BACKGROUND: Differences in social and environmental factors contribute to disparities in fatal injury rates. This study assessed the relationship between social vulnerability and homicide and suicide rates across United States counties.
METHODS: County-level age-adjusted homicide and suicide rates for 2016-2020 were linked with data from the Centers for Disease Control and Prevention\'s 2020 Social Vulnerability Index (SVI), a dataset identifying socially vulnerable communities. We conducted negative binomial regressions to examine the association between SVI and homicide and suicide rates, overall and by Census region/division. We mapped county-level data for SVI and homicide and suicide rates in bivariate choropleth maps.
RESULTS: Overall SVI was associated with homicide rates across U.S. counties. While no association was found for overall SVI and suicide rates, Socioeconomic Status and Racial & Ethnic Minority Status domains were associated. The geographic distribution of SVI and homicide and suicide rates varied spatially; notably, counties in the South had the greatest levels of social vulnerability and greatest homicide rates.
CONCLUSIONS: Our findings demonstrate county-level social vulnerability is associated with homicide rates but may be more nuanced for suicide rates. A modified SVI for injury should include additional social and structural determinants and exclude variables not applicable to injuries.
CONCLUSIONS: This study combines the SVI with homicide and suicide data, enabling researchers to examine related social and environmental factors. Modifying the SVI to include relevant predictors could improve injury prevention strategies by prioritizing efforts in areas with high social vulnerability.

OBJECTIVE: Health and social factors show large heterogeneity across regional cultural geographies and influence oral health as well. The purpose of this study is to confirm associations between county-level general health, behaviors, social factors, and oral health indicators and to further analyze the patterns of distribution of oral health indicators across dominant regional cultures in the United States (US) as defined by the American Nations model.
METHODS: We calculated a Lifestyle Health Index (LHI) from the 2023 PLACES database using county-level, age-adjusted health data and merged it with (a) 2020 Social Vulnerability Index (SVI) database, (b) dominant regional cultures from Nationhood Lab\'s American Nations model, (c) dentist visits and teeth lost data from the 2023 PLACES database, and (d) access to dentistry data from the County Health Rankings database.
RESULTS: Correlation coefficients between the LHI (and sub scores), SVI (and sub scores), and dental variables showed strong associations. ANOVA post-hoc test results revealed significant differences for dental visits and teeth lost for LHI, SVI and access to dentists. Prevalence of dental visits and teeth lost showed clear heterogeneity across regional cultures.
CONCLUSIONS: Oral health is strongly linked to lifestyle health factors, social vulnerability, access to dentistry, and cultural norms and belief systems. Within the US, significant heterogeneity exists in the distribution of oral health indicators across dominant regional cultural geographies. Oral health communications and policy solutions focused on health-related behaviors (e.g., tobacco, diet), disease-specific considerations (e.g., diabetes), and the social environment (e.g., poverty, housing) should be tailored to regional cultures rather than a single US-based culture to improve dental care and oral health outcomes.

Heatwaves pose a serious threat and are projected to amplify with changing climate and social demographics. A comprehensive understanding of heatwave exposure to the communities is imperative for the development of effective strategies and mitigation plans. This study explores spatiotemporal characterization of heatwaves across the historically vulnerable communities in Mississippi, United States. We derive multiple heatwave metrics including frequency, duration, and magnitude based on temperature data for urban-specific daytime, nighttime, and day-night combined conditions. Our analysis depicts a rising heatwave trend across all counties, with the most extreme shifts observed in prolonged day-night events lacking overnight relief. We integrate physical heatwave hazards with a socioeconomic vulnerability index to develop an integrated urban heatwave risk index. Integrated metric identifies the counties in northwest Mississippi as heat-prone areas, exhibiting an urgent need to prioritize heat resilience and adaptive strategies in these regions. The compounding urban heatwave and vulnerability risks in these communities highlights an environmental justice imperative to implement equitable policies that protect disadvantaged populations. Although this study is focused on Mississippi, our framework is scalable and can be employed to urban regions globally. This study provides a solid foundation for developing timely heatwave preparedness and mitigation to avert preventable heat-related tragedies as extremes intensify with climate change.

During the first two decades of the twenty-first century, we analyze the expansion of urban land cover, urban heat island (UHI), and urban pollution island (UPI) in the Houston Metropolitan Area (HMA) using land cover classifications derived from Landsat and land/aerosol products from NASA\'s Moderate Resolution Imaging Spectroradiometer. Our approach involves both direct utilization and fusion with in situ observations for a comprehensive characterization. We also examined how social vulnerability within the HMA changed during the study period and whether the synergy of UHI, UPI, and social vulnerability enhances environmental inequalities. We found that urban land cover within the HMA increased by 1,345.09 km2 and is accompanied by a 171.92 (73.93) % expansion of the daytime (nighttime) UHI. While the UPI experienced an overall reduction in particulate pollution, the magnitude of change is smaller compared to the surroundings. Further, the UPI showed localized enhancement in particulate pollution caused by increases in vehicular traffic. Our analysis found that the social vulnerability of the HMA urban regions increased during the study period. Overall, we found that the urban growth during the first two decades of the twenty-first century resulted in a synergy of UHI, UPI, and social vulnerability, causing an increase in environmental inequalities within the HMA.

BACKGROUND: We examined the association between symptoms of anxiety and depression among individuals with long COVID and five social vulnerabilities (expenses, employment, food insufficiency, housing, and insurance).
METHODS: Data from the Census Bureau\'s Household Pulse Survey (HPS) detailing COVID incidence, duration, and symptoms between June 1st and November 14th, 2022 contained versions of the Generalized Anxiety Disorder (GAD-2) and the Patient Health Questionnaire (PHQ-2) questionnaires. Associations between anxiety, depression, and the five social vulnerabilities among respondents from different racial and ethnic groups experiencing long COVID were evaluated using generalized binomial logistic regression. Structural equation models tested whether social vulnerabilities mediated the pathway between race/ethnicity and anxiety/depression.
RESULTS: Blacks, Asians/others, and Hispanics with long COVID were significantly more likely to report anxiety and depression and various social vulnerabilities than Whites. Anxiety among Blacks was significantly associated with difficulty with expenses [Odds Ratio (OR) = 1.743, 95 % Confidence Interval (CI) = 1.739, 1.747], employment (OR = 1.519, 95 % CI = 1.516, 1.523), and housing (OR = 1.192, 95 % CI = 1.19, 1.194). Anxiety among Hispanics was significantly associated with food insufficiency (OR = 1.048, 95 % CI = 1.044, 1.052). Depression among Blacks was significantly associated with trouble with expenses (OR = 1.201, 95 % CI = 1.198, 1.205) and employment (OR = 1.129, 95 % CI = 1.127, 1.132). Mediation analysis showed that the number of social vulnerabilities partially mediated the association between race and anxiety.
CONCLUSIONS: This retrospective study utilized secondary, observational, self-reported data from the HPS. Therefore, results may not be generalizable outside of the context in which they were collected.
CONCLUSIONS: The development of tailored programs for population health should address the differential associations of anxiety and depression with social difficulties among racial and ethnic groups.

UNASSIGNED: Black patients have disproportionately more cases of peripartum cardiomyopathy (PPCM) and more severe disease. To better understand these disparities, we examined the geographic distribution of patients with PPCM by race and evaluated associations between race and social vulnerability. We hypothesized that Black patients with PPCM are more likely than White patients to live in socially vulnerable communities.
UNASSIGNED: A retrospective cohort study of patients with PPCM defined by the National Institutes of Health, National Heart, Lung, and Blood Institute was conducted at a single center from January 2000 to November 2017. The US census tract for each patient was identified, and social vulnerability was assessed using the Centers for Disease Control and Prevention Social Vulnerability Index (SVI). Higher SVI values represent a more vulnerable community. SVI and select subcomponents were compared by self-reported race.
UNASSIGNED: Among 90 patients with PPCM (47 White, 43 Black), the ejection fraction at diagnosis was similar between groups, although Black patients were more likely to have an ejection fraction of ≤40% at 6 to 12 months postpartum. Black race was associated with living in areas of greater social vulnerability; mean SVI was significantly higher among Black individuals than among White individuals (.56 versus .33, P=.0003). Black patients lived in areas with more people living in poverty, higher unemployment, and more single-parent households.
UNASSIGNED: Black patients with PPCM were more likely to have persistent left ventricular dysfunction and live in areas of greater social vulnerability. Strategies to achieve equitable social determinants of health are needed to improve health outcomes in Black patients with PPCM.

BACKGROUND: Brazil has a high prevalence of toxoplasmosis. However, there is a gap in comparing seroprevalence for Toxoplasma gondii across different environments, particularly among pregnant residents of rural and urban areas.
METHODS: The prevalence of IgG and IgM for T. gondii was compared among pregnant residents of the urban, peri-urban, and rural settlement areas in a municipality in southeastern Brazil. Information regarding age and area of residence was compiled from January 2015 to December 2022. Logistic regression analysis was used to assess the age and area of residence as risk factors.
RESULTS: A total of 1614 examinations were recorded, revealing 54.0% seropositivity, which was highest in the rural settlement (61.1%), followed by the peri-urban area (55.9%), and lowest in the urban area (49.2%).
CONCLUSIONS: The high prevalence of IgG and presence of IgM in pregnant residents of rural, peri-urban, and urban areas highlights the significance of the results obtained for strengthening maternal health programs aimed at preventing toxoplasmosis, regardless of their residence.

This study analyzes the self-perception of mental health of socially vulnerable elderly people during the COVID-19 crisis in Brazil. Conducted across all state capitals from February 2021 to October 2023, it included 366 participants living in various conditions such as camps, street situations, slums, and communities. The average age was 66.7 years, with a majority being male (59.0%), of Black or Brown race/color (62.3%), and earning below one minimum wage (36.6%). Findings revealed that older adults in street situations, experiencing psychological manifestations like sleep disturbances due to the pandemic, tended to assess their mental health more negatively. In contrast, older men of white race/color without such manifestations, and those practicing strategies like physical activity or relaxation, were less likely to perceive their mental health as poor. Addressing housing, implementing health strategies, and recognizing sample and regional complexities are crucial interventions for older adults in street situations.

BACKGROUND: There is a growing body of literature that shows geographic social vulnerability, which seeks to measure the resiliency of a community to withstand unforeseen disasters, may be associated with negative outcomes after traumatic injury. For motor vehicle collisions (MVCs) specifically, it is unknown how the resources of a patient\'s home environment may interact with resources of the environment where the crash occurred.
METHODS: We merged publicly available crash data from the state of Michigan with the Michigan Trauma Quality Improvement dataset. A social vulnerability index (SVI) score was calculated for each ZIP code and was then cross-referenced between the location of the MVC (Crash-SVI) and the patient\'s home address (Home-SVI). SVI was divided into quintiles, with higher numbers indicating greater vulnerability. Adjusted logistic regression models using least absolute shrinkage and selection operator for feature selection and regularization were performed sequentially using patient, vehicular, and environmental variables to identify associations between Home-SVI and Crash-SVI, with mortality and injury severity score (ISS) greater than 15 (ISS15).
RESULTS: Between January 2020 and December 2022, a total of 14,706 patients were identified. Most MVCs (75.3% of all patients) occurred in the second through fourth quintiles of SVI. In all cases, Crash-SVI occurred most frequently within the same quintile as the patient\'s Home-SVI. Average crash speed limits showed a significant negative association with increasing SVI. On adjusted logistic regression, there were significantly increased odds of mortality for the fifth quintile of Home-SVI in comparison to the first quintile when adjusted for patient factors; but this lost significance after the addition of vehicular or environmental variables. In contrast, there were decreased odds of ISS15 for the highest quintiles of Crash-SVI in all logistic regression models.
CONCLUSIONS: Geographic social vulnerability markers were associated with lower MVC-associated injury severity, perhaps in part because of the association with lower speed limit in these areas.

UNASSIGNED: The incidence of sudden unexpected infant death (SUID) in the United States has persisted at roughly the same level since the mid-2000s, despite intensive prevention efforts around safe sleep. Disparities in outcomes across racial and socioeconomic lines also persist. These disparities are reflected in the spatial distribution of cases across neighborhoods. Strategies for prevention should be targeted precisely in space and time to further reduce SUID and correct disparities.
UNASSIGNED: We sought to aid neighborhood-level prevention efforts by characterizing communities where SUID occurred in Cook County, IL, from 2015 to 2019 and predicting where it would occur in 2021-2025 using a semiautomated, reproducible workflow based on open-source software and data.
UNASSIGNED: This cross-sectional retrospective study queried geocoded medical examiner data from 2015-2019 to identify SUID cases in Cook County, IL, and aggregated them to \"communities\" as the unit of analysis. We compared demographic factors in communities affected by SUID versus those unaffected using Wilcoxon rank sum statistical testing. We used social vulnerability indicators from 2014 to train a negative binomial prediction model for SUID case counts in each given community for 2015-2019. We applied indicators from 2020 to the trained model to make predictions for 2021-2025.
UNASSIGNED: Validation of our query of medical examiner data produced 325 finalized cases with a sensitivity of 95% (95% CI 93%-97%) and a specificity of 98% (95% CI 94%-100%). Case counts at the community level ranged from a minimum of 0 to a maximum of 17. A map of SUID case counts showed clusters of communities in the south and west regions of the county. All communities with the highest case counts were located within Chicago city limits. Communities affected by SUID exhibited lower median proportions of non-Hispanic White residents at 17% versus 60% (P<.001) and higher median proportions of non-Hispanic Black residents at 32% versus 3% (P<.001). Our predictive model showed moderate accuracy when assessed on the training data (Nagelkerke R2=70.2% and RMSE=17.49). It predicted Austin (17 cases), Englewood (14 cases), Auburn Gresham (12 cases), Chicago Lawn (12 cases), and South Shore (11 cases) would have the largest case counts between 2021 and 2025.
UNASSIGNED: Sharp racial and socioeconomic disparities in SUID incidence persisted within Cook County from 2015 to 2019. Our predictive model and maps identify precise regions within the county for local health departments to target for intervention. Other jurisdictions can adapt our coding workflows and data sources to predict which of their own communities will be most affected by SUID.