Abstract
OBJECTIVE: As the global population ages, promoting healthy aging has become increasingly important. Although metabolic syndrome (MetS) is associated with aging, current research evidence remains insufficient. METHODS: Data from the 1999-2010 National Health and Nutrition Examination Survey (NHANES) were used for analysis. This dataset includes comprehensive demographic characteristics and biochemical markers. Weighted multivariable logistic regression models were employed to analyze the associations between MetS, its components, and accelerated aging (quantified by PhenoAge Acceleration, PhenoAgeAccel). Restricted cubic spline (RCS) curves were used to explore non-linear relationships between MetS, its components, and PhenoAgeAccel. RESULTS: The study included 10,049 participants, with a mean age of 45.90 years. Compared to participants without MetS, those with MetS showed an increase in age by 0.61 years (β 0.61, 95% CI 0.12-1.10). Among the five components of MetS, after adjusting for all covariates, significant positive associations were observed only for hypertension (β 0.92, 95% CI 0.36-1.48), reduced HDL-C (β 0.66, 95% CI 0.28-1.04), and elevated blood glucose (β 1.43, 95% CI 0.92-1.94). CONCLUSION: Our study demonstrates that patients with MetS are associated with an increased risk of biological aging, with significant contributions from hypertension, elevated blood glucose levels, and reduced HDL-C to the aging process. These findings provide valuable insights for developing public health strategies to mitigate aging.