Key result
Higher national income significantly weakens the link between the Diabetes-Obesity-Ageing index and CVD burden.
Why the study?
The study examined whether the population-level coexistence of diabetes, obesity, and demographic ageing (DOA index) was associated with cardiovascular disease burden and whether this association varied with national income.
Observational
Yes
Effect estimate: β = -0.111
p-value: p=0.006
Higher national income is associated with an attenuation of the population-level relationship between cardiometabolic aging (diabetes, obesity, and demographic aging) and cardiovascular disease burden.
DOA index may link cardiometabolic ageing to national CVD burden; leaves open utility for individual risk prediction or policy.
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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Iuga et al. (2026) conducted an observational in Cardiovascular disease. Diabetes-Obesity-Ageing (DOA) index was evaluated on Age-standardized CVD disability-adjusted life-year (DALY) and mortality rates (β = -0.111, p=0.006). The association between the Diabetes-Obesity-Ageing index and cardiovascular disease burden was significantly attenuated by higher national income (β = -0.111; p=0.006).
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