Waist-to-height ratio has a stronger association with cardiovascular risks than waist circumference, waist-hip ratio and body mass index in type 2 diabetes

Author(s):  
Jiang-Feng Ke ◽  
Jun-Wei Wang ◽  
Jun-Xi Lu ◽  
Zhi-Hui Zhang ◽  
Yun Liu ◽  
...  
Nutrition ◽  
2020 ◽  
Vol 79-80 ◽  
pp. 110932
Author(s):  
Fanny Petermann-Rocha ◽  
Natalia Ulloa ◽  
María Adela Martínez-Sanguinetti ◽  
Ana María Leiva ◽  
Miquel Martorell ◽  
...  

2011 ◽  
Vol 38 (9) ◽  
pp. 2063-2070 ◽  
Author(s):  
Bhamidipati Narasimha Murthy ◽  
Ngianga-Bakwin Kandala ◽  
Radhakrishnan Ezhil ◽  
Prabhdeep Kaur ◽  
Ramachandra Sudha

2019 ◽  
Vol 7 (1) ◽  
pp. 17-21 ◽  
Author(s):  
Bishal Joshi ◽  
Laxmi Shrestha ◽  
Kushal Bhattarai ◽  
Nilu Manandhar ◽  
Narayan Bahadur Mahotra

INTRODUCTION: Many studies have shown the association of waist circumference, waist hip ratio and body mass index with type 2 diabetes mellitus. Waist circumference and waist hip ratio have been used as measures of central obesity and body mass index has been used as a measure of general obesity. Objective of this study is to find out which type of obesity is better for prediction of risk of type 2 diabetes mellitus.  MATERIAL AND METHODS:Total 100 participants with confirmed diagnosis of type 2 DM with age group 35-80 years were selected for the study. Anthropometric measurements like height, weight, waist circumference (WC) and hip circumference were measured and body mass index (BMI) and waist hip ratio (WHR) were calculated. Area under receiver operating characteristic (ROC) curve was used for correlating the parameters with type 2 diabetes mellitus in both male and female patients.  RESULTS: Area under ROC curve, a measure of performance of the indices in predicting diabetes in total subjects, was found to be highest for waist hip ratio (0.840) followed by waist circumference (0.688) and BMI (0.608). Similarly, area under ROC curve was found maximum for waist hip ratio followed by waist circumference and body mass index in case of male and female patients.  CONCLUSION: The present study concludes that anthropometric indicators of central obesity (WHR and WC) are more predictive for type 2 DM than anthropometric indicator of general obesity (BMI).


Author(s):  
Sally Sonia Simmons ◽  
John Elvis Hagan ◽  
Thomas Schack

Hypertension is a major public health burden in Bangladesh. However, studies considering the underlying multifaceted risk factors of this health condition are sparse. The present study concurrently examines anthropometric parameters and intermediary factors influencing hypertension risk in Bangladesh. Using the 2018 World Health Organisation (WHO) STEPwise approach to non-communicable disease risk factor surveillance (STEPS) study conducted in Bangladesh and involving 8019 nationally representative adult respondents, bivariate and multivariate logistic regression analyses were performed to determine the association between anthropometrics, other intermediary factors and hypertension. The regression results were presented using the odds ratio (OR) and adjusted odds ratio (AOR) at 95% confidence intervals (CIs). The risk of hypertension was higher among females and males who were 40 years and older. However, among females, those who were age 60 years and older were more than twice and thrice more likely to be hypertensive compared to those in the younger age groups (18–39, 40–59). Females who were obese (body mass index [BMI], waist to hip ratio [WHR], waist to height ratio [WHtR]) or had high waist circumference [WC] were twice as likely to be hypertensive. Males and females who were physically active, consuming more fruits and vegetables daily and educated had lower odds of developing hypertension. Key findings suggest that the association between anthropometric indices (body mass index [BMI], waist to hip ratio [WHR], waist to height ratio [WHtR]), waist circumference [WC]), other intermediary determinants (e.g., education, physical activity) and hypertension exist across gender and with increasing age among adults in Bangladesh. Developing appropriate public health interventions (e.g., regular assessment of anthropometric parameters) for early identification of the risk and pattern of hypertension through appropriate screening and diagnosis is required to meet the specific health needs of the adult Bangladesh population.


2010 ◽  
Vol 63 (9-10) ◽  
pp. 611-615 ◽  
Author(s):  
Branka Koprivica ◽  
Teodora Beljic-Zivkovic ◽  
Tatjana Ille

Introduction. Insulin resistance is a well-known leading factor in the development of metabolic syndrome. The aim of this study was to evaluate metabolic effects of metformin added to sulfonylurea in unsuccessfully treated type 2 diabetic patients with metabolic syndrome. Material and methods. A group of thirty subjects, with type 2 diabetes, secondary sulfonylurea failure and metabolic syndrome were administered the combined therapy of sulfonylurea plus metformin for six months. Metformin 2000 mg/d was added to previously used sulfonylurea agent in maximum daily dose. Antihypertensive and hypolipemic therapy was not changed. The following parameters were assessed at the beginning and after six months of therapy: glycemic control, body mass index, waist circumference, blood pressure, triglycerides, total cholesterol and its fractions, homeostatic models for evaluation of insulin resistance and secretion (HOMA R, HOMA B) and C- peptide. Results. Glycemic control was significantly improved after six months of the combined therapy: (fasting 7.89 vs. 10.61 mmol/l. p<0.01; postprandial 11.12 vs. 12.61 mmol/l. p<0.01, p<0.01; glycosylated hemoglobin 6.81 vs. 8.83%. p<0.01). the body mass index and waist circumference were significantly lower (26.7 vs. 27.8 kg/m2, p<0.01 and 99.7 vs. 101.4 cm for men, p<0.01; 87.2 vs. 88.5 for women, p<0.01). Fasting plasma triglycerides decreased from 3.37 to 2.45 mmol/l (p<0.001) and HOMA R from 7.04 to 5.23 (p<0.001). No treatment effects were observed on blood pressure, cholesterol, and residual insulin secretion. Conclusion. Administration of metformin in type 2 diabetes with metabolic syndrome decreased cardiovascular risk factors by reducing glycemia, triglycerides, BMI, central obesity and insulin resistance.


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