Characterizing Factors Associated with Excess Body Weight: A Descriptive Study Using Principal Component Analysis in a Population with Overweight and Obesity.
Álvaro Fernández-CarderoJosé Luis Sierra-CinosAdrián López-JiménezBeatriz Beltrán-de-MiguelCarmen CuadradoMaría-Teresa García ConesaLaura Bravo-ClementeBeatriz SarriáPublished in: Nutrients (2024)
Obesity is a worldwide epidemic, making it crucial to understand how it can be effectively prevented/treated. Considering that obesity is a multifactorial condition, this article carried out a baseline cross-sectional study of the variables involved in the disorder. Eighty-four subjects with overweight/obesity were recruited. Dietary baseline information was obtained by analysing three 24 h recalls. Resting metabolic rate was measured using indirect calorimetry, physical activity was measured through accelerometry, cardiometabolic parameters were determined in blood samples and body composition via anthropometry and bioimpedance. A univariant and multivariate exploratory approach was carried out using principal component analysis (PCA). Large inter-individual variability was observed in dietetic, biochemical, and physical activity measurements (coefficient of variation ≥ 30%), but body composition was more uniform. Volunteers had an unbalanced diet and low levels of physical activity. PCA reduced the 26 analysed variables to 4 factors, accounting for 65.4% of the total data variance. The main factor was the "dietetic factor", responsible for 24.0% of the total variance and mainly related to energy intake, lipids, and saturated fatty acids. The second was the "cardiometabolic factor" (explaining 16.8% of the variability), the third was the "adiposity factor" (15.2%), and the last was the "serum cholesterol factor" (9.4%).
Keyphrases
- body composition
- physical activity
- weight loss
- weight gain
- insulin resistance
- resistance training
- bone mineral density
- body weight
- metabolic syndrome
- body mass index
- type diabetes
- fatty acid
- high fat diet induced
- adipose tissue
- healthcare
- magnetic resonance
- computed tomography
- heart rate
- heart rate variability
- big data
- skeletal muscle
- machine learning
- contrast enhanced