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Increases in fruit intakes in older low consumers of fruit following two community-based repeated exposure interventions

Published online by Cambridge University Press:  08 June 2012

K. M. Appleton*
Affiliation:
School of Psychology, Queen's University, Belfast, 18-30 Malone Road, BelfastBT9 5BP, UK
*
*Corresponding author: K. M. Appleton, fax +44 0 28 9097 5486, E-mail: k.appleton@qub.ac.uk
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Abstract

The present study investigated the value of two repeated exposure interventions for increasing intakes of fruit in older people. A total of ninety-five participants (aged 65 years and over) were randomised to receive either one (E1), five (E5) or five plus (E5+) exposures to fruit over a 5-week period. Fruit exposures occurred in community-based church and social groups, through fruit-tasting sessions involving familiar fruits and novel fruit products and dishes (E1, E5, E5+), and through fruit provision (E5+). Daily intakes of fruit and vegetables were assessed before and after all interventions. Liking for all fruits was also measured during repeated exposure (E5, E5+). In low consumers of fruit (one portion/d or less), fruit intakes increased significantly in the repeated exposure groups (E5, E5+) (t(30) = 5·79, P< 0·01), but did not change in the E1 group (t(16) = 0·29, P= 0·78). No differences were found between E5 and E5+ groups (F(3,87) = 1·22, P= 0·31). Similar effects were also found in fruit and vegetable intakes. No effects were found in other participants. Also, no changes in liking were found. These findings suggest that compared to single exposure, repeated exposure to fruit via fruit-tasting sessions once per week for 5 weeks in a community setting significantly improved fruit intakes, and fruit and vegetable intakes in older low consumers of fruit, although no benefits of additional fruit provision were found. Repeated exposure was also easy to implement, of low cost and enjoyable.

Type
Short Communication
Copyright
Copyright © The Author 2012

Intakes of fruit and vegetables in the older population of the UK and elsewhere are currently below those recommended for health(Reference Appleton, McGill and Woodside1Reference Schatzer, Rust and Elmadfa4). Strategies to increase intakes in adults typically focus on changing knowledge and/or attitudes in an attempt to change behaviours(Reference Cox, Anderson and Reynolds5Reference Steptoe, Perkins-Porras and McKay8). While some success has been achieved, however, many of these interventions are individual-based, highly intensive and costly to run.

Strategies to increase intakes in children and young people more often focus on changing liking and familiarity to result in changes in behaviour, and tend to be conducted using exposure, often in groups. These strategies have also achieved success. Deliberate repeated exposure to and tasting of fruit and vegetables have been found to successfully result in increases in liking and consumption(Reference Lakkakula, Geaghan and Zanovec9Reference Wardle, Herrera and Cooke14). Lakkakula et al. (Reference Lakkakula, Geaghan and Zanovec9, Reference Lakkakula, Geaghan and Wong10) found the repeated presentation of fruits and vegetables to increase liking; Davis et al. (Reference Davis, Weber Cullen and Watson11) found increased intakes of fruit following repeated exposure to fruit; Siem Gribble et al. (Reference Siem Gribble, Falciglia and Davis12) found increased intakes of fruit following repeated exposure to fruit amongst other strategies; and Wardle et al. (Reference Wardle, Cooke and Gibson13, Reference Wardle, Herrera and Cooke14) found the repeated presentation of vegetables to increase liking and intakes of vegetables.

Use of exposure for adults is uncommon. The present study hence aimed to investigate the impact of two repeated exposure interventions for older people on intakes of fruit. The interventions were designed to be enjoyable activities to be undertaken in community-based groups, which could be implemented by non-health professionals.

Methods

Design

The two interventions involved repeated fruit exposure over a 5-week period. Intakes of fruit and vegetables were assessed before and after repeated fruit exposure, and compared to those following a single exposure. Liking for all fruits was also assessed.

Participants

A total of ninety-five participants took part in the study. All participants were aged 65 years or over, were community dwelling and regularly attended a church or social group for older people. Participants were recruited via group announcements, and all participants who volunteered were included in the study, provided they were able to provide informed consent and complete all necessary measures. The study was conducted according to the guidelines laid down in the Declaration of Helsinki and all procedures were approved by the Research Ethics Committee of the School of Psychology, Queen's University, Belfast. Written informed consent was obtained from all participants.

Fruit exposure

For this study, two repeated fruit exposure interventions and one single exposure comparison were used:

  1. (1) Single exposure (E1): fruit sampling on one occasion only.

  2. (2) Repeated exposure (E5): fruit sampling on one occasion per week for 5 weeks.

  3. (3) Repeated exposure Plus (E5+): fruit sampling on one occasion per week for 5 weeks and fruit provision of one portion of fruit per d to be consumed at home for the entire period of 5 weeks.

Participants were randomised into fruit exposure groups on inclusion in the study, based on order of entry (E1 – thirty-nine participants; E5 – thirty-eight participants; E5+– eighteen participants). Group E1 acted as a control group for repeated exposure, but sampled fruit on one occasion to allow comparisons with other groups in terms of group membership. The interventions lasted for 5 weeks based on suggestions from group leaders during pilot discussions. The primary intention of this study was to investigate effectiveness under realistic conditions.

Fruit sampling

On each fruit sampling occasion, participants were required to sample four familiar fruits – tinned pineapple, tinned peaches, raisins and dried apricots; and four novel fruit products or dishes – white grape juice, strawberry smoothie, stewed apple with cinnamon and stewed pear with ginger. Tinned pineapple, tinned peaches, raisins and dried appricots are regularly consumed by older people in the UK, while the novel fruit products and dishes are not(Reference Appleton and Woodside15). Tinned, dried fruit, and fruit products and dishes were used in preference to fresh fruit to ease the practical aspects of running the interventions (preparation, cost, spoilage and waste), and so aid accessibility for community-based groups. On each occassion, participants were provided with an ad libitum supply of each fruit and were asked to sample as much as they wished in order to be able to make judgements on liking. Fruits were sampled in the same order on each occassion, to allow comparability over time. Familar fruits and novel fruit products and dishes were alternated in the order.

Fruit provision

Participants in the E5+ group were also provided with one portion of one of the fruits per d for consumption at home. This fruit was selected by the researcher and remained constant over the 5-week period.

Fruit intakes

Intakes of fruit were assessed every week using 24 h food recalls(Reference Bingham16Reference Kristjandottir, Andersen and Haraldsdottir18). Participants completed each 24 h recall for the day previous to each weekly group meeting, by working through the day from before breakfast to after supper and recording all foods and quantities consumed. All foods were requested to aid completion, and to reduce the possibility of responses due to demand characteristics. Prompts from the researcher, e.g. ‘Did you eat anything with your cup of tea?’, were also used to ensure completion. Similar 24 h recalls have previously been suggested to provide accurate measures of intake, even in older groups, if prompts are used(Reference Bingham16Reference Kristjandottir, Andersen and Haraldsdottir18). Participants were also allowed to make diary-type notes the previous day if they wished. Intakes were assessed by converting the amount of fruit consumed to portions/part portions(19), and adding these. Fruit intakes were the primary outcome measure, but vegetable intakes were also measured (using the same method) and added to fruit intakes (portions of fruit and vegetables), to ensure that changes in fruit intakes were not counteracted by corresponding changes in vegetable intakes. Compensatory decreases in vegetable intakes may occur if fruit intakes increase and participants adhere to an idea that a specific number of portions of fruit and vegetables per d are adequate.

Fruit liking

Liking was assessed using 100 mm visual analogue scales of liking (‘How much do you like this food item?’, anchors: ‘not at all’, ‘extremely’) and pleasantness (‘How pleasant is this food item?’, anchors: ‘not at all’, ‘extremely’), completed for each fruit item, by each individual on each sampling ocassion. Individually completed visual analogue scales are commonly used measures of liking(Reference Yeomans, Spetch and Rogers20, Reference Yeomans, Jackson and Lee21).

Procedure

Participants undertook all fruit sampling and completed all measures during weekly regular meetings. During each meeting, diet recalls were completed first, followed by fruit sampling where appropriate, followed by fruit provision where appropriate. All activities were conducted as communal activities in groups of four to six individuals, with the help of the researcher, to increase participation, completion and enjoyment, but participants were encouraged to be accurate and truthful. Allocation to exposure group was randomised across all church/social groups.

Analyses

Likings and consumption in week 1 were initally compared across all three fruit exposure groups to ensure comparability. Consumption over the subsequent 4 weeks was then compared in repeated exposure v. single exposure groups, and then between the two repeated exposure groups (E5 v. E5+). Likings over the subsequent 4 weeks were also compared between the two repeated exposure groups. Comparsions at week 1 were investigated using one-way ANOVA. Comparsions over subsequent weeks were investigated using two-way ANOVA (group × time). Data from week 1 were not used in analyses investigating effects due to time, due to the potential unreliability in these data as the participants familiarised themselves with the measures, particularly the 24 h recall on their first occasion. Data were analysed using intention-to-treat analyses. All participants provided at least three data points, although not necessarily the first three (six participants provided only three data points (E1: three participants, E5: two participants, E5+: one participant), eleven participants provided four data points (E1: four participants, E5: four participants, E5+: three participants) and seventy-eight (82 %) participants provided data for all five data points). Incomplete data sets were largely a result of other commitments, e.g. doctors appointments, or a lack of transport resulting in the missing of a regular meeting; thus incomplete data sets were completed with means of data points from other weeks. All analyses were conducted twice – once for all participants and once for all participants consuming one portion of fruit per d or less at week 1 – low consumers. One portion of fruit was used as the cut-off for low consumers as the median amount of fruit consumption in the whole sample. Ratings for liking and pleasantness were highly correlated (smallest r 0·786, P< 0·01), and thus only ratings of liking are reported. Data were not analysed for differences between church and social groups, as all exposure groups were represented in each church or social group.

Results

All participants

Group demographics, mean liking for all fruit samples and mean intakes of fruit, and fruit and vegetables for all groups each week are shown in Table 1.

Table 1 Characteristics, intakes and liking for all groups (Mean values and standard deviations)

E1, single exposure; E5, five exposure; E5+, five plus exposure.

At week 1, no differences were found between groups in all measures (largest F(2,94) = 2·81, P= 0·07), except in liking for familiar fruits (F(2,94) = 3·28, P= 0·04), where familiar fruits were liked significantly more by E1 than by E5 (t(74) = 2·29, P= 0·03), but no differences were found between E1 and E5+, or E5 and E5+ (largest t(54) = 1·69, P= 0·10).

Intakes

Significant increases in fruit intakes were found over time (smallest F(3,279) = 4·96, P< 0·01), but no differences were found between single and repeated exposure groups (group × time interaction: F(3,279) = 1·14, P= 0·33) or between E5 and E5+ groups (group × time interaction: F(3,162) = 0·69, P= 0·56). No differences were found in fruit and vegetable intakes over time (largest F(3,162) = 2·05, P= 0·11), and no differences were found between single and repeated exposure groups (group × time interaction: F(3,279) = 1·05, P= 0·37) or between E5 and E5+ groups (group × time interaction: F(3,162) = 1·00, P= 0·40).

Liking

Familiar fruits were liked significantly more than novel fruit products and dishes (F(1,54) = 31·15, P< 0·01), but no differences were found over time or between E5 and E5+ groups (largest F(3,162) = 0·80, P= 0·50).

Low consumers

Group sample sizes, demographics, mean liking for all fruit samples and mean intake of fruit, and fruit and vegetables for all groups each week are shown in Table 2. Between groups of low consumers, significant differences were found at week 1, where low consumers in E1 consumed significantly fewer portions of fruit than low consumers in E5 and E5+ (F(2,47) = 5·68, P< 0·01), and low consumers in E5+ consumed significantly more portions of fruit and vegetables than low consumers in E1 and E5 (F(2,47) = 3·70, P= 0·03).

Table 2 Characteristics, intakes and liking for low consumers (Mean values and standard deviations)

E1, single exposure; E5, five exposure; E5+, five plus exposure.

Intakes

Number of portions of fruit consumed per d differed significantly between single and repeated exposure groups over the four subsequent weeks (group × time interaction: F(3,138) = 3·36, P= 0·02), where consumption increased significantly in the repeated exposure groups (t(30) = 5·79, P< 0·01), but did not change in the E1 group (t(16) = 0·29, P= 0·78). Number of portions of fruit consumed per d, however, did not differ between E5 and E5+ groups (group ×  time interaction: F(3,87) = 1·22, P= 0·31). Similar results were also found in portions of fruit and vegetables consumed per d, where consumption increased significantly in the repeated exposure groups (t(30) = 3·14, P= 0·01), but did not change in the E1 group (t(16) = 0·04, P= 0·97). Number of portions of fruit and vegetables consumed per d did not differ between E5 and E5+ groups (group × time interaction F(3,87) = 0·95, P= 0·42).

Liking

Familiar fruits were liked significantly more than novel fruit products and dishes (F(1,29) = 10·25, P< 0·01), but no differences were found over time or between E5 and E5+ groups (largest F(3,87) = 0·64, P= 0·59).

Discussion

These findings suggest first that repeated exposure to fruit can result in increases in fruit intakes in older low consumers of fruit. This effect of repeated exposure has been demonstrated previously in children and young people(Reference Lakkakula, Geaghan and Zanovec9Reference Wardle, Herrera and Cooke14), but, as far as I am aware, has only once been demonstrated previously in older people. Essed et al. (Reference Essed, van Staveren and Kok22) reported increases in fruit drink intakes in older people following exposure to fruit drinks over 12 d. Greater effects in low consumers have also been reported previously(Reference Lakkakula, Geaghan and Zanovec9, Reference Lakkakula, Geaghan and Wong10). Strategies that have an impact specifically on low consumers are of particular value. The magnitude of the effect is relatively small – approximately 3/4 portion; but in these consumers, this represents a meaningful increase. The results of this study are furthermore noteworthy for the limited number of exposures required for effects to be found, and the similar findings in intakes of fruit and intakes of fruit and vegetables. This similarity suggests that increases in fruit consumption are not counteracted by comparable decreases in vegetable consumption.

No differences were found, however, dependent on the amount/type of repeated exposure (no differences were found between those who sampled the fruits on five occasions and those who sampled the fruits on five occasions and were provided with a portion of fruit per d). These findings may first suggest that only a limited amount of exposure is required for effects to be achieved, and that additional exposure is unnecessary. Secondly, however, these findings may also suggest a particular role for the social and enjoyable aspects of the fruit-sampling sessions. The social aspect of the interventions here should not be underestimated. Both single and repeated exposure groups experienced some interaction as a result of group membership, but social interaction was higher in the two repeated exposure groups compared to the single consumption group due to the length of time required for the fruit sampling, and was roughly equal in these two groups as fruit provision was for consumption at home. Other work also demonstrates the benefits of social interaction for fruit and vegetable consumption for older people(Reference Dixon, Mullins and Wakefield23, Reference Lancaster24).

The similar findings between the two repeated exposure groups, however, may also have resulted from poor compliance regarding consumption of the provided fruit in the E5+ group. Compliance was not assessed, but anecdotal comments from participants suggested lack of consumption in some cases or redistribution of the provided fruit among partners and friends. The poor consumption of provided fruit suggests that this added component to the fruit sampling intervention may be unnecessary, but other interventions using fruit provision have resulted in significant increases in intakes(Reference Sandison and MacDonald25, Reference McCall, McGartland and McKinley26). Compliance may have been increased if participants had selected the fruit with which they were provided, or had been provided with different fruits each week. Interventions that have also provided recipes, cooking classes, or suggested ways to include additional portions of fruit and vegetables in the diet have also reported good compliance(Reference Cox, Anderson and Reynolds5, Reference Sandison and MacDonald25, Reference Dye and Cason27).

The E5+ group may also simply have been too small to detect effects, particularly when comparing groups of low consumers. A repetition or extension of the study with greater numbers would clearly be of value. Greater control in the form of a randomised, controlled trial may also increase the conclusions that can be drawn from the study, such as the number of exposures required for the effects to be achieved, or the likely impact of the social aspects.

The absence of effects on liking is surprising. Liking for fruit and vegetables has previously been associated with consumption(Reference Schatzer, Rust and Elmadfa4, Reference Sandison and MacDonald25, Reference Appleton, McGill and Neville28), and changes in liking following repeated exposure in children and young people are often found(Reference Wardle, Cooke and Gibson13, Reference Wardle, Herrera and Cooke14). However, changes in liking in response to repeated exposure were also not found in older people in the study by Essed et al. (Reference Essed, van Staveren and Kok22). As suggested by Essed et al. (Reference Essed, van Staveren and Kok22), the lack of changes in liking may demonstrate a resistance to changes in liking in response to the repeated presentation of the same foods in older people. This lack of effect may be related to poorer perceptions of taste and smell, or poorer taste and smell discrimination in older people(Reference Essed, van Staveren and Kok22, Reference Rolls and McDermott29, Reference Hetherington30). The older people in this study, however, were clearly able to distinguish between fruit items, by demonstrating higher liking for the familiar compared to the unfamiliar fruit items used. Higher liking for familiar foods items is well reported(Reference Pliner31), and does suggest the possibility that unfamiliar food items may become more liked as they become more familiar, but that five exposures were not sufficient for this effect to occur. Detection of the associated benefits of a food may also be necessary for liking to change(Reference Rozin32, Reference Rozin and Zellner33), and this again may not have been sufficient after only five tastings. The absence of effects in liking also suggests that increases in intake do not necessarily result from changes in liking, but may be mediated more by variables such as familiarity or experience(Reference Wardle, Cooke and Gibson13, Reference Wardle, Herrera and Cooke14). These variables, however, were not measured here.

The interventions were also well tolerated by participants and easily implemented. Group leaders commented on the ease with which the interventions could be run, their low cost and their ability to provide enjoyable activities for group members. Participants also reported enjoying the tasting sessions, and the absence of decreases in liking due to monotony or boredom(Reference Essed, van Staveren and Kok22) suggests that the interventions were well tolerated, and may be tolerated for longer than 5 weeks. Studies often use more exposures than those used here(Reference Lakkakula, Geaghan and Zanovec9, Reference Wardle, Herrera and Cooke14, Reference Essed, van Staveren and Kok22), and a longer exposure period may result in greater effects. The interventions could also potentially be improved by the use of different fruits or a choice of fruits. The interventions were conducted using the same eight fruit items each week, but similar interventions have encouraged participants to try as many fruits of a varying selection as they wished per exposure with success(Reference Davis, Weber Cullen and Watson11, Reference Siem Gribble, Falciglia and Davis12). Other similar studies have also combined exposure with additional strategies such as rewards, self-monitoring and education(Reference Siem Gribble, Falciglia and Davis12, Reference Wardle, Herrera and Cooke14), again with success. The possibility of achieving greater effects than those achieved here would clearly be of value.

The results of the present study may be slightly compromised by the use of 24 h recall as a measure of intake, but prompts were used as much as possible and notes were allowed to maximise accuracy, and previous studies have reported validity(Reference Bingham, Gill and Welch17, Reference Kristjandottir, Andersen and Haraldsdottir18). The validity of the measure is also unlikely to systematically differ between exposure groups(Reference Bingham16), and reported intakes in all groups were similar to those previously reported in this population(Reference Appleton, McGill and Woodside1). Use of alternative measures, however, to provide measures of regular or habitual intakes, and to provide intakes that are unaffected by social desirability, e.g. biomarkers, would be of value. The results of this study may have been affected by social desirability, but any effects again are unlikely to systematically differ between exposure groups or over time(Reference Herbert, Clemow and Pbert34). The absence of liking measures for E1 at the end of the study also limits the conclusions that can be made about liking, but additional measurement would also have resulted in additional exposure. Measurements of liking may also have been affected by order and/or carry-over effects as the same order was utilised in all fruit sampling sessions(Reference Macfie, Bratchell and Greenhoff35), but systematic differences between groups and over time are again likely to be minimal. The groups of low consumers in this study were also small, and differ significantly at baseline in fruit intakes and fruit and vegetable intakes. The differences at baseline, however, due to their direction are unlikely to have resulted in the major findings.

In conclusion, these analyses demonstrate the potential value of repeated exposure to fruit for older low consumers of fruit. Exposure to fruit via fruit-tasting sessions once a week for 5 weeks was found to significantly improve fruit intakes compared to a single exposure, although additional benefits were not also achieved from fruit provision. The repeated exposure was also easy to implement, of low cost, enjoyable and has the potential to reach far into the community.

Acknowledgements

The present research received no specific grant from any funding agency in the public, commercial or not-for-profit sector. This study was funded by the School of Psychology, Queen's University, Belfast, UK. Grateful thanks are also extended to Stephanie King and Rachael Gordon for help with data collection, and to all older people and community groups who took part. The study was designed, run, analysed and written by K. M. A. There are no conflicts of interest.

References

1Appleton, KM, McGill, R & Woodside, JV (2009) Fruit and vegetables consumption in older people in Northern Ireland: levels and patterns. Br J Nutr 102, 949953.Google Scholar
2Finch, S, Doyle, W, Lowe, C, et al. (1998) National Diet and Nutrition Survey: People Aged 65 years and Over, vol. 1. London: HMSO.Google Scholar
3Riediger, ND & Mogjadasian, MH (2008) Patterns of fruit and vegetables consumption and the influence of sex, age and socio-demographic factors among Canadian elderly. J Am Coll Nutr 27, 306313.Google Scholar
4Schatzer, M, Rust, P & Elmadfa, I (2009) Fruit and vegetable intake in Austrian adults: intake frequency, serving sizes, reasons for and barriers to consumption, and potential for increasing consumption. Public Health Nutr 13, 480487.Google Scholar
5Cox, DN, Anderson, AS, Reynolds, J, et al. (1998) Take five, a nutrition education intervention to increase fruit and vegetable intakes: impact on consumer choice and nutrient intakes. Br J Nutr 80, 123131.Google Scholar
6Greene, GW, Fey-Yensan, N, Padula, C, et al. (2008) Change in fruit and vegetable intake over 24 months in older adults: results of the SENIOR project intervention. Gerontologist 48, 378387.CrossRefGoogle ScholarPubMed
7Hendrix, SJ, Fischer, JG, Reddy, S, et al. (2008) Fruit and vegetable intake and knowledge increased following a community-based intervention in older adults in Georgia senior centers. J Nutr Elder 27, 155178.Google Scholar
8Steptoe, A, Perkins-Porras, L, McKay, C, et al. (2003) Behavioural counselling to increase consumption of fruit and vegetables in low income adults: randomised trial. BMJ 326, 855.CrossRefGoogle ScholarPubMed
9Lakkakula, A, Geaghan, J, Zanovec, M, et al. (2010) Repeated taste exposure increases liking for vegetables by low-income elementary school children. Appetite 55, 226231.Google Scholar
10Lakkakula, A, Geaghan, JP, Wong, W-P, et al. (2011) A cafeteria-based tasting program increased liking of fruits and vegetables by lower, middle and upper elementary school-aged children. Appetite 57, 299302.CrossRefGoogle Scholar
11Davis, EM, Weber Cullen, K, Watson, KB, et al. (2009) (2009) A fresh fruit and vegetable program improves high school students’ consumption of fresh produce. J Am Diet Assoc 109, 12271231.CrossRefGoogle ScholarPubMed
12Siem Gribble, L, Falciglia, G, Davis, AM, et al. (2003) A curriculum based on social learning theory emphasizing fruit exposure and positive parent child-feeding strategies: a pilot study. J Am Diet Assoc 103, 100103.Google Scholar
13Wardle, J, Cooke, LJ, Gibson, EL, et al. (2003) Increasing children's acceptance of vegetables: a randomized trial of parent-led exposure. Appetite 40, 155162.Google Scholar
14Wardle, J, Herrera, M-L, Cooke, L, et al. (2003) Modifying children's food prefrences: the effects of exposure and reward on acceptance of an unfamiliar vegetable. Eur J Clin Nutr 57, 341348.Google Scholar
15Appleton, KM & Woodside, JV (2009) Fruit and Vegetables Consumption in Older People in Northern Ireland: Levels, Patterns, Barriers and Solutions. Project Report: Changing Ageing Partnerships. www.changeingageing.org.uk/research/completedresearch.Google Scholar
16Bingham, SA (1987) The dietary assessment of individuals: methods, accuracy, new techniques and recommendation. Nutr Abs Rev (Series A) 57, 705737.Google Scholar
17Bingham, SA, Gill, C, Welch, A, et al. (1994) Comparison of dietary assessment methods in nutritional epidemiology: weighed records v. 24 h recalls, food-frequency questionnaires and estimated-diet records. Br J Nutr 72, 619643.Google Scholar
18Kristjandottir, AG, Andersen, LF, Haraldsdottir, J, et al. (2006) Validity of a questionnaire to assess fruit and vegetable intake in adults. Eur J Clin Nutr 60, 408415.CrossRefGoogle Scholar
19National Health Services (2011) 5-a-day portion sizes. http://www.nhs.uk/Livewell/5ADAY/Pages/Portionsizes.aspx.Google Scholar
20Yeomans, MR, Spetch, H & Rogers, PJ (1998) Conditioned flavour preference negatively reinforced by caffeine in human volunteers. Psychopharmacology (Berl) 137, 401409.CrossRefGoogle ScholarPubMed
21Yeomans, MR, Jackson, A, Lee, MD, et al. (2000) Acquisition and extinction of flavour preferences conditioned by caffeine in humans. Appetite 35, 131141.Google Scholar
22Essed, NH, van Staveren, WA, Kok, FJ, et al. (2006) The effects of repeated exposure to fruit drinks on intake, pleasantness and boredom in young and elderly adults. Physiol Behav 89, 335341.Google Scholar
23Dixon, H, Mullins, R, Wakefield, M, et al. (2004) Encouraging the consumption of fruit and vegetables by older Australians: an experiential study. J Nutr Educ Behav 36, 245249.Google Scholar
24Lancaster, KJ (2004) Characteristics influencing daily consumption of fruit and vegetables and low-fat dairy products in older adults with hypertension. J Nutr Elder 23, 2133.Google Scholar
25Sandison, R & MacDonald, H (2008) Experiences of older women increasing fruit and vegetable intake. Br J Community Nurs 13, 418422.Google Scholar
26McCall, DO, McGartland, CP, McKinley, MC, et al. (2009) Dietary intake of fruits and vegetables improves microvascular function in hypertensive subjects in a dose-dependent manner. Circulation 119, 21532160.CrossRefGoogle ScholarPubMed
27Dye, CJ & Cason, KL (2005) Perceptions of older, low income women about increasing intake of fruits and vegetables. J Nutr Elder 25, 2141.Google Scholar
28Appleton, KM, McGill, R & Neville, C (2010) Barriers to increasing fruit and vegetable intakes in the older population of Northern Ireland: low levels of liking and low awareness of current recommendations. Public Health Nutr 13, 514521.Google Scholar
29Rolls, BJ & McDermott, TM (1991) Effects of age on sensory-specific-satiety. Am J Clin Nutr 54, 988996.Google Scholar
30Hetherington, MM (1998) Taste and appetite regulation in the elderly. Proc Nutr Soc 57, 625631.Google Scholar
31Pliner, P (1982) The effects of mere exposure on liking for edible substances. Appetite 3, 283290.Google Scholar
32Rozin, P (1990) Acquisition of stable food preferences. Nutr Rev 48, 106113.Google Scholar
33Rozin, P & Zellner, D (1985) The role of Pavlovian conditioning in the acquisition of food likes and dislikes. Ann N Y Acad Sci 283, 189202.Google Scholar
34Herbert, JR, Clemow, L, Pbert, L, et al. (1995) Social desirability bias in dietary self-report may compromise the validity of dietary intake measures. Int J Epidemiol 24, 389397.Google Scholar
35Macfie, HJ, Bratchell, N, Greenhoff, K, et al. (1989) Designs to balance the effect of order of presentation and first-order carry-over effects in hall tests. J Sensory Stud 4, 129148.CrossRefGoogle Scholar
Figure 0

Table 1 Characteristics, intakes and liking for all groups (Mean values and standard deviations)

Figure 1

Table 2 Characteristics, intakes and liking for low consumers (Mean values and standard deviations)