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Christopher L. Melby, Kristen L. Osterberg, Alyssa Resch, Brenda Davy, Susan Johnson, and Kevin Davy

Thirteen physically active, eumenorrheic, normal-weight (BMI ≤ 25 kg/m2) females, aged 18–30 years, completed 4 experimental conditions, with the order based on a Latin Square Design: (a) CHO/Ex: moderate-intensity exer-· cise (65% V̇O2peak) with a net energy cost of ~500 kcals, during which time the subject consumed a carbohydrate beverage (45 g CHO) at specific time intervals; (b) CHO/NoEx: a period of time identical to (a) but with subjects consuming the carbohydrate while sitting quietly rather than exercising; (c) NoCHO/ Ex: same exercise protocol as condition (a) during which time subjects consumed a non-caloric placebo beverage; and (d) NoCHO/NoEx: same as the no-exercise condition (b) but with subjects consuming a non-caloric placebo beverage. Energy expenditure, and fat and carbohydrate oxidation rates for the entire exercise/sitting period plus a 90-min recovery period were determined by continuous indirect calorimetry. Following recovery, subjects ate ad libitum amounts of food from a buffet and were asked to record dietary intake during the remainder of the day. Total fat oxidation (exercise plus recovery) was attenuated by carbohydrate compared to placebo ingestion by only ~4.5 g. There was a trend (p = .08) for a carbohydrate effect on buffet energy intake such that the CHO/Ex and CHO/NoEx energy intakes were lower than the NoCHO/Ex and NoCHO/NoEx energy intakes, respectively (mean for CHO conditions: 683 kcal; NoCHO conditions: 777 kcal). Average total energy intake (buffet plus remainder of the day) was significantly lower (p < .05) following the conditions when carbohydrate was consumed (CHO/Ex = 1470 kcal; CHO/NoEx = 1285 kcal) compared to the noncaloric placebo (NoCHO/Ex =1767 kcal; NoCHO/ NoEx = 1660 kcal). In conclusion, in young women engaging in regular exercise, ingestion of 45 g of carbohydrate during exercise only modestly suppresses total fat oxidation during exercise. Furthermore, the ingestion of carbohydrate with or without exercise resulted in a lower energy intake for the remainder of the day

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Julie Masurier, Marie-Eve Mathieu, Stephanie Nicole Fearnbach, Charlotte Cardenoux, Valérie Julian, Céline Lambert, Bruno Pereira, Martine Duclos, Yves Boirie, and David Thivel

-to-vigorous physical activity declining with age, coupled with a concomitant increase in sedentary time ( Husu et al., 2016 ). Not only will this decline in physical activity result in lower energy expenditure (EE), recent evidences suggest that it will also favor increased energy intake (EI), contributing to the

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Kapria-Jad Josaphat, Élise Labonté-Lemoyne, Sylvain Sénécal, Pierre-Majorique Léger, and Marie-Eve Mathieu

seated >8 hours per day had 62% higher odds of obesity compared with those who were seated <4 hours per day independent of leisure time physical activity. 6 Exposure to sedentary behaviors has also been associated with increased energy intake, 7 which can lead to positive energy balance. It is well

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Kapria-Jad Josaphat, Vicky Drapeau, David Thivel, and Marie-Eve Mathieu

-suppressing factors and decreases in appetite-inducing hormones following a single bout of medium- to high-intensity exercise ( Gomez-Merino et al., 2004 ; Schubert et al., 2014 ; Ueda et al., 2009 ). The timing of energy intake has been shown to be of importance regarding the control of body weight ( Arble et

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Tommy Slater, William J.A. Mode, Mollie G. Pinkney, John Hough, Ruth M. James, Craig Sale, Lewis J. James, and David J. Clayton

Weight gain occurs when energy intake exceeds energy expenditure for a sustained period ( Hill et al., 2012 ). Counter-regulatory changes to energy balance systems appear more profound for weight loss than weight gain ( Hill et al., 2012 ), meaning early intervention in lean individuals to prevent

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David Thivel, Pauline Genin, Alicia Fillon, Marwa Khammassi, Johanna Roche, Kristine Beaulieu, Graham Finlayson, Jean-Philippe Chaput, Martine Duclos, Angelo Tremblay, Bruno Pereira, and Lore Metz

reading task favored increased energy intake (EI; +200 kcal) compared with a control (CON) session of quiet sitting, despite an increase of EE of 3 kcal only. The same group recently obtained similar results in response to both reading and computer tasks in healthy adults. 4 Interestingly, this

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Katherine E. Black, Paula M.L. Skidmore, and Rachel C. Brown

Endurance events >10 hr are becoming increasingly popular but provide numerous physiological challenges, several of which can be attenuated with optimal nutritional intakes. Previous studies in ultraendurance races have reported large energy deficits during events. The authors therefore aimed to assess nutritional intakes in relation to performance among ultraendurance cyclists. This observational study included 18 cyclists in a 384-km cycle race. At race registration each cyclist’s support crew was provided with a food diary for their cyclist. On completion of the race, cyclists were asked to recall their race food and drink intakes. All food and fluids were analyzed using a computer software package. Mean (SD) time to complete the race was 16 hr 21 min (2 hr 2 min). Mean (SD) energy intake was 18.7 (8.6) MJ, compared with an estimated energy requirement for the race of 25.5 (7.4) MJ. There was a significant negative relationship between energy intake and time taken to complete the race (p = .023, r 2 = −.283). Mean (SD) carbohydrate, fat, and protein intakes were 52 (27), 15.84 (56.43), and 2.94 (7.25) g/hr, respectively. Only carbohydrate (p = .015, r 2 = −.563) and fat intake (p = .037, r 2 = −.494) were associated with time taken to complete the race. This study demonstrates the difficulties in meeting the high energy demands of ultraendurance cycling. The relationship between energy intake and performance suggests that reducing the energy deficit may be advantageous. Given the high carbohydrate intakes of these athletes, increasing energy intake from fat should be investigated as a means of decreasing energy deficits.

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Shaea A. Alkahtani, Nuala M. Byrne, Andrew P. Hills, and Neil A. King

Purpose:

Compensatory responses may attenuate the effectiveness of exercise training in weight management. The aim of this study was to compare the effect of moderate- and high-intensity interval training on eating behavior compensation.

Methods:

Using a crossover design, 10 overweight and obese men participated in 4-week moderate (MIIT) and high (HIIT) intensity interval training. MIIT consisted of 5-min cycling stages at ±20% of mechanical work at 45%VO2peak, and HIIT consisted of alternate 30-s work at 90%VO2peak and 30-s rests, for 30 to 45 min. Assessments included a constant-load exercise test at 45%VO2peak for 45 min followed by 60-min recovery. Appetite sensations were measured during the exercise test using a Visual Analog Scale. Food preferences (liking and wanting) were assessed using a computer-based paradigm, and this paradigm uses 20 photographic food stimuli varying along two dimensions, fat (high or low) and taste (sweet or nonsweet). An ad libitum test meal was provided after the constant-load exercise test.

Results:

Exerciseinduced hunger and desire to eat decreased after HIIT, and the difference between MIIT and HIIT in desire to eat approached significance (p = .07). Exercise-induced liking for high-fat nonsweet food tended to increase after MIIT and decreased after HIIT (p = .09). Fat intake decreased by 16% after HIIT, and increased by 38% after MIIT, with the difference between MIIT and HIIT approaching significance (p = .07).

Conclusions:

This study provides evidence that energy intake compensation differs between MIIT and HIIT.

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Gregory A. Hand, Robin P. Shook, Daniel P. O’Connor, Madison M. Kindred, Sarah Schumacher, Clemens Drenowatz, Amanda E. Paluch, Stephanie Burgess, John E. Blundell, and Steven N. Blair

Exercise-induced weight loss is commonly less than that predicted using weight loss models. 1 These models are usually based on the relationship of energy intake and energy expenditure (energy balance) over time. However, there are a number of common assumptions that are made when applying an

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Katriona J.M O’Donoghue, Paul A. Fournier, and Kym J. Guelfi

Although the manipulation of exercise and dietary intake to achieve successful weight loss has been extensively studied, it is unclear how the time of day that exercise is performed may affect subsequent energy intake. The purpose of the current study was to investigate the effect of an acute bout of exercise performed in the morning compared with an equivalent bout of exercise performed in the afternoon on short-term energy intake. Nine healthy male participants completed 3 trials: morning exercise (AM), afternoon exercise (PM), or control (no exercise; CON) in a randomized counterbalanced design. Exercise consisted of 45 min of treadmill running at 75% VO2peak. Energy intake was assessed over a 26-hr period with the participants eating ad libitum from a standard assortment of food items of known quantity and composition. There was no significant difference in overall energy intake (M ± SD; CON 23,505 ± 6,938 kJ, AM 24,957 ± 5,607 kJ, PM 24,560 ± 5,988 kJ; p = .590) or macronutrient preferences during the 26-hr period examined between trials. Likewise, no differences in energy intake or macronutrient preferences were observed at any of the specific individual meal periods examined (i.e., breakfast, lunch, dinner) between trials. These results suggest that the time of day that exercise is performed does not significantly affect short-term energy intake in healthy men.