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Effects of exercise before or after meal ingestion on fat balance and postprandial metabolism in overweight men

Published online by Cambridge University Press:  26 October 2012

Nor M. F. Farah and
Jason M. R. Gill
Nor M. F. Farah
Affiliation:
BHF Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, GlasgowG12 8TA, UKSchool of Rehabilitation Science, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, 53200Kuala Lumpur, Malaysia
Jason M. R. Gill*
Affiliation:
BHF Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, GlasgowG12 8TA, UK
*
*Corresponding author: Dr J. M. R. Gill, fax +44 141 3302522, email jason.gill@glasgow.ac.uk
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Abstract

It is unclear how timing of exercise relative to meal ingestion influences substrate balance and metabolic responses. The present study aimed to compare the effects of exercise performed before or after breakfast on fat balance and postprandial metabolism. A total of ten sedentary overweight men (aged 28·1 (sem 10·7) years, BMI 29·0 (sem 2·8) kg/m2) underwent three trials in random order involving: (1) performing no exercise (CON), or walking for 60 min at 50 % maximal O2 uptake either (2) before (Ex-Meal) or (3) after (Meal-Ex) consuming a standardised breakfast meal. In each trial an ad libitum lunch was provided 3·5 h after breakfast. Substrate utilisation was assessed by indirect calorimetry and blood was taken at regular intervals over an 8·5 h observation period. At the end of the observation period, fat balances in the Ex-Meal ( − 1043 (sem 270) kJ) and Meal-Ex ( − 697 (sem 201) kJ) trials were both significantly lower than CON (204 (sem 165) kJ) and fat balance in the Ex-Meal trial was significantly lower than in the Meal-Ex trial (all P <0·0001). Compared with the CON trial, the 8·5 h postprandial TAG response was only significantly lowered in the Ex-Meal trial ( − 17 %, P =0·025) and not in the Meal-Ex trial ( − 11 %, P =0·20). Both the Ex-Meal and Meal-Ex trials showed significantly lowered insulin responses relative to the CON trial (by 19 and 24 %, respectively, P <0·01 for both). There were no differences in lunch energy intake between trials. The present findings suggest that there may be an advantage for body fat regulation and lipid metabolism in exercising before compared with after breakfast. However, further study is needed to determine whether the present findings extend over the long term under free-living conditions.

Keywords

ExercisePostprandial metabolismFat balanceAppetiteEnergy balanceAd libitum energy intake

Information

Type
Full Papers
Information
British Journal of Nutrition , Volume 109 , Issue 12 , 28 June 2013, pp. 2297 - 2307
Copyright
Copyright © The Authors 2012 

Loss of body fat requires the imposition of a negative fat balance, which is achieved when fat oxidation exceeds fat intake(Reference Schutz1). Exercise provides a potent means of increasing fat oxidation, both during the exercise itself and in the hours afterwards(Reference Hansen, Shriver and Schoeller2), and thus can potentially contribute to the formation of a negative fat balance. However, as exercise can also influence food intake(Reference Jokisch, Coletta and Raynor3) and the metabolism of ingested food(Reference Burton, Malkova and Caslake4, Reference Farah, Malkova and Gill5), it is necessary to also consider the interactions between exercise and food intake to fully evaluate the overall effects of exercise on fat balance. It is well-known that consuming a meal prior to exercise reduces fat, and increases carbohydrate oxidation during the exercise period(Reference Wu, Nicholas and Williams6, Reference Horowitz, Mora-Rodriguez and Byerley7), whereas a post-exercise meal can attenuate the shift from carbohydrate to fat oxidation that normally follows exercise(Reference Dionne, Van and Tremblay8). Thus, the timing of exercise relative to meal ingestion influences the pattern, and potentially the extent, of the exercise-induced increase in fat oxidation. Studies comparing the effects of exercise before or after a single meal have reported greater total fat oxidation over observation periods of 2–8 h when exercise was undertaken in the fasted state(Reference Schneiter, Di Vetta and Jéquier9, Reference Bennard and Doucet10). However, as the effects of exercise on the intake and metabolism of food in subsequent meals were not evaluated in these controlled laboratory studies, the findings with respect to fat balance may not be representative of free-living situations, when ad libitum meals are ingested throughout the day. It is unclear how exercise timing around meal ingestion could affect appetitive behaviour and ad libitum food intake, and how metabolic responses to these subsequent meals can influence variations in substrate oxidation and overall fat balance throughout the post-exercise period.

An additional consideration in the temporal association of exercise and meal ingestion is its effects on postprandial TAG and insulin responses. A large body of evidence has shown that exercise is effective in ameliorating the unfavourable exaggerations in postprandial lipaemia and insulinaemia(Reference Malkova and Gill11), which may have implications for the prevention of atherogenesis(Reference Cohn12, Reference Frayn13). In most of these studies, exercise performed 4–18 h prior to a high-fat meal effectively reduced postprandial TAG and insulin responses(Reference Farah, Malkova and Gill5, Reference Burton, Malkova and Caslake14–Reference Miyashita, Burns and Stensel17). Exercise performed immediately prior to meal ingestion has also been shown to reduce postprandial TAG concentrations(Reference Katsanos and Moffatt18, Reference Zhang, Thomas and Ball19); however, in studies that evaluated the effects of post-meal exercise on postprandial lipaemia, findings have been mixed, with some studies reporting a decrease in postprandial TAG(Reference Katsanos and Moffatt18, Reference Hardman and Aldred20–Reference Klein, Miller and Radam22) and others reporting no change(Reference Zhang, Thomas and Ball19, Reference Welle23). However, the findings of these reports are limited by the absence of subsequent meals in the post-exercise period, which can make an impact on the magnitude and duration of the exercise-induced metabolic responses; it is clear that post-exercise energy and carbohydrate intakes substantially modify the effects of exercise on insulin sensitivity and lipoprotein metabolism(Reference Burton, Malkova and Caslake14, Reference Harrison, O'Gorman and McCaffrey24, Reference Newsom, Schenk and Thomas25). Furthermore, the amount of food consumed in meals later in the day and, therefore, the metabolic responses of these meals, may be influenced by exercise timing relative to breakfast. Thus, it is not known how exercise timing relative to breakfast ingestion with subsequent ad libitum food ingestion has an impact on day-long postprandial lipid and insulin metabolism.

The purpose of the present study was therefore to investigate the effects of a single session of moderate-intensity exercise, undertaken either before or after a standardised breakfast meal, on postprandial substrate, lipid and insulin/glucose metabolism, as well as on appetite responses and subsequent energy intake in overweight men. We hypothesised that exercise performed before breakfast would result in a lower overall fat balance and a lower postprandial TAG response than a similar exercise session performed after breakfast.

Experimental methods

Participants

A total of fifteen overweight (BMI >25 kg/m2) men, with low levels of habitual physical activity (less than 1 h per week of moderate-to-vigorous physical activity, assessed by the International Physical Activity Questionnaire), were recruited through advertisements. Of these, two participants dropped out after initial screening and a further three participants dropped out after completion of preliminary tests and before undertaking any of the main experimental trials. Thus, ten participants completed all three experimental trials and were included in the data analysis. The age, body mass, BMI, waist circumference, predicted maximum O2 uptake ($$\dot {>V}O_{2} $$max) and total cholesterol concentrations of these ten participants were as follows: 28·1 (sd 10·7) years, 92·2 (sd 11·7) kg, 29·0 (sd 2·8) kg/m2, 93·2 (sd 8·6) cm, 39·1 (sd 5·4) ml/kg per min and 4·23 (sd 1·04) mmol/l, respectively. Participants were non-smokers, with no known history of CVD or diabetes, and were not consuming any type of specialised diet (e.g. vegetarian, high protein or weight reducing) or taking any medications thought to interfere with energy substrate metabolism and appetite. The present study was conducted according to the guidelines laid down in the Declaration of Helsinki and all procedures involving human subjects were approved by the Faculty of Biomedical and Life Sciences Ethics Committee at the University of Glasgow, UK. Each participant gave written informed consent prior to participation.

Dietary restraint

Dietary restraint was measured by the restraint scale on the Three Factor Eating Questionnaire(Reference Stunkard and Messick26) and Dutch Eating Behaviour Questionnaire(Reference Van Strien, Frijters and Bergers27). The dietary restraint scores were 6·1 (sem 3·0) and 2·4 (sem 0·4), respectively. None of the participants was classified as a restrained eater.

Study design

Following preliminary tests (described later), each participant completed three 8·5 h experimental trials in randomised order, with an interval of 1–2 weeks between trials: exercise before a breakfast meal (Ex-Meal), exercise after a breakfast meal (Meal-Ex) and control (CON). Randomisation was undertaken in blocks of six (to reflect the six possible orders of testing) by drawing a folded piece of paper, numbered from one to six, from an envelope, with each number corresponding to a different testing order. The experimental protocol is shown in Fig. 1. For 2 d prior to their first trial, participants weighed and recorded all their food and drink intake and were instructed to replicate this diet for the 2 d preceding their subsequent experimental trials. Diets were analysed using a computerised version of a food composition table (CompEat Pro; Nutrition Systems). They were also asked to refrain from alcohol and planned exercise, and maintain their usual day-to-day activities during this recording period.

Fig. 1

Study design. Participants completed three trials: control (CON), exercise before breakfast meal (Ex-Meal) and exercise after breakfast meal (Meal-Ex). B, test breakfast; L, buffet lunch; walking man denotes 1 h exercise session; ●, expired air measurements; ↓, blood samples and appetite questionnaires.

Preliminary tests

Before undertaking the main experimental trials, participants undertook a four-stage incremental sub-maximal treadmill walk test to estimate $$\dot {>V}O_{2} $$max and calculate the speed and gradient required to elicit the intensity of 50 % $$\dot {>V}O_{2} $$max for the exercise intervention. Before the main trials, each participant was also asked about food they disliked and whether they had any food allergies. This information was used to ensure that foods provided in the ad libitum buffet were suitable and acceptable for their consumption.

Main trials

Exercise before breakfast meal

Participants arrived at the metabolic suite at 08.00 hours following a 12 h overnight fast. Following 10 min supine rest on a couch, a 25 min fasting expired sample was collected using a ventilated hood system (Oxycon Pro, Jaeger GmbH) to estimate RMR and substrate utilisation using indirect calorimetry(Reference Frayn, Macdonald, Draznin and Rizza28). A cannula was then introduced into an antecubital vein for repeated blood sampling. Participants were asked to rate their fasting appetite sensations using 100 mm visual analogue scales(Reference Flint, Raben and Blundell29) (see later for details) and a fasting blood sample was taken immediately before the commencement of the exercise session. The exercise session began at 09.00 hours ( − 90 min in Fig. 1): all participants completed a 60 min treadmill walk at 50 % of $$\dot {>V}O_{2} $$max. Expired air samples were collected at 15 min intervals during the walk and for 15 min in the recovery period using Douglas bags for the determination of O2 uptake and CO2 production. Fat and carbohydrate oxidation during exercise was estimated using indirect calorimetry(Reference Frayn, Macdonald, Draznin and Rizza28). Heart rate and ratings of perceived exertion were recorded at every 15 min during the walk. Blood samples were collected at 30 min during the walk and immediately after the walk ended. Participants also recorded their appetite sensation ratings at the end of the walk. At 10.30 hours (0 min in Fig. 1), i.e. 30 min after completion of the exercise session, participants were provided with a test breakfast, as described later. On completion of the meal, participants underwent a 7 h postprandial observation period, during which blood samples and visual analogue scales ratings were collected at 30, 60, 90, 120, 180, 210, 240, 270, 330, 390 and 420 min. Subsequent expired air measurements were made using the ventilated hood system for 15 min at 60, 120, 180, 270, 330 and 390 min. Ad libitum lunch, as described later, was served at 210 (14.00 hours) min.

Exercise after breakfast meal trial

This trial was identical to the Ex-Meal trial, except that participants rested for 1 h from 09.00 to 10.00 hours, and performed the 1 h exercise session at 11.00 hours (30 min in Fig. 1), i.e. 30 min after the test breakfast was provided.

Control trial

This trial was identical to both exercise trials, except that participants undertook no exercise and remained rested during the periods (i.e. 09.00–10.00 and 11.00–12.00 hours), which corresponded to the exercise session in the Ex-Meal and Meal-Ex trials, respectively.

Test breakfast

Participants were provided with a standardised breakfast, which provided 20·9 kJ (5 kcal) of energy per kg body mass. This size of meal was chosen to reflect a typical breakfast energy intake. The meal comprised a plain bagel (0·44 g/kg, New York Bakery Company), polyunsaturated fat margarine (0·05 g/kg, Flora original; Unilever) and a meal-replacement drink (0·56 g/kg, Strawberry-flavoured Complan, Complan Foods Limited) made with whole milk (1·79 ml/kg), and provided 49 % of energy from carbohydrate, 37 % from fat and 14 % from protein to match the typical British daily macronutrient intake(30). Participants were asked to consume the meal within 10 min.

Ad libitum energy intake

An ad libitum buffet lunch, containing spaghetti Bolognese (700 g provided from frozen ‘ready-meals’, Wm Morrison Supermarkets), salad (80 g salad leaves mix, Wm Morrison Supermarkets), vinaigrette dressing (100 g, Wm Morrison Supermarkets), microwaved fries (200 g, Micro Chips, McCain Foods (GB) Limited), potato crisps (150 g, Red Thai Chilli Crisps, Wm Morrison Supermarkets), fruit (150 g Clementine oranges, 120 g banana), yogurt (300 g Strawberry ‘fat-free’ yogurt, Onken Limited) and chocolate (60 g Choc Flakes, Marks and Spencers) (approximately 10 500 kJ of energy available), was provided 3·5 h after breakfast. Food was presented in excess of expected consumption and participants were told to eat until they felt comfortably full. Participants were given 20 min to consume the ad libitum meal. They were not informed that consumption was being measured (but were informed of this on the completion of the study), and they consumed the meal without experimenters being present, to minimise potential alterations to usual feeding behaviour(Reference Herman and Polivy31). All foods were covertly weighed before they were made available to the subjects and reweighed again after meal ingestion to quantify food intake. Energy, protein, fat and carbohydrate intakes were calculated using manufacturers' values and food composition tables when manufacturers' labels were not available. Participants were not provided with water during the meal, but ad libitum access to water was made available throughout the day before and after the completion of the meal. From the energy intake at lunch, relative energy intake (i.e. post-exercise energy intake corrected for the net energy cost of exercise) was calculated.

Subjective appetite ratings

Subjective assessment of appetite was made using visual analogue scales adapted from Flint et al. (Reference Flint, Raben and Blundell29). Each scale consisted of a 100 mm horizontal line anchored at either end with statements ‘not at all’ and ‘extremely’. The questionnaire that was used consisted of five visual analogue scales to rate ‘hunger’, ‘fullness’, ‘satisfaction’, ‘desire to eat’ and ‘prospective food consumption’.

Blood analysis

Venous blood samples were collected into pre-cooled potassium EDTA tubes and placed on ice before centrifugation to separate plasma within 15 min of collection. Plasma was stored at − 80°C until analysis. TAG and glucose concentrations were determined by an enzymatic colorimetric method using a commercially available kit (Horiba ABX). Insulin concentration was determined using a commercially available ELISA (Mercodia). All samples for each subject were analysed in duplicate and in a single analyser run. CV for the TAG, glucose and insulin assays were < 2, < 3 and < 5 %, respectively.

Validity and reliability of the Oxycon Pro ventilated hood system

Prior to commencement of the present study, the validity of the Oxycon Pro ventilated hood device system was assessed by comparing values for resting O2 uptake (VO2) and CO2 production (VCO2) obtained using the Oxycon Pro with values obtained using Douglas bag expired air collections in eleven volunteers in the fasted state. Each volunteer underwent consecutive collections of expired air using the Oxycon Pro ventilated hood and into Douglas bags via a mouthpiece in random order. VO2 and VCO2 values were 0·21 (sd 0·05) and 0·17 (sd 0·06) litres/min for the Douglas bag measurements and 0·20 (sd 0·06) and 0·16 (0·05) litres/min for the Oxycon Pro measurements, respectively. The mean percentage difference between the Douglas bag and Oxycon Pro measurements was − 4·4 (sd 8·3) % for VO2 and − 7·5 (sd 8·5) % for VCO2, and the Pearson correlation coefficients between the measurement techniques were 0·964 (P <0·0005) for VO2 and 0·972 (P <0·0005) for VCO2.

The reliability of the Oxycon Pro system was determined by comparing resting VO2 and VCO2 measurements made in the fasted state in ten volunteers on two occasions with an interval of 1–2 weeks (these were different volunteers from those recruited to determine the system's validity). Volunteers refrained from exercise and replicated their dietary intakes for the 2 d prior to each measurement. Mean VO2 and VCO2 values were 0·27 (sd 0·02) and 0·22 (sd 0·02) litres/min for the first measurement and 0·27 (sd 0·03) and 0·22 (sd 0·03) litres/min for the second measurement, respectively. The mean difference between measurements was 0·6 (sd 6·1) % for VO2 and 0·7 (sd 4·6) % for VCO2, and the Pearson correlation coefficients between measurements were 0·913 (P <0·0005) for VO2 and 0·943 (P <0·0005) for VCO2.

Power calculation

We primarily based the present sample size calculation on the number of participants needed to detect a difference in overall fat balance between the Ex-Meal and Meal-Ex trials. Our previous data had shown that the within-participant standard deviation for differences in fat balance between conditions of low and high energy turnover at the end of a similar postprandial observation period was 0·31 MJ(Reference Burton, Malkova and Caslake4). We assumed that the within-participant standard deviation for differences between trials in the present investigation would be similar. Based on this, we calculated that ten participants would be sufficient to detect a 0·31 MJ difference in fat balance between trials, with 80 % power. In addition, based on our previous observations that the within-participant standard deviations for postprandial TAG and insulin responses were 10·1 and 22·9 %, respectively(Reference Gill, Malkova and Hardman32), the chosen sample size of ten participants would also enable detection of differences between trials of approximately 10 % in the TAG response and approximately 23 % in the insulin response with the same power.

Statistical analysis

Statistical analyses were performed using Statistica (version 6.0, StatSoft, Inc.) and SPSS (version 13.0, SPSS, Inc.). Data were tested for normality prior to analysis and no data required transformation. Time-averaged AUC (i.e. AUC divided by time to provide a mean value for the observation interval) for the ‘before breakfast’ (i.e. − 90 to 0 min), ‘breakfast to lunch’ (0–210 min), ‘after lunch’ (210–240 min) and the total 8·5 h observation period ( − 90 to 420 min) were calculated as summary measures of the postprandial responses. Cumulative energy and energy substrate balances were calculated by summing the AUC between individual time points throughout each experimental trial. One-way repeated-measures ANOVA were used to compare fasting values, 8·5 h AUC, energy intakes and energy expenditures across the three trials. Two-way repeated-measures ANOVA (trial × time) were used to compare changes over time and across the three trials. Post hoc Tukey tests were used to identify where differences lay. Data are presented as mean values and their standard errors, unless otherwise stated. Statistical significance was accepted at P <0·05. All P values are reported for two-sided tests.

Results

Responses during the treadmill walk

The treadmill speed and gradient for both exercise sessions (Ex-Meal and Meal-Ex) were identical within each participant. Participants walked for 60 min at an average speed of 5·5 (sem 0·1) km/h on a gradient of 4·3 (sem 0·8) %. All exercise sessions were completed without difficulty and participants rated the exercise as ‘light’ on the Borg scale of 6–20 in both the Ex-Meal (10·4 (sem 0·6)) and Meal-Ex (10·5 (sem 0·6)) trials. Mean O2 uptakes and heart rates over the course of the exercise sessions were 20·1 (sem 0·8) ml/kg per min and 127 (sem 4) beats/min, respectively, in the Ex-Meal trial, and 19·5 (sem 0·8) ml/kg per min and 129 (sem 4) beats/min, respectively, in the Meal-Ex trial. Values did not differ significantly between trials.

Metabolic responses in the fasted state

RMR (CON: 5·31 (sem 0·14) kJ/min; Ex-Meal: 5·25 (sem 0·19) kJ/min and Meal-Ex: 5·35 (sem 21) kJ/min), rate of fat oxidation (CON: 0·084 (sem 0·005) g/min; Ex-Meal: 0·075 (sem 0·010) g/min and Meal-Ex: 0·090 (sem 0·009) g/min) and rate of carbohydrate oxidation (CON: 0·132 (sem 0·014) g/min; Ex-Meal: 0·150 (sem 0·019) g/min and Meal-Ex: 0·120 (sem 0·019) g/min) measured in the fasted state at 08.00 hours in all trials did not differ significantly between trials. Similarly, there were no significant differences between trials in fasting plasma TAG (CON: 1·01 (sem 0·09) mmol/l; Ex-Meal: 0·97 (sem 0·08) mmol/l and Meal-Ex: 0·99 (sem 0·10) mmol/l), insulin (CON: 7·05 (sem 0·82) mU/l; Ex-Meal: 6·16 (sem 0·95) mU/l and Meal-Ex: 6·97 (sem 1·07) mU/l) (1 mU/l = 6·945 pmol/l) or glucose (CON: 5·17 (sem 0·11) mmol/l; Ex-Meal: 5·11 (sem 0·16) mmol/l and Meal-Ex: 5·32 (sem 0·14) mmol/l) concentrations.

Metabolic responses during exercise

Summary data for energy expenditure and substrate utilisation during exercise are presented in Table 1. The total net exercise energy expenditure did not differ significantly between exercise trials (P =0·657). The net amount of fat oxidised during exercise was 33 % greater in the Ex-Meal compared with the Meal-Ex trial (P =0·005). Reciprocally, the net amount of carbohydrate oxidised was 18 % lower in the Ex-Meal trial compared with the Meal-Ex trial (P =0·003).

Table 1

Energy expenditure and substrate utilisation during exercise (net values) for the total 8·5 h observation period (including exercise expenditure) and for the total 8·5 h observation period (excluding net exercise expenditure) (Mean values with their standard errors, n 10)

CON, control; Ex-Meal, exercise before breakfast; Meal-Ex, exercise after breakfast.

** Mean value was significantly different from CON (P <0·01)

†† Mean value was significantly different from Meal-Ex (P <0·01)

Postprandial energy and substrate utilisation

Postprandial energy expenditure and substrate utilisation are presented in Table 1. Total energy expenditure over the 8·5 h observation period was greater in both the Ex-Meal and Meal-Ex trials, compared with the CON trial (P <0·001 for both). Total fat oxidation over this period was 53 and 43 % greater in the Ex-Meal and Meal-Ex trials, respectively, compared with the CON trial (P <0·001 for both). Similarly, total carbohydrate oxidation was 55 % greater in the Ex-Meal trial and 65 % greater in the Meal-Ex trial than the CON trial (P <0·001 for both). None of these values differed between the Ex-Meal and Meal-Ex trials. However, when the net energy expenditure and substrate utilisation during exercise were subtracted from the total values, there were no significant differences observed in energy expenditure and substrate utilisation over the observation period between trials. Thus, differences in energy and substrate utilisation between trials over the 8·5 h observation period could be entirely accounted for by energy and substrate utilisation during the exercise session itself.

Ad libitum energy intake and relative energy intake

There were no significant differences in energy intake in the ad libitum lunch between trials (CON: 5212 (sem 393) kJ; Ex-Meal: 5041 (sem 376) kJ and Meal-Ex: 5179 (sem 443) kJ). Similarly, intake of carbohydrate (CON: 2780 (sem 222) kJ; Ex-Meal: 2696 (sem 196) kJ and Meal-Ex: 2725 (sem 226) kJ), fat (CON: 1396 (sem 38) kJ; Ex-Meal: 1300 (sem 146) kJ and Meal-Ex: 1413 (sem 201) kJ) and protein (CON: 1032 (sem 75) kJ; Ex-Meal: 1041 (sem 67) kJ and Meal-Ex: 1037 (sem 63) kJ) did not differ significantly between trials. However, relative energy intake (i.e. lunch energy intake minus net exercise energy expenditure) was significantly lower in the Ex-Meal (3231 (sem 389) kJ) and Meal-Ex (3386 (sem 426) kJ) trials, compared with the CON trial (5212 (sem 393) kJ, P <0·001 for both).

Subjective appetite responses

Summary measures of appetite responses for the ‘before breakfast’, ‘breakfast to lunch’ and ‘after lunch’ observation periods are shown in Table 2. There was a main effect of time period (P <0·001) for each appetite perception assessed (hunger, desire to eat, prospective food consumption, fullness and satisfaction). In other words, appetite sensations varied throughout the day. For hunger, a significant trial × time-period interaction (P =0·035) was observed, but post hoc Tukey tests did not reveal any differences between trials for individual time periods. No other differences between trials were observed for any of the other appetite variables.

Table 2

Time-averaged AUC for subjective ratings of appetite for the before breakfast, breakfast-to-lunch and after lunch observation periods (Mean values with their standard errors, n 10)

CON, control; Ex-Meal, exercise before breakfast; Meal-Ex, exercise after breakfast.

Cumulative energy and substrate balances

Cumulative energy, fat and carbohydrate balances, measured throughout the 8·5 h observation period for each trial, are shown in Fig. 2. Energy balance was significantly lower in the Ex-Meal trial than in the CON trial throughout the observation period from the − 60 min time point onwards, and was significantly lower in the Meal-Ex trial than in the CON trial from the 60 min time point onwards. At the end of the observation period, energy balances in the Ex-Meal (1630 (sem 378) kJ, relative to the start of the trial) and the Meal-Ex (1768 (sem 358) kJ) trials did not differ from each other, but were both significantly lower than energy balance in the CON trial (3743 (sem 323) kJ; P <0·0001 for both). The same trend was observed for postprandial carbohydrate balance. At the end of the observation period, carbohydrate balances were significantly lower in the Ex-Meal (1341 (sem 199) kJ) and Meal-Ex (1253 (sem 190) kJ) trials compared with the CON trial (2301 (sem 176) kJ, P <0·0001 for both), with no differences observed between the exercise trials. However, a different trend was evident for fat balance, with fat balance being significantly lower in the Ex-Meal than in both the Meal-Ex and CON trials throughout the observation period from the − 60 min time point onwards. Fat balance was significantly lower in the Meal-EX than in the CON trial from the 60 min time point onwards. At the end of the observation period, fat balances in the Ex-Meal ( − 1043 (sem 270) kJ) and Meal-Ex ( − 697 (sem 201) kJ) trials were both significantly lower than in the CON trial (204 (sem 165) kJ), and fat balance in the Ex-Meal trial was significantly lower than in the Meal-Ex (all P <0·0001) trial.

Fig. 2

(a) Cumulative energy, (b) carbohydrate and (c) fat balances over the 8·5 h observation period. Values are means, with their standard errors represented by vertical bars. □, Test breakfast; ■, buffet lunch; , exercise in the Ex-Meal (exercise before breakfast meal, ) trial; , exercise in the Meal-Ex (exercise after breakfast meal, ) trial. * Mean value was significantly different from CON () (P< 0·001). † Mean value was significantly different from Meal-Ex (P< 0·001).

Postprandial metabolic responses

Fig. 3 illustrates the postprandial responses for TAG, insulin and glucose over the 8·5 h observation period, and summary responses are shown in Table 3. The TAG responses in the ‘before breakfast’ and ‘breakfast to lunch’ observation periods did not differ significantly between trials, but TAG responses in the ‘after lunch’ period were 19 and 17 % lower than the CON trial in the Ex-Meal and the Meal-Ex trials, respectively (P <0·01 for both). However, over the total 8·5 h observation period, only the Ex-Meal trial ( − 17 %, P =0·025) and not the Meal-Ex trial ( − 11 %, P =0·20) lowered the TAG response compared with the CON trial. In contrast to the TAG responses, both the Ex-Meal ( − 26 %, P =0·05) and Meal-Ex ( − 40 %, P =0·001) trials significantly lowered insulin responses compared with the CON trial in the ‘breakfast to lunch’, but not in the ‘after lunch’, period. Over the total 8·5 h observation period, both the Ex-Meal and Meal-Ex trials significantly lowered insulin responses relative to the CON trial (by 19 and 24 %, respectively; P <0·01 for both). There were no significant differences in glucose responses between trials.

Fig. 3

(a) TAG, (b) insulin and (c) glucose responses over the 8·5 h observation period. Values are means, with their standard errors represented by the vertical bars. □, Test breakfast; ■, buffet lunch; , exercise in the Ex-Meal (exercise before breakfast meal, ) trial; , exercise in the Meal-Ex (exercise after breakfast meal, ) trial. , Control. For insulin, 1 mU/l = 6·945 pmol/l.

Table 3

Time-averaged AUC for TAG, insulin and glucose for the before breakfast, breakfast-to-lunch, after lunch and total observation periods (Mean values with their standard errors, n 10)

CON, control; Ex-Meal, exercise before breakfast; Meal-Ex, exercise after breakfast.

Mean values were significantly different from the CON trial: * P< 0·05; ** P< 0·01.

† 1 mU/l = 6·945 pmol/l.

Discussion

The aim of the present study was to determine the effects of exercise undertaken before or after a meal on postprandial substrate, lipid and insulin/glucose metabolism, appetite responses and ad libitum feeding over the course of several hours. The main findings were that exercise undertaken both before and after a standardised breakfast meal led to lower energy, fat and carbohydrate balances at the end of an 8·5 h observation period, which included an ad libitum lunch, compared with a no exercise CON trial. Both exercise trials also significantly reduced the postprandial insulin response over the total 8·5 h observation period and the postprandial TAG response in the ‘breakfast to lunch’ period. However, fat balance was approximately 350 kJ lower (P <0·0001) at the end of the observation period when exercise was performed before, compared with after, breakfast, and only exercise performed before breakfast resulted in a significant attenuation in the postprandial TAG response over the entire observation period.

Relatively few studies have directly compared the effects of exercise timing relative to meal ingestion on macronutrient oxidation over the course of a day. The present findings are consistent with earlier work reporting that exercise performed before a morning meal resulted in a greater total amount of fat oxidised over a 2–8 h observation period compared with exercise performed after a meal(Reference Schneiter, Di Vetta and Jéquier9, Reference Bennard and Doucet10). The present data extend this work by showing that fat oxidation remained higher and fat balance was lower over the course of an 8·5 h observation period during which an ad libitum lunch was provided to replicate a typical ‘real-life’ setting. It is of interest that the difference in overall fat oxidation between the Ex-Meal and the Meal-Ex trials was entirely due to the difference in fat oxidation during the exercise session itself (Ex-Meal 23·0 (sem 1·3) g v. Meal-Ex 17·3 (sem 1·3) g, P =0·0005) rather than any differences in fat oxidation during the post-exercise period (Ex-Meal 53·0 (sem 3·8) g v. Meal-Ex 53·6 (sem 2·5) g, P =0·97). Thus, at least when exercise is of moderate intensity, the increased fat oxidation (and reciprocally lower carbohydrate oxidation), which occurs when exercise is performed in the fasted, compared with the fed state, does not appear to be offset by reduced fat and increased carbohydrate oxidation over the remainder of the day. This may reflect the fact that the greater carbohydrate oxidation during exercise in the Meal-Ex trial was likely to be due in large part to the increased oxidation of exogenous carbohydrate ingested at breakfast(Reference Tsintzas and Williams33), such that muscle and liver glycogen stores are unlikely to have been lower following the Meal-Ex trial compared with the Ex-Meal trial, despite the increased carbohydrate utilisation(Reference Tsintzas and Williams33, Reference Coyle, Coggan and Hemmert34), and it is low glycogen that stimulates the post-exercise increase in fat oxidation(Reference Kiens and Richter35). It is also worth noting that we did not observe any significant differences in fat oxidation in the post-exercise period between either exercise trial or the CON trial, although post-exercise fat oxidation values were numerically higher than the CON trial in both the Ex-Meal (by 3·4 g) and Meal-Ex (by 4·0 g) trials. While this observation is consistent with an earlier report from the authors, in which no significant increase in post-exercise fat oxidation was observed(Reference Burton, Malkova and Caslake4), it contrasts with other studies that have reported significant increases in fat oxidation post-exercise(Reference Farah, Malkova and Gill5, Reference Burton, Malkova and Caslake14, Reference Charlot, Pichon and Chapelot36). It is therefore conceivable that the absence of a statistically significant increase in post-exercise fat oxidation in either exercise trials, compared with the CON trial, could have been a consequence of low statistical power.

Despite the energy balance in both exercise trials being similar at the end of the 8·5 h observation period – both were approximately 2000 kJ lower than CON – the lower fat balance in the Ex-Meal trial compared with the Meal-Ex trial (approximately 1250 kJ v. approximately 900 kJ lower than CON) could potentially have implications for the regulation of body fat. Loss of body fat requires a negative fat balance(Reference Schutz1), and thus if the effects seen in the present study persist over the longer term, greater fat loss would be expected to occur when exercise is performed in the fasted state before breakfast compared with after breakfast in the postprandial state. However, one important caveat to consider is that, as the present study was performed in a laboratory, rather than in a free-living setting, opportunity for spontaneous physical activity over the course of day was limited. Excluding exercise, the mean rate of energy expenditure over the 8·5 h observation period was approximately 1·2 × RMR in all three trials. Under free-living conditions, the rate of energy expenditure would typically be expected to be in the order of 1·4–1·6 × RMR(37). This would correspond to an increase in energy expenditure of approximately 500–1000 kJ over the period of observation in a free-living setting compared with the present laboratory-based setting. Thus, it is possible that differences over the day in spontaneous activity between the Meal-Ex- and Ex-Meal-type scenarios under free-living conditions could offset the differences in fat balance observed between the two exercise trials in the present laboratory-based study. Thus, a longer-term follow-up trial, under free-living conditions, is warranted to determine whether the lower fat balance observed in the present trial, when the exercise was performed before, compared with after, eating breakfast, would translate to greater long-term fat loss.

Although many studies have examined the effects of short-term exercise on meal consumption and appetite, research examining the potential interactive effects of exercise timing and appetitive behaviour is more limited. Three studies have suggested that exercise performed after, compared with before, a meal results in a greater suppressive effect of exercise(Reference Deighton, Zahra and Stensel38–Reference Borer, Wuorinen and Chao40). This contrasts with the present findings, where we report no difference in appetite responses between trials. However, only one of these earlier reports measured ad libitum food intake as well as subjective appetite scores(Reference Deighton, Zahra and Stensel38). Interestingly, Deighton et al. (Reference Deighton, Zahra and Stensel38) reported that the greater suppression of appetite with postprandial exercise did not translate to a difference in ad libitum energy intake over a 24 h observation period, which is consistent with the energy intake data in the present study. We found that, overall, ad libitum energy intake was similar between all trials, indicating that, despite inducing an energy deficit of approximately 1800 kJ, exercise, irrespective of its timing relative to meal ingestion, did not increase subsequent energy intake. This observation is consistent with previous findings that have typically shown that short-term energy intake (over 1–2 d) is unaltered by an acute exercise-induced energy deficit(Reference Farah, Malkova and Gill5, Reference Hopkins, King and Blundell41, Reference King, Wasse and Ewens42), which contrasts markedly with the marked increased energy intake observed in response to a dietary-induced energy deficit(Reference King, Wasse and Ewens42). An important caveat to consider in all laboratory-based investigations of energy intake is that the experimental setting itself may have influenced eating behaviour. We attempted to minimise this influence by avoiding investigator presence while the ad libitum lunch was consumed and by not informing participants that energy intake was being measured. However, it is possible that energy intake during the trials was not fully reflective of intake under free-living circumstances. In addition, a degree of caution is advised in extrapolating these short-term findings to potential effects on long-term weight and fat loss, as it has been suggested that, over the long-term, increases in energy intake can potentially explain the lower-than-expected weight loss often observed following exercise interventions(Reference King, Hopkins and Caudwell43, Reference Turner, Markovitch and Betts44). This, however, is not an unequivocal finding, as other studies have reported that differences in energy intake do not explain the variability in the weight loss response to exercise interventions(Reference Barwell, Malkova and Leggate45, Reference Manthou, Gill and Wright46).

The present study also highlights the effect of timing of exercise relative to meal ingestion on postprandial TAG responses. It is well-established that pre-meal exercise performed 4–18 h before a meal is effective in attenuating the lipaemic response to a fatty meal(Reference Farah, Malkova and Gill5, Reference Burton, Malkova and Caslake14–Reference Miyashita, Burns and Stensel17). When exercise is of an aerobic endurance-based nature, the magnitude of the exercise-induced TAG lowering appears to be related to the energy expenditure/energy deficit incurred, largely independent of exercise intensity(Reference Malkova and Gill11, Reference Burton, Malkova and Caslake14, Reference Peddie, Rehrer and Perry47). Interestingly, this relationship between energy expenditure and magnitude of TAG reduction does not appear to hold true when the exercise performed is of very high intensity, i.e. resistance(Reference Peddie, Rehrer and Perry47), or anaerobic sprinting-type(Reference Gabriel, Ratkevicius and Gray48) in nature. However, the effect of exercise immediately prior to or immediately following a meal on postprandial TAG responses is less clear, with only two studies with conflicting findings directly comparing the effects of pre- and post-meal moderate-intensity exercise on postprandial TAG metabolism. Both Katsanos & Moffat(Reference Katsanos and Moffatt18) and Zhang et al. (Reference Zhang, Thomas and Ball19) found that pre-meal exercise attenuated postprandial TAG concentrations, but only the former(Reference Katsanos and Moffatt18) reported a similar effect for exercise performed in the postprandial state. Importantly, however, neither study considered the effects of exercise on the metabolic responses to subsequent meals, which is of key importance in translating laboratory findings to everyday living where sequential meals are consumed throughout the day. The present findings indicate that over the total 8·5 h observation period, which included an ad libitum lunch meal, exercise performed before breakfast significantly lowered the postprandial TAG response by 17 %, but the 11 % reduction in the TAG response elicited by Meal-Ex did not achieve statistical significance.

However, when examining the data for the postprandial TAG response in separate intervals, we observed lower postprandial TAG in the post-lunch interval in both exercise conditions compared with the CON. This suggests that the smaller overall TAG reduction when exercise was performed after meal ingestion may have been a consequence of the exercise being performed at a later time point: in this trial, the exercise session began 2 h later than when exercise was performed prior to breakfast. This fits with data indicating that the increase in lipoprotein lipase (LPL) activity following exercise is delayed – increases in skeletal muscle LPL activity are evident 4 h post, but not immediately following, exercise(Reference Kiens, Lithell and Mikines49). Thus, the time course for TAG lowering when exercise is performed at a later time may have been simply shifted to later in the day. However, effects of exercise on LPL may not tell the whole story, as reductions in TAG have been documented without concomitant increases in post-heparin plasma or skeletal muscle LPL activity(Reference Herd, Kiens and Boobis50, Reference Ferguson, Alderson and Trost51), implying that the reduction in TAG may be accounted for by mechanisms other than increased LPL activity. Recent data suggest that the TAG-lowering effect of exercise may be due to exercise-induced changes in the composition of large VLDL particles to make them a better substrate for LPL(Reference Al-Shayji, Caslake and Gill52), but the time course for such changes is not currently known. It is, however, important to recognise that the TAG-lowering effect of exercise has been shown to last for at least 18–24 h(Reference Farah, Malkova and Gill5, Reference Burton, Malkova and Caslake14–Reference Miyashita, Burns and Stensel17); hence, the effects seen in the present investigation would probably persist beyond the observation period until at least the following day in both exercise trials.

In contrast to the effects on TAG responses, both exercise sessions significantly reduced insulin responses over the overall 8·5 h observation period. In both trials, this effect was largely due to reductions in the insulin response in the ‘breakfast-to-lunch’ interval: insulin responses did not differ significantly between trials in the ‘after lunch’ period. Thus, in the present report, effects of exercise on TAG and insulin responses appeared to be dissociated, which is consistent with previous observations(Reference Gill, Herd and Tsetsonis53), and the effects of exercise on the insulin response were transient, with the insulin-lowering effect largely lost after ingestion of lunch. It is conceivable that the consumption of lunch may have diminished the insulin-reducing effect of exercise; recent studies have indicated that providing replacement energy after exercise, especially in the form of carbohydrate, can attenuate the insulin-sensitising effect(Reference Burton, Malkova and Caslake14, Reference Harrison, O'Gorman and McCaffrey24, Reference Holtz, Stephens and Sharoff54).

In conclusion, undertaking an exercise session, either before or after breakfast, resulted in more negative fat balance and lower postprandial insulin concentrations than a no-exercise CON trial over an 8·5 h observation period, which included an ad libitum lunch. However, exercise performed before breakfast resulted in a more negative fat balance than exercise performed after breakfast, and only the former significantly reduced postprandial TAG concentrations over the entire observation period. Thus, the present findings suggest that there may be an advantage for body fat regulation and lipid metabolism in exercising before compared with after breakfast. This has potential implications for recommendations of exercise timing relative to meal ingestion to maximise metabolic benefits. However, further study is needed to determine whether the results from the present short-term laboratory-based study extend over the long term under free-living conditions.

Acknowledgements

The authors have no conflicts of interest. N. M. F. F. was supported by the Universiti Kebangsaan Malaysia and the Ministry of Higher Education, Malaysia. Both authors contributed to the design of the study, data collection, data analysis and manuscript writing and revision.

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Figure 0

Fig. 1Study design. Participants completed three trials: control (CON), exercise before breakfast meal (Ex-Meal) and exercise after breakfast meal (Meal-Ex). B, test breakfast; L, buffet lunch; walking man denotes 1 h exercise session; ●, expired air measurements; ↓, blood samples and appetite questionnaires.

Figure 1

Table 1Energy expenditure and substrate utilisation during exercise (net values) for the total 8·5 h observation period (including exercise expenditure) and for the total 8·5 h observation period (excluding net exercise expenditure) (Mean values with their standard errors, n 10)

Figure 2

Table 2Time-averaged AUC for subjective ratings of appetite for the before breakfast, breakfast-to-lunch and after lunch observation periods (Mean values with their standard errors, n 10)

Figure 3

Fig. 2(a) Cumulative energy, (b) carbohydrate and (c) fat balances over the 8·5 h observation period. Values are means, with their standard errors represented by vertical bars. □, Test breakfast; ■, buffet lunch; , exercise in the Ex-Meal (exercise before breakfast meal, ) trial; , exercise in the Meal-Ex (exercise after breakfast meal, ) trial. * Mean value was significantly different from CON () (P< 0·001). † Mean value was significantly different from Meal-Ex (P< 0·001).

Figure 4

Fig. 3(a) TAG, (b) insulin and (c) glucose responses over the 8·5 h observation period. Values are means, with their standard errors represented by the vertical bars. □, Test breakfast; ■, buffet lunch; , exercise in the Ex-Meal (exercise before breakfast meal, ) trial; , exercise in the Meal-Ex (exercise after breakfast meal, ) trial. , Control. For insulin, 1 mU/l = 6·945 pmol/l.

Figure 5

Table 3Time-averaged AUC for TAG, insulin and glucose for the before breakfast, breakfast-to-lunch, after lunch and total observation periods (Mean values with their standard errors, n 10)