Exploring New Tools for Risk Classification among Adults with Several Degrees of Obesity

Greice Westphal-Nardo (), Jean-Philippe Chaput, César Faúndez-Casanova, Carlos Alexandre Molena Fernandes, Eliane Cristina de Andrade Gonçalves, Raquel Tomiazzi Utrila, Karine Oltramari, Felipe Merchan Ferraz Grizzo and Nelson Nardo-Junior
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Greice Westphal-Nardo: Department of Physical Education, Associate Graduate Program in Physical Education UEM/UEL, Health Sciences Center, State University of Maringa, Maringa 87020-900, Parana, Brazil
Jean-Philippe Chaput: Healthy Active Living and Obesity Research Group, Children’s Hospital of Eastern Ontario Research Institute, Ottawa, ON K1H 8L1, Canada
César Faúndez-Casanova: Department of Physical Education, Associate Graduate Program in Physical Education UEM/UEL, Health Sciences Center, State University of Maringa, Maringa 87020-900, Parana, Brazil
Carlos Alexandre Molena Fernandes: Center for Multiprofessional Studies on Obesity—NEMO/HUM/UEM, University Hospital of Maringa, State University of Maringa, Maringa 87083-240, Parana, Brazil
Eliane Cristina de Andrade Gonçalves: Center for Multiprofessional Studies on Obesity—NEMO/HUM/UEM, University Hospital of Maringa, State University of Maringa, Maringa 87083-240, Parana, Brazil
Raquel Tomiazzi Utrila: Center for Multiprofessional Studies on Obesity—NEMO/HUM/UEM, University Hospital of Maringa, State University of Maringa, Maringa 87083-240, Parana, Brazil
Karine Oltramari: Center for Multiprofessional Studies on Obesity—NEMO/HUM/UEM, University Hospital of Maringa, State University of Maringa, Maringa 87083-240, Parana, Brazil
Felipe Merchan Ferraz Grizzo: Center for Multiprofessional Studies on Obesity—NEMO/HUM/UEM, University Hospital of Maringa, State University of Maringa, Maringa 87083-240, Parana, Brazil
Nelson Nardo-Junior: Department of Physical Education, Associate Graduate Program in Physical Education UEM/UEL, Health Sciences Center, State University of Maringa, Maringa 87020-900, Parana, Brazil

IJERPH, 2023, vol. 20, issue 13, 1-14

Abstract: The 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/m 2 ) 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.

Keywords: obesity; risk assessment; metabolic syndrome; AIP; HOMA-IR; risk stratification (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2023
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