Comparison of the predictive power of adiposity indices and blood lipid indices for diagnosis of prediabetes.

The purpose of this study is to explore the association between adiposity indices and blood lipid indices and prediabetes. We compare the predictive value of new adiposity indices and traditional adiposity indices and blood lipid indices in the diagnosis of prediabetes. This is a prospective cohort study of 7953 participants. The follow-up time was 3 years. The eight adiposity indices included the following: body mass index (BMI), waist circumference (WC), body roundness index (BRI), A Body Shape Index (ABSI), visceral adiposity index (VAI), lipid accumulation product (LAP), fatty liver index (FLI), and triglyceride-to-glucose fasting index (TyG), as well as four blood lipid indices as follows: total cholesterol (TC), triglycerides (TG), high-density lipoprotein (HDL-C), and low-density lipoprotein (LDL-C).The association between adiposity indices and blood lipid indices for diagnosis of prediabetes was estimated using a logistic regression model to obtain the odds ratio (OR) and its 95% confidence interval (CI). We calculated the area under the curve (AUC) of receiver operating characteristic (ROC) curve analysis to measure the predictive value of adiposity indices and blood lipid indicators for the diagnosis of prediabetes in the general population stratified by gender. The median age of the participants was 56 years old, men accounting for 35.3% of the final group. After adjusting for confounding factors, association of BMI, BRI, VAI, LAP, TyG, TC, TG, and LDL-C with prediabetes status was assessed at both baseline and follow-up. TyG (AUC, overall: 0.677 (95% CI, 0.665, 0.689), male: 0.645 (95% CI, 0.624-0.667), and female: 0.693 (95% CI, 0.678-0.708)) have better diagnostic value for prediabetes than VAI, LAP, FLI, TC, TG, HDL-C, and LDL-C. The predictive value of the combination of TyG, BRI, VAI, and TG significantly improves the power of any single index in the diagnosis of prediabetes. The AUC and corresponding 95% CI of TyG, BRI, VAI, and TG and the combination of these four indicators to diagnose prediabetes were 0.677 (0.665, 0.689), 0.630 (0.617, 0.643), 0.618 (0.606, 0.631), 0.622 (0.609, 0.635), and 0.728 (0.716, 0.739), respectively. Among the eight adiposity indices and four blood lipid indices evaluated in the study, TyG had the highest diagnostic value for prediabetes in isolated indexes, and the combination of TyG, BRI, VAI, and TG significantly improved the diagnostic value for prediabetes of any single indicator.

Zhang Y ，Wang M ，Zuo Y ，Su X ，Wen J ，Zhai Q ，He Y ... -  《-》

Obesity- and lipid-related indices as a predictor of obesity metabolic syndrome in a national cohort study.

Metabolic syndrome is a common condition among middle-aged and elderly people. Recent studies have reported the association between obesity- and lipid-related indices and metabolic syndrome, but whether those conditions could predict metabolic syndrome is still inconsistent in a few longitudinal studies. In our study, we aimed to predict metabolic syndrome by obesity- and lipid-related indices in middle-aged and elderly Chinese adults. A national cohort study that consisted of 3,640 adults (≥45 years) was conducted. A total of 13 obesity- and lipid-related indices, including body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR), conicity index (CI), visceral adiposity index (VAI), Chinese visceral adiposity index (CVAI), lipid accumulation product (LAP), a body shape index (ABSI), body roundness index (BRI), and triglyceride glucose index (TyG-index) and its correlation index (TyG-BMI, TyG-WC, and TyG-WHtR), were recorded. Metabolic syndrome (MetS) was defined based on the criteria of the National Cholesterol Education Program Adult Treatment Panel III (2005). Participants were categorized into two groups according to the different sex. Binary logistic regression analyses were used to evaluate the associations between the 13 obesity- and lipid-related indices and MetS. Receiver operating characteristic (ROC) curve studies were used to identify the best predictor of MetS. A total of 13 obesity- and lipid-related indices were independently associated with MetS risk, even after adjustment for age, sex, educational status, marital status, current residence, history of drinking, history of smoking, taking activities, having regular exercises, and chronic diseases. The ROC analysis revealed that the 12 obesity- and lipid-related indices included in the study were able to discriminate MetS [area under the ROC curves (AUC > 0.6, P < 0.05)] and ABSI was not able to discriminate MetS [area under the ROC curves (AUC < 0.6, P > 0.05)]. The AUC of TyG-BMI was the highest in men, and that of CVAI was the highest in women. The cutoff values for men and women were 187.919 and 86.785, respectively. The AUCs of TyG-BMI, CVAI, TyG-WC, LAP, TyG-WHtR, BMI, WC, WHtR, BRI, VAI, TyG index, CI, and ABSI were 0.755, 0.752, 0.749, 0.745, 0.735, 0.732, 0.730, 0.710, 0.710, 0.674, 0.646, 0.622, and 0.537 for men, respectively. The AUCs of CVAI, LAP, TyG-WC, TyG-WHtR, TyG-BMI, WC, WHtR, BRI, BMI, VAI, TyG-index, CI, and ABSI were 0.687, 0.674, 0.674, 0.663, 0.656, 0.654, 0.645, 0.645, 0.638, 0.632, 0.607, 0.596, and 0.543 for women, respectively. The AUC value for WHtR was equal to that for BRI in predicting MetS. The AUC value for LAP was equal to that for TyG-WC in predicting MetS for women. Among middle-aged and older adults, all obesity- and lipid-related indices, except ABSI, were able to predict MetS. In addition, in men, TyG-BMI is the best indicator to indicate MetS, and in women, CVAI is considered the best hand to indicate MetS. At the same time, TyG-BMI, TyG-WC, and TyG-WHtR performed better than BMI, WC, and WHtR in predicting MetS in both men and women. Therefore, the lipid-related index outperforms the obesity-related index in predicting MetS. In addition to CVAI, LAP showed a good predictive correlation, even more closely than lipid-related factors in predicting MetS in women. It is worth noting that ABSI performed poorly, was not statistically significant in either men or women, and was not predictive of MetS.

Gui J ，Li Y ，Liu H ，Guo LL ，Li J ，Lei Y ，Li X ，Sun L ，Yang L ，Yuan T ，Wang C ，Zhang D ，Wei H ，Li J ，Liu M ，Hua Y ，Zhang L ... -  《Frontiers in Public Health》

Predictive performance of traditional and novel lipid combined anthropometric indices to identify prediabetes.

Diabetes mellitus is one of the critical public health challenges in the Indian healthcare scenario. Novel anthropometric indices are promising surrogate markers to detect prediabetes compared to the traditional anthropometric indices that only reflect gross obesity. Thus, the authors aim to analyse the potential of three novel lipid combined anthropometric indices in predicting prediabetes in the Asian Indian population. We conducted an age and gender-matched case-control study to identify the predictors of prediabetes. Prediabetes was diagnosed as per the American Diabetes Association (ADA) guidelines 2010. The traditional anthropometric measurements including waist circumference (WC), waist to hip ratio (WHR) and body mass index (BMI) were executed using standardised methods. Fasting lipid profile was obtained and using standardised formulas, the novel lipid combined anthropometric indices such as lipid accumulation product (LAP), visceral adiposity index (VAI) and triglyceride glucose index (TyG index) were derived. TyG related indices such as triglyceride glucose-waist circumference (TyG-WC) and triglyceride glucose-body mass index (TyG-BMI) were also calculated. The novel lipid combined anthropometric indices LAP, VAI, TyG index, TyG-WC and TyG-BMI were significantly higher in subjects with prediabetes of both the genders (p < 0.05). During receiver operating characteristic (ROC) curve evaluation, TyG index (AUC = 0.802) was the superior predictive measure in males, while in females, TyG-WC (AUC = 0.767) was the best among all the markers. TyG index and TyG-WC seem to be a superior indicator of prediabetes in the Asian Indian population in comparison with other anthropometric indices to screen prediabetes.

Ramdas Nayak VK ，Nayak KR ，Vidyasagar S ，P R ... -  《-》

Obesity- and Lipid-Related Parameters in the Identification of Older Adults with a High Risk of Prediabetes According to the American Diabetes Association: An Analysis of the 2015 Health, Well-Being, and Aging Study.

Ramírez-Vélez R ，Pérez-Sousa MÁ ，González-Ruíz K ，Cano-Gutierrez CA ，Schmidt-RioValle J ，Correa-Rodríguez M ，Izquierdo M ，Romero-García JA ，Campos-Rodríguez AY ，Triana-Reina HR ，González-Jiménez E ... -  《-》

Predicting hypertension by obesity- and lipid-related indices in mid-aged and elderly Chinese: a nationwide cohort study from the China Health and Retirement Longitudinal Study.

Currently, the study outcomes of anthropometric markers to predict the risk of hypertension are still inconsistent due to the effect of racial disparities. This study aims to investigate the most effective predictors for screening and prediction of hypertension (HTN) in the Chinese middle-aged and more elderly adult population and to predict hypertension using obesity and lipid-related markers in Chinese middle-aged and older people. The data for the cohort study came from the China Health and Retirement Longitudinal Study (CHARLS), including 4423 middle-aged and elderly people aged 45 years or above. We examined 13 obesity- and lipid-related indices, including waist circumference (WC), body mass index (BMI), waist-height ratio (WHtR), visceral adiposity index (VAI), a body shape index (ABSI), body roundness index (BRI), lipid accumulation product index (LAP), conicity index (CI), Chinese visceral adiposity index (CVAI), triglyceride-glucose index (TyG-index) and their combined indices (TyG-BMI, TyG-WC, TyG-WHtR). To compare the capacity of each measure to forecast the probability of developing HTN, the receiver operating characteristic curve (ROC) was used to determine the usefulness of anthropometric indices for screening for HTN in the elderly and determining their cut-off value, sensitivity, specificity, and area under the curve (AUC). Association analysis of 13 obesity-related anthropometric indicators with HTN was performed using binary logistic regression analysis. During the four years, the incident rates of HTN in middle-aged and elderly men and women in China were 22.08% and 17.82%, respectively. All the above 13 indicators show a modest predictive power (AUC > 0.5), which is significant for predicting HTN in adults (middle-aged and elderly people) in China (P < 0.05). In addition, when WHtR = 0.501 (with an AUC of 0.593, and sensitivity and specificity of 63.60% and 52.60% respectively) or TYg-WHtR = 4.335 (with an AUC of 0.601, and sensitivity and specificity of 58.20% and 59.30% respectively), the effect of predicting the incidence risk of men is the best. And when WHtR = 0.548 (with an AUC of 0.609, and sensitivity and specificity of 59.50% and 56.50% respectively) or TYg-WHtR = 4.781(with an AUC of 0.617, and sensitivity and specificity of 58.10% and 60.80% respectively), the effect of predicting the incidence risk of women is the best. The 13 obesity- and lipid-related indices in this study have modest significance for predicting HTN in Chinese middle-aged and elderly patients. WHtR and Tyg-WHtR are the most cost-effective indicators with moderate predictive value of the development of HTN.

Li Y ，Gui J ，Zhang X ，Wang Y ，Mei Y ，Yang X ，Liu H ，Guo LL ，Li J ，Lei Y ，Li X ，Sun L ，Yang L ，Yuan T ，Wang C ，Zhang D ，Wei H ，Li J ，Liu M ，Hua Y ，Zhang L ... -  《BMC Cardiovascular Disorders》