Publication: High-Risk Obesity Phenotypes: Target for Multimorbidity Prevention at the ROFEMI Study.
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Identifiers
Date
2022-08-02
Authors
Carretero-Gomez, Juana
Perez-Martinez, Pablo
Segui-Ripoll, Jose Miguel
Carrasco-Sanchez, Francisco Javier
Lois Martinez, Nagore
Fernandez Perez, Esther
Perez Hernandez, Onan
Garcia Ordoñez, Miguel Angel
Martin Gonzalez, Candelaria
Vigueras-Perez, Juan Francisco
Advisors
Journal Title
Journal ISSN
Volume Title
Publisher
MDPI
Abstract
Background: Describe the profile of patients with obesity in internal medicine to determine the role of adiposity and related inflammation on the metabolic risk profile and, identify various “high-risk obesity” phenotypes by means of a cluster analysis. This study aimed to identify different profiles of patients with high-risk obesity based on a cluster analysis. Methods: Cross-sectional, multicenter project that included outpatients attended to in internal medicine. A total of 536 patients were studied. The mean age was 62 years, 51% were women. Patients were recruited from internal medicine departments over two weeks in November and December 2021 and classified into four risk groups according to body mass index (BMI) and waist circumference (WC). High-risk obesity was defined as BMI > 35 Kg/m2 or BMI 30−34.9 Kg/m2 and a high WC (>102 cm for men and >88 cm for women). Hierarchical and partitioning clustering approaches were performed to identify profiles. Results: A total of 462 (86%) subjects were classified into the high-risk obesity group. After excluding 19 patients missing critical data, two profiles emerged: cluster 1 (n = 396) and cluster 2 (n = 47). Compared to cluster 1, cluster 2 had a worse profile, characterized by older age (77 ± 16 vs. 61 ± 21 years, p 35 Kg/m2 or BMI 30−34.9 Kg/m2 and a high WC (>102 cm for men and >88 cm for women). Hierarchical and partitioning clustering approaches were performed to identify profiles. Results: A total of 462 (86%) subjects were classified into the high-risk obesity group. After excluding 19 patients missing critical data, two profiles emerged: cluster 1 (n = 396) and cluster 2 (n = 47). Compared to cluster 1, cluster 2 had a worse profile, characterized by older age (77 ± 16 vs. 61 ± 21 years, p 102 cm for men and >88 cm for women). Hierarchical and partitioning clustering approaches were performed to identify profiles. Results: A total of 462 (86%) subjects were classified into the high-risk obesity group. After excluding 19 patients missing critical data, two profiles emerged: cluster 1 (n = 396) and cluster 2 (n = 47). Compared to cluster 1, cluster 2 had a worse profile, characterized by older age (77 ± 16 vs. 61 ± 21 years, p 88 cm for women). Hierarchical and partitioning clustering approaches were performed to identify profiles. Results: A total of 462 (86%) subjects were classified into the high-risk obesity group. After excluding 19 patients missing critical data, two profiles emerged: cluster 1 (n = 396) and cluster 2 (n = 47). Compared to cluster 1, cluster 2 had a worse profile, characterized by older age (77 ± 16 vs. 61 ± 21 years, p 3 (53% vs. 5%, p< 0.001), depression (36% vs. 19%, p = 0.008), severe disability
(64% vs. 3%, p < 0.001), and a sarcopenia score ≥ 4 (79% vs. 16%, p < 0.01). In addition, cluster 2 had greater inflammation than cluster 1 (hsCRP: 5.8 ± 4.1 vs. 2.1 ± 4.5 mg/dL, p = 0.008). Conclusions: Two profiles of subjects with high-risk obesity were identified. Based on that, older subjects with obesity
require measures that target sarcopenia, disability, psychological health, and significant comorbidities to prevent further health deterioration. Longitudinal studies should be performed to identify potential risk factors of subjects who progress from cluster 1 to cluster 2.
Description
MeSH Terms
Middle Aged
Body Mass Index
C-Reactive Protein
Adiposity
Outpatients
Sarcopenia
Depression
Body Mass Index
C-Reactive Protein
Adiposity
Outpatients
Sarcopenia
Depression
DeCS Terms
Adiposidad
Depresión
Pacientes ambulatorios
Proteína C-reactiva
Índice de masa corporal
Depresión
Pacientes ambulatorios
Proteína C-reactiva
Índice de masa corporal
CIE Terms
Keywords
Adiposity, Inflammation, Obesity, Phenotypes, Waist circumference, Área de Gestión Sanitaria Norte de Málaga
Citation
Carretero-Gómez J, Pérez-Martínez P, Seguí-Ripoll JM, Carrasco-Sánchez FJ, Lois Martínez N, Fernández Pérez E, et al. High-Risk Obesity Phenotypes: Target for Multimorbidity Prevention at the ROFEMI Study. J Clin Med. 2022 Aug 9;11(16):4644