Characterizing Factors Associated with Excess Body Weight: A Descriptive Study Using Principal Component Analysis in a Population with Overweight and Obesity

Nutrients. 2024 Apr 12;16(8):1143. doi: 10.3390/nu16081143.

Abstract

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%).

Keywords: body composition; cardiometabolic risk; dietary intake; energy expenditure; factor analysis; inter-individual variability; obesity; overweight; physical activity; polyphenols.

MeSH terms

  • Adiposity
  • Adult
  • Basal Metabolism
  • Body Composition
  • Cross-Sectional Studies
  • Diet
  • Energy Intake
  • Exercise*
  • Female
  • Humans
  • Male
  • Middle Aged
  • Obesity* / blood
  • Obesity* / epidemiology
  • Overweight* / blood
  • Overweight* / epidemiology
  • Principal Component Analysis*