Utility of the US Metabolic Syndrome Severity Calculator for Group-Level Comparison in Estonia

<i>Background and Objectives</i>: Metabolic syndrome (MetS) is globally prevalent, highlighting the need for easy risk identification. This study determined the MetS severity score in different groups of women in Estonia using a calculator developed based on the US population. <i>Materials and Methods</i>: The sample included 153 women (20-50 years): commercial diet plan (CDP) users, physically active women (physical activity, PA, >5 h/week), and a control group (CG). The factors assessed included age, gender, body mass index (BMI), systolic blood pressure, high-density lipoprotein (HDL) cholesterol, triglycerides, and fasting glucose, yielding a MetS percentile and Z-score. Statistical analyses comprised descriptive statistics, <i>t</i>-tests, and χ² tests. Differences were considered statistically significant at <i>p</i> ≤ 0.05 and at <0.017 when comparing the three study groups. <i>Results</i>: The PA group was younger and had a lower BMI (<i>p</i> < 0.05), while the CDP group had lower HDL cholesterol levels (<i>p</i> < 0.017). MetS percentiles were higher in the CDP group (vs. PA <i>p</i> = 0.002; vs. CG <i>p</i> = 0.016). Despite having a lower Z-score than US women, the CDP group showed higher MetS severity levels (>1). <i>Conclusions</i>: The US calculator is also suitable for comparing different MetS risk study groups located outside the US, but for assessing individual MetS risk, it must be adapted and validated for the relevant population.