Why the study?
Does the weight-adjusted-waist index (WWI) better predict cardiometabolic disease morbidity and mortality compared to traditional adiposity indices in a nationwide cohort?
Does the weight-adjusted-waist index (WWI) better predict cardiometabolic disease morbidity and mortality compared to traditional adiposity indices in a nationwide cohort?
The novel weight-adjusted-waist index (WWI) is a strong predictor of cardiovascular mortality and exhibits a linear relationship with mortality risk, offering improved prognostic value when combined with BMI.
WWI may refine CVD mortality stratification in cohorts; extends adiposity index comparisons but leaves open prospective validation before practice change.
We propose a new anthropometric index, weight-adjusted-waist index (WWI), to assess adiposity by standardizing waist circumference (WC) for weight. WWI, calculated as WC (cm) divided by the square root of weight (kg) (cm/√kg), was measured from 465,629 subjects in the Korean nationwide cohort (2008-2013). Cox regression analysis was used to compare WWI with BMI, WC, waist-to-height ratio (WHtR), and a body shape index (ABSI) for cardiometabolic morbidity and mortality risk in diagnostic and prognostic prediction models. For incident hypertension, type 2 diabetes and cardiovascular disease (CVD), BMI had the strongest predictive power, followed by WWI and WC. However, WWI showed the best predictive performance for CVD mortality. Also, a linear positive association between adiposity indices and cardiovascular and all-cause mortality was only shown in WWI and ABSI, not BMI, WC and WHtR which showed inverse J-shaped patterns. In the test of joint effects of each index, WWI combined with BMI was the strongest in both diagnostic and prognostic models. WWI is a unique adiposity index that shows linear positive association with both cardiometabolic morbidity and mortality. It also predicts incident cardiometabolic disease, cardiovascular and all-cause mortality risk with excellence in predictive power, especially when combined with BMI.
No takes yet. Share an insight, caveat, or question.
Park et al. (2018) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: