Anthropometric Indices and Their Relationship With Coronary Artery Diseases

Abstract

Background: Despite efforts made by the medical community and public health officials for combating 76 obesity, the prevalence of overweight and obesity has increased over the past 20 years. 77 Obesity was associated with some cardiovascular risk factors and increased the incidence of 78 cardiovascular disease. Diagnosis of Coronary Artery Disease (CAD) in patients with obesity 79 will affect secondary prevention of the disease and management programs; for this reason it is 80 necessary to use a suitable method for determining obesity Objectives: The current study aimed to investigate the relationship between some anthropometric indices and Coronary Artery Disease (CAD) risk factors and also to determine predictive factors of CAD among the indices. Patients and Methods:This cross-sectional study was performed on 300 men and nonpregnant woman with CAD aged 18 -60 years referred to Hazrate Rasool Hospital in Tehran, Iran. Anthropometric indices, including waist circumference, waist-to-height ratio, Neck Circumference (NC), body mass index and Abdominal Volume Index (AVI) and hematological factors were measured using the standard methods. According to angiography reports, the participants were divided into patients with or without CAD. To evaluate the possible correlations between anthropometric indices and CAD risk factors, Pearson correlation coefficients were used. The Receiver operating characteristic (ROC) curve was used to determine the sensitivity and specificity and the best cut-off point of anthropometric indices. Results: The mean age of the CAD-positive group was 53.43 ± 4.96 years and the mean age of the CAD-negative group was 49.9 ± 6.83 years (P > 0.05). All of the anthropometric indices and cardiovascular risk factors were higher in the CAD-positive group, while there was a significance correlation between HDL-c (High-density lipoprotein) and these risk factors (P < 0.05). The area under the curve of AVI had the highest value (0.722) compared to other anthropometric indices. The results of multiple-regression analysis showed that NC was a better predictor of the risk of CAD compared to other anthropometric indices (P = 0.46, OR = 1.207 and CI = 1.004 -1.451). Conclusions: According to the results of the study, abdominal obesity is as a risk factor for atherosclerosis. Therefore, the use of a simple, low cost and high precision method for determining visceral obesity and preventing the CAD is warranted.

A Study of Correlation of Anthropometric Data with Atherogenic Indices of Students of Rivers State University, Port Harcourt, Nigeria

“…However, WC and WHtR showed no significant differences. Our finding is consistent with the work of [1,31,32]. Syed [1], reported increased levels of anthropometric data such as WC, BMI and WHR in individuals with attributes of cardiovascular risks such as obesity and type 2 diabetics.…”

“…More so, WHR indicated significant positive correlation and NHDL, AC, CRI-1 and CRI-2. This finding is in concordance with the works of [5,7,24,31]. Shabara and Shatida [5], reported positive correlation between WHR and CRI-1 as well as between WC and CRI-1 in obese Punjabi subjects.…”

“…In addition, Daif and Khaled [24], further reported that anthropometric data such as WC was associated with CRI-1. In the same vein, Arjmad et al [31], stated in their work that WHR correlated positively with CRI-1 while WC correlated positively with CRI-2 when studying the association between anthropometric indices and coronary artery disease. The results obtained suggest that WC and WHR are sensitive and better markers of cardiovascular risks compared to BMI and WHtR.…”

“…Syed [1], reported increased levels of anthropometric data such as WC, BMI and WHR in individuals with attributes of cardiovascular risks such as obesity and type 2 diabetics. Also, Arjmand et al [31], stated in their paper that WHR and WC were increased in obese individuals and were correlated positively with CRI-1 (TC/HDL-C) and CRI-2 (LDL-C/HDL-C). Kayode et al [32], also reported increase in WC and WHR in obese diabetic individuals as well as a good correlation in these obese diabetic patients.…”

Effectiveness of a bioactive food compound in anthropometric measures of individuals with HIV/AIDS: A nonrandomized trial

“…However, the measurement of WC in overweight/obese men correlated more strongly with MeS [ 41 ]. This is another index that provides satisfactory and similar performances to discriminate high coronary risks [ 42 ].…”