The cardiometabolic ageing-cardiovascular disease axis: A 32-year European study
Horia Iuga1, Mehmet Ali Balcı2, Iulia Cristina Iuga3
1Faculty of Medicine, Iuliu Hațieganu University of Medicine and Pharmacy, 400012, Cluj-Napoca, Romania.
Background:
Cardiometabolic ageing encompasses the population-level coexistence of diabetes, obesity, and demographic ageing within the analytical framework of this study. We examined whether this profile, summarized by a Diabetes-Obesity-Ageing (DOA) index, was associated with cardiovascular disease (CVD) burden and whether this association varied with national income.
Methods:
We analysed a balanced panel of 27 European Union countries from 1990 to 2021. DOA was calculated as the equally weighted mean of pooled z-scores for age-standardized diabetes prevalence, age-standardized obesity prevalence, and the proportion aged ≥65 years. The ageing component represented demographic composition. Two-way fixed-effects models examined associations with age-standardized CVD disability-adjusted life-year and mortality rates, including an interaction between DOA and ln(GDP per capita). Sensitivity analyses included alternative estimators, temporal specifications, component-specific models, and PCA-based weighting.
Results:
The DOA × ln(GDP) interaction was negative and statistically significant in the primary model (β = -0.111; p = 0.006), with a consistent result for cardiovascular mortality (β = -0.118; p = 0.004). Component-specific interactions were significant for diabetes and population ageing, but not obesity. The PCA-based interaction was also negative and significant. Temporal analyses showed a negative interaction in levels models and a positive interaction in short-run specifications. Lead-placebo associations were also significant, while cointegration tests provided mixed evidence of a stable long-run relationship.
Conclusions:
Higher national income was associated with attenuation of the DOA-CVD relationship in levels models. The composite and component-specific analyses provide complementary perspectives on this pattern, with clearer evidence for diabetes and population ageing. These findings describe an income-dependent population-level association whose interpretation remains sensitive to temporal specification.
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