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Exploring new tools for risk classification among adults with several degrees of obesity

dc.contributor.authorWestphal-Nardo, Greice
dc.contributor.authorChaput, Jean-Philippe
dc.contributor.authorFaúndez Casanova, César
dc.contributor.authorMolena Fernandes, Carlos Alexandre
dc.contributor.authorde Andrade Gonçalves, Eliane Cristina
dc.contributor.authorTomiazzi Utrila, Raquel
dc.contributor.authorOltramari, Karine
dc.contributor.authorFerraz Grizzo, Felipe Merchan
dc.contributor.authorNardo-Junior, Nelson
dc.date.accessioned2023-08-28T22:16:05Z
dc.date.available2023-08-28T22:16:05Z
dc.date.issued2023
dc.identifier.urihttp://repositorio.ucm.cl/handle/ucm/4933
dc.description.abstractThe epidemic of obesity worldwide has been recognized as a very important challenge. Within its complexity, the identification of higher-risk patients is essential, as it is unsustainable to offer access to treatment to all people with obesity. Several new approaches have recently been presented as important tools for risk stratification. In this research, we applied several of these tools in a cross-sectional study involving adults with obesity classes I, II, III, and super-obesity. The participants had their cardiometabolic risk profiles assessed. The study included adults with obesity aged 18 to 50 years (n = 404), who were evaluated using anthropometric, body composition, hemodynamic, physical fitness, and biochemical assessments. These variables were used to identify the prevalence of risk factors for cardiometabolic diseases according to the classes of obesity by gender and age group. The results showed high prevalence of risk factors, especially among the upper classes of obesity (BMI > 35 kg/m2) using single parameters as the waist circumference, with almost 90% above the cut-off point. For smaller numbers such as Glycated Hemoglobin, however, the prevalence was around 30%. Indexes such as the atherogenic index of plasma (AIP) had the highest prevalence, with 100% of the male participants identified as being at increased risk for cardiovascular disease.es_CL
dc.language.isoenes_CL
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 Chile*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/*
dc.sourceInternational Journal of Environmental Research and Public Health, 20(13), 6263es_CL
dc.subjectObesityes_CL
dc.subjectRisk assessmentes_CL
dc.subjectMetabolic syndromees_CL
dc.subjectAIPes_CL
dc.subjectHOMA-IRes_CL
dc.subjectRisk stratificationes_CL
dc.titleExploring new tools for risk classification among adults with several degrees of obesityes_CL
dc.typeArticlees_CL
dc.ucm.facultadFacultad de Ciencias de la Educaciónes_CL
dc.ucm.indexacionScopuses_CL
dc.ucm.urimdpi.com/1660-4601/20/13/6263es_CL
dc.ucm.doidoi.org/10.3390/ijerph20136263es_CL


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