Capacity of different anthropometric measures to predict diabetes in a Chinese population in southwest China: a 15‐year prospective study

Abstract

Aim To investigate whether conicity index, abdominal volume index, body adiposity index, body roundness index, cardiometabolic index and lipid accumulation product compared with waist circumference could predict future diabetes in a 15-year prospective study.Methods The data were collected in 1992 and recollected in 2007 from the same group of 687 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 diabetes were assessed by Harrell's C-statistic.Results During follow-up, 74 participants were newly diagnosed with diabetes. In multivariable Cox regression analysis after adjusting potential for confounders, log 10 -conicity index [HR: 1.67 (95% CI: 1.31-2.11) per SD; P < 0.0001], log 10 -abdominal volume index [HR: 1.95 (95% CI: 1.50-2.55) per SD; P < 0.0001], log 10 -body adiposity index [HR: 1.82 (95% CI: 1.33-2.50) per SD; P < 0.0001], log 10 -body roundness index [HR: 2.16 (95% CI: 1.63-2.88) per SD; P < 0.0001], log 10 -cardiometabolic index [HR: 1.70 (95% CI: 1.39-2.09) per SD; P < 0.0001], log 10 -lipid accumulation product [HR: 2.06 (95% CI: 1.56-2.73) per SD; P < 0.0001] and log 10 -waist circumference [HR: 1.99 (95% CI: 1.51-2.46) per SD; P < 0.0001] were significantly associated with incident diabetes. Additionally, lipid accumulation product had the highest Harrell's C-statistic at 0.715 (95% CI: 0.656-0.775), followed by body roundness index at 0.714 (95% CI: 0.658-0.770) and cardiometabolic index at 0.704 (95% CI: 0.643-0.764) then by waist circumference at 0.701 (95% CI: 0.644-0.759).Conclusions Conicity index, abdominal volume index, body adiposity index, body roundness index, cardiometabolic index and lipid accumulation product were independent predictors of future diabetes. The discriminatory power of body roundness index, cardiometabolic index and lipid accumulation product for diabetes prediction were higher than that of waist circumference.

Effectiveness of body roundness index in predicting metabolic syndrome: A systematic review and meta‐analysis

“…However, BRI is limited in predicting percentage of fat mass in elite athletes when compared with other commonly and readily available field methods such as bio‐impedance analysis or skinfold prediction models 63 . Several recent studies have shown that BRI could be used as an adipose indicator for determining the presence of eccentric left ventricular hypertrophy, 64 hyperuricaemia, 41,65 arterial stiffness, 66–69 CVD, 70,71 diabetes, 41,72–75 dyslipidaemia, 41,76–78 hypertension 41,79,80 and MetS 41–55 …”

Anthropometric Indicators as a Tool for Diagnosis of Obesity and Other Health Risk Factors: A Literature Review

“…Conicity index has been associated with an excellent predictive capacity of metabolic syndrome in adolescents (Cristine Silva et al, 2020) and in older people (Ceolin et al, 2019). Furthermore, CI has demonstrated to be a good predictor of future diabetes (Andrade et al, 2016;Wang et al, 2019;Hernández-Vásquez et al, 2020) and hypertension (Andrade et al, 2016;Hernández-Vásquez et al, 2020). Thus, CI can be considered a good indicator of high cardiovascular risk (Tonding et al, 2014;Motamed et al, 2015), although it was not associated with coronary heart disease incidence in the population from the Framingham Heart Study (Kim et al, 2000).…”

“…Even it was suggested that it is a better index to assess the accumulation of fat in the abdominal area and is able to more accurately assess the BFP (Ehrampoush et al, 2017). AVI has been associated with metabolic syndrome in adolescents (Perona et al, 2019) and in adults (Motamed et al, 2017;Wang et al, 2017), with glucose dysregulation and diabetes (Guerrero-Romero and Rodríguez-Morán, 2003;Mamtani and Kulkarni, 2005) and with diabetes prediction (Wang et al, 2019). Also, AVI has been associated with cardiovascular risk (Motamed et al, 2015;Wang et al, 2018).…”

Learning about diabetes through epidemiology

“…Two articles from China discuss this issue. The first deals with data initially collected in 1992 with a 15‐year follow‐up of 687 people, 74 of whom developed diabetes . Seven anthropometric measures were compared, and all were found to be associated with diabetes, and remained so after adjustment for other diabetes risk factors.…”