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Fruits and vegetables: measuring intake and encouraging increased consumption

Published online by Cambridge University Press:  16 January 2013

Jayne V. Woodside*
Affiliation:
Centre for Public Health, Queen's University Belfast, Grosvenor Road, Belfast BT12 6BJ, UK
Ian S. Young
Affiliation:
Centre for Public Health, Queen's University Belfast, Grosvenor Road, Belfast BT12 6BJ, UK
Michelle C. McKinley
Affiliation:
Centre for Public Health, Queen's University Belfast, Grosvenor Road, Belfast BT12 6BJ, UK
*
*Corresponding author: Dr Jayne V. Woodside, fax +44 2890 235900, email j.woodside@qub.ac.uk
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Abstract

A high intake of fruit and vegetables (FV) is associated with reduced risk of chronic disease, although the evidence base is mostly observational. Blood biomarkers offer an objective indicator of FV intake, potentially improving estimates of intakes based on traditional methods. A valid biomarker of overall FV intake would be able to confirm population intakes, more precisely evaluate the association between intakes and health outcomes and confirm compliance in FV interventions. Several substances have been proposed as biomarkers of FV intake: vitamin C, the carotenoids and polyphenols. Certain biomarkers are strong predictors of single FV; however, the proposed single biomarkers of FV consumption are only modestly predictive of overall FV consumption. This is likely to be due to the complexity of the FV food group. While accurately measuring FV intake is important in nutrition research, another critical question is: how best can an increase in FV intake be achieved? Increased FV intake has been achieved in efficacy studies using intensive dietary advice. Alternative, less intensive methods for encouraging FV consumption need to be developed and tested for population level intervention. Systematic reviews suggest peer support to be an effective strategy to promote dietary change. This review will describe the evidence for a link between increased FV intake and good health, outline possible novel biomarkers of FV consumption, present the most recently available data on population intake of FV and examine the usefulness of different approaches to encourage increased consumption of FV.

Type
Conference on ‘Translating nutrition: integrating research, practice and policy’
Copyright
Copyright © The Authors 2013

Abbreviations:
EPIC

European Prospective Investigation into Cancer and Nutrition

FV

fruits and vegetables

Fruit and vegetables and disease risk

Diets rich in fruit and vegetables (FV) are associated with a reduced risk of chronic disease( Reference Boeing, Bechthold and Bub 1 ), and therefore increased consumption of FV is recommended as part of a healthy diet( 2 , 3 ). In this review, the evidence supporting the association of FV with chronic disease risk will be discussed alongside approaches to measure FV intake and strategies to encourage increased FV consumption at the population level.

Fruit and vegetables and CVD risk

Meta-analyses of observational studies have consistently shown an association between increased FV intake and reduced risk of CHD( Reference He, Nowson and Lucas 4 , Reference Dauchet, Amouyel and Hercberg 5 ) and stroke( Reference He, Nowson and MacGregor 6 , Reference Dauchet, Amouyel and Dallongeville 7 ), with some evidence of a dose–response effect( Reference He, Nowson and Lucas 4 , Reference He, Nowson and MacGregor 6 ), although there was considerable between-study heterogeneity( Reference Dauchet, Amouyel and Dallongeville 8 ). Individual prospective cohort studies published since these meta-analyses have tended to confirm this association( Reference Nakamura, Nagata and Oba 9 Reference Oude Griep and Geleijnse 15 ), although these studies are heterogeneous in terms of dietary assessment and statistical analysis methodology. There has been some inconsistency regarding the questions of whether it is total FV intake that is associated with reduced CVD risk, or fruit alone, vegetables alone, or specific classes of FV( Reference Bendinelli, Masala and Saieva 13 ) and whether the association is demonstrated in both sexes( Reference Nakamura, Nagata and Oba 9 ) or is stronger in a particular subset of the population studied, e.g. smokers( Reference Dauchet, Montaye and Ruidavets 14 ).

The European Prospective Investigation into Cancer and Nutrition (EPIC)-Heart study investigators published the largest prospective analysis of FV intake and CVD risk to date( Reference Crowe, Roddam and Key 16 ). A total of 313 074 men and women without a previous history of myocardial infarction or stroke from eight European countries were followed for an average of 8·4 years. Participants consuming at least eight portions of FV daily had a 22% lower risk of fatal IHD than those consuming less than three portions per d (relative risk 0·78, 95% CI 0·56, 0·95). The authors were able to calibrate the FV intake estimates to account for the different dietary assessment techniques used in participating centres and, after this adjustment, also found that a one portion increment in FV was associated with a 4% lower risk of fatal IHD (95% CI 0·92, 1·00; P = 0·033 for trend). Such an observation is in agreement with the previous meta-analysis that demonstrated a similar estimate of difference in risk per portion of daily FV intake increase( Reference Dauchet, Amouyel and Hercberg 5 ).

Fruit and vegetables and cancer risk

The World Cancer Research Fund report( 17 ) rated the evidence that increased FV intake was associated with reduced cancer risk as being either ‘probable’ or ‘limited-suggestive’, depending on the cancer site.

Several further analyses of prospective epidemiological studies have been published since the World Cancer Research Fund report, including an analysis of the EPIC cohort by Boffetta et al.( Reference Boffetta, Couto and Wichmann 18 ), which included almost 400 000 individuals, who developed approximately 30 000 cancers at all sites over nearly 9 years of follow-up. Only a weak, although statistically significant, inverse association was seen, with a 4% reduction in risk of cancer for every 200 g increase in FV (hazard ratio 0·96; 95% CI 0·94, 0·98). Such a weak association makes it difficult to exclude the possibility that the association has occurred because of residual confounding, although the authors and an accompanying editorial( Reference Willett 19 ) note that there is still the possibility that one type of FV, or a group of FV, or a specific compound within a certain FV could be associated with reduced risk or that FV, in general, could be protective at certain cancer sites.

A more recent review carried out by Key( Reference Key 20 ) summarised the evidence for a potential link between various main cancer sites, including stomach, colorectal, oesophageal, oral cavity and pharynx, lung, breast, prostate and FV intake, while the overall cancer risk was also examined. Including the EPIC analysis described earlier, Key also concludes that the evidence is relatively weak, but suggests that those eating very low amounts of FV may still benefit from increasing intake, while, as earlier, Key also suggests that particular FV or certain nutrients/compounds could still have beneficial effects.

Fruit and vegetables and diabetes

A recent systematic review and meta-analysis was carried out by Carter et al.( Reference Carter, Gray and Troughton 21 ), examining the relationship between FV intake and type 2 diabetes incidence. Summary estimates illustrated that comparing the highest intake of green leafy vegetables (1·35 portions per d) with the lowest intake (0·2 portions per d) was associated with a statistically significant 14% reduction in the risk of type 2 diabetes (hazard ratio 0·86; 95% CI 0·77, 0·97; P = 0·01). No significant associations were found between fruit only (hazard ratio 0·93; 95% CI 0·83, 1·01), vegetables only (hazard ratio 0·91; 95% CI 0·76, 1·09) or FV combined (hazard ratio 1·00; 95% CI 0·92, 1·09) and incidence of diabetes.

Cooper et al.( Reference Cooper, Forouhi and Ye 22 ) have published a similar meta-analysis to Carter et al.( Reference Carter, Gray and Troughton 21 ) but included their own data from a large case–cohort study, the EPIC-InterAct study. They found similar associations as Carter( Reference Carter, Gray and Troughton 21 ), in relation to green leafy vegetables (relative risk 0·84; 95% CI 0·74, 0·94), and also observed a weak association between total FV intake and diabetes risk when comparing the lowest and highest quartiles of FV intake (relative risk 0·93; 95% CI 0·87, 1·00). Furthermore, the EPIC-InterAct data indicated an inverse association between root vegetables and diabetes risk (relative risk 0·87; 95% CI 0·77, 0·99); however, this was not evident in two other studies that examined this vegetable subgroup( Reference Liu, Serdula and Janket 23 , Reference Villegas, Shu and Gao 24 ).

Therefore, the results of both meta-analyses suggest that an increased consumption of green leafy vegetables may reduce the incidence of diabetes, with no association or weak associations demonstrated for total FV intake; however, the former observation regarding green leafy vegetables is, at present, based on a limited number of studies. Other FV groups, such as root vegetables, may also play a role, but this requires further study. FV consumption separately showed no association with the risk of diabetes.

Fruit and vegetables and cognitive decline/risk of Alzheimer's disease

As the populations of developed countries age, maintaining cognitive function will be of increasing importance so that the ageing population maintain independent living for as long as possible. Regular consumption of FV has for long been considered to be associated with a reduced risk of cognitive decline and Alzheimer's disease, but the evidence has only recently been systematically reviewed. Loef and Walach( Reference Loef and Walach 25 ) found that nine prospective studies with a follow-up period longer than 6 months, incorporating just over 44 000 participants, examined FV intake and either cognitive decline or Alzheimer's disease endpoints. Out of the six studies examining FV separately, five found that a higher consumption of vegetables, but not fruit, was associated with reduced risk of dementia or cognitive decline. A similar association was found for the three further studies that examined FV intake combined.

Fruit and vegetable intervention studies

Studies examining health benefits of FV have mostly been observational to date, and therefore only associations, rather than cause and effect, can be demonstrated. Lifestyle behaviours tend to cluster, meaning that a higher intake of FV is also associated with a better overall diet, with increased levels of physical activity, with not smoking and with being of a higher social class. Statistical analysis can attempt to control for all of these other lifestyle behaviours, yet it is likely that this is not completely successful, and therefore that residual confounding will account for at least part of the demonstrated associations in prospective cohort studies.

FV intervention studies conducted to date, which allow the demonstration of cause and effect, have been limited mostly to studies examining cardiovascular risk factors, although many studies with hard clinical endpoints, where increased FV intake has been combined with other dietary and lifestyle changes, have also been conducted( Reference Burr 26 Reference Howard, Van Horn and Hsia 31 ). For example, the Dietary Approaches to Stop Hypertension study demonstrated a beneficial effect of increased FV intake on blood pressure over 8 weeks, with systolic and diastolic blood pressure decreasing by 2·8 and 1·1 mmHg, respectively( Reference Appel, Moore and Obarzanek 32 ). Participants with hypertension had greater reductions in blood pressure than those without hypertension. A similar blood pressure lowering effect was demonstrated by John et al.( Reference John, Ziebland and Yudkin 33 ) in a study of brief negotiation to encourage FV intake in the primary care setting, while a beneficial effect of increased FV consumption on microvascular function has recently been demonstrated( Reference McCall, McGartland and McKinley 34 ). Evidence for the effects of increased FV intake on other cardiovascular risk factors, including hypercholesterolaemia and obesity, is limited at present, and further appropriately designed studies are required to confirm or refute the few studies that have been performed( Reference Broekmans, Klopping-Ketelaars and Kluft 35 Reference Zino, Skeaff and Williams 39 ). A beneficial effect of increased FV intake on inflammatory markers has been demonstrated in some( Reference Watzl, Kulling and Moseneder 40 ), but not all( Reference McCall, McGartland and McKinley 34 ) studies. In terms of intervention studies with endpoints related to other disease states, no effect of increased FV consumption has been demonstrated on oxidative stress and inflammation in chronic obstructive pulmonary disease( Reference Baldrick, Elborn and Woodside 41 ), while an effect of increased FV intake on response to vaccination in older people has recently been shown( Reference Gibson, Edgar and Neville 42 ).

If fruit and vegetables have beneficial effects, what is causing those beneficial effects?

If it is assumed that FV are beneficial to health and that accumulating evidence from intervention studies demonstrate this and confirm the already-existing data from observational epidemiological studies, then it will be of scientific interest to know whether or how specific components of FV influence these health-promoting effects and also to investigate ways in which FV might indirectly benefit health, for example, by displacing less desirable food components from the diet and thus improving the overall dietary profile. Research has tended to focus on the health benefits of the micronutrients and polyphenols present in FV; however, FV also have a high water content, low energy content (and therefore low energy density) and high fibre content; it is likely, therefore, that increasing FV intake results in a number of changes to the overall diet profile. In a systematic review and meta-analysis of FV intervention studies, we have recently assessed whether increasing FV consumption has an impact on diet profile. In the systematic review, all twelve studies demonstrated increases in micronutrient intakes, while a meta-analysis showed no significant difference between the intervention and control groups in energy (kJ) in seven studies (mean difference = 4·184 kJ (1 kcal; 95% CI −115, 117); P = 0·98), significant decreases in total fat (% energy) in five studies (mean difference = −4%; 95% CI −5, −3; P < 0·00001) and significant increases in fibre in six studies (mean difference 5·36 g; 95% CI 4, 7; P < 0·00001) and total carbohydrate (% energy) in four studies (mean 4%; 95% CI 2, 5; P < 0·00001). Results indicate that increased FV consumption increases micronutrient, carbohydrate and fibre intakes, and possibly reduces fat intake, with no overall effect on energy intake. Therefore, health benefits of FV are likely to act through an improvement in overall diet profile alongside direct effects of increased intakes of micronutrients and other phytochemicals( Reference Fulton, McKinley and Young 43 ).

Fruit and vegetables quantityv. variety

The focus to date has been on the quantity of FV consumed, with most countries setting a five portions per d target( 3 ). However, attention in the research setting and within dietary guidelines has focused more recently on the concept of food synergy and dietary variety( Reference Jacobs, Gross and Tapsell 44 ), with both American and UK dietary guidelines advocating FV variety( 2 , Reference Lichtenstein, Appel and Brands 45 , 46 ). In fact, little is known about how a focus on variety rather than quantity is associated with FV health benefits. Bhupathiraju and Tucker( Reference Bhupathiraju and Tucker 47 ) showed that increased FV variety, but not quantity, was associated with reduced C-reactive protein concentrations in fully adjusted models in a cross-sectional study of about 1200 Puerto Rican adults. Oude Griep et al.( Reference Oude Griep, Verschuren and Kromhout 48 ) found quantity and variety to be highly correlated (r 0·81), and reported that greater variety was associated with higher intakes of micronutrients, particularly vitamin C, but did not demonstrate an association of fruit or vegetable variety with CHD or stroke in a prospective study of 20 000 men and women in the Netherlands. In the only study to examine variety of FV intake and diabetes risk, the EPIC-Norfolk investigators showed an association between increased vegetable, but not fruit, intake and type 2 diabetes risk, but, in terms of variety, greater variety of fruit, vegetables and combined FV was significantly associated with reduced risk of type 2 diabetes( Reference Cooper, Sharp and Lentjes 49 ). In a similar analysis of the full EPIC cohort, variety was associated with risk of oesophageal squamous cell carcinoma, but not gastric or oesophageal adenocarcinoma( Reference Jeurnink, Büchner and Bueno-de-Mesquita 50 ). These limited studies do not allow firm conclusions to be drawn. Further studies are required to demonstrate whether an increased emphasis on FV variety is likely to enhance disease prevention efforts.

Methods of classifying fruit and vegetables: colour and the preparation method

While most studies have examined total FV intake in portions per d, FV can be further classified in a number of ways( Reference Pennington and Fisher 51 ), and more recent studies have attempted to classify FV, either by colour or by whether FV was consumed in the raw or processed state. Oude Griep et al.( Reference Oude Griep, Verschuren and Kromhout 52 ) showed an association between white FV (mostly apples and pears) and stroke risk, and an association between deep orange FV (mostly carrots) and risk of CHD( Reference Oude Griep, Verschuren and Kromhout 53 ). For every 25 g increase in white FV, stroke risk was reduced by 9% (hazard ratio 0·91; 95% CI 0·85, 0·97)( Reference Oude Griep, Verschuren and Kromhout 52 ), while for every 25 g increase in deep orange FV, CHD risk was reduced by 26% (95% CI 0·55, 1·00), although a borderline significant result was also demonstrated for total FV intake (hazard ratio 0·98, 95% CI 0·97, 1·01)( Reference Oude Griep, Verschuren and Kromhout 53 ). The same investigators also examined their data by dividing FV into whether it was consumed raw or had been processed in some way, including cooking( Reference Oude Griep, Verschuren and Kromhout 54 , Reference Oude Griep, Geleijnse and Kromhout 55 ). Processed FV were not related to stroke incidence, but total stroke incidence tended to be 30% lower for participants with a high intake of raw FV (upper v. lowest quartile; hazard ratio 0·70; 95% CI 0·47, 1·03; P = 0·07 for trend)( Reference Oude Griep, Verschuren and Kromhout 54 ). Raw vegetable intake was significantly associated with ischaemic stroke, while raw fruit intake was borderline significantly associated with haemorrhagic stroke( Reference Oude Griep, Verschuren and Kromhout 54 ). In a similar analysis of CHD endpoints, both raw and processed FV intake were significantly associated with reduced CHD risk (highest v. lowest quartile; raw hazard ratio 0·70; 95% CI 0·47, 1·04; processed hazard ratio 0·79; 95% CI 0·54, 1·16)( Reference Oude Griep, Geleijnse and Kromhout 55 ). These studies provide some evidence of a differential association of FV with CVD risk, both by the method of classification of FV, and depending on CVD sub-type.

Measuring fruit and vegetable intake

Methods for measuring FV consumption through traditional dietary assessment methods, such as food diaries, FFQ or 24-h recalls, can be flawed( Reference Kirsh, Peters and Mayne 56 Reference Tucker, Chen and Vogel 58 ). For example, it is well recognised that self-reported intake can often be inaccurate( Reference Horner, Patterson and Neuhouser 59 ) due, for example, to reliance on a participant's memory, the inability of some methods to account for day-to-day variation in intake, or the fact that respondents tend to change their usual eating patterns in order to simplify record keeping and/or to impress the investigator( Reference Lee and Nieman 60 , Reference Livingstone and Black 61 ). These problems can be further compounded by coding and data entry errors( Reference Lee and Nieman 60 , Reference Deharven, Charrondiere and Slimani 62 ). Different dietary intake methodologies also tend to agree poorly with each other( Reference Michels, Welch and Luben 63 ), and this has also been shown to lead to variation in the demonstrated associations with disease risk( Reference Bingham, Luben and Welch 64 ).

Given the difficulties associated with the dietary intake methodology outlined earlier, more objective indices of FV intake, such as nutritional biomarkers in biological samples, are therefore of interest. Accurate measurement of the concentrations of compounds found in FV in biological samples would allow the confirmation of low intakes of FV in populations, the evaluation of the association between intake and disease risk, and could also be used as biomarkers of compliance in FV intervention studies. Such biomarkers of intake need to be able to discriminate between differences in intakes( Reference Crews, Alink and Anderson 65 , Reference Hunter and Willett 66 ), should be non-invasive or minimally invasive( Reference Crews, Alink and Anderson 65 , Reference Field, Brambilla and Hirsch 67 ), reproducible, easily measured( Reference Stockley 68 ) and highly responsive to the intervention being carried out( Reference Crews, Alink and Anderson 65 ). Plasma, serum and urinary biomarkers have been explored as potentially useful indicators of FV intake. For instance, FV are the primary source of carotenoids in the diet and, as carotenoids cannot be synthesised by human subjects, they are considered to be good candidate biomarkers of intake( Reference Jansen, van Kappel and Ocke 69 ). Six carotenoids (α-carotene, β-carotene, β-cryptoxanthin, zeaxanthin, lycopene and lutein) are found in appreciable amounts in human serum( Reference Crews, Alink and Anderson 65 , Reference Al-Delaimy, Ferrari and Slimani 70 ). Other candidate biomarkers of FV intake include antioxidant vitamins such as vitamin C( Reference Dehghan, Akhtar-Danesh and McMillan 71 , Reference Padayatty and Levine 72 ) and flavonoids( Reference Mennen, Sapinho and Ito 73 , Reference Mennen, Sapinho and Ito 74 ), including quercetin( Reference McAnlis, McEneny and Pearce 75 ). Some of these compounds have been reliably associated with a particular fruit or vegetable, or a class of FV in observational studies, but less successfully with total FV consumption( Reference Jansen, van Kappel and Ocke 69 , Reference Jansen, van Kappel and Ocke 70 , Reference Jansen, van Kappel and Ocke 72 , Reference Jansen, van Kappel and Ocke 76 Reference Campbell, Gross and Martini 80 ). This is almost certainly due to the complexity of FV and the large number of bioactive compounds present, but also potentially because of other dietary sources of these compounds.

We have recently conducted a systematic review to examine the usefulness of the main biomarkers of FV intake to act as objective indicators of compliance in dietary intervention studies( Reference Baldrick, Woodside and Elborn 81 ). A comprehensive search of the literature was conducted using six databases, and suitable papers were selected and relevant data extracted (n 96). The papers were categorised into three sub-groups: whole diet interventions; mixed FV interventions; and studies involving individual fruits or vegetables. Overall, the most commonly measured, and most consistently responsive, biomarkers were the carotenoids and vitamin C. Single biomarkers were good predictors of single classes of FV, e.g. quercetin was a good biomarker of onion consumption, and lycopene was a good biomarker of tomato consumption. However, single biomarkers cannot accurately and reliably predict total FV consumption. It therefore remains prudent to measure a panel of biomarkers in FV trials (notably α- and β-carotene, lutein, zeaxanthin, β-cryptoxanthin, lycopene and vitamin C).

It is likely that further research will develop some more novel biomarker approaches to assess FV intake. The association between dietary intake and biomarker status may depend on certain population characteristics, for example BMI( Reference Vioque, Weinbrenner and Asensio 82 ). It must also be remembered that biomarkers will never solely reflect dietary intake of FV, as status will also reflect a number of physiological processes, providing a measure of nutrient availability at the tissue level, and therefore there may always be a role for the more traditional dietary assessment methodologies, perhaps in partnership with biomarker assessment( Reference Pollard, Wild and White 83 ). Recently, for carotenoids and potentially a broader range of markers, combining biomarkers and self-reported measures using regression calibration equations has been suggested to allow more powerful tests of association with disease risk( Reference Freedman, Midthune and Carroll 84 , Reference Freedman, Kipnis and Schatzkin 85 ). Urinary pH has been suggested as an indicator of FV intake( Reference Welch, Mulligan and Bingham 86 ), while urinary K can act as a biomarker, both of FV intake( Reference Berry, Mulla and Chowienczyk 87 ) and diet quality in general( Reference Mente, Irvine and Honey 88 ). The use of Resonance Raman Spectroscopy has also been suggested as a feasible method to measure dermal carotenoids( Reference Mayne, Cartmel and Scarmo 89 ).

A number of studies have suggested that summing individual flavonoids (sum of quercetin, kaempferol, isorhamnetin, tamarixetin, naringenin, hesperetin and phloretin) excreted in 24 h urine samples correlates better with FV intake than individual flavonoid excretion( Reference Nielsen, Freese and Kleemola 90 , Reference Krogholm, Haraldsdóttir and Knuthsen 91 ). Mennen et al.( Reference Mennen, Sapinho and Ito 73 ) found that the same sum correlated with fruit and fruit juice intake, but not total FV intake, but these authors suggested that adding more polyphenols from fruits to the panel might have further improved the accuracy of such a biomarker to take into account the diversity of the fruit sources. It may therefore be possible to combine one or more potential biomarkers of FV intake (including vitamin C and carotenoids) and better predict intake with a combined biomarker approach rather than using single markers or a panel of single markers.

Such a combined biomarker approach outlined earlier automatically leads to the consideration of a much broader range of biomarkers to monitor FV intake, for example, using a metabolite fingerprinting approach. Although there are considerable methodological challenges( Reference Favé, Beckmann and Lloyd 92 ), a number of studies have suggested possible biomarkers of individual FV or classes of FV: prolaine betaine for citrus fruit( Reference Lloyd, Beckmann and Favé 93 , Reference Heinzmann, Brown and Chan 94 ), novel ascorbate derivatives for broccoli or raspberries( Reference Lloyd, Favé and Beckmann 95 ), sulfonated caffeic acid and sulfonated methyl-epicatechins after raspberry consumption( Reference Lloyd, Favé and Beckmann 95 ) and phenyl-acetylglutamine for vegetable intakes( Reference O'Sullivan, Gibney and Brennan 96 ).

Do we need to increase fruit and vegetable consumption? Current population intakes

Before considering how to most effectively increase FV consumption in the general population, it must first be demonstrated that such an increase is necessary. In the National Diet and Nutrition Survey in adults aged 19–64 years in 2004, the mean daily FV intake was 2·7 portions per d for men and 2·9 portions per d for women( 97 ). In the new National Diet and Nutrition Survey adult survey for years 1, 2 and 3 combined (2008–9 to 2010–11), adults (19–64 years) consumed on average 4·1 portions per d and older adults (>65 years) consumed 4·4 portions per d( 98 ). A total of 31% of adults and 37% of older adults met the ‘5-a-day’ recommendation( 98 ). The methodologies differed between these two surveys (moving from a 7 d weighed food diary in 2004 to a 4 d estimated diary and with composite foods now being disaggregated), and therefore direct comparisons between the surveys and conclusions about changes over time are not possible, but it can be concluded with some certainty that the majority of the adult population is still not meeting the 5-a-day recommendation. Similar data exist from Northern Ireland (which was not included in the original National Diet and Nutrition Survey, but is now part of the rolling programme), where in a representative sample of 426 adults >65 years old, the mean intake, measured using a telephone-based recall method, was about four portions per d( Reference Appleton, McGill and Woodside 99 ).

The new National Diet and Nutrition Survey results from the rolling programme are not yet comprehensive enough, with large enough sample sizes, to draw conclusions on the geographical variation in FV intake and how this might impact on disease risk. However, macrosimulation modelling carried out by researchers in Oxford, using data from the Family Food Survey, has suggested that if the average diet in Wales, Scotland and Northern Ireland was improved to that achieved in England, then the mortality gap in these countries could be considerably reduced (reduction in Wales 81% (95% credible interval 62%, 108%); Scotland 40% (33%, 51%); Northern Ireland 81% (67%, 99%)), suggesting considerable variation in diet quality between countries in the UK( Reference Scarborough, Morgan and Webster 100 ). The same research group has used similar modelling techniques to focus on FV intake and concluded that 33 000 deaths per year could be avoided if UK dietary recommendations were met, with more than 15 000 of these avoided deaths being due to increased FV intake( Reference Scarborough, Nnoaham and Clarke 101 ).

Lock et al.( Reference Lock, Pomerleau and Causer 102 ) have similarly attempted to estimate the global burden of disease attributable to low consumption of FV. The associations, stratified by fourteen geographical regions, sex and age, were estimated using information on FV consumption in the population and six health outcomes (IHD, stroke, stomach, oesophageal, colorectal and lung cancer). The analysis suggested that 2·6 million deaths worldwide and 31% of CVD (and between 2 and 19% of cancers) may be attributed to inadequate consumption of FV. About 1·8% of the total burden of disease worldwide was estimated to be attributable to inadequate FV consumption, compared with 1·3% for physical activity, 2·3% for overweight and obesity, 2·8% for high cholesterol and 4·1% for tobacco( Reference Lock, Pomerleau and Causer 102 ).

A more recent study by Hall et al.( Reference Hall, Moore and Harper 103 ) confirmed a low intake of FV worldwide. The authors found that, of 1 96 373 respondents who resided in fifty-two countries of mostly low and middle income, approximately 78% of both males and females consumed less than five portions of FV daily. FV intakes were assessed by responses to survey questions asked as part of the World Health Survey( Reference Hall, Moore and Harper 103 ).

Encouraging increased fruit and vegetable consumption

Evidence available to date indicates that FV are, overall, beneficial to health and that current intakes in Western populations remain low. Public health specialists are, therefore, faced with the challenge of finding methods for encouraging more people to eat more FV and for sustaining this behaviour in the long term. It is generally agreed that interventions to promote increased FV intake should have a theoretical basis( Reference Craig, Dieppe and Macintyre 104 ) and frameworks exist to guide the development of such interventions( Reference Michie, van Stralen and West 105 ). Common behaviour theories and constructs used to effect changes in FV intake have recently been summarised( Reference Thomson and Ravia 106 ).

Two systematic reviews have examined interventions to increase FV intake in adults( Reference Thomson and Ravia 106 , Reference Pomerleau, Lock and Knai 107 ), with a further two carrying out a similar analysis in children (one focused on interventions within primary schools)( Reference Knai, Pomerleau and Lock 108 , Reference Delgado-Noguera, Tort and Martínez-Zapata 109 ).

Pomerleau et al. ( Reference Pomerleau, Lock and Knai 107 ) published their systematic review in 2005. They included a total of forty-four studies (only excluding acutely ill adults), and showed that small increases in FV intake were possible in healthy adults (of the order of 0·1–1·4 servings per d), and that this could be achieved by a variety of approaches. Positive effects were seen consistently in studies which used face-to-face education or counselling strategies, although interventions delivering information by telephone or via computer were also effective. These successful modes of intervention could collectively be described as peer support, which encompasses a variety of methods including face-to-face or group self-management programmes, peer coaching, the use of community health workers, telephone-based peer support and web- and email-based peer support. In addition, community-based multi-component interventions also produced increases in FV intake. In general, studies were able to demonstrate larger increases in those with pre-existing health disorders.

In a more recent review of behavioural interventions to promote intake of FV in both adults and children, Thomson and Ravia( Reference Thomson and Ravia 106 ) only included US-based studies, which resulted in the inclusion of only thirty-four studies. A total of thirty-eight non-US studies were excluded, as were studies that included those with pre-existing disease (n 40). A final condition for inclusion was those studies which specifically reported the theory basis or constructs used when the intervention was designed. Such strict inclusion and exclusion criteria will have resulted in a different profile of studies included compared with the earlier review, but a similar result was demonstrated. An increase in FV intake (+1·13 servings per d) was shown for adults, and +0·39 servings per d for children, and in most studies these increases were statistically significant. However, as the authors note, in most cases these observed increases would not have been big enough to allow the populations included to achieve the recommended intake levels. The studies included in the review employed most commonly the transtheoretical model (with stages of change construct) and social cognitive theory as a basis for the interventions.

The systematic reviews of interventions to promote increased FV intake in adults made a number of recommendations for further research. Pomerleau et al.( Reference Pomerleau, Lock and Knai 107 ) considered that the effectiveness of all new interventions had to be tested, particularly in developing countries, where several new programmes had been developed, but without formal evaluation. Any new intervention shown to be effective in a particular setting would have to be retested in a new setting, as factors particular to the local setting may affect the effectiveness of the intervention. The authors suggested that the reports should provide a better description of the methods used in order to allow exact repetition of the interventions, and the reports should include estimates of variability for the selected outcomes in order to allow power calculations. The specific components of intervention should be examined in more depth and how these individual effects differ in different populations. Pomerleau et al. ( Reference Pomerleau, Lock and Knai 107 ) also considered that there are further gaps in the literature, suggesting a need to better understand factors influencing FV consumption, including economic, social and environmental factors that affect both food availability and the ability of an individual to make healthy choices, and the barriers to making changes towards increased FV intake.

The recent systematic review by Thomson and Ravia( Reference Thomson and Ravia 106 ) was rigorous in terms of selecting only theory-based trials in healthy volunteers, and it applied a number of other exclusions when selecting studies. However, within the studies included, the authors still considered that there are a number of design limitations. Self-reported dietary instruments tended to be used, rather than objective biomarkers; cost, which is a potentially important barrier to increased consumption, was frequently not assessed; and there was a lack of clear linkage between the behaviour theories and constructs and the intervention developed. The authors recommend combining behavioural interventions with social marketing, behavioural economics approaches and technology-based behaviour change models in future studies, and always including both process and outcome evaluation.

Two further systematic reviews have focused on increasing FV intake in children. In 2006, Knai et al.( Reference Knai, Pomerleau and Lock 108 ) were able to find fifteen studies that met their inclusion criteria, and ten of these demonstrated significant effects on intake, from +0·3 to +0·99 servings per d. All but one of the fifteen studies were school-based. Multi-component interventions seemed to be the most effective, and the following seemed to be important factors for a successful intervention: an intervention duration of at least 6 months, the complete involvement of the whole school community, for teacher training and curriculum integration to be included, the interventions to include peer leadership and encouragement and involve canteen staff, and finally, to include parents, both at home and in the school.

A second systematic review focusing on children, but including only primary school interventions, was published in 2011( Reference Delgado-Noguera, Tort and Martínez-Zapata 109 ). Nineteen strong and moderate quality studies were included, with a further eight being excluded as being of low quality. Studies were categorised as being game- or computer-based, multi-component, free or subsidised programme, or other studies, and meta-analyses were then conducted. The ‘other studies’ classification included only two studies that could not be meta-analysed; although both of these produced significant increases in FV intake, the free/subsidised category showed no effect of these types of interventions, while computer-based interventions seemed to be effective (standardised mean difference 0·33; 95% CI 0·16, 0·50). Finally, there were eleven multi-component intervention studies, but only seven of these were randomised controlled trials and could be combined in a meta-analysis. Six of the seven individual studies produced an increased intake of FV, but the combined analysis showed no effect of these interventions on intake (standardised mean difference 0·08; 95% CI −0·00, 0·17), although this combined effect did approach significance (P = 0·06). The authors also made suggestions to improve the design of future studies, including larger samples, longer follow-up and clarification of the method of randomisation, while further studies in developing countries are also required.

Conclusion

In conclusion, the majority of observational studies have shown an association between increased FV intake and a reduced risk of CVD. The evidence, to date, is weaker for cancer than for CVD, and prospective studies indicate that certain sub-groups of FV intake may be associated with reduced risk of diabetes. A high intake of FV may also be associated with a slower rate of cognitive decline and risk of mild cognitive impairment and Alzheimer's disease. The randomised controlled trial evidence elucidating the precise health benefits of increasing FV intake is currently limited but is developing. Alongside the assessment of FV intake, assessment of a panel of blood biomarkers, including vitamin C and the carotenoids can provide a useful and more objective indicator of FV intakes. Despite public health recommendations to increase FV intake, intakes of FV worldwide are lower than recommended levels. Achieving a sustained increase in FV intake is challenging and will require the development and testing of further intervention approaches.

Acknowledgements

The authors declare no conflicts of interest. This research received no specific grant from any funding agency in the public, commercial or not-for-profit sectors. J. V. W. drafted the manuscript. M. C. M. and I. S. Y. critically reviewed the manuscript and suggested appropriate revisions.

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