Observational studyMedicine2025
Evaluation of the relationship between body composition measurements and metabolic syndrome severity score in obese individuals.
Observational study in Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Untargeted metabolomics identifies altered metabolome contributing to hypertension in late adolescents.Journal of translational medicine · 2026Article
- Galectin-1, Adiponectin, Leptin, and the Adiponectin to Leptin Ratio as Predictors of Metabolic Syndrome: Influence of Age and Body Mass Index.BioMed research international · 2026Article
- Body Muscle-to-Fat Ratio (BMFR) as a Promising Anthropometric Index for Use in the Evaluation of Insulin Resistance and Metabolic Disease Risk: a Narrative Review.Current obesity reports · 2025Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Metabolic syndrome, characterized by a combination of obesity, hypertension, and metabolic abnormalities (lipid and glucose dysregulation), significantly increases the risk of cardiovascular diseases. This study aimed to explore the association between body composition and severity of metabolic syndrome in obese individuals. This cross-sectional study analyzed data from 180 individuals who sought treatment at an obesity center. Key variables included body mass index (BMI), fat mass, muscle mass, and the metabolic syndrome severity score. Logistic regression was used to evaluate the relationship between body composition parameters and metabolic syndrome severity score. Of the 180 participants, 92.8% were female and 7.2% were male. Individuals with higher metabolic syndrome severity scores had significantly higher age, BMI, fat mass, muscle mass, and fat and muscle ratios. Logistic regression analysis revealed that each 1-unit increase in BMI was associated with a 1.288-fold increase in the risk of a higher metabolic syndrome severity score. However, fat and muscle mass as well as their percentages were not significantly associated with the score. BMI emerged as a key factor influencing the severity of metabolic syndrome in obese individuals, whereas other body composition parameters did not show a significant relationship. These findings highlight the importance of BMI in the management of obesity and metabolic syndrome, and underscore the need for further research with larger sample sizes.
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Registered trials
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