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Body Shape Index and Cardiovascular Risk in Individuals With Obesity

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...

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Autores principales: Hacıağaoğlu, Nazlı, Öner, Can, Çetin, Hüseyin, Şimşek, Engin Ersin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cureus 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8843105/
https://www.ncbi.nlm.nih.gov/pubmed/35178315
http://dx.doi.org/10.7759/cureus.21259
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author Hacıağaoğlu, Nazlı
Öner, Can
Çetin, Hüseyin
Şimşek, Engin Ersin
author_facet Hacıağaoğlu, Nazlı
Öner, Can
Çetin, Hüseyin
Şimşek, Engin Ersin
author_sort Hacıağaoğlu, Nazlı
collection PubMed
description 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/m(2). 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.
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spelling pubmed-88431052022-02-16 Body Shape Index and Cardiovascular Risk in Individuals With Obesity Hacıağaoğlu, Nazlı Öner, Can Çetin, Hüseyin Şimşek, Engin Ersin Cureus Endocrinology/Diabetes/Metabolism 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/m(2). 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. Cureus 2022-01-14 /pmc/articles/PMC8843105/ /pubmed/35178315 http://dx.doi.org/10.7759/cureus.21259 Text en Copyright © 2022, Hacıağaoğlu et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Endocrinology/Diabetes/Metabolism
Hacıağaoğlu, Nazlı
Öner, Can
Çetin, Hüseyin
Şimşek, Engin Ersin
Body Shape Index and Cardiovascular Risk in Individuals With Obesity
title Body Shape Index and Cardiovascular Risk in Individuals With Obesity
title_full Body Shape Index and Cardiovascular Risk in Individuals With Obesity
title_fullStr Body Shape Index and Cardiovascular Risk in Individuals With Obesity
title_full_unstemmed Body Shape Index and Cardiovascular Risk in Individuals With Obesity
title_short Body Shape Index and Cardiovascular Risk in Individuals With Obesity
title_sort body shape index and cardiovascular risk in individuals with obesity
topic Endocrinology/Diabetes/Metabolism
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8843105/
https://www.ncbi.nlm.nih.gov/pubmed/35178315
http://dx.doi.org/10.7759/cureus.21259
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