Effect of Concurrent Training on Body Composition and Gut Microbiota in Postmenopausal Women with Overweight or Obesity

MEDICINE & SCIENCE IN SPORTS & EXERCISE(2022)

引用 16|浏览17
暂无评分
摘要
Purpose Menopause tends to be associated with an increased risk of obesity and abdominal fat mass (FM) and is associated with lower intestinal species diversity. The aim of this study was to determine the effects of a high-intensity interval training and resistance training (HIIT + RT) program on body composition and intestinal microbiota composition in overweight or obese postmenopausal women. Methods Participants (n = 17) were randomized in two groups: HIIT + RT group (3x per week, 12 wk) and control group without any training. Dual-energy x-ray absorptiometry was used to measure whole-body and abdominal/visceral FM and fat-free mass. Intestinal microbiota composition was determined by 16S rRNA gene sequencing at baseline and at the study end, and the diet was controlled. Results Compared with sedentary controls, physical fitness (maximal oxygen consumption, peak power output) increased, total abdominal and visceral FM decreased, and segmental muscle mass increased in the training group. Although the HIIT + RT protocol did not modify alpha-diversity and taxonomy, it significantly influenced microbiota composition. Moreover, various intestinal microbiota members were correlated with HIIT + RT-induced body composition changes, and baseline microbiota composition predicted the response to the HIIT + RT program. Conclusions HIIT + RT is an effective modality to reduce abdominal/visceral FM and improve physical capacity in nondieting overweight or obese postmenopausal women. Training modified intestinal microbiota composition, and the response to training seems to depend on the initial microbiota profile. More studies are needed to determine whether microbiota composition could predict the individual training response.
更多
查看译文
关键词
MENOPAUSE, CONCURRENT TRAINING, FAT MASS, ABDOMINAL, VISCERAL FAT MASS, GUT MICROBIOTA COMPOSITION
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要