High Glucose Variability Linked to Muscle Loss in Older Adults With Type 2 Diabetes: Study

A new study published in the journal of Frontiers in Endocrinology showed that in older persons with type 2 diabetes, higher glycemic variability is independently linked to reduced pectoralis muscle mass, especially in those with normal body weight or longer illness duration.

Patients with type 2 diabetes mellitus (T2DM) are more likely to have functional decline and muscle loss as the population ages. While glucose variability (GV), measured by continuous glucose monitoring (CGM), may result in more serious muscle damage through oxidative stress, standard HbA1c measures average glucose. At the same time, opportunistic chest CT scans provide a useful method for measuring muscle mass using the pectoralis muscle index (PMI). In order to enhance the prevention of diabetic sarcopenia in adults, this retrospective study of 303 older T2DM patients fills a research gap by examining whether CGM-derived GV independently correlates with decreased CT-based PMI.

303 senior T2DM patients who had chest CT scans and continuous glucose monitoring between October 2022 and December 2025 were included in this retrospective cross-sectional analysis. Coefficient of variation (CV), mean amplitude of glycemic excursions (MAGE), standard deviation (SD), mean of daily differences, time in range, time above range, time below range (TBR), and mean blood glucose were among the metrics used to evaluate glycemic variability. CT scans at the T4 vertebral level were used to calculate the pectoralis muscle index (PMI). Sensitivity analysis, subgroup analyses, and multivariable linear regression were carried out.

After controlling for covariates, four glycemic variability indicators—CV, SD, MAGE, and TBR—were independently linked to decreased PMI (all P < 0.05). 

The biggest percentage of PMI variation was explained by CV (adjusted R2 = 0.22), followed by TBR (0.21), SD (0.20), and MAGE (0.19). CV and PMI showed a linear dose-response association (P for trend < 0.001). 

Patients with BMI < 24 kg/m² (β = –0.18, P < 0.001) and those with diabetes duration > 10 years (β = –0.18, P < 0.001) showed a greater inverse correlation, with significant interactions for both categories (P = 0.022 and 0.027, respectively). 

Sensitivity analyses verified these results' robustness.

Overall, the results of this study indicate that stabilizing glycemic fluctuations may be a crucial factor in lowering the risk of muscle loss in the elderly diabetes population, in addition to reaching target HbA1c levels. To verify causation and assess whether glycemic variability-focused therapies might lessen the burden of diabetic sarcopenia, more prospective research is necessary.

Source:

Zhang, X.-L., Bai, N., Mao, C.-P., & Liu, C.-Y. (2026). Glycemic variability and muscle loss in elderly type 2 diabetes: insights from continuous glucose monitoring and chest CT in 303 patients. Frontiers in Endocrinology, 17(1863226), 1863226. https://doi.org/10.3389/fendo.2026.1863226