0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessAims 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.
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.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
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
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access