ArticleJournal of cachexia, sarcopenia and muscle2023
Defining reference values for body composition indices by magnetic resonance imaging in UK Biobank.
Article in Journal of cachexia, sarcopenia and muscle, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Myosteatosis: an emerging biomarker of aging.Frontiers in aging · 2026Review
- MRI-Derived Body Composition and Breast Cancer Risk in Postmenopausal Women: UK Biobank Study.Cancers · 2025Article
- Novel Algorithm to Estimate Fat-Free Muscle Volumes in Women Using the Urinary Deuterated-Creatine Dilution Method.Journal of cachexia, sarcopenia and muscle · 2025Article
- Beyond body mass index: exploring the role of visceral adipose tissue in intensive care unit outcomes.BJA open · 2025Review
- Subcutaneous and Visceral Adipose Tissue Reference Values From the Framingham Heart Study Thoracic and Abdominal CT.Investigative radiology · 2025Observational
- What is normal age-related thigh muscle composition among 45- to 84-year-old adults from the UK Biobank study.GeroScience · 2025Article
- Diagnostic Power of Serum Creatinine/Cystatin C Ratio for Identifying Low MRI-Muscle Volume and Low Grip Strength: Data From 9 731 to 149 707 UK Biobank Older Adults.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024Observational
- Interactions between muscle volume and body mass index on brain structure in the UK Biobank.Frontiers in dementia · 2024Article
- Defining reference values for body composition indices by magnetic resonance imaging in UK Biobank.Journal of cachexia, sarcopenia and muscle · 2023Article
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10 authors.
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Abstract
backgroundMagnetic resonance imaging (MRI) is the gold standard for evaluating body composition. However, the reference ranges have not been established.
methodsThree lean tissue and seven adipose tissue parameters based on MRI data from the UK Biobank were used in this study. Participants with European ancestry and data on at least one parameter were screened. Age- and sex-specific percentile curves were generated using the lambda-mu-sigma method. Three levels of reference ranges were provided, which were equivalent to the mean ± 1 standard deviation (SD), 2 SDs and 2.5 SDs.
resultsThe final analysis set for each parameter ranged from 4842 to 14 148 participants (53.4%-56.6% women) with a median age of 61. For lean tissue parameters, compared with those at age 45, the median total lean tissue volume and total thigh fat-free muscle volume at age 70 were 2.83 and 1.73 L, and 3.02 and 1.51 L lower in men and women, respectively. The median weight-to-muscle ratios at age 45 were 0.51 and 0.83 kg/L lower compared with those at age 70 in men and women, respectively. Adipose tissue parameters showed inconsistent differences. In men, the median muscle fat infiltration, visceral adipose tissue (VAT) volume, total abdominal adipose tissue index and abdominal fat ratio were 1.48%, 0.32 L, 0.08 L/m
conclusionsWe have established reference ranges for MRI-measured body composition parameters in a large community-dwelling population. These findings provide a more accurate assessment of abnormal adipose and muscle conditions.
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