Sociodemographic patterns in biomarkers of aging in the Add Health cohort

Datos Bibliográficos

ID5958043
AutoresJennifer Momkus (0000-0002-8905-4878, University of North Carolina at Chapel Hill, autor de correspondencia), A E Aiello (0000-0001-7029-2537, Columbia University), Rebecca Stebbins (0000-0002-3663-1360, Columbia University), Y S Zhang (0000-0002-1290-9305, Columbia University), Kathleen Mullan Harris (0000-0001-9757-1026, University of North Carolina at Chapel Hill)
Año2024
Volumen69
Número2
Páginas57-74
Fecha de publicación2024-04-02
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaBiodemography and Social Biology (JOURNAL)
Identificadores de la revistaISSN: 1948-5565 • E-ISSN: 1948-5573
EditorialInforma UK Limited (PUBLISHER • GB)
DOI10.1080/19485565.2024.2334687
PMID38551453
OpenAlexW4393307943
IdiomaEN
Citas recibidas2
Referencias citadas57

Biomarkers in population health research serve as indicators of incremental physiological deterioration and contribute to our understanding of mechanisms through which social disparities in health unfold over time. Yet, few population-based studies incorporate biomarkers of aging in early midlife, when disease risks may emerge and progress across the life course. We describe the distributions of several biomarkers of inflammation and neurodegeneration and their variation by sociodemographic characteristics using blood samples collected during Wave V of the National Longitudinal Study of Adolescent to Adult Health (ages 33-44 years). Higher mean levels of inflammatory and neurodegenerative biomarkers were associated with greater socioeconomic disadvantage. For example, the neurodegenerative markers, Neurofilament Light Chain and total Tau proteins were higher among lower income groups, though the relationship was not statistically significant. Similarly, proinflammatory marker Tumor Necrosis Factor-α (TNF-α) levels were higher among those with lower education. Significant differences in the mean levels of other proinflammatory markers were observed by race/ethnicity, sex, census region, BMI, and smoking status. These descriptive findings indicate that disparities in biomarkers associated with aging are already evident among young adults in their 30s and attention should focus on age-related disease risk earlier in the life course

Cohort · Developmental psychology · Disease · Environmental health · Ethnic group · Inflammation · Life course approach · Population · Proinflammatory cytokine · Socioeconomic status · Adipokines, Inflammation, and Metabolic Diseases · Birth, Development, and Health · Demography · IL-33, ST2, and ILC Pathways · Medicine · Psychology · Gerontology · Internal Medicine