scholarly journals The associations of resting metabolic rate with chronic conditions and weight loss

2017 ◽  
Vol 7 (2) ◽  
pp. 70-76 ◽  
Author(s):  
R. A. G. Christensen ◽  
L. Raiber ◽  
S. Wharton ◽  
M. A. Rotondi ◽  
J. L. Kuk
2019 ◽  
Vol 3 (10) ◽  
pp. 1347-1355
Author(s):  
Vikrant P. Rachakonda ◽  
James P. DeLany ◽  
Erin E. Kershaw ◽  
Jaideep Behari

1993 ◽  
Vol 3 (3) ◽  
pp. 245-260 ◽  
Author(s):  
Craig A. Horswill

Amateur wrestlers practice weight loss for ergogenic reasons. The effects of rapid weight loss on aerobic performance are adverse and profound, but the effects on anaerobic performance are equivocal Anaerobic performance—strength and power—may be the most relevant type of performance to the wrestler. Maintenance of or even small decrements in anaerobic performance may translate into improvements in performance relative to the weight class, the factor by which wrestlers are matched for competition. During the recovery period between the official weigh-in and competition, wrestlers achieve at least partial nutritional recovery, which appears to benefit performance. Successive bouts of (a) weight loss to make weight and (b) recovery for performance lead to weight cycling. There is speculation that weight cycling may contribute to chronic glycogen depletion, reductions in fat-free weight, a decrease in resting metabolic rate, and an increase in body fat. The latter two would augment the difficulty of losing weight for subsequent weigh-ins. Most research indicates that the suppressed resting metabolic rate with weight loss in wrestlers appears to be transient, but subsequent research is needed for confirmation.


2005 ◽  
Vol 37 (Supplement) ◽  
pp. S137
Author(s):  
Nobuko Hongu ◽  
Cindy A. Dorminy ◽  
Jennifer L. Redmon ◽  
Maciej S. Buchowski

1990 ◽  
Vol 52 (6) ◽  
pp. 981-986 ◽  
Author(s):  
S Heshka ◽  
M U Yang ◽  
J Wang ◽  
P Burt ◽  
F X Pi-Sunyer

1987 ◽  
Vol 73 (1) ◽  
pp. 41-45 ◽  
Author(s):  
P. Leslie ◽  
R. T. Jung ◽  
T. E. Isles ◽  
J. Baty

1. In the management of the non-insulin dependent diabetic patient, metformin often facilitates weight loss whereas sulphonylurea may predispose to weight gain. To investigate whether this is due to alterations in energy expenditure we have studied energy expenditure in seven non-insulin dependent diabetic subjects while on metformin or sulphonylurea therapy. 2. Three components of energy expenditure were measured by indirect calorimetry, namely resting metabolic rate and the thermic responses to infused noradrenaline and to a mixed constituent meal. 3. There was no significant difference in the resting metabolic rate on metformin (5.29 ± 0.41 kJ/min; mean ± se) compared with sulphonylurea (5.34 ± 0.34 kJ/min). The resting metabolic rate was also similar to predicted values for non-diabetic subjects (r = 0.96). 4. The thermic response to infused noradrenaline was similar on metformin (23.14 ± 1.87 kJ) and sulphonylurea (21.40 ± 2.98 kJ). 5. There was no significant difference in the thermic response to the meal on sulphonylurea (75.8 ± 7.5 kJ) or on metformin (86.8 ± 10.8 kJ; 95% confidence limits − 17 to + 39 kJ). 6. We conclude that in non-insulin dependent diabetic subjects metformin does not enhance energy expenditure overall, compared with sulphonylurea.


2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 526-526
Author(s):  
Rachel Silver ◽  
Sai Das ◽  
Michael Lowe ◽  
Susan Roberts

Abstract Objectives There is persistent controversy over the extent to which different components of energy expenditure disproportionately decrease after weight loss and contribute to weight regain through decreased energy requirements. We conducted a secondary analysis of the CALERIE I study to test the hypothesis that decreased resting metabolic rate (RMR) and energy expenditure for physical activity (EEPA) after a 6-month calorie restriction intervention would predict weight regain at 12 months, with a greater decrease in RMR than EEPA. Methods Participants (n = 46) received all food and energy-containing beverages for 6 months. Outcome measures included total energy expenditure by doubly labeled water, RMR by indirect calorimetry, and body composition by BOD POD. Predictions for RMR and EEPA were derived from baseline linear regression models including age, sex, fat mass, and fat free mass. Baseline regression coefficients were used to calculate the predicted RMR and EEPA at 6 months. Residuals were calculated as the difference between measured and predicted values and were adjusted for body weight. The presence of metabolic adaptation was evaluated by a paired t-test comparing measured and predicted RMR at 6 months. Differences between 6-month RMR and EEPA residuals were evaluated by the same method. Linear regression was used to assess the association between 6-month residuals and weight loss maintenance (% weight change, 6 to 12 months). Results Mean weight loss was 6.9% at 6 months with 2.1% regain from 6 to 12 months. No adaptation in RMR was observed at 6 months (mean residual: 19 kcal; 95% confidence interval: −9, 48; P = 0.18). However, significant adaptation was observed in EEPA (mean residual: −199 kcal; −126, −272; P < 0.0001). In addition, the mean 6-month RMR residual was significantly greater than the mean 6-month EEPA residual (218 kcal; 133, 304; P < 0.0001). There was no significant association between 6-month RMR or EEPA residuals and weight regain at 12 months (P = 0.56, 0.34). Conclusions There was no measurable decrease in RMR with weight loss after adjusting for changes in fat free mass and fat mass, but there was a decrease in EEPA. Changes in RMR and EEPA with weight loss over 6 months did not predict weight regain at 12 months. Funding Sources Jean Mayer USDA Human Nutrition Research Center on Aging Doctoral Scholarship; USDA agreement #8050–51000-105–01S


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