Confirmatory factor analysis including MRI-derived adipose tissues quantification improves associations of metabolic dysregulation to diastolic dysfunction
Klarenberg, Hugo; Dekkers, Ilona A; Peeters, Carel F W; de Mutsert, R; Jukema, J Wouter; Rosendaal, Frits R; Leiner, Tim; Gosselink, Mark; Froeling, Martijn; Strijkers, Gustav J; Boekholdt, S Matthijs; Lamb, Hildo J
(2022) Journal of Diabetes and its Complications, volume 36, issue 6
(Letter)
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
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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 -11.83 ms in females [-17.38; -6.27] 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.
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Keywords: Adipose Tissue/diagnostic imaging, Cross-Sectional Studies, Factor Analysis, Statistical, Female, Humans, Magnetic Resonance Imaging, Male, Metabolic Syndrome/complications, Obesity/complications, Obesity, Metabolic syndrome, Epidemiology, Magnetic resonance imaging, Confirmatory factor analysis, Diastolic dysfunction, Endocrinology, Internal Medicine, Endocrinology, Diabetes and Metabolism, Letter
ISSN: 1056-8727
Publisher: Elsevier Inc.
Note: Funding Information: The NEO study is supported by the participating departments, the Division and the Board of Directors of the Leiden University Medical Centre , and by the Leiden University , Research Profile Area ‘Vascular and Regenerative Medicine’. “Coagulation factor analyses were funded by ‘Stichting De Merel’. Stichting De Merel had no role in the study design, data collection and analysis, decision to publish, or preparation, review, or approval of the manuscript.” Publisher Copyright: © 2022 Elsevier Inc.
(Peer reviewed)