Slow-wave brain connectivity predicts executive functioning and group belonging in socially vulnerable individuals.

Important efforts have been made to describe the neural and cognitive features of healthy and clinical populations. However, the neural and cognitive features of socially vulnerable individuals remain largely unexplored, despite their proneness to developing neurocognitive disorders. Socially vulnerable individuals can be characterised as socially deprived, having a low socioeconomic status, suffering from chronic social stress, and exhibiting poor social adaptation. While it is known that such individuals are likely to perform worse than their peers on executive function tasks, studies on healthy but socially vulnerable groups are lacking. In the current study, we explore whether neural power and connectivity signatures can characterise executive function performance in healthy but socially vulnerable individuals, shedding light on the impairing effects that chronic stress and social disadvantages have on cognition. We measured resting-state electroencephalography and executive functioning in 38 socially vulnerable participants and 38 matched control participants. Our findings indicate that while neural power was uninformative, lower delta and theta phase synchrony are associated with worse executive function performance in all participants, whereas delta phase synchrony is higher in the socially vulnerable group compared to the control group. Finally, we found that delta phase synchrony and years of schooling are the best predictors for belonging to the socially vulnerable group. Overall, these findings suggest that exposure to chronic stress due to socioeconomic factors and a lack of education are associated with changes in slow-wave neural connectivity and executive functioning.

Environmental Justice Index and adverse pregnancy outcomes.

BACKGROUND: The Environmental Justice Index is a tool released by the Centers for Disease Control and Prevention that quantifies and ranks the environmental burden and social vulnerability of each census tract. Racial and ethnic disparities in adverse pregnancy outcomes are well established. The relative contributions of individual (person-level) and environmental (neighborhood-level) risk factors to disease prevalence remain poorly understood. OBJECTIVE: This study aimed to determine whether the Environmental Justice Index is associated with adverse pregnancy outcomes after adjustment for individual clinical and sociodemographic risk factors. STUDY DESIGN: This was a retrospective cross-sectional study of all patients who delivered a singleton newborn at ≥23 weeks of gestation between January 2019 and February 2022 at 7 hospitals within a large academic health system in New York. Patients were excluded if their home address was not available, if the address could not be geocoded to a census tract, or if the census tract did not have corresponding Environmental Justice Index data. Patients were also excluded if they had preexisting diabetes or hypertension. For patients who had multiple pregnancies during the study period, only the first pregnancy was included for analysis. Clinical and demographic data were obtained from the electronic medical record. Environmental Justice Index score, the primary independent variable, ranges from 0 to 1. Higher Environmental Justice Index scores indicate communities with increased cumulative environmental burden and increased social vulnerability. The primary outcome was adverse pregnancy outcome, defined as the presence of ≥1 of any of the following conditions: hypertensive disorders of pregnancy, gestational diabetes, preterm birth, fetal growth restriction, low birthweight, small for gestational age newborn, placental abruption, and stillbirth. Multivariable logistic regression was performed to investigate the relationship between Environmental Justice Index score and adverse pregnancy outcome, adjusting for potential confounding variables, including body mass index group, race and ethnicity group, advanced maternal age, nulliparity, public health insurance, and English as the preferred language. RESULTS: A total of 65,273 pregnancies were included for analysis. Overall, adverse pregnancy outcomes occurred in 37.6% of pregnancies (n=24,545); hypertensive disorders of pregnancy (13.4%) and gestational diabetes (12.2%) were the most common adverse pregnancy outcome conditions. On unadjusted analysis, the strongest associations between Environmental Justice Index score and individual adverse pregnancy outcome conditions were observed for stillbirth (odds ratio, 1.079; 95% confidence interval, 1.025-1.135) and hypertensive disorders of pregnancy (odds ratio, 1.052; 95% confidence interval, 1.042-1.061). On multivariable logistic regression, every 0.1 increase in Environmental Justice Index score was associated with 1.4% higher odds of adverse pregnancy outcome (adjusted odds ratio, 1.014; 95% confidence interval, 1.007-1.021). The strongest associations with adverse pregnancy outcomes were observed with well-established clinical and social risk factors, including class 3 obesity (adjusted odds ratio, 1.710; 95% confidence interval, 1.580-1.849; reference: body mass index <25 kg/m2) and certain race and ethnicity groups (reference: non-Hispanic White), particularly Asian and Pacific Islander (adjusted odds ratio, 1.817; 95% confidence interval, 1.729-1.910), and non-Hispanic Black (adjusted odds ratio, 1.668; 95% confidence interval, 1.581-1.760) people. CONCLUSION: Environmental Justice Index score is positively associated with adverse pregnancy outcomes, and most strongly associated with stillbirth and hypertensive disorders of pregnancy. Geospatial analysis with Environmental Justice Index may help to improve our understanding of health inequities by identifying neighborhood characteristics that increase the risk of pregnancy complications.

Effect of Maternal Race, Residential Rurality, and Social Vulnerability on Critical Congenital Heart Defect Risk.

The development of a congenital heart defect (CHD) is multifactorial, with many cases having an unknown etiology. This study explored whether maternal race and lived environment were associated with an infant being born with a critical CHD. A cross-sectional, case-control design was conducted utilizing secondary data analysis. The CHD group (N = 199) consisted of infants diagnosed with a critical CHD within the first year of life identified from hospital databases. The non-CHD group (N = 548) was a random sample of infants selected from the state's vital statistics database. The primary outcome was a critical CHD diagnosis. Maternal race, residential rurality, and the Social Vulnerability Index (SVI) were assessed for associations with a critical CHD using bivariate and multilevel regression models. Bivariate findings reported significance among residential rurality (p < 0.001), SVI ranking overall (p = 0.017), and SVI by theme (theme 1 p = 0.004, theme 2 p < 0.001, theme 3 p = 0.007, and theme 4 p = 0.049) when comparing infants with and without a critical CHD diagnosis. Results of multilevel logistic regression analyses further identified living in a rural residential area compared to urban areas (OR = 7.32; p < 0.001) as a predictor for a critical CHD diagnosis. The findings of lived environmental level associations provides information needed for continued investigation as the burden of a critical CHD continues to impact families, suggesting further research efforts are needed to improve health disparities.

Relationship Between Alexithymia, Smartphone Addiction, and Psychological Distress Among University Students: A Multi-country Study.

Objectives: Increasing dependence on smartphones results in the appearance of psychological problems, especially among young people. This study aims to determine the rates of alexithymia and its relationship with smartphone addiction and psychological distress in university students. Methods: A total of 2616 students (mean age = 22.5±3.5 years; 73.1% female) from universities in Egypt, Oman, and Pakistan were included in a cross-sectional and comparative study conducted through a web survey during the COVID-19 pandemic from October to December 2021. The following scales were used: Toronto Alexithymia Scale (TAS-20), Depression Anxiety Stress Scale (DASS-21), and Smartphone Addiction Scale-Short Version (SAS-SV). The survey also included questions related to sociodemographic and smartphone usage patterns.

Analyzing the association between social vulnerability indexes and surgically underserved areas in the Inland Empire.

Background: The United States lacks equitable surgical access, prompting us to investigate whether there is an inverse relationship between Social Vulnerability Indices and the number of surgeons in a census tract, using the Inland Empire as a model. Methods: The Centers for Disease Control's (CDC) SVI 2018 database, composed of 823 census tracts, was compared against demographics of 1008 surgeons, from the American Medical Association's (AMA) 2018 Physician Masterfile. Analysis was performed via Spearman's bivariate and multiple regression. Results: An inverse relationship exists between surgeon number and overall social vulnerability (ρ = -0.266 [95 % CI -0.330 to -0.199], p < .001), and between surgeon number and each category of social vulnerability: Socioeconomic (ρ = -0.345 [95 % CI -0.0405 to -0.281], p < .001), Household Composition and Disability (ρ = -0.121 [95 % CI -0.190 to -0.051], p < .001), Minority Status and Language (ρ = -0.0317 [95 % CI -0.379 to -0.252], p < .001), and Housing Type and Transportation (ρ = -0.093 [95 % CI -0.153 to -0.023], p = .005). Multiple regression analysis revealed that the following were associated with a higher number of surgeons: higher "Per Capita Income" (B = 0.000151 [95 % CI 0.000079 to 0.000223], t(820) = 4.104, p < .001), larger Daytime Population (B = 0.000143 [95 % CI 0.000072 to 0.000214]; t(820) = 3.956, p < .001), larger Total Population (B = -0.013 [95 % CI -0.022 to -0.003]; t(820) = -2.672, p = .008), and smaller number of Persons aged 17 and younger (B = -0.005 [95 % CI -0.008 to -0.001]; t(820) = -2.794, p = .005). Conclusions: This study concludes that social vulnerability is predictive of, and significantly linked to, differences in surgical access and continues to advocate for research into understanding the surgeon's role in both individual and population health. Key message: Our work demonstrates that the number of surgeons in a census tract is inversely proportional to the census tract's overall Social Vulnerability Indices. Thus, this research can serve to educate the public, physicians, and other healthcare providers about the importance of incorporating social determinants of health into the construction of healthcare policy and practice, as well as the importance of continued funding for local and national social service programs as a means to alleviate specific health inequities, such as language and transportation.

Community Socioeconomic Status, Acute Cardiovascular Hospitalizations, and Mortality in Medicare, 2003 to 2019.

BACKGROUND: Socioeconomically disadvantaged communities in the United States disproportionately experience poor cardiovascular outcomes. Little is known about how hospitalizations and mortality for acute cardiovascular conditions have changed among Medicare beneficiaries in socioeconomically disadvantaged and nondisadvantaged communities over the past 2 decades. METHODS: Medicare files were linked with the Centers for Disease Control and Prevention's social vulnerability index to examine age-sex standardized hospitalizations for myocardial infarction, heart failure, ischemic stroke, and pulmonary embolism among Medicare fee-for-service beneficiaries ≥65 years of age residing in socioeconomically disadvantaged communities (highest social vulnerability index quintile nationally) and nondisadvantaged communities (all other quintiles) from 2003 to 2019, as well as risk-adjusted 30-day mortality among hospitalized beneficiaries. RESULTS: A total of 10 942 483 Medicare beneficiaries ≥65 years of age were hospitalized for myocardial infarction, heart failure, stroke, or pulmonary embolism (mean age, 79.2 [SD, 8.7] years; 53.9% female). Although age-sex standardized myocardial infarction hospitalizations declined in socioeconomically disadvantaged (990-650 per 100 000) and nondisadvantaged communities (950-570 per 100 000) from 2003 to 2019, the gap in hospitalizations between these groups significantly widened (adjusted odds ratio 2003, 1.03 [95% CI, 1.02-1.04]; adjusted odds ratio 2019, 1.14 [95% CI, 1.13-1.16]). There was a similar decline in hospitalizations for heart failure in socioeconomically disadvantaged (2063-1559 per 100 000) and nondisadvantaged communities (1767-1385 per 100 000), as well as for ischemic stroke, but the relative gap did not change for both conditions. In contrast, pulmonary embolism hospitalizations increased in both disadvantaged (146-184 per 100 000) and nondisadvantaged communities (153-184 per 100 000). By 2019, risk-adjusted 30-day mortality was similar between hospitalized beneficiaries from socioeconomically disadvantaged and nondisadvantaged communities for myocardial infarction, heart failure, and ischemic stroke but was higher for pulmonary embolism (odds ratio, 1.10 [95% CI, 1.01-1.20]). CONCLUSIONS: Over the past 2 decades, hospitalizations for most acute cardiovascular conditions decreased in both socioeconomically disadvantaged and nondisadvantaged communities, although significant disparities remain, while 30-day mortality is now similar across most conditions.

An Application of Social Vulnerability Index to Infant Mortality Rates in Ohio Using Geospatial Analysis- A Cross-Sectional Study.

BACKGROUND: Ohio ranks 43rd in the nation in infant mortality rates (IMR); with IMR among non-Hispanic black infants is three times higher than white infants. OBJECTIVE: To identify the social factors determining the vulnerability of Ohio counties to IMR and visualize the spatial association between relative social vulnerability and IMR at county and census tract levels. METHODS: The social vulnerability index (SVICDC) is a measure of the relative social vulnerability of a geographic unit. Five out of 15 social variables in the SVICDC were utilized to create a customized index for IMR (SVIIMR) in Ohio. The bivariate descriptive maps and spatial lag model were applied to visualize the quantitative relationship between SVIIMR and IMR, accounting for the spatial autocorrelation in the data. RESULTS: Southeastern counties in Ohio displayed highest IMRs and highest overall SVIIMR; specifically, highest vulnerability to poverty, no high school diploma, and mobile housing. In contrast, extreme northwestern counties exhibited high IMRs but lower overall SVIIMR. Spatial regression showed five clusters where vulnerability to low per capita income in one county significantly impacted IMR (p = 0.001) in the neighboring counties within each cluster. At the census tract-level within Lucas county, the Toledo city area (compared to the remaining county) had higher overlap between high IMR and SVIIMR. CONCLUSION: The application of SVI using geospatial techniques could identify priority areas, where social factors are increasing the vulnerability to infant mortality rates, for potential interventions that could reduce disparities through strategic and equitable policies.

Medical insurance, vulnerability to poverty, and wealth inequality.

Background: China has made remarkable achievements in alleviating poverty under its current poverty standards. Despite these immense successes, the challenge of consolidating these achievements remains. In reality, health risks are among the significant factors causing rural households to fall into poverty, and medical insurance is the significant factor mitigating household vulnerability to poverty. Therefore, alleviating or guarding against households falling into poverty is essential. Methods: This paper establishes a multi-equilibrium model that incorporates heterogeneous health risks and medical insurance. Through parameter calibration and value function iteration, numerical solutions are derived. Results: Heterogeneous health risks significantly increase poverty vulnerability and wealth inequality in rural households. Medical insurance, through its investment incentives and loss compensation effects, efficiently mitigates these issues, especially benefiting those in poorer health. Furthermore, the dual-slanted compensation policy efficiently mitigates the adverse effects of "reverse redistribution." Conclusion: Medical insurance effectively mitigates household vulnerability to poverty and wealth inequality. Government departments must establish health records for residents. By recognizing variations in health conditions, these departments can provide households with poorer health conditions with a higher medical expense compensation ratio. In addition, the government should further focus medical expense reimbursements toward households on the cusp of escaping poverty to ensure that they are not plunged back (or further) into poverty due to medical expenses.

Disparities in Social Vulnerability and Premature Mortality among Decedents with Hepatitis B, United States, 2010-2019.

BACKGROUND: Current US hepatitis B mortality rates remain three times higher than the national target. Mortality reduction will depend on addressing hepatitis B disparities influenced by social determinants of health. OBJECTIVES: This study aims to describe characteristics of hepatitis B-listed decedents, which included US birthplace status and county social vulnerability attributes and quantify premature mortality. METHODS: We conducted a cross-sectional analysis of 17,483 hepatitis B-listed decedents using the 2010-2019 US Multiple-Cause-of-Death data merged with the county-level Social Vulnerability Index (SVI). Outcomes included the distribution of decedents according to US birthplace status and residence in higher versus lower death burden counties by sociodemographic characteristics, years of potential life lost (YPLL), and SVI quartiles. RESULTS: Most hepatitis B-listed decedents were US-born, male, and born during 1945-1965. Median YPLL was 17.2; 90.0% died prematurely. US-born decedents were more frequently White, non-college graduates, unmarried, and had resided in a county with < 500,000 people; non-US-born decedents were more frequently Asian/Pacific Islander, college graduates, married, and had resided in a county with ≥ 1 million people. Higher death burden (≥ 20) counties were principally located in coastal states. US-born decedents more frequently resided in counties in the highest SVI quartile for "Household Characteristics" and "Uninsured," whereas non-US-born decedents more frequently resided in counties in the highest SVI quartile for "Racial/Ethnic Minority Status" and "Housing Type/Transportation." CONCLUSION: This analysis found substantial premature hepatitis B mortality and residence in counties ranked high in social vulnerability. Successful interventions should be tailored to disproportionately affected populations and the social vulnerability features of their geographic areas.

Neuropsychological Stimulation Program for Children from Low Socioeconomic Backgrounds: Study Protocol for a Randomized Controlled Trial.

BACKGROUND: Guatemala remains one of the poorest countries in Central America and suffers from high rates of social inequality and violence. In addition to the negative impact that two years without attending school has had on Guatemalan children due to the consequences of the COVID-19 pandemic, this unfavourable socioeconomic context poses a risk to children's emotional and cognitive development. This work presents a protocol for implementing a cognitive and emotional stimulation program aimed at increasing the academic performance of these children and consequently improving their quality of life. METHODS: The protocol proposes the implementation of a randomized controlled trial to assess the efficacy of a 24-session-long stimulation program. It targets the cognitive functions of attention, language, executive functions, and social cognition, using the digital neurorehabilitation platform NeuronUP. The participants (n = 480) will be randomly assigned to an Experimental or Control group. Pre- and post-intervention assessments will be carried out, together with a follow-up in the next academic year, in which both groups will change roles. Results will be compared for the first and second years, looking for differences in academic and cognitive performance between groups. DISCUSSION: Mid- and long-term outcomes are still unknown, but effective interventions based on this protocol are expected to facilitate the following benefits for participants: (1) improved cognitive and emotional development; (2) improved academic performance; (3) improved well-being. We expect to create a validated neuropsychological stimulation program that could be applied in similar socioeconomically disadvantaged contexts around the world to help these children improve their life chances.

Comparative study for coastal aquifer vulnerability assessment using deep learning and metaheuristic algorithms.

Coastal aquifer vulnerability assessment (CAVA) studies are essential for mitigating the effects of seawater intrusion (SWI) worldwide. In this research, the vulnerability of the coastal aquifer in the Lahijan region of northwest Iran was investigated. A vulnerability map (VM) was created applying hydrogeological parameters derived from the original GALDIT model (OGM). The significance of OGM parameters was assessed using the mean decrease accuracy (MDA) method, with the current state of SWI emerging as the most crucial factor for evaluating vulnerability. To optimize GALDIT weights, we introduced the biogeography-based optimization (BBO) and gray wolf optimization (GWO) techniques to obtain to hybrid OGM-BBO and OGM-GWO models, respectively. Despite considerable research focused on enhancing CAVA models, efforts to modify the weights and rates of OGM parameters by incorporating deep learning algorithms remain scarce. Hence, a convolutional neural network (CNN) algorithm was applied to produce the VM. The area under the receiver-operating characteristic curves for OGM-BBO, OGM-GWO, and VMCNN were 0.794, 0.835, and 0.982, respectively. According to the CNN-based VM, 41% of the aquifer displayed very high and high vulnerability to SWI, concentrated primarily along the coastline. Additionally, 32% of the aquifer exhibited very low and low vulnerability to SWI, predominantly in the southern and southwestern regions. The proposed model can be extended to evaluate the vulnerability of various coastal aquifers to SWI, thereby assisting land use planers and policymakers in identifying at-risk areas. Moreover, deep-learning-based approaches can help clarify the associations between aquifer vulnerability and contamination resulting from SWI.

Assessment and solutions for vulnerability of urban rail transit network based on complex network theory: A case study of Chongqing.

As a typical complex network system, the operating environment of rail transit network (RTN) is complex and demanding. This study aims to accurate assess the weaknesses and vulnerability of RTN, which is crucial for ensuring its smooth operation. Taking Chongqing Rail Transit (CRT) as an example, this study developed a network topology model using the spatial L method and analyzed the network structure characteristics, along with the importance of key nodes under different indicators, based on complex network theory. Additionally, this study analyzed the geographical spatial distribution characteristics of nodes based on the topography and urban spatial structure of Chongqing. Then, this study classified the nodes in the RTN according to basic topological indicators, namely degree, betweenness centrality, network efficiency, and passenger flow volume (PFV). The results indicated six cluster of nodes, reflecting the variability in node vulnerability concerning overall influence (providing alternative paths, reducing path length), regional aggregation capacity, and transportation capacity. Finally, this study proposed targeted management strategies for different clusters of nodes and their respective geographical locations, providing necessary references for rational planning, safety protection, and sustainable construction of RTN.

The effect of the local economic context and local public services on financial satisfaction among youth in European cities.

The post-2008 economic recovery period has seen varying degrees of improvement in the well-being of young individuals across different countries, regions, and cities of the EU. This study contributes to the literature on the geography of well-being by examining the impact of urban economic contexts on the subjective well-being of youth in Europe, a topic that has received limited attention so far. Specifically, we investigate how the local economic context has affected financial satisfaction among the young (15-35 age group) in European cities during the recovery period after the economic crisis. We study whether living in a city with better opportunities in the labor market, on the housing market, or with better local services (e.g., education or health care) affect financial satisfaction among the young. We carried out multilevel analysis of financial satisfaction among young adults on data from the Quality of Life in European Cities survey (years 2012, 2015, 2019), which asks about aspects of quality of life among a representative sample of the population in a large number of cities in EU Member States. Overall, the results suggest that a better labor market context (where it is in general easier to find a job) has a statistically significant positive effect on financial satisfaction among the young. Our results also show that satisfaction with the financial situation among young adults is significantly higher in cities with a higher quality of local social services. On the other hand, we have found only small (and statistically non-significant) contextual effect related to the local housing market.

Local sources of vulnerability to climate change and armed conflicts in East Africa.

While socioeconomic and institutional factors are crucial in explaining the onset and evolution of conflicts, recent research suggests that climate change is a further indirect driver acting as a "threat multiplier". This paper focuses on the concept of vulnerability to both climate change and conflicts to explain why some locations are more likely to engage in armed conflicts than others in the presence of a similar level of exposure to climatic changes. In particular, by means of a Spatial Autoregressive Model, we identify a set of local-specific vulnerability factors that increase conflict risk in East Africa. We employ a georeferenced database with a resolution of 25 × 25 km, covering the period 1997-2016. Results from our analysis provide some interesting insights: first, climate change does not increase conflict risk per se, but only in the presence of pre-existing vulnerabilities. Second, resource access and socioeconomic factors play a key role in driving the climate-conflict nexus especially in urban areas. In particular, vulnerability is increased whenever power is not distributed in such a way as to ensure an equitable distribution of resources. Overall, our findings suggest that, by addressing vulnerability factors that prevent adaptive capacity and an equitable distribution of resources, societies may benefit in terms of both diminished conflict risk and alleviation of climate change impacts.

Association Between Social Vulnerability and Streptococcus pneumoniae Antimicrobial Resistance in US Adults.

BACKGROUND: Growing evidence indicates antimicrobial resistance disproportionately affects individuals living in socially vulnerable areas. This study evaluated the association between Streptococcus pneumoniae (SP) antimicrobial resistance (AMR) and the CDC/ATSDR Social Vulnerability Index (SVI) in the United States. METHODS: Adult patients ≥ 18 years with 30-day nonduplicate SP isolates from ambulatory/hospital settings from January 2011-December 2022 with zip codes of residence were evaluated across 177 facilities in the BD Insights Research Database. Isolates were identified as SP AMR if they were non-susceptible to ≥ 1 antibiotic class (macrolide, tetracycline, extended-spectrum cephalosporins, or penicillin). Associations between SP AMR and SVI score (overall and themes) were evaluated using generalized estimating equations with repeated measurements within county to account for within-cluster correlations. RESULTS: Of 8,008 unique SP isolates from 574 US counties across 39 states, the overall proportion of AMR was 49.9%. A significant association between socioeconomic status (SES) theme and SP AMR was detected with higher SES theme SVI score (indicating greater social vulnerability) associated with greater risk of AMR. On average, a decile increase of SES, indicating greater vulnerability, was associated with a 1.28% increased risk of AMR (95% confidence interval [CI], 0.61%, 1.95%; P=0.0002). A decile increase of household characteristic score was associated with a 0.81% increased risk in SP AMR (95% CI,0.13%, 1.49%; P=0.0197). There was no association between racial/ethnic minority status, housing type and transportation theme, or overall SVI score and SP AMR. CONCLUSIONS: SES and household characteristics were the SVI themes most associated with SP AMR.

Racial disparities among mild stroke survivors: predictors of home discharge from a retrospective analysis.

BACKGROUND: Half of all strokes are classified as mild, and most mild stroke survivors are discharged home after their initial hospitalization without any post-acute rehabilitation despite experiencing cognitive, psychosocial, motor, and mobility impairments. OBJECTIVES: To investigate the demographic and clinical characteristics of mild stroke survivors and their association with discharge location. METHODS: This is a retrospective analysis of mild stroke survivors from 2015-2023 in an academic medical center. Demographic characteristics, clinical measures, and discharge locations were obtained from the electronic health record. The Social Vulnerability Index was used to measure the community vulnerability. Associations between variables and discharge location were examined using bivariate logistic regression analysis. RESULTS: There were 2,953 mild stroke survivors included in this study. The majority of participants were White (65.46%), followed by Black (19.40%). Black stroke survivors and individuals with higher social vulnerability had a higher proportion of discharges to skilled nursing facilities (p = 0.001). Black patients and patients with high vulnerability in housing type and transportation were less likely to be discharged home. CONCLUSIONS: Mild stroke survivors have a high rate of home discharge, potentially because less severe stroke symptoms have a reduced need for intensive care. Racial disparities in discharge location were evident, with Black stroke survivors experiencing higher rates of institutionalized care and lower likelihood of being discharged home compared to White counterparts, emphasizing the importance of addressing these disparities for equitable healthcare delivery and optimal outcomes.

Association between social vulnerability index and admission urgency for transcatheter aortic valve replacement.

Background: Transcatheter aortic valve replacement (TAVR) are not offered equitably to vulnerable population groups. Adequate levels of insurance may narrow gaps among patients with higher social vulnerability index (SVI). Among a national population of individuals with commercial or Medicare insurance, we sought to determine whether SVI was associated with urgency of receipt of TAVR for aortic stenosis. Methods and results: Using Optum's de-identified Clinformatics Data Mart Database (CDM), we identified admissions for TAVR with aortic stenosis between January 2018 and March 2022. Admission urgency was identified by CDM claims codes. SVI was cross-referenced to patient zip codes and grouped into quintiles. Generalized linear mixed effects models were used to predict the probability of a TAVR admission being urgent based on SVI quintiles, adjusting for patient and hospital-level covariates. Results: Among 6680 admissions for TAVR [median age 80 years (interquartile range 75-85), 43.9 % female], 8.5 % (n = 567) were classified as urgent. After adjusting for patient and hospital-level variables, there were no significant differences in the odds of urgent admission for TAVR according to SVI quintiles [OR 5th (greatest social vulnerability) vs 1st quintile (least social vulnerability): 1.29 (95 % CI: 0.90-1.85)]. Conclusions: Among commercial or Medicare beneficiaries with aortic stenosis, SVI was not associated with admission urgency for TAVR. To clarify whether cardiovascular care delivery is improved across SVI with higher paying beneficiaries, future investigation should identify whether relationships between SVI and TAVR urgency vary for Medicaid beneficiaries compared to commercial beneficiaries.

Access to child developmental assessment services in culturally and linguistically diverse metropolitan Sydney: a retrospective cohort analysis.

BACKGROUND: Despite the increasing prevalence of neurodevelopmental disorders (NDD), data regarding access to child development services have remained limited globally. Long wait times are a major barrier to developmental assessments, impacting on care and outcomes. The aim is to retrospectively analyse the demographic profile and prioritisation of patients seen at a child developmental assessment service (CDAS) in a vulnerable region of Sydney, and explore factors affecting wait times. METHODS: Data was collated and analysed for 2354 patients from 2018 to 2022. Socio-Economic Indexes for Areas (SEIFA) were collated from the Australian Bureau of Statistics. Descriptive statistics were used for demographic data and various statistical methods were used to analyse the relationships and impact of factors likely to affect wait lists. RESULTS: The median age was 51 months (IQR41-61) and males comprised 73.7% of the cohort. 64% of children were from culturally and linguistically diverse backgrounds (CALD) and 47% lived in the most disadvantaged suburbs. The median wait time was 302.5 days (IQR175-379) and 70% of children were seen within 12 months. CALD patients and children over 5-years had shorter wait times. Most children with Global Developmental Delay (GDD) were from the lowest four SEIFA deciles and waited longer for an appointment. 42.6% were seen within the priority allocated time or sooner. Children with ASD and/or severe GDD were prioritised to be seen earlier. Overall, the study could not demonstrate any difference in the wait times according to the prioritisation groups. CONCLUSION: This study provides insights into the profile, prioritisation processes and wait lists of children seen by CDAS in South Western Sydney with high rates of social vulnerability and presents an argument to discuss benchmarking targets with service providers. It identifies the need to prioritise children living in suburbs with socioeconomic disadvantage and refine prioritisation and data collection processes to improve wait times.

Integrated SEAWAT model and GALDIT method for dynamic vulnerability assessment of coastal aquifer to seawater intrusion.

Seawater intrusion (SI) has become a global issue exacerbated by intense anthropogenic activities and climate change. It is imperative to seek a synergistic strategy to reconcile environmental and economic benefits in the coastal regions. However, the intricate SI process and data scarcity present formidable challenges in dynamically assessing the coastal groundwater vulnerability. To address the challenge, this study proposed a novel framework that integrates the existing vulnerability assessment method (GALDIT) and variable-density groundwater model (SEAWAT). The future scenarios from 2019 to 2050 were investigated monthly under climate change (SSP1-2.6, SSP2-4.5, SSP3-7.0 and SSP5-8.5) and human activities (80 % and 50 % of current groundwater abstraction) in Longkou city, China, a typical coastal region subject to extensive SI, compared with the status quo in 2018. Results indicated that by 2050, the high vulnerability area, is in a narrow buffer within 1.2 km from the shoreline and exhibits minor changes while the salt concentration here increased by about 2700 mg/L compared with the current situation. The moderate vulnerability zone expands by about 30 km2, and the low vulnerable area decreases proportionally. The groundwater over-abstraction is identified as a more critical factor compared to the regional precipitation under climate change. When groundwater abstraction is reduced to 80 % of the current scale, the expansion rate of the moderate-vulnerable area slows down significantly, with an expansion area of only 18 km2 by 2050. Further reducing groundwater abstraction to 50 % of the current scale shifts the evolution trend of the medium-vulnerable area from expansion to contraction, with the area shrinking by about 11 km2 by 2050. The integrated vulnerability assessment framework can be applied not only in the similar coastal regions but also provides insights into other natural hazards.

Impact of social vulnerability on comorbid COVID-19 and acute myocardial infarction mortality in the United States.

The trajectory of several cardiovascular diseases (CVD), including acute myocardial infarction (AMI), has been adversely impacted by COVID-19, resulting in a worse prognosis. The Social Vulnerability Index (SVI) has been found to affect certain CVD outcomes. In this cross-sectional analysis, we investigated the association between the SVI and comorbid COVID-19 and AMI mortality using the CDC databases. The SVI percentile rankings were divided into four quartiles, and age-adjusted mortality rates were compared between the lowest and highest SVI quartiles. Univariable Poisson regression was utilized to calculate risk ratios. A total of 5779 excess deaths and 1.17 excess deaths per 100,000 person-years (risk ratio 1.62) related to comorbid COVID-19 and AMI were attributable to higher social vulnerability. This pattern was consistent across the majority of US subpopulations. Our findings offer crucial epidemiological insights into the influence of the SVI and underscore the necessity for targeted therapeutic interventions.