PP369 - NON-LINEAR ASSOCIATIONS BETWEEN METABOLIC VULNERABILITY INDICES AND SARCOPENIA RISK: A PROSPECTIVE COHORT STUDY

PP369

NON-LINEAR ASSOCIATIONS BETWEEN METABOLIC VULNERABILITY INDICES AND SARCOPENIA RISK: A PROSPECTIVE COHORT STUDY

Y. Zhao¹, X. Liu¹, Y. Li¹, N. Chen¹, T. Liang¹, J. Cui^1,*

¹The First Hospital of Jilin University, Changchun, China

Rationale: Sarcopenia, characterized by progressive decline in muscle mass and function, has become a global public health concern. However, the exact relationship between metabolic vulnerability and sarcopenia development remains incompletely elucidated. This study aimed to investigate the associations between different metabolic vulnerability indices and sarcopenia risk.

Methods: This study, based on a large population cohort (n=225,784), analyzed the relationships between three metabolic vulnerability indices (insulin vulnerability index [IVX], vascular metabolic vulnerability index [MVX], and muscle metabolic vulnerability index [MMX]) and sarcopenia. Using cross-sectional and prospective designs, associations between metabolic vulnerability indices and sarcopenia were assessed through Cox proportional hazards models, and restricted cubic spline analyses.

Results: In fully adjusted models, IVX and MVX were significantly associated with sarcopenia prevalence (highest quartile IVX: OR 2.26, 95% CI 1.91-2.66; MVX: OR 1.95, 95% CI 1.67-2.29), while MMX showed a negative association (OR 0.77, 95% CI 0.65-0.91). Prospective analyses confirmed these associations (highest quartile IVX: HR 1.92, 95% CI 1.50-2.46; MVX: HR 1.72, 95% CI 1.36-2.18). RCS analyses revealed non-linear dose-response relationships. The associations between metabolic vulnerability and sarcopenia were stronger in populations with high BMI and elevated inflammatory markers (CRP).

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Conclusion: This study reveals complex non-linear relationships between metabolic vulnerability indices and sarcopenia risk, suggesting that multiple biological mechanisms, including mitochondrial dysfunction, anabolic resistance, muscle fat infiltration, and chronic inflammation, may mediate these relationships. These findings provide a basis for developing targeted prevention strategies addressing metabolic vulnerability as a modifiable risk factor.

Disclosure of Interest: None declared