Fernández-Cardero, Á.; Sierra-Cinos, J.L.; López-Jiménez, A.; Beltrán, B.; Cuadrado, C.; García-Conesa, M.T.; Bravo, L.; Sarriá, B. Characterizing Factors Associated with Excess Body Weight: A Descriptive Study Using Principal Component Analysis in a Population with Overweight and Obesity. Nutrients2024, 16, 1143.
Fernández-Cardero, Á.; Sierra-Cinos, J.L.; López-Jiménez, A.; Beltrán, B.; Cuadrado, C.; García-Conesa, M.T.; Bravo, L.; Sarriá, B. Characterizing Factors Associated with Excess Body Weight: A Descriptive Study Using Principal Component Analysis in a Population with Overweight and Obesity. Nutrients 2024, 16, 1143.
Fernández-Cardero, Á.; Sierra-Cinos, J.L.; López-Jiménez, A.; Beltrán, B.; Cuadrado, C.; García-Conesa, M.T.; Bravo, L.; Sarriá, B. Characterizing Factors Associated with Excess Body Weight: A Descriptive Study Using Principal Component Analysis in a Population with Overweight and Obesity. Nutrients2024, 16, 1143.
Fernández-Cardero, Á.; Sierra-Cinos, J.L.; López-Jiménez, A.; Beltrán, B.; Cuadrado, C.; García-Conesa, M.T.; Bravo, L.; Sarriá, B. Characterizing Factors Associated with Excess Body Weight: A Descriptive Study Using Principal Component Analysis in a Population with Overweight and Obesity. Nutrients 2024, 16, 1143.
Abstract
Obesity is a worldwide epidemic; hence it is crucial to understand how it can be effectively prevented/treated. Thus, obesity should be tackled considering that it is a multifactorial condition. This work examines a wide range of factors and attempts to understand which contribute most to variability in overweight/obesity. Eighty-four subjects with overweight/obesity were recruited. Dietary baseline information was obtained by analyzing three 24-hour recalls. Resting metabolic rate was measured using indirect calorimetry, physical activity through accelerometry, cardiometabolic parameters were determined in blood samples and body composition by anthropometry and bioimpedance. Factor analysis of principal components (PCA) was carried out (SPSS v22.0). Large interindividual variability was observed in dietetic, biochemical, and physical activity measurements (coefficient of variation ≥30%), but body composition was homogeneous. Volunteers had an unbalanced diet and low physical activity. PCA reduced the 26 analyzed variables into 7 factors, accounting for 81,5% of total data variability. The main factor was the ‘‘caloric and lipid factor’’ related to diet, responsible for 25.9% of total variability, followed by ‘‘adiposity factor’’ (16,9%) and ‘‘cardiometabolic risk factor’’ (13,2%). Diet seems to be the factor that contributes the most to data variability in people with overweight/obesity, especially the intake of lipids, energy and proteins.
Keywords
Overweight; Obesity; interindividual variability; Polyphenols; Cardiometabolic Risk Factors; Factor Analysis; Dietary Intake; Body Composition; Physical Activity; Energy Expenditure
Subject
Medicine and Pharmacology, Dietetics and Nutrition
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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