Muscle and fat estimates help assess health risks in adults
Equations developed in 38,542 UK Biobank participants helped assess 168,875 adults at high risk of obesity accompanied by low muscle mass and strength.
Paper by Jing Zhu, Xiaodan Ou, Shaowei Lin et al.
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Biomarkers- Studied:
- Accepted, not yet published: cohort study of 168,875 people (Independent replication)
Editor of record: Boris Djordjevic · AgingResearch.News
Middle-aged and older adults in the UK Biobank formed the basis of an observational study of sarcopenic obesity, a combination of obesity with low muscle mass and strength. Researchers developed equations using routine body measurements and physical function measures from 38,542 participants who underwent scans measuring muscle and fat. They checked the equations in a separate US database, then applied them in a guideline-based assessment of 168,875 participants at high risk of the condition.
The estimates closely matched scan measurements. The new definition performed better at identifying the condition and predicting health outcomes than conventional equations or a definition based on grip strength. Risk was greatest in people with both low muscle strength and unfavorable muscle and fat levels. Links with stroke and diabetes weakened over follow-up but stayed in the same direction.
Why it matters
Limited access to body-composition scans can hinder assessment of sarcopenic obesity in middle-aged and older adults. The authors proposed the framework as an option when scans are unavailable, not a replacement for them.
Caveats
In participants assessed again later, the initial classification missed many cases identified by scans, and agreement declined over longer intervals. Other health differences between groups may also have contributed to the links with adverse outcomes.
The paper
Jing Zhu, Xiaodan Ou, Shaowei Lin et al.
Frontiers in Public Health, Nov 9, 2026, CC BY, Accepted, not yet published
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