Social Vulnerability and Biological Aging in New York City: An Electronic Health Records-Based Study.

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 p...

Descripción completa

Detalles Bibliográficos
Publicado en:Journal of Urban Health Vol. 102; no. 2; pp. 240 - 250
Autores principales: Knobel, Pablo, Colicino, Elena, Kloog, Itai, Litke, Rachel, Lane, Kevin, Federman, Alex, Mobbs, Charles, Yitshak Sade, Maayan
Formato: Artículo
Publicado: Springer Nature Apr2025
Materias:
Acceso en línea:Ver este registro en EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=184745566&site=ehost-live
header:
  @attributes:
    shortDbName: ssf
    uiTerm: 184745566
    longDbName: Social Sciences Full Text (H.W. Wilson)
    uiTag: AN
  controlInfo:
    bkinfo:
    jinfo:
      jid:
        10993460
        GMF
      jtl: Journal of Urban Health
      issn: 10993460
      maglogo: N
    pubinfo:
      dt: Apr2025
      vid: 102
      iid: 2
      pid: 237
      pub: Springer Nature
    artinfo:
      ui:
        184745566
        10.1007/s11524-024-00948-7
      ppf: 240
      ppct: 10
      formats:
        fmt:
          – @attributes:
              type: T
          – @attributes:
              type: P
              size: 950KB
      tig:
        atl: Social Vulnerability and Biological Aging in New York City: An Electronic Health Records-Based Study.
      aug:
        au:
          Knobel, Pablo
          Colicino, Elena
          Kloog, Itai
          Litke, Rachel
          Lane, Kevin
          Federman, Alex
          Mobbs, Charles
          Yitshak Sade, Maayan
        affil:
          https://ror.org/04a9tmd77 Department of Environmental Medicine and Climate Science, Icahn School of Medicine at Mount Sinai, Box 1057, 1 Gustave L. Levy Place, 10029, New York, NY, USA
          https://ror.org/04a9tmd77 Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, Friedman Brain Institute, New York, NY, USA
          https://ror.org/05qwgg493 Department of Environmental Health, Boston University School of Public Health, Boston, MA, USA
          https://ror.org/04a9tmd77 Division of General Internal Medicine, Icahn School of Medicine, New York, NY, USA
      su:
        Age
        Medical sciences
        Socioeconomic factors
        Health equity
        Electronic health records
      sug:
        subj:
          Age
          Medical sciences
          Socioeconomic factors
          Health equity
          Electronic health records
      keyword:
        Biological aging
        Disparities
        Medical and Health Sciences Public Health and Health Services
        New York City
        Social vulnerability
        Biological aging
        Disparities
        Medical and Health Sciences Public Health and Health Services
        New York City
        Social vulnerability
      ab: 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.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
    refInfo:
    copyright:
      @attributes:
        flag: N
    holdings:
      @attributes:
        islocal: N