Estimating survival in data-driven phenotypes of mental health symptoms and peripheral biomarkers: A prospective study.

ABSTRACT:

Background

Chronic psychological stress has widespread implications, including heightened mortality risk, mental and physical health conditions, and socioeconomic consequences. Stratified precision psychiatry shows promise in mitigating these effects by leveraging clinical heterogeneity to personalize interventions. However, little attention has been given to patient self-report.

Methods

We addressed this by combining stress-related self-report measures with peripheral biomarkers in a latent profile analysis and survival model. The latent profile models were estimated in a representative U.S. cohort (n = 1255; mean age = 57 years; 57% female) and cross-validated in Tokyo, Japan (n = 377; mean age = 55 years; 56% female).

Results

We identified three disti

SUBMITTER: Allende S 

PROVIDER: S-EPMC11263790 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature