Waist-to-height ratio is an appropriate index for identifying cardiometabolic risk in Chinese individuals with normal body mass index and waist circumference.

The waist-to-height ratio (WHtR), a novel index that has been reported to correlate more strongly than body mass index (BMI) and waist circumference (WC) with cardiometabolic risk factors, has not been studied in Chinese individuals with normal body mass index and waist circumference. The present study compared the predictive power of WHtR with those of BMI and WC for such factors in non-obese Chinese, and to define optimal cutoffs of WHtR in this population. A total of 2137 subjects aged 40-75 years were recruited. Three anthropometric indices (WHtR, BMI, and WC) were compared and the optimal cutoffs of WHtR were identified by receiver operating characteristic curve (ROC) analysis. WHtR was divided into four quartiles (WHtR-Q), and multiple linear regression analyses were used to calculate the relationship between WHtR-Q and clinical biochemical index. Waist-to-height ratio was more efficient than WC to identify cardiometabolic risk factors in both genders, but was only superior to BMI in females. WHtR-Q was positively correlated with fasting plasma glucose, 2-h postprandial blood glucose, and systolic blood pressure, and negatively connected with high density lipoprotein cholesterol in both genders after controlling for age, current smoking and drinking, moderate-intensity physical activity, daily sedentary time, daily screen time and menopause (only for females). The optimal cutoffs of WHtR for detecting cardiometabolic risk factors were 0.47 in males and 0.51 in females. Waist-to-height ratio might be an effective index to identify cardiometabolic risk factors in Chinese with normal BMI and WC, particularly in females.

Zhu Q ，Shen F ，Ye T ，Zhou Q ，Deng H ，Gu X ... -  《-》

Comparison of the ability to identify cardiometabolic risk factors between two new body indices and waist-to-height ratio among Chinese adults with normal BMI and waist circumference.

Liu PJ ，Ma F ，Lou HP ，Zhu YN ... -  《-》

Waist-to-Height Ratio Compared to Standard Obesity Measures as Predictor of Cardiometabolic Risk Factors in Asian Indians in North India.

Vikram NK ，Latifi AN ，Misra A ，Luthra K ，Bhatt SP ，Guleria R ，Pandey RM ... -  《-》

Determining the best method for evaluating obesity and the risk for non-communicable diseases in women of childbearing age by measuring the body mass index, waist circumference, waist-to-hip ratio, waist-to-height ratio, A Body Shape Index, and hip index.

Non-communicable diseases (NCDs) are linked to excessive adiposity and anthropometric indices can be used to identify those at risk. The aim of this study was to evaluate the precision of anthropometric indices in identifying obesity and risk factors for NCDs and to investigate the emergence of obesity-related NCDs in young women in Sri Lanka. We recruited 282 women 18 to 35 y of age from suburban and rural areas in Sri Lanka. We measured the women's height, weight, body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), A Body Shape Index(ABSI), hip circumference (HC), hip index (HI), anthropometric risk index (ARI), fasting serum glucose, fasting serum insulin, homeostatic model assessment for insulin resistance, cholesterol, high-density lipoprotein, low-density lipoprotein, triacylglycerols, and ovulatory gonadal hormones (progesterone, testosterone). Comparisons were made between women with normal BMI and those who were overweight or obese using anthropometric and biochemical characteristics. The prevalence of obesity was highest in WC and in receiver operating characteristic analysis, BMI, WC, and WHtR showed higher sensitivity and lower 1-specificity as indicators of obesity. BMI had an area under the curve (AUC) of 1.000 with 100% sensitivity and 0% 1-specificity. WC had an AUC of 0.941 with 80% sensitivity and 13.4% 1-specificity. Additionally, WHtR showed a 0.974 AUC, 92.1% sensitivity, and 4.9% 1-specificity. The correlations between body size and shapes were assessed among the study participants using Pearson's correlation. More than other measures, WC and WHtR showed a significant correlation with BMI with P < 0.05 (r = 0.888 and 0.737, respectively). Although ABSI and BMI showed only a weak correlation (P = 0.006, r = 0.162), WHR and BMI showed a moderate correlation (P = 0.001, r = 0.477). Although HI demonstrated a negative association with BMI (P = 0.618, r = -0.030), HC exhibited a strong association (P = 0.001, r = 0.749). A significant association with higher odds ratios was found for obesity-related NCD risk factors such as hypertension, homeostatic model assessment for insulin resistance, hypercholesterolemia, altered ovulatory hormones with these (BMI, WC, WHR, WHtR, ABSI, HI) obesity-assessing criteria (P < 0.05). A significant correlation between WC and hypertriacylglycerolmia (P = 0.001, r = 0.781, odds ratio, >16) was identified. A positive correlation was observed between all MS components and ARI, indicating that ARI may serve as a potential indicator of cardiometabolic risk. BMI, WC, WHtR, and HC are intercorrelated anthropometric measurements that can be used either alone or in combination to define obesity and detect the risk for NCDs, including diabetes mellitus, cardiovascular disease, and infertility. On the other hand, BMI, ABSI, and HI are designed to be mutually independent indices and have the advantage of combining the separate risks to generate an overall ARI. Furthermore, ARI appears to be a highly effective predictor of cardiovascular disease.

Hewage N ，Wijesekara U ，Perera R 《-》

Waist-to-height ratio, waist circumference, body mass index, waist divided by height(0.5) and the risk of cardiometabolic multimorbidity: A national longitudinal cohort study.

Cardiometabolic multimorbidity (CM) is an increasing public health burden. This study aimed to evaluate the association of waist-to-height ratio (WHtR), waist circumference (WC), waist divided by height0.5 (WHT.5R) and body mass index (BMI) with the risk of CM. We used data from the China Health and Retirement Longitudinal Study (CHARLS). A total of 10,521 participants aged 45 years and over were recruited, including 8807 individuals with 0 cardiometabolic diseases at baseline (stage I) and 1714 individuals with 1 cardiometabolic disease at baseline (stage II). CM was defined as self-reporting of two or more of the following conditions: stroke, diabetes and heart disease. Logistic regression was conducted to estimate the odds ratios (ORs) and 95% confidence intervals (CIs). The net reclassification index (NRI) and integrated discrimination improvement (IDI) were used to evaluate the incremental predictive value beyond conventional factors. In stage I, an increased risk of CM was observed among participants with WHtR ≥0.5 (OR: 1.76, 95% CI: 1.05-2.97), WC ≥ 90 cm (men) + WC ≥ 80 cm (women) (OR: 2.06, 95% CI: 1.29-3.27), WHT.5R ≥ 6.54 cm0.5 (OR: 1.81, 95% CI: 1.16-2.83) or BMI ≥24 kg/m2 (OR: 1.48, 95% CI: 0.98-2.24). Furthermore, the NRI and IDI of WHtR, WC and WHT.5R were all higher than those of BMI. In stage II, the adjusted ORs (95% CIs) of WHtR, WC, WHT.5R and BMI were 2.04 (1.24-3.35), 1.89 (1.29-2.77), 1.86 (1.24-2.78) and 1.47 (1.06-2.04), respectively. In addition, WC exhibited the highest NRI and IDI. WHtR, WC, WHT.5R and BMI are independent predictors of CM in the middle-aged and older Chinese population. WHtR, WC and WHT.5R show better abilities in predicting CM than BMI.

Lu Y ，Liu S ，Qiao Y ，Li G ，Wu Y ，Ke C ... -  《-》