Abstract
Introduction: Cardio-metabolic risks are tested to show various anthropometric measurements. This study aimed to evaluate a body shape index (ABSI) of individuals with obesity to determine the role of these measurements in cardiovascular risk prediction.Methods: This cross-sectional study included 368 patients who were evaluated by the researcher in the polyclinic. Sociodemographic information was obtained, and anthropometric measurements were made. Body mass index (BMI), waist circumference, and ABSI were evaluated in all patients. The patient’s risk of developing cardiovascular disease was calculated from the pooled cohort equations risk calculator (PRCAE), Framingham risk score, and systematic coronary risk evaluation (SCORE) risk calculation systems.Results: Of the 368 patients in the study, 302 (82.1%) were females, and 66 (17.9%) were males. The average age of participants was 46.2 ± 12.0 years. The median BMI of participants was 37.5 (34.0-42.4) kg/m2. The median ABSI of participants was 0.0816 (0.0775-0.0849). A positive correlation was found between ABSI and Framingham risk score and PRCAE risk score (r = 0.297, p = 0.000 and r = 0.305, p = 0.000, respectively). A significant relationship was found between ABSI and Framingham, PRCAE, and SCORE risk groups (p = 0.000, p = 0.000, and p = 0.000, respectively).Conclusions: Our study results revealed a significant association of ABSI with Framingham, PRCAE, and SCORE risk calculation systems, which helps predict cardiovascular risk.
Highlights
IntroductionThis study aimed to evaluate a body shape index (ABSI) of individuals with obesity to determine the role of these measurements in cardiovascular risk prediction
Cardio-metabolic risks are tested to show various anthropometric measurements
A significant relationship was found between a body shape index (ABSI) and Framingham, PRCAE, and systematic coronary risk evaluation (SCORE) risk groups of the participants (p = 0.000, p = 0.000, and p = 0.000, respectively)
Summary
This study aimed to evaluate a body shape index (ABSI) of individuals with obesity to determine the role of these measurements in cardiovascular risk prediction. Obesity is one of the most serious health problems [1] and is a risk factor for many diseases worldwide [2]. Obesity, which can begin in childhood, is associated with all risk factors, such as hypertension, hyperlipidemia, insulin resistance, and diabetes mellitus, which can lead to cardiometabolic diseases in adulthood. Body mass index (BMI) with the calculation of body weight (kg)/height square meter (m) is often used in the definition of obesity. BMI indicates patients at high cardiometabolic risk [1]. Studies show that waist circumference measurement is more valuable in determining abdominal obesity [4,5]
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