Background: Social variables are correlates of mortality. A number of social variables were used by the Centers for Disease Control and Prevention (CDC) to create a Social Vulnerability Index (SVI). SVI has been used as a correlate of health status. Age-adjusted mortality rates have been higher in Mississippi than in other states. Within Mississippi, the Delta region has had higher mortality. To test the hypothesis that social vulnerability was associated with mortality rate within the state, we examined SVI of counties in Mississippi as related to mortality from all causes in 2016-2020.
Methods: The CDC/ATSDR SVI ranks each census tract on 16 social factors, including poverty, lack of vehicle access, and crowded housing, and groups them into four related themes. Using CDC Wonder, we gathered data analyzing age-adjusted rate of death from all causes (AAR) in Mississippi Counties from 2016 to 2020, combined (reporting the death rate per 100,000 persons). Descriptive statistics were computed for each variable. Pearson correlation analysis, bivariable and multivariable regression analysis was done using Microsoft Excel version 16.77. The dependent variable was AAR and independent variables were for themes from the SVI.
Results: AAR varied greatly amongst counties in Mississippi. Higher AAR was seen in northwestern areas of Mississippi. The county with the lowest AAR (730 per 100,000 persons) had only half the AAR of the county with the highest AAR (1313.3 per 100,000 persons). The association of SVI THEME 1 (socioeconomic status) with AAR in Mississippi was positive. Linear regression analysis showed a coefficient of 203.5, 95 % CI 111.9-295.0, p = 0. 0.0000305. R square was 0.20. The addition of the following themes added little to the variation in AAR explained: SVI THEME 2 (household characteristics), SVI THEME 3 (racial and ethnic minority status), and SVI THEME 4 (housing type/transportation).
Conclusion: Socioeconomic status explained a fifth of the variation in AAR among Mississippi counties in 2016-2020.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.jnma.2024.05.003 | DOI Listing |
J Urban Health
January 2025
Department of Environmental Medicine and Climate Science, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, Box 1057, New York, NY, 10029, USA.
Chronological age is not an accurate predictor of morbidity and mortality risk, as individuals' aging processes are diverse. Phenotypic age acceleration (PhenoAgeAccel) is a validated biological age measure incorporating chronological age and biomarkers from blood samples commonly used in clinical practice that can better reflect aging-related morbidity and mortality risk. The heterogeneity of age-related decline is not random, as environmental exposures can promote or impede healthy aging.
View Article and Find Full Text PDFJ Craniofac Surg
October 2024
Department of Surgery, Division of Plastic and Reconstructive Surgery, Yale School of Medicine, New Haven, CT.
Objective: While studies have shown that access to facial feminization surgery can be restricted by financial and geographic limitations, there is a lack of information on the impact of surgery on the most vulnerable patients. Therefore, this study assessed the impact of social vulnerability and neighborhood socioeconomic disadvantage on patient-reported outcomes after facial feminization surgery.
Methods: Patients were surveyed pre and postoperatively using the FACE-Q Aesthetics Questionnaire and geo-coded using home addresses to obtain social vulnerability index (SVI) and Area Deprivation Index scores.
J Arthroplasty
November 2024
Department of Orthopaedic Surgery, Northwestern University, Chicago, Illinois.
Background: Racial disparities exist in the utilization of total hip arthroplasties (THAs). The social vulnerability index (SVI), which measures geographic-level disadvantage and includes themes, such as socioeconomic status, minority status, and language, may partially explain disparities in THA use. Our objectives were to determine the association of the composite SVI with THA use for (1) White Medicare beneficiaries, (2) Black Medicare beneficiaries, and (3) the difference in THA use between White and Black beneficiaries.
View Article and Find Full Text PDFOncologist
November 2024
Division of Oncology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7305 United States.
Background: In a convenience sample of women scheduled for chemotherapy for early-stage breast cancer, we investigated associations of the Center for Disease Control and Prevention's neighborhood-level social vulnerability index (SVI) with pretreatment demographics and patient-reported outcome (PRO) measures (health behavior, function and quality of life, treatment toxicities during chemotherapy).
Methods: The SVI Overall score is comprised of 4 themes: socioeconomic, household composition, minority status/language, and household type/transportation, with scores ranging from 0 = lowest to 1 = highest vulnerability neighborhoods. Participant SVI scores were derived from zip codes listed in the patient's address within the electronic medical record (EMR).
Am J Perinatol
October 2024
Center for Women's Reproductive Health, University of Alabama at Birmingham, Birmingham Alabama.
Objective: Identifying underlying social risk factors for neonatal intensive care unit (NICU) admission is important for designing interventions to reduce adverse outcomes. We aimed to determine whether a patient's exposure to community-level stressors as measured by the social vulnerability index (SVI) is associated with NICU admission.
Study Design: Retrospective cohort study (2014-2018) of patients delivering a liveborn ≥ 22 weeks' gestation at a quaternary care center.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!