ISSN: 2300-9705
eISSN: 2353-2807
OAI
DOI: 10.18276/cej.2025.1-02
Liste der Ausgaben /
Vol. 49, No. 1/2025
Investigating Nutritional and Health Dynamics across Stratified Profiles of Obesity
| Autoren: |
Martina
Gažarová
Faculty of Agrobiology and Food Resources, Slovak University of Agriculture in Nitra, Slovakia Stanislav Azor
Technical University in Zvolen (Institute of Physical Education and Sports) Petra Lenártová
Faculty of Agrobiology and Food Resources, Slovak University of Agriculture in Nitra, Slovakia Karin Baisová
Institute of Physical Education and Sports, Technical University in Zvolen, Slovakia |
| Schlüsselbegriffe: | Anthropometry lipid profile metabolic health nutrition obesity. |
| Veröffentlichungsdatum der gesamten Ausgabe: | 2025-07-31 |
| Seitenanzahl: | 14 (19-32) |
| Klasyfikacja JEL: | I10 |
Abstract
The study investigates metabolically healthy obesity (MHO), a subgroup of obese individuals seemingly protected from cardiometabolic diseases. The lack of a standardized definition for MHO has led to variations in classification criteria. The research, involving 263 participants (64 meeting obesity criteria), assessed body composition using multi-frequency bioimpedance and determined biochemical parameters with Biolis 24i Premium. Statistical analysis employed STATISTICA 13 and MedCalc, with significance set at p < .05. Despite metabolically healthy subjects displaying elevated anthropometric values, their biochemical and somatic parameters remained within normal ranges. Surprisingly, a healthier metabolic profile did not correlate with reduced mortality risk. The study highlights the significant impact of different MHO definitions on prevalence estimates within the same population. Stricter criteria yielded lower prevalence, while broader criteria, such as a higher BMI plus one critical parameter, resulted in higher prevalence. Using various parameter combinations, the study identified MHO subjects, revealing significant differences in triglycerides, systolic, and diastolic blood pressure between MHO groups (p < .05). For instance, based on BMI and HDL, 56 subjects were identified, while BMI and TAG identified 38 subjects. The findings emphasize the necessity of considering all diagnostic criteria when diagnosing MHO. The study cautions against viewing MHO as a state of complete health, especially given the multifaceted health risks associated with obesity, encompassing cardiovascular, metabolic, orthopedic, dermatological, psychological, and other conditions. The research underlines the importance of accurate MHO classification in understanding its implications and underscores the need for a standardized definition in future studies to facilitate meaningful comparisons across diverse populations.
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