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Dietary sugars intake and micronutrient adequacy: a systematic review of the evidence

Published online by Cambridge University Press:  01 December 2007

Sigrid A. Gibson
Affiliation:
Sig-Nurture Ltd, 11 Woodway, Guildford, Surrey, GU1 2TF, UK
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Abstract

Guidelines for sugars intake range from a population mean of less than 10 % energy from free sugars, to a maximum for individuals of 25 % energy from added sugars. The aim of the present review was to examine the evidence for micronutrient dilution by sugars and evaluate its nutritional significance. From a web-based search of MEDLINE and hand search of linked papers, forty-eight relevant publications were identified on sugars (total sugars, non-milk extrinsic sugars, or added sugars) or sugar-containing drinks. These included five reports from expert committees, six reviews, thirty-three observational studies and four small-scale interventions. There was inconsistency between studies as to the relationship between sugars intake (however expressed) and micronutrients. The statistical patterns varied between nutrients and population groups. Curvilinear associations were found in some analyses, with lower nutrient intakes at both extremes of sugar intake; however, factors such as dieting and under-reporting may confound the associations observed. Some studies found statistically significant inverse associations but these were weak, with sugars explaining less than 5 % of the variance. Mean intakes of most micronutrients were above the RDA or reference nutrient intake except among very high consumers of sugars. The available evidence does not allow for firm conclusions on an optimal level of added sugars intake for micronutrient adequacy and the trends that exist may have little biological significance except for a few nutrients (for example, Fe). It is established that energy intake is the prime predictor of micronutrient adequacy. A better understanding of valid approaches to energy adjustment, misreporting and the assessment of micronutrient adequacy is crucial to further progress in this area.

Type
Research Article
Copyright
Copyright © The Author 2007

Introduction

The aim of the present review was to collate and critically examine the evidence that dietary sugars compromise micronutrient intakes, to evaluate the nutritional significance and if possible to assess the range of sugars intake associated with micronutrient adequacy.

Methods

Relevant articles published between 1980 and 2006 were identified by searching the MEDLINE database (National Library of Medicine, Bethesda, MD, USA). Search terms included sugar(s) (total sugars, added sugars or non-milk extrinsic sugars (NMES)), sucrose, and soft drinks, sweetened beverages, (with) nutrient intake, micronutrient, nutrient dilution, or empty calorie. This web-based search was supplemented by a hand-search of linked references and recent articles in specialist journals. Studies were included if they examined the association between micronutrient intakes and consumption of sugars or soft drinks, whether they were surveys, reports, reviews or interventions. Simple temporal associations (trends in sugars intake) were not included. Citations and abstracts were imported into a bibliographic database (EndNote, version 8; Thomson ResearchSoft, Carlsbad, CA, USA)1 and papers were obtained from journals, libraries or authors. Articles were classified according to their study design, dietary methodology, definition of sugars, subject age and country of origin. We noted reported associations with micronutrients, their nutritional importance (in comparison with dietary reference values) and the range of sugars intake associated with adequacy.

Results: overview of studies and methods

Forty-seven relevant papers and reports on the association between sugars and micronutrient intakes were identified. Four of the studies were interventions, while thirty-three were observational. There were also five major reports and six reviews.

Studies defined sugars in various ways (total sugars, NMES, added sugars, sucrose or ‘sugar’) and most express sugars intake as a percentage of energy intake. Some adjustment for energy is essential in seeking to quantify the independent impact of nutrients on health outcomes but there are various approaches with different strengths and weaknessesReference Mackerras2. Forshee et al. have criticised the use of percentage energy from sugars as inherently biased because its application presupposes the displacement it seeks to proveReference Forshee and Storey3. This methodological debate is beyond the remit of the present review but the reader should be aware that estimates of the extent of dilution by sugars are a consequence of the methodology used.

The intervention studies are shown in Table 1Reference Heaton, Emmett, Henry, Thornton, Manhire and Hartog4Reference Vasilaras, Astrup and Raben7, and the observational studies in Tables 24Reference Forshee and Storey3, Reference Charlton, Wolmarans and Lombard8Reference Johnson, Frary and Wang39. The major reports4044 are discussed in the ‘Recommendations from expert committees’ section and the reviewsReference Gibney, Sigman-Grant, Stanton and Keast45Reference Rennie and Livingstone50 in the ‘Reviews’ section.

Table 1 Interventions

CHO, carbohydrate; RCT, randomised controlled trial.

Table 2 Observational studies of added sugars

24RCL = 24 h recall; DRI = dietary reference intake; 3Ddiary = 3 d dietary diary; 3WDR = 3 d weighed dietary record; 4Ddiary = 4 d dietary diary; 7dhistory = 7 d food history; 7WDR = 7 d weighed dietary record; NMES = non-milk extrinsic sugars; Q4 = fourth quintile; Q5 = fifth quintile; RNI = reference nutrient intake.

* Ranges correspond to cut-off points used for classifying tertiles or quintiles, or to group means, rather than a precise threshold. Intakes below this are not necessarily inadequate.

Table 3 Observational studies of other definitions of sugars

7Ddiary = 7 d dietary diary; NMES = non-milk extrinsic sugars; DRV = dietary reference value; 4WDR = 4 d weighed dietary record; EAR = estimated average requirement; 7WDR = 7 d weighed dietary record; Q1 = first quintile; Q4 = fourth quintile; Q5 = fifth quintile; RNI = reference nutrient intake; 24RCL = 24 h recall; 14Ddiary = 14 d dietary diary.

* Ranges correspond to cut-off points used for classifying tertiles or quintiles, or to group means, rather than a precise threshold. Intakes below this are not necessarily inadequate.

GibsonReference Gibson22 used three definitions (added, NMES, total sugars).

Table 4 Observational studies of food and drinks containing sugars

24RCL = 24 h recall; 2Ddiary = 2 d dietary diary; N/A = not applicable; 3Ddiary = 3 d dietary diary.

*Ranges correspond to cut-off points used for classifying tertiles or quintiles, or to group means, rather than a precise threshold. Intakes below this are not necessarily inadequate.

Recommendations from expert committees

In the UK, the 1989 Department of Health Committee on Medical Aspects of Food Policy (COMA) report on dietary sugars and human disease40 considered the issue of micronutrient dilution by NMES from the limited studies available at the time. No quantitative recommendations were given, but the report concluded (1) ‘that sugars intake is a weaker predictor of absolute micronutrient intakes than total energy consumption’ and (2) ‘that at any level of energy intake, a higher sugars intake is associated with lower micronutrient intakes’. This observation was clearest at the lowest energy intakes. Since 1990, a number of expert committees worldwide have issued guidance on recommended levels of sugars in the diet, although it is not always clear whether this is related to micronutrient dilution or other rationales. Recently, the WHO/FAO in their report on diet, nutrition and the prevention of chronic diseases reiterated their previous recommendation of less than 10 % energy from ‘free’ sugars, with the assertion that ‘higher intakes of free sugars threaten the nutrient quality of diets’, although no evidence was presented to support this proposed limit41.

The report of the (UK) panel on dietary reference values set a target of 10 % of total energy from NMES but this was on the grounds of caries prevention42. The definition of NMES was intended to comprise sugars that are neither derived from milk nor incorporated within the cellular structure of food; in practice the NMES content represents added sugars, plus sugars in fruit juice and 50 % of the sugars in processed and dried fruit. The UK report commented at the time that data in support of any specific quantified targets for NMES were scanty.

In the USA, non-quantitative guidance on sugars intake was included in Dietary Guidelines for Americans. However, in 2000 the Dietary Guidelines Advisory Committee concluded that it was not possible to make specific recommendations regarding a maximum amount of sugars intake without further examination of typical dietary patterns43. The 2000 Dietary Guidelines Advisory Committee called for better definition of added and total sugars and more research to determine whether there are reasons to distinguish between the two. In 2002, new dietary reference intakes for macronutrients were issued by the Institute of Medicine following an extensive review of the international literature and reanalysis of data from the third National Health and Nutrition Examination Survey (NHANES III). The report44 concluded that added sugars intake should not exceed 25 % of energy, based on reduced intakes of some micronutrients by certain groups (notably teenage girls) above this level, but also noted evidence for suboptimal intakes at very low levels (0–5 % of total energy from added sugars).

Reviews

Six reviews on this topic have been published since 1995Reference Gibney, Sigman-Grant, Stanton and Keast45Reference Rennie and Livingstone50. All drew broadly similar conclusions, finding the evidence for micronutrient dilution to be inconsistent between nutrients and between age and sex groups. Where there was evidence for a negative impact of sugars on micronutrient intake, this was generally weak. The reviews also noted that some trends appeared non-linear, with suboptimal intakes at both very high and very low levels of sugars. They stressed the importance of considering dilution in the context of micronutrient requirements; for the general population with a sufficient energy intake, nutrient adequacy can be achieved across a wide range of dietary sugars. In attempting to quantify the optimal range, Bolton-Smith suggested 5–12 % (extrinsic sugars or NMES) for women and 6–16 % for men, the stricter range for women reflecting their lower energy intakes. For children, Ruxton et al. concluded that heterogeneity between nutrients made this difficult to determine precisely but suggested that the most micronutrient-dense diets were achieved by those consuming average amounts of added sugars (suggested as 14–20 %)Reference Ruxton, Garceau and Cottrell47. The most comprehensive and recent review, by Rennie & Livingstone, found ‘no clear evidence of micronutrient dilution or a threshold for a quantitative amount of added sugar intake’Reference Rennie and Livingstone50. However, they also highlighted methodological issues such as energy adjustment and misreporting that constrain or confound the evidence base. They suggested that future studies should attempt to quantify the magnitude of associations and also evaluate the role of particular foods, or food patterns, that may be leading to inadequate nutrient intakes. In a similar vein, Murphy & Johnson concluded that in giving guidance to consumers, the focus should be on nutrient-dense dietary choices rather than on sugars concentration aloneReference Murphy and Johnson49. The primary data on which these reviews were based will be discussed individually.

Interventions

Only four intervention studies were identified that involved diets high in sugars or, more generally, refined or simple carbohydrates (Table 1). The earliest study by Heaton et al. was a cross-over trial comparing the effects of a diet high or low in refined carbohydrate for 6 weeks each in twenty-eight adults who either had gallstones or diabetesReference Heaton, Emmett, Henry, Thornton, Manhire and Hartog4. Intakes of most vitamins and minerals were significantly lower on the refined carbohydrate regimens (except Ca, which was higher due to fortification of white bread). The diets were ad libitum and no restriction was placed on animal foods, but the subjects on the refined carbohydrate regimen were instructed to eat only white-flour products, to take sugar in drinks and on cereal, to eat confectionery and also limit their intake of fruit and vegetables and potatoes (i.e. displacement was built into the study by avoidance of wholegrain etc). Second, although adequacy was not commented on, nutrient intakes would not appear low, except perhaps for folate. In the study by Cline et al. Reference Cline, Tharion, Tulley, Hotson and Lieberman5 on military recruits undergoing a desert field exercise, the group given carbohydrate drink ad libitum in addition to rations had higher energy intakes but significantly lower intakes of protein, Ca, Mg and Zn, compared with those receiving a non-energy placebo drink. Although intakes of minerals and some B vitamins fell short of the RDA, biochemical data remained within reference ranges in both groups. In contrast with this study, an 8-week parallel-design weight-reduction study among sixty-eight menReference West and de Looy6 found no evidence of micronutrient dilution that could be attributed to sucrose content. However, in this study the two contrasting regimens were both relatively low in sugar (5 v. 10 % sucrose). The fourth study using forty-six overweight participants in the Danish cohort of the CARMEN studyReference Saris, Astrup and Prentice51 investigated the impact of two low-fat diets, one high in ‘simple carbohydrates’, the other high in complex carbohydrates over 6 monthsReference Vasilaras, Astrup and Raben7. The high simple carbohydrates group (26 % energy simple carbohydrates) had lower intakes of Zn and vitamin B12, compared with the complex carbohydrates group or habitual diet group, but this may be clinically unimportant given that intakes were above recommended levels. There were no other diet differences between the groups and the authors concluded that the micronutrient contents of the diets were similar. These interventions therefore appear to suggest a minor impact of high-sugar diets on some nutrients. However, the evidence is far from conclusive with regard to strength of association, causality, or importance for nutritional status.

Epidemiological studies relating to dietary sugars and micronutrient dilution

Most of the evidence in this area has been derived from observational studies, many of which are cross-sectional national or regional studies that are broadly representative of the population. Older studies tended to define sugars as total sugars, but since the late 1990s the majority have differentiated added sugars or NMES. The effect of using different definitions in the same dataset has also been assessedReference Gibson22, Reference Bolton-Smith and Woodward25. There is also inconsistency between studies in the assessment of micronutrient adequacy. This arises partly from different recommendations in various countries but also from different reference criteria (for example, reference nutrient intake, two-thirds of reference nutrient intake, estimated average requirement, lower reference nutrient intake) and different statistical approaches (mean v. prevalence) (Tables 2 and 3).

American studies using national datasets

Large American datasets have provided the basis for many observational studies, in particular the Continuing Survey of Food Intakes by Individuals (CSFII), its predecessor the 1977–8 Nationwide Food Consumption Survey (NCFS) and NHANES III.

In an early study using the 1977–8 NFCS, Lewis et al. Reference Lewis, Park, Dexter and Yetley15 found that high consumers of added sugars (above 75th percentile or 16–25 % energy) took in lower percentages of the RDA for eleven vitamins and minerals than did their counterparts consuming 15 % added sugars or less (moderate consumers). There was considerable variation between nutrients and age groups but the median dilution was 13 (range 1–29) %. Ca intakes among 4–10 year olds were 18 % lower in high v. moderate consumers (95 v. 113 % RDA) and 16 % lower for 11–18 year olds (68 v. 84 % RDA).

Farris et al. investigated nutrient intake in relation to total sugars intake among 10 year olds in the Bogalusa study, and reported inverse trends with amounts of Fe, Zn, niacin, and vitamins B6 and E, but positive trends with Ca and vitamin DReference Farris, Nicklas, Myers and Berenson28. This was consistent with the lower intakes of meat and higher intakes of milk among high consumers. The authors concluded that intakes of most vitamins and minerals were adequate among high sugar consumers (mean 19 % energy from total sugars). However, 24 and 21 % of low consumers (mean 9 % energy from sugars) and 44 and 34 % of high consumers had intakes of Fe and Zn, respectively, that were below two-thirds of the RDA.

Using 24 h recall data on over 14 000 individuals from CSFII 1994–6, BowmanReference Bowman10 divided respondents into three groups based on percentage energy from added sugars (%EAS). These corresponded to < 10 %, 10–18 % and >18 %EAS. High consumers (>18 %EAS; mean 26·7 %EAS) had lowest intakes of all micronutrients, although means still exceeded two-thirds of the RDA. Low consumers ( < 10% added sugars) did not have significantly higher nutrient intakes than average consumers (10–18% added sugars). Data on preschool children from the same survey were recently reported as showing that Ca intake was insufficient in large proportions of children consuming 16 % energy or more from added sugarsReference Kranz, Smiciklas-Wright, Siega-Riz and Mitchell14, intakes of >21 % being problematic. By contrast, using the same database but employing a multiple regression method incorporating components of energy (kJ from sugars v. kJ from other foods), Forshee & Storey concluded that the associations between added sugars and micronutrients varied with age group and ranged from no association to a statistically significant association that was positive or negative. They commented that the effects of added sugars were so small as likely to be of no clinical importanceReference Forshee and Storey12. In a study looking at dietary quality using the healthy eating index (rather than micronutrient intakes) in CSFII data, Britten et al. concluded that the association was complex and depended on energy intake. Most high consumers of added sugars had high energy intakes and their intake of food groups (other than fruit) was not consistently affected. Others compensated for the additional energy from sugars by reducing intake of other foods (fruit, vegetable, milk and grains)Reference Britten, Basiotis, Davis and Anand11.

In the course of gathering evidence for dietary recommendations, the Institute of Medicine report44 examined the median intakes of micronutrients at every 5th percentile of added sugars intake for each age and sex group in NHANES III. Reduced intakes of Ca, vitamin A, Fe and Zn were observed in some groups both at low levels of added sugars ( < 5 %) and at high levels above 25 % of energy. High sugar intakes were more common among adolescents than adults44, although prevalence cannot be estimated very accurately from the 24 h data in this survey52, Reference Kaplan53.

There was evidence of a subtle decline in energy intakes at both extremes of the spectrum ( < 5 %EAS and >30 %EAS)44, similar to the pattern observed with Ca intakes. Forshee & Storey have argued that the association observed between %EAS and intake of micronutrients may be spurious and caused by the relationships between total energy and micronutrientsReference Forshee and Storey3. They have criticised the use of percentage energy from sugars as fundamentally flawed, on the grounds that it does not properly control for energy but presupposes a 1:1 displacement. Using an alternative approach (energy partitioning) they concluded that energy (MJ) from added sugars had little or no association with diet quality (when energy from other sources is kept constant), whereas energy from other sources had a much stronger and more consistent association when energy from sugars is kept constantReference Forshee and Storey3. The approach of Forshee et al. has in turn been criticised as not adequately adjusting for total energyReference Barr and Johnson54. This is a conceptual controversy as much as a statistical one and the two approaches may be irreconcilableReference Forshee and Storey55. Given the discrepancy in results and the implications for policy, this deserves further scrutiny and debate by nutritionists, epidemiologists and biostatisticians.

Studies in Europe and other countries

We examined observational studies from BritainReference Rugg-Gunn, Hackett, Jenkins and Appleton16, Reference Gibson22, Reference Bolton-Smith and Woodward25Reference Gibson27, Reference Naismith, Nelson, Burley and Gatenby29, Reference Gibson30, GermanyReference Alexy, Sichert-Hellert and Kersting17Reference Alexy, Sichert-Hellert and Kersting19, Reference Linseisen, Gedrich, Karg and Wolfram24, SwedenReference Vanhapelto and Seppänen23, NorwayReference Øverby, Lillegaard, Johansson and Andersen20, SpainReference Rodríguez-Artalejo, García, Gorgojo, Garcés, Royo, Martín Moreno, Benavente, Macías and De Oya38, IrelandReference Flynn, Suqrue, Codd and Gibney21, AustraliaReference Baghurst, Baghurst and Record9 and South AfricaReference Charlton, Wolmarans and Lombard8, Reference Charlton, Kolbe-Alexander and Nel13. A few were based on small numbers of individuals, limiting the power to detect associationsReference Flynn, Suqrue, Codd and Gibney21, Reference Naismith, Nelson, Burley and Gatenby29. The results of studies on children and adults are discussed separately below, although findings were broadly similar.

Children

A review by Rugg-Gunn et al., the earliest study of children, set the scene for the debate on ‘empty calories’ and micronutrient dilutionReference Rugg-Gunn, Hackett, Jenkins and Appleton16. This small survey of adolescents aged 11–14 years found mostly low-level and non-significant correlations for most nutrients with added sugars (g/MJ), except for vitamin D (r − 0·25; P < 0·001), where there was a significant difference in intake between the highest (19 % sugars) and lowest decile (10 % sugars) (vitamin D 1·4 v. 2·4 μg/d). Subsequently, GibsonReference Gibson30, from a nationwide sample of 2705 British schoolchildren, reported trends with micronutrient intake that were inconsistent: Ca and riboflavin increased with (total) sugars intake, while Fe fell and vitamins A and C and thiamin were similarReference Gibson30. Among pre-school children in the British National Diet and Nutrition Survey, we also found inverse associations between NMES (as a percentage of energy intake) and most micronutrients, but a positive association with vitamin CReference Gibson26. Lower intakes of meat, milk, fruit and vegetables and higher intakes of fruit juice and drinks largely explained these associations. Mean intakes of Fe, Zn and vitamin D in these young children were low at all levels of NMES; other nutrients were above reference levels. It was concluded that the impact of sugars was small below about 20 % NMES and of most significance for those with intakes >24 % NMES. A Norwegian study among children aged 4, 9 and 13 years found similar inverse associations of added sugars (percentage of energy intake) with most nutrients, except for vitamin C and vitamin E in some groupsReference Øverby, Lillegaard, Johansson and Andersen20 while intakes of fruit and vegetables were 30–40 % lower among high sugar groups (above 18–22 % added sugars), compared with low sugar groups (below 11–13 % sugars). In Germany, a series of papers from the Dortmund Nutritional and Anthropometric Longitudinally Designed (DONALD) study reported weak inverse associations between added sugars in the diet and micronutrient intakesReference Alexy, Sichert-Hellert and Kersting19. The authors proposed that the positive impact of energy intake and fortification was larger than the negative impact of sugarsReference Alexy, Sichert-Hellert and Kersting17. Since nutrient intakes were generally adequate (or in the case of folate, inadequate) regardless of sugars intake, the authors did not consider that a quantitative limit on sugars intake was justified on ground of micronutrient dilution. However, on grounds of dietary quality, they suggested a range of 6–10 % energy from added sugarsReference Alexy, Kersting and Schultze-Pawlitschko18.

Adults

In a study of 2800 Australian men and women, Baghurst et al. Reference Baghurst, Baghurst and Record9 found that many (but not all) nutrients declined slightly with increasing added sugars intake but were generally regarded as adequate even in the top decile (>18 % added sugars). An early Swedish national study by Vanhapelto et al. Reference Vanhapelto and Seppänen23 also found that intakes of minerals and vitamins were generally adequate in both the highest and lowest sugar consumers (deciles). However, Fe intakes among women were universally low, as is well established in many populations.

A number of studies have suggested that some associations with nutrients may be curvilinear, with nutrient intakes optimal at average levels of sugar intake. In a large study of over 11 000 adults in Scotland, diets either very high or low in extrinsic sugars were associated with the lowest intake of antioxidant vitamins, with optimal intakes in the range of 6–16 % for men, and 5–12 % for womenReference Bolton-Smith and Woodward25. Similar findings have been reported using data from British surveys (National Diet and Nutrition Survey series), where there was little evidence of compromised micronutrient intakes up to about 17 % energy from NMES (or about 15 % added sugars) among adultsReference Gibson22, and highest intakes in the range from 8–15 % energy from NMES in older individualsReference Gibson27. It is important to establish whether the low nutrient intakes seen with low-sugar diets are real (for example, an indication of high fat intake and poor diet quality, or low palatability and low energy intake)Reference Emmett, Rogers and Symes56, Reference Kant and Schatzkin57 or artifact (for example, due to unreliable records).

Two studies from South Africa by Charlton et al. Reference Charlton, Wolmarans and Lombard8, Reference Charlton, Kolbe-Alexander and Nel13 constituted the only evidence on micronutrient dilution from less developed countries. In 1998 they found inverse associations between the intake of most micronutrients and percentage energy from added sugars in a free-living elderly populationReference Charlton, Wolmarans and Lombard8. More recently they found evidence of poorer nutrient intakes and status among women, but not men. This was in the context of lower energy intakes (the third tertile were only 86 % of those in the second tertile) and evidence of generally inadequate intakes and a poor nutritional status across all tertiles of added sugars intake. From a regression analysis they found that added sugars (g/d) explained at most 2 % of the variance in intake of different nutrients whereas energy explained between 20 and 64 %Reference Charlton, Kolbe-Alexander and Nel13. Similarly in the National Diet and Nutrition Survey of older individuals, we found that NMES (percentage of energy intake) explained between 2 and 4 % of the variance in intakes of ‘at-risk’ nutrients (Fe, Ca, riboflavin and folate), while energy explained between 20 and 40 %Reference Gibson27. In Forshee's regression analysis of CSFII data, correlations between %EAS and Ca ranged between − 0·09 and − 0·29 (1 to 8 % of the variance explained), whereas correlations between energy and Ca were 0·56 to 0·66 (31–44 % of the variance explained). These comparisons suggest that the independent influence of added sugars on micronutrient intake is relatively weak.

Studies relating to soft drinks and other sweetened beverages

Consumption of sweetened soft drinks is particularly high among American children and adolescents, and several studies have examined the putative displacement of micronutrients by soft drinks. Using 24 h recall data from the 1977–8 Nationwide Food Consumption Survey, Guenther noted weak negative correlations ( − 0·06 to − 0·11) among teenagers between soft drinks and Ca, Mg, vitamin A, riboflavin and vitamin C and also with milk (Table 4)Reference Guenther31. Subsequently, two studies based on the 1994 US CSFII data found high consumption of sweetened soft drinks among children and adolescents to be associated with lower intake of milk and fruit juice and their associated nutrientsReference Harnack, Stang and Story32, Reference Ballew, Kuester and Gillespie33. In the study by Harnack et al. intakes of Ca, riboflavin, vitamin A, folate and vitamin C were inversely associated with soft drink consumption but this was particularly evident among those consuming >26 oz/d (>737 g/d), who had reductions of 20–45 % compared with low or non-consumersReference Harnack, Stang and Story32. Using 24 h recall data from children aged 2–17 years in CSFII 1994–6, Ballew et al. found that (carbonated) soft drinks were negatively associated with vitamin A at all ages, Mg intakes (among 6 year olds and over) and Ca (among under 12 year olds)Reference Ballew, Kuester and Gillespie33. By contrast, in the same survey Storey et al. found that intake of carbonated soft drinks was more modest among adolescent girls (age 14–18 years) and did not appear to be linked to decreased Ca intakeReference Storey, Forshee and Anderson35. Frary et al. found that consumption of pre-sweetened beverages, sweets and baked products had a negative impact on nutrients intake whereas sweetened dairy foods and cereals had a positive impact.Reference Rodríguez-Artalejo, García, Gorgojo, Garcés, Royo, Martín Moreno, Benavente, Macías and De Oya38 Among 645 pre-school children in Iowa, USA, Marshall et al. recently reported that sweetened beverages were significantly inversely associated with mean nutrient adequacy ratios (r − 0·02 to − 0·25), although associations with vitamin A and Cu were positive (r+0·19,+0·21)Reference Marshall, Eichenberger Gilmore, Broffitt, Stumbo and Levy36. (A nutrient adequacy ratio is the ratio of an individual's mean intake relative to their age- or sex-specific RDA.) Another study of only thirty children that reported displacement of milk by sweetened drinksReference Mrdjenovic and Levitsky34 has been criticisedReference Sutherland58, Reference Allport59. Surveys from other countries have not found such strong associations with soft drinks as in the USA, possibly because consumption levels are lower. For example, among Spanish children aged 6–7 years, sweetened soft drinks were inversely associated with milk consumption and Ca intake, but this was partly offset by increased consumption of other dairy products, so that Ca remained above recommended levelsReference Rodríguez-Artalejo, García, Gorgojo, Garcés, Royo, Martín Moreno, Benavente, Macías and De Oya38. In contrast to the American studies, there was a positive (but non-significant) association between soft drinks and fruit juice consumption, suggesting that inverse associations with nutrient-rich foods are not inevitable (Table 4).

Conclusions

The publications reviewed provide some evidence that diets containing a high proportion of added sugars are slightly lower in micronutrients than diets containing a moderate proportion of added sugars. However, results were not necessarily linear or consistent across nutrients, populations and age groups and quantification is hampered by different cut-off criteria in each study. Most of the evidence reviewed comes from cross-sectional observational studies. These provide good evidence of the range of dietary practices in real life but they cannot predict the impact of alterations in added sugars intake. Prospective and intervention studies are required to study these aspects, but these must have sufficient statistical power and use good dietary methodologies.

Studies based on percentage energy from total sugars have tended to show positive associations with vitamin C and sometimes with CaReference Gibson30, due to inclusion of sugars in fruit and milk. Studies defining sugars as NMES (which includes sugars in fruit juice and 50 % of the sugars in processed and dried fruit) have sometimes shown positive associations with vitamin C for the same reason. Associations of percentage energy from added sugars with vitamin C have variously been shown to be negative, positive or neutral. The majority of studies on soft drink consumption indicate that high intakes are negatively associated with some nutrients, especially those found in milk and fruit juice. The form in which sugars are consumed appears an important modifier of the impact of dilution. Soft drinks, sugar and sweets are more likely to have a negative impact on diet quality whereas dairy foods, milk drinks and pre-sweetened cereals may have a positive impactReference Frary, Johnson and Wang37, Reference Gibney, Sigman-Grant, Stanton and Keast45.

Optimal intakes of sugars are difficult to quantify because associations vary between nutrients and depend on food choice and composition. It is established that energy intake is the prime predictor of micronutrient adequacy and a modifier of the associations with sugarsReference Britten, Basiotis, Davis and Anand11, Reference Forshee and Storey55, Reference Emmett, Rogers and Symes56. What is debated is the appropriate adjustment for energyReference Mackerras2. Epidemiologists routinely use percentage energy (sometimes with additional adjustment for energy differences) to quantify the independent association of sugar or fat in diet/heath relationships and virtually all the studies considered in the present review used this method. Overall, the studies suggest micronutrient intakes are optimal at moderate levels of sugars in the diet, provided energy needs are met. Very high intakes of added sugars or NMES in excess of 20 % of energy are associated with lower intakes of several micronutrients. In some studies, very low intakes of all types of sugars (i.e. diets containing < 5 % energy from sugars) are also associated with poor nutrient intakes. More data are required to investigate whether this is associated with dieting, under-reporting, illness, unbalanced diets (for example, very high-fat diets) or other confounding factors. More studies are also needed from developing countries, where energy intakes, dietary variety and fortification may be more limited.

Ultimately the nutritional significance of dilution depends on whether micronutrient intakes are adequate with respect to requirements, or since these are largely unknown, compared with group recommended levels or cut-off points. Micronutrient intakes were commonly described as ‘adequate’ in the studies reviewed but the criteria varied. Comparison of group means with the reference nutrient intake (or two-thirds of the reference nutrient intake or estimated average requirement) is a common criterion against which adequacy is judged but it cannot assess the likely prevalence of inadequacy. The estimated average requirement cut-off point method is now established as the best measure of this60 but estimates can be inflated by under-reporting and use of 24 h dietary data without correction for within-individual variationReference Kaplan53, Reference Mackerras and Rutishauser61. Conversely, use of the lower reference nutrient intake as a cut-off underestimates the true prevalence of inadequacy in populationsReference Hannon, Kiely, Harrington, Robson, Strain and Flynn62. Given the varied criteria, generalisations such as ‘sugars compromise nutrient intakes’ (or conversely ‘micronutrient intakes are adequate irrespective of sugars intake’) are unhelpful in resolving current public health issues. The available evidence does not allow for firm conclusions on an optimal level of added sugars intake on the basis of micronutrient adequacy; indeed, there is some doubt as to whether some of the associations seen between sugars intake and micronutrients reliably reflect meaningful biological relationships. A better understanding of valid approaches to energy adjustment, misreporting and assessment of micronutrient adequacy is therefore crucial to further progress in this area.

Acknowledgements

The World Sugar Research Organisation provided funding towards the present review. The author is an independent consultant in nutrition science, working with a variety of commercial and non-commercial organisations.

References

1Thomson ResearchSoft (2004) EndNote.http://www.endnote.com/.Google Scholar
2Mackerras, D (1996) Energy adjustment: the concepts underlying the debate. J Clin Epidemiol 49, 957962.CrossRefGoogle ScholarPubMed
3Forshee, RA & Storey, ML (2004) Controversy and statistical issues in the use of nutrient densities in assessing diet quality. J Nutr 134, 27332737.CrossRefGoogle ScholarPubMed
4Heaton, KW, Emmett, PM, Henry, CL, Thornton, JR, Manhire, A & Hartog, M (1983) Not just fibre – the nutritional consequences of refined carbohydrate foods. Hum Nutr Clin Nutr 37, 3135.Google ScholarPubMed
5Cline, AD, Tharion, WJ, Tulley, RT, Hotson, N & Lieberman, HR (2000) Influence of a carbohydrate drink on nutritional status, body composition and mood during desert training. Aviat Space Environ Med 71, 3744.Google ScholarPubMed
6West, JA & de Looy, AE (2001) Weight loss in overweight subjects following low-sucrose or sucrose-containing diets. Int J Obes Relat Metab Disord 25, 11221128.CrossRefGoogle ScholarPubMed
7Vasilaras, TH, Astrup, A & Raben, A (2004) Micronutrient intake in overweight subjects is not deficient on an ad libitum fat-reduced, high-simple carbohydrate diet. Eur J Clin Nutr 58, 326336.CrossRefGoogle Scholar
8Charlton, KE, Wolmarans, P & Lombard, CJ (1998) Evidence of nutrient dilution with a high sugar intake in older South Africans. J Hum Nutr Diet 11, 331343.CrossRefGoogle Scholar
9Baghurst, K, Baghurst, P & Record, S (1992) Demographic and nutritional profiles of people consuming varying levels of sugars. Nutr Res 12, 14551465.CrossRefGoogle Scholar
10Bowman, S (1999) Diets of individuals based on energy intakes from added sugars. Fam Econ Nutr Rev 12, 3138.Google Scholar
11Britten, P, Basiotis, PP, Davis, CA & Anand, R (2000) Is intake of added sugars associated with diet quality? In Insight 21 [USDA Center for Nutrition Policy and Promotion, editor]. Washington, DC: USDA.Google Scholar
12Forshee, RA & Storey, ML (2001) The role of added sugars in the diet quality of children and adolescents. J Am Coll Nutr 20, 3243.CrossRefGoogle ScholarPubMed
13Charlton, KE, Kolbe-Alexander, TL & Nel, JH (2005) Micronutrient dilution associated with added sugar intake in elderly black South African women. Eur J Clin Nutr 59, 10301042.CrossRefGoogle ScholarPubMed
14Kranz, S, Smiciklas-Wright, H, Siega-Riz, AM & Mitchell, D (2005) Adverse effect of high added sugar consumption on dietary intake in American preschoolers. J Pediatr 146, 105111.CrossRefGoogle ScholarPubMed
15Lewis, CJ, Park, YK, Dexter, PB & Yetley, EA (1992) Nutrient intakes and body weights of individuals consuming high and moderate levels of added sugars. J Am Diet Assoc 92, 708713.Google Scholar
16Rugg-Gunn, AJ, Hackett, AF, Jenkins, GN & Appleton, DR (1991) Empty calories? Nutrient intake in relation to sugar intake in English adolescents. J Hum Nutr Diet 4, 101111.CrossRefGoogle Scholar
17Alexy, U, Sichert-Hellert, W & Kersting, M (2002) Fortification masks nutrient dilution due to added sugars in the diet of children and adolescents. J Nutr 132, 27852791.CrossRefGoogle ScholarPubMed
18Alexy, U, Kersting, M & Schultze-Pawlitschko, V (2003) Two approaches to derive a proposal for added sugars intake for German children and adolescents. Public Health Nutr 6, 697702.CrossRefGoogle ScholarPubMed
19Alexy, U, Sichert-Hellert, W & Kersting, M (2003) Associations between intake of added sugars and intakes of nutrients and food groups in the diets of German children and adolescents. Br J Nutr 90, 441447.CrossRefGoogle ScholarPubMed
20Øverby, NC, Lillegaard, IT, Johansson, L & Andersen, LF (2004) High intake of added sugar among Norwegian children and adolescents. Public Health Nutr 7, 285293.CrossRefGoogle ScholarPubMed
21Flynn, MA, Suqrue, DD, Codd, MB & Gibney, MJ (1996) Women's dietary fat and sugar intakes: implications for food based guidelines. Eur J Clin Nutr 50, 713719.Google ScholarPubMed
22Gibson, SA (1997) Do diets high in sugars compromise micronutrient intakes? Micronutrient intakes in the Dietary and Nutritional Survey of British Adults according to dietary concentration of ‘added’, ‘non-milk extrinsic’ or ‘total’ sugars. J Hum Nutr Diet 10, 125133.CrossRefGoogle Scholar
23Vanhapelto, AT & Seppänen, OR (1983) Nutrient intakes of persons with low or high consumption of sugar. Näringsforskning 3, 8285.Google Scholar
24Linseisen, J, Gedrich, K, Karg, G & Wolfram, G (1998) Sucrose intake in Germany. Z Ernahrungswiss 37, 303314.CrossRefGoogle ScholarPubMed
25Bolton-Smith, C & Woodward, M (1995) Antioxidant vitamin adequacy in relation to consumption of sugars. Eur J Clin Nutr 49, 124133.Google ScholarPubMed
26Gibson, SA (1997) Non-milk extrinsic sugars in the diets of pre-school children: association with intakes of micronutrients, energy, fat and NSP. Br J Nutr 78, 367378.CrossRefGoogle ScholarPubMed
27Gibson, S (2001) Dietary sugars and micronutrient dilution in normal adults aged 65 years and over. Public Health Nutr 4, 12351244.CrossRefGoogle ScholarPubMed
28Farris, RP, Nicklas, TA, Myers, L & Berenson, GS (1998) Nutrient intake and food group consumption of 10-year-olds by sugar intake level: the Bogalusa Heart Study. J Am Coll Nutr 17, 579585.CrossRefGoogle ScholarPubMed
29Naismith, D, Nelson, M, Burley, V & Gatenby, S (1995) Does a high-sugar diet promote overweight in children and lead to nutrient deficiencies? J Hum Nutr Diet 8, 249254.CrossRefGoogle Scholar
30Gibson, S (1993) Consumption and sources of sugars in the diets of British schoolchildren: are high-sugar diets nutritionally inferior? J Hum Nutr Diet 6, 355371.CrossRefGoogle Scholar
31Guenther, PM (1986) Beverages in the diets of American teenagers. J Am Diet Assoc 86, 493499.Google ScholarPubMed
32Harnack, L, Stang, J & Story, M (1999) Soft drink consumption among US children and adolescents: nutritional consequences. J Am Diet Assoc 99, 436441.CrossRefGoogle ScholarPubMed
33Ballew, C, Kuester, S & Gillespie, C (2000) Beverage choices affect adequacy of children's nutrient intakes. Arch Pediatr Adolesc Med 154, 11481152.CrossRefGoogle ScholarPubMed
34Mrdjenovic, G & Levitsky, D (2003) Nutritional and energetic consequences of sweetened drink consumption in 6- to 13-year-old children. J Pediatr 142, 604610.CrossRefGoogle ScholarPubMed
35Storey, ML, Forshee, RA & Anderson, PA (2004) Associations of adequate intake of calcium with diet, beverage consumption, and demographic characteristics among children and adolescents. J Am Coll Nutr 23, 1833.CrossRefGoogle ScholarPubMed
36Marshall, TA, Eichenberger Gilmore, JM, Broffitt, MS, Stumbo, PJ & Levy, SM (2005) Diet quality in young children is influenced by beverage consumption. J Am Coll Nutr 24, 6575.CrossRefGoogle ScholarPubMed
37Frary, CD, Johnson, RK & Wang, MQ (2004) Children and adolescents' choices of foods and beverages high in added sugars are associated with intakes of key nutrients and food groups. J Adolesc Health 34, 5663.CrossRefGoogle ScholarPubMed
38Rodríguez-Artalejo, F, García, EL, Gorgojo, L, Garcés, C, Royo, MA, Martín Moreno, JM, Benavente, M, Macías, A & De Oya, M; Investigators of the Four Provinces Study (2003) Consumption of bakery products, sweetened soft drinks and yogurt among children aged 6–7 years: association with nutrient intake and overall diet quality. Br J Nutr 89, 419429.CrossRefGoogle ScholarPubMed
39Johnson, RK, Frary, C & Wang, MQ (2002) The nutritional consequences of flavored-milk consumption by school-aged children and adolescents in the United States. J Am Diet Assoc 102, 853856.CrossRefGoogle ScholarPubMed
40Department of Health Committee on Medical Aspects of Food Policy (1989) Dietary sugars and human disease. In Report of the Panel on Dietary Sugars. London: H.M. Stationery Office.Google Scholar
41World Health Organization and Food and Agriculture Organization (2003) Diet, Nutrition and the Prevention of Chronic Diseases. WHO Techical Report Series no. 916. Geneva: WHO.Google Scholar
42Department of Health (1991) Dietary Reference Values for Food Energy and Nutrients for the United Kingdom. London: H.M. Stationery Office.Google Scholar
43Dietary Guidelines Advisory Committee (2000) Report of the Dietary Guidelines Advisory Committee on the Dietary Guidelines for Americans. Washington, DC: Departments of Health and Human Services and Agriculture.Google Scholar
44Institute of Medicine (2002). Dietary Reference Intakes for Energy, Carbohydrate, Fat, Fibre, Fatty Acids, Cholesterol, Protein and Amino Acids. Washington, DC: Food and Nutrition Board.Google Scholar
45Gibney, M, Sigman-Grant, M, Stanton, JL Jr & Keast, DR (1995) Consumption of sugars. Am J Clin Nutr 62, Suppl. 1, 178S194S.CrossRefGoogle ScholarPubMed
46Bolton-Smith, C (1996) Intake of sugars in relation to fatness and micronutrient adequacy. Int J Obes Relat Metab Disord 20, Suppl. 2, S31S33.Google ScholarPubMed
47Ruxton, CH, Garceau, FJ & Cottrell, RC (1999) Guidelines for sugar consumption in Europe: is a quantitative approach justified? Eur J Clin Nutr 53, 503513.CrossRefGoogle ScholarPubMed
48Ruxton, CH (2003) Dietary guidelines for sugar: the need for evidence. Br J Nutr 90, 245247.CrossRefGoogle ScholarPubMed
49Murphy, SP & Johnson, RK (2003) The scientific basis of recent US guidance on sugars intake. Am J Clin Nutr 78, 827S833S.CrossRefGoogle ScholarPubMed
50Rennie, KL & Livingstone, MB (2007) Associations between dietary added sugar intake and micronutrient intake: a systematic review. Br J Nutr 97, 832841.CrossRefGoogle ScholarPubMed
51Saris, WHM, Astrup, A, Prentice, AM, et al. . (2000) Randomized controlled trial of changes in dietary carbohydrate/fat ratio and simple vs complex carbohydrates on body weight and blood lipids: the CARMEN study. The Carbohydrate Ratio Management in European National diets. Int J Obes Relat Metab Disord 24, 13101318.CrossRefGoogle Scholar
52Institute of Medicine Food and Nutrition Board (2000) Dietary Reference Intakes: Applications in Dietary Assessment. Washington, DC: National Academies Press.Google Scholar
53Kaplan, RJ (2004) Proportion of the US population whose intakes of added sugars exceed the suggested maximum in the dietary reference intakes. Am J Clin Nutr 80, 524525.CrossRefGoogle ScholarPubMed
54Barr, SI & Johnson, RK (2005) Effect of added sugars on dietary quality. J Nutr 135, 13361337.CrossRefGoogle ScholarPubMed
55Forshee, RA & Storey, ML (2005) Reply to Barr and Johnson. J Nutr 135, 1337.CrossRefGoogle Scholar
56Emmett, P, Rogers, I & Symes, C (2000) Food and nutrient intakes of a population sample of 3-year-old children in the South West of England in 1996. Public Health Nutr 5, 55–64.Google Scholar
57Kant, AK & Schatzkin, A (1994) Consumption of energy-dense, nutrient-poor foods by the US population: effect on nutrient profiles. J Am Coll Nutr 13, 285291.CrossRefGoogle ScholarPubMed
58Sutherland, LA (2004) Soft drinks and obesity. J Pediatr 144, 554.CrossRefGoogle ScholarPubMed
59Allport, JH (2004) Soft drinks and obesity. J Pediatr 144, 554557.CrossRefGoogle ScholarPubMed
60Institute of Medicine Food and Nutrition Board (2003) Dietary Reference Intakes: Applications in Dietary Planning. Washington, DC: National Academies Press.Google Scholar
61Mackerras, D & Rutishauser, I (2005) 24 Hour national dietary survey data: how do we interpret them most effectively? Public Health Nutr 8, 657665.CrossRefGoogle ScholarPubMed
62Hannon, EM, Kiely, M, Harrington, KE, Robson, PJ, Strain, JJ & Flynn, A (2001) The North/South Ireland Food Consumption Survey: mineral intakes in 18-64-year-old adults. Public Health Nutr 4, 10811088.CrossRefGoogle ScholarPubMed

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