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

Hugo Klarenberg, Ilona A. Dekkers, Carel F. W. Peeters, R. de Mutsert, J. Wouter Jukema, Frits R. Rosendaal, Tim Leiner, Mark Gosselink, Martijn Froeling, Gustav J. Strijkers, S. Matthijs Boekholdt, Hildo J. Lamb

Research output: Contribution to journalComment/Letter to the editorAcademic

1 Citation (Scopus)

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 −11.83 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.
Original languageEnglish
Article number108202
JournalJournal of diabetes and its complications
Volume36
Issue number6
DOIs
Publication statusPublished - 1 Jun 2022

Keywords

  • Confirmatory factor analysis
  • Diastolic dysfunction
  • Epidemiology
  • Magnetic resonance imaging
  • Metabolic syndrome
  • Obesity

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