Cardiometabolic index (HR 1.944; 95% CI 1.381-2.738) and other adiposity indices independently predicted incident hypertension over 15 years, but had lower discriminatory power than waist circumference.
Cohort (n=597)
Do novel anthropometric indices (cardiometabolic index, visceral adiposity index, dysfunctional adiposity index, body adiposity index) predict incident hypertension better than traditional measures (waist circumference, body mass index)?
Traditional anthropometric measures like waist circumference and BMI remain superior to novel adiposity indices for predicting incident hypertension over a 15-year period.
Hazard Ratio: 1.944 (95% CI 1.381–2.738)
p-value: p=< 0.001
Abstract Aim To investigate whether cardiometabolic index,visceral adiposity index, dysfunctional adiposity index and body adiposity index compared with waist circumference and body mass index could predict future hypertension in a 15-year prospective study. Methods The data were collected in 1992 and recollected in 2007 from the same group of 597 individuals. Anthropometric indices and biochemical data were obtained. Cox’s proportional hazards regression models were used to estimate the hazard ratios of anthropometric measures. The discriminatory power of anthropometric measures for incident hypertension were assessed by Receiver Operating characteristic Curve. Results During follow-up, 265 participants were newly diagnosed with hypertension. In multivariable Cox regression analysis after adjusting potential for confounders, cardiometabolic index HR: 1.944 (95% CI: 1.381–2.738) per SD; P 0.001, visceral adiposity index HR: 1.499 (95% CI: 1.068–2.104) per SD; P =0.019, dysfunctional adiposity index HR: 1.422 (95% CI: 1.017–1.990) per SD; P =0.040, body adiposity index HR: 1.864 (95% CI: 1.297–2.678) per SD; P =0.001, waist circumference HR: 2.432 (95% CI: 1.670–3.543) per SD; P 0.001, waist-to-height ratio HR: 2.515 (95% CI: 1.746–3.622) per SD; P 0.001 and body mass index HR: 2.523 (95% CI: 1.773–3.592) per SD; P 0.001 were significantly associated with incident hypertension. Additionally, waist circumference product had the highest AUC at 0.649 (95% CI: 0.605–0.693), followed by body mass index at 0.648 (95% CI: 0.603–0.692) and waist-to-height ratio at 0.646 (95% CI: 0.601–0.690) then by cardiometabolic index at 0.603 (95% CI: 0.557–0.649). Conclusions Cardiometabolic index,visceral adiposity index, dysfunctional adiposity index and body adiposity index were independent predictors of future hypertension. The discriminatory power of these indexes product for hypertension prediction were lower than that of waist circumference and body mass index.
Pan et al. (2025) conducted a cohort in hypertension (n=597). Anthropometric measures (cardiometabolic index, visceral adiposity index, dysfunctional adiposity index, body adiposity index) vs. waist circumference and body mass index was evaluated on incident hypertension (HR 1.944, 95% CI 1.381-2.738, p=< 0.001). Cardiometabolic index (HR 1.944; 95% CI 1.381-2.738) and other adiposity indices independently predicted incident hypertension over 15 years, but had lower discriminatory power than waist circumference.