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Andrés Pérez, Domingo J. Ramos-Campo, Cristian Marín-Pagan, Francisco J. Martínez-Noguera, Linda H. Chung and Pedro E. Alcaraz

neuromuscular variables in recreational ultrarunners. Therefore, the aim of this study was to compare the effect of 2 training programs (similar load and volume) with different intensity distribution (POL vs THR) on fat metabolism, neuromuscular variables, and resting metabolic rate (RMR) in recreational

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Amy L. Woods, Laura A. Garvican-Lewis, Anthony J. Rice and Kevin G. Thompson

The aim of the current study was to determine if a single ParvoMedics TrueOne 2400 metabolic cart provides valid and reliable measurement of RMR in comparison with the criterion Douglas Bag method (DB). Ten endurance-trained participants completed duplicate RMR measurements on 2 consecutive days using the ParvoMedics system in exercise mode, with the same expirate analyzed using DB. Typical error (TE) in mean RMR between the systems was 578.9 kJ or 7.5% (p = .01). In comparison with DB, the ParvoMedics system over-estimated RMR by 946.7 ± 818.6 kJ. The bias between systems resulted from ParvoMedics VE(STPD) values. A regression equation was developed to correct the bias, which reduced the difference to -83.3 ± 631.9 kJ. TE for the corrected ParvoMedics data were 446.8 kJ or 7.2% (p = .70). On Day 1, intraday reliability in mean RMR for DB was 286.8 kJ or 4.3%, (p = .54) and for ParvoMedicsuncorrected, 359.3 kJ or 4.4%, (p = .35), with closer agreement observed on Day 2. Interday reliability for DB was 455.3 kJ or 6.6% (p = .61) and for ParvoMedicsuncorrected, 390.2 kJ or 6.3% (p = .54). Similar intraday and interday TE was observed between ParvoMedicsuncorrected and ParvoMedicscorrected data. The ParvoMedics TrueOne 2400 provided valid and reliable RMR values compared with DB when the VE(STPD) error was corrected. This will enable widespread monitoring of RMR using the ParvoMedics system in a range of field-based settings when DB is not available.

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Victoria L. Bowden and Robert G. McMurray

The purpose of this study was to determine if there is a difference between the way in which aerobically trained and untrained women metabolize fats and carbohydrates at rest in response to either a high-fat or high-carbohydrate meal. Subjects, 6 per group, were fed a high CHO meal (2068 kJ, 76% CHO. 23% fat, 5% protein) and a high fat meal (2093 kJ, 21% CHO, 72% fat, 8% protein) in counterbalanced order. Resting metabolic rate (RMR) was measured every half-hour for 5 hours. RMR was similar between groups. Training status had no overall effect on postprandial metabolic rate or total energy expenditure. The high fat meal resulted in no significant differences in RMR or respiratory exchange ratio (RER) between groups. However, after ingesting a high CHO meal, trained subjects had a peak in metabolism at minute 60, not evident in the untrained subjects. In addition, postprandial RER from minutes 120-300 were lower and fat use was greater after the high CHO meal for the trained subjects. These results suggest that aerobically trained women have an accelerated CHO uptake and overall lower CHO oxidation following the ingestion of a high CHO meal.

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Julia L. Bone and Louise M. Burke

would like to thank all participants who volunteered for the study. References Berke , E.M. , Gardner , A.W. , Goran , M.I. , & Poehlman , E.T. ( 1992 ). Resting metabolic rate and the influence of the pretesting environment . American Journal of Clinical Nutrition, 55 , 626 – 629 . PubMed

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Paula B. Costa, Scott R. Richmond, Charles R. Smith, Brad Currier, Richard A. Stecker, Brad T. Gieske, Kimi Kemp, Kyle E. Witherbee and Chad M. Kerksick

laboratory between 05:00 and 09:00 hours to complete questionnaires, resting metabolic rate (RMR), dual-energy X-ray absorptiometry (DEXA), skinfolds, circumferences, and limb lengths. Subjects Prior to participation, all participants reviewed and signed an informed-consent document approved by the

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Andreas M. Kasper, Ben Crighton, Carl Langan-Evans, Philip Riley, Asheesh Sharma, Graeme L. Close and James P. Morton

), resting metabolic rate, peak oxygen uptake, and blood clinical chemistry to assess endocrine status, lipid profiles, hydration, and kidney function. Athlete Overview A professional male MMA athlete (age: 22 years; body mass: 80.2 kg; and height 1.80 m) volunteered to take part after providing informed

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Jennifer Sygo, Alexandra M. Coates, Erik Sesbreno, Margo L. Mountjoy and Jamie F. Burr

; Lambrinoudaki & Papadimitriou, 2010 ; Rauh et al., 2006 ; Wentz et al., 2012 ), even independent of the effect of estrogen ( De Souza & Williams, 2005 ). As the body adapts to low energy, a reduction in resting metabolic rate (RMR) may occur ( De Souza et al., 2007 ; Koehler et al., 2016 ). Ultimately

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Nura Alwan, Samantha L. Moss, Kirsty J. Elliott-Sale, Ian G. Davies and Kevin Enright

, reflecting a hyperphagic effect to intensive weight loss protocols ( Trexler et al., 2017 ). This practice is commonly known as “weight cycling” (i.e., repeated cycles of weight loss and regain). Previous research has reported unfavorable metabolic parameters including a decline in resting metabolic rate

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Kathryn A. Witt, Jean T. Snook, Thomas M. O'Dorisio, Danial Zivony and William B. Malarkey

To determine relationships among dietary carbohydrate, aerobic exercise training, the thermic effect of food (TEF), and hormonal responses to feeding, 8 trained and 7 sedentary men consumed diets providing 15, 45, or 75% of energy as carbohydrate for 5 days. On Day 6, metabolic rate was measured before as well as 30, 60, 90, and 120 min after an 868-kcal liquid iesi breakfast. Blood was sampled hourly during Day 5 and during each metabolic rate measurement. The trained group had a larger TEF (40 ±2.4 vs. 31 ±3.0 kcal/2 hrs), greater insulin sensitivity, and greater plasma prolactin and corlisol levels, As carbohydrate in the treatment diet increased, carbohydrate utilization and thyroid stimulating hormone were higher and thyroxine was lower, but TEF was not significantly different. After the test meal, trained individuals had a higher TEF but the carbohydrate content of the treatment diet did not influence TEF.

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Eric T. Poehlman and Christopher Melby

In this brief review we examine the effects of resistance training on energy expenditure. The components of daily energy expenditure are described, and methods of measuring daily energy expenditure are discussed. Cross-sectional and exercise intervention studies are examined with respect to their effects on resting metabolic rate, physical activity energy expenditure, postexercise oxygen consumption, and substrate oxidation in younger and older individuals. Evidence is presented to suggest that although resistance training may elevate resting metabolic rate, il does not substantially enhance daily energy expenditure in free-living individuals. Several studies indicate that intense resistance exercise increases postexercise oxygen consumption and shifts substrate oxidation toward a greater reliance on fat oxidation. Preliminary evidence suggests that although resistance training increases muscular strength and endurance, its effects on energy balance and regulation of body weight appear to be primarily mediated by its effects on body composition (e.g., increasing fat-free mass) rather than by the direct energy costs of the resistance exercise.