THE EFFECTS OF EXERCISE TRAINING ON RESTING METABOLIC RATE IN PREVIOUSLY SEDENTARY, MODERATELY OBESE WOMEN

1999 ◽  
Vol 31 (Supplement) ◽  
pp. S310
Author(s):  
H. K. Byrne ◽  
J. H. Wilmore
Keyword(s):  
Exercise Training ◽  
Metabolic Rate ◽  
Resting Metabolic Rate ◽  
Obese Women

The Effects of a 20-Week Exercise Training Program on Resting Metabolic Rate in Previously Sedentary, Moderately Obese Women

2001 ◽  
Vol 11 (1) ◽  
pp. 15-31 ◽  
Author(s):  
Heidi K. Byrne ◽  
Jack H. Wilmore
Keyword(s):  
Resistance Training ◽  
Exercise Training ◽  
Metabolic Rate ◽  
Training Program ◽  
Body Fat ◽  
Aerobic Capacity ◽  
Resting Metabolic Rate ◽  
Fat Free Mass ◽  
Obese Women ◽  
Resistance Training Program

The present study was designed to investigate the effects of exercise training on resting metabolic rate (RMR) in moderately obese women. It was hypothesized that exercise training would increase resting metabolic rate. Nineteen previously sedentary, moderately obese women (age = 38.0 ± 0.9 years, percent body fat = 37.5 ± 0.8) trained for 20 weeks using either resistance training (RT) or a combination of resistance training arid walking (RT/W). The high intensity resistance training program was designed to increase strength and fat-free mass and the walking program to increase aerobic capacity. There was also a non-exercising control group (C) of 9 subjects in this study. Fat-free mass was significantly increased in both the RT (+1.90 kg) and RT/W (+1.90 kg) groups as a result of the training program. No group showed significant changes in fat mass or relative body fat from pre- to post-training. Aerobic capacity was slightly, though significantly, increased in the RT/W group only. The RT group showed a significant increase (+44 kcal · day−1), while the RT/W group showed a significant decrease (-53 kcal · day−1) in resting metabolic rate post-training. RT can potentiate an increase in RMR through an increase in fat-free mass, and the decrease in RMR in the RT/W group may have been a result of heat acclimation from the walk training.

Nutrient pattern of unsaturated fatty acids and vitamin E increase resting metabolic rate of overweight and obese women

2020 ◽  
pp. 1-9
Author(s):  
Habib Yarizadeh ◽  
Leila Setayesh ◽  
Caroline Roberts ◽  
Mir Saeed Yekaninejad ◽  
Khadijeh Mirzaei
Keyword(s):  
Vitamin E ◽  
Metabolic Rate ◽  
Unsaturated Fatty Acids ◽  
Resting Metabolic Rate ◽  
Blood Parameters ◽  
Cross Sectional Study ◽  
Obese Women ◽  
Cross Sectional ◽  
Dietary Nutrients ◽  
Nutrient Patterns

Abstract. Objectives: Obesity plays an important role in the development of chronic diseases including cardiovascular disease and diabetes. A low resting metabolic rate (RMR) for a given body size and composition is a risk factor for obesity, however, there is limited evidence available regarding the association of nutrient patterns and RMR. The aim of this study was to determine the association of nutrient patterns and RMR in overweight and obese women. Study design: This cross-sectional study was conducted on 360 women who were overweight or obese. Method: Dietary intake was assessed using a semi-quantitative standard food frequency questionnaire (FFQ). Nutrient patterns were also extracted by principal components analysis (PCA). All participants were evaluated for their body composition, RMR, and blood parameters. Result: Three nutrient patterns explaining 64% of the variance in dietary nutrients consumption were identified as B-complex-mineral, antioxidant, and unsaturated fatty acid and vitamin E (USFA-vit E) respectively. Participants were categorized into two groups based on the nutrient patterns. High scores of USFA-vit E pattern was significantly associated with the increase of RMR (β = 0.13, 95% CI = 0.79 to 68.16, p = 0.04). No significant associations were found among B-complex-mineral pattern (β = −0.00, 95% CI = −49.67 to 46.03, p = 0.94) and antioxidant pattern (β = 0.03, 95% CI −41.42 to 22.59, p = 0.56) with RMR. Conclusion: Our results suggested that the “USFA-vit E” pattern (such as PUFA, oleic, linoleic, vit.E, α-tocopherol and EPA) was associated with increased RMR.

Resting Metabolic Rate after Endurance Exercise Training

2009 ◽  
Vol 41 (7) ◽  
pp. 1444-1451 ◽  
Author(s):  
MAN-GYOON LEE ◽  
DARLENE A. SEDLOCK ◽  
MICHAEL G. FLYNN ◽  
GARY H. KAMIMORI
Keyword(s):  
Exercise Training ◽  
Metabolic Rate ◽  
Endurance Exercise ◽  
Resting Metabolic Rate ◽  
Endurance Exercise Training

scholarly journals Adherence to a Low Carbohydrate Diet may Modify Resting Metabolic Rate among Overweight and Obese Women

2020 ◽  
Author(s):  
Seyedeh Forough Sajjadi ◽  
Atieh Mirzababaei ◽  
nasim Ghodoosi ◽  
Sara Pooyan ◽  
Hana Arghavani ◽  
...  
Keyword(s):  
Metabolic Rate ◽  
Resting Metabolic Rate ◽  
Fat Free Mass ◽  
Obese Women ◽  
Carbohydrate Diet ◽  
Cross Sectional ◽  
Low Carbohydrate Diet ◽  
Low Carbohydrate ◽  
Carb Diet ◽  
Adjusted Model

Abstract Objective Resting metabolic rate (RMR) accounts for most of the daily energy expenditure. The low-carb diet attenuates decreases in RMR. This study aims to investigate the relationship between a low-carb diet and resting metabolic rate status. Methods We enrolled 304 overweight and obese women in this cross-sectional study. BMI, fat mass, fat-free mass, visceral fat, insulin level were assessed. RMR was measured using indirect calorimetry. A low carbohydrate diet score was measured using a validated semi-quantitative food frequency questionnaire (FFQ). Results Our results showed no relationship between LCDS and DNR even after adjust for confounders (Inc. RMR: OR: 0.97; 95% CI: 0.92–1.01, P = 0.20; Dec. RMR: OR: 0.97; 95% CI: 0.94-1.00, P = 0.14). Some components of LCDS had significant differences with DNR, such as carbohydrate and Dec. RMR in adjusted model (OR: 1.62; 95% CI: 0.98–1.37, P = 0.08), MUFA and Dec. RMR in adjusted model (OR: 0.48; 95% CI: 0.21–1.10, P = 0.08) and refined grain and Inc. RMR in crude model (OR: 0.87; 95% CI: 0.77–0.99, P = 0.04). Conclusion Our study showed that there is no association between a low-carb diet and RMR status but carbohydrate, MUFA, and refined grain had a significant relationship.

Effect of suspending exercise training on resting metabolic rate in women

1992 ◽  
Vol 24 (1) ◽  
pp. 59???65 ◽  
Author(s):  
J. L. HERRING ◽  
P. A. MOLE ◽  
C. N. MEREDITH ◽  
J. S. STERN
Keyword(s):  
Exercise Training ◽  
Metabolic Rate ◽  
Resting Metabolic Rate

Effects of exercise training on resting metabolic rate in postmenopausal African American and Caucasian women

Metabolism ◽  
2006 ◽  
Vol 55 (10) ◽  
pp. 1358-1364 ◽  
Author(s):  
Helena Santa-Clara ◽  
Linda Szymanski ◽  
Tiffany Ordille ◽  
Bo Fernhall
Keyword(s):  
African American ◽  
Exercise Training ◽  
Metabolic Rate ◽  
Resting Metabolic Rate ◽  
Caucasian Women

Predicted and Measured Resting Metabolic Rate: In Young, Non-obese Women

2013 ◽  
Vol 74 (3) ◽  
pp. 124-130 ◽  
Author(s):  
Elaine Yao ◽  
Andrea C. Buchholz ◽  
A. Michelle Edwards ◽  
Janis A. Randall Simpson
Keyword(s):  
Metabolic Rate ◽  
Resting Metabolic Rate ◽  
Obese Women

scholarly journals The Association of Gut Microbiota with Resting Metabolic Rate in Overweight/Obese Women: A Case-Control Study

2021 ◽  
Author(s):  
Sanaz Mehranfar ◽  
Seyed Davar Siadat ◽  
Sara Ahmadi Badi ◽  
Sara Hajishizari ◽  
Mir Saeed Yekaninejad ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Metabolic Rate ◽  
Resting Metabolic Rate ◽  
Positive Association ◽  
Gut Microflora ◽  
Obese Women ◽  
Significant Positive Association ◽  
Genetic And Environmental Factors ◽  
Future Work ◽  
The Impact

Abstract Purpose Low Resting Metabolic Rate (RMR), as a risk factor for obesity, can be affected by many factors. Indeed, genetic and environmental factors are variables taken into account when predicting RMR, and may contribute to a high inter-individual variance. Besides the well-known causes of obesity, researchers have demonstrated the contribution of gut microflora in obesity and energy expenditure. Therefore, the goal of the current study was to compare the Firmicutes/Bacteroidetes ratio and the relative abundance of, Prevotellaceae, Faecalibacterium prausnitzii, bifidobactrium spp, lactobacillus spp, Akkermansia muciniphila, Bacteroides fragilis, and Escherichia coli in two groups of people with normal and low RMR in overweigh/obese women in Iran. Results The abundance of F. prausnitzii (p>0.001), B. fragilis (P= 0.02), and Firmicutes phylum (P= 0.02) were significantly higher in the controls compared to the cases, and showed significant positive association with RMR, (β = 1.29 ×10−5, P=0.01), (β = 4.13 ×10−6, p= 0.04), and (β = 7.76 ×10−1, p= 0.01), respectively. Regarding Lactobacilus, the results showed a significant positive association with RMR (β = 1.73 ×10−4, p= 0.01). Conclusion Intestinal microbiota may be associated with host metabolism. Therefore, future work should investigate, using clinical trials, the impact of manipulating gut microflora to positively influence energy expenditure.

Sign in / Sign up

Export Citation Format

Share Document