Anthropometric and adiposity indicators and risk of type 2 diabetes: systematic review and dose-response meta-analysis of cohort studies

A Jayedi, S Soltani, SZ Motlagh, A Emadi, H Shahinfar… - Bmj, 2022 - bmj.com
Objective To present a comprehensive review of the association between measures of body
weight, waist, and fat, and different ratios of these measures, and the risk of type 2 diabetes …

Performance of the waist-to-height ratio in identifying obesity and predicting non-communicable diseases in the elderly population: A systematic literature review

MM Correa, E Thumé, ERA De Oliveira… - Archives of gerontology …, 2016 - Elsevier
A systematic review was carried out aiming to collect evidence on the use of the waist-to-
height ratio (WHtR) on the elderly population, focusing on validity measures to identify the …

Strong association of waist circumference (WC), body mass index (BMI), waist‐to‐height ratio (WHtR), and waist‐to‐hip ratio (WHR) with diabetes: a population‐based …

FL Zhang, JX Ren, P Zhang, H Jin, Y Qu… - Journal of diabetes …, 2021 - Wiley Online Library
Backgrounds. The prevalence of diabetes has increased with the increase of obesity, and
finding indicators to predict diabetes risk has become an urgent need. The purpose of this …

Identification of type 2 diabetes risk factors using phenotypes consisting of anthropometry and triglycerides based on machine learning

BJ Lee, JY Kim - IEEE journal of biomedical and health …, 2015 - ieeexplore.ieee.org
The hypertriglyceridemic waist (HW) phenotype is strongly associated with type 2 diabetes;
however, to date, no study has assessed the predictive power of phenotypes based on …

Risk prediction of type II diabetes based on random forest model

W Xu, J Zhang, Q Zhang, X Wei - 2017 third international …, 2017 - ieeexplore.ieee.org
In recent years, type II diabetes has become a serious disease that threaten the health and
mind of human. Efficient predictive modeling is required for medical researchers and …

Predicting the risk of incident type 2 diabetes mellitus in Chinese elderly using machine learning techniques

Q Liu, M Zhang, Y He, L Zhang, J Zou, Y Yan… - Journal of Personalized …, 2022 - mdpi.com
Early identification of individuals at high risk of diabetes is crucial for implementing early
intervention strategies. However, algorithms specific to elderly Chinese adults are lacking …

Visceral fat mass has stronger associations with diabetes and prediabetes than other anthropometric obesity indicators among Korean adults

SH Jung, KH Ha, DJ Kim - Yonsei medical journal, 2016 - synapse.koreamed.org
Purpose This study determined which obesity measurement correlates the best with
diabetes and prediabetes. Materials and Methods This cross-sectional study enrolled 1603 …

Anthropometric indicators of adiposity related to body weight and body shape as cardiometabolic risk predictors in British young adults: superiority of waist‐to‐height …

F Amirabdollahian, F Haghighatdoost - Journal of obesity, 2018 - Wiley Online Library
Frequently reported poor dietary habits of young adults increase their risk of metabolic
syndrome (MetS). Excess adiposity is the most established predictor of MetS, and numerous …

Effects of chromium supplementation on body composition in patients with type 2 diabetes: a dose-response systematic review and meta-analysis of randomized …

M Vajdi, S Moienolsadat, S Mousavi… - Journal of Trace …, 2023 - Elsevier
Introduction Several randomized controlled trials (RCTs) have demonstrated the beneficial
effects of chromium supplementation in managing type 2 diabetes mellitus (T2DM). The …

Prevalence and risk factors for gallstone disease: a population‐based cross‐sectional study

ST Song, J Shi, XH Wang, YB Guo… - Journal of digestive …, 2020 - Wiley Online Library
Objective To explore the prevalence of and risk factors for gallstone disease in Shanghai,
China. Methods A population‐based cross‐sectional study was conducted in Shanghai …