Supplementary file 1_Longitudinal associations of dynamic transitions of multidimensional health vulnerability with cardiovascular disease risk: evidence from UK Biobank.docx

However, existing HV assessments lack integration and temporal dynamics change. This study identifies the dynamic association between the HV and risk of CVD.</p>Methods<p>This longitudinal cohort study included 16,072 participants from the UK Biobank with HV assessments at baseline (2006–2010) and repeat assessment (2014).

Latent class analysis and latent transition analysis were used to identify HV transition patterns. Cox proportional hazards models were applied to evaluate associations between HV transitions and incident CVD, with follow-up initiated from baseline assessment. Sensitivity analyses included alternative HV transitions classification, exclusion of hypertensive diseases from the composite outcome, and competing risk analyses considering non-CVD death.</p>Results<p>During a median follow-up of 8.9 years, 3,033 incident CVD events were identified.