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Older Tissue Age Derived From Abdominal Computed Tomography Biomarkers of Muscle, Fat, and Bone Is Associated With Chronic Conditions and Higher Mortality

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Year: 2024
Type: article
Study design: Observational Study
Source: Mayo Clinic Proceedings
DOI: 10.1016/j.mayocp.2023.09.021
Authors: Andrew D. Rule, Brandon R. Grossardt, Alexander D. Weston, Hillary W. Garner, Timothy L. Kline, Alanna M. Chamberlain, Alina M. Allen, Bradley J. Erickson, Walter A. Rocca, Jennifer L. St. Sauver
Institutions: Mayo Clinic, Mayo Clinic in Florida
Language: English

Topic: Body Composition Measurement Techniques
Subfield: Physiology
Field: Medicine
Domain: Health Sciences
SDG: Good health and well-being

Open Access status: bronze

Funders: Mayo Clinic, National Institutes of Health, National Institute on Aging
Awards: Interdisciplinary Infrastructure for Aging Research: Rochester Epidemiology Project, G2600835495, G5772772772, G6842982902, Interdisciplinary Infrastructure for Aging Research: Rochester Epidemiology Project, A population-based study of deep learning derived organ and tissue measures for accelerated aging using repurposed abdominal CT images
OpenAlex ID: W4391484512
FWCI: 5.09
Cites: 50
Cited by: 18
Related to: 10
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