009-2021.

PURPOSE: Examine trends in noncigarette tobacco use among smoking susceptible and nonsusceptible adolescents from 2009-2021. METHODS: Data came from cross-sectional samples of the National Youth Tobacco Survey (N = 183,198). Using Pierce's smoking susceptibility scale, participants were classified as either susceptible or nonsusceptible to cigarette smoking. Their use of noncigarette tobacco products was classified into four mutually exclusive categories: nonuse, noncigarette combustibles use, noncombustibles use, and noncigarette combustibles and noncombustibles dual use. We produced covariate-adjusted predicted marginal proportions of noncigarette tobacco use for 12 National Youth Tobacco Survey years, which were entered into Joinpoint trend analysis software to determine (a) trends in noncigarette tobacco use from 2009-2021 using the average annual percent changes (AAPCs) and (b) changes in each time segment using the average percent change. Models were fitted by smoking susceptibility, sex, and race/ethnicity. RESULTS: Nonuse was lower among susceptible (vs. nonsusceptible) adolescents whereas noncigarette tobacco use was higher. Trends show significant declines in nonuse (nonsusceptible: AAPC = -0.3%) and noncigarette combustibles use (susceptible: AAPC = -12%) between 2009-2021, increases in noncombustibles use (susceptible: AAPC = 18%, nonsusceptible: AAPC = 19%) between 2009 and 2019, and steadiness in dual use. Parallel trends were observed when stratified by sex and race/ethnicity with notable increases in noncombustibles use among females and Latinos. DISCUSSION: Noncigarette tobacco use differed by smoking susceptibility. Observed trends, especially when stratified by sex and race/ethnicity, raise concerns about tobacco use disparities among females and Latinos. Smoking susceptibility can help identify at-risk adolescents for current or future tobacco use.

The Pillars of Health Disparities Science-Race, Ethnicity, and Socioeconomic Status.

This Viewpoint examines the importance of race and ethnicity and socioeconomic status as the pillars of health disparities science.

Health equity is not possible without addressing disparities.

Health equity is the aspirational assurance of optimal health for all. Synonymous with fair and just opportunities for physical and mental health, equity work reflects intentional efforts to remove access barriers and allocate high-quality, need-based resources. Health equity is not possible without meaningful reductions in disparities-and evaluating progress goes further to describe, assess, and continuously evaluate fairness and social justice within structures, community contexts, and healthcare. The National Institute on Minority Health and Health Disparities (NIMHD) has a longstanding and deep commitment to advancing health equity. This article describes efforts in two specific areas: workforce diversity, equity, and inclusion (DEI) and scientific initiatives. We also summarize five actionable strategies for health equity promotion in health psychology-relevant research and practice, including increasing workforce DEI, inclusive research participation, cultural competence and humility, applying community-engaged research principles, and going beyond "do no harm." Meaningful equity work often requires major shifts in approaches, dedicated resources, and targeted efforts toward social justice. The current emphasis on addressing health disparities and understanding the structural factors underlying them presents unequivocal opportunities for changes in clinical practice and research. NIMHD seeks to support innovative health psychology and behavioral medicine research with the potential to transform health via effective and equitable interventions/treatments, systems changes, and policies. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Self-reported health among immigrants in Luxembourg: insights from a nationally representative sample.

Aim: Although immigrants account for nearly half of Luxembourg's population, few studies have investigated differences in self-reported health by nationality in Luxembourg. Our study aimed to explore the association between nationality and self-reported health in Luxembourg. Subject and methods: Cross-sectional data from the 2015-2016 Panel Socio-Economique Liewen zu Lëtzebuerg (PSELL3) were used. Nationalities included Luxembourger, Portuguese, French, Italian, Belgian and German. Multivariable logistic regression analyses examined the association between nationality and three self-reported health measures: general health status, limitation in activity due to a health problem, and living with a chronic illness or condition. Results: Of 8084 participants, 65% were Luxembourgers, 20% were Portuguese, and the remaining 15% were French, Italian, Belgian, or German. Italian nationals were more likely to report fair, poor, or very poor health [aOR = 1.54; 95% CI = 1.07, 2.22] and Portuguese nationals demonstrated both higher odds of fair, poor, or very poor health [aOR = 1.57; 95% CI = 1.28, 1.92] and limitation in activity [aOR = 1.32; 95% CI = 1.07, 1.64] compared to Luxembourgers. However, Portuguese nationals were also less likely to report living with a chronic illness [aOR = 0.79; 95% CI = 0.63, 0.98]. In education-stratified models, primary-educated Portuguese nationals were more likely to report fair, poor, or very poor health [aOR = 1.78, 95% CI = 1.36, 1.92] and limitation in activity [aOR = 1.36, 95% CI = 1.04, 1.79], but not less likely to report living with a chronic illness. Conclusions: Nationality and education level should be considered in future studies concerning self-reported health in Luxembourg. Further research is needed to examine disparities in self-reported health among Portuguese and Italian nationals.

Trends in Mortality From Poisonings, Firearms, and All Other Injuries by Intent in the US, 1999-2020.

Importance: Although deaths due to external causes are a leading cause of mortality in the US, trends over time by intent and demographic characteristics remain poorly understood. Objective: To examine national trends in mortality rates due to external causes from 1999 to 2020 by intent (homicide, suicide, unintentional, and undetermined) and demographic characteristics. External causes were defined as poisonings (eg, drug overdose), firearms, and all other injuries, including motor vehicle injuries and falls. Given the repercussions of the COVID-19 pandemic, US death rates for 2019 and 2020 were also compared. Design, Setting, and Participants: Serial cross-sectional study using national death certificate data obtained from the National Center for Health Statistics and including all external causes of 3 813 894 deaths among individuals aged 20 years or older from January 1, 1999, to December 31, 2020. Data analysis was conducted from January 20, 2022, to February 5, 2023. Exposures: Age, sex, and race and ethnicity. Main Outcomes and Measures: Trends in age-standardized mortality rates and average annual percentage change (AAPC) in rates calculated by intent (suicide, homicide, unintentional, and undetermined), age, sex, and race and ethnicity for each external cause. Results: Between 1999 and 2020, there were 3 813 894 deaths due to external causes in the US. From 1999 to 2020, poisoning death rates increased annually (AAPC, 7.0%; 95% CI, 5.4%-8.7%). From 2014 to 2020, poisoning death rates increased the most among men (APC, 10.8%; 95% CI, 7.7%-14.0%). During the study period, poisoning death rates increased in all the racial and ethnic groups examined; the most rapid increase was among American Indian and Alaska Native individuals (AAPC, 9.2%; 95% CI, 7.4%-10.9%). During the study period, death rates for unintentional poisoning had the most rapid rate of increase (AAPC, 8.1%; 95% CI, 7.4%-8.9%). From 1999 to 2020, firearm death rates increased (AAPC, 1.1%; 95% CI, 0.7%-1.5%). From 2013 to 2020, firearm mortality increased by an average of 4.7% annually (95% CI, 2.9%-6.5%) among individuals aged 20 to 39 years. From 2014 to 2020, mortality from firearm homicides increased by an average of 6.9% annually (95% CI, 3.5%-10.4%). From 2019 to 2020, mortality rates from external causes accelerated further, largely from increases in unintentional poisoning, and homicide due to firearms and all other injuries. Conclusions and Relevance: Results of this cross-sectional study suggest that from 1999 to 2020, death rates due to poisonings, firearms, and all other injuries increased substantially in the US. The rapid increase in deaths due to unintentional poisonings and firearm homicides is a national emergency that requires urgent public health interventions at the local and national levels.

Financial hardship, sleep disturbances, and their relationship among men and women in the United States during the COVID-19 pandemic.

OBJECTIVE: In the United States (US), the health and financial consequences of COVID-19 have disproportionately impacted women and minoritized racial-ethnic groups. Yet, few US studies have investigated financial hardship during the COVID-19 pandemic and sleep health disparities. Our objective was to investigate associations between financial hardship and sleep disturbances during the COVID-19 pandemic by gender and race and ethnicity in the United States. METHODS: We used the nationally representative COVID-19's Unequal Racial Burden cross-sectional survey data collected among 5339 men and women from 12/2020 to 2/2021. Participants reported financial hardship (eg, debt, employment/work loss) since the pandemic began and completed the Patient-Reported Outcomes Management Information System Short Form 4a for sleep disturbances. Prevalence ratios (PRs) and 95% confidence intervals were estimated using adjusted, weighted Poisson regression with robust variance. RESULTS: Most (71%) participants reported financial hardship. Prevalence of moderate to severe sleep disturbances was 20% overall, higher among women (23%), and highest among American Indian/Alaska Native (29%) and multiracial adults (28%). Associations between financial hardship and moderate to severe sleep disturbances (PR = 1.52 [95% confidence interval: 1.18, 1.94]) did not differ by gender but varied by race and ethnicity: associations were strongest among Black/African American (PR = 3.52 [1.99,6.23]) adults. CONCLUSIONS: Both financial hardship and sleep disturbances were prevalent, and their relationships were strongest among certain minoritized racial-ethnic groups, particularly Black/African American adults. Interventions that alleviate financial insecurity may reduce sleep health disparities.

Profiling the Somatic Mutational Landscape of Breast Tumors from Hispanic/Latina Women Reveals Conserved and Unique Characteristics.

Somatic mutational profiling is increasingly being used to identify potential targets for breast cancer. However, limited tumor-sequencing data from Hispanic/Latinas (H/L) are available to guide treatment. To address this gap, we performed whole-exome sequencing (WES) and RNA sequencing on 146 tumors and WES of matched germline DNA from 140 H/L women in California. Tumor intrinsic subtype, somatic mutations, copy-number alterations, and expression profiles of the tumors were characterized and compared with data from tumors of non-Hispanic White (White) women in The Cancer Genome Atlas (TCGA). Eight genes were significantly mutated in the H/L tumors including PIK3CA, TP53, GATA3, MAP3K1, CDH1, CBFB, PTEN, and RUNX1; the prevalence of mutations in these genes was similar to that observed in White women in TCGA. Four previously reported Catalogue of Somatic Mutations in Cancer (COSMIC) mutation signatures (1, 2, 3, 13) were found in the H/L dataset, along with signature 16 that has not been previously reported in other breast cancer datasets. Recurrent amplifications were observed in breast cancer drivers including MYC, FGFR1, CCND1, and ERBB2, as well as a recurrent amplification in 17q11.2 associated with high KIAA0100 gene expression that has been implicated in breast cancer aggressiveness. In conclusion, this study identified a higher prevalence of COSMIC signature 16 and a recurrent copy-number amplification affecting expression of KIAA0100 in breast tumors from H/L compared with White women. These results highlight the necessity of studying underrepresented populations. SIGNIFICANCE: Comprehensive characterization of genomic and transcriptomic alterations in breast tumors from Hispanic/Latina patients reveals distinct genetic alterations and signatures, demonstrating the importance of inclusive studies to ensure equitable care for patients. See related commentary by Schmit et al., p. 2443.

Acculturation level and change in cigarette consumption behaviors among diverse Hispanics/Latinos: the Hispanic Community Health Study/Study of Latinos.

PURPOSE: To study associations between language acculturation level and changes in cigarette consumption among the diverse and growing U.S.-based Hispanic/Latino population and inform culturally tailored smoking prevention and cessation strategies. METHODS: In the Hispanic Community Health Survey/Study of Latinos cohort, we used cigarette consumption behaviors at baseline (2008-2011) and follow-up (2014-2017) and a modified Short Acculturation Scale for Hispanics (SASH) language subscale to measure associations of language acculturation (unidimensional) with changes in cigarette consumption and quitting rates. Weighted multivariable linear and logistic regressions were stratified by daily (n = 1397) and nondaily (n = 633) smoking, and either sex, educational attainment, or migration status. RESULTS: Smokers at baseline (n = 2030) on average were aged 42 years old (SE = 0.5) with a mean SASH-language score of 2.3 (SE = 0.1; range = 1-5), indicating more Spanish language use. Among male daily smokers, we observed increases in smoked cigarettes-per-day (CPD) with unit increases in SASH-language score (1.08, 95% CI: 0.24-1.92). Associations with acculturation trended toward greater increases in CPD and lower odds of quitting as educational attainment increased. CONCLUSIONS: Language acculturation level is an important determinant for increased smoking behaviors, particularly among men. Our findings are significant in informing smoking reduction programs for the Hispanic/Latino population.

The Economic Burden of Racial, Ethnic, and Educational Health Inequities in the US.

Importance: Health inequities exist for racial and ethnic minorities and persons with lower educational attainment due to differential exposure to economic, social, structural, and environmental health risks and limited access to health care. Objective: To estimate the economic burden of health inequities for racial and ethnic minority populations (American Indian and Alaska Native, Asian, Black, Latino, and Native Hawaiian and Other Pacific Islander) and adults 25 years and older with less than a 4-year college degree in the US. Outcomes include the sum of excess medical care expenditures, lost labor market productivity, and the value of excess premature death (younger than 78 years) by race and ethnicity and the highest level of educational attainment compared with health equity goals. Evidence Review: Analysis of 2016-2019 data from the Medical Expenditure Panel Survey (MEPS) and state-level Behavioral Risk Factor Surveillance System (BRFSS) and 2016-2018 mortality data from the National Vital Statistics System and 2018 IPUMS American Community Survey. There were 87 855 survey respondents to MEPS, 1 792 023 survey respondents to the BRFSS, and 8 416 203 death records from the National Vital Statistics System. Findings: In 2018, the estimated economic burden of racial and ethnic health inequities was $421 billion (using MEPS) or $451 billion (using BRFSS data) and the estimated burden of education-related health inequities was $940 billion (using MEPS) or $978 billion (using BRFSS). Most of the economic burden was attributable to the poor health of the Black population; however, the burden attributable to American Indian or Alaska Native and Native Hawaiian or Other Pacific Islander populations was disproportionately greater than their share of the population. Most of the education-related economic burden was incurred by adults with a high school diploma or General Educational Development equivalency credential. However, adults with less than a high school diploma accounted for a disproportionate share of the burden. Although they make up only 9% of the population, they bore 26% of the costs. Conclusions and Relevance: The economic burden of racial and ethnic and educational health inequities is unacceptably high. Federal, state, and local policy makers should continue to invest resources to develop research, policies, and practices to eliminate health inequities in the US.

Cancer mortality rates by racial and ethnic groups in the United States, 2018-2020.

BACKGROUND: Starting in 2018, national death certificates included a new racial classification system that accounts for multiple-race decedents and separates Native Hawaiian and Pacific Islander (NHPI) individuals from Asian individuals. We estimated cancer death rates across updated racial and ethnic categories, sex, and age. METHODS: Age-standardized US cancer mortality rates and rate ratios from 2018 to 2020 among individuals aged 20 years and older were estimated with national death certificate data by race and ethnicity, sex, age, and cancer site. RESULTS: In 2018, there were approximately 597 000 cancer deaths, 598 000 in 2019, and 601 000 in 2020. Among men, cancer death rates were highest in Black men (298.2 per 100 000; n = 105 632), followed by White (250.8; n = 736 319), American Indian/Alaska Native (AI/AN; 249.2; n = 3376), NHPI (205.6; n = 1080), Latino (177.2; n = 66 167), and Asian (147.9; n = 26 591) men. Among women, Black women had the highest cancer death rates (206.5 per 100 000; n = 104 437), followed by NHPI (192.1; n = 1141), AI/AN (189.9; n = 3239), White (183.0; n = 646 865), Latina (128.4; n = 61 579), and Asian (111.4; n = 26 396) women. The highest death rates by age group occurred among NHPI individuals aged 20-49 years and Black individuals aged 50-69 and 70 years and older. Asian individuals had the lowest cancer death rates across age groups. Compared with Asian individuals, total cancer death rates were 39% higher in NHPI men and 73% higher in NHPI women. CONCLUSIONS: There were striking racial and ethnic disparities in cancer death rates during 2018-2020. Separating NHPI and Asian individuals revealed large differences in cancer mortality between 2 groups that were previously combined in vital statistics data.

Prevention Science for Reducing Health Disparities.

This article is a commentary on the publication titled, Strategic Directions in Prevention Intervention Research to Advance Health Equity, by R. C. Boyd et al.