The Anatomy of Internalising and Cardiometabolic Multimorbidity: A Quantitative Breakdown of Longitudinal Trajectories in British South Asian Populations

The Anatomy of Internalising and Cardiometabolic Multimorbidity: A Quantitative Breakdown of Longitudinal Trajectories in British South Asian Populations

The traditional model of preventive medicine relies on age-based screening thresholds designed around historical, largely European ancestry data. This structural design creates a systematic diagnostic bottleneck for minority demographics who experience accelerated health degradation. Longitudinal data from the Genes & Health study, tracking 23,554 British Bangladeshi and Pakistani participants over a median of 10.2 years, reveals that the intersection of mental health and physical chronic illness operates not as isolated diagnoses, but as a compounding sequence termed Internalising and Cardiometabolic MultiMorbidity (ICM-MM).

The baseline data dismantles the assumption that multimorbidity is exclusively a disease of older age. A healthy 30-year-old British Bangladeshi woman carries an estimated 50% probability of developing either an internalising mental health condition (depression, anxiety, somatoform disorders) or a cardiometabolic condition (hypertension, obesity, type 2 diabetes, chronic kidney disease, dyslipidaemia) by age 40. Furthermore, the probability of developing both concurrently within that ten-year window is 12.5% (a 1 in 8 chance). This accelerated disease timeline exposes a significant mismatch between population-level risk and the current NHS Health Check framework, which begins routine screening at age 40.


The Two-Path Model of Multimorbidity Trajectories

ICM-MM development follows two distinct directional pathways, each dictating a different level of long-term risk for major cardiovascular or renal events (CVR) and non-CVR mortality.

Pathway 1: [Cardiometabolic Initiation] ---> [Internalising Condition] ---> High CVR Acceleration
Pathway 2: [Internalising Initiation]   ---> [Cardiometabolic Condition] ---> Lower Relative CVR Acceleration

The Cardiometabolic-to-Internalising Pathway

In this trajectory, physical pathology serves as the primary gateway. The physiological stress of microvascular damage, insulin resistance, and systemic inflammation combines with the psychological burden of managing a chronic metabolic illness to trigger clinical anxiety or depression. Multi-state modeling indicates that individuals transitioning through this specific sequence in mid-life (centered around age 40) experience the highest 10-year accelerated risk of acute myocardial infarction, stroke, or end-stage renal failure. The initial physical damage creates a fragile physiological foundation that degrades rapidly once mental health comorbidities limit self-care, compliance with medication, and physical mobility.

The Internalising-to-Cardiometabolic Pathway

Conversely, the mental health gateway initiates via early-onset psychological distress. Chronic internalising conditions disrupt the hypothalamic-pituitary-adrenal (HPA) axis, driving sustained cortisol production, autonomic dysfunction, poor sleep architecture, and adverse health behaviors such as smoking. While this pathway still leads to high rates of final ICM-MM, the absolute 10-year risk of major CVR events remains lower than the reverse pathway, because structural macrovascular and renal degradation has had less time to mature prior to the secondary diagnosis.


Sociodemographic and Genetic Risk Profiles

The progression from optimal health to ICM-MM is governed by clear demographic differences, socioeconomic factors, and genetic risks.

  • Gender Divergence: Women demonstrate a higher probability of moving from a healthy baseline to internalising mental health conditions, creating a larger pool entering the internalising-first trajectory. However, upon reaching the dual-diagnosis stage of ICM-MM, men exhibit a significantly higher absolute risk of terminal CVR events.
  • Ethnic and Economic Disparities: British Bangladeshi individuals experience a higher rate of ICM-MM compared to British Pakistani counterparts. This risk is amplified by area-level deprivation and smoking status, which act as compounding factors that speed up the transition from a single chronic illness to full multimorbidity.
  • Genetic Limitations: Higher polygenic risk scores (PRS) for ICM-MM correlate with a higher probability of entering the disease pathway through primary cardiometabolic conditions rather than mental health channels. However, current clinical risk models face a significant limitation: existing PRSs are overwhelmingly derived from genome-wide association studies (GWAS) of European ancestry populations. This introduces an unquantified margin of error when applied to British South Asian cohorts, potentially underestimating true genetic risk.

Systemic Failures in Current Screening Frameworks

The core structural failure in mitigating ICM-MM lies in the chronological architecture of public health interventions. The NHS Health Check assumes a linear relationship between age and metabolic decay, setting its entry point at 40. For demographics experiencing accelerated metabolic aging, this threshold acts as a post-facto assessment rather than a preventive shield.

By the time a high-risk South Asian individual reaches the age-40 screening window, they are often already managing a primary condition, meaning the opportunity for early prevention has passed. The clinical focus must shift from reactive management to early lifestyle and medical intervention in the third decade of life.

The clinical data supports lowering the screening threshold to age 20 or 30 for British South Asian populations. Implementing targeted metabolic and psychological screenings during early adulthood allows clinicians to intervene before the transition from a single illness to full multimorbidity becomes locked in.

KM

Kenji Mitchell

Kenji Mitchell has built a reputation for clear, engaging writing that transforms complex subjects into stories readers can connect with and understand.