Metabolic Score for Visceral Fat: a novel predictor for the risk of type 2 diabetes mellitus

Br J Nutr. 2022 Sep 28;128(6):1029-1036. doi: 10.1017/S0007114521004116. Epub 2021 Oct 11.

Abstract

To investigate the association between the Metabolic Score for Visceral Fat (METS-VF) and risk of type 2 diabetes mellitus (T2DM) and compare the predictive value of the METS-VF for T2DM incidence with other obesity indices in Chinese people. A total of 12 237 non-T2DM participants aged over 18 years from the Rural Chinese Cohort Study of 2007-2008 were included at baseline and followed up during 2013-2014. The cox proportional hazards regression was used to calculate hazard ratios (HR) and 95 % CI for the association between baseline METS-VF and T2DM risk. Restricted cubic splines were used to model the association between METS-VF and T2DM risk. Area under the receiver operating characteristic curve (AUC) analysis was used to evaluate the ability of METS-VF to predict T2DM incidence. During a median follow-up of 6·01 (95 % CI 5·09, 6·06) years, 837 cases developed T2DM. After adjusting for potential confounding factors, the adjusted HR for the highest v. lowest METS-VF quartile was 5·97 (95 % CI 4·28, 8·32), with a per 1-sd increase in METS-VF positively associated with T2DM risk. Positive associations were also found in the sensitivity and subgroup analyses, respectively. A significant nonlinear dose-response association was observed between METS-VF and T2DM risk for all participants (Pnonlinearity = 0·0347). Finally, the AUC value of METS-VF for predicting T2DM was largest among six indices. The METS-VF may be a reliable and applicable predictor of T2DM incidence in Chinese people regardless of sex, age or BMI.

Keywords: Cohort study; Dose–response association; Metabolic Score for Visceral Fat; Receiver operating characteristic curve; Type 2 diabetes mellitus.

MeSH terms

  • Adult
  • China / epidemiology
  • Cohort Studies
  • Diabetes Mellitus, Type 2* / epidemiology
  • Diabetes Mellitus, Type 2* / metabolism
  • Humans
  • Intra-Abdominal Fat / metabolism
  • Metabolic Syndrome* / epidemiology
  • Middle Aged
  • Obesity / metabolism
  • Risk Factors