Maintaining disorder: estimating the association between policing and psychiatric hospitalization among youth in New York City by neighborhood racial composition, 2006-2014.

PURPOSE: To assess whether neighborhood-level measures of policing are spatio-temporally associated with psychiatric hospialization among adolescents and young adults in New York City, and whether this association varies by neighborhood racial composition. METHODS: We derived population-based measures of policing from the New York City Police Department (NYPD), psychiatric hospitalization from Statewide Planning and Research Cooperative System (SPARCS) data, and socio-demographic data from the American Community Survey (ACS), aggregated by month and ZIP Code Tabulation Area (ZCTA) from 2006 to 2014. Multi-level negative binomial regression models assessed hospitalization-time of youth aged 10-24 as the dependent variable and the rate of policing events as the primary independent variable, adjusting for neighborhood poverty, unemployment, and educational attainment. Multiplicative interaction was assessed between policing and tertiles of the percentage of Black residents. RESULTS: A total of 11,900,192 policing incidents and 2,118,481 person-days of hospitalization were aggregated to 19,440 ZCTA-months. After adjusting for neighborhood-level sociodemographic characteristics, an increase in one policing incident per 1,000 residents was associated with a 0.3% increase in the rate of youth psychiatric hospitalization time (IRR 1.003 [1.001-1.005]). Neighborhood racial composition modified this effect; not only was the rate of psychiatric hospitalization and policing higher in neighborhoods with a higher proportion of Black residents, but the association between these was also significantly higher in neighorhoods with a larger share of Black residents compared with predominantly non-Black neighborhoods. CONCLUSION: Neighborhoods experiencing higher rates of policing during the study period experienced higher burdens of psychiatric hospitalization among adolescent and young adult residents. This association was larger in neighborhoods of color which have been disproportionately targeted by "hot spot" and order-maintenance policing practices and policies.

Motivators and Barriers to COVID-19 Vaccination Intentions Across U.S. County-Level Barriers in the COVID-19 Vaccine Coverage Index.

BACKGROUND: County-level barriers (sociodemographic barriers, limited healthcare system resources, healthcare accessibility barriers, irregular healthcare seeking behaviors, low vaccination history) may impact individuals' reasons for receiving the COVID-19 vaccine. METHODS: This study linked data from REACH-US (Race-Related Experiences Associated with COVID-19 and Health in the United States), a nationally representative, online survey of 5475 adults living in the U.S (January-March 2021) to county-level barriers in the COVID-19 Vaccine Coverage Index. County-level vaccination barriers were measured using the COVID-19 Vaccine Coverage Index. Participants reported why they would or would not receive the COVID-19 vaccine in an open-ended item and their responses were coded using thematic analysis. Descriptive statistics and chi-square tests assessed whether reasons for COVID-19 vaccination intentions varied by county-level barriers and whether these distributions varied across racial/ethnic groups. RESULTS: Thematic analysis revealed twelve themes in participants' reasons why they would or would not receive the COVID-19 vaccine. Themes of societal responsibility (9.8% versus 7.7%), desire to return to normal (8.1% versus 4.7%), and trust in science/healthcare/government (7.7% versus 5.1%) were more frequently reported in counties with low/medium barriers (versus high/very high) (p-values < 0.05). Concerns of COVID-19 vaccine side effects/safety/development (25.3% versus 27.9%) and concerns of access/costs/availability/convenience (1.9% versus 3.6%) were less frequently reported in counties with low/medium barriers (versus high/very high) (p-values < 0.05). Trends in the prevalence of these themes varied across racial/ethnic groups (p-values < 0.05). CONCLUSIONS: Future pandemic responses should consider potential ways county-level barriers shape reasons for COVID-19 vaccination.

Aberrant HIF1- α and SIX-1 Expression is Associated with Poor Prognosis in Acute Myeloid Leukemia Patients with Isocitrate Dehydrogenase 1 Mutations.

BACKGROUND: IDH1 mutations are common in many cancers, however, their role in promoting the Warburg effect remains elusive. This study elucidates the putative involvement of mutant-IDH1 in regulating hypoxia-inducible factor (HIF1-α) and Sine-Oculis Homeobox-1 (SIX-1) expression. METHODOLOGY: Genetic screening was performed using the ARMS-PCR in acute myeloid leukemia (AML), brain, and breast cancer (BC) cohorts, while transcript expression was determined using qPCR. Further, a meta-analysis of risk factors associated with the R132 mutation was performed. RESULTS: Approximately 32% of AML and ∼60% of glioma cases were mutants, while no mutation was found in the BC cohort. 'AA' and TT' were associated with higher disease risk (OR = 12.18 & 4.68) in AML and had significantly upregulated IDH1 expression. Moreover, downregulated HIF1-α and upregulated SIX-1 expression was also observed in these patients, suggesting that mutant-IDH1 may alter glucose metabolism. Perturbed IDH1 and HIF-α levels exhibited poor prognosis in univariate and multivariate analysis, while age and gender were found to be contributory factors as well. Based on the ROC model, these had a good potential to be used as prognostic markers. A significant variation in frequencies of R132 mutations in AML among different populations was observed. Cytogenesis (R2 = 12.2%), NMP1 mutation status (R2 = 18.5%), and ethnic contributions (R2 = 73.21%) were critical moderators underlying these mutations. Women had a higher risk of R132 mutation (HR = 1.3, P < 0.04). The pooled prevalence was calculated to be 0.29 (95% CI 0.26-0.33, P < 0.01), indicating that IDH1 mutations are a significant prognostic factor in AML. CONCLUSION: IDH1 and HIF1-α profiles are linked to poor survival and prognosis, while high SIX-1 expression in IDH1 mutants suggests a role in leukemic transformation and therapy response in AML.

IDH1 mutations are common in many types of cancer, but scientists have not fully understood how they contribute to the Warburg effect - a process that alters glucose metabolism in cells. In this study, we evaluate the association between mutant-IDH1 and HIF1 as well as SIX-1 gene expression. We analyzed genetic data from patients with brain cancer, breast cancer, and acute myeloid leukemia (AML), and found that roughly 32% of AML cases and 60% of glioma cases had IDH1 mutations, while no mutations were found in breast cancer. Patients with mutant genotypes had a higher risk of disease and showed upregulated IDH1 expression. They also had downregulated HIF1 and upregulated SIX-1 expression, suggesting that mutant-IDH1 can change glucose metabolism in cancer cells. Patients with abnormal IDH1 and HIF1 levels were more likely to have a poor prognosis. Further, we identified several risk factors that can influence IDH1 mutations, including cytogenesis, NMP1 mutation status, and ethnicity. The researchers calculated that IDH1 mutations are a significant factor in predicting outcomes for AML.

Body fat distribution and bone mineral density in a multi-ethnic sample of postmenopausal women in The Malaysian Cohort.

In this study of postmenopausal women in Malaysia, total adiposity was inversely associated with total BMD, while regional associations varied. No differences were detected across Malay, Chinese, and Indian ethnicities. Low BMD contributes substantially to morbidity and mortality, and increasing adiposity levels globally may be contributing to this. PURPOSE: To investigate associations of total and regional adiposity with bone mineral density (BMD) among a multi-ethnic cohort of postmenopausal women. METHODS: Dual X-ray absorptiometry (DXA) imaging was undertaken for 1990 postmenopausal women without prior chronic diseases (30% Malay, 53% Chinese, and 17% Indian) from The Malaysian Cohort (TMC). The strength of the associations between standardized total and regional body fat percentages with total and regional BMD was examined using linear regression models adjusted for age, height, lean mass, ethnicity, education, and diabetes. Effect modification was assessed for ethnicity. RESULTS: Women with a higher total body fat percentage were more likely to be Indian or Malay. Mean (SD) BMD for the whole-body total, lumbar spine, leg, and arm were 1.08 (0.11), 0.96 (0.15), 2.21 (0.22), and 1.36 (0.12) g/cm2, respectively. Total body and visceral fat percentage were inversely associated with total BMD (- 0.02 [95% CI - 0.03, - 0.01] and - 0.01 [- 0.02, - 0.006] g/cm2 per 1 SD, respectively). In contrast, subcutaneous and gynoid fat percentages were positively associated with BMD (0.007 [0.002, 0.01] and 0.01 [0.006, 0.02] g/cm2, respectively). Total body fat percentage showed a weak positive association with lumbar BMD (0.01 [0.004, 0.02]) and inverse associations with leg (- 0.04 [- 0.06, - 0.03]) and arm (- 0.02 [- 0.03, - 0.02]) BMD in the highest four quintiles. There was no effect modification by ethnicity (phetero > 0.05). CONCLUSION: Total adiposity was inversely associated with total BMD, although regional associations varied. There was no heterogeneity across ethnic groups suggesting adiposity may be a risk factor for low BMD across diverse populations.

How do deep-learning models generalize across populations? Cross-ethnicity generalization of COPD detection.

OBJECTIVES: To evaluate the performance and potential biases of deep-learning models in detecting chronic obstructive pulmonary disease (COPD) on chest CT scans across different ethnic groups, specifically non-Hispanic White (NHW) and African American (AA) populations. MATERIALS AND METHODS: Inspiratory chest CT and clinical data from 7549 Genetic epidemiology of COPD individuals (mean age 62 years old, 56-69 interquartile range), including 5240 NHW and 2309 AA individuals, were retrospectively analyzed. Several factors influencing COPD binary classification performance on different ethnic populations were examined: (1) effects of training population: NHW-only, AA-only, balanced set (half NHW, half AA) and the entire set (NHW + AA all); (2) learning strategy: three supervised learning (SL) vs. three self-supervised learning (SSL) methods. Distribution shifts across ethnicity were further assessed for the top-performing methods. RESULTS: The learning strategy significantly influenced model performance, with SSL methods achieving higher performances compared to SL methods (p < 0.001), across all training configurations. Training on balanced datasets containing NHW and AA individuals resulted in improved model performance compared to population-specific datasets. Distribution shifts were found between ethnicities for the same health status, particularly when models were trained on nearest-neighbor contrastive SSL. Training on a balanced dataset resulted in fewer distribution shifts across ethnicity and health status, highlighting its efficacy in reducing biases. CONCLUSION: Our findings demonstrate that utilizing SSL methods and training on large and balanced datasets can enhance COPD detection model performance and reduce biases across diverse ethnic populations. These findings emphasize the importance of equitable AI-driven healthcare solutions for COPD diagnosis. CRITICAL RELEVANCE STATEMENT: Self-supervised learning coupled with balanced datasets significantly improves COPD detection model performance, addressing biases across diverse ethnic populations and emphasizing the crucial role of equitable AI-driven healthcare solutions. KEY POINTS: Self-supervised learning methods outperform supervised learning methods, showing higher AUC values (p < 0.001). Balanced datasets with non-Hispanic White and African American individuals improve model performance. Training on diverse datasets enhances COPD detection accuracy. Ethnically diverse datasets reduce bias in COPD detection models. SimCLR models mitigate biases in COPD detection across ethnicities.

Subsequent fracture risk in Norwegians and immigrants with an index forearm fracture: a cohort study.

The current study investigated subsequent fracture risk following a forearm fracture in three country of birth categories: Norway, Europe and North America, and other countries. Subsequent fracture risk was modestly higher in Norwegian-born individuals compared to the two other groups. Secondary fracture prevention should be recommended regardless of country background. BACKGROUND: Fracture risk is higher in patients with a previous fracture, but whether subsequent fracture risk differs by origin of birth is unknown. This study explores subsequent fracture risk in patients with an index forearm fracture according to region of birth. METHODS: Nationwide data on forearm fractures in patients ≥ 18 years in 2008-2019 were obtained from the Norwegian Patient Registry and Statistics Norway. Index fractures were identified by ICD-10 code S52, whereas subsequent fractures included any ICD-10 fracture code. Data on country of birth were from Statistics Norway and included three regional categories: (1) Norway, (2) other Europe and North America and (3) other countries. Direct age standardization and Cox proportional hazard regression were used to analyse the data. RESULTS: Among 143,476 individuals with an index forearm fracture, 35,361 sustained a subsequent fracture. Norwegian-born forearm fracture patients had the highest subsequent fracture rates (516/10,000 person-years in women and 380 in men). People born outside Europe and North America had the lowest rates (278/10,000 person-years in women and 286 in men). Compared to Norwegian-born individuals, the hazard ratios (HRs) of subsequent fracture in individuals from Europe and North American were 0.93 (95% CI 0.88-0.98) in women and 0.85 (95% CI 0.79-0.92) in men. The corresponding HRs in individuals from other countries were 0.76 (95% CI 0.70-0.84) in women and 0.82 (95% CI 0.74-0.92) in men. CONCLUSION: Individuals born outside Norway had a lower subsequent fracture risk than Norwegian-born individuals; however, subsequent fracture risk increased with age in all groups. Our results indicate that secondary fracture prevention should be recommended regardless of region of origin.

Predictive model for postpartum hemorrhage requiring hysterectomy in a minority ethnic region.

BACKGROUND: Postpartum hemorrhage (PPH) is a leading cause of maternal mortality, and hysterectomy is an important intervention for managing intractable PPH. Accurately predicting the need for hysterectomy and taking proactive emergency measures is crucial for reducing mortality rates. AIM: To develop a risk prediction model for PPH requiring hysterectomy in the ethnic minority regions of Qiandongnan, China, to help guide clinical decision-making. METHODS: The study included 23490 patients, with 1050 having experienced PPH and 74 who underwent hysterectomies. The independent risk factors closely associated with the necessity for hysterectomy were analyzed to construct a risk prediction model, and its predictive efficacy was subsequently evaluated. RESULTS: The proportion of hysterectomies among the included patients was 0.32% (74/23490), representing 7.05% (74/1050) of PPH cases. The number of deliveries, history of cesarean section, placenta previa, uterine atony, and placenta accreta were identified in this population as independent risk factors for requiring a hysterectomy. Receiver operating characteristic curve analysis of the prediction model showed an area under the curve of 0.953 (95% confidence interval: 0.928-0.978) with a sensitivity of 90.50% and a specificity of 90.70%. CONCLUSION: The model demonstrates excellent predictive power and is effective in guiding clinical decisions regarding PPH in the ethnic minority regions of Qiandongnan, China.

Religious Involvement and Cognitive Function Among White, Black, and Hispanic Older Adults.

We examined whether religious involvement was associated with cognitive function among older adults in the 2006-2020 waves of the Health and Retirement Study. Using growth curve analysis, we found the association between religious involvement and cognition varied by facet of religious involvement and race and Hispanic ethnicity. Attending religious services with friends was associated with higher initial levels of cognitive function (b = 0.22, p < .05). For Hispanic older adults, frequent attendance at religious services was associated with a slower rate of cognitive decline (b = 0.16, p < .01). Stratified models by race and Hispanic ethnicity demonstrated that religious salience was associated with lower initial levels of cognitive function among non-Hispanic White adults (b = -0.19, p < .01). We found no association between religious involvement and cognitive function among non-Hispanic Black respondents. In sum, elements of religious involvement are positively or negatively related to cognitive function in later life and vary by race and ethnicity.

Midwifery Students' Experiences of Bias in the Clinical Setting: Prevalence, Types, and Impact.

INTRODUCTION: Exposure to bias in clinical learning environments may undermine students' confidence, cause emotional harm, impede learning, and potentially delay graduation. However, little is known about the prevalence of bias experienced by midwifery students in the United States. This cross-sectional, descriptive study aimed to quantify clinical midwifery students' experiences of bias based on 7 self-identified characteristics (gender identity, race or ethnicity, body size, age, sexual orientation, religion, and occupational background). Additionally, this research explored the impact of bias on student well-being, learning, and professional commitment. METHODS: The survey consisted of 39 items addressing (1) prevalence and types of bias, (2) emotional impact and influence on clinical learning, (3) ways students coped, (4) whether anyone spoke up at the time bias occurred, (5) whether students reported bias to faculty, and (6) impact of bias on commitment to midwifery. The survey was distributed to midwifery students and recent graduates in 2022 via American College of Nurse-Midwives email discussion lists and social media. Participants were eligible if they were in a clinical rotation in an Accreditation Commission for Midwifery Education-accredited midwifery program between 2019 and 2022. RESULTS: Surveys were returned by 383 participants, with 301 meeting inclusion criteria. Most participants (66.5%) reported personally experiencing or witnessing bias against at least 1 of 7 personal characteristics. The most commonly reported biases were related to gender, occupational background, age, and race or ethnicity. Only half of the participants reported these occurrences to someone with academic authority, and nearly a third considered withdrawing from their educational programs. DISCUSSION: In this study bias was common and significantly impacted students. These results underscore the need for creative and bold interventions at personal, educational, and institutional levels to prevent and mitigate bias. Safeguarding clinical learning environments will enable students to thrive, graduate with confidence and competence, and thereby contribute to the diversification and strengthening of the midwifery profession.

Estimating the Prevalence of Dementia in New Zealand Using Capture-Recapture Analysis on Routinely Collected Health Data.

OBJECTIVES: Community based dementia prevalence studies are expensive and resource intensive. Aotearoa New Zealand (NZ) has never had a community based dementia prevalence study representing all major ethnic groups. In recent years, dementia prevalence estimates have been derived from routinely collected health data but issues of underdiagnosis and undercoding limit their utility. Capture-recapture techniques can estimate the number of dementia cases missing from health datasets by modelling the ascertained overlaps between linked data sources. METHODS: Three routinely collected national health data sets-interRAI, Public hospital discharges, and Pharmaceuticals-were linked and all prevalent cases of dementia in NZ for the year 1 January 2021-31 December 2021 were identified. Capture-recapture analysis fitted eight loglinear models to the data, with the best fitting model used to estimate the number of prevalent cases missing from all three datasets. RESULTS: We estimated that almost half (47.8%) of dementia cases are not present in any of the three datasets. Dementia prevalence increased from 3.7% to 7.1% (95% CI 6.9%-7.4%) in the NZ 60+ population and from 4.9% to 9.2% (95% CI 8.9%-9.6%) in the NZ 65+ population when missing cases were included. Estimates of missing cases were significantly higher (p < 0.001) in Maori (49.2%), Pacific peoples (50.6%) and Asian (59.6%) compared to Europeans (46.4%). CONCLUSIONS: This study provides updated estimates of dementia prevalence in NZ and the proportion of undiagnosed dementia in NZ, highlighting the need for better access to dementia assessment and diagnosis.

Cognitive Alterations Associated with Remission and Alcohol Dependence Severity in Ethnically Diverse Patients of Siberia.

Background: Impaired cognition in individuals with alcohol dependence may be associated with increased relapse risk. It has been recorded in more than half of patients during six months after treatment. In certain ethnic groups, for example, Tuvinians, the indigenous people of Siberia, relapses occur in extremely short periods of one to three months after treatment. An approach currently used to alcohol dependence treatment may be less effective for these patients. Objective: The study aimed to investigate cognitive sequelae in indigenous Tuvinian patients with alcohol dependence. Methods: The sample included 166 patients, 74 of indigenous ethnicity (Tuvinians) and 92 non-indigenous white patients. Data on inhibitory control, cognitive flexibility, attention, and working memory were collected from all the patients and processed using cluster analysis. The clustering data were then complemented by indicators of disorder dynamics, impulsivity, and emotion regulation. Results: The clustering procedure revealed groups with severe cognitive sequelae. More than four-fold attention decrease was found in 43.5% of non-indigenous patients, and more impaired cognitive flexibility was revealed among 60.8% of indigenous patients. Groups with severe cognitive sequelae had higher impulsivity, maladaptive emotion regulation, more hospitalizations, faster disease progression, and shorter remissions. The latter was significantly reduced to 90 days on average in the severe group of indigenous patients versus 135 days of remission in the non-indigenous severe group. Conclusion: Results obtained may advance tailored intervention in alcohol-dependent patients of the indigenous Tuvinian ethnicity. While little is still known about the alcohol dependence course and consequences in the indigenous Tuvinians of Siberia, this study contributes to the global mental health data on alcohol abuse and dependence in indigenous communities.

Prevalence and Characteristics of Metabolic Dysfunction-Associated Fatty Liver Disease among an Iranian Adult Population with Ethnic and Genetic Diversity: Results of the PolyIran-Liver Study.

Background: Metabolic dysfunction-associated fatty liver disease (MAFLD) is a rising global public health concern. It has been demonstrated that its prevalence and characteristics vary by region and racial/ethnicity. We aimed to investigate the prevalence of MAFLD and its characteristics among Turkmen and non-Turkmen ethnic groups in a multiethnic population region of Iran. Methods: In this cross-sectional study, we analyzed baseline data for 1614 participants, aged above 50 years, from the PolyIran-Liver trial who were randomly selected from Gonabad city and determined the prevalence of MAFLD and its demographic and metabolic disorders for both the Turkmen and non-Turkmen ethnic groups. Multivariate binary logistic regressions were applied to identify MAFLD-associated factors for men and women separately for the Turkmen and non-Turkmen populations. Results: The mean (SD) age of the participants was 59.1(6.7) years. Of the participants, 51.5% (n=831) were men, and 52.9% (n=854) were Turkmen. The prevalence of MAFLD among the overall study population was 39.8% (n=614). It was more common among women (45.8% vs. 34.1% in men, P<0.001), non-Turkmens (43.9% vs. 36.1% in Turkmens, P<0.001), and at age 50-64 (41.5% vs.36.1% in age≥65 P=0.004). The fully adjusted multivariate analysis in sex strata exhibited an independent negative association between Turkmen ethnicity only among men but not among women. The increased waist circumference (WC) was the most common metabolic disorder, observed in more than 95.5% of patients with MAFLD (P<0.001). Multivariate analysis in sex/ethnic strata with adjustment for potential confounders revealed an independent association of MAFLD with increased WC, insulin resistance, impaired fasting glucose/diabetes type 2, and high alanine aminotransferase (ALT) among women in both ethnic groups while with elevated triglyceride (TG) only among Turkmen and high body mass index (BMI) only among non-Turkmen women. Increased WC had the strongest independent association with MAFLD among women and the highest odds ratio (OR) with MAFLD in Turkmen women (OR: 6.10; 95% CI 1.56-23.86 vs. 4.80 in non-Turkmen women). Among men, MAFLD was independently associated with insulin resistance, high BMI, and high ALT in both ethnic groups and elevated TG only in non-Turkmen men (all P<0.001). Insulin resistance had the strongest independent OR with MAFLD among men with similar size in both ethnic groups (4.68 [95% CI 2.56-8.55]) in non-Turkmen men and 4.37 (95% CI 2.27-8.42 in Turkmen men). Conclusion: This study revealed the high prevalence of MAFLD with a sex and ethnic disparity in the middle-aged population of Gonabad city. Further research is needed to understand the factors contributing to the higher prevalence of MAFLD in this region, particularly in women. Furthermore, considering the diverse ethnic population of Iran, it is suggested that future investigations on the sex and ethnic aspects of MAFLD in the Iranian population be conducted to provide targeted prevention strategies better suited for the Iranian population.

"I feel like a caged pig in here": Language, Race, and Ethnic Identity in a Case Study Hmong Nursing Home Resident Quality of Life.

Racial disparities in nursing home (NH) quality of life (QOL) are well established, yet, little is understood about actual experiences shaping QOL for Black, indigenous, and people of color (BIPOC) residents in NHs. This gap extends to BIPOC residents with limited English proficiency (LEP). Drawing on Kane's (2001) and Zubristky's (2013) QOL frameworks, this case study examined QOL experiences for Hmong NH residents, an ethnic and refugee group from Southeast Asia, in a NH with a high proportion of BIPOC residents. Methods include four months of observation, interviews with eight Hmong residents and five NH staff, and one community focus group. Thematic analysis revealed significant challenges in QOL. Exacerbated by language barriers and racism, many residents reported neglect, limited relationships, lack of meaningful activities, and dissatisfaction with food. These experiences fostered a sense of resignation and diminished QOL among Hmong residents, highlighting the need for additional supports for this group.

Cultural Adaptations, Efficacy, and Acceptability of Psychological Interventions for Mental Health in Adults with Refugees and Asylum-Seeker Status: A Systematic Review.

People with refugees and asylum seeker status (R/AS) have been forced to leave their home and resettle in new countries due to political unrest, conflict, and violence. This review aimed to describe the nature and extent of cultural adaptations to psychological interventions for adults with R/AS experiencing clinically significant psychological distress, and the acceptability and efficacy of these interventions. A search was conducted in October 2023 and February 2024 across five electronic databases: PsycINFO, Medline, Embase, PubMed, and Cochrane. Eligible studies were randomized controlled trials of psychological interventions conducted in any geographic context. Studies reporting on interventions with minimal adaptations only to facilitate treatment access, with no clear evidence for cultural adaptation, were excluded. Eighteen studies were identified, and cultural adaptations were described in line with the Ecological Validity Model. Studies investigating transdiagnostic interventions, cognitive behavioral therapy (CBT) interventions, and other psychotherapies were synthesized. Analysis and reporting of acceptability were limited across intervention groups, highlighting a need for more robust research in this area. CBT interventions and other psychological therapies were found to be most efficacious with moderate to large effects across validated psychological measures. Small to moderate effect sizes were observed across transdiagnostic interventions. The evidence quality was generally of some concerns. While the evidence requires further developments, the current review provides a timely synthesis of culturally adapted interventions for adults with R/AS to inform intervention development and clinical practice. Strengths, limitations, and recommendations for future research are discussed.

Five-Year Relative Survival Rates of Women Diagnosed with Uterine Cancer by County-Level Socioeconomic Status Overall and across Histology and Race/Ethnicity.

Understanding socioeconomic factors contributing to uterine cancer survival disparities is crucial, especially given the increasing incidence of uterine cancer, which disproportionately impacts racial/ethnic groups. We investigated the impact of county-level socioeconomic factors on five-year survival rates of uterine cancer overall and by histology across race/ethnicity. We included 333,013 women aged ≥ 30 years with microscopically confirmed uterine cancers (2000-2018) from the Surveillance, Epidemiology, and End Results 22 database followed through 2019. Age-standardized five-year relative survival rates were compared within race/ethnicity and histology, examining the differences across tertiles of county-level percent (%)

Demographic diversity of participants in clinical trials conducted in Singapore.

Introduction: The under-representativeness of participants in clinical trials limits the generalisability of results. This review evaluates the representative-ness within pharmaceutical randomised controlled trials (RCTs) in Singapore. Method: Four bibliographic databases were searched for papers on pharmaceutical RCTs which included Singapore adults (≥18 years old), published between 2017 and 2022. The demographic characteristics of study participants were compared against the population in the 2020 Singapore census. Recruitment strategies and authors' comments on the generalisa-bility of their findings were reviewed. Results: Thirty-three publications were included (19 Singapore-only studies and 14 multiregional trials which included Singapore). Where data were available, we found that females and Indians were under-represented compared to the census (41.3% versus [vs] 51.1%, P<0.05; 7.3% vs 9.0%, P<0.05). Ethnic diversity varied between individual studies, and almost half (46.2%) of Singapore-only studies achieved census levels. However, more than one-third of the trials provided no data (31.6%) or partial data (5.3%) on ethnicity. Half of the multiregional publications stated the number of participants recruited from Singapore, but only 1 reported any detail beyond Asian participants. Recruitment strategies were mentioned in fewer than half (42.4%), and less than a quarter (24.2%) commented on sample representative-ness or the external validity of the evidence generated. Conclusion: There is room for improvement regarding the recruitment of RCT participants in Singapore, with particular attention to female gender and Indian ethnicity. Demographic data should also be presented in full. RCTs should be designed and reported such that clinicians can ascertain the generalisability to the Singapore population and the potential benefits from the studied interventions in clinical practice.

Immigration and Intergenerational Co-Residency Among Working-Aged Adults in the United Kingdom.

Studies in the United Kingdom have shown distinctions in intergenerational co-residency between UK-born and foreign-born individuals, however, little research has examined how factors such as immigrant incorporation, economic adaptation, and kin availability shape household formation patterns among immigrants. This paper uses data from the UK Household Longitudinal Study (2009-2010) to explore differences in the likelihood of UK-born and foreign-born working-aged adults to co-reside with at least one parent, highlighting distinctions by life stage (age) at migration and gender. Results show that, regardless of life stage at migration, foreign-born women and men are less likely to co-reside with parents than UK-born, however, intergenerational co-residency is high among some second-generation immigrant groups, particularly UK-born Indian, Pakistani, and Bangladeshi individuals. These findings challenge cultural assumptions about household formation patterns and point to the need for additional research on how economic inequality, kin availability, and gender norms shape immigrant household composition.

Changes in mixed ethnicity households and neighbourhood transitions in England and Wales.

Conventional explanations of neighbourhood ethnic transitions consider what drives differential growth in ethnic group populations without regard to household composition. We enrich these nonhousehold approaches by using consistent Census data on neighbourhoods and households for England and Wales for 2001, 2011 and 2021 to analyse connections between mixed-ethnicity households and neighbourhood ethnic diversity. We employ a neighbourhood typology of ethnic diversity that identifies neighbourhoods as either low- or moderate-diversity, or high-diversity, where no single ethnic group is in the majority. We focus particularly on White-majority and highly diverse neighbourhoods given the dominance of the former in residential spaces in England and Wales, and because they are the principal source of transitions to highly diverse neighbourhoods. Mixed-ethnicity households have become an increasingly important feature of the ethnic diversification of England and Wales; by 2021, almost 15% of multiperson households were mixed, a growth from 12% in 2011 and 9% in 2001. We find that higher levels of neighbourhood ethnic diversity are associated with higher shares of mixed-ethnicity households. In high-diversity neighbourhoods, for example, around 30% of multiperson households (nearly a quarter of a million households) were ethnically mixed in 2021. Levels of household mixing in moderate-diversity White neighbourhoods were considerably higher than in low-diversity White neighbourhoods. The same is found for diversifying neighbourhoods. Neighbourhoods that become more ethnically diverse were typically home to higher rates of mixed-ethnicity households. Stably moderately diverse White neighbourhoods also had a higher proportion of mixed households. Studies of neighbourhood transition that focus on individuals in neighbourhoods may be missing important processes operating in the intimate spaces of the home. Including this intermediate scale of analysis adds to our understanding of neighbourhood ethnic mixing and processes of integration.

Maybe for unbearable suffering: Diverse racial, ethnic and cultural perspectives of assisted dying. A scoping review.

BACKGROUND: Assisted dying, also commonly known as euthanasia and physician-assisted suicide, is legal in many countries. Interest in assisted dying is growing due to evolving societal understandings of a good death and a desire for choice. Ethico-legal perspectives are well-known, but as societies become more heterogenous, a greater understanding of the perspectives of people from diverse racial, ethnic, and cultural backgrounds is needed. AIM: To explore perspectives of people from diverse racial, ethnic and cultural backgrounds about assisted dying. DESIGN: Scoping review with narrative synthesis. The protocol was registered with Open Science Framework. DATA SOURCES: Medline, CINAHL Complete, PsycINFO and ProQuest Dissertations & Theses Global were searched from inception to May 2023. Citations were independently assessed against inclusion and exclusion criteria. RESULTS: Of the 17 included studies, perspectives of assisted dying were presented according to religion, religiosity, spirituality, race, ethnicity and ancestry. Perspectives were diverse, presenting more as a spectrum, with multiple intersections and interconnections. Support and/or opposition for assisted dying differed according to cultural attributes, but even amongst those with similar cultural attributes, perspectives differed according to life experiences and notions of suffering. CONCLUSION: Perspectives on assisted dying are dynamic and evolving. Even where assisted dying is legalised, individual's cultural attributes contribute to unique perspectives of assisted dying as an end-of-life option. Thus, understanding a person's culture, beliefs, expectations and choices in illness, treatment goals and care is fundamental, extending beyond what may be already considered as part of clinician-patient care relationships and routine advance care planning.

Exploring the Interplay of Social Safety Nets, Race, Ethnicity, and Nativity on Psychological Distress Among Low-Income Mothers.

Low-income mothers face numerous challenges that increase their vulnerability to psychological distress. Their perceived or actual difficulty in accessing vital support networks, whether public or private, can significantly amplify this distress. Socially assigned identities, such as nativity, ethnicity, and race, intersect with socioeconomic factors, influencing mental health outcomes. Using data from the Future of Families and Child Wellbeing Study, our research investigated the impact of public and private safety nets on maternal psychological health. We found that, even after accounting for socioeconomic factors, non-Hispanic, US-born White mothers experienced higher levels of psychological distress compared to minoritized mothers. The role of safety nets varied by race and ethnicity, with private safety nets providing unique protection to Black and Hispanic mothers, while support was associated with increased distress only among White mothers. These findings highlight the need to consider sociocultural history when assessing safety net impacts on mental health.