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Socioeconomic status across the early life course predicts gene expression signatures of disease and senescence.
Potente, Cecilia; Bodelet, Julien; Himeri, Hira; Cole, Steve; Harris, Kathleen; Shanahan, Michael.
Afiliación
  • Potente C; Erasmus School of Health Policy and Management, Erasmus Universiteit Rotterdam, Rotterdam, The Netherlands potente@eshpm.eur.nl.
  • Bodelet J; Lausanne University Hospital, Lausanne, Switzerland.
  • Himeri H; Jacobs Center for Productive Youth Development, University of Zurich, Zurich, Switzerland.
  • Cole S; University of Zurich, Zurich, Switzerland.
  • Harris K; University of California Los Angeles, Los Angeles, California, USA.
  • Shanahan M; Department of Sociology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
J Epidemiol Community Health ; 2024 Aug 29.
Article en En | MEDLINE | ID: mdl-39209539
ABSTRACT

BACKGROUND:

Socioeconomic status (SES) is associated with many chronic diseases, indicators of senescence and mortality. However, the changing salience of SES in the prediction of adult health is not well understood. Using mRNA-seq abundance data from wave V of the National Longitudinal Study of Adolescent to Adult Health (Add Health), we examine the extent to which SES across the early life course is related to gene expression-based signatures for chronic diseases, senescence and inflammation in the late 30s.

METHODS:

We use Bayesian methods to identify the most likely model of life course epidemiology (critical, sensitive and accumulation models) that characterises the changing importance of parental SES and SES during young (ages 27-30) and mid-adulthood (ages 36-39) in the prediction of the signatures.

RESULTS:

For most signatures, SES is an important predictor in all periods, although parental SES or SES during young adulthood are often the most predictive. For three signatures (components of diabetes, inflammation and ageing), critical period models involving the exclusive salience of SES in young adulthood (for diabetes) or parental SES (for inflammation and ageing) are most probable. The observed associations are likely mediated by body mass index.

CONCLUSION:

Models of life course patterns of SES may inform efforts to identify age-specific mechanisms by which SES is associated with health at different points in life and they also suggest an enhanced approach to prediction models that recognise the changing salience of risk factors.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Epidemiol Community Health Año: 2024 Tipo del documento: Article País de afiliación: Países Bajos Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Epidemiol Community Health Año: 2024 Tipo del documento: Article País de afiliación: Países Bajos Pais de publicación: Reino Unido