Using different anthropometric indices of obesity as predictors for type 2 diabetes mellitus in older adults.

There is some evidence that anthropometric measurements can be associated with the risk of type 2 diabetes mellitus (T2DM). Nevertheless, there is no comprehensive consensus on which anthropometric index is the best for evaluating the risk and predicting T2DM, especially in older adults. For this reason, we compared the performance of six indices for detecting T2DM in a population of Colombian older adults. We conducted a cross-sectional study of 3453 older adults (≥60 years old; 2023 women), analysing demographic characteristics, biochemical markers, and anthropometric indices including body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR), adiposity index (VAI), conicity index (C-Index), and body roundness index (BRI). T2DM was defined as fasting plasma glucose ≥126 mg/dl (≥7.0 mmol/l). All the anthropometric indices correlated significantly with the presence of T2DM. An analysis of the receiver operating characteristic curve showed that for men the VAI (AUC = 0.71; moderate ES (0.78); OR = 4.13), BMI (AUC = 0.68; moderate ES (0.68); OR = 3.38), and WC (AUC = 0.68; moderate ES (0.68); OR = 3.38) are the best predictors for identifying T2DM. For women, however, the WC (AUC = 0.63; ES = 0.46; OR = 2.34) and C-Index (AUC = 0.63; ES = 0.46; OR = 2.34) were better indicators for predicting T2DM. Cut-off points for all the anthropometric indices were provided. In summary, the VAI, BMI, and WC in men, and WC and the C-Index in women have a moderate discriminating power for detecting T2DM in Colombian older adults, evidencing that these anthropometric indices are suitable screening tools for use in the elderly.

Ramírez-Vélez R ，Pérez-Sousa MA ，González-Jiménez E ，Correa-Rodríguez M ，Calderón-González JC ，Dávila-Grisales A ，Schmidt-RioValle J ... -  《-》

Utility of Anthropometric Indexes for Detecting Metabolic Syndrome in Resource-Limited Regions of Northwestern China: Cross-Sectional Study.

Anthropometric indexes offer a practical approach to identifying metabolic syndrome (MetS) and its components. However, there is a scarcity of research on anthropometric indexes tailored to predict MetS in populations from resource-limited regions. This study aimed to examine the association between 8 easy-to-collect anthropometric indexes and MetS, and determine the most appropriate indexes to identify the presence of MetS for adults in resource-limited areas. A total of 10,520 participants aged 18-85 years from Ningxia Hui Autonomous Region, China, were included in this cross-sectional study. Participants were recruited through a stratified sampling approach from January 1, 2020, to December 31, 2021. MetS was defined using the International Diabetes Federation (IDF) criteria. Eight anthropometric indexes were examined, including BMI, waist-to-height ratio (WHtR), weight-adjusted waist index (WWI), conicity index, a body shape index (ABSI), lipid accumulation products (LAP), visceral obesity index (VAI), and the triglyceride-glucose (TyG) index. Logistic regression analysis and restricted cubic splines (RCSs) were applied to identify the association between the anthropometric indexes. The receiver operating characteristic curve and the area under the curve (AUC) were analyzed to identify and compare the discriminative power of anthropometric indexes in identifying MetS. The Youden index was used to determine a range of optimal diagnostic thresholds. Logistic regression analysis was applied to identify the association between the anthropometric indexes. A total of 3324 (31.60%) participants were diagnosed with MetS. After adjusting for age, ethnicity, current residence, education level, habitual alcohol consumption, and tobacco use, all the 8 indexes were positively correlated with the risks of MetS (P<.05). LAP presented the highest adjusted odds ratios (adjOR 35.69, 95% CI 34.59-36.80), followed by WHtR (adjOR 29.27, 95% CI 28.00-30.55), conicity index (adjOR 11.58, 95% CI 10.95-12.22), TyG index (adjOR 5.53, 95% CI 5.07-6.04), BMI (adjOR 3.88, 95% CI 3.71-4.05), WWI (adjOR 3.23, 95% CI 3.02-3.46), VAI (adjOR 2.11, 95% CI 2.02-2.20), and ABSI (adjOR 1.71, 95% CI 1.62-1.80). Significantly nonlinear associations between the 8 indexes and the risk of MetS (all Pnonlinear<.001) were observed in the RCSs. WHtR was the strongest predictor of MetS for males (AUC 0.91, 95% CI 0.90-0.92; optimal cutoff 0.53). LAP were the strongest predictor of MetS for females (AUC 0.89, 95% CI 0.89-0.90; optimal cutoff 28.67). Statistical differences were present between WHtR and all other 7 anthropometric indexes among males and overall (all P<.05). In females, the AUC values between LAP and BMI, WWI, ABSI, conicity index, VAI, and TyG index were significantly different (P<.001). No statistical difference was observed between LAP and WHtR among females. According to 8 anthropometric and lipid-related indices, it is suggested that WHtR and LAP are the most appropriate indexes for identifying the presence of MetS in resource-limited areas.

Yang D ，Ma L ，Cheng Y ，Shi H ，Liu Y ，Shi C ... -  《JMIR Public Health and Surveillance》

The potential of insulin resistance indices to predict non-alcoholic fatty liver disease in patients with type 2 diabetes.

The triglyceride-glucose (TyG) index and related parameters, as well as the Homeostatic Model Assessment for Insulin Resistance (HOMA-IR), have been developed as insulin resistance markers to identify individuals at risk for non-alcoholic fatty liver disease (NAFLD). However, its use for predicting NAFLD in patients with type 2 diabetes mellitus (T2DM) remains unclear. In this study, we aimed to observe the performance of insulin resistance indices in diagnosing NAFLD combined with T2DM and to compare their diagnostic values in clinical practice. Overall, 268 patients with T2DM from the Endocrinology Department of Jiangsu Provincial Hospital of Traditional Chinese Medicine were enrolled in this study and divided into two groups: an NAFLD group (T2DM with NAFLD) and a T2DM group (T2DM without NAFLD). General information and blood indicators of the participants were collected, and insulin resistance indices were calculated based on these data. Receiver operating characteristic (ROC) analysis was conducted to calculate the area under the curve (AUC) for insulin resistance-related indices, aiming to assess their ability to discriminate between T2DM patients with and without NAFLD. ROC analysis revealed that among the five insulin resistance-related indices, four parameters (TyG, TyG-body mass index [BMI], TyG-waist circumference [WC], and TyG- (waist-hip ratio [WHR]) exhibited high predictive performance for identifying NAFLD, except for HOMA-IR (AUCs:0.710,0.738,0.737 and 0.730, respectivly). TyG-BMI demonstrated superior predictive value, especially in males. For males, the AUC for TyG-BMI was 0.764 (95% confidence interval [CI] 0.691-0.827). The sensitivity and specificity for male NAFLD were 90.32% and 47.89%, respectively. Moreover, in the Generalized linear regression models, there were positive associations of TyG, TyG-BMI, TyG-WC, TyG-WHR, and HOMA-IR with controlled attenuation parameter (CAP), with β values of 21.30, 0.745, 0.247, and 2.549 (all P < 0.001), respectively. TyG-BMI is a promising predictor of NAFLD combined with T2DM, particularly in lean male patients.

Tian J ，Cao Y ，Zhang W ，Wang A ，Yang X ，Dong Y ，Zhou X ... -  《BMC Endocrine Disorders》

Prediction of Hypertension Based on Anthropometric Parameters in Adolescents in Eastern Sudan: A Community-Based Study.

Anthropometric measures such as body mass index (BMI), waist circumference (WC), and waist-to-height ratio (WHtR) are associated with elevated blood pressure and hypertension in adolescents. We aimed to assess these anthropometric measures (BMI, WC, and WHtR) and examine their association with hypertension in adolescents. Adolescents' BMI, mid-upper arm circumference (MUAC), WC, body roundness index (BRI), waist-to-hip ratio (WHR), WHtR, and a body shape index(ABSI) values were measured and calculated. Receiver operating characteristic curves (ROCs) were created to determine the discriminatory capacities of these anthropometric parameters for hypertension. The cutoff points for these parameters were identified using Youden's index. A total of 401 adolescents [186(46.4%) were females and 215 (53.6%) were males] were included. The median (interquartile range, IQR) age was 14.0 (12.1‒16.2) years. Thirty-six adolescents were found to have hypertension. Among the anthropometric parameters, MUAC (area under the curve (AUC] = 0.76, at the cutoff 26.1 cm, sensitivity = 61.0, specificity = 83.0), WC (AUC= 0.74, at the cutoff 70.3 cm, sensitivity = 66.7, specificity = 77.0), BMI (AUC= 0.73, at the cutoff 17.4 kg/m2, sensitivity = 83.3, specificity = 59.0), and hip circumference (HC) (AUC= 0.72, at the cutoff 91.0 cm, sensitivity = 55.6, specificity = 83.0) performed fairly in detecting hypertension in adolescents, whereas WHR, WHtR, ABSI, and BRI performed poorly. A univariate analysis showed that, except for WHR, all anthropometric parameters (BMI, MUAC, WC, HC, WHtR, BRI, and ABSI) were associated with hypertension. However, in a multivariate analysis, only increased MUAC (adjusted odds ratio [AOR]= 1.24, 95% CI= 1.03‒1.50) was associated with hypertension. This study showed that MUAC, WC, BMI, and HC could be used to detect hypertension in adolescents. Other parameters,namelyWHR, WHtR, ABSI, and BRI, perform poorly in this regard. Larger studies are needed in the future.

Saad AH ，Hassan AA ，Al-Nafeesah A ，AlEed A ，Adam I ... -  《-》

Defining the optimum strategy for identifying adults and children with coeliac disease: systematic review and economic modelling.

Elwenspoek MM ，Thom H ，Sheppard AL ，Keeney E ，O'Donnell R ，Jackson J ，Roadevin C ，Dawson S ，Lane D ，Stubbs J ，Everitt H ，Watson JC ，Hay AD ，Gillett P ，Robins G ，Jones HE ，Mallett S ，Whiting PF ... -  《-》