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Ntougou Assoumou HG, Pichot V, Barthelemy JC, Celle S, Garcin A, Thomas T, Roche F. Obesity related to metabolic syndrome: comparison of obesity indicators in an older french population. Diabetol Metab Syndr 2023; 15:98. [PMID: 37165462 PMCID: PMC10173621 DOI: 10.1186/s13098-023-01078-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2023] [Accepted: 05/01/2023] [Indexed: 05/12/2023] Open
Abstract
OBJECTIVES Metabolic syndrome (MS) represents a cluster of metabolic abnormalities. Insulin resistance is a major component of the syndrome. We analyze in this study the relationship between body fat composition and MS in comparison to usual obesity indicators in an older adult population. DESIGN The PROgnostic indicator OF cardiovascular and cerebrovascular events (PROOF) study is a prospective longitudinal community cohort study among the inhabitants of Saint-Etienne, France. METHODS The study is a cohort study of 1011 subjects, mean age 65.6 ± 0.8 years old at inclusion, recruited from the electoral list of the town in 2000. Among them, 806 subjects realized a Dual-energy X-ray absorptiometry (DXA) used to evaluate body fat and lean mass repartition. We evaluate biological metabolic parameters according to usual techniques. The indices of obesity were calculated according to standard formula. MS presence and its components were simultaneously evaluated. RESULTS All obesity parameters were significantly higher (p < 0.0001) in subjects suffering metabolic syndrome as compared to those without. Body fat index (BFI) presented a stronger correlation to total fat mass, trunk fat mass and body adiposity index (BAI). The correlations between body indices and metabolic components showed that body mass index (BMI) and waist circumference were more strongly associated with BFI as compared to BAI and total fat mass. According to logistic regression analysis, only the waist-hip ratio (WHR) demonstrated a significant association with MS severity (p < 0.0001). CONCLUSIONS Among the obesity indices, BFI and BAI represented the best indicators to characterize global obesity while WHR only is highly predictive of metabolic syndrome presence and severity. The BAI indicator is an alternative for measuring obesity. Comparison of long-term impact of such markers on cardiovascular morbidity and mortality is now questioned.
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Affiliation(s)
- Hourfil-Gabin Ntougou Assoumou
- Ecole Normale Supérieure, Libreville, Gabon
- Clinical and Exercise Physiology Laboratory, University Hospital, Saint-Etienne, F-42055, France
| | - Vincent Pichot
- Clinical and Exercise Physiology Laboratory, University Hospital, Saint-Etienne, F-42055, France
- INSERM, U1059 Sainbiose, Jean Monnet University, Mines Saint Etienne Faculté de Médecine, Campus Santé Innovation, Saint-Étienne, F-42023, France
| | - Jean-Claude Barthelemy
- INSERM, U1059 Sainbiose, Jean Monnet University, Mines Saint Etienne Faculté de Médecine, Campus Santé Innovation, Saint-Étienne, F-42023, France
| | - Sébastien Celle
- Clinical and Exercise Physiology Laboratory, University Hospital, Saint-Etienne, F-42055, France
- INSERM, U1059 Sainbiose, Jean Monnet University, Mines Saint Etienne Faculté de Médecine, Campus Santé Innovation, Saint-Étienne, F-42023, France
| | - Arnauld Garcin
- Clinical and Exercise Physiology Laboratory, University Hospital, Saint-Etienne, F-42055, France
| | - Thierry Thomas
- INSERM, U1059 Sainbiose, Jean Monnet University, Mines Saint Etienne Faculté de Médecine, Campus Santé Innovation, Saint-Étienne, F-42023, France
- Rhumatology Dpt, University Hospital, Saint-Etienne, F-42055, France
| | - Frédéric Roche
- Clinical and Exercise Physiology Laboratory, University Hospital, Saint-Etienne, F-42055, France.
- INSERM, U1059 Sainbiose, Jean Monnet University, Mines Saint Etienne Faculté de Médecine, Campus Santé Innovation, Saint-Étienne, F-42023, France.
- Centre VISAS, Bâtiment A, CHU Nord, Saint Etienne Cedex 2, F-42055, France.
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Body Mass Index Is Independently Associated with the Presence of Ischemia in Myocardial Perfusion Imaging. MEDICINA (KAUNAS, LITHUANIA) 2022; 58:medicina58080987. [PMID: 35893102 PMCID: PMC9332284 DOI: 10.3390/medicina58080987] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/26/2022] [Revised: 07/19/2022] [Accepted: 07/21/2022] [Indexed: 12/14/2022]
Abstract
Background and Objectives: Obesity has been linked to various cardiovascular risk factors, increased incidence of coronary artery disease, and myocardial perfusion defects. The aim of this study was to investigate if body mass index (BMI) and waist circumference (WC) were associated with myocardial perfusion defects. Materials and Methods: A total of 308 consecutive patients who had myocardial perfusion imaging (MPI) with single photon emission computed tomography (SPECT) and a complete medical record on file were studied retrospectively. Results: The median age was 69 (61−76) years, the BMI was 27.6 (24.4−30.7) kg/m2, and the WC was 110 (102−118) cm. Of the 308 patients, 239 patients (77.6%) had myocardial ischemia. A positive test for ischemia was more frequent in men compared to women (72 vs. 28%, p < 0.001). Within the male group, BMI and WC were not significantly different between the ischemia and non-ischemia groups. In contrast, within the female group, both BMI (30.2 vs. 27.1 kg/m2, p = 0.002) and WC (112 vs. 105.5 cm, p = 0.020) were significantly higher in the ischemia group. Multivariable logistic regression showed that male sex and BMI were the only two independent predictors of ischemia in our patient population. Conclusions: This study showed that BMI was an independent predictor of ischemia in our patient population.
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