Racial Composition of Social Environments Over the Life Course Using the Pictorial Racial Composition Measure: Development and Validation Study.

BACKGROUND: Studies investigating the impact of racial segregation on health have reported mixed findings and tended to focus on the racial composition of neighborhoods. These studies use varying racial composition measures, such as census data or investigator-adapted questions, which are currently limited to assessing one dimension of neighborhood racial composition. OBJECTIVE: This study aims to develop and validate a novel racial segregation measure, the Pictorial Racial Composition Measure (PRCM). METHODS: The PRCM is a 10-item questionnaire of pictures representing social environments across adolescence and adulthood: neighborhoods and blocks (adolescent and current), schools and classrooms (junior high and high school), workplace, and place of worship. Cognitive interviews (n=13) and surveys (N=549) were administered to medically underserved patients at a primary care clinic at the Barnes-Jewish Hospital. Development of the PRCM occurred across pilot and main phases. For each social environment and survey phase (pilot and main), we computed positive versus negative pairwise comparisons: mostly Black versus all other categories, half Black versus all other categories, and mostly White versus all other categories. We calculated the following validity metrics for each pairwise comparison: sensitivity, specificity, correct classification rate, positive predictive value, negative predictive value, positive likelihood ratio, negative likelihood ratio, false positive rate, and false negative rate. RESULTS: For each social environment, the mostly Black and mostly White dichotomizations generated better validity metrics relative to the half Black dichotomization. Across all 10 social environments in the pilot and main phases, mostly Black and mostly White dichotomizations exhibited a moderate-to-high sensitivity, specificity, correct classification rate, positive predictive value, and negative predictive value. The positive likelihood ratio values were >1, and the negative likelihood ratio values were close to 0. The false positive and negative rates were low to moderate. CONCLUSIONS: These findings support that using either the mostly Black versus other categories or the mostly White versus other categories dichotomizations may provide accurate and reliable measures of racial composition across the 10 social environments. The PRCM can serve as a uniform measure across disciplines, capture multiple social environments over the life course, and be administered during one study visit. The PRCM also provides an added window into understanding how structural racism has impacted minoritized communities and may inform equitable intervention and prevention efforts to improve lives.

The mediating role of SARS-CoV-2 variants between income and hospitalisation due to COVID-19: A period-based mediation analysis.

The mechanisms facilitating the relationship between low income and COVID-19 severity have not been partitioned in the presence of SARS-CoV-2 variants of concern (VOC). To address this, we used causal mediation analysis to quantify the possible mediating role infection with VOC has on the relationship between neighbourhood income (exposure) and hospitalisation due to COVID-19 among cases (outcome). A population-based cohort of 65,629 individuals residing in British Columbia, Canada, was divided into three periods of VOC co-circulation in the 2021 calendar year whereby each period included co-circulation of an emerging and an established VOC. Each cohort was subjected to g-formula mediation techniques to decompose the relationship between exposure and outcome into total, direct and indirect effects. In the mediation analysis, the total effects indicated that low income was associated with increased odds of hospitalisation across all periods. Further decomposition of the effects revealed that income is directly and indirectly associated with hospitalisation. The resulting indirect effect through VOC accounted for approximately between 6 and 13% of the total effect of income on hospitalisation. This study underscores, conditional on the analysis, the importance of addressing underlying inequities to mitigate the disproportionate impact on historically marginalised communities by adopting an equity lens as central to pandemic preparedness and response from the onset.

Nurturing Black Male Mental Health Through the Black Church: A Conceptual Approach from a Social Work Perspective.

This article introduces a conceptual framework rooted in social work principles to support the mental well-being of Black males within the nurturing and supportive setting of the Black Church. It addresses how historical trauma, societal views of Black masculinity, and social determinants of health have made Black men more likely to experience mental health challenges. The framework combines vulnerability theory and social work theory to focus on Black men's strengths and cultural sensitivities. It emphasizes the Black Church as a critical resource for promoting mental wellness and resilience. The approach includes implementing effective interventions to challenge stigma, improve the availability of mental health services, and encourage Black men to seek assistance. This article presents a holistic approach aimed at addressing mental health disparities experienced by Black males. It proposes using the strengths of the Black Church to promote resilience, facilitate healing, and encourage Black men to prioritize their mental well-being.

Short communication: Five ways UK European Capitals and cities of culture have connected cultural activities with nature and their impacts on health and wellbeing, wider determinants of health and inequality.

Objective: To rapidly synthesise evidence for local practice on what initiatives UK European Capitals and Cities of Culture (UKEUCoCs) have implemented connecting cultural activities with green, blue, or outdoor space (culture-nature initiatives) and their impacts on planetary health outcomes: personal health and wellbeing, wider determinants of health particularly the environment, and existing inequality. Study design: Rapid evidence review. Methods: A rapid review of published articles and evaluation reports. Published articles were identified through database searches (Proquest, OVID, Scopus, Web of Science, MEDLINE) in January-February 2024. Data was extracted directly into a table and findings synthesised narratively by theme. Results: Published evidence about UKEUCoC culture-nature initiatives was limited but five initiative types were identified: 1) growing-focused activities; 2) activities exploring human-nature relationships; 3) targeted nature-based wellbeing activities; 4) activities connecting cultural engagement with environmental activism; and 5) use of outdoor spaces for artworks, performances and festivals. UKEUCoC culture-nature initiatives may contribute to short-term improvements in mental health and wellbeing (confidence, self-esteem, subjective wellbeing), community health (community relations, civic pride), cultural participation, and local environmental quality and use, but risk widening existing inequalities. Co-creating initiatives at hyper-local levels with marginalised groups and trusted Community Champions, active involvement, and creating equitable access to livelihood opportunities may mitigate inequality risks. Conclusions: Evidence is limited but suggests UKEUCoC culture-nature initiatives could positively support planetary health outcomes in the short-term. Equity in these outcomes appears to rely however, on action to ensure the involvement of and sustainable livelihood creation for marginalised groups. It is unclear how outcomes are generated across the initiative types identified, including through interactions between them, where they are implemented. The five initiative types identified in this work could be targeted for further investigation in research and practice on culture-nature initiatives for health more generally, using a complex systems approach to evaluation.

Syndemics in women's health: poverty, social exclusion, and clustering of thrombotic and hemostasis disorders.

A State of the Art lecture titled "Syndemics in Women's Health: Poverty, Social Exclusion and Clustering of Thrombotic and Haemostasis Disorders" was presented at the International Society on Thrombosis and Haemostasis (ISTH) Congress in 2023. Syndemics are characterized by the clustering of specific health conditions in vulnerable populations. These populations become vulnerable as a result of large-scale social, political, and economic factors that influence social determinants of health and increase susceptibility to disease. Vulnerable populations at risk of experiencing a syndemic include those who are subjected to social exclusion and gender- or race-based marginalization. Biological sex (assigned at birth based on physical & genetic differences) and gender identity (the personal sense of ones own gender) have been recognized as important determinants of health outcomes in the context of certain syndemic diseases. Potential examples of syndemic biosocial interactions in the field of thrombosis and hemostasis include the effect of social determinants of health in perpetuating the global maternal mortality crisis and the role of poverty and marginalization in influencing thrombosis risk in socially excluded individuals. Initiatives directed at prevention and treatment of syndemic conditions require multilevel interventions directed at the socio-economic as well as the biological determinants of the disease. In the present article, we describe potential syndemic disease interactions in the field of thrombosis and hemostasis, and we summarize some relevant new data relating to the social determinants of health presented during the 2023 ISTH Congress.

Associations of Financial Strain and Unmet Social Needs with Women's Bladder Health.

OBJECTIVE: Financial strain and unmet social needs are associated with greater risk for lower urinary tract symptoms. Little research has examined financial strain and unmet social needs in relation to the more holistic concept of bladder health. This study utilizes baseline data from RISE FOR HEALTH: A U.S. Study of Bladder Health to examine whether financial strain, unmet social needs, and meeting specific federal poverty level threshold levels are associated with lower urinary tract symptoms and poorer perceived bladder health, well-being, and function. STUDY DESIGN: Participants were 18 years or older, born female or currently identified as a woman, and from the civilian, noninstitutionalized population residing in 50 counties in the United States that included or surrounded nine recruitment centers. Data were collected through mailed or internet-based surveys. To address research questions, the 10-item Lower Urinary Tract Dysfunction Research Network Symptom Index and selected Prevention of Lower Urinary Tract Symptoms Research Consortium bladder health scores were separately regressed on each financial strain, unmet social need, and federal poverty level variable, using linear regression adjusting for covariates (age, race/ethnicity, education, and vaginal parity) and robust variance estimation for confidence intervals. Participants with no missing data for a given analysis were included (range of n=2,564 to 3,170). In separate sensitivity analyses, body mass index, hypertension, and diabetes were added as covariates and missing data were imputed. RESULTS: The mean age of participants was 51.5 years (standard deviation=18.4). Not having enough money to make ends meet, housing insecurity, food insecurity, unreliable transportation, and percent federal poverty levels of 300% or less were consistently associated with more reported lower urinary tract symptoms and poorer perceived bladder health. For example, compared to food secure participants, women who worried that their food would run out at the end of the month had a Lower Urinary Tract Dysfunction Research Network - Symptom Index score that was 3.4 points higher (95% CI: 2.5, 4.3), on average. They also had lower mean scores across different bladder health measures, each assessed using a 100-point scale: global bladder health (-8.2, 95% CI: -10.8,-5.7), frequency (-10.2, 95% CI: -13.8,-6.7), sensation (-11.6, 95% CI: -15.1,-8.2), continence (-13.3, 95% CI: -16.7,-9.9), and emotional impact of bladder health status (-13.2, 95% CI: -16.5,-9.9). Across analyses, associations largely remained significant after additional adjustment for body mass index, hypertension, and diabetes. The pattern of results when imputing missing data was similar to that observed with complete case analysis; all significant associations remained significant with imputation. CONCLUSION: Financial strain and unmet social needs are associated with worse LUTS and poorer bladder health. Longitudinal research is needed to examine whether financial strain and unmet social needs influence the development, maintenance, and worsening of lower urinary tract symptoms; different mechanisms by which financial strain and unmet social needs may impact symptoms; and the degree to which symptoms contribute to financial strain. If supported by etiologic research, prevention research can be implemented to determine whether the amelioration of financial strain and social needs, including enhanced access to preventative care, may promote bladder health across the life course.

Simulating the impact of greenspace exposure on metabolic biomarkers in a diverse population living in San Diego, California: A g-computation application.

Introduction: Growing evidence exists that greenspace exposure can reduce metabolic syndrome risk, a growing public health concern with well-documented inequities across population subgroups. We capitalize on the use of g-computation to simulate the influence of multiple possible interventions on residential greenspace on nine metabolic biomarkers and metabolic syndrome in adults (N = 555) from the 2014-2017 Community of Mine Study living in San Diego County, California. Methods: Normalized difference vegetation index (NDVI) exposure from 2017 was averaged across a 400-m buffer around the participants' residential addresses. Participants' fasting plasma glucose, total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and triglyceride concentrations, systolic and diastolic blood pressure, hemoglobin A1c (%), waist circumference, and metabolic syndrome were assessed as outcomes of interest. Using parametric g-computation, we calculated risk differences for participants being exposed to each decile of the participant NDVI distribution compared to minimum NDVI. Differential health impacts from NDVI exposure by sex, ethnicity, income, and age were examined. Results: We found that a hypothetical increase in NDVI exposure led to a decrease in hemoglobin A1c (%), glucose, and high-density lipoprotein cholesterol concentrations, an increase in fasting total cholesterol, low-density lipoprotein cholesterol, and triglyceride concentrations, and minimal changes to systolic and diastolic blood pressure, waist circumference, and metabolic syndrome. The impact of NDVI changes was greater in women, Hispanic individuals, and those under 65 years old. Conclusions: G-computation helps to simulate the potential health benefits of differential NDVI exposure and identifies which subpopulations can benefit most from targeted interventions aimed at minimizing health disparities.

Precarious employment and mental health in the United States: Results from the Medical Expenditure Panel Survey (MEPS), 2008-2021.

OBJECTIVES: To measure associations between employment precarity and mental health among United States (US) workers. METHODS: This study used data from the US Medical Expenditure Panel Survey for 2008-2021. Multivariable generalized estimating equations were used to measure associations between employment precarity (operationalized as a multi-dimensional exposure) and self-rated mental health after adjusting for relevant confounders. Marginal effects analysis was used to assess potential dose-response relationships between precarity and mental health. RESULTS: Our sample (n = 57,529) was representative of >106 million US workers employed throughout 2008-2021. Compared to those with low levels of employment precarity, those with medium and high levels of precarity had an increased odds of reporting poor/fair mental health (aOR = 1.21; 95% CI = 1.11, 1.32 and 1.51; 95% CI = 1.36, 1.68, respectively). Marginal effects analysis indicated that increasing levels of precarity were associated with an increased probability of reporting poor/fair mental health. CONCLUSIONS: Increasing levels of employment precarity were associated with poor/fair self-rated mental health, findings potentially indicative of a dose-response relationship between the two. These nationally representative findings suggest employment precarity is an important social determinant of mental health. Future research could investigate how best to mitigate the negative effects of precarity on workers' lives and well-being, particularly regarding mental health.

Age, gender and household infrastructural inequality in COVID-19: Contextual analysis of Mamelodi.

BACKGROUND:  Age, gender and household infrastructure are important social determinants affecting health inequalities. This study aims to assess the ways that age and gender of the household head and household infrastructure intersect to create relative advantage and disadvantage in COVID-19 vulnerability. METHODS:  Using household primary care survey data from Mamelodi, Gauteng, headed households were sorted into three risk categories for each of the relevant infrastructural determinants of COVID-19. Bivariate ordinal logistic regression was used to determine the odds of households falling into each risk category. The proportion of high-risk (HR) categories and dwelling types was also calculated. RESULTS:  Households headed by someone ≥ 65 years were less likely to be in all HR categories and more frequently had formal houses. Male-head households were more likely to be HR for water, sanitation and hygiene infrastructure and indoor pollution; however, female-headed households (FHHs) were at higher risk for crowding. In Mamelodi, households headed by ≥ 65 years olds were relatively infrastructurally protected, likely because of pro-equity housing policy, as were FHHs, except for crowding. The care load on FHHs results in their infrastructural protection benefiting more community members, while simultaneously incurring risk. CONCLUSION:  Infrastructural support based on the household head's age and gender could improve targeting and the effectiveness of health interventions. These results demonstrate the importance of a contextual understanding of gender and age inequalities and tailoring public health support based on this understanding.Contribution: This research describes patterns of health-related infrastructural inequality, identifies ways to improve health interventions, and demonstrates the importance of equity-focused policy in an African context.

Building a Systems Map: Applying Systems Thinking to Unhealthy Commodity Industry Influence on Public Health Policy.

BACKGROUND: Unhealthy commodity industries (UCIs) engage in political practices to influence public health policy, which poses barriers to protecting and promoting public health. Such influence exhibits characteristics of a complex system. Systems thinking would therefore appear to be a useful lens through which to study this phenomenon, potentially deepening our understanding of how UCI influence are interconnected with one another through their underlying political, economic and social structures. As such this study developed a qualitative systems map to depict the complex pathways through which UCIs influence public health policy and how they are interconnected with underlying structures. METHODS: Online participatory systems mapping workshops were conducted between November 2021 and February 2022. As a starting point for the workshops, a preliminary systems map was developed based on recent research. Twenty-three online workshops were conducted with 52 geographically diverse stakeholders representing academia, civil society (CS), public office, and global governance organisations (CGO). Analysis of workshop data in NVivo and feedback from participants resulted in a final systems map. RESULTS: The preliminary systems map consisted of 40 elements across six interdependent themes. The final systems map consisted of 64 elements across five interdependent themes, representing key pathways through which UCIs impact health policy-making: (1) direct access to public sector decision-makers; (2) creation of confusion and doubt about policy decisions; (3) corporate prioritisation of commercial profits and growth; (4) industry leveraging the legal and dispute settlement processes; and (5) industry leveraging policy-making, norms, rules, and processes. CONCLUSION: UCI influence on public health policy is highly complex, involves interlinked practices, and is not reducible to a single point within the system. Instead, pathways to UCI influence emerge from the complex interactions between disparate national and global political, economic and social structures. These pathways provide numerous avenues for UCIs to influence public health policy, which poses challenges to formulating a singular intervention or limited set of interventions capable of effectively countering such influence. Using participatory methods, we made transparent the interconnections that could help identify interventions in future work.

Complex Interventions for a Complex System? Using Systems Thinking to Explore Ways to Address Unhealthy Commodity Industry Influence on Public Health Policy.

BACKGROUND: Interventions are needed to prevent and mitigate unhealthy commodity industry (UCI) influence on public health policy. Whilst literature on interventions is emerging, current conceptualisations remain incomplete as they lack considerations of the wider systemic complexities surrounding UCI influence, which may limit intervention effectiveness. This study applies systems thinking as a theoretical lens to help identify and explore how possible interventions relate to one another in the systems in which they are embedded. Related challenges to addressing UCI influence on policy, and actions to support interventions, were also explored. METHODS: Online participatory workshops were conducted with stakeholders with expertise in UCIs. A systems map, depicting five pathways to UCI influence, and the Action Scales Model were used to help participants identify interventions and guide discussions. Codebook thematic analysis was used to analyse the data. RESULTS: Fifty-two stakeholders participated in 23 workshops. Participants identified 27 diverse, interconnected and interdependent interventions corresponding to the systems map's pathways that reduce the ability of UCIs to influence policy. These include, for example, reform policy financing; regulate public-private partnerships (PPPs); reform science governance and funding; frame and reframe the narrative, challenge neoliberalism and gross domestic product (GDP) growth; leverage human rights; change practices on multistakeholder governance; and reform policy consultation and deliberation processes. Participants also identified four potential key challenges to interventions (ie, difficult to implement or achieve; partially formulated; exploited or misused; requires tailoring for context), and four key actions to help support intervention delivery (ie, coordinate and cooperate with stakeholders; invest in civil society; create a social movement; nurture leadership). CONCLUSION: A systems thinking lens revealed the theoretical interdependence between disparate and heterogenous interventions. This suggests that to be effective, interventions need to align, work collectively, and be applied synchronously to different parts of the system, including multiple levels of governance. Importantly, these interventions need to be supported by intermediary actions to be achieved. Urgent action is now required to strengthen healthy alliances and implement interventions.

Structural Racism Conceptualization and Operationalization for Research for the U.S. HIV Epidemic: Findings from a Scoping Review and Implications for Advancing Research for Structural Interventions.

In the U.S., inequities by race/ethnicity in health outcomes, such as in the HIV epidemic, are long standing but have come to the forefront during the COVID-19 pandemic. There is growing recognition of the role of structural racism in racialized health inequities, yet the conceptualization and operationalization of structural racism in HIV research lags. We conducted a scoping review of existing published literature, between 1999-April 2024, conceptualizing and measuring structural racism's impact among people living with or at risk for HIV in the U.S. Our initial search yielded 236 unique articles, which after title and abstract screening yielded ten articles meeting full text review criteria. We then extracted key parameters, such as conceptualization, method of measurement of structural racism, study aims, design, and findings. Three of the articles were qualitative studies that conceptualized structural racism using (1) the social network model, (2) individual and structural intersectionality and (3) critical race theory. Operationalization of structural racism within the seven quantitative studies fell into three categories: (1) structural level, (2) a scale of experiences of racism, including structural racism, and (3) using explanatory demographic factors as downstream measures of the effects of structural racism. The variance in the conceptualization and operationalization of structural racism highlights the different interpretations of structural racism in its applications to the field of HIV research. Given the vast racial/ethnic inequities in HIV, we propose three overarching suggestions for next steps in improving the conduct of research on structural racism in HIV: (1) we must prioritize measuring racism past the individual and interpersonal levels to consider systemic factors at a societal level that manifest as structural racism to improve HIV outcomes in the U.S., (2) consider intergenerational effects of structural racism through the use of longitudinal data, and (3) broaden the agenda of structural racism to incorporate other systems of oppression. Additionally, broadening the scope of funding and inclusion of more researchers and individuals with lived experiences to support structural racism research to drive the scientific agenda and design of structural-level interventions will not only bolster achieving the U.S. Ending the HIV Epidemic goals but will do so by addressing inequities.

The relationship between neighborhood economic deprivation and community-acquired pneumonia related admissions in Maryland.

Introduction: Community-acquired pneumonia (CAP) is a major health concern in the United States (US), with its incidence, severity, and outcomes influenced by social determinants of health, including socioeconomic status. The impact of neighborhood socioeconomic status, as measured by the Distressed Communities Index (DCI), on CAP-related admissions remains understudied in the literature. Objective: To determine the independent association between DCI and CAP-related admissions in Maryland. Methods: We conducted a retrospective study using the Maryland State Inpatient Database (SID) to collate data on CAP-related admissions from January 2018 to December 2020. The study included adults aged 18-85 years. We explored the independent association between community-level economic deprivation based on DCI quintiles and CAP-related admissions, adjusting for significant covariates. Results: In the study period, 61,467 cases of CAP-related admissions were identified. The patients were predominantly White (49.7%) and female (52.4%), with 48.6% being over 65 years old. A substantive association was found between the DCI and CAP-related admissions. Compared to prosperous neighborhoods, patients living in economically deprived communities had 43% increased odds of CAP-related admissions. Conclusion: Residents of the poorest neighborhoods in Maryland have the highest risk of CAP-related admissions, emphasizing the need to develop effective public health strategies beneficial to the at-risk patient population.

Assessing the impact of oral health disease on quality of life in Ecuador: a mixed-methods study.

Introduction: Globally, oral health diseases surpass all other non-communicable diseases in prevalence; however, they are not well studied in underserved regions, where accessibility to dental services and oral health education is disparately worse. In Ecuador, further research is needed to understand such disparities better. We aimed to assess the effect of oral health disease on individuals' quality of life and how social disparities and cultural beliefs shape this. Methods: Individuals 18 or older receiving care at mobile or worksite clinics from May to October 2023 were included. A mixed-methods approach was employed, involving semi-structured interviews, Oral Health-Related Quality of Life (OHRQoL) measures, and extra-oral photographs (EOP). Results: The sample (n = 528) included mostly females (56.25%) with a mean age of 34.4 ± 9.44. Most participants (88.26%) reported brushing at least twice daily, and less than 5% reported flossing at least once per day. The median OHRQoL score was 4 (min-max), significantly higher among individuals ≥40 years old, holding high school degrees, or not brushing or flossing regularly (p < 0.05). Identified barriers to good oral health included affordability, time, and forgetfulness. Participants not receiving care with a consistent provider reported fear as an additional barrier. Participants receiving worksite dental services reported these barriers to be alleviated. Dental providers were the primary source of oral hygiene education. Most participants reported oral health concerns, most commonly pain, decay, dysphagia, and halitosis - consistent with EOP analysis. Discussion: Findings underscore a need for multi-level interventions to advance oral health equity.

Neonatal Encephalopathy is a Complex Phenotype Representing Reproductive and Pregnancy Exposome Effects on the Maternal-Placental-Fetal Triad.

Reproductive, pregnancy, and placental exposomes influence the fetal neural exposome through toxic stressor interplay, impairing the maternal-placental-fetal (MPF) triad. Neonatal encephalopathy represents different clinical presentations based on complex time-dependent etiopathogenetic mechanisms including hypoxia-ischemia that challenge diagnosis and prognosis. Reproductive, pregnancy, and placental exposomes impair the fetal neural exposome through toxic stressor interplay within the MPF triad. Long intervals often separate disease onset from phenotype. Interdisciplinary fetal-neonatal neurology training, practice, and research closes this knowledge gap. Maintaining reproductive health preserves MPF triad health with life-course benefits.

Comparing barriers to early stage diagnosis of hepatocellular carcinoma between safety net hospitals and academic medical centers: An analysis from the United States Safety-Net Collaborative.

BACKGROUND AND OBJECTIVES: Early detection of hepatocellular carcinoma (HCC) is associated with improved survival. However, a greater proportion of patients treated at safety net hospitals (SNHs) present with late-stage disease compared to those at academic medical centers (AMCs). This study aims to identify barriers to diagnosis of HCC, highlighting differences between SNHs and AMCs. METHODS: The US Safety Net Collaborative-HCC database was queried. Patients were stratified by facility of diagnosis (SNH or AMC). Patient demographics and HCC screening rates were examined. The primary outcome was stage at diagnosis (AJCC I/II-"early"; AJCC III/IV-"late"). RESULTS: 1290 patients were included; 50.2% diagnosed at SNHs and 49.8% at AMCs. At SNHs, 44.4% of patients were diagnosed late, compared to 27.6% at AMCs. On multivariable regression, Black race was associated with late diagnosis in both facilities (SNH: odds ratio 1.96, p = 0.03; AMC: 2.27, <0.01). Screening was associated with decreased odds of late diagnosis (SNH: 0.46, p = 0.04; AMC: 0.37, p < 0.01). CONCLUSIONS: Black race was associated with late diagnosis of HCC, while screening was associated with early diagnosis across institutional types. These results suggest socially constructed racial bias in screening and diagnosis of HCC. Screening efforts targeting SNH patients and Black patients at all facilities are essential to reduce disparities.

Nationwide Hearing Loss Trends Over Two Decades.

OBJECTIVES: Hearing loss (HL) is one of the most common chronic health conditions in the United States (US). This study aims to evaluate trends in HL prevalence among US adults over the past two decades. METHODS: Audiometric data of adults from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2018 were analyzed in 2-year intervals to evaluate changes in HL (defined as pure tone average greater than 25 dB in at least one ear) over time in using odds ratios (ORs). Multivariate logistic regression was used to control for age and sex, and linear regression was used to evaluate trends in HL prevalence over time. RESULTS: The study included 13,468 participants. In adult participants (20-69 years old), HL remained stable over time, with some fluctuations ranging from 14.8% to 16.8%. In elderly participants (70-years and older), HL remained stable over time, with some fluctuations ranging from 71.7% to 77.1%. Based on univariate and linear regression analysis, there were no differences in HL rates in the adult and elderly cohorts. Subjects 40-49 years old and adults with education level of less than high school had significant downward trends in HL prevalence over two decades (p < 0.001 and p = 0.029). CONCLUSIONS: HL prevalence may be declining in the adult population when correcting for age and gender; however, there has not been a significant downward trend for the elderly population. HL may be decreasing over time among adults 40-49 years old and with shorter education backgrounds. LEVEL OF EVIDENCE: IV Laryngoscope, 2024.

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.

Social support and frailty progression in community-dwelling older adults.

Objectives: Despite the growing evidence regarding the influence of social factors on frailty in older adults, the effect of social support remains unclear. This study aims to assess the association between social support and frailty progression (transition and incidence) in a sample of community-dwelling older adults. Methods: Using a cohort study design, 1,059 older adults from the Berlin Initiative Study were followed up for 2.1 years. Multinomial and logistic regression analyses were performed to assess the association of social support using Oslo Social Support Scale-3 with frailty transition and incidence, respectively. Gender differences were explored using stratified analyses. Results: At baseline, frailty prevalence in the study population [mean (SD) age 84.3 (5.6) years; 55.8% women] reached 33.1% with 47.0, 29.4 and 23.6% of the participants reporting moderate, strong and poor social support, respectively. Over the follow-up period, social support was not significantly associated with the frailty transition categories in the adjusted model. Conversely, the adjusted logistic regression analysis showed that participants with poor social support had twice the odds of becoming frail compared to those with strong social support (OR 2.07; 95% CI 1.08-3.95). Gender-stratified analyses showed comparable estimates to the main analysis but were statistically non-significant. Discussion: Our study results underpin the role of social factors in frailty incidence and highlight social support as a potential target for frailty-preventing interventions in older adults. Therefore, it is important to adopt a biopsychosocial model rather than a purely biomedical model to understand and holistically improve the health of community-dwelling older adults.

The Impact of Social Deprivation on Anterior Urethral Stricture Recurrence After Urethroplasty - A Trauma and Urologic Reconstructive Network of Surgeons (TURNS) Analysis.

INTRODUCTION AND OBJECTIVES: Several factors influence recurrence after urethral stricture repair. The impact of socioeconomic factors on stricture recurrence after urethroplasty is poorly understood. This study aims to assess the impact that social deprivation, an area-level measure of disadvantage, has on urethral stricture recurrence after urethroplasty. METHODS: We performed a retrospective review of patients undergoing urethral reconstruction by surgeons participating in a collaborative research group. Home zip code was used to calculate Social Deprivation Indices (SDI; 0-100), which quantifies the level of disadvantage across several sociodemographic domains collected in the American Community Survey. Patients without zip code data were excluded from the analysis. The Cox Proportional Hazards model was used to study the association between SDI and the hazard of functional recurrence, adjusting for stricture characteristics as well as age and body mass index. RESULTS: Median age was 46.0 years with a median follow up of 367 days for the 1452 men included in the study. Patients in the fourth SDI quartile (worst social deprivation) were more likely to be active smokers with traumatic and infectious strictures compared to the first SDI quartile. Patients in the fourth SDI quartile had 1.64 times the unadjusted hazard of functional stricture recurrence vs patients in the first SDI quartile (95% CI 1.04-2.59). Compared to anastomotic ± excision, substitution only repair had 1.90 times the unadjusted hazard of recurrence. The adjusted hazard of recurrence was 1.08 per 10-point increase in SDI (95% CI 1.01-1.15, P = .027). CONCLUSIONS: Patient social deprivation identifies those at higher risk for functional recurrence after anterior urethral stricture repair, offering an opportunity for preoperative counseling and postoperative surveillance. Addressing these social determinants of health can potentially improve outcomes in reconstructive surgery.