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  5. Confirmatory factor analysis including MRI-derived adipose tissues quantification improves associations of metabolic dysregulation to diastolic dysfunction

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Letter
English
2022

Confirmatory factor analysis including MRI-derived adipose tissues quantification improves associations of metabolic dysregulation to diastolic dysfunction

0 Datasets

0 Files

English
2022
Journal of Diabetes and its Complications
Vol 36 (6)
DOI: 10.1016/j.jdiacomp.2022.108202

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Frits R. Rosendaal
Frits R. Rosendaal

Leiden University

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Hugo Klarenberg
Ilona A. Dekkers
Carel F.W. Peeters
+9 more

Abstract

Aims To quantify metabolic impairment via a one-factor approach with confirmatory factor analysis (CFA) including MRI-derived visceral and subcutaneous adipose tissues and to associate it with diastolic dysfunction. Methods In this cross-sectional analysis, 916 participants (53% female, mean age (SD): 56 (6)) underwent abdominal and cardiovascular MRI. With CFA a metabolic-load factor of metabolic-syndrome variables and visceral and subcutaneous adipose tissues was constructed. A piecewise structural equation model approach with adjustment for confounding factors was used to determine associations with left-ventricular diastolic function, cardiac morphology and hemodynamics. Results Model fitting excluding blood pressure and waist circumference but including visceral and subcutaneous adipose tissues, fasting glucose, HDL-c and triglycerides was used to construct the metabolic-load factor. Evaluating measurement invariance demonstrated sex-specificity. Change in mitral early/late peak filling rate ratio was −0.12 for both males [−0.20; −0.05, p > 0.05] and females [−0.17; −0.07, p > 0.001] per SD of metabolic-load factor. Change in deceleration time of mitral early filling was −11.83ms only in females [−17.38; −6.27, p > 0.001] per SD of metabolic-load factor. Conclusion A single latent metabolic-load factor via CFA including MRI-derived adipose tissues increased sensitivity for metabolic impairment obsoleting waist circumference and is associated with a decreased left-ventricular diastolic function, more apparent in females than in males.

How to cite this publication

Hugo Klarenberg, Ilona A. Dekkers, Carel F.W. Peeters, Renée de Mutsert, J. Wouter Jukema, Frits R. Rosendaal, Tim Leiner, Mark Gosselink, Martijn Froeling, Gustav J. Strijkers, S. Matthijs Boekholdt, Hildo J. Lamb (2022). Confirmatory factor analysis including MRI-derived adipose tissues quantification improves associations of metabolic dysregulation to diastolic dysfunction. Journal of Diabetes and its Complications, 36(6), pp. 108202-108202, DOI: 10.1016/j.jdiacomp.2022.108202.

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Publication Details

Type

Letter

Year

2022

Authors

12

Datasets

0

Total Files

0

Language

English

Journal

Journal of Diabetes and its Complications

DOI

10.1016/j.jdiacomp.2022.108202

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