The amount that people eat of a particular food is based on previous exposure to the food item(Reference Booth, Mather and Fuller1). There are two important factors that play a role in the amount eaten: the perception of sensory attributes of the food and the physiological effects after ingestion(Reference Booth, Mather and Fuller1, Reference Shepherd2). Initially, people are not aware of the post-ingestive effects of a novel food and may decide on a specific volume independent of the food's energy content(Reference Bell, Roe and Rolls3). People will learn about the energy content by repeated exposure, and associate this with the sensory characteristics of the food. These learned associations help to estimate the satiating capacity of many foods, and to regulate food intake by adjusting portion size or energy intake in a subsequent eating occasion(Reference Booth, Mather and Fuller1, Reference Yeomans, Weinberg and James4–Reference Mars, Hogenkamp and Gosses6).
Studies on energy intake compensation in adults, however, have shown inconsistent results. Some studies have reported intake compensation in response to different energy levels provided by test foods(Reference Booth, Mather and Fuller1, Reference Yeomans, Weinberg and James4–Reference Mars, Hogenkamp and Gosses6), while others do not(Reference Specter, Bellisle and Hémery-Véron7–Reference Hogenkamp, Mars and Stafleu10).
These inconsistent results have been explained by several factors(Reference Mars, Hogenkamp and Gosses6, Reference Yeomans11). A potential explanation for the lack of compensation is that a specific amount eaten may reflect lifelong habitual intake(Reference Brunstrom and Mitchell12), making new learning relatively difficult. Also, humans tend to clean their plate(Reference Fay, Ferriday and Hinton13), reducing the occurrence of within-meal intake compensation.
A lack of response may also indicate that better control over the underlying factors (e.g. an adequate number of exposures or differences in energy loads to ensure effects) is needed to increase understanding of the mechanism of energy intake adjustments, and give further insight into the determinants of meal size.
The satiating efficiency per unit energy is one of the determinants that may affect actual intake(Reference Kissileff, Gruss and Thornton14), and, indeed, expectations about the satiating effects of a food differ markedly across a broad range of food items(Reference Brunstrom, Shakeshaft and Scott-Samuel15). Changes in expected satiation are thought to be required for an adjustment in meal size, and these expectations can be modified by learning about the food's satiating capacity by repeated consumption. Results of a previous study showed that participants changed expected satiation after one exposure to a novel test food of which energy density was covertly manipulated (either low or high), but this was not reflected in subsequent intake(Reference Wilkinson and Brunstrom16). Changes in expected satiation were only small, and the single exposure may not have been sufficient to allow for profound learning. Repeated exposure, on the other hand, might increase the demonstrated changes in expected satiation, and consequently results in behavioural changes in intake(Reference Wilkinson and Brunstrom16). In addition, familiarity tends to increase with repeated exposure, and it has been suggested that familiarity with a food influences its expected satiation(Reference Brunstrom, Shakeshaft and Alexander17).
To test the hypothesis that expected satiation will change consistently after repeated consumption, we conducted a conditioning experiment (study 1) in which participants repeatedly consumed a fixed portion of either a low-energy-dense (LED) or a high-energy-dense (HED) soup. We anticipated that learning would be demonstrated by a condition-dependent shift in expected satiation on day 5 relative to baseline. To explore the extent to which expected satiation was associated with actual intake, we offered the soup ad libitum on day 5.
We observed a difference in expected satiation between the energy conditions at baseline in study 1 that suggested a role for sensory attributes in expected satiation. In a second study (study 2), we investigated whether participants were able to discriminate between the expected satiation of different types of soup. We measured expected satiation of the LED and HED soup from study 1 and of four commercially available types of soup. Subsequently, expected satiation was linked to the product's sensory characteristics.
Study 1. Expected satiation of a low- or high-energy-dense soup over repeated consumption
Methods
Participants
Healthy, normal-weight young adults (range 18–35 years) were recruited from Wageningen and the surrounding areas. Exclusion criteria were restrained eating (scores: males ≥ 2·25, females ≥ 2·80 based on the Dutch Eating Behaviour Questionnaire(Reference Van Strien18)), being a vegetarian, a change in body weight of >5 kg during the last 2 months, an energy-restricted diet during the last 2 months, having difficulties with swallowing/eating, lack of appetite and suffering from gastrointestinal or endocrine disorders. Participants were pair-matched for BMI, restraint score and age, and randomly assigned to one of two conditions, consuming either a LED or a HED soup. In total, sixty-four participants completed the conditioning experiment (see Table 1 for characteristics).
DEBQ, Dutch Eating Behaviour Questionnaire.
* Participants were matched for BMI, restraint score and age.
† Different participants were tested in study 1 and study 2.
‡ Restraint scale: 1, not at all; 5, very high.
Participants were unaware of the exact aim of the study, and were told that we investigated the effect of frequent consumption of ‘soup as a main course’ on their daily dietary pattern. 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 Medical Ethical Committee of the Wageningen University (NL28577.081.09). The trial has been registered with the Dutch Trial Register (Nederlands Trialregister (NTR); registration no. NTR 1988). Written informed consent was obtained from all subjects.
Design
In a between-subject design, participants were offered either a LED or a HED soup for lunch on five consecutive days (Monday to Friday). On days 1–4, the soup was served in a fixed volume; on day 5, the soup was served ad libitum and intake was assessed. Expected satiation was measured on days 1, 2 and 5, to get further insight into the effect of repeated consumption (measure day 5) on expectations, compared with a single exposure (measure day 2). Preceding the conditioning experiment, the participants were trained in the procedures, which are explained below.
Test food
The following two versions of a novel flavoured and coloured soup were developed for the present study: a LED (208 kJ/100 g) and a HED (645 kJ/100 g) version, similar in appearance. A homogeneous soup was prepared on the basis of a white sauce (‘roux’), which consisted of sunflower oil (30 g), fine wheat flour (40 g), fine vegetable broth powder (10 g ‘Knorr’; Unilever Nederland B.V., Rotterdam, The Netherlands), salt (2 g), a pesto-flavoured herbal mix (6 g ‘Green Pesto Dipper’; Duyvis Smiths Food Group B.V., Utrecht, The Netherlands) and a green food-colouring agent (5 ml/1000 g for the LED soup, 3·7 ml/1000 g for the HED soup; Jo-La, Chan's B.V., Alphen a/d Rijn, The Netherlands) for every 1000 g soup. In addition, lecithin powder (5 g; Zonnatura, Zonnatura B.V., Utrecht) was used as an emulsifier.
The energy density of the HED soup was manipulated by an increased quantity of sunflower oil (+70 g), and by the addition of maltodextrin (82 g Fantomalt; Nutricia Nederland B.V., Zoetermeer, The Netherlands) and protein powder (15 g Peptan P; Rousselot S.A.S., Son, The Netherlands). For every 1000 g soup, 902 g water was added to the LED soup and 735 g water to the HED soup.
Macronutrient content was determined by chemical analysis of samples taken from a homogeneous mixture of samples that were collected every testing day. The proportion of energy provided by the different macronutrients was similar for the LED and HED soup (Table 2).
* Shown per 100 g soup. Values determined by chemical analyses of samples taken from a homogeneous mixture of samples collected every testing day.
† Shown per 100 g soup. Values based on nutritional information provided by the producer (per 100 ml soup).
The soup was served in a preheated bowl at 65°C. During the conditioning period (days 1–4), soup was served in a fixed volume of 300 g for women and 400 g for men. On day 5, all participants were served 1000 g of soup. When the weight of the soup fell below 100 g, a researcher was alerted by the computer and the bowl was refilled. This happened only once and in the LED condition.
Measurement of expected satiation
In both studies, expected satiation was measured using a ‘method of adjustment’ (based on Brunstrom et al. (Reference Brunstrom, Shakeshaft and Scott-Samuel15)). This method has been shown to be an effective and sensitive measure of expectations(Reference Brunstrom, Shakeshaft and Scott-Samuel15, Reference Wilkinson and Brunstrom16). During the measurements, the soup was physically present and assessed against seven commonly consumed ‘comparison foods’. Pictures of each comparison food were shown on a computer screen. The order of appearance of these foods was randomised across participants, and the trial started with a different and randomly selected amount for each comparison food. After a single spoonful of soup, participants were asked to ‘indicate the amount of food on the picture that would be equally as satiating as the bowl of soup in front of you immediately after consumption’. The amount could easily be adjusted using the arrow keys on the keyboard. The pictures were loaded with sufficient speed in a way that continuous use of the arrow keys gave the impression that the change in the amount of food was ‘animated’. The amount that could be displayed ranged from 347 to 3138 kJ (83 to 750 kcal). A total of fifty-one pictures were used to display these amounts. Picture number 25 displayed a 1046 kJ (250 kcal) portion. Picture number 0 displayed 0·3 times and picture number 50 displayed 3 times this amount, i.e. the amount increased 1·05 times with each picture in the series. All comparison foods used were meal items, i.e. foods commonly consumed to satiation, which were familiar to our participants (indicated on a questionnaire at intake). We assumed this would enable the participants to indicate the expected satiation precisely based on previous exposure to the comparison foods. The comparison foods included small potatoes (boiled; 314 kJ/100 g), rice curry (‘chicken tikka masala’; 460 kJ/100 g), penne and tomato sauce (502 kJ/100 g), spaghetti Bolognese (590 kJ/100 g), oven fries (1100 kJ/100 g), cheese and tomato pizza (1293 kJ/100 g), and baguettes with garlic and herb butter (1423 kJ/100 g).
Procedures
Participants were asked to refrain from eating from 23.00 hours the day before each test day and to consume a self-selected, identical breakfast on each test day. Participants consumed their standardised breakfast at least 3 h before the start of the lunch. Consumption of non-energy beverages was permitted up to 1 h before the test session. After each test session, the participants were instructed not to eat anything for at least 2 h. Food diaries were used to increase compliance to the eating and drinking restrictions, and reported consumption confirmed adherence to the procedures.
Participants were tested in isolated sensory cabins at the same time each test day, either 11.30 hours (n 20), 12.30 hours (n 29) or 13.30 hours (n 15). Soup was prepared freshly for every lunch session. On arrival, participants rated their appetite sensations (hunger, fullness, desire to eat and prospective consumption). Ratings were performed on a 100-unit visual analogue scale (VAS), anchored ‘not at all’ to ‘extremely’ for hunger, fullness and desire to eat, and ‘nothing at all’ to ‘very much’ for prospective consumption. Participants then received a bowl of soup, consumed a single spoonful, and rated the pleasantness, familiarity and sensory attributes of the soup, all on a 100-unit VAS. Sensory attributes included sweetness, saltiness, creaminess, thickness, intensity of taste, intensity of herbs and intensity of aftertaste. On days 1, 2 and 5, expected satiation was measured immediately after these ratings. On days 1 and 2, participants were then instructed to consume the fixed load of soup. On day 5, soup was offered ad libitum and participants were instructed ‘to eat as much as you like until you feel comfortably satiated’. The bowls were weighed before and after consumption to obtain soup intake. On days 3 and 4, participants consumed the fixed load of soup immediately after rating the sensory attributes of the soup. After soup consumption, participants again rated its pleasantness, familiarity and sensory attributes, and their appetite sensations on a 100-unit VAS.
Data analysis
Continuous variables are presented as means and standard deviations, and categorical variables are presented as frequencies. For each participant, the selected amounts of all seven comparison foods (in kJ) were averaged. This average represents the expected satiation of the soup, i.e. the amount (in kJ) that is expected to be equally as filling as the bowl of soup.
Expected satiation scores were log-transformed before being entered into our analysis. For reasons of clarity, we converted the data into corresponding kJ when mean values are presented.
Effects of repeated consumption, energy condition and their interaction effect on expected satiation, appetite sensations and sensory attributes were tested using ANOVA (mixed-model procedure), and Tukey's post hoc tests were used to test for differences between the energy conditions and test days. Delta scores refer to the decrease in ratings on hunger, desire to eat and prospective consumption, and the increase in fullness ratings after consumption of the soup.
We used an independent-samples t test to compare differences in ad libitum intake (both volume and energy) of the LED and HED soup.
Data were analysed using SAS (version 9·1; SAS Institute, Inc., Cary, NC, USA). Results at a P value of < 0·05 were considered significantly different.
Results
Expected satiation
Expected satiation did not change over repeated consumption (F(1,126) = 0·01; P = 0·89), not for the LED soup (F(1,63) = 0·96; P = 0·33) nor for the HED soup (F(1,63) = 2·11; P = 0·15). We observed a main effect of energy condition on expected satiation (F(1,62) = 5·07; P = 0·03). Post hoc tests revealed that the expected satiation of the HED soup was higher than the LED soup on day 1 (t = − 2·16; P = 0·03), and did not differ between the LED and HED soup on the subsequent test days (Fig. 1). The interaction between energy condition and repeated consumption was not statistically significant (F(1,62) = 2·80; P = 0·10).
Ad libitum intake
The volume of soup consumed when offered ad libitum was not significantly different between the LED (461 (sd 213) g) and the HED soup (391 (sd 164) g; P = 0·14). Energy intake, however, was higher in the HED condition (2452 (sd 1029) kJ) than in the LED condition (925 (sd 427) kJ; t = − 9·23; P < 0·0001).
Appetite sensations
No differences in any of the sensations of appetite before or after consumption, nor in the delta scores were found between the LED and HED soup (all P>0·05). Delta scores were significantly greater after ad libitum intake compared with the consumption of the fixed loads of soup (all P < 0·01), except for fullness on day 1 compared with fullness after ad libitum intake (data not shown).
Sensory attributes
None of the ratings on the sensory attributes changed over repeated consumption, but we observed a main effect of energy condition on pleasantness (F(1,254) = 6·59; P = 0·01), creaminess (F(1,254) = 16·96; P < 0·0001) and thickness (F(1,254) = 9·22; P = 0·003). Ratings on these attributes after one spoonful differed between energy conditions (all P < 0·01), with the HED soup evaluated to be more pleasant, thicker and creamier than the LED soup on day 1 (Table 3). Differences in creaminess and thickness soup persisted over all test days (P < 0·001). Pleasantness ratings after one spoonful were not different between the LED and HED soup on days 2–5, or after consumption of a complete bowl of soup on any of the test days. Familiarity ratings increased over repeated consumption (51 (sd 20) units VAS on day 1 to 69 (sd 25) units VAS on day 5; F(1,248) = 56·08; P < 0·0001), but were not different between the LED and HED soup (F(1,248) = 0·16; P = 0·69).
* Ratings were performed on a 100-unit VAS after one spoonful of soup. For study 1, ratings of day 1 were reported.
† Ratings were significantly different for the LED and HED soup (all P < 0·05). Pleasantness ratings in study 1 were not different between the LED and HED soup on days 2–5.
‡ Sensory attributes were positively correlated with expected satiation in study 2 (P < 0·001).
Interim discussion
The objective of the present study was to investigate whether expected satiation changes in response to repeated consumption of a LED or HED soup, indicating that learning modifies expectations. The present results show that expected satiation remained unchanged over the 5-d period.
At baseline, expected satiation of the HED soup was higher than that of the LED soup. This difference was relatively small compared with the actual difference in energy content, and we observed no differences in expected satiation after repeated consumption. To explore the direct effect of expected satiation on food intake, we offered the soup ad libitum on day 5. The ad libitum intake was equal in the LED and HED condition, corresponding with the lack of differences in expected satiation. Although we did not measure ad libitum intake at baseline, the similar volume intake after repeated consumption implies that participants did not have reason to adjust their meal size in response to the considerable differences in energy density of the soup in the two conditions. Participants may have consumed a ‘regular amount’ of soup, with the volume consumed as the primary determinant of intake regulation(Reference Bell, Roe and Rolls3, Reference Rolls, Castellanos and Halford19). As a consequence, the energy intake in the high-energy condition (2452 kJ) was more than 2-fold the energy intake in the low-energy condition (925 kJ). Since we were especially interested in the effects of learning on meal size, we did not collect information on feelings of satiety or food intake during the remainder of the day. Adequate intake compensation in response to the differences in energy density beyond the meal provided, however, seems unlikely(Reference Kissileff, Gruss and Thornton14, Reference Levitsky, Obarzanek and Mrdjenovic20, Reference Caputo and Mattes21).
Participants consumed the soup in a fasted state and abstained from eating 2 h after the test session, to ensure awareness of the satiating effects. Expected satiation, however, did not change after repeated consumption of the LED or HED soup. Several reasons can be considered for the apparent absence of learning about the satiating capacity of this test soup.
When the soup was offered ad libitum at day 5, the volume consumed was higher than the fixed load of soup provided on days 1–4, resulting in greater changes in sensations of appetite. This implies that participants may not have been comfortably satiated during the conditioning period. It has been suggested that learning is most effective when a food is eaten to fullness, and causes a persistent change in expectations of the specific food(Reference Irvine, Brunstrom and Rogers22). The fixed amount we served was based on the average intake at lunch of Dutch young adults (male/female: 2540 kJ/1766 kJ)(Reference Hulshof, Ocké and Van Rossum23), and on previous results on ad libitum intake of a homogeneous soup with similar energy density as our LED soup (intake males: 423 g, females: 340 g)(Reference Bolhuis, Lakemond and de Wijk24). The fixed loads in the present study, however, may not have been adequate to evoke significant differences in post-ingestive effects that facilitate learning.
Additionally, the study aim communicated to the participants may have modified their expectations. ‘Frequent consumption of soup as a main course’ implies that the soup will provide a substantial meal, which will be satiating upon finishing. Previous studies investigating hedonic expectations have shown that evaluation after consumption is generally adjusted towards expectations(Reference Wansink, Ittersum and Painter25, Reference Cardello and Sawyer26), especially after negative confirmation(Reference Siret and Issanchou27). Only when foods taste much better than expected(Reference Wansink, Ittersum and Painter25) or when there is a large contrast between expectation and evaluation(Reference Yeomans, Chambers and Blumenthal28), future expectations will be adjusted. This adjustment of evaluation towards prior expectations may also affect changes in expectations of the satiating capacity of a food(Reference Wansink, Ittersum and Painter25). Despite the large difference in energy density of the provided soups, the contrast between the ‘expected substantial meal’ and actual post-ingestive effects may not have been sufficient to change expected satiation.
It can be argued that the ‘pesto’-soup was novel within the category of soup products, but not highly novel in itself. Increases in familiarity ratings were only small, and possibly not sufficient to affect expectations. Expectations could then have been based on soup in general and reflect beliefs on an ‘prototypical’ item of the specific food category(Reference Brunstrom29). Based on repeated consumption over lifetime, people have learned that soup in general is a very satiating product(Reference Mattes30, Reference Rolls31). This may have limited the learning of new flavour–nutrient associations, thereby inhibiting a possible change in expected satiation. Moreover, 4 d of repeated consumption may have been insufficient to change beliefs about a familiar product(Reference O'Sullivan, Alexander and Ferriday32, Reference Brunstrom33). Results in Fig. 1 suggest that participants adjusted their expected satiation after the first exposure already, although the adjustments were small and not statistically significant. Using a more novel food may have resulted in profound changes in expected satiation after one exposure(Reference Wilkinson and Brunstrom16).
Overall, the results indicate that cognitive factors related to the food's satiating capacity are very hard to change. The apparent absence of adequate learning may facilitate overconsumption, since conditions that are required for learning to occur may be suboptimal in the complex dietary environment in our daily life.
Since expected satiation may play a role in decisions on meal size, understanding its underlying factors can expand our current insight into the regulation of food intake. To further investigate the determinants of expected satiation, we refer to the difference in expected satiation between the two test soups at baseline. This difference indicates that participants discriminated the two soups based on the first spoonful, and implies that expectations were not exclusively based on volume of the soup. Other factors, such as differences in sensory characteristics (Table 3), may also play a role.
We examined this difference in expected satiation in more detail, and assessed the extent to which participants were able to discriminate between different food items from one product category, i.e. to discriminate between different types of soup. We performed a single measurement of expected satiation of the LED and HED soup from study 1, and of four commercially available types of soup (study 2). Participants evaluated all six types of soup, and judged perceived intensity of several sensory attributes that were subsequently associated with expected satiation.
Study 2. Expected satiation of six types of soup
Methods
Participants
A total of thirty adults participated in the present study (see Table 1 for characteristics). Recruitment procedures were as in study 1. Different participants were tested in study 1 and study 2.
Design
In a within-subject design, participants conducted a single measurement of expected satiation of six types of soup: the LED and HED soup from study 1, and four commercially available types of soup that were assumed to be consumed regularly. Soup was presented in a fixed volume of 300 g for women and 400 g for men, and participants tasted a single spoonful from each type of soup. Ratings on perceived intensity of sensory attributes were associated with expected satiation.
Test food
We measured expected satiation of the LED and HED soup from study 1, and of four commercially available types of soup: chicken (‘Unox Stevige-soep-in-blik’; Unilever Nederland B.V.), mushroom, tomato and pea (all ‘Unox Soep-in-zak’; Unilever Nederland B.V.). The chicken soup was a clear soup with pieces of chicken (5·5 %), carrot and noodles; the mushroom soup was a cream soup (based on skimmed milk powder) with mushrooms (6·5 %); the tomato soup contained tomatoes (82 %), basil and oregano; the pea soup contained peas (21 %), smoked sausage (5 %), and small pieces of potato, carrot, bacon and onion (all < 4 %). Energy density and macronutrient composition of all types of soup are reported in Table 2.
Procedures
Participants had a single test session at 11.00 hours (n 7), 12.00 hours (n 12), 13.00 hours (n 9) or 14.00 hours (n 2). Breakfast was consumed at least 3 h before the start of the session. Participants rated their appetite sensations on a 100-unit VAS on arrival, and ratings on hunger, fullness, desire to eat and prospective consumption confirmed adherence to the breakfast instructions. We demonstrated the measurement of expected satiation, and presented the first bowl of soup. Participants tasted a single spoonful, rated pleasantness, familiarity and sensory attributes (sweetness, saltiness, creaminess, thickness, intensity of taste, intensity of herbs and intensity of aftertaste), and completed the measurement of expected satiation. Participants were then instructed to return the bowl of soup and to neutralise their taste by eating plain crackers and drinking water. This procedure was repeated for all the types of soup. The order of presentation was randomised within participants. The measurement of expected satiation was conducted as in study 1.
Data analysis
As in study 1, the selected amounts of all seven comparison foods (in kJ) were averaged for each participant to calculate the expected satiation of each soup. Analyses were conducted with log-transformed data, and converted into corresponding kJ when mean values are presented.
The effect of the type of soup on expected satiation was tested using ANOVA, and Tukey's post hoc test was used to test for differences between the types of soup. We assessed associations between sensory attributes and expected satiation using Pearson's correlation coefficients (r) and their associated 95 % CI. Multivariate stepwise linear regression analysis with backward elimination was used to test independence of these associations. The differences in expected satiation between study 1 and study 2 were tested with a two-sample t test.
Data were analysed using SAS (version 9.1; SAS Institute, Inc.). Results at a P value of < 0·05 were considered significantly different.
Results
Expected satiation
Fig. 2 shows the expected satiation for each of the six types of soup, as well as their actual energy content as served. Except for the HED soup, all types were expected to be more filling than the comparison foods, kJ for kJ. Expected satiation differed significantly across the soups (F(5,145) = 14·87; P < 0·0001).
Post hoc tests showed that expected satiation of the chicken soup was lower than that of all other types of soup; expected satiation of the pea soup was higher than that of all other types of soup (all P < 0·0001). The difference between expected satiation of the LED and HED soup was borderline significant (t = 2·85; P = 0·06). Expected satiation did not differ from study 1 for the LED soup (study 1: 1113 (sd 238) kJ v. study 2: 1099 (sd 309) kJ; t = 0·13, P = 0·90) or the HED soup (study 1: 1224 (sd 254) kJ v. study 2: 1289 (sd 449) kJ; t = − 0·19, P = 0·85). We observed no differences in expected satiation between the tomato soup, the mushroom soup and the LED soup, or between the tomato soup, the mushroom soup and the HED soup.
Sensory attributes
Thickness, creaminess, intensity of taste, intensity of aftertaste and intensity of herbs were positively correlated with expected satiation of the different types of soup (Table 3).
Regression analysis showed that only thickness and intensity of taste were independently associated with expected satiation. These two sensory attributes accounted for 40 % of the variability in expected satiation (R 2 0·40).
Discussion
In this second study, we conducted a single measurement of expected satiation of the LED and HED soup and four commercially available types of soup in a within-subject design, and with different participants tested. The present findings coincide with those from study 1. They show that the used method of adjustment is a reproducible measure, and a precise means to assess expectations. Moreover, the results indicate that people discriminated the test soups and estimated the order of the satiating capacity of different types of soup reasonably well.
Expected satiation is assumed to guide decisions on meal size, with selection of different portion sizes of food items differing in expected satiation. A previous study, however, reported similar intake of the two test foods despite differential changes in expected satiation(Reference Wilkinson and Brunstrom16). One explanation for the similar intake is that prolonged exposure will be required before behavioural changes may be observed. Another explanation is that the type of test foods, i.e. sorbets, may have limited the observation of intake compensation: one may not be used to eat dessert-specific products until satiation, since these foods are in general consumed in a fixed amount after dinner. Meals consumed in daily life, however, often consist of several food items, and intake compensation may be demonstrated more easily by adjusted intake of food items that are used to be eaten until satiation, e.g. familiar staple foods. The satiating capacity of these foods may be well known and may therefore facilitate decisions on an adequate portion size. The effect of differences in expected satiation on actual intake warrants further investigation.
The differences in expected satiation in study 2 suggest that the absence of changes in expected satiation in study 1 is not due to insensitivity to differences between the soups, and that equal volumes of the different soups do not result in equal expectations of satiating capacity per se. Instead, the differences suggest that we are sensitive to subtle characteristics of soup, but prior experiences with these characteristics, familiarity with the test food's product category, and an insufficient contrast between expectations and evaluation may have limited relearning in study 1. Expectations as reported in study 2 may reflect the actual satiation that has been experienced throughout life when consuming that specific soup. Expectations may also reflect the evaluation of the sensory characteristics in general, with perceived thickness as an important determinant of expected satiation: more solid foods have been experienced to be more satiating than liquid foods(Reference Hulshof, De Graaf and Weststrate34–Reference Mattes and Rothacker36). In either way, this suggests that expectations relating to the satiating capacity of a food are based on learning throughout lifetime, and are not easily changed. This may explain the absence of energy adjustments in other flavour–nutrient learning studies.
It also gives further insight into the particular conditions that are required for learning to occur. As suggested, a prolonged exposure period may be essential for a behavioural change, but it will be hard to define the extent to which the conditioning period must be extended to show evidence for learning or relearning. Also, serving highly novel foods might enable learning to occur: expected satiation of novel foods will not yet be strongly based on previous experiences and therefore susceptible to change. More important, learning may be promoted by a large contrast between the pre-existing beliefs and the post-ingestive evaluation of a specific food. This can be realised by, for example, large differences in energy density or texture between the versions of the test food, which do not comply with expectations relating to the food's satiating capacity.
Conclusion
Adults did not adjust their expected satiation in response to repeated consumption of the LED or HED soup in study 1. The apparent absence of learning and consequent intake adjustments may facilitate overconsumption. Energy learning may require a large contrast between expectations and post-consumption evaluation to occur. Results of study 2 indicate that expected satiation did not exclusively depend on the volume served, but that participants were able to discriminate between the soups with different sensory attributes and energy content. Expectations may initially rely on sensory attributes and previous experiences.
Expected satiation is assumed to be an important determinant in decision on portion size. It will be interesting to further investigate its role in actual food intake, and to get more insight into the possibility to change expectations regarding a food's satiating capacity and in the food characteristics that may play a role in this.
Acknowledgements
We thank all participants and research assistants (Natasja Hück, Kathryn Brown, Nicole Konijn, Sandra Bukman); Els Siebelink, Karin Borgonjen, Pauline Claessen and Corine Perenboom for dietary advice; and Tineke van Roekel for the chemical analyses. This study was supported by the Top Institute Food and Nutrition. The authors' responsibilities were as follows: P. S. H. and C. d. G. designed the study; P. S. H. conducted the research and wrote the manuscript; P. S. H., J. M. B. and M. M. analysed the data; all authors interpreted the data and critically revised the manuscript. None of the authors had a personal or financial conflict of interest.