Journal of diabetes and metabolic disorders · 2026
The simplified method for quantifying metabolic syndrome (siMS) score reflects an increased cardiometabolic burden: adiposity, hemodynamics, and HRV findings in young adults.
СтатьяНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Kotarsky Christopher J, Lang Jillian M, Shostak Elena S, Quinn William, Chervinskaya Valerie, Fioraso Elisa, Smith Everett, DeBlauw Justin A, Lloyd Jennifer, Ives Stephen J
Аннотация
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.
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.