Body Composition Profiling in the UK Biobank Imaging Study
Open accessAbstract
OBJECTIVE: This study aimed to investigate the value of imaging-based multivariable body composition profiling by describing its association with coronary heart disease (CHD), type 2 diabetes (T2D), and metabolic health on individual and population levels. METHODS: The first 6,021 participants scanned by UK Biobank were included. Body composition profiles (BCPs) were calculated, including abdominal subcutaneous adipose tissue, visceral adipose tissue (VAT), thigh muscle volume, liver fat, and muscle fat infiltration (MFI), determined using magnetic resonance imaging. Associations between BCP and metabolic status were investigated using matching procedures and multivariable statistical modeling. RESULTS: Matched control analysis showed that higher VAT and MFI were associated with CHD and T2D (P < 0.001). Higher liver fat was associated with T2D (P < 0.001) and lower liver fat with CHD (P < 0.05), matching on VAT. Multivariable modeling showed that lower VAT and MFI were associated with metabolic health (P < 0.001), and liver fat was nonsignificant. Associations remained significant adjusting for sex, age, BMI, alcohol, smoking, and physical activity. CONCLUSIONS: Body composition profiling enabled an intuitive visualization of body composition and showed the complexity of associations between fat distribution and metabolic status, stressing the importance of a multivariable approach. Different diseases were linked to different BCPs, which could not be described by a single fat compartment alone.
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The same scanning procedure, image analyses, and methods of quantification for muscle volume and muscle fat infiltration were used in the SURPASS-3 MRI substudy as in the UK Biobank.
“The same scanning procedure, image analyses, and methods of quantification for muscle volume and muscle fat infiltration were used in the SURPASS-3 MRI substudy as in the UK Biobank.15,16”
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References 39 · Cited by 223
Research works printed but not linked: 1
- [24]Bamberg F, Hetterich H, Rospleszcz S, et al. Subclinical disease burden as assessed by whole‐body mri in subjects with prediabetes, subjects with diabetes, and normal control subjects from the general population: The KORA‐MRI Study. Diabetes 2017; 66: 158‐ 169. 27999110
- Authors
- Linge, J., Borga, M., West, J., Tuthill, T., Miller, M. R., Dumitriu, A., Thomas, E. L., Romu, T., Tunón, P., Bell, J. D., & Dahlqvist Leinhard, O.
- Affiliations
- AMRA Medical AB Linköping Sweden
- Linköping University (SE)
- Pfizer (United States) (US)
- University of Westminster (GB)
- Corresponding author
- Linge, Jennifer
- ORCID
- Venue
- Obesity
- Publisher
- Wiley
- Published
- 2018-05-22
- Volume
- 26
- Issue
- 11
- Pages
- 1785-1795
- ISSN
- 1930-7381 (ISSN-L)
- 1930-739X
- PMC
- PMC6220857
- OpenAlex
- W2800324981
- Cited by
- 223
- References
- 39
- Citations by year
- 2026: 27 · 2025: 38 · 2024: 47 · 2023: 28 · 2022: 27 · 2021: 15 · 2020: 24 · 2019: 11 · 2018: 5
- FWCI
- 9.43
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Obesity (publishedVersion, cc-by-nc-nd)
- Europe PMC (PubMed Central) (publishedVersion, other-oa)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- WestminsterResearch (University of Westminster) (acceptedVersion)
- WestminsterResearch (University of Westminster) (acceptedVersion, cc-by-nc-nd)
- KTH Publication Database DiVA (KTH Royal Institute of Technology) (submittedVersion, other-oa)
- Funders
- Pfizer
- Topics
- Health Sciences › Medicine › Physiology › Body Composition Measurement Techniques
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Disease and Adiposity
- Keywords
- coronary artery disease, type 2 diabetes, visceral adipose tissue, muscle fat infiltration, liver fat, thigh muscle volume, subcutaneous abdominal fat, metabolic health, body fat distribution, magnetic resonance imaging
- MeSH terms
- Adult, Aged, Body Composition, Female, United Kingdom, Humans, Male, Middle Aged, Biological Specimen Banks
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