Ethnicity and suicide in England and Wales: a national linked cohort study.

BACKGROUND: Understanding of ethnic disparities in suicide in England and Wales is poor as ethnicity is not recorded on death certificates. Using linked data, we examined variations, by sex, in suicide rates in England and Wales by ethnicity and migrant and descendant status. METHODS: Using the Office for National Statistics 2012-19 mortality data linked to the 2011 census from the Public Health Research Database, we calculated the age-standardised suicide rates by sex for each of the 18 self-identified ethnicity groups in England and Wales. We present rates by age, sex, and methods used for suicide by ethnic group. We estimated age-adjusted and sex-adjusted incidence rate ratios (IRRs) using Poisson regression models for each minority ethnic group compared with the majority population. We involved people with lived experience in the research. FINDINGS: Overall, 31 644 suicide deaths occurred over the study period, including 3602 (11%) in people from minority ethnic backgrounds, with a mean age of death of 43·3 years (SD 17·0, range 13-96). Almost all minority ethnic groups had a lower rate of suicide than the White British majority, apart from individuals who identified as being from a Mixed heritage background or White Gypsy or Irish Travellers. In females who identified as Mixed White and Caribbean, the suicide IRR was 1·79 (95% CI 1·45-2·21) compared with the White British majority; in those who identified as White Gypsy or Irish Travellers, the IRR was 2·26 (1·42-3·58). Rates in males identifying as from these two groups and those identifying as White Irish were similar to the White British majority. Compared with the non-migrant population, migrants had a lower rate of suicide regardless of ethnicity, but in the descendant population, people from a Mixed ethnicity background had a higher risk of suicide than the White British majority. INTERPRETATION: There are ethnic disparities in suicide mortality in England and Wales, but the reasons for this are unclear. The higher rate in previously overlooked minority ethnic groups warrants further attention. FUNDING: Wellcome Trust.

Synergistic effects of social determinants of health and race-ethnicity on 30-day all-cause readmission disparities: a retrospective cohort study.

OBJECTIVE: The objective of this study is to assess the effects of social determinants of health (SDOH) and race-ethnicity on readmission and to investigate the potential for geospatial clustering of patients with a greater burden of SDOH that could lead to a higher risk of readmission. DESIGN: A retrospective study of inpatients at five hospitals within Henry Ford Health (HFH) in Detroit, Michigan from November 2015 to December 2018 was conducted. SETTING: This study used an adult inpatient registry created based on HFH electronic health record data as the data source. A subset of the data elements in the registry was collected for data analyses that included readmission index, race-ethnicity, six SDOH variables and demographics and clinical-related variables. PARTICIPANTS: The cohort was composed of 248 810 admission patient encounters with 156 353 unique adult patients between the study time period. Encounters were excluded if they did not qualify as an index admission for all payors based on the Centers for Medicare and Medicaid Service definition. MAIN OUTCOME MEASURE: The primary outcome was 30-day all-cause readmission. This binary index was identified based on HFH internal data supplemented by external validated readmission data from the Michigan Health Information Network. RESULTS: Race-ethnicity and all SDOH were significantly associated with readmission. The effect of depression on readmission was dependent on race-ethnicity, with Hispanic patients having the strongest effect in comparison to either African Americans or non-Hispanic whites. Spatial analysis identified ZIP codes in the City of Detroit, Michigan, as over-represented for individuals with multiple SDOH. CONCLUSIONS: There is a complex relationship between SDOH and race-ethnicity that must be taken into consideration when providing healthcare services. Insights from this study, which pinpoint the most vulnerable patients, could be leveraged to further improve existing models to predict risk of 30-day readmission for individuals in future work.

Health literacy and associated factors in China: findings from the Wa ethnic group.

Background: The health literacy of ethnic groups in remote areas of China is far from satisfactory. However, the health literacy of ethnic groups in China remains unclear. This study aimed to explore the health literacy of the "advancing directly" ethnic group and its influencing factors. Methods: A cross-sectional study was conducted using a staged sampling method among the Wa ethnic group, who have rapidly transitioned directly from the traditional lifestyle of slash-and-burn cultivation to modern societies. We used the Health Literacy Questionnaire (HLQ) to assess health literacy. We defined low health literacy as less than 60% of the total score and adequate health literacy as more than 80% of the total score. Results: A total of 668 individuals met the inclusion criteria and the mean age was 42.19 (SD 10.56) years. The mean HLQ total score was 29.9 (SD 10.56). The prevalence of adequate health literacy was 0.89%. There were significant differences between the low and the non-low health literacy groups in terms of gender, age, education, marital status, occupation, residing place, current smoking status, and waist circumference (all p < 0.05). Multiple linear regression analysis showed that women (t = 9·418, p < 0.001), older age (B = -0.0091, t = -2.644, p = 0.008), low educational level (B = 0.766, t = 6.018, p < 0.001), current smoking (B = -2.66, t = -3.038, p = 0.008), and residence far from township (B = -5.761, t = -4.1, p < 0.001) were associated with low HLQ total score. Conclusion: Our findings suggest that the health literacy of the Wa ethnic group is far from favorable. It indicates the need for increased efforts in improving the health literacy of "advancing directly" ethnic groups.

Racial and Ethnic Diversity in Vitiligo Clinical Trials: A Retrospective Cross-Sectional Study Assessing Demographic Reporting of Participants.

BACKGROUND: While the prevalence of vitiligo is similar across racial and ethnic groups, the effects of vitiligo vary by demographic group, culture, and skin color, with darker-skinned individuals facing greater stigma due to increased visibility of the disease.1,2 The recruitment of diverse participants that are representative of the United States (US) population is crucial to ensuring the generalizability of findings and understanding the impacts of vitiligo across diverse patient groups.   Objectives: This study aimed to determine demographic reporting trends in US vitiligo clinical trials and to determine whether participants are representative of the US population. METHODS: A search for US vitiligo clinical trials was conducted on clinicaltrials.gov. Trials conducted between 2006 to September 5, 2023, were included if they intended to treat vitiligo, were conducted in the US, and were completed or terminated.  Results: Of the 15 trials meeting inclusion criteria, only 60% (n=9) reported participant race/ethnicity. These 9 studies included 1,510 participants, of which only 25.43% (n=384) were non-White and 20.40% were Hispanic. There was disproportionately low representation of racial minorities, particularly Black, Native American, and Native Hawaiian groups.   Limitations: Limitations of our study include small sample size, variations in demographic reporting between trials, and undercounting of minority groups by the US Census.  Conclusions: Racial and ethnic minority groups remain underrepresented in US vitiligo clinical trials. Given that the impact of vitiligo can vary by the affected individual’s demographic group and skin color, investigators must be intentional about including a more diverse and representative population in vitiligo clinical trials.  J Drugs Dermatol. 2024;23(7):e164-e166. doi:10.36849/JDD.8117e.

Addition of Social Determinants of Health to Coronary Heart Disease Risk Prediction: The Multi-Ethnic Study of Atherosclerosis.

BACKGROUND: Social determinants of health (SDoH) are associated with cardiovascular risk factors and outcomes; however, they are absent from risk prediction models. We aimed to assess if the addition of SDoH improves the predictive ability of the MESA (Multi-Ethnic Study of Atherosclerosis) Risk Score. METHODS AND RESULTS: This was a community-based prospective population cohort study that enrolled 6286 men and women, ages 45-84 years, who were free of clinical coronary heart disease (CHD) at baseline. Data from 10-year follow-up were examined for CHD events, defined as myocardial infarction, fatal CHD, resuscitated cardiac arrest, and revascularization in cases of anginal symptoms. Participants included 53% women with average age of 62 years. When adjusting for traditional cardiovascular risk factors, SDoH, and coronary artery calcium, economic strain, specifically low family income, was associated with a greater risk of CHD events (hazard ratio [HR], 1.42 [95% CI, 1.17-1.71], P value<0.001). Area under the curve of risk prediction with SDoH was 0.822, compared with 0.816 without SDoH. The calibration slope was 0.860 with SDoH and 0.878 in the original model. CONCLUSIONS: Significant associations were found between economic/financial SDoH and CHD risk factors and outcomes. Incorporation of SDoH into the MESA Risk Score did not improve predictive ability of the model. Our findings do not support the incorporation of SDoH into current risk prediction algorithms.

Consistency, completeness and external validity of ethnicity recording in NHS primary care records: a cohort study in 25 million patients' records at source using OpenSAFELY.

BACKGROUND: Ethnicity is known to be an important correlate of health outcomes, particularly during the COVID-19 pandemic, where some ethnic groups were shown to be at higher risk of infection and adverse outcomes. The recording of patients' ethnic groups in primary care can support research and efforts to achieve equity in service provision and outcomes; however, the coding of ethnicity is known to present complex challenges. We therefore set out to describe ethnicity coding in detail with a view to supporting the use of this data in a wide range of settings, as part of wider efforts to robustly describe and define methods of using administrative data. METHODS: We describe the completeness and consistency of primary care ethnicity recording in the OpenSAFELY-TPP database, containing linked primary care and hospital records in > 25 million patients in England. We also compared the ethnic breakdown in OpenSAFELY-TPP with that of the 2021 UK census. RESULTS: 78.2% of patients registered in OpenSAFELY-TPP on 1 January 2022 had their ethnicity recorded in primary care records, rising to 92.5% when supplemented with hospital data. The completeness of ethnicity recording was higher for women than for men. The rate of primary care ethnicity recording ranged from 77% in the South East of England to 82.2% in the West Midlands. Ethnicity recording rates were higher in patients with chronic or other serious health conditions. For each of the five broad ethnicity groups, primary care recorded ethnicity was within 2.9 percentage points of the population rate as recorded in the 2021 Census for England as a whole. For patients with multiple ethnicity records, 98.7% of the latest recorded ethnicities matched the most frequently coded ethnicity. Patients whose latest recorded ethnicity was categorised as Other were most likely to have a discordant ethnicity recording (32.2%). CONCLUSIONS: Primary care ethnicity data in OpenSAFELY is present for over three quarters of all patients, and combined with data from other sources can achieve a high level of completeness. The overall distribution of ethnicities across all English OpenSAFELY-TPP practices was similar to the 2021 Census, with some regional variation. This report identifies the best available codelist for use in OpenSAFELY and similar electronic health record data.

Ethnicity and outcomes for patients with gastrointestinal disorders attending an emergency department serving a multi-ethnic population.

BACKGROUND: Ethnic inequalities in acute health acute care are not well researched. We examined how attendee ethnicity influenced outcomes of emergency care in unselected patients presenting with a gastrointestinal (GI) disorder. METHODS: A descriptive, retrospective cohort analysis of anonymised patient level data for University Hospitals of Leicester emergency department attendees, from 1 January 2018 to 31 December 2021, receiving a diagnosis of a GI disorder was performed. The primary exposure of interest was self-reported ethnicity, and the two outcomes studied were admission to hospital and whether patients underwent clinical investigations. Confounding variables including sex and age, deprivation index and illness acuity were adjusted for in the analysis. Chi-squared and Kruskal-Wallis tests were used to examine ethnic differences across outcome measures and covariates. Multivariable logistic regression was used to examine associations between ethnicity and outcome measures. RESULTS: Of 34,337 individuals, median age 43 years, identified as attending the ED with a GI disorder, 68.6% were White. Minority ethnic patients were significantly younger than White patients. Multiple emergency department attendance rates were similar for all ethnicities (overall 18.3%). White patients had the highest median number of investigations (6, IQR 3-7), whereas those from mixed ethnic groups had the lowest (2, IQR 0-6). After adjustment for age, sex, year of attendance, index of multiple deprivation and illness acuity, all ethnic minority groups remained significantly less likely to be investigated for their presenting illness compared to White patients (Asian: aOR 0.80, 95% CI 0.74-0.87; Black: 0.67, 95% CI 0.58-0.79; mixed: 0.71, 95% CI 0.59-0.86; other: 0.79, 95% CI 0.67-0.93; p < 0.0001 for all). Similarly, after adjustment, minority ethnic attendees were also significantly less likely to be admitted to hospital (Asian: aOR 0.63, 95% CI 0.60-0.67; Black: 0.60, 95% CI 0.54-0.68; mixed: 0.60, 95% CI 0.51-0.71; other: 0.61, 95% CI 0.54-0.69; p < 0.0001 for all). CONCLUSIONS: Significant differences in usage patterns and disparities in acute care outcomes for patients of different ethnicities with GI disorders were observed in this study. These differences persisted after adjustment both for confounders and for measures of deprivation and illness acuity and indicate that minority ethnic individuals are less likely to be investigated or admitted to hospital than White patients.

The distribution of esophageal cancer patients enrolled in care at the Uganda Cancer Institute by sub-regions, districts and ethnicity.

Background: There is limited published data regarding the distribution of esophageal cancer patients by sub-regions, districts and ethnicity in Uganda. Objectives: To study the distribution by sub-regions, districts, ethnicity and sub-regions post-care outcomes of esophageal cancer patients in care over ten years at the Uganda Cancer Institute. Methods: Patients' charts with confirmed diagnoses of esophageal cancer for 2009-2019 were identified. Case information, which included demographics, clinical presentation, distribution by sub-regions, districts, ethnicity and sub-regions post-care outcomes, were retrospectively abstracted. Results: Central 671(34.15%), Southwestern 308(15.67%), Elgon 176(8.95%) and East central 163(8.29%) sub-regions had most patients. Mostly from administrative districts of Wakiso 167(8.50%), Mbarara 51(2.59%), Tororo 53(2.70%), Busia 33(1.68). Baganda, Banyakole, Bagisu and Basoga ethnic groups predominate. Patients from neighbouring countries were mainly from Rwanda 56(2.85%), South Sudan 24(1.22%), then Kenya 21(1.07%), and Rwandese, Dinka and Luo by ethnicity, respectively. Central and Southwestern sub-regions had the most post-care outcomes of the patients regarding living, death, and loss to follow-up. Conclusion: Patients are commonly from the administrative districts of Central, Southwestern, Elgon and East Central sub-regions and neighbouring countries of Rwanda, South Sudan and Kenya. Baganda, Banyakole, Bagisu and Basoga are the main ethnic groups. Central and Southwestern sub-regions are with most post-care outcomes.

Trends by race and ethnicity in incidence and mortality of acral lentiginous melanoma: analysis of Surveillance, Epidemiology, and End Results 2000-2020.

Limited data describe the epidemiology and risk factors of acral lentiginous melanoma (ALM). In this retrospective analysis, we examined trends in incidence and mortality of ALM among racial and ethnic minoritized populations. We queried 22 Surveillance, Epidemiology, and End Results registries for cases of ALM among Hispanics, non-Hispanic Asians or Pacific Islanders (NHAPIs), non-Hispanic Blacks (NHBs), and non-Hispanic Whites (NHWs) from 2000 through 2020. Age-adjusted incidence and annual percentage changes (APCs) were estimated. Kaplan-Meier curves were stratified by race and ethnicity and compared with log-rank tests. Cox proportional hazard regression models were adjusted for age, sex, race, ethnicity, income, urban-rural residence, stage, and treatment. Of 4188 total cases of ALM with complete data, our study cohort was comprised of 792 (18.9%) Hispanics, 274 (6.5%) NHAPIs, 336 (8.0%) NHBs, and 2786 (66.5%) NHWs. The age-adjusted incidence of ALM increased by 2.48% (P < 0.0001) annually from 2000 to 2020, which was driven by rising rates among Hispanics (APC 2.34%, P = 0.001) and NHWs (APC 2.69%, P < 0.0001). Incidence remained stable among NHBs (APC 1.15%, P = 0.1) and NHAPIs (APC 1.12%, P = 0.4). From 2000 through 2020, 765 (18.3%) patients died from ALM. Compared to NHWs, Hispanics, NHAPIs, and NHBs had significantly increased ALM-specific mortality (all P < 0.0001). Unadjusted and adjusted cause-specific mortality modeling revealed significantly elevated risk of ALM-specific mortality among Hispanics (hazard ratio [HR] 1.46, 95% confidence interval [CI] 1.22-1.75; adjusted hazard ratio [aHR] 1.38, 95% CI 1.14-1.66), NHAPIs (HR 1.80, 95% CI 1.41-2.32; aHR 1.58, 95% CI 1.23-2.04), and NHBs (HR 1.98, 95% CI 1.59-2.47; aHR 2.19, 95% CI 1.74-2.76) (all P < 0.001). Our study finds rising incidence of ALM among Hispanics and NHWs along with elevated risk of ALM-specific mortality among racial and ethnic minoritized populations. Future strategies to mitigate health inequities in ALM are warranted.

Expressions of inequalities in access to health services in Latin America: a scoping review. / Expressões das desigualdades no acesso aos serviços de saúde na América Latina: uma revisão de escopo.

Latin America is one of the most unequal regions in the world. Due to colonization and occupation of the territory, structural inequalities mark people's living and health conditions. In health, we can observe how different dimensions of inequalities condition access and user experience in the service. This scoping review aimed to map and analyze the expressions of inequalities in access to health services in Latin American countries from the scientific production of the last ten years, from which 272 articles were selected. The categorical analysis classified articles into five dimensions, which characterize the expressions of inequalities in access to health services: socioeconomic, geospatial, ethnic/racial, gender, and people with disabilities. The most frequent access barriers were socioeconomic or ability to pay, geographic or transportation difficulty, availability of services, cultural/ethnic, communication, and architecture. The main conditioning factors of health inequalities were income, schooling, transportation, and living conditions. Combating health inequalities requires proposing structuring and sectorial policies.

A América Latina é uma das regiões mais desiguais do mundo. Desigualdades estruturais, fruto dos processos de colonização e ocupação do território, marcam as condições de vida e saúde das pessoas. Na saúde, é possível observar como diferentes dimensões das desigualdades condicionam o acesso e a experiência do usuário no serviço. Objetivou-se mapear e analisar as expressões das desigualdades no acesso aos serviços de saúde nos países da América Latina a partir da produção científica dos últimos dez anos. O desenho de estudo foi a revisão de escopo, por meio da qual foram selecionados 272 artigos. A análise categorial permitiu a classificação dos artigos em cinco dimensões, que caracterizam as expressões das desigualdades no acesso aos serviços de saúde: socioeconômica, geoespacial, étnica/racial, gênero e de pessoas com deficiência. As barreiras de acesso mais frequentes foram: socioeconômica ou capacidade de pagamento; geográfica ou dificuldade de transporte; disponibilidade de serviços; cultural/étnica; comunicação; e arquitetônica. Os principais fatores condicionantes das desigualdades em saúde foram renda, escolaridade, transporte e condições de moradia. O enfrentamento das desigualdades em saúde requer a proposição de políticas estruturantes e setoriais.

Racial and ethnic disparities in gallbladder cancer: A two-decade analysis of incidence and mortality rates in the US.

BACKGROUND: Gallbladder cancer (GBC) is an aggressive malignancy that is usually diagnosed at a late stage. Prior data showed increasing incidence of GBC in the US. However, little is known about race/ethnic-specific incidence and mortality trends of GBC per stage at diagnosis. Therefore, we aimed to conduct a time-trend analysis of GBC incidence and mortality rates categorized by race/ethnicity and stage-at-diagnosis. METHODS: Age-adjusted GBC incidence and mortality rates were calculated using SEER*Stat software from the United States Cancer Statistics database (covers ~98% of US population between 2001 and 2020) and NCHS (covers ~100% of the US population between 2000 and 2020) databases, respectively. Race/Ethnic groups were Non-Hispanic-White (NHW), Non-Hispanic-Black (NHB), Hispanic, Non-Hispanic-Asian/Pacific-Islander (NHAPI), and Non-Hispanic-American-Indian/Alaska-Native (NHAIAN). Stage-at-diagnoses were all stages, early, regional, and distant stages. Joinpoint regression was used to generate time-trends [annual percentage change (APC) and average APC (AAPC)] with parametric estimations and a two-sided t-test (p-value cut-off 0.05). RESULTS: 76,873 patients were diagnosed with GBC with decreasing incidence rates in all races/ethnicities except NHB who experienced an increasing trend between 2001 and 2014 (APC = 2.08, p < 0.01) and plateauing afterward (APC = -1.21, p = 0.31); (AAPC = 1.03, p = 0.03). Among early-stage tumors (9927 patients), incidence rates were decreasing only in Hispanic (AAPC = -4.24, p = 0.006) while stable in other races/ethnicities (NHW: AAPC = -2.61, p = 0.39; NHB: AAPC = -1.73, p = 0.36). For regional-stage tumors (29,690 patients), GBC incidence rates were decreasing only in NHW (AAPC = -1.61, p < 0.001) while stable in other races/ethnicities (NHB: AAPC = 0.73, p = 0.34; Hispanic: AAPC = -1.58, p = 0.24; NHAPI: AAPC = -1.22, p = 0.07). For distant-stage tumors (31,735 patients), incidence rates were increasing in NHB (AAPC = 2.72, p < 0.001), decreasing in Hispanic (AAPC = -0.64, p = 0.04), and stable in NHW (AAPC = 0.07, p = 0.84) and NHAPI (AAPC = 0.79, p = 0.13). There were 43,411 deaths attributed to GBC with decreasing mortality rates in all races/ethnicities except NHB who experienced a stable trend (AAPC = 0.25, p = 0.25). CONCLUSION: Nationwide data over the last two decades show that NHB patients experienced increasing GBC incidence between 2001 and 2014 followed by stabilization of the rates. This increase was driven by late-stage tumors and occurred in the first decade. NHB also experienced non-improving GBC mortality, compared to other race and ethnic groups who had decreasing mortality. This can be due to lack of timely-access to healthcare leading to delayed diagnosis and worse outcomes. Future studies are warranted to investigate contributions to the revealed racial and ethnic disparities, especially in NHB, to improve early detection.

Race and Ethnicity, Socioeconomic Factors, and Epigenetic Age Acceleration in Survivors of Childhood Cancer.

Importance: Current research in epigenetic age acceleration (EAA) is limited to non-Hispanic White individuals. It is imperative to improve inclusivity by considering racial and ethnic minorities in EAA research. Objective: To compare non-Hispanic Black with non-Hispanic White survivors of childhood cancer by examining the associations of EAA with cancer treatment exposures, potential racial and ethnic disparity in EAA, and mediating roles of social determinants of health (SDOH). Design, Setting, and Participants: In this cross-sectional study, participants were from the St Jude Lifetime Cohort, which was initiated in 2007 with ongoing follow-up. Eligible participants included non-Hispanic Black and non-Hispanic White survivors of childhood cancer treated at St Jude Children's Research Hospital between 1962 and 2012 who had DNA methylation data. Data analysis was conducted from February 2023 to May 2024. Exposure: Three treatment exposures for childhood cancer (chest radiotherapy, alkylating agents, and epipodophyllotoxin). Main Outcomes and Measures: DNA methylation was generated from peripheral blood mononuclear cell-derived DNA. EAA was calculated as residuals from regressing Levine or Horvath epigenetic age on chronological age. SDOH included educational attainment, annual personal income, and the socioeconomic area deprivation index (ADI). General linear models evaluated cross-sectional associations of EAA with race and ethnicity (non-Hispanic Black and non-Hispanic White) and/or SDOH, adjusting for sex, body mass index, smoking, and cancer treatments. Adjusted least square means (ALSM) of EAA were calculated for group comparisons. Mediation analysis treated SDOH as mediators with average causal mediation effect (ACME) calculated for the association of EAA with race and ethnicity. Results: Among a total of 1706 survivors including 230 non-Hispanic Black survivors (median [IQR] age at diagnosis, 9.5 [4.3-14.3] years; 103 male [44.8%] and 127 female [55.2%]) and 1476 non-Hispanic White survivors (median [IQR] age at diagnosis, 9.3 [3.9-14.6] years; 766 male [51.9%] and 710 female [48.1%]), EAA was significantly greater among non-Hispanic Black survivors (ALSM = 1.41; 95% CI, 0.66 to 2.16) than non-Hispanic White survivors (ALSM = 0.47; 95% CI, 0.12 to 0.81). Among non-Hispanic Black survivors, EAA was significantly increased among those exposed to chest radiotherapy (ALSM = 2.82; 95% CI, 1.37 to 4.26) vs those unexposed (ALSM = 0.46; 95% CI, -0.60 to 1.51), among those exposed to alkylating agents (ALSM = 2.33; 95% CI, 1.21 to 3.45) vs those unexposed (ALSM = 0.95; 95% CI, -0.38 to 2.27), and among those exposed to epipodophyllotoxins (ALSM = 2.83; 95% CI, 1.27 to 4.40) vs those unexposed (ALSM = 0.44; 95% CI, -0.52 to 1.40). The association of EAA with epipodophyllotoxins differed by race and ethnicity (ß for non-Hispanic Black survivors, 2.39 years; 95% CI, 0.74 to 4.04 years; ß for non-Hispanic White survivors, 0.68; 95% CI, 0.05 to 1.31 years) and the difference was significant (1.77 years; 95% CI, 0.01 to 3.53 years; P for interaction = .049). Racial and ethnic disparities in EAA were mediated by educational attainment (

Health conditions contribution to disability burden in Spain and the role of ethnicity and migrant status: A nation-wide study.

BACKGROUND: Disability is frequently associated with contextual or lifestyle factors. Some health conditions may affect the prevalence of disability differently, especially for some minority groups. This study aims to assess the impact and contribution of different health conditions to disability burden in Spain in Roma and immigrant populations, compared to the general population. METHODS: This is a cross-sectional study. We have used data from the Spanish National Survey of 2017 and the National Health Survey of the Roma Population 2014. We have calculated frequencies of demographic variables and prevalence of health conditions grouped by body function. We also have fitted binomial additive hazard models, using the attribution method, to assess disabling impact and contribution of health conditions to disability burden. The software R was used for the computations. RESULTS: Roma and immigrant populations had worse socioeconomic status than the general population, although the gap was more heavily marked among Roma. Roma population showed a higher prevalence in all health conditions, with a disability prevalence of 57.90%, contrary to the immigrant population, that showed a lower prevalence in all health conditions, including disability (30.79%), than the general population (40.00%). However, all health conditions were more disabling in the immigrant population. Neurological and cardiovascular diseases, and accidents among Roma, were the most disabling conditions. Nevertheless, musculoskeletal, chronic pain, and sensory diseases among Roma, had a greater contribution to disability burden, mainly due to a combination of a great prevalence and a great impact in functions of those health conditions. CONCLUSION: Both ethnicity and migrant status have shown differences in the burden of disability. While in the general population, musculoskeletal problems have the greatest contribution to the disability burden, in immigrants it was chronic pain and in the Roma population it was sensory problems. Disparities by sex were also found, with the contribution of musculoskeletal diseases being more important in females.

Rural and Ethnic Disparities in Out-of-hospital Care and Transport Pathways After Road Traffic Trauma in New Zealand.

Introduction: The out-of-hospital emergency medical service (EMS) care responses and the transport pathways to hospital play a vital role in patient survival following injury and are the first component of a well-functioning, optimised system of trauma care. Despite longstanding challenges in delivering equitable healthcare services in the health system of Aotearoa-New Zealand (NZ), little is known about inequities in EMS-delivered care and transport pathways to hospital-level care. Methods: This population-level cohort study on out-of-hospital care, based on national EMS data, included trauma patients <85 years in age who were injured in a road traffic crash (RTC). In this study we examined the combined relationship between ethnicity and geographical location of injury in EMS out-of-hospital care and transport pathways following RTCs in Aotearoa-NZ. Analyses were stratified by geographical location of injury (rural and urban) and combined ethnicity-geographical location (rural Maori, rural non-Maori, urban Maori, and urban non-Maori). Results: In a two-year period, there were 746 eligible patients; of these, 692 were transported to hospital. Indigenous Maori comprised 28% (196) of vehicle occupants attended by EMS, while 47% (324) of patients' injuries occurred in a rural location. The EMS transport pathways to hospital for rural patients were slower to reach first hospital (total in slowest tertile of time 44% vs 7%, P ≥ 0.001) and longer to reach definitive care (direct transport, 77% vs 87%, P = 0.001) compared to urban patients. Maori patients injured in a rural location were comparatively less likely than rural non-Maori to be triaged to priority transport pathways (fastest dispatch triage, 92% vs 97%, respectively, P = 0.05); slower to reach first hospital (total in slowest tertile of time, 55% vs 41%, P = 0.02); and had less access to specialist trauma care (reached tertiary trauma hospital, 51% vs 73%, P = 0.02). Conclusion: Among RTC patients attended and transported by EMS in NZ, there was variability in out-of-hospital EMS transport pathways through to specialist trauma care, strongly patterned by location of incident and ethnicity. These findings, mirroring other health disparities for Maori, provide an equity-focused evidence base to guide clinical and policy decision makers to optimize the delivery of EMS care and reduce disparities associated with out-of-hospital EMS care.

Image Analysis of Xerosis and Atopic Dermatitis Following Prebiotic Skincare Regimen in Ethnically Diverse Patients.

Variations in the epidemiology, clinical presentation, and disease course in atopic dermatitis (AD) patients with Skin of Color (SOC) compared with white counterparts have been reported. In this study, we evaluated the capability of a new imaging device (SkinCam) in quantifying skin texture changes in diverse patients, presenting with AD or xerosis, after using a prebiotic skincare routine over 10 weeks.  A total of 39 subjects from diverse racial/ethnic backgrounds, aged 3 to 76 years old, with Fitzpatrick skin phototypes I to VI, presenting with mild AD and moderate to severe xerosis, were enrolled in the study. All subjects used a prebiotic cleanser on its own for 2 weeks, followed by a prebiotic moisturizer in conjunction for an additional 8 weeks. Standardized images of the subjects' legs were taken with SkinCam at several time points (baseline, week 2, and week 10), and analyzed for skin texture parameters. Our results demonstrate that both skin texture irregularity and skin color patterns significantly improve over time with a prebiotic skincare regimen in AD (n=12) and xerosis (n=24) subjects. Interestingly, image analyses showed more improvement over time in xerosis and AD SOC patients (n=18, Fitzpatrick IV-VI). Lastly, skin texture analyses from SkinCam imaging correlated with clinical assessments, showing significant improvement by prebiotic skincare regimen in all subjects by week 10. In summary, our results demonstrate that the SkinCam imaging device has the capability to effectively monitor skin texture parameters over time in both AD and xerosis patients with lightly and darkly pigmented skin. J Drugs Dermatol. 2024;23(7):557-563.  doi:10.36849/JDD.8371.

Overall, sex-and race/ethnicity-specific prevalence of thyroid dysfunction in US adolescents aged 12-18 years.

Background: Thyroid dysfunction significantly affects the health and development of adolescents. However, comprehensive studies on its prevalence and characteristics in US adolescents are lacking. Methods: We investigated the prevalence of thyroid dysfunction in US adolescents aged 12-18 years using data from the National Health and Nutrition Examination Survey (NHANES) 2001-2002 and 2007-2012 cycles. Thyroid dysfunction was assessed using serum thyroid-stimulating hormone (TSH) and free thyroxine (fT4) measurements. We analyzed the prevalence across demographic subgroups and identified associated risk factors. Results: The study included 2,182 participants, representing an estimated 12.97 million adolescents. The group had a weighted mean age of 15.1 ± 0.06 years, with males constituting 51.4%. Subclinical hyperthyroidism emerged as the most prevalent thyroid dysfunction, affecting 4.4% of the population. From 2001-2002 to 2011-2012, subclinical hyperthyroidism remained consistent at 4.99% vs. 5.13% in the overall cohort. Subclinical and overt hypothyroidism was found in 0.41 and 1.03% of adolescents respectively, and overt hyperthyroidism was rare (0.04%). The prevalence of thyroid peroxidase antibody (TPOAb) and thyroglobulin antibody (TgAb) positivity in the overall population were 5.8 and 9.8%, respectively. Positivity for TgAb was risk factors for hypothyroidism, while older age, female and Black Americans were risk factors for hyperthyroidism. Female adolescents and adolescents with an older age were more likely to be positive for TPOAb and TgAb, while Black and Mexican Americans had a lower risk of TPOAb and TgAb positivity. Conclusion: Subclinical hyperthyroidism was the most common form of thyroid dysfunction, and its prevalence remained stable from 2001-2002 to 2011-2012. Notable disparities in the prevalence of hyperthyroidism and antibody positivity were observed among different age, sex and racial/ethnic groups.

Why is ethnicity a risk factor for postpartum haemorrhage?

Postpartum haemorrhage (PPH) is a leading cause of maternal mortality and morbidity on a global scale. Ethnic background is known to be a determinant of variation in the outcomes of women receiving maternity care across the world. Despite free maternity healthcare in the UK National Health Service, women with an ethnic minority background giving birth have an increased risk of PPH, even when other characteristics of the mother, the baby and the care received are considered. Improving PPH care has significant implications for improving health equity. The underlying causes of ethnic disparities are complex and multifaceted. It requires a deep dive into analysing the unique patient factors that make these women more likely to suffer from a PPH as well as reflecting on the efficacy of intra and postpartum care and prophylactic treatment these women receive.

Surveillance for Violent Deaths - National Violent Death Reporting System, 48 States, the District of Columbia, and Puerto Rico, 2021.

Problem/Condition: In 2021, approximately 75,000 persons died of violence-related injuries in the United States. This report summarizes data from CDC's National Violent Death Reporting System (NVDRS) on violent deaths that occurred in 48 states, the District of Columbia, and Puerto Rico in 2021. Results are reported by sex, age group, race and ethnicity, method of injury, type of location where the injury occurred, circumstances of injury, and other selected characteristics. This report introduces additional incident and circumstance variables, which now include child victim-specific circumstance information. This report also incorporates new U.S. Census Bureau race and ethnicity categories, which now account for more than one race and Native Hawaiian or other Pacific Islander categories and include updated denominators to calculate rates for these populations. Period Covered: 2021. Description of System: NVDRS collects data regarding violent deaths from death certificates, coroner and medical examiner records, and law enforcement reports. This report includes data collected for violent deaths that occurred in 2021. Data were collected from 48 states (all states with exception of Florida and Hawaii), the District of Columbia, and Puerto Rico. Forty-six states had statewide data, two additional states had data from counties representing a subset of their population (31 California counties, representing 64% of its population, and 13 Texas counties, representing 63% of its population), and the District of Columbia and Puerto Rico had jurisdiction-wide data. NVDRS collates information for each violent death and links deaths that are related (e.g., multiple homicides, homicide followed by suicide, or multiple suicides) into a single incident. Results: For 2021, NVDRS collected information on 68,866 fatal incidents involving 70,688 deaths that occurred in 48 states (46 states collecting statewide data, 31 California counties, and 13 Texas counties), and the District of Columbia. The deaths captured in NVDRS accounted for 86.5% of all homicides, legal intervention deaths, suicides, unintentional firearm injury deaths, and deaths of undetermined intent in the United States in 2021. In addition, information was collected for 816 fatal incidents involving 880 deaths in Puerto Rico. Data for Puerto Rico were analyzed separately. Of the 70,688 deaths, the majority (58.2%) were suicides, followed by homicides (31.5%), deaths of undetermined intent that might be due to violence (8.2%), legal intervention deaths (1.3%) (i.e., deaths caused by law enforcement and other persons with legal authority to use deadly force acting in the line of duty, excluding legal executions), and unintentional firearm injury deaths (<1.0%). The term "legal intervention" is a classification incorporated into the International Classification of Diseases, Tenth Revision, and does not denote the lawfulness or legality of the circumstances surrounding a death caused by law enforcement.Demographic patterns and circumstances varied by manner of death. The suicide rate was higher for males than for females. Across all age groups, the suicide rate was highest among adults aged ≥85 years. In addition, non-Hispanic American Indian or Alaska Native (AI/AN) persons had the highest suicide rates among all racial and ethnic groups. Among both males and females, the most common method of injury for suicide was a firearm. Among all suicide victims, when circumstances were known (84.4%), suicide was most often preceded by a mental health, intimate partner, or physical health problem or by a recent or impending crisis during the previous or upcoming 2 weeks. The homicide rate was higher for males than for females. Among all homicide victims, the homicide rate was highest among persons aged 20-24 years compared with other age groups. Non-Hispanic Black or African American (Black) males experienced the highest homicide rate of any racial or ethnic group. Among all homicide victims, the most common method of injury was a firearm. When the relationship between a homicide victim and a suspect was known, the suspect was most frequently an acquaintance or friend for male victims and a current or former intimate partner for female victims. Homicide most often was precipitated by an argument or conflict, occurred in conjunction with another crime, or, for female victims, was related to intimate partner violence. Nearly all victims of legal intervention deaths were male, and the legal intervention death rate was highest among men aged 30-34 years. The legal intervention death rate was highest among AI/AN males, followed by Black males. A firearm was used in the majority of legal intervention deaths. When circumstances were known, the most frequent circumstances reported for legal intervention deaths were as follows: the victim used a weapon in the incident and the victim had a substance use problem (other than alcohol use). Other causes of death included unintentional firearm injury deaths and deaths of undetermined intent. Unintentional firearm injury deaths were most frequently experienced by males, non-Hispanic White (White) persons, and persons aged 15-24 years. These deaths most frequently occurred while the shooter was playing with a firearm and were precipitated by a person unintentionally pulling the trigger. The rate of deaths of undetermined intent was highest among males, particularly among AI/AN and Black males, and among adults aged 30-54 years. Poisoning was the most common method of injury in deaths of undetermined intent, and opioids were detected in nearly 80% of decedents tested for those substances. Interpretation: This report provides a detailed summary of data from NVDRS on violent deaths that occurred in 2021. The suicide rate was highest among AI/AN and White males, whereas the homicide rate was highest among Black males. Intimate partner violence precipitated a large proportion of homicides for females. Mental health problems, intimate partner problems, interpersonal conflicts, and acute life stressors were primary precipitating circumstances for multiple types of deaths examined. Public Health Action: Violence is preventable, and data can guide public health action. NVDRS data are used to monitor the occurrence of violence-related fatal injuries and assist public health authorities in developing, implementing, and evaluating programs, policies, and practices to reduce and prevent violent deaths. NVDRS data can be used to enhance prevention efforts into actionable strategies. States or jurisdictions have used their Violent Death Reporting System (VDRS) data to guide suicide prevention efforts and highlight where additional focus is needed. For example, North Carolina VDRS program data have played a significant role in expanding activities related to firearm safety and injury prevention. The program served as a primary data source for partners, which led to the creation of the Office of Violence Prevention in the state, focusing on combatting firearm-related deaths. In Maine, the VDRS provided data on law enforcement officer suicides that were used to help support a bill mandating mental health resiliency and awareness training in the state's law enforcement training academy, along with plans for similar training addressing mental health, substance use, and alcohol problems among corrections officers. In addition, states and jurisdictions have also used their VDRS data to examine factors related to homicide in their state or jurisdiction. For example, Georgia VDRS collaborated with the City of Atlanta Mayor's Office of Violence Reduction to develop two public dashboards that not only offer comprehensive data on violent deaths but also present data on the geographic distribution of populations disproportionately affected by violence to help inform violence prevention interventions.