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
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Relationship between measures of central and general adiposity with aortic stiffness in the general population.
Increased aortic stiffness may be one of the mechanisms by which obesity increases cardiovascular risk independently of traditional risk factors. While body mass index (BMI) is generally used to define excess adiposity, several studies have suggested that measures of central obesity may be better predictors of cardiovascular risk. However, data comparing the association between several measures of central and general obesity with aortic stiffness in the general population are inconclusive.
In 1031 individuals (age 53 ± 13 years, 45% men) without manifest cardiovascular disease randomly selected from population, we tested the association between parameters of central obesity (waist circumference - WC, waist-to-hip-ratio - WHR, waist-to-height ratio - WHtR) and general obesity (BMI) with carotid-femoral pulse wave velocity (cfPWV).
In univariate analysis, WC and WHtR were more strongly associated with cfPWV than BMI in both genders, while WHR showed a stronger association with cfPWV only in women. WHtR was more closely associated with cfPVW than WHR. This difference between obesity measures remained after multivariate adjustment. When the fully adjusted hierarchical regression was used, among central obesity measures, WHtR had the largest additive value on top of BMI, while there was no additive value of BMI on top of WHtR.
Central obesity parameters are more closely associated with aortic stiffness than BMI. Of central adiposity measures, WHtR has the strongest association with aortic stiffness beyond body mass index and cardiovascular risk factors. Our results suggest that WHtR may be the best anthropometric measure of excess adiposity in the general population.
Wohlfahrt P
，Somers VK
，Cifkova R
，Filipovsky J
，Seidlerova J
，Krajcoviechova A
，Sochor O
，Kullo IJ
，Lopez-Jimenez F
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