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A Holistic Approach to Metabolic Health Assessment-Analysis of Bioimpedance, Blood, and Saliva Biochemistry in
Aleksandra Stawiarska1, Renata Francik1, Anna Mikulec2
1The Faculty of Medicine and Health Sciences, University of Applied Sciences in Nowy Sącz, Kościuszki 2G, 33-300 Nowy Sącz, Poland.
Background:
Metabolic syndrome is a multifaceted condition involving lipid and carbohydrate metabolism disorders and hypertension, increasing the risk of cardiovascular disease and type 2 diabetes. Accurate diagnosis and prevention require an interdisciplinary approach that includes both traditional lab tests and modern, non-invasive health assessments.
Methods:
This study aimed to evaluate metabolic health in adults from the Małopolska Voivodeship by analyzing the relationships between obesity indicators (BMI, waist circumference) and anthropometric, blood, and salivary biomarkers. Sixty-three participants (36 women, 27 men) aged 40-71 underwent body composition analysis (InBody 770), anthropometric measurements, and biochemical tests of blood and saliva. Assessed parameters included body composition (BMI, BFM, FFM, SMM, PBF, VFA, PA), blood pressure, blood biomarkers (glucose, TG, LDL, HDL, HbA1c, insulin, cortisol), and salivary markers (FRAP, DPPH, urea, amylase activity, protein content, pH, buffering capacity).
Results:
The results showed a strong correlation between body composition and biochemical markers, but the results of the analyzed salivary biomarkers were inconclusive and, in some cases, contradictory to the findings of other authors.
Conclusions:
Fat mass, cell integrity, and diastolic pressure were key determinants of waist circumference. Our research confirms the validity of using combined diagnostics, bioimpedance, and blood analysis for a comprehensive assessment of metabolic health and indicates the direction for further research using salivary biomarkers. A holistic approach improves risk assessment and strengthens preventive and therapeutic strategies. However, our pilot study showed that the research requires a larger sample size, especially in order to draw representative conclusions regarding salivary biomarkers and their relationship to metabolic health.
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