Eating frequency predicts changes in regional body fat distribution in healthy adults

QJM. 2017 Nov 1;110(11):729-734. doi: 10.1093/qjmed/hcx120.

Abstract

Background: Eating frequency (EF) has been associated with generalized obesity.

Aim: We aimed to prospectively investigate potential associations of frequency of eating episodes with regional fat layers.

Design: EF was evaluated at baseline in 115 subjects free of clinically overt cardiovascular disease (54 ± 9.1 years, 70 women) in a prospective, observational study.

Methods: Metabolic parameters known to be associated with dietary factors and anthropometric markers including ultrasound assessment of subcutaneous (Smin) and pre-peritoneal (Pmax) fat and their ratio Smin/Pmax (AFI) were evaluated at baseline and at follow-up, 5 years later.

Results: EF at baseline positively correlated with Pmax, even after adjustment for potential confounders. EF above median was also an independent predictor for Pmax (beta coefficient = -0.192, P = 0.037) and AFI (beta coefficient = 0.199, P = 0.049) at follow up. Multivariable linear mixed models analysis demonstrated that subjects with increased EF presented a lower progression rate of Pmax (beta = -0.452, P = 0.006) and a higher progression rate of AFI (beta = 0.563, P = 0.003) over time, independently of age, sex, progression of BMI, energy intake, smoking and changes in parameters of glucose metabolism.

Conclusions: High EF is associated with lower progression rate of pre-peritoneal fat accumulation. Future interventional studies should further investigate the clinical utility of these findings.

Publication types

  • Observational Study

MeSH terms

  • Adult
  • Body Fat Distribution*
  • Body Mass Index*
  • Energy Intake
  • Feeding Behavior*
  • Female
  • Glycated Hemoglobin / analysis
  • Greece
  • Humans
  • Linear Models
  • Lipids / blood
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Obesity / epidemiology*
  • Prospective Studies
  • Risk Factors

Substances

  • Glycated Hemoglobin A
  • Lipids