Wildfires and climate justice: future wildfire events predicted to disproportionally impact socioeconomically vulnerable communities in North Carolina.

Wildfire events are becoming increasingly common across many areas of the United States, including North Carolina (NC). Wildfires can cause immediate damage to properties, and wildfire smoke conditions can harm the overall health of exposed communities. It is critical to identify communities at increased risk of wildfire events, particularly in areas with that have sociodemographic disparities and low socioeconomic status (SES) that may exacerbate incurred impacts of wildfire events. This study set out to: (1) characterize the distribution of wildfire risk across NC; (2) implement integrative cluster analyses to identify regions that contain communities with increased vulnerability to the impacts of wildfire events due to sociodemographic characteristics; (3) provide summary-level statistics of populations with highest wildfire risk, highlighting SES and housing cost factors; and (4) disseminate wildfire risk information via our online web application, ENVIROSCAN. Wildfire hazard potential (WHP) indices were organized at the census tract-level, and distributions were analyzed for spatial autocorrelation via global and local Moran's tests. Sociodemographic characteristics were analyzed via k-means analysis to identify clusters with distinct SES patterns to characterize regions of similar sociodemographic/socioeconomic disparities. These SES groupings were overlayed with housing and wildfire risk profiles to establish patterns of risk across NC. Resulting geospatial analyses identified areas largely in Southeastern NC with high risk of wildfires that were significantly correlated with neighboring regions with high WHP, highlighting adjacent regions of high risk for future wildfire events. Cluster-based analysis of SES factors resulted in three groups of regions categorized through distinct SES profiling; two of these clusters (Clusters 2 and 3) contained indicators of high SES vulnerability. Cluster 2 contained a higher percentage of younger (<5 years), non-white, Hispanic and/or Latino residents; while Cluster 3 had the highest mean WHP and was characterized by a higher percentage of non-white residents, poverty, and less than a high school education. Counties of particular SES and WHP-combined vulnerability include those with majority non-white residents, tribal communities, and below poverty level households largely located in Southeastern NC. WHP values per census tract were dispersed to the public via the ENVIROSCAN application, alongside other environmentally-relevant data.

Why location matters: Associations between county-level characteristics and availability of NCORP and NCI sites.

BACKGROUND: The majority of patients with cancer seek care at community oncology sites; however, most clinical trials are available at National Cancer Institute (NCI)-designated sites. While the NCI National Cancer Oncology Research Program (NCORP) was designed to address this problem, little is known about the county-level characteristics of NCORP site locations. METHODS: This cross-sectional analysis determined the association between availability of NCORP or NCI sites and county-level characteristic theme percentile scores from the CDC's Social Vulnerability Index themes. Health Resources and Services Administration's Area Health Resource Files were used to determine contiguous counties. We estimated risk ratios and 95% confidence intervals (CI) using modified Poisson regression models to evaluate the association between county-level characteristics and site availability within singular and singular & contiguous counties. RESULTS: Of 3141 included counties, 14% had an NCORP, 2% had an NCI, and 1% had both sites. Among singular counties, for a standard deviation (SD) increase in the racial and ethnic theme score there was a 22% higher likelihood of NCORP site availability (95% CI 1.10-1.36); for a SD increase in the socioeconomic status theme score there was a 24% lower likelihood of NCORP site availability (95% CI 0.67-0.87). Associations were of smaller magnitude when including contiguous counties. NCI sites were located in more vulnerable counties. CONCLUSION(S): NCORP sites were more often in racially diverse counties, and less often in socioeconomically vulnerable counties. Research is needed to understand how clinical trial representation will increase if NCORP sites strategically increase their locations in more vulnerable counties.

Impact of Social Vulnerability on Cardiac Arrest Mortality in the United States, 2016 to 2020.

BACKGROUND: Cardiac arrest is 1 of the leading causes of morbidity and mortality, with an estimated 340 000 out-of-hospital and 292 000 in-hospital cardiac arrest events per year in the United States. Survival rates are lower in certain racial and socioeconomic groups. METHODS AND RESULTS: We performed a county-level cross-sectional longitudinal study using the Centers for Disease Control and Prevention's Wide-Ranging Online Data for Epidemiologic Research multiple causes of death data set between 2016 and 2020 among individuals of all ages whose death was attributed to cardiac arrest. The Social Vulnerability Index is a composite measure that includes socioeconomic vulnerability, household composition, disability, individuals from racial and ethnic minority groups status and language, and housing and transportation domains. We examined the impact of social determinants on cardiac arrest mortality stratified by age, race, ethnicity, and sex in the United States. All age-adjusted mortality rate (cardiac arrest AAMRs) are reported as per 100 000. Overall cardiac arrest AAMR during the study period was 95.6. The cardiac arrest AAMR was higher for men compared with women (119.6 versus 89.9) and for the Black population compared with the White population (150.4 versus 92.3). The cardiac arrest AAMR increased from 64.8 in counties in quintile 1 of Social Vulnerability Index to 141 in quintile 5, with an average increase of 13% (95% CI, 9.8%-16.9%) in AAMR per quintile increase. CONCLUSIONS: Mortality from cardiac arrest varies widely, with a >2-fold difference between the counties with the highest and lowest social vulnerability, highlighting the differential burden of cardiac arrest deaths throughout the United States based on social determinants of health.

Psychosocial risk profiles to address future health emergencies: a country study during the COVID-19 lockdown period in Colombia.

Introduction: The different strategies used worldwide to curb the COVID-19 pandemic between 2020 and 2021 had a negative psychosocial impact, which was disproportionately higher for socially and economically vulnerable groups. This article seeks to identify the psychosocial impact of the confinement period during the COVID-19 pandemic for the Colombian population by identifying profiles that predict the levels of different mental health indicators (feelings of fear, positive emotions or feelings during free time, and work impact) and based on them, characterize the risk factors and protection that allows us to propose guidelines for prevention or recovery from future health emergencies. Methods: This is an observational, cross-sectional, retrospective ex post facto study. Multistage cluster probabilistic sampling and binary logistic regression analysis were used to predict extreme levels of various mental health indicators based on psychosocial indicators of the COVID-19 confinement period and to identify risk and protection factors. Results: A relationship was established between the combination of some of the different psychosocial factors evaluated (this combination being the predictive profile identified) with each of the three main variables: feeling of fear (n = 8,247; R = 0.32; p = 0.00; Poverall = 62.4%; 𝜔overall = 0.25; 1-𝛽overall = 1.00), positive emotions or feelings during free time (n = 6,853; R = 0.25; p = 0.00; Poverall = 59.1%; 𝜔overall = 0.18; 1-𝛽overall = 1.00) and labour impact (n = 4,573; R = 0.47; p = 0.63; Poverall = 70.4%; 𝜔overall = 0.41; 1-𝛽overall = 1.00), with social vulnerability determined by sociodemographic factors that were common in all profiles (sex, age, ethnicity and socioeconomic level) and conditions associated with job insecurity (unemployed, loss of health insurance and significant changes to job's requirements) and place of residence (city). Conclusion: For future health emergencies, it is necessary to (i) mitigate the socio-employment impact from emergency containment measures in a scaled and differentiated manner at the local level, (ii) propose prevention and recovery actions through psychosocial and mental health care accessible to the entire population, especially vulnerable groups, (iii) Design and implement work, educational and recreational adaptation programs that can be integrated into confinement processes.

The associations of food environment with gastrointestinal cancer outcomes in the United States.

BACKGROUND: Social conditions and dietary behaviors have been implicated in the rising burden of gastrointestinal cancers (GIC). The "food environment" reflects influences on a community level relative to food availability, nutritional assistance, and social determinants of health. Using the US Department of Agriculture-Food Environment Atlas (FEA), we sought to characterize the association of food environment on GIC presenting stage and long-term survival. METHODS: Patients diagnosed with GIC between 2013 and 2017 were identified using the SEER database. FEA-scores were based on 282 county-level food security variables, store-restaurant availability, SNAP/WIC enrollment, pricing/taxes, and producer vicinity adjusted-for factors of socioeconomic status, race-ethnicity, transportation access, and comorbidities. Relative FEA rankings across US counties were averaged into a composite score and assigned to patients by county-of-residence. The association of FEA, cancer stage, and survival were analyzed using multiple logistic regression and cox-proportional hazard models relative to White/non-White race/ethnicity. RESULTS: Among 287,148 patients, the most common GIC-sites were colon (n = 97,942, 34%), pancreas (n = 49,785, 17.3%), liver (n = 31,098, 11.0%) and esophagus (n = 16,271, 5.7%). A worse food environment was independently associated with increased odds of late-stage diagnosis (esophageal odds ratio [OR]: 1.03, 95% confidence interval [CI]: 1.01-1.05; hepatic OR: 1.06, 95% CI: 1.03-1.08; pancreatic OR: 1.04, 95% CI: 1.01-1.06) among all patients; in contrast, food environment was associated with colorectal cancer stage among non-White patients only (OR: 1.04, 95% CI: 1.03-1.06). Worse food environment was associated with worse 3-year survival (colon OR: 1.03, 95% CI: 1.01-1.04; hepatic OR: 1.12, 95% CI: 1.08-1.17; gastric OR: 1.07, 95% CI: 1.01-1.13). Similar associations were noted relative to overall survival among the entire cohort (biliary tract hazard ratio [HR]: 1.03, 95% CI: 1.01-1.05; esophageal HR: 1.02, 95% CI: 1.01-1.04; hepatic HR: 1.07, 95% CI: 1.06-1.09; pancreatic HR: 1.04, 95% CI: 1.02-1.05; rectum HR: 1.03, 95% CI: 1.01-1.04; gastric HR: 1.05, 95% CI: 1.03-1.07), as well as among non-White patients (biliary HR: 1.04, 95% CI: 1.01-1.07; colon HR: 1.03, 95% CI: 1.01-1.05; esophageal HR: 1.05, 95% CI: 1.02-1.08; hepatic HR: 1.08, 95% CI: 1.06-1.10) (all p < 0.003). CONCLUSIONS: Food environment was independently associated with late-stage tumor presentation and worse 3-year and overall survival among GIC patients. Interventions to address inequities across communities relative to food environments are needed to alleviate disparities in cancer care.

Assessing social vulnerabilities of salivary gland cancer care, prognosis, and treatment in the United States.

BACKGROUND: Salivary gland cancers (SGC)-social determinants of health (SDoH) investigations are limited by narrow scopes of SGC-types and SDoH. This Social Vulnerability Index (SVI)-study hypothesized that socioeconomic status (SES) most contributed to SDoH-associated SGC-disparities. METHODS: Retrospective cohort of 24 775 SGCs assessed SES, minority-language status (ML), household composition (HH), housing-transportation (HT), and composite-SDoH measured by the SVI via regressions with surveillance and survival length, late-staging presentation, and treatment (surgery, radio-, chemotherapy) receipt. RESULTS: Increasing social vulnerability showed decreases in surveillance/survival; increased odds of advanced-presenting-stage (OR: 1.12, 95% CI: 1.07, 1.17), chemotherapy receipt (OR: 1.13, 95% CI: 1.03, 1.23); decreased odds of primary surgery (0.89, 0.84, 0.94), radiotherapy (0.91, 0.85, 0.97, p = 0.003) for SGCs. Trends were differentially correlated with SES, ML, HH, and HT-vulnerabilities. CONCLUSIONS: Through quantifying SDoH-derived SGC-disparities, the SVI can guide targeted initiatives against SDoH that elicit the most detrimental associations for specific sociodemographics.

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.

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.

Assessing social disparities in inpatient vs. outpatient arthroplasty: a in-state database analysis.

INTRODUCTION: Given the growing emphasis on patient outcomes, including postoperative complications, in total joint arthroplasty (TJA), investigating the rise of outpatient arthroplasty is warranted. Concerns exist over the safety of discharging patients home on the same day due to increased readmission and complication rates. However, psychological benefits and lower costs provide an incentive for outpatient arthroplasty. The influence of social determinants of health disparities on outpatient arthroplasty remains unexplored. One metric that assesses social disparities, including the following individual components: socioeconomic status, household composition, minority status, and housing and transportation, is the Social Vulnerability Index (SVI). As such, we aimed to compare: (1) mean overall SVI and mean SVI for each component and (2) risk factors for total complications between patients undergoing inpatient and outpatient arthroplasty. METHODS: Patients who underwent TJA between January 1, 2022 and December 31, 2022 were identified. Data were drawn from the Maryland State Inpatient Database (SID). A total of 7817 patients had TJA within this time period. Patients were divided into inpatient arthroplasty (n = 1429) and outpatient arthroplasty (n = 6338). The mean SVI was compared between inpatient and outpatient procedures for each themed score. The SVI identifies communities that may need support cause by external stresses on human health based on four themed scores: socioeconomic status; household composition and disability; minority status and language; and housing and transportation. The SVI uses the United States Census data to rank census tracts for each individual theme, as well as an overall social vulnerability score. The higher the SVI, the more social vulnerability, or resources needed to thrive in that area. Multivariate logistic regression analyses were performed to identify independent risk factors for total complications following TJA after controlling for risk factors and patient comorbidities. Total complications included: infection, aseptic loosening, dislocation, arthrofibrosis, mechanical complication, pain, and periprosthetic fracture. RESULTS: Patients who had inpatient arthroplasty had higher overall SVI scores (0.45 vs. 0.42, P < 0.001). The SVI scores were higher for patients who had inpatient arthroplasty for socioeconomic status (0.36 vs. 0.32, P < 0.001), minority status and language (0.76 vs. 0.74, P < 0.001), and housing and transportation (0.53 vs. 0.50, P < 0.001) compared to outpatient arthroplasty, respectively. There was no difference between inpatient and outpatient arthroplasty for household composition and disability (0.41 vs. 0.41, P = 0.99). When controlling for comorbidities, inpatient arthroplasty [Odds Ratio (OR) 1.91, 95% Confidence Interval (CI) 1.23-2.95, P = 0.004], hypertension (OR 2.11, 95% CI 1.23-3.62, P = 0.007), and housing and transportation (OR 2.00, 95% CI 1.17-3.42, P = 0.012) were independent risk factors for total complications. CONCLUSION: Inpatient arthroplasty was associated with increased social disparities across several components of deprivation as well as an independent risk factor total complications following TJA. To the best of our knowledge, this study is the first to examine the negative repercussions of inpatient arthroplasty through the lens of social disparities and can target specific areas for intervention.

Roles of Hospital Type and Community Setting in Rate of Screening for Metabolic Disorders Among Psychiatric Patients.

OBJECTIVE: Globally, rates of metabolic disorders continue to climb, leading to significant disease morbidity and mortality. Individuals with mental illness are particularly prone to obesity, and some medications, such as antipsychotics, may increase the risk for metabolic disorders. The American Psychiatric Association and the American Diabetes Association recommend that patients taking antipsychotic medications receive regular screening for metabolic disorders. This study examined hospital and community factors associated with screening these patients for such disorders. METHODS: The authors combined Centers for Medicare and Medicaid Services (CMS) hospital-level data on screening for metabolic disorders among patients with an antipsychotic prescription with community data, including urbanization classification, social vulnerability, and metabolic disease presence and risk factors. Data were merged at the county level and evaluated with a nonparametric multivariate regression model. RESULTS: The CMS data set included 1,497 U.S. hospitals with data on screening for metabolic disorders among patients with an antipsychotic prescription. Screening rates varied by type of facility; acute care and critical access hospitals outperformed freestanding psychiatric facilities (p<0.001). No other variables examined in the multivariate model were associated with screening for metabolic disorders. CONCLUSIONS: Despite common resource limitations, screening for metabolic disorders may be driven more by logistics and less by time, finances, or a community's primary care network. Identifying the specific logistical challenges of freestanding psychiatric facilities could aid in the development of targeted interventions to improve the rates of screening for and treatment of not only metabolic disorders but also other common comorbid conditions.

High-Grade Glioma Recurrence Is Delayed in Hispanic Patients despite Severe Social Vulnerability: A Retrospective Cohort Study.

High-grade gliomas (HGGs; WHO grade III or IV) are the most common and lethal brain malignancy. Patients of Hispanic ethnicity are diagnosed with HGGs earlier than non-Hispanic patients, but they exhibit improved HGG survival following diagnosis. Either environmental or biological factors could explain this survival benefit. We aimed to determine if post-diagnosis advantages would still be present in Hispanic patients with high social vulnerability, an environmental condition predisposing patients to poor oncologic outcomes. HGG outcomes were retrospectively assessed in a cohort of 22 Hispanic patients and 33 non-Hispanic patients treated for HGGs from 2015 to 2020 at a single institution that serves a highly vulnerable region. Compared to non-Hispanic patients, Hispanic patients demonstrated higher social vulnerability index scores (96.8 + 0.7 vs. 76.3 + 4.6; *** p = 0.0002) and a 14-month longer interval between diagnosis and recurrence (19.7 + 5.9 (n = 13) vs. 5.5 + 0.6 months (n = 19); ** p = 0.001). In only those patients with more aggressive IDH-1 wildtype tumors (glioblastoma), Hispanic ethnicity still related to a longer time before recurrence (15.8 + 5.9 months (n = 9); 5.5 + 0.6 months (n = 18); * p = 0.034), and in a multivariate analysis, Hispanic ethnicity predicted time-to-recurrence (* p = 0.027) independent of patient age, functional status, MGMT gene methylation, or treatments received. Therefore, environmental factors, specifically social vulnerability, did not obscure the post-diagnosis benefits associated with Hispanic ethnicity. In future experiments, basic studies should be prioritized which investigate the cellular or genetic mechanisms underlying this ethnicity effect on HGG progression in the hopes of improving care for these devastating malignancies.

Geographic, Sociodemographic, and Clinical Factors Associated With Parental Self-Efficacy in Pediatric Patients With Hearing Loss.

OBJECTIVE: To identify geographic, sociodemographic, and clinical factors associated with parental self-efficacy in a diverse cohort of deaf or hard-of-hearing (DHH) children. STUDY DESIGN: Cross-sectional study. SETTING: Tertiary children's hospital. METHODS: Four hundred forty parents of DHH children aged 0 to 17 completed the 25-item Scale of Parental Involvement and Self-Efficacy (SPISE) survey from 2014 to 2022. Residential addresses were geocoded and assigned Area Deprivation Index and Social Vulnerability Index rankings, and univariable and multivariable analyses were conducted using sociodemographic and clinical variables, including sex, race/ethnicity, insurance type, survey language, age at the survey, comorbidities, newborn hearing screening results, and hearing loss laterality and severity. RESULTS: Compared to English and Spanish-speaking parents, Chinese-speaking parents were associated with overall lower parental self-efficacy and involvement (regression coefficient = -0.518, [-0.929, -0.106]), Cohen's d = 0.606) and lower scores on items related to their ability to affect multiple aspects of their child's development and expression of thoughts as well as competency in checking and putting on their child's sensory device. Across univariable and multivariable analyses, besides Chinese language, all other sociodemographic, clinical, and geographic variables were not associated with SPISE score. CONCLUSION: To achieve the best patient outcomes, care teams can use the SPISE to evaluate parental self-efficacy and provide targeted support to parents at risk for having lower knowledge and confidence scores about critical skills necessary to facilitate their child's auditory access and language development. Notably, this study found similar reports of parental efficacy across various sociodemographic, clinical, and geographic variables but significantly lower SPISE scores in Chinese-speaking families.

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.

Social vulnerability and cardiovascular risk factors in adolescents.

BACKGROUND: Social vulnerability can influence in the development of cardiovascular risk factors in adolescents (CRF). For this reason, the objective of our study was to evaluate the presence of CRF in adolescents, according to social vulnerability. METHODS: This is a cross-sectional study with 517 adolescents of both sexes, from 10 to 19 years of age, classified into 2 groups by social vulnerability, according to socioeconomic characteristics collected by means of questionnaires, where adolescents who did not have access to drinking water, sewage network, and adequate per capita income were classified as vulnerable. Anthropometric, biochemical, and blood pressure data were evaluated. Level of physical activity was assessed by an adapted questionnaire, and food intake was assessed by a 3-day food record. Independent T, Mann-Whitney, and χ2 tests were used, according to the scale of measurement of the variables, on the statistical program SPSS, version 25, at a significance level of 5%. RESULTS: Adolescents had median age of 14 (11 to 15) years; 58.4% were female; 32.4% were overweight, and 52.4% were physically inactive in leisure. Mean consumption of ultra-processed food was observed to account for 45.0% of calorie intake. Adolescents classified as vulnerable had lower weight, body mass index, waist circumference, hip circumference, and neck circumference when compared to non-vulnerable adolescents. Both groups had cholesterol concentrations above the normal level. Non-vulnerable adolescents had higher triglyceride concentrations, higher alcohol consumption, and lower fiber intake compared to vulnerable adolescents. CONCLUSIONS: Adolescents with social vulnerability are less likely to have cardiovascular risk factors.

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.

Mental health among adolescents exposed to social inequality in Latin America and the Caribbean: a scoping review.

Background and objective: Adolescents from Latin America and the Caribbean grow up in a context of social inequality, which diminishes their well-being and leads to impaired emotional-cognitive development. To understand the problem, it is important to synthesize the available research about it. This study aims to explore the knowledge about adolescents' mental health in Latin America and the Caribbean exposed to social inequality. Methods: A systematic scoping review was conducted encompassing a search in five databases (Medline, CINAHL, PsycINFO, Scopus, and LILACS) in June 2022. Articles of various typologies were included without time limit. After two rounds of screening, relevant data were manually extracted and synthesized into self-constructed themes using thematic analysis. Results: Out of 8,825 retrieved records, 42 papers were included in the final review, with a predominance of quantitative approaches. The synthesis revealed two main analytical themes: (a) defining social inequality, wherein intersecting inequalities produce discrimination and determine conditions for social vulnerability; (b) social inequality and mental health, which highlights the association between socio-structural difficulties and emotional problems, amplifying vulnerability to mental ill health and poor mental health care. Conclusion: The scientific evidence reveals that social inequality is related to impaired well-being and mental ill health on the one hand and a lack of access to mental health care on the other hand.

[Positive aging-How does it work? : Contribution of resilience to the prevention of depressive disorders in old age]. / Positives Altern ­ Wie geht das? : Beitrag von Resilienz zur Prävention depressiver Erkrankungen im Alter.

BACKGROUND: Although the prevalence of depressive disorders in old age is high, many older people succeed in staying healthy despite age-related stressors. The individual resilience or mental power of resistance can explain these differences. OBJECTIVE: It is shown how resilience factors or strategies of healthy aging can be used for the primary prevention of depressive disorders in old age. MATERIAL AND METHODS: The article summarizes the practically relevant age-specific aspects of resilience obtained through a narrative literature search and evaluates the relevant state of knowledge, also with respect to the consecutive development of primary preventive measures to avoid depressive disorders. RESULTS: Individual psychological strategies for promoting resilience include "stay active", and "mindfulness towards positive things", social strategies "remain socially connected" and "acceptance of support options". In addition to this individual level, which aims at every single person, the social dimension of resilience also includes strategies that start at the social level. Above all, this includes the esteem of older people in society as well as improved opportunities for participation. CONCLUSION: Age-specific aspects of resilience can be specifically used for the prevention of depressive disorders in old age. They enable a framework to establish resource-promoting and activating interventions, to counteract the deficit perspective on ageing. At the same time, there are clear limits to individual prevention and resilience. The responsibility cannot be seen solely for each individual but above all social structures and framework conditions must enable successful implementation in old age.

County Mammogram Uptake can be Predicted from Social Determinants of Health, but Patterns Do Not Hold for Individual Patients.

Purpose: The objective of this study is to describe patterns in barriers to breast cancer screening uptake with the end goal of improving screening adherence and decreasing the burden of mortality due to breast cancer. This study looks at social determinants of health and their association to screening and mortality. It also investigates the extent that models trained on county data are generalizable to individuals. Methods: County level screening uptake and age adjusted mortality due to breast cancer are combined with the Centers for Disease Controls Social Vulnerability Index (SVI) to train a model predicting screening uptake rates. Patterns learned are then applied to de-identified electronic medical records from individual patients to make predictions on mammogram screening follow through. Results: Accurate predictions can be made about a county's breast cancer screening uptake with the SVI. However, the association between increased screening, and decreased age adjusted mortality, doesn't hold in areas with a high proportion of minority residents. It is also shown that patterns learned from county SVI data have little discriminative power at the patient level. Conclusion: This study demonstrates that social determinants in the SVI can explain much of the variance in county breast cancer screening rates. However, these same patterns fail to discriminate which patients will have timely follow through of a mammogram screening test. This study also concludes that the core association between increased screening and decreased age adjusted mortality does not hold in high proportion minority areas. Objective: The objective of this study is to describe patterns in social determinants of health and their association with female breast cancer screening uptake, age adjusted breast cancer mortality rate and the extent that models trained on county data are generalizable to individuals.

Socially vulnerable patients are more likely to fail outpatient management of symptomatic cholelithiasis.

BACKGROUND: Symptomatic cholelithiasis is a common surgical problem, with many patients requiring multiple gallstone-related emergency department (ED) visits before cholecystectomy. The Social Vulnerability Index (SVI) identifies vulnerable patient populations. This study aimed to assess the association between social vulnerability and outpatient management of symptomatic cholelithiasis. METHODS: Patients with symptomatic cholelithiasis-related ED visits were identified within our health system from 2016 to 2022. Clinical outcomes data were merged with SVI census track data, which consist of 4 SVI subthemes (socioeconomic status, household characteristics, racial and ethnic minority status, and housing type and transportation). Multivariate analysis was used for statistical analysis. RESULTS: A total of 47,292 patients presented to the ED with symptomatic cholelithiasis, of which 6103 patients (13.3 %) resided in vulnerable census tract regions. Of these patients, 13,795 (29.2 %) underwent immediate cholecystectomy with a mean time to surgery of 35.1 h, 8250 (17.4 %) underwent elective cholecystectomy at a mean of 40.6 days from the initial ED visit, and 2924 (6.2 %) failed outpatient management and returned 1.26 times (range, 1-11) to the ED with recurrent biliary-related pain. Multivariate analysis found social vulnerability subthemes of socioeconomic status (odds ratio [OR], 1.29; 95 % CI, 1.09-1.52) and racial and ethnic minority status (OR, 2.41; 95 % CI, 2.05-2.83) to be associated with failure of outpatient management of symptomatic cholelithiasis. CONCLUSION: Socially vulnerable patients are more likely to return to the ED with symptomatic cholelithiasis. Policies to support this vulnerable population in the outpatient setting with timely follow-up and elective cholecystectomy can help reduce delays in care and overutilization of ED resources.

Influence of social vulnerability index on Medicare beneficiaries' expenditures upon discharge.

Medicare beneficiaries' healthcare spending varies across geographical regions, influenced by availability of medical resources and institutional efficiency. We aimed to evaluate whether social vulnerability influences healthcare costs among Medicare beneficiaries. Multivariable regression analyses were conducted to determine whether the social vulnerability index (SVI), released by the Centers for Disease Control and Prevention (CDC), was associated with average submitted covered charges, total payment amounts, or total covered days upon hospital discharge among Medicare beneficiaries. We used information from discharged Medicare beneficiaries from hospitals participating in the Inpatient Prospective Payment System. Covariate adjustment included demographic information consisting of age groups, race/ethnicity, and Hierarchical Condition Category risk score. The regressions were performed with weights proportioned to the number of discharges. Average submitted covered charges significantly correlated with SVI (ß = 0.50, p < 0.001) in the unadjusted model and remained significant in the covariates-adjusted model (ß = 0.25, p = 0.039). The SVI was not significantly associated with the total payment amounts (ß = -0.07, p = 0.238) or the total covered days (ß = 0.00, p = 0.953) in the adjusted model. Regional variations in Medicare beneficiaries' healthcare spending exist and are influenced by levels of social vulnerability. Further research is warranted to fully comprehend the impact of social determinants on healthcare costs.