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Purpose <p>Metabolic Syndrome (MetS) increases cardiovascular disease risk, yet early identification of pre-MetS remains challenging. The Simple Method for Quantifying MetS (siMS) score offers potential for detecting cardiometabolic burden in younger and middle-aged, relatively healthy populations.</p> Methods <p>We stratified 51 healthy adults (aged 18–60 years) into Low siMS (LMS, siMS &lt; 2.085, <i>n</i> = 25) and High siMS (HMS, siMS ≥ 2.085, <i>n</i> = 26) groups based on the median siMS score and compared central hemodynamic parameters, heart rate variability (HRV), and microvascular function as independent predictors of cardiometabolic risk between these groups. Anthropometrics, body composition, hemodynamics (e.g., central blood pressure [BP], mean arterial pressure [MAP]), HRV (e.g., %R-R intervals &gt; 50 msec, pNN50; high-frequency power), microvascular reactivity (near-infrared spectroscopy vascular occlusion test), blood glucose and lipid profiles, and dietary intake were assessed using established protocols.</p> Results <p>The HMS group exhibited significantly higher body mass, body mass index (BMI), waist and hip circumferences, fat mass, visceral fat, central and peripheral BP, MAP, and augmentation index adjusted to 75&#xa0;bpm (all <i>p</i> ≤ 0.004), alongside lower HRV metrics (pNN50, high-frequency power, low-frequency power, and total power, <i>p</i> ≤ 0.003), indicating increased cardiometabolic burden. No differences were observed in blood glucose, lipids, dietary intakes, or microvascular reactivity.</p> Conclusion <p>These findings suggest that higher siMS scores reflect early cardiometabolic risk through adverse hemodynamic and autonomic profiles, even in the absence of overt MetS, metabolic abnormalities, or detectable microvascular dysfunction. The siMS score may serve as a proactive tool for identifying at-risk individuals, supporting targeted interventions to mitigate long-term cardiometabolic risk.</p>

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The simplified method for quantifying metabolic syndrome (siMS) score reflects an increased cardiometabolic burden: adiposity, hemodynamics, and HRV findings in young adults

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年2月19日

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  • Christopher J. Kotarsky,
  • Jillian M. Lang,
  • Elena S. Shostak,
  • William Quinn,
  • Valerie Chervinskaya,
  • Elisa Fioraso,
  • Everett Smith,
  • Justin A. DeBlauw,
  • Jennifer Lloyd,
  • Stephen J. Ives

摘要

Purpose

Metabolic Syndrome (MetS) increases cardiovascular disease risk, yet early identification of pre-MetS remains challenging. The Simple Method for Quantifying MetS (siMS) score offers potential for detecting cardiometabolic burden in younger and middle-aged, relatively healthy populations.

Methods

We stratified 51 healthy adults (aged 18–60 years) into Low siMS (LMS, siMS < 2.085, n = 25) and High siMS (HMS, siMS ≥ 2.085, n = 26) groups based on the median siMS score and compared central hemodynamic parameters, heart rate variability (HRV), and microvascular function as independent predictors of cardiometabolic risk between these groups. Anthropometrics, body composition, hemodynamics (e.g., central blood pressure [BP], mean arterial pressure [MAP]), HRV (e.g., %R-R intervals > 50 msec, pNN50; high-frequency power), microvascular reactivity (near-infrared spectroscopy vascular occlusion test), blood glucose and lipid profiles, and dietary intake were assessed using established protocols.

Results

The HMS group exhibited significantly higher body mass, body mass index (BMI), waist and hip circumferences, fat mass, visceral fat, central and peripheral BP, MAP, and augmentation index adjusted to 75 bpm (all p ≤ 0.004), alongside lower HRV metrics (pNN50, high-frequency power, low-frequency power, and total power, p ≤ 0.003), indicating increased cardiometabolic burden. No differences were observed in blood glucose, lipids, dietary intakes, or microvascular reactivity.

Conclusion

These findings suggest that higher siMS scores reflect early cardiometabolic risk through adverse hemodynamic and autonomic profiles, even in the absence of overt MetS, metabolic abnormalities, or detectable microvascular dysfunction. The siMS score may serve as a proactive tool for identifying at-risk individuals, supporting targeted interventions to mitigate long-term cardiometabolic risk.