Key result
Novel metabolic and anthropometric model explains ~32% of the variance in frailty scores.
Why the study?
Obesity is associated with frailty and CAD, but the role of traditional obesity parameters in predicting frailty among CAD patients undergoing cardiac catheterization required investigation.
Do traditional obesity parameters predict frailty in coronary artery disease patients undergoing cardiac catheterization?
Cross-Sectional (n=220)
Yes
Do traditional obesity parameters predict frailty in coronary artery disease patients undergoing cardiac catheterization?
Traditional obesity parameters, specifically hip and waist circumference, along with age and metabolic markers, significantly predict frailty in CAD patients undergoing cardiac catheterization.
Answers are grounded in this paper and cite their sources.
May inform frailty assessment via metabolic markers in CAD; hypothesis-generating and requires prospective validation before practice change.
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.
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Hayajneh et al. (2022) conducted a cross-sectional in Coronary artery disease (n=220). Traditional obesity parameters and health biomarkers was evaluated on Variance in frailty score (Tilburg Frailty Indicator) (32.4% variance explained, p=0.02). A predictive model consisting of total cholesterol, hip circumference, age, triglycerides, random blood sugar, waist circumference, and HDL explained 32.4% of the variance in frailty scores (p=0.02).
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