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The Role of Traditional Obesity Parameters in Predicting Frailty among Coronary Artery Disease Patients Undergoing Cardiac Catheterization
BACKGROUND: Obesity has been reported to be associated with frailty and coronary artery disease (CAD). OBJECTIVE: The present study aimed to investigate the role of the seven traditional obesity parameters body mass index (BMI), waist-height ratio (WHtR), waist-hip ratio (WHR), body adiposity index...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9484977/ https://www.ncbi.nlm.nih.gov/pubmed/36160288 http://dx.doi.org/10.1155/2022/8676274 |
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author | Hayajneh, Audai A. Alhusban, Islam M. Rababa, Mohammad |
author_facet | Hayajneh, Audai A. Alhusban, Islam M. Rababa, Mohammad |
author_sort | Hayajneh, Audai A. |
collection | PubMed |
description | BACKGROUND: Obesity has been reported to be associated with frailty and coronary artery disease (CAD). OBJECTIVE: The present study aimed to investigate the role of the seven traditional obesity parameters body mass index (BMI), waist-height ratio (WHtR), waist-hip ratio (WHR), body adiposity index (BAI), body shape index (BSI), waist circumference (WC), and hip circumference (HC) in the prediction of frailty among CAD patients undergoing cardiac catheterization. DESIGN: A secondary data analysis was conducted. Setting. Three main hospitals were located at the northern and middle regions of Jordan. Participants. 220 hospitalized patients undergoing cardiac catheterization were recruited. Measurements. The traditional obesity parameters were measured using an anthropometric tape and weight scale and frailty was measured using the Tilburg Frailty Indicator (TFI). Data were analyzed using bivariate Pearson's correlation and forward linear regression analysis. RESULTS: Total cholesterol, HC, triglycerides, age, random blood sugar, and WC had significant positive associations with and were predictors of frailty (p < 0.05). The model of the seven predictors explained 32.4% of the variance in frailty (p = 0.02). CONCLUSION: The incidence of frailty can be predicted by the increase in total cholesterol, HC, triglycerides, age, random blood sugar, and WC. The results of this study may help healthcare providers, including nurses, to identify the factors that could lead to frailty among CAD patients undergoing cardiac catheterization. |
format | Online Article Text |
id | pubmed-9484977 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-94849772022-09-23 The Role of Traditional Obesity Parameters in Predicting Frailty among Coronary Artery Disease Patients Undergoing Cardiac Catheterization Hayajneh, Audai A. Alhusban, Islam M. Rababa, Mohammad Int J Clin Pract Research Article BACKGROUND: Obesity has been reported to be associated with frailty and coronary artery disease (CAD). OBJECTIVE: The present study aimed to investigate the role of the seven traditional obesity parameters body mass index (BMI), waist-height ratio (WHtR), waist-hip ratio (WHR), body adiposity index (BAI), body shape index (BSI), waist circumference (WC), and hip circumference (HC) in the prediction of frailty among CAD patients undergoing cardiac catheterization. DESIGN: A secondary data analysis was conducted. Setting. Three main hospitals were located at the northern and middle regions of Jordan. Participants. 220 hospitalized patients undergoing cardiac catheterization were recruited. Measurements. The traditional obesity parameters were measured using an anthropometric tape and weight scale and frailty was measured using the Tilburg Frailty Indicator (TFI). Data were analyzed using bivariate Pearson's correlation and forward linear regression analysis. RESULTS: Total cholesterol, HC, triglycerides, age, random blood sugar, and WC had significant positive associations with and were predictors of frailty (p < 0.05). The model of the seven predictors explained 32.4% of the variance in frailty (p = 0.02). CONCLUSION: The incidence of frailty can be predicted by the increase in total cholesterol, HC, triglycerides, age, random blood sugar, and WC. The results of this study may help healthcare providers, including nurses, to identify the factors that could lead to frailty among CAD patients undergoing cardiac catheterization. Hindawi 2022-09-12 /pmc/articles/PMC9484977/ /pubmed/36160288 http://dx.doi.org/10.1155/2022/8676274 Text en Copyright © 2022 Audai A. Hayajneh et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Hayajneh, Audai A. Alhusban, Islam M. Rababa, Mohammad The Role of Traditional Obesity Parameters in Predicting Frailty among Coronary Artery Disease Patients Undergoing Cardiac Catheterization |
title | The Role of Traditional Obesity Parameters in Predicting Frailty among Coronary Artery Disease Patients Undergoing Cardiac Catheterization |
title_full | The Role of Traditional Obesity Parameters in Predicting Frailty among Coronary Artery Disease Patients Undergoing Cardiac Catheterization |
title_fullStr | The Role of Traditional Obesity Parameters in Predicting Frailty among Coronary Artery Disease Patients Undergoing Cardiac Catheterization |
title_full_unstemmed | The Role of Traditional Obesity Parameters in Predicting Frailty among Coronary Artery Disease Patients Undergoing Cardiac Catheterization |
title_short | The Role of Traditional Obesity Parameters in Predicting Frailty among Coronary Artery Disease Patients Undergoing Cardiac Catheterization |
title_sort | role of traditional obesity parameters in predicting frailty among coronary artery disease patients undergoing cardiac catheterization |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9484977/ https://www.ncbi.nlm.nih.gov/pubmed/36160288 http://dx.doi.org/10.1155/2022/8676274 |
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