We previously observed increased energy intake (EI) at the meal before planned afternoon exercise, but the proximity of the meal to exercise might have reduced the scale of the pre-exercise anticipatory eating. Therefore, this study examined EI in the 24 h before fasted morning exercise.
Fourteen males, experienced with gym-based aerobic exercise (age 25 ± 5 years, BMI 23.8 ± 2.5 kg/m2), completed counterbalanced exercise (EX) and resting (REST) trials. On day 1, subjects were told the following morning’s activity (EX/REST), before eating ad-libitum laboratory-based breakfast and lunch meals and a home-based afternoon/evening food pack. The following morning, subjects completed 30-min cycling and 30-min running (EX; 3274 ± 278 kJ) or 60-min supine rest (REST; 311 ± 34 kJ) fasted. Appetite was measured periodically, and EI quantified.
Afternoon/evening EI (EX 7371 ± 2176 kJ; REST 6437 ± 2070 kJ; P = 0.017) and total 24-h EI (EX 14,055 ± 3672 kJ; REST 12,718 ± 3379 kJ; P = 0.011) were greater during EX, with no difference between trials at breakfast (P = 0.761) or lunch (P = 0.071). Relative EI (EI minus energy expended through EX/REST) was lower in EX (EX 10,781 ± 3539 kJ; REST 12,407 ± 3385 kJ; P = 0.004).
This study suggests planned fasted aerobic exercise increases EI during the preceding afternoon/evening, precipitating a ~ 10% increase in EI in the preceding 24-h. However, this increase did not fully compensate for energy expended during exercise; meaning exercise induced an acute negative energy balance.
As the prevalence of overweight and obesity continues to rise globally, effective strategies to facilitate successful weight control are needed . Prevention and management of obesity rely on the components of behaviour that influence energy balance, including physical activity . In basic terms, energy balance is determined as energy intake (in consumed food and drink) minus energy expenditure (through metabolic processes and activity). Therefore, theoretically, individuals can either reduce energy consumed in food and drink or increase activity to disrupt energy balance and induce weight loss or prevent weight gain . However, in practice this interaction is very complex and influenced by a multitude of factors, making successful weight control difficult [4,5,6].
Aerobic exercise influences physiological components of appetite regulation [2, 7, 8]. A substantial amount of research has now been conducted on the acute effects of exercise on appetite and energy intake; generally reporting that acute aerobic exercise does not alter energy intake in the hours afterwards, compared to a resting control condition . Although it is worth noting that research investigating higher exercise intensities (i.e. > 70% VO2max) consistently demonstrates a reduction in perceived hunger, but this does not always translate to similar changes in energy intake [10,11,12,13]. Therefore, in the acute setting, relative energy intake (energy consumed minus energy expended through exercise/rest) is reduced, resulting in a short term energy deficit . In theory, this acute energy deficit should result in weight loss due to the disparity in energy balance. Many exercise intervention studies have tested this theory, in an attempt to induce weight loss (e.g. [15,16,17,18,19]). However, results from these studies have shown that there is considerable interindividual variability and the expected reductions in weight (calculated from exercise energy expenditure) are often not induced. Several mechanisms, such as compensatory increases in hunger/energy intake  and decreases in non-exercise physical activity  have been proposed to explain this response. However, evidence now suggests that non-exercise physical activity and resting metabolic rate are unaffected by exercise training , therefore shifting the focus towards the other side of the energy balance equation (i.e. energy intake).
Roughly 60 years ago, Jean Mayer suggested the concept that exercise induces compensatory increases in energy intake to restore energy balance . This concept, however intuitive, is not consistent with short-term energy intake measurements made at meals consumed post-exercise, where exercise seems not to affect energy intake [9, 24]. Whilst exercise appears to induce changes in hormones secreted from the gastrointestinal tract (e.g. ghrelin, peptide tyrosine tyrosine, etc.), these endocrine alterations with exercise do not appear to influence energy intake, at least acutely . More recently, studies have started to examine eating behaviour in the pre-exercise period [25,26,27]. In contrast to previous work examining energy intake after aerobic exercise, Barutcu, Witcomb and James  reported that when a post-exercise meal is planned in advance of aerobic exercise, energy intake was ~ 24% greater than for planned rest. Similarly, other studies have shown that ad-libitum energy intake is increased when snack items  or meals  are provided before impending aerobic exercise compared to resting conditions.
One consideration with these previous studies is that the proximity of the pre-exercise snack/meal to the exercise session may have tempered the responses observed [25, 27]. Given the short time interval between the pre-exercise meal and the exercise session (1–3 h) in these previous studies [25, 27], it is possible that subjects individual considerations about the effect of food intake on gastrointestinal comfort during exercise may have influenced their desire/motivation to increase energy intake. Although many exercise sessions will take place in the immediate post-prandial period, many will not, including sessions taking place after an overnight fast. Therefore, this study investigated the effect of an anticipated exercise session in the morning after a > 9 h fast (to remove any potential effects of proximity of exercise to meals on eating behaviour) on appetite and energy intake in the preceding 24 h and compared these responses to an identical resting control trial. It was hypothesised that energy intake over the afternoon/evening meal, and perhaps lunch (given the results from our previous work), but not breakfast, would be greater before exercise compared to rest.
Subjects were fourteen healthy, non-smoking, weight stable (self-reported), and habitually active (< 10 h per week) males, (age 25 ± 5 years; BMI 23.8 ± 2.5 kg/m2; body fat % 17.2 ± 4.4; VO2max 47.6 ± 4.0 ml kg min−1). Subjects provided written consent before completing the study. Ethical approval was obtained from the Loughborough University Ethics Approvals (Human Participants) Sub Committee (reference number: R17-P133), but as this was not a clinical trial, it was not pre-registered on a clinical trials database. Subjects were not taking any medications known to affect appetite, and were also not restricted, disinhibited, or hungry eaters (i.e. not in the clinical range), as determined by the Three-Factor Eating Questionnaire . Each subject completed two preliminary trials and two experimental trials in a randomised counterbalanced order. Using the data from a previous study from our laboratory , an alpha of 0.05, a beta of 0.8 and a between trial correlation of 0.8, it was determined that 14 subjects would be required to detect a 15% difference in total 24 h energy intake between trials.
In the 24 h preceding the first experimental trial, subjects recorded their dietary intake and physical activity. These diet and activity patterns were replicated before the second experimental trial and adherence to these requirements was verbally confirmed before trials. Strenuous exercise and alcohol intake were also not permitted during this period.
Subjects completed two preliminary trials. During the first trial, which took place at a time convenient for the subject, height (to nearest 0.1 cm; SECA stadiometer, Germany), and body mass (to nearest 0.01 kg; Adam Equipment, CFM-150 scales, UK) were measured. Subcutaneous body fat was estimated from skinfold measurements at four sites (biceps, triceps, supra-iliac, sub-scapula) using callipers using callipers (Harpenden, UK). The sum of all four sites were used to estimate body density  and percentage of body fat . Subjects also completed questionnaires to assess health status and eating patterns and performed two submaximal tests: one on a cycle ergometer (Lode Corival, Groningen, Holland) and one on a motorised treadmill (h/p/cosmos sports and medical GmbH/Munich, Germany). Sub-maximal tests involved four, 4-min stages of workloads between 80 and 280 W (cycle ergometer) and 6–13 km/h (treadmill), with each stage separated by a short rest period. At the end of each stage, heart rate (Polar M400, Kempele, Finland) and rating of perceived exertion (RPE)  were recorded.
After a short break, subjects then completed a maximal incremental exercise test to exhaustion (VO2peak) on the treadmill, commencing at a gradient of 1% and at a speed estimated to elicit a heart rate of ~ 160 beats/min. The gradient increased by 1% every minute until volitional exhaustion. Expired gas was collected during the final minute of this maximal incremental exercise test and heart rate and RPE were recorded every minute. Intensities for the exercise session during experimental trials were derived from the heart rate-exercise intensity relationship determined in the sub-maximal stages, as well as the peak heart rate reached during the VO2peak test.
During the second preliminary trial, subjects arrived at the laboratory at 0800 h and were asked to complete a visual analogue scale for subjective appetite ratings (detailed below). Subjects then started the exercise session in a fasted state to ensure they were experienced with the specific exercise session and the laboratory environment. The exercise session involved a total of 60 min exercise (30 min cycling and 30 min running), as described in the exercise trial. An ad-libitum buffet breakfast was served 30-min post-exercise, and subjects were free to leave after this period. Visual analogue scales were completed throughout the day. Three hours post-breakfast, subjects arrived back at the laboratory for lunch and were provided with visual analogue scales for the rest of the day, as well as an afternoon/evening food pack. Subjects were not allowed to eat for 2 h post-lunch and after 2300 h in the evening.
Subjects completed two, 2-day experimental trials; exercise (EX) and rest (REST) in a randomised counter-balanced order and separated by at least 4 days.
On day 1, subjects arrived at the laboratory at 0800 h for breakfast. A baseline appetite questionnaire was completed upon arrival (0800 h) and post-void body mass was recorded in light clothing. Subjects were then told if they were on the EX or REST trial (i.e. what they would do the following morning) and given 30 min to consume breakfast (0800–0830 h) from a selection of cold ready-to-eat foods. Upon completion of breakfast, subjects completed another appetite questionnaire (0830 h) and left the laboratory, before returning at 1200 h for lunch. Lunch was served for 30 min and consisted of a buffet selection of ready-to-eat cold foods. Appetite questionnaires were completed before and after lunch. After lunch, subjects were provided with a food pack containing a main evening meal and a selection of snack items from which they were free to consume during the afternoon/evening period. The entire food pack (including all empty wrappers) was returned to the laboratory the following morning. Standard instructions were read to subjects before the breakfast and lunch buffet meals on day 1. These were as follows: “You have 30 min to have your breakfast. Remember that you are on the EX/REST trial tomorrow, so please choose your food items accordingly. You are welcome to eat whatever and however much you want from the selection. If you want more of anything, please let the researchers know and we will put out more food”. For the evening meal “You are not allowed to eat anything for 2 h after lunch, after this time you are free to eat whatever and however much you want from the food pack provided until 2300 h. You are not allowed anything else that is not in the pack apart from water. When you’re ready to have your pasta meal, please use the bowl provided and put any leftovers back in the Tupperware box. Please keep all wrappers and fruit skins and return everything the next day”.
On day 2, subjects returned to the laboratory at 0800 h and completed another appetite questionnaire, before post-void body mass was again measured, and they completed the 60-min exercise/rest. In the EX trial, exercise consisted of 30 min of steady-state cycling at a workload equal to ~ 75% HR-max and 30 min of steady state running at a running speed equal to ~ 80% HR-max. Heart rate was recorded every 5 min and RPE was recorded every 15 min during exercise. Expired gas samples were collected between 14–15 min and 29–30 min during cycling and running. All expired gas samples collected in experimental trials were analysed for oxygen and carbon dioxide concentration (Servomex 1440, Crowborough, UK), volume (Harvard Dry Gas Meter, Harvard Ltd, Edenbridge, UK) and temperature (Edale, Cambridge, UK). Ambient room air was analysed concurrent with expired gas collections to correct VO2 and VCO2 values .
For the REST trial, day 1 was the same as described above. On day 2, instead of completing the exercise session, subjects rested on a portable bed in a supine position for 60 min, with expired gas samples collected at 25–30 min and 55–60 min.
For all meals, foods were provided in excess of expected consumption. Breakfast and lunch were multi-item buffet meals, consisting of cold ready-to-eat foods, which were presented in a research kitchen (Table 1). Subjects chose foods from the buffet and ate in isolation in a separate dining room, returning to the buffet as many times as they desired during each 30-min meal period. For both breakfast and lunch, the amount consumed was quantified by weighing the food before and after consumption, with macronutrient content of foods ascertained from manufacturer values.
The afternoon/evening food pack contained a homogenous cheese and tomato pasta meal (6.60 ± 0.05 kJ g−1, with 14%, 60%, 25% and 1% of the energy provided by protein, carbohydrate, fat and fibre, respectively) prepared in a standard manner the day before the experimental trial and given to the subjects cold. Additional food consisting of a selection of confectionary snacks, cereal bars, crisps, yogurts, etc. (Table 1) were supplied in the pack. Subjects were free to consume what they wanted from the food pack at any time between 1430 and 2300 h. The pack, as well as any empty wrappers, Tupperware, fruit skins/cores and leftovers were returned the following morning. Energy intake was determined by weighing food items before and after they were returned the next day, with macronutrient content of foods ascertained from manufacturer values. Food was not allowed in the 2 h post-lunch and after 2300 h.
Subjective appetite sensations
Subjects rated their feelings of hunger ‘How hungry do you feel?’, fullness ‘How full do you feel?’, desire to eat (DTE) ‘How strong is your desire to eat?’, and prospective food consumption (PFC) ‘How much food do you think you could eat?’ on 100 mm visual analogue scales throughout the day . Verbal anchors of ‘not at all’/’none at all’/’no desire at all’ and ‘extremely’/’a lot’ were placed at 0 and 100 mm, respectively. Appetite was rated at 0800 upon arrival at the lab on both days, as well as before and after each meal and before bed on day 1, and at the mid-point and end of exercise/rest on day 2.
Data were analysed using SPSS 23.0 (SPSS Inc., Somers, NY, USA). All data were checked for normality of distribution using a Shapiro–Wilk test. Data containing one factor were analysed using a t test or Wilcoxon signed-rank test, as appropriate. Data containing two factors were analysed using a two-way repeated measures ANOVA and, where appropriate, followed by Bonferroni-adjusted paired t tests or Bonferroni-adjusted Wilcoxon signed-rank tests, as appropriate. Data sets were determined to be significantly different when P ≤ 0.05. Data are presented as mean ± standard deviation throughout, unless otherwise stated.
Pre-trial (i.e. day 1) body mass (EX 78.7 ± 6.5 kg; REST 78.4 ± 6.7 kg; t = 1.193; df = 13; P = 0.254), hunger (Z = − 0.534; P = 0.594), fullness (Z = − 0.196; P = 0.844), DTE (t = 0.582; df = 13; P = 0.571) and PFC (t = 0.583; df = 13; P = 0.570) did not differ between trials.
Energy and macronutrient intake
On day 1, energy intake at breakfast (Z = − 0.345; P = 0.761) and lunch (t = 1.964; df = 13; P = 0.071) were not different between trials, although the data for lunch approached significance. However, energy intake over the evening was ~ 930 kJ (~ 13%) greater in EX compared to REST (t = 2.723; df = 13; P = 0.017) (Table 2; Fig. 1). Total 24-h energy intake on day 1 was ~ 1340 kJ (~ 10%) greater in EX compared to REST (t = 2.966; df = 13; P = 0.011) (Table 2; Fig. 2).
On day 2, energy expenditure during the 60-min exercise/rest session was ~ 2960 kJ greater during EX (EX 3274 ± 278 kJ; REST 311 ± 34 kJ; t = 38.887; df = 13; P < 0.001) and, therefore, relative energy intake (energy intake on day 1 minus energy expended during exercise/rest) was less in EX (t = − 3.451; df = 13; P = 0.004).
Regarding macronutrient intakes, protein intake was greater in EX at lunch (t = 2.228; df = 13; P = 0.044), whilst intake of all macronutrients was greater in EX the afternoon/evening (P ≤ 0.042). Over the 24-h pre-exercise, intakes of carbohydrate (+ 10%; P = 0.025), protein (+ 9%; P = 0.017) and fat (+ 11%; P = 0.005) were all greater in EX (Table 2).
Steady state exercise measures
All mean steady state values (HR, RPE, VO2, RER) are presented in Table 3. VO2 (t = 34.751; df = 13; P < 0.0001) and RER (t = 3.120; df = 13; P = 0.009) were greater during EX.
Subjective appetite sensations
There were main trial effects for hunger (F(df = 1) = 13.257; P = 0.003), desire to eat (F(1) = 14.060; P = 0.002) and prospective food consumption (F(df = 1) = 7.338; P = 0.018), but not fullness (F(df = 1) = 3.606; P = 0.080). There were no time × trial interaction effects for any of the subjective appetite ratings (hunger: F(df = 4.485) = 2.217; P = 0.071; fullness: F(df = 3.914) = 1.039; P = 0.396; DTE: F(df = 4.416) = 1.942; P = 0.109; PFC: F(df = 4.526) = 1.238; P = 0.304; Fig. 3). There were main effects of time for all subjective appetite ratings (P < 0.001).
This study investigated the effect of an anticipated morning-fasted aerobic exercise session on appetite and energy intake in the 24 h before exercise, compared to an identical resting control trial. It was hypothesised that energy intake over the afternoon/evening, and potentially at lunch, but not at breakfast, would be greater for exercise compared to rest. In line with this hypothesis, energy intake during the afternoon/evening was ~ 13% greater in EX compared to REST, whilst energy intake at breakfast and lunch were not significantly different between trials.
These results are consistent with the findings of two previous studies that have examined eating behaviour at meals served before known exercise sessions [25, 27]. Results from most previous studies investigating the effects of acute exercise on appetite and energy intake suggest that energy intake after exercise is no different to after a similar period of rest [9, 10]. Interestingly, aerobic exercise appears to produce endocrine effects that one might hypothesise would decrease post-exercise energy intake. Exercise decreases concentrations of acylated ghrelin [34, 35] and increases concentrations of peptide tyrosine tyrosine (PYY) . These effects should, in theory, result in reduced appetite and energy intake at the subsequent meal according to ghrelin’s orexigenic  and PYY’s anorexigenic characteristics . Whilst reductions in subjective appetite are commonly reported during or immediately after exercise [39, 40], these reductions are usually corrected shortly after exercise has ceased and before eating, but endocrine alterations can persist . Whilst aerobic exercise does, on the whole, produce weight loss, the typical weight loss observed is far from what would be predicted on the basis of the energy deficit created by acute studies [42,43,44]. In the present study, exercise still reduced relative energy intake, but the increase in pre-exercise energy intake was sufficient to compensate for ~ 45% of the energy deficit created. This is a substantial compensation and might, at least partially, account for the less than expected weight loss observed in previous exercise training studies.
This eating behaviour has also been observed in another recent study that investigated the effects of a future exercise session on pre-exercise energy intake in sedentary overweight males . In this study, subjects (restrained and unrestrained) were provided with a standardised breakfast and lunch followed by an ad-libitum snack (potato chips) 60-min before a known exercise or rest session. Unlike the present study, where all subjects completed a standardised 60-min aerobic exercise session, subjects were instructed to complete an exercise session until they considered they had completed a “sufficient workout”. This study reported that restrained eaters consumed significantly more (~ 677 kJ) before the exercise trial compared to a resting trial: however, this effect was not present with the unrestrained eaters. In contrast to the results from Sim et al. , the present study observed that unrestrained eaters increased their energy intake by ~ 1337 kJ the day before a morning exercise session. This may be explained by the differences in eating opportunities provided, as in the current study subjects had access to ad-libitum breakfast, lunch and evening meals in the 24 h pre-exercise, consisting of a variety of food items, whereas, Sim et al.  provided only one ad-libitum eating opportunity 60 min before exercise, with only one food option (potato chips). Furthermore, given that the subjects of Sim et al.  were sedentary individuals, as opposed to the regular exercisers in the present study, their lack of experience with exercise training may have reduced their tendency to supplement their energy intake in anticipation of exercise.
In this context, there is evidence to suggest that responses for energy intake in the hours after exercise are different between active and inactive individuals . According to the meta-analysis of Schubert et al. , the absolute energy intake values obtained after an exercise session indicated that individuals who engaged in lower levels of physical activity or exercise were more receptive to the appetite suppressing effects of exercise. This is also supported by the work of Jokisch et al.  and Mayer and Thomas . These studies suggest that there may be some conditioning, whereby regular exercisers may learn to increase their energy intake around exercise over time. Given that expected satiety/satiation characteristics of a food are strong predictors of portion size selection, which are also learnt from previous experiences [47,48,49], it could be argued that decisions about food intake in close temporal proximity to exercise may also be influenced by previous experiences of exercise (specifically energy expenditure). Speculatively, this conditioning might play a part in determining a portion size in the hours before (or indeed after) an exercise session. In line with this, McCaig et al.  observed that subjects increased energy intake at the subsequent test meal when they were informed that they had expended ~ 1110 kJ, compared to a group who were informed that they expended ~ 210 kJ. Indeed, the study of McCaig et al.  adds weight to the hypothesis that the anticipation of an exercise session, or energy expenditure per se, may influence decisions about meal planning, and subsequently portion size/food consumption. Taken together, and whilst speculative, results from these studies may clarify some of the less than expected weight loss observed in chronic exercise intervention studies  and future studies should examine this element of eating behaviour in chronic exercise training studies.
Other possible mechanisms that could explain the results from this study could be the Compensatory Health Beliefs Model . The Compensatory Health Beliefs Model suggests that certain unhealthy behaviours (i.e. having extra energy/food) can be compensated for by engaging in positive, healthy behaviours (such as exercise) [52, 53]. This model could partially explain the results of the present study as the subjects may have justified, to themselves, that the upcoming exercise session provided them with the ‘license’ to eat more food in advance of the exercise. Initially, we observed this behaviour in our previous work  where compensation occurred only at the preceding mealtime before exercise, however we were uncertain how far in advance this compensatory behaviour would come into effect given the lack of research in this area. The prospect of completing a 60-min aerobic exercise session after a > 9 h fast may have also encouraged subjects to consume more during the evening meal in the hope that they would have enough energy available to carry out the task. Additionally, recommendations given to athletes suggest increasing energy, especially carbohydrate, intake in the hours before exercise . However, given that such recommendations for athletes infiltrate into lay publications (e.g. magazines and online resources), regular exercisers may develop the view that they too should also increase their energy intake. Energy intake was only increased in EX in the afternoon/evening, which combined with our previous work , suggests that it may only be the meal that immediately precedes exercise where additional energy is ingested. Future work should focus on exploring these effects over multiple sessions, as well as exploring the interaction between pre-and post-exercise energy compensation in situations were individuals are exercising on a regular (perhaps daily) basis, as in this setting one sessions post-exercise nutrition may also be the next session’s pre-exercise nutrition.
It appears, from the results of this and previous studies [25,26,27], that when exercisers make decisions about food intake in advance of an impending exercise session, their energy intake/portion size might be increased. Clearly the weight status or, perhaps more importantly, the weight management goals of the subjects might have played a part in their decision (conscious or unconscious) to increase energy intake in advance of exercise. The subjects in the present study were weight stable, not trying to lose weight, and habitually physically active. Therefore, they would be achieving energy balance on a day-to-day basis, meaning it is logical that they would increase their energy intake where energy expenditure is increased. Thus, it would be of great importance to understand whether this phenomenon of increasing energy intake in anticipation of an exercise session is apparent in overweight/obese populations where weight loss is a goal, and this should be the focus of future work in this area. What accounts for this effect is not known and should be the focus of future studies as it may help to reduce compensatory eating and strengthen the energy deficit created by exercise. Although speculative, it would be interesting to know if it was caused by a ‘licencing effect’, where individuals might have perceived the impending energy expenditure through exercise to licence them to increase their EI.
In conclusion, this study demonstrates that anticipation of fasted, morning aerobic exercise may cause individuals to increase their energy intake the evening before. Whilst this increase in pre-exercise energy intake compensated for 45% of the energy deficit created by exercise, the exercise session still produced an acute negative energy balance. The results from this study better our understanding of the relationship between exercise and energy intake/balance and suggest a potential time period where those engaged with chronic exercise training might increase their energy intake. These results might help to explain, at least partially, why aerobic exercise training studies often do not observe the anticipated weight loss with training. Long-term exercise studies that employ inactive individuals might go some way to explaining the mechanisms and timescales behind this phenomenon.
Abarca-Gómez L, Abdeen ZA, Hamid ZA, Abu-Rmeileh NM, Acosta-Cazares B, Acuin C et al (2017) Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128·9 million children, adolescents, and adults. Lancet 390(10113):2627–2642
Blundell JE, Gibbons C, Caudwell P, Finlayson G, Hopkins M (2015) Appetite control and energy balance: Impact of exercise. Obes Rev 16(S1):67–76
Lean MEJ, Astrup A, Roberts SB (2018) Making progress on the global crisis of obesity and weight management. BMJ 13(361):k2538
Casazza K, Fontaine KR, Astrup A, Birch LL, Brown AW, Bohan Brown MM et al (2013) Myths, presumptions, and facts about obesity. N Engl J Med 368(5):446–454
Fogelholm M, Kukkonen-Harjula K (2000) Does physical activity prevent weight gain: a systematic review. Obes Rev 1(2):95–111
Blundell JE (2017) The contribution of behavioural science to nutrition: appetite control. Nutr Bull 42(3):236–245
King JA, Wasse LK, Ewens J, Crystallis K, Emmanuel J, Batterham RL et al (2011) Differential acylated ghrelin, peptide YY3–36, appetite, and food intake responses to equivalent energy deficits created by exercise and food restriction. J Clin Endocrinol Metab 96(4):1114–1121
Nassis GP, Klentrou P, Palmeira A, Stensel DJ (2012) The influence of physical activity on obesity and health. J Obes 2012:1–2
Schubert MM, Desbrow B, Sabapathy S, Leveritt M (2013) Acute exercise and subsequent energy intake. A meta-analysis. Appetite 63:92–104
Imbeault P, Saint-Pierre S, Alméras N, Tremblay A (1997) Acute effects of exercise on energy intake and feeding behaviour. Br J Nutr 77(4):511–521
Lluch A, King NA, Blundell JE (2000) No energy compensation at the meal following exercise in dietary restrained and unrestrained women. Br J Nutr 84:219–225
Pomerleau M, Imbeault P, Parker T, Doucet E (2004) Effects of exercise intensity on food intake and appetite in women. Am J Clin Nutr 80(5):1230–1236
Broom DR, Batterham RL, King JA, Stensel DJ, Stensel DJ (2009) Influence of resistance and aerobic exercise on hunger, circulating levels of acylated ghrelin, and peptide YY in healthy males. Am J Physiol Integr Comp Physiol 296:29–35
Caudwell P, Gibbons C, Hopkins M, Naslund E, King N, Finlayson G et al (2011) The influence of physical activity on appetite control: an experimental system to understand the relationship between exercise-induced energy expenditure and energy intake. Proc Nutr Soc 70(2):171–180
King NA, Hopkins M, Caudwell P, Stubbs RJ, Blundell JE (2008) Individual variability following 12 weeks of supervised exercise: identification and characterization of compensation for exercise-induced weight loss. Int J Obes 32(1):177–184
Wu T, Gao X, Chen M, van Dam RM (2009) Long-term effectiveness of diet-plus-exercise interventions vs. diet-only interventions for weight loss: a meta-analysis. Obes Rev 10(3):313–323
Thorogood A, Mottillo S, Shimony A, Filion KB, Joseph L, Genest J et al (2011) Isolated aerobic exercise and weight loss: a systematic review and meta-analysis of randomized controlled trials. Am J Med 124(8):747–755
Foster-Schubert KE, Alfano CM, Duggan CR, Xiao L, Campbell KL, Kong A et al (2012) Effect of diet and exercise, alone or combined, on weight and body composition in overweight-to-obese postmenopausal women. Obesity 20(8):1628–1638
Johns DJ, Hartmann-Boyce J, Jebb SA, Aveyard P (2014) Diet or exercise interventions vs combined behavioral weight management programs: a systematic review and meta-analysis of directcom parisons. J Acad Nutr Diet 114(10):1557–1568
Hopkins M, King NA, Blundell JE (2010) Acute and long-term effects of exercise on appetite control: is there any benefit for weight control? Curr Opin Clin Nutr Metab Care 13(6):635–640
Kozey-Keadle S, Staudenmayer J, Libertine A, Mavilia M, Lyden K, Braun B et al (2014) Changes in sedentary time and physical activity in response to an exercise training and/or lifestyle intervention. J Phys Act Health 11(7):1324–1333
Fedewa MV, Hathaway ED, Williams TD, Schmidt MD (2017) Effect of exercise training on non-exercise physical activity: a systematic review and meta-analysis of randomized controlled trials. Sport Med 47(6):1171–1182
Mayer J, Roy P, Kamakiiya A, Mitra P (1956) Relation between caloric intake, body weight, and physical work: studies in an industrial male population in West Bengal. Am J Clin Nutr 4(2):169–175
Dorling J, Broom DR, Burns SF, Clayton DJ, Deighton K, James LJ et al (2018) Acute and chronic effects of exercise on appetite, energy intake, and appetite-related hormones: the modulating effect of adiposity, sex, and habitual physical activity. Nutrients 10(9):1140
Sim AY, Lee LL, Cheon BK (2018) When exercise does not pay: counterproductive effects of impending exercise on energy intake among restrained eaters. Appetite 123:120–127
Barutcu A, Witcomb GL, James LJ (2019) Anticipation of aerobic exercise increases planned energy intake for a post-exercise meal. Appetite 138:198–203
Barutcu A, Taylor S, McLeod CJCJ, Witcomb GLGL, James LJ (2020) Planned aerobic exercise increases energy intake at the preceding meal. Med Sci Sport Exerc 52(4):968–975
Stunkard A, Messick S (1985) The three-factor eating questionnaire to measure dietary restraint, dishinbition and hunger. J Psychosom Res 29(I):71–83
Durnin JV, Womersley J (1973) Body fat assessed from total body density and its estimation from skinfold thickness: measurements on 481 men and women aged from 16 to 72 years. Br J Nutr. 32(1):77–97
Siri WE (1956) The gross composition of the body. Adv Biol Med Phys 1(4):239–280
Borg A (1982) Psychophysical bases of perceived exertion. Med Sci Sport Exerc 14(5):377–381
Betts JA, Thompson D (2012) Thinking outside the bag (not necessarily outside the lab). Med Sci Sports Exerc 44(10):2040
Flint A, Raben A, Blundell JE, Astrup A (2000) Reproducibility, power and validity of visual analogue scales in assessment of appetite sensations in single test meal studies. Int J Obes 24:38–48
Broom DR, Stensel DJ, Bishop NC, Burns SF, Miyashita M (2007) Exercise-induced suppression of acylated ghrelin in humans. J Appl Physiol 102(6):2165–2171
King JA, Deighton K, Broom DR, Wasse LK, Douglas JA, Burns SF et al (2017) Individual variation in hunger, energy intake, and ghrelin responses to acute exercise. Med Sci Sports Exerc 49(6):1219–1228
Deighton K, Karra E, Batterham RL, Stensel DJ (2013) Appetite, energy intake, and PYY 3–36 responses to energy-matched continuous exercise and submaximal high-intensity exercise. Appl Physiol Nutr Metab 38:947–952
Pradhan G, Samson SL, Sun Y (2013) Ghrelin: much more than a hunger hormone. Curr Opin Clin Nutr Metab Care 16(6):619–624
De Silva A, Bloom SR (2012) Gut hormones and appetite control: a focus on PYY and GLP-1 as therapeutic targets in obesity. Gut Liver 6(1):10–20
King JA, Wasse LK, Stensel DJ (2011) The acute effects of swimming on appetite, food intake, and plasma acylated ghrelin. J Obes 2011:1–8
Howe SM, Hand TM, Manore MM (2014) Exercise-trained men and women: role of exercise and diet on appetite and energy intake. Nutrients 6(11):4935–4960
Kawano H, Mineta M, Asaka M, Miyashita M, Numao S, Gando Y et al (2013) Effects of different modes of exercise on appetite and appetite-regulating hormones. Appetite 66:26–33
Myers A, Dalton M, Gibbons C, Finlayson G, Blundell J (2019) Structured, aerobic exercise reduces fat mass and is partially compensated through energy intake but not energy expenditure in women. Physiol Behav 199:56–65
Church TS, Martin CK, Thompson AM, Earnest CP, Mikus CR, Blair SN (2009) Changes in weight, waist circumference and compensatory responses with different doses of exercise among sedentary, overweight postmenopausal women. PLoS ONE 4(2):e4515
Swift DL, Johannsen NM, Lavie CJ, Earnest CP, Church TS (2014) The role of exercise and physical activity in weight loss and maintenance. Prog Cardiovasc Dis 56(4):441–447
Jokisch E, Coletta A, Raynor HA (2012) Acute energy compensation and macronutrient intake following exercise in active and inactive males who are normal weight. Appetite 58(2):722–729
Mayer J, Thomas DW (1967) Regulation of food intake and obesity. Science 156(3773):328–337
Brunstrom JM (2005) Dietary learning in humans: directions for future research. Physiol Behav 85:57–65
Brunstrom JM, Shakeshaft NG (2009) Measuring affective (liking) and non-affective (expected satiety) determinants of portion size and food reward. Appetite 52(1):108–114
Fay S, Ferriday D, Hinton E, Shakeshaft N, Rogers P, Brunstrom J (2011) What determines real-world meal size? Evidence for pre-meal planning. Appetite 56:284–289
McCaig DC, Hawkins LA, Rogers PJ (2016) Licence to eat: information on energy expended during exercise affects subsequent energy intake. Appetite 1(107):323–329
Curioni CC, Lourenço PM (2005) Long-term weight loss after diet and exercise: a systematic review. Int J Obes 29(10):1168–1174
Thongworn S, Sirisuk V (2018) Weight control specific compensatory health beliefs: hypothetical testing and model extension. Kasetsart J Soc Sci 39(2):312–319
Rabiau M, Knäuper B, Miquelon P (2006) The eternal quest for optimal balance between maximizing pleasure and minimizing harm: the compensatory health beliefs model. Br J Health Psychol 11:139–153
Burke LM, Hawley JA, Wong SHS, Jeukendrup AE (2011) Carbohydrates for training and competition. J Sports Sci 29(Suppl. 1):17–27
This research was partially supported by the National Institute for Health Research Leicester Biomedical Research Centre. This report is independent research by the National Institute for Health Research. The views expressed in this publication are those of the authors and not necessarily those of the NHS, the National Institute for Health Research or the Department of Health.
Conflict of interest
LJJ has received funding for research from and/or acted as a consultant for Decathlon SA, the Collagen Research Institute, PepsiCo, Inc., Volac International Ltd, British Summer Fruits, Lucozade Ribena Suntory and Progressive Sports Technologies. LJJ has also received funding to attend conferences from GSSI and Danone Nutricia. In all cases, no personal payments were received by LJJ.
About this article
Cite this article
Barutcu, A., Briasco, E., Moon, J. et al. Planned morning aerobic exercise in a fasted state increases energy intake in the preceding 24 h. Eur J Nutr 60, 3387–3396 (2021). https://doi.org/10.1007/s00394-021-02501-7
- Energy intake
- Eating behavior
- Weight loss