Explanators of Sarcopenia in Individuals With Diabesity: A Cross-Sectional Analysis.
Adam J Bittel, Daniel C Bittel, Lori J Tuttle and 4 others
PMID 26859462WHAT IT FOUND
A model combining leg fat content, ankle strength, and stair power accurately identified sarcopenia in adults with diabetes and obesity.
Leg fat above 21%, ankle strength below 68 Nm, or stair power under 441 watts suggested sarcopenia, though MRI access limits clinical use.
Key findings
01A logistic regression model using leg intermuscular adipose tissue (IMAT), plantar flexion torque, and stair power achieved 80% sensitivity and 89% specificity for classifying sarcopenia.
02Critical values for identifying sarcopenia were 21% for leg IMAT, 68 Nm for plantar flexion torque, and 441 watts for stair power.
03Individuals classified as sarcopenic had significantly greater leg IMAT and reduced stair power compared to non-sarcopenic individuals, but plantar flexion torque did not differ between groups.
STILL TO COME
How it was doneWhat they foundWhat it means for PTsWhat it means for OTs
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What it does not show
The sample size was small (n=43), which limits the generalizability of the diagnostic cutoffs. The most predictive measure, leg IMAT, requires MRI, making the combined model impractical for routine clinical screening. The study used a cross-sectional design, so it cannot establish causality or track progression over time. Sarcopenia classification relied on DXA-derived indices rather than the current EWGSOP2 criteria involving gait speed and grip strength, which may affect applicability. There were no significant differences in plantar flexion torque between sarcopenic and non-sarcopenic groups, despite torque being included in the predictive model.
Declared interests
The authors declare no conflicts of interest. The study was supported by the National Institute of Diabetes and Digestive and Kidney Diseases and the National Institute on Aging.
The easy way to misread this
Do not assume that plantar flexion torque alone is a reliable indicator of sarcopenia in this population, as the study found no significant difference in torque between sarcopenic and non-sarcopenic groups. The diagnostic accuracy relied heavily on the combination of measures, including MRI-based leg fat content, which is not clinically accessible.