AI Article Synopsis

  • This study investigates how systemic inflammation is linked to Metabolic Syndrome (MetS) in different age groups, aiming to provide tailored health recommendations.
  • The research analyzed data from nearly 16,000 adults, revealing that higher levels of systemic immune-inflammation are a significant risk factor for MetS, especially in individuals aged 18-65.
  • The findings indicate that the inflammatory response's effects may differ by age and lifestyle factors, suggesting the need for continued research on varying inflammatory responses in relation to MetS.*

Article Abstract

Background: This research aims to investigate the connection between systemic inflammatory response and Metabolic Syndrome (MetS) across different age groups, with the aim of proposing more targeted recommendations.

Methods: This study enrolled 15,959 adults from the 2001-2018 National Health and Nutrition Examination Survey(NHANES) of whom 6,739 were diagnosed with MetS.After dividing Systemic Immune-Inflammation Index (SII) into four quartiles, Kruskal-Wallis test and weighted chi-square test was employed to assess statistical differences. Weighted multivariable logistic regression analysis, subgroup analysis, sensitivity analysis and restricted cubic spline (RCS) were employed to examine the relationship between SII and MetS.

Results: Our study revealed that SII exhibits a quantitative association with MetS (OR=1.56; 95% CI: 1.37-1.79; p < 0.001). Elevated SII is an independent risk factor for the five components of MetS. Different age group and alcohol consumption status could modify the connection between SII and MetS. This connection was statistically significant in the 18-65 age group but not in the elderly subgroup (OR = 1.08; 95% CI: 0.95-1.23; p = 0.248). Multiple imputation confirmed the robustness of our results. Moreover, the connection exhibits an inverted U-shaped curve.

Conclusions: Our research highlights the predictive significance of SII in forecasting the incidence of MetS in young and middle-aged population. The differences in inflammatory mechanisms across various age groups necessitate further research for exploration.

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http://dx.doi.org/10.1210/clinem/dgae669DOI Listing

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