Genetic and sociodemographic factors associated with trajectories of physical and mental health multimorbidity in a South Asian cohort in the UK: A multistate modelling analysis

09 Jul 20265 min read0 viewsJournal Feed

GIST (Key Takeaways)

by Daniel Stow, Ruby S. M. Tsang, Ioanna K. Katzourou, Qinqin Huang, Miriam Samuel, Megan L. Wood, Jack F.
G. Underwood, Genes and Health Research Team, The LIfespaN multimorbidity research Collaborative (LINC) , Rupert A. Payne, James T. R. Walters, Nicholas J.
Timpson, Inês Barroso, Hilary C. Martin, Peter A. Holmans, Marianne B. M. van den Bree, Rohini Mathur, Sarah Finer Background UK South Asian populations are at high risk of physical and mental health multimorbidity, which means they live with multiple long-term conditions.
The life course emergence of multimorbidity, its underlying aetiology, and consequences for future health and mortality have yet to be studied in this population. Methods and findings We studied Internalising (depression, anxiety, somatoform disorders) and Cardiometabolic (hypertension, obesity, type 2 diabetes, chronic kidney disease, dyslipidaemia) MultiMorbidity (ICM-MM): the lifetime occurrence of ≥1 internalising mental health condition AND ≥1 cardiometabolic condition in a longitudinal cohort of Genes and Health study participants with linked genetic and health data from 1st April 1997–24th November 2024.

Clinical Editorial

PLOS Medicine published a clinical update in Research Highlights on 09 Jul 2026.

The item focuses on Genetic and sociodemographic factors associated with trajectories of physical and mental health multimorbidity in a South Asian cohort in the UK: A multistate modelling analysis.

Review the original article for the full source wording and details.