Physical exercise and epicardial adipose tissue: A systematic review and meta-analysis of randomized controlled trials

Obes Rev. 2021 Jan;22(1):e13103. doi: 10.1111/obr.13103. Epub 2020 Jul 21.

Abstract

We performed a meta-analysis of the effects of exercise on epicardial adipose tissue (EAT). A systematic search was conducted in PubMed and Scopus (since inception to 1 February 2020) of randomized controlled trials assessing the effects of exercise interventions alone (with no concomitant weight loss intervention) on EAT. The standardized mean difference (Hedges' g) and 95% confidence interval between interventions were computed using a random effects model. Ten studies (including 521 participants who had, on average, overweight/obesity) met all inclusion criteria. Interventions were supervised and lasted 2 to 16 weeks (≥3 sessions·per week). Exercise significantly reduced EAT (g = 0.82 [0.57-1.07]) irrespective of the duration of the intervention or the EAT imaging assessment method. Exercise benefits were separately confirmed for endurance (six studies, n = 287; g = 0.83 [0.52-1.15]) but not for resistance exercise training (due to insufficient data for quantitative synthesis). It was not possible to compare the effect of high-intensity interval training (HIIT) versus moderate-intensity continuous training (two studies, one reporting higher benefits with HIIT and the other no differences). Physical exercise interventions-particularly endurance training, with further evidence needed for other exercise modalities-appear as an effective strategy for reducing EAT in individuals with overweight/obesity, which supports their implementation for cardiovascular risk reduction.

Keywords: cardiovascular risk; epicardial fat; obesity; physical activity.

Publication types

  • Meta-Analysis
  • Research Support, Non-U.S. Gov't
  • Review
  • Systematic Review

MeSH terms

  • Adipose Tissue*
  • Exercise*
  • Humans
  • Obesity
  • Overweight
  • Pericardium*
  • Randomized Controlled Trials as Topic
  • Resistance Training*