The correlation between indirect calorimetry data and the metabolic syndrome development in men and women

Fatemeh Roudi; Susan Darroudi; Effat Saghi; Seyed Reza Hosseini; Marzieh Kohantorabi; Alireza Rezvani; Tannaz Jamialahmadi; Amirhossein Sahebkar; Mohsen Moohebati; Majid Ghayour-Mobarhan

doi:10.1007/s40200-024-01521-4

The correlation between indirect calorimetry data and the metabolic syndrome development in men and women

J Diabetes Metab Disord. 2024 Dec 14;24(1):1. doi: 10.1007/s40200-024-01521-4. eCollection 2025 Jun.

Affiliations

¹ Department of Nutrition, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
² International UNESCO Center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran.
³ Metabolic Syndrome Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
⁴ Applied Biomedical Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
⁵ Cardiovascular Research Center, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.

PMID: 39686919
PMCID: PMC11646228 (available on 2025-12-14)
DOI: 10.1007/s40200-024-01521-4

Abstract

Objectives: To investigate the indirect calorimetric findings in subjects with Metabolic Syndrome (MetS) compared to those without MetS and explore the potential parameters for predicting MetS in susceptible individuals.

Methods: Data was collected from a cross-sectional study conducted during the second phase of The Mashhad Stroke and Heart Atherosclerotic Disorder (MASHAD) study, which involved 1,014 participants. The presence of MetS was determined using the National Cholesterol Education Program Adult Treatment Panel III criteria. The study involved taking anthropometric measurements, blood samples, and indirect calorimetry measurements.

Results: The study showed significant differences in MetS criteria between the groups with and without MetS. According to the results in men, an increase in resting metabolic rate (RMR)/weight decreased the likelihood of developing MetS. However, an increase in protein oxidation raised the probability of developing MetS. Moreover, an increased RMR/weight or RMR/ body surface area (BSA) decreased the likelihood of developing MetS in women. Based on the logistic regression analysis, men with a higher RMR/Weight had a lower risk of developing MetS. Conversely, an increase in protein oxidation can increase the risk of MetS. However, women with higher RMR/Weight and RMR/BSA had a reduced risk of developing MetS.

Conclusions: These findings suggest that variations in RMR and macronutrient oxidations may play a role in the development of MetS. Assessing RMR and macronutrient oxidation through indirect calorimetry could potentially be used as predictive parameters for MetS. Further research is needed to better understand the underlying mechanisms and implications of these findings.

Keywords: Indirect calorimetry; Macronutrient oxidation; Metabolic syndrome; Resting metabolic rate; Risk factors.

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