What question did this study set out to answer?

The study aims to assess the utility of a US-developed MetS severity calculator in different groups of women in Estonia.

February 14, 2026Open Access

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

Key Points

The study aims to assess the utility of a US-developed MetS severity calculator in different groups of women in Estonia.
Sample included 153 women aged 20-50 years from three groups: CDP users, physically active, and control group.
Factors assessed included age, gender, BMI, systolic blood pressure, HDL cholesterol, triglycerides, and fasting glucose.
Statistical analyses included descriptive statistics, t-tests, and χ2 tests.
Physically active group was younger and had a lower BMI (p < 0.05).
CDP group had lower HDL cholesterol levels (p < 0.017).
MetS percentiles were higher in the CDP group compared to physically active and control groups.

Abstract

Background and Objectives: 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. Materials and Methods: 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, t-tests, and χ2 tests. Differences were considered statistically significant at p ≤ 0.05 and at 1). Conclusions: 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.

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