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. Social Vulnerability Index (SVI) is a composite index accounting for different facets of the social, economic, and demographic environment grouped into four themes: socioeconomic status, household composition and disability, minority status and language, and housing and transportation. We aim to assess the concurrent and combined associations of the four SVI themes on PhenoAgeAccel and the differential effects on disadvantaged groups. We use electronic health records data from 31,913 patients from the Mount Sinai Health System (116,952 person-years) and calculate PhenoAge for years with available laboratory results (2011-2022). PhenoAge is calculated as a weighted linear combination of lab results, and PhenoAgeAccel is the differential between PhenoAge and chronological age. A decile increase in the mixture of SVI dimensions was associated with an increase of 0.23 years (95% CI 0.21, 0.25) in PhenoAgeAccel. The socioeconomic status dimension was the main driver of the association, accounting for 61% of the weight. Interaction models revealed a more substantial detrimental association for women and racial and ethnic minorities with differences in leading SVI themes. These findings suggest that neighborhood-level social vulnerability increases the biological age of its residents, increasing morbidity and mortality risks. Socioeconomic status has the larger detrimental role among the different facets of social environment.
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http://dx.doi.org/10.1007/s11524-024-00948-7 | 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 PDFEnviron Res
January 2025
Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA; The Department of Geography and Environmental Development, Ben-Gurion University of the Negev, Beer Sheva, Israel.
The challenge of reconstructing air temperature for environmental applications is to accurately estimate past exposures even where monitoring is sparse. We present XGBoost-IDW Synthesis for air temperature (XIS-Temperature), a high-resolution machine-learning model for daily minimum, mean, and maximum air temperature, covering the contiguous US from 2003 through 2023. XIS uses remote sensing (land surface temperature and vegetation) along with a parsimonious set of additional predictors to make predictions at arbitrary points, allowing the estimation of address-level exposures.
View Article and Find Full Text PDFSoc Sci Med
January 2025
Department of Epidemiology, University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, MI, 48109-2029, USA.
Persistent racial disparities in low birth weight (LBW) in the United States may be better understood through the adoption of a life course perspective that considers differential exposure and vulnerability of Black and White women to socioeconomic position across generations. Using a multigenerational dataset of singleton birth certificates from South Carolina from 1989 to 2020 linked along the maternal line, we constructed intergenerational social mobility trajectories of grandmaternal and maternal education and compared unadjusted and adjusted associations between trajectories and LBW among Black and White women. We found that White women were more likely to be upwardly mobile, and Black women to be downwardly mobile.
View Article and Find Full Text PDFBlood Adv
January 2025
Mayo Clinic, Rochester, Minnesota, United States.
Although social determinants of health (SDoH) investigations have shown limited analyses of socioeconomic and race-ethnic status on certain hematologic malignancies, the impact of factors beyond those across a fuller scope of hematologic cancers remains unknown. The Social Vulnerability Index (SVI), a tool for assessing varied US-census derived sociodemographic factors, allows the specific quantification of SDoH in dynamic, regional contexts for their associations with hematologic-malignancy inequities. To assess the summative influence of varied SDoH-factors on hematologic malignancy outcomes and discern which SDoH-factors contributed the largest associations towards disparities 796,005 adults with hematologic malignancies between 1975-2017 were identified for this retrospective cohort study.
View Article and Find Full Text PDFJ Acquir Immune Defic Syndr
December 2024
Department of Community Health and Social Sciences, CUNY Graduate School of Public Health and Health Policy, New York, NY.
Introduction: Efforts to improve pre-exposure prophylaxis (PrEP) uptake among gay men, transgender women, and Black cisgender women are evident across the United States, responding to epidemiologic data showing a disproportionate HIV burden in these communities. However, transgender men and other transmasculine people who have sex with men (TMSM)-those assigned female at birth who identify otherwise and have sex with cisgender men-are often excluded from these statistics. This community has unique vulnerabilities and prevention needs.
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