Association between hypertension-mediated organ damage and obesity defined by novel anthropometric indices in community-dwelling elderly individuals

Body mass index (BMI), the most common anthropometric index, has recently been challenged by two emerging parameters: a body shape index (ABSI) and body roundness index (BRI). The purpose of this study was to explore the associations of hypertension-mediated organ damage (HMOD) with conventional and novel anthropometric parameters.This is a multistage community-based observational and cross-sectional study. A total of 3077 elderly Chinese individuals (mean age 70.92 ± 5.84, 1329 (43%) men) from the communities in the northern area of Shanghai were enrolled from June 2014 to August 2019. Waist-to-hip ratio (WHR), ABSI and BRI were calculated with validated formulas. HMOD, including left ventricular hypertrophy (LVH), arterial stiffness (AS), lower limb atherosclerosis (LLA), and microalbuminuria (MAU), was assessed using standardized methods. Correlation and multivariable linear and logistic regression analyses were performed to detect the relations between HMOD and anthropometric indices.In the total population, compared to those with ABSI, BRI and WHR in the lowest quartiles, participants with values in the highest quartiles exhibited a significantly higher risk of LVH, AS and MAU independent of BMI and other confounders (all P for trend <0.01). In females but not in males, compared to BMI, BRI and WHR had a greater area under the curve (AUC) for detecting HMOD. In the further stepwise logistic regression with all anthropometric indices put into models simultaneously, only BRI remained in the LVH (odds ratio [OR]: 1.42, 95% confidence interval [CI]: 1.30–1.55) and LLA (OR: 1.48, 95% CI: 1.23–1.77) models, and WHR remained in the AS (OR: 1.30, 95% CI: 1.18–1.43) and MAU (OR: 1.48, 95% CI: 1.28–1.72, all P < 0.01) models.Compared to BMI, the novel anthropometric parameter BRI, together with the conventional parameter WHR, exhibits a closer relationship with HMOD in the elderly population, especially in females.