The Intersection of Social Determinants of Health and Post-stroke Aphasia Outcomes: A Need for Intersectional Analysis.

Aphasia is a disorder that results from damage to portions of the brain that are responsible for language and can vary significantly by type and severity. Differences in aphasia outcomes are influenced by the social determinants of health (SDOH). The SDOH are structural, environmental, and personal determinants that influence health outcomes. Intersectionality, or how one's social and political identities interact to influence individual life outcomes and/or advantage in our society, provides a way to examine the varying levels of the SDOH. However, intersectionality is complex, difficult to measure, and has not yet been explored in post-stroke aphasia outcomes. This article reviews the relationship of race and aphasia outcomes and the SDOH and aphasia outcomes. Additionally, we provide a novel current approach to examine the SDOH and aphasia outcomes. Lastly, we discuss the need for evaluation of intersectionality in aphasia and aim to provide a leveled social-ecological framework to examine aphasia-related outcomes. With notable individual differences among aphasia outcomes, we present a framework to support optimizing research and clinical aphasia care in speech-language pathology.

Healthcare cost and race: analysis of young women with stroke.

BACKGROUND: Over the last decade, the prevalence of young stroke has increased 40% particularly among vulnerable populations. These strokes are often more severe with worse outcomes. However, few studies have examined the impact on annual healthcare costs. METHODS: Data from the 2008 to 2018 Medical Expenditure Panel Survey (MEPS) was used to identify a sample of female stroke survivors aged 18 and 60. MEPS includes demographics, health status, healthcare use, and expenditures for all participants providing the largest nationally representative data source of healthcare costs in the US. First, differences in racial and ethnic healthcare expenditure among young women with stroke were evaluated controlling for insurance type and demographic characteristics. Second, the relationship between healthcare expenditure and 1) time post stroke, 2) comorbidities, 3) healthcare utilization, and 4) post-stroke functional status was assessed. Finally, differential healthcare quality was tested as a potential mitigating differential. RESULTS: Young Black women with stroke spend roughly 20% more on healthcare than White women after controlling for insurance, time post-stroke, healthcare utilization, and demographic differences. Costs remain 17% higher after controlling for comorbidities. Differences in expenditure are larger if survivors have diabetes, high blood pressure, or high cholesterol (78%, 24%, and 28%, respectively). Higher expenditure could not be explained by higher healthcare utilization, but lower quality of healthcare may explain part of the differential. CONCLUSION: Young Black women with stroke have 20% greater healthcare expenditure than other groups. Cost differentials cannot be explained by differentials in comorbidities, utilization, time post stroke, or functionality. Additional research is needed to explain these differences.

Understanding the Economics of Aphasia: Recent Findings from Speech and Language Research.

In recent years, stakeholders engaged in the study, treatment, and understanding of aphasia outcomes have emphasized the need for greater transparency regarding the economics of aphasia rehabilitation. Most notably, third-party payers and clinicians have a keen interest in understanding the resources used to treat aphasia, particularly the cost-effectiveness and value of aphasia treatments. In this article, we review the current literature related to the economic burden of aphasia and the cost and cost-effectiveness of aphasia treatments. To date, relatively few scholars have attempted to study the efficiency, scale, and scope related to the economics of aphasia and the cost-effectiveness of aphasia treatment. While studies of the cost-effectiveness of aphasia treatments have shown rehabilitative treatments conform to established quality and cost benchmarks, the continued progress and developments in the treatment of aphasia and measurement of clinical outcomes has left many areas unstudied. We highlight the need for greater emphasis on the cost-effectiveness of aphasia treatments in addition to the traditional focus on the efficacy of treatment outcomes.

Speech Therapy and Earnings: Economic Benefits for Individuals Who Stutter.

Stuttering is a complex communication disorder with effects that extend beyond difficulty with communication. Negative thoughts and feelings by the person who stutters (PWS), about the disorder or themselves, may potentially lead to detrimental avoidance behaviors which may ultimately alter life choices and participation in life events. One such area is the labor market. Studies have revealed an association between stuttering and reduced earnings. What is not understood is whether provision of speech therapy for PWS can help mitigate the negative labor market impacts of this condition. This article discusses the disorder of stuttering and how approach versus avoidance responses can contribute to wage differentials among PWS, while also providing evidence of such differences using a nationally representative dataset. Additionally, this article outlines the potential benefits received from speech-language pathology services which may correlate with improved labor market outcomes.

Sharing the 'weight' of obesity management in primary care: integration of registered dietitian nutritionists to provide intensive behavioural therapy for obesity for Medicare patients.

BACKGROUND: Clinical provision of intensive behavioral therapy for obesity (IBTO) has been a reimbursable treatment for obesity since 2012. However, gaps remain in the literature regarding its impact on patient outcomes. OBJECTIVES: The primary objective of this study was to examine the integration of registered dietitian nutritionist provided IBTO into a primary care setting and evaluate clinic outcomes for Medicare Part B beneficiaries. A secondary objective was to examine intensity of IBTO (quantity of IBTO visits) versus clinical outcomes and influence of socioeconomic factors. METHODS: A case-control retrospective chart review was conducted at a rural, Academic Family Medicine Clinic in Eastern North Carolina for patients seen between 1 January 2016 and 1 January 2019. In order to be included in the treatment group, patients had to be female, white or black race, have Medicare insurance and a body mass index ≥ 30 kg/m2. RESULTS: Mixed model analysis showed statistically significant improvements in clinical outcomes from IBTO treatment. Weight decreased by nearly 3 pounds, while body mass index was half a point lower. A1C was 0.1 units lower for IBTO patients, and they took prescription medication and average of 6 days less than the control group. Minorities and older respondents experienced smaller, all else constant, and annual fixed effects suggest that differentials widen over time. CONCLUSIONS: Registered dietitian nutritionist (RDN) provision of IBTO has demonstrated benefit in improving clinical outcomes including weight, A1C, and reduced medication duration (use) as demonstrated by the IBTO treatment group versus control. IBTO intensity was not predictive of success, and its impact was reduced with older and African American patients. IBTO is beneficial and can be delivered within the primary care setting by a RDN.

Heterogeneity among women with stroke: health, demographic and healthcare utilization differentials.

BACKGROUND: Although age specific stroke rates are higher in men, women have a higher lifetime risk and are more likely to die from a stroke. Despite this increased severity, most studies focus on male/female differences in stroke onset, patterns of care and stroke-related outcomes. Given that stroke presents differently in men and women, mixed sex studies fail to fully capture heterogeneity among women with stroke and the subsequent impact on their outcomes. This study examined the sociodemographic characteristics, factors related to stroke incidence and post-stroke functional status between young (< 60) and old (≥ 60) women with stroke. METHODS: Using 5 years of data from the National Health Interview Survey (NHIS), a nationally representative sample of US adults, cohorts of young and old women with stroke were identified. A set of demographic/lifestyle, health services utilization and health status characteristics were used evaluate within gender heterogeneity in three ways. First, disparities in population characteristics were assessed using Chi-Square and t tests. Second, young and old women with stroke were matched with women without stroke in their respective cohorts to determine differences in factors related to stroke incidence. Finally, the determinants of post-stroke functional limitation for the two cohorts were determined. RESULTS: Young women with stroke were more likely to be Black, smoke regularly and frequently consume alcohol than older women. Young women were also less likely to engage with their health provider regularly or receive preventative health screenings. Diabetes, high blood pressure, high cholesterol and high BMI were correlated with an increased relative likelihood of stroke among older women. In contrast, family size, smoking frequency, alcohol consumption and sleep were correlated with an increased prevalence of stroke among young women. Although factors correlated with stroke varied between young and old women, health status and receipt of healthcare were the most significant determinants of post-stroke functional status for both cohorts. CONCLUSIONS: Health related characteristics were the primary correlates of stroke in older women, whereas post-stroke lifestyle and behaviors are the most significant correlates for younger stroke survivors. These findings suggest that while receipt of health services is essential for preventing stroke in both young and old women, providers should stress the importance of post-stoke lifestyle and behaviors to younger women at risk of stroke using approaches that may be different from older stroke women.

Cancer rates not explained by smoking: a county-level analysis.

BACKGROUND: Debates over the importance of "lifestyle" versus "environment" contributions to cancer have been going on for over 40 years. While it is clear that cigarette smoking is the most significant cancer risk factor, the contributions of occupational and environmental carcinogens in air, water and food remain controversial. In practice, most cancer prevention messaging focuses on reducing cigarette smoking and changing other personal behaviors with little mention of environmental chemicals, despite widespread exposure to many known carcinogens. To inform decision-making on cancer prevention priorities, we evaluated the potential impact of smoking cessation on cancer rates. METHODS: Using cancer incidence data from 612 counties in the SEER database, and county-level smoking prevalences, we investigated the impact of smoking cessation on incidence for 12 smoking-related cancer types, 2006-2016. A multilevel mixed-effects regression model quantified the association between county-level smoking prevalence and cancer incidence, adjusting for age, gender and variability over time and among counties. We simulated complete smoking cessation and estimated the effects on county-level cancer rates. RESULTS: Regression models showed the expected strong association between smoking prevalence and cancer incidence. Simulating complete smoking cessation, the incidence of the 12 smoking-related cancer types fell by 39.8% (54.9% for airways cancers; 28.9% for non-airways cancers). And, while the actual rates of smoking-related cancers from 2006 to 2016 declined (annual percent change (APC) = - 0.8, 95% CI = - 1.0 to - 0.5%), under the scenario of smoking elimination, the trend in cancer incidence at these sites was not declining (APC = - 0.1, 95% CI = - 0.4 to + 0.1%). Not all counties were predicted to benefit equally from smoking elimination, and cancer rates would fall less than 10% in some counties. CONCLUSIONS: Smoking prevention has produced dramatic reductions in cancer in the US for 12 major types. However, we estimate that eliminating smoking completely would not affect about 60% of cancer cases of the 12 smoking-related types, leaving no improvement in the incidence trend from 2006 to 2016. We conclude that cancer prevention strategies should focus not only on lifestyle changes but also the likely contributions of the full range of risk factors, including environmental/occupational carcinogens.

Quantifying Experiences with Telepractice for Aphasia Therapy: A Text Mining Analysis of Client Response Data.

Measures of satisfaction following treatment for aphasia have been limited. The challenge associated with reduced verbal output among many persons with aphasia (PWA) has reportedly been a key reason measures of treatment satisfaction have been limited. A novel approach to measure treatment satisfaction is the use of content analysis (CA), which uses the presence of certain words, themes, or concepts to explore outcomes such as treatment satisfaction particularly among individuals who generate limited output. CA utilizes responses and response patterns to assign meaning to client responses. The aim of this study was to use CA to measure posttreatment satisfaction with a telepractice approach for aphasia treatment. Seventeen PWA received 12 treatment sessions over a 6-week period. At the conclusion of the treatment, CA was utilized to explore patient satisfaction with this treatment approach. The participants reported an overall positive sentiment for the telepractice approach. Two primary topics emerged which were healthcare provider and healthcare delivery, where text analysis revealed discussion of these topics to be centered around being "helpful" and "being effective." This study demonstrated that CA can be an effective approach for determining satisfaction with aphasia treatment particularly among PWA with limited verbal abilities.

Reducing the use of carcinogens: the Massachusetts experience.

Toxics use reduction (TUR) is one part of a comprehensive cancer prevention strategy. TUR emphasizes reducing the use of cancer-causing chemicals by improving manufacturing processes and identifying and adopting safer alternatives. This analysis draws on 20 years of data collected from industries reporting to the Massachusetts Toxics Use Reduction Act (TURA) program to assess trends in the use and release of chemicals associated with cancer. We used a master list of known and suspected carcinogens developed from authoritative sources and a list of carcinogens grouped by their association with 11 cancer sites to analyze trends in use and release of chemicals by industrial facilities reporting to the TURA program from 1990 to 2010. The trend analysis shows that reported use and releases of carcinogens by these Massachusetts companies have decreased dramatically over time. Reported use declined 32% from 1990 to 2010, and reported releases declined 93% from 1991 to 2010 (1991 is when additional industrial sectors, including electric utilities, were phased into the program). Particularly large reductions were achieved in the use of trichloroethylene, perchloroethylene and cadmium and cadmium compounds. The analysis of groups of chemicals associated with specific cancer sites shows similar trends. Important opportunities for further reductions in many carcinogens, including formaldehyde, hexavalent chromium, and a variety of halogenated compounds are identified. Continued work to minimize the use of carcinogens can help to reduce the burden of cancer in Massachusetts and elsewhere.

Diabetes and Financial Well-Being: Differential Hardship Among Vulnerable Populations.

PURPOSE: The purpose of the study was to examine financial well-being among a diverse population of individuals with and without diabetes. METHODS: Data from the Understanding America Survey, a nationally representative, longitudinal panel, were utilized to identify adults with self-reported diabetes diagnoses between 2014 and 2020. We used longitudinal mixed effects regression models to assess the association between diabetes and financial well-being score (FWBS) among racial and ethnic population subgroups. Models included sex, age, marital status, household size, income, education, race/ethnicity, insurance, body mass index, employment, and health insurance, incorporating individual- and household-level fixed effects. Racial and ethnic differentials were captured using group-condition interactions. RESULTS: Black participants (17.06%) had the highest prevalence of diabetes, followed by White participants (12.2%), "other" racial groups (10.7%), and Hispanic participants (10.0%). In contrast, White participants (M = 67.66, SD = 22.63) and other racial groups (M = 67.99, SD = 18.45) had the highest FWBSs, followed by Hispanic participants (M = 59.31, SD = 22.78) and Black participants (M = 55.86, SD = 25.67). Compared to White participants, Black participants (ß = -5.49, SE = 0.71) and Hispanic participants (ß = -2.06, SE = 0.63) have significantly lower FWBSs. Compared to males, females (ß = -3.25, SE = 0.41) had lower FWBSs among individuals with diabetes. FWBSs of individuals with diabetes was 2.71 points lower (SE = 0.52), on average, than those without diabetes. Education, household size, age, marital status, and income were also significantly associated with FWBSs. CONCLUSIONS: Findings suggest potential disparities in the financial ramifications of diabetes among socially marginalized populations.

Exploring the association between social determinants and aphasia impairment: A retrospective data integration approach.

INTRODUCTION: Traditionally, the study of aphasia focused on brain trauma, clinical biomarkers, and cognitive processes, rarely considering the social determinants of health. This study evaluates the relationship between aphasia impairment and demographic, socioeconomic, and contextual determinants among people with aphasia (PWA). METHODS: PWA indexed within AphasiaBank-a database populated by multiple clinical aphasiology centers with standardized protocols characterizing language, neuropsychological functioning, and demographic information-were matched with respondents in the Medical Expenditure Panel Survey based on response year, age, sex, race, ethnicity, time post stroke, and mental health status. Generalized log-linear regression models with bootstrapped standard errors evaluated the association between scores on the Western Aphasia Battery-Revised Aphasia Quotient (WAB-R AQ) and demographic, economic, and contextual characteristics accounting for clustering of respondents and the stratification of data collection. Region, age, and income specific models tested the sensitivity of results. RESULTS: PWA over age 60 had 2.4% (SE = 0.020) lower WAB-R AQ scores compared with younger PWA. Compared to White PWA, Black and Hispanic PWA had 4.7% (SE = 0.03) and 0.81% (SE = 0.06) lower WAB-R AQ scores, respectively, as did those and living in the Southern US (-2.2%, SE = 0.03) even after controlling for age, family size, and aphasia type. Those living in larger families (ß = 0.005, SE = 0.008), with income over $30,000 (ß = 0.017, SE = 0.022), and a college degree (ß = 0.030, SE = 0.035) had higher WAB-R AQ relative to their counterparts. Region-specific models showed that racial differences were only significant in the South and Midwest, while ethnic differences are only significant in the West. Sex differences only appeared in age-specific models. Racial and ethnic differences were not significant in the high-income group regression. CONCLUSION: These findings support evidence that circumstances in which individuals live, work, and age are significantly associated with their health outcomes including aphasia impairment.

Financial Well-Being Among US Adults with Vascular Conditions: Differential Impacts Among Blacks and Hispanics.

Background: The ability to meet current and ongoing financial obligations, known as financial well-being (FWB), is not only associated with the likelihood of adverse health events but is also affected by unexpected health care expenditures. However, the relationship between FWB and common health outcomes is not well understood. Using data available in the Financial Well-Being Scale from the Consumer Financial Protection Bureau, we evaluated the impact of four vascular conditions-cardiovascular disease (CVD), stroke, high blood pressure (BP), and high cholesterol-on FWB and how these impacts varied between racial and ethnic groups. Methods: Using the Understanding America Survey-a nationally representative, longitudinal panel-we identified adults with self-reported diagnoses between 2014 and 2020 of high cholesterol, high BP, stroke, and CVD. We used stratified, longitudinal mixed regression models to assess the association between these diagnoses and FWB. Each condition was modeled separately and included sex, age, marital status, household size, income, education, race/ethnicity, insurance, body mass index, and an indicator of the condition. Racial and ethnic differentials were captured using group-condition interactions. Results: On average, Whites had the highest FWB Scale score (69.0, SD=21.8), followed by other races (66.7, SD=21.0), Hispanics (59.3, SD=21.6), and Blacks (56.2, SD=21.4). In general, FWB of individuals with vascular conditions was lower than that of those without, but the impact varied between racial and ethnic groups. Compared with Whites (the reference group), Blacks with CVD (-7.4, SD=1.0), stroke (-8.1, SD=1.5), high cholesterol (-5.7, SD=0.7), and high BP (6.1, SD=0.7) had lower FWB. Similarly, Hispanics with high BP (-3.0, SD=0.6) and CVD (-6.3, SD=1.3) had lower FWB. Income, education, insurance, and marital status were also correlated with FWB. Conclusions: These results indicated differences in the financial ramifications of vascular conditions among racial and ethnic groups. Findings suggest the need for interventions targeting FWB of individuals with vascular conditions, particularly those from minority groups.

Silent and suffering: Untreated depression among minority stroke survivors.

A stroke is a life-altering event that occurs without warning. Strokes differ in severity with some being mild and others leaving survivors with permanent disabilities. While the physical and mental consequences of stroke can require extensive treatment and rehabilitation, the emotional ramifications are often ignored. In addition to outlining the prevalence and severity of depression among stroke survivors, this study examines the likelihood of mental health service utilization and barriers to care. Using data from the 2018 National Health Interview Survey, regression analysis evaluated the association between depression, depression frequency, and race/ethnicity controlling for income, insurance, and demographic characteristics among adult stroke survivors. Analyses also tested the likelihood of mental health services utilization and potential barriers to care among survivors who reported depression. Results indicated that Blacks and Hispanics stroke survivors were more likely to experience depression and experience depression more frequently than Whites. Minority groups were also less likely to utilize mental health services but did not cite lack of insurance or affordability as the reason for low utilization. This study found a higher prevalence and frequency of depression among Blacks and Hispanics and lower likelihood of receiving mental health services. Findings suggest lower mental health service utilization among depressed minority stroke survivors may be related to unobservable factors such as social stigma, lack of available care, inability to clearly identify depressive symptoms, and potentially greater resilience to overcome the negative impact of the condition. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Intersectional sociodemographic and neurological relationships in the naming ability of persons with post-stroke aphasia.

INTRODUCTION: Significant attention has been given to the role of brain function and disruption in determining performance on naming tasks among individuals with aphasia. However, scholarly pursuit of a neurological explanation has overlooked the fundamental cornerstone of individual health-the underlying social, economic, and environmental factors that shape how they live, work, and age, also known as the social determinants of health (SDOH). This study examines the correlation between naming performance and these underlying factors. METHODS: Individual level data from the 2010 Moss Aphasia Psycholinguistic Project Database (MAPPD) was matched with the 2009-2011 Medical Expenditure Panel Survey (MEPS) using a propensity score algorithm based on functional, health, and demographic characteristics. Multilevel, generalized, nonlinear regression models were applied to the resulting data set to assess the correlation between the Boston Naming Test (BNT) percentile score and age, income, sex, race, household size, marital status, aphasia type, and region of residence. Poisson regression models with bootstrapped standard errors were used to estimate these relationships RESULTS: Discrete dependent variable estimation with non-normal prior specification included individual level (age, marital status, years of education), socioeconomic (family income), health (aphasia type), household (family size), and environmental (region of residence) characteristics. Regression results indicated that, relative to individuals with Wernicke's, individuals with Anomic (0.74, SE = 0.0008) and Conduction (0.42, SE = 0.0009) aphasia performed better on the BNT. While age at the time of testing was not significantly correlated, higher income level (0.15, SE = 0.0003) and larger family size (0.002, SE = 0.002) was associated with higher BNT score percentiles. Finally, Black persons with aphasia (PWA) (-0.0124, SE = 0.0007) had lower average score percentiles when other factors were held constant. CONCLUSIONS: The findings reported here suggest higher income and larger family size are associated with better outcomes. As expected, aphasia type was significantly associated with naming outcomes. However, poorer performance by Black PWA and individuals with low income suggests that SDOH can play a critical role (positive and negative) in naming impairment in some populations with aphasia.

Disparities in Perceived Physical and Mental Wellness: Relationships Between Social Vulnerability, Cardiovascular Risk Factor Prevalence, and Health Behaviors Among Elderly US Residents.

INTRODUCTION: Cardiovascular disease (CVD) is the leading cause of death for males, females, and people of most racial and ethnic groups in the United States. In addition to known epidemiological and behavioral risk factors, recent evidence suggests that circumstantial or behavioral factors may also be associated with CVD. This study evaluates the contribution of cardiovascular disease (CVD) risk factors, community vulnerabilities, and individual health behaviors to individual physical and mental wellness among Black and White, male, and female Medicare beneficiaries. METHODS: This study utilized data from the Behavioral Risk Factor Surveillance System, county-level CVD risk factor prevalence, and selected items from the Social Vulnerability Index. RESULTS: Correlations were found between unhealthy days reported by males and area social vulnerabilities and health behaviors. Prevalence of disease was correlated with mentally unhealthy days for White males. Among White females, health behaviors, disease prevalence, and social vulnerability measures were associated with unhealthy days. Among Black females, disease prevalence was highly correlated with mentally unhealthy days. DISCUSSION: While individual-level health behaviors are highly associated with perceived physical and mental health, the self-reported health of Black respondents is also heavily correlated with local area vulnerabilities, including community poverty, group housing, and crowding.

Stroke in women between 2006 and 2018: Demographic, socioeconomic, and age disparities.

BACKGROUND: Black Americans have a higher prevalence of stroke and stroke-related deaths than any other racial group. Racial disparities in stroke outcomes are even wider among women than men. Conventional studies have cited differences in lifestyle (i.e. smoking, alcohol consumption, etc.) and vascular risk factors between races as the source of these disparities. However, these studies fail to account for the higher prevalence of minoritized populations at the lower end of the socioeconomic distribution. OBJECTIVES: This study explores differences in stroke risk factors across age and socioeconomic cohorts to determine whether comorbidities can sufficiently explain disparities at all ages and income levels. DESIGN: Using the 2006-2018 National Health Interview Survey data, statistical analysis evaluated differences in risk factors among a full sample cohort (aged 18-85 years; n = 131,091) and a "young" subsample cohort (aged 18-59 years; n = 6183) of women. METHODS: Logistics and unconditional quantile regression models assessed the relationship between stroke and comorbid, demographic, and behavioral characteristics across socioeconomic classes. RESULTS: Results suggest that Black women had a 1.415-fold (confidence interval = 1.259, 1.591) higher likelihood of stroke compared with White women after controlling for age, behavior, and comorbidities. Racial disparities were not statistically significant at the higher income ranges for either the full (odds ratio = 1.404, p = 0.3114) or young samples (odds ratio = 1.576, p = 0.7718). However, Blacks had significantly higher odds of stroke in the lower quartiles (lower odds ratio: 1.329, p = 0.0242; lower middle odds ratio: 1.233, p = 0.0486; and upper middle odds ratio: 1.994, p = 0.0005). Disparities were larger among young women (odds ratio = 1.449, confidence interval = 1.211, 1.734). CONCLUSION: While comorbidities were highly associated with stroke prevalence in all socioeconomic cohorts, Blacks only had higher relative odds in the lower income classes. Lack of biological or behavioral explanations for these findings suggests that unobserved or uncontrolled factors such as systemic racism, prejudicial institutions, or differential treatment may contribute to this.

Racial-Ethnic Disparities in Hearing Aid Use: Price Responsiveness Among Older Adults with Hearing Loss.

OBJECTIVE: To explore the role of racial-ethnic background, income, residential context, and historic variation in hearing aid (HA) price HA usage among a nationally representative cohort of older adults with hearing loss. METHODS: Multilevel logistic regression models evaluated data from the 2012 through 2017 Medical Expenditure Panel Survey (MEPS) to 1) compare historic HA use between subgroups, 2) test for differential responsiveness to price changes between racial and ethnic groups, and 3) assess the relative role of demographic characteristics and HA use. RESULTS: Between 2012 and 2017, the price of economy HAs decreased by 5% while HA use among Non-Hispanic (NH) Whites and Hispanics with hearing loss increased by 30% and 20% respectively, but usage among NH-Blacks increased by less than 10%. After controlling for relevant covariates, NH-Blacks were two times less likely than NH-Whites to use a HA. Household income and price were only significant for NH-Whites who showed that a 1% increase in income was associated with a 10% increase in the likelihood of HA use. Calculation of subgroup participation showed that, when the price of HAs dropped by 1%, the likelihood of HA use by NH-Whites increased by 14.2%, Hispanics increased by 13.2%, and Others increased by 14.8%, but only 2.8% among NH-Blacks. CONCLUSION: Results suggest that cost is not the primary barrier to HA utilization among minoritized individuals from racial and ethnic groups. Additional analyses are needed to evaluate the role of social, cultural, and environmental influences on HA utilization.

Racial, ethnic, and sex disparities in the incidence and cognitive symptomology of long COVID-19.

BACKGROUND: The pandemic has highlighted and exacerbated health inequities in both acute coronavirus disease 2019 (COVID-19) and its longer-term sequelae. Given the heterogeneity in definitions of long COVID and the lack of centralized registries of patients with the disease, little is known about the differential prevalence among racial, ethnic, and sex subgroups. This study examines long COVID among Black, White, Asian, and Hispanic Americans and evaluates differences in the associated cognitive symptomology. METHOD: Data from four releases of the Census Bureau's Household Pulse Survey detailing COVID-19 incidence and the duration and type of symptoms among a nationally representative sample of adults from June 1, 2022, through October 17, 2022, were combined. Binary logistic regression assessed the relative likelihood of long COVID among those who had been diagnosed COVID between racial, ethnic, and sex subgroups. Among those reporting long COVID, differences in the prevalence of difficulty understanding and difficulty remembering were assessed. Empirical models accounted for household, regional, vaccination, and insurance differences between respondents. Two-stage selection models were applied to test the robustness of the results. RESULTS: Among respondents who tested positive for COVID-19, Blacks (OR=1.097, CI=1.034-1.163), females (OR=1.849, CI=1.794-1.907), and Hispanics (OR=1.349, CI=1.286-1.414) were more likely to experience long COVID (symptoms lasting for 3 months or longer) compared to Whites, males, and non-Hispanics respectively. However, those with private health insurance (OR=0.634, CI=0.611-0.658) and who received the COVID vaccine (OR=0.901, CI=0.864-0.94) were less likely to have endured COVID symptoms than their counterparts. Symptoms of long COVID varied significantly between population subgroups. Compared to Whites, Blacks were more likely to have trouble remembering (OR=1.878, CI=1.765-1.808) while Hispanics were more likely to report difficult understanding (OR=1.827, CI=1.413, 2.362). Females, compared to males, were less likely to experience trouble understanding (OR=0.664, CI=0.537, 0.821), but more likely to report trouble remembering (OR=1.34, CI=1.237, 1.451). CONCLUSIONS: Long COVID is more prevalent among Blacks, Hispanics, and females, but each group appears to experience long COVID differently. Therefore, additional research is needed to determine the best method to treat and manage this poorly understood condition.

Racial Disparities in Pain Among Women with Fibromyalgia: Secondary Data Analysis of Severity, Interference with Function, and Response to Guided Imagery.

Background: Fibromyalgia syndrome (FMS) is characterized by widespread persistent musculoskeletal pain. Mostly prevalent among White women, little is known about FMS in other population cohorts. This study examined secondary data of a racially diverse sample of women with FMS that were collected as part of a randomized controlled clinical trial that examined the effect of a complementary therapy intervention over the course of a 10-week guided imagery intervention to identify demographic, social, or economic differences in self-reported pain. Materials and Methods: The Brief Pain Inventory (BPI), which measures pain severity and interference, was administered to 72 women (21 Black and 51 Whites) at baseline, 6 and 10 weeks. Student's t tests and time series regression models examined racial difference in pain dimensions and treatment response. Regression models accounted for age, race, income, duration of symptoms, treatment group, pain at baseline, smoking, alcohol use, comorbid conditions, and time. Results: Black women experienced significantly higher pain severity (ß = 5.52, standard deviation [SD] = 2.13) and interference (ß = 5.54, SD = 2.74) than Whites (severity ß = 4.56, SD = 2.08; interference ß = 4.72, SD = 2.76) (interference: t = 1.92, p = 0.05; severity: t = 2.95, p = 0.00). Disparities persisted over time. Controlling for differences in age, income, and previous pain levels, Black women had 0.26 (standard error [SE] = 0.065) higher pain severity and 0.36 (SE = 0.078) higher interference than Whites. Low-income earners also experienced 2.02 (SE = 0.38) and 2.19 (SE = 0.46) higher pain severity and interference, respectively, than other earners. Results were robust to inclusion of comorbidities. Conclusions: Black women and low-income earners experienced significantly higher levels of pain severity and interference and a lower dose response to the intervention. Differentials were robust to inclusion of demographic, health, and behavioral characteristics. Findings suggest that external factors may contribute to pain perception among women with FMS.