Compared with white Europeans, South Asians living in the UK have increased risks of CHD, type 2 diabetes and central obesity(Reference Pomerleau, McKeigue and Chaturvedi1–Reference Wild and McKeigue5). Black African-Caribbeans living in the UK have increased risks of type 2 diabetes and general obesity but have lower risks of CHD(Reference Wild, Fischbacher and Brock2, 3, Reference Wild and McKeigue5, Reference Chaturvedi6). Ethnic differences in the nutritional composition of diets could play an important role in these differences in disease risk, which are currently unexplained(Reference Kuppuswamy and Gupta7). Nutrient composition is important in the aetiology of CHD, type 2 diabetes and obesity(8). In particular, excessive consumption of energy-dense foods is associated with increased risks of overweight and obesity(8), while high total and saturated fat intakes increase risks of insulin resistance(Reference Vessby, Unsitupa and Hermansen9), impaired glucose tolerance(Reference Bo, Menato and Lezo10), raised LDL-cholesterol levels and CHD(Reference Hooper, Summerbell and Higgins11). High intakes of sugars may increase serum TAG and reduce HDL-cholesterol(Reference Mann12–Reference Roche14). Low fibre (NSP) intake is associated with higher insulin resistance, raised total and LDL-cholesterol and an increased risk of obesity(Reference Ludwig, Pereira and Kroenke15, Reference Anderson and Hanna16) and stroke(Reference Ascherio, Rimm and Hernan17). Low intakes of micronutrients, including folate(8), vitamin C(Reference Gale, Martyn and Winter18) and vitamin D(Reference Michos and Melamed19), have been associated with increased risks of CVD and type 2 diabetes. The nutritional composition of adult diets differs between ethnic groups in the UK, in ways that could contribute to explaining ethnic differences in disease. In particular, intakes of total and polyunsaturated fat have been reported to be high among South Asians(Reference Miller, Kotecha and Wilkinson20–Reference Vyas, Greenhalgh and Cade22); a recent report has suggested that saturated fat intakes may now also be higher(Reference Anderson, Bush and Lean23). Intakes of fruit and green vegetables may be low in South Asians(Reference Ness, Cappuccio and Atkinson24), though this pattern has not been observed in all studies(3). In contrast, among black African-Caribbeans, intakes of fat (particularly saturated fat) may be low and carbohydrate intake high(3, Reference Miller, Kotecha and Wilkinson20, Reference Vyas, Greenhalgh and Cade22, Reference Sharma, Cade and Riste25).
There is growing evidence that the differences in chronic disease risk between South Asians, black African-Caribbeans and white Europeans may originate early in life. Compared with white Europeans, British South Asian children and adolescents have markedly increased risks of clinical type 2 diabetes(Reference Ehtisham, Hattersley and Dunger26) and have higher fasting insulin levels from about 10 years of age onwards(Reference Whincup, Gilg and Papacosta27, Reference Whincup, Gilg and Owen28). Higher prevalences of overweight and obesity have been reported in South Asian and black African-Caribbeans in childhood and adolescence(3, Reference Wardle, Brodersen and Cole29, Reference Saxena, Ambler and Cole30). However, little is known about the nutritional composition of diets among British children of different ethnic groups. We therefore carried out a detailed assessment of nutritional composition during a recent survey of cardiovascular health in 9- to 10-year-old children of different ethnic origins. We report here on ethnic variations in nutritional composition between South Asians, black African-Caribbeans and white European children, and also present data separately for South Asian children of Indian, Pakistani and Bangladeshi origin, and for black African-Caribbean children of African and Caribbean origin.
Subjects and methods
The Child Heart Health Study in England (CHASE) is examining the cardiovascular health of 5000 9- to 10-year-old children of white European, South Asian and black African-Caribbean origin living in England. The investigation of diet and nutrition was carried out in a sub-study of approximately 2000 children (CHASE-2000) studied between February 2006 and February 2007. Ethical approval was obtained from the relevant Multi-Centre Research Ethics Committee. Participating schools were identified on the basis of the pupil ethnicity, using information obtained from the UK Government Department for Education and Skills. All state primary schools in London, Birmingham and Leicester with between 15 and 50 % pupils of white European origin were identified. Two separate random samples of forty-three and forty-two schools were taken including (a) schools with a high prevalence (20–80 %) of South Asian pupils, stratified by Indian, Pakistani and Bangladeshi origin, and (b) schools with a high prevalence (20–80 %) of African-Caribbean pupils, stratified by African and Caribbean origin. Schools that did not agree to participate (30 %) were replaced by a school with a similar ethnic composition and in the same borough. Invitation letters (translated where necessary) were sent to parents or guardians of pupils in year 5 classes.
A single research field team visited schools in different areas in rotation during school terms in order to carry out survey assessments. Parents completed a questionnaire on their self-defined ethnic origin and that of the child and on occupation and educational attainment. Children provided information on parental and grand-parental place of birth. Ethnicity was defined on the basis of parental self-defined ethnicity for both parents, or (where not available) parentally defined child ethnicity, or (where not available) child-defined geographic origin of parents and grandparents. In the present analyses, ‘white European’ includes children whose ethnic origin was defined as ‘white British’, ‘white Irish’ and ‘white European’ (or a combination of these) and excludes ‘white other’. ‘South Asian’ includes ‘Indian’, ‘Pakistani’, ‘Bangladeshi’ and ‘Sri Lankan’ (or a combination of these). ‘Black African-Caribbean’ includes ‘black African’, ‘black Caribbean’, ‘black British’ and ‘black other’ (or a combination of these). The ‘other’ ethnic group includes all other categories of individual and mixed ethnic origins.
Weight and height were measured by one of three research nurses, weight with an electronic digital scale (Tanita Inc., Tokyo, Japan) and height (measured to the last complete millimetre) with a portable stadiometer (Chasmors Ltd, London, UK); BMI (weight (kg)/height (m2)) was calculated. Food intake was assessed by two research nutritionists (A. S. D. and M. C. M.). The 24 h recall method was chosen because it provides valid information in children in this age group(Reference Gersovitz, Madden and Smiciklas-Wright31–Reference Biro, Hulshof and Ovesen34), is suitable for large-scale survey use(Reference Bingham, Nelson, Margetts and Nelson35), and does not require high levels of literacy. A single, structured 24 h dietary recall interview was carried out, which followed the recommendations of the Nordic Cooperation Group of Dietary Researchers(Reference Cameron and van Staveren36) and included several elements of the United States Department of Agriculture (USDA) multiple-pass method(Reference Conway, Ingwersen and Moshfegh37). All interviews were carried out in English (the language in which all children were being taught) in private, without a carer or teacher present. The interviewer orientated the child on the previous day, enquiring about events and activities in which the child had participated(Reference Frank, Berenson and Schilling32). A list of foods and beverages consumed the previous day was constructed, together with the time and occasion on which each item was consumed. A detailed description was made of the food consumed. Photographs of food items and different portion sizes were used(Reference Nelson, Atkinson and Meyer38) to help the child report the quantity of food consumed. Final probing was carried out for any forgotten items, particularly drinks and snacks. Questions were asked to identify whether this was a ‘usual’ day in terms of dietary intake for the child. The data were then entered and analysed for nutrient composition by experienced dietary coders at the Medical Research Council Human Nutrition Research Centre (MRC-HNR) using the Diet In Nutrients Out (DINO) package, which generates a food code and an associated weight for each item of food and drink recorded. Age-specific portion sizes were determined from the National Diet and Nutrition Survey of Young People(Reference Whincup, Gilg and Papacosta27). Food and nutrient intakes were calculated using the in-house food composition database based on McCance and Widdowson's The Composition of Foods, 6th edition(39). The nutrient contents of foods that were not already in the DINO database were calculated from recipes obtained from various sources including the second supplement to McCance and Widdowson's The Composition of Foods 1985: Immigrant Foods (Reference Tan, Wenlock and Buss40), the MRC-HNR in-house database of food composition tables for the Gambia and authoritative international recipe books(Reference Hobhouse41, Reference DeMers42).
In order to identify potential under- and over-reporters, standard equations were used to estimate BMR which are age and sex specific and based on the measured weight of the child(Reference Schofield43). These were multiplied by lower and upper cut-off physical activity levels (PAL) of 1·1 and 2·2 (assuming an average PAL of 1·55)(Reference Goldberg, Black and Jebb44) to provide estimates of minimum total energy expenditure (to identify probable under-reporters) and maximum energy expenditure (to identify probable over-reporters). These estimates were compared with reported energy intakes, and, if found to be below the estimated minimum expenditure or over the maximum expenditure, children were identified as under-reporters or over-reporters, respectively(Reference Black45). Participants identified as under-reporters or over-reporters were included in the main analysis but were excluded in specific sensitivity analyses (reported in the Results section).
All analyses were carried out using STATA (version 10.1; StataCorp LP, College Station, TX, USA). Distributions of nutrient composition variables were examined for normality and log transformed where necessary. Multilevel linear regression models taking account of the natural clustering within school were used to provide adjusted means and ethnic differences in nutrient composition (using XTMIXED and LINCOM commands). All analyses adjusted for sex, age in quartiles, month, day of the week and interviewer, all as fixed effects.
Overall, 2255 children (mean age 9·9 years, 95 % reference range 9·2, 10·7 years) participated, with an overall response rate of 70 %. Response rates were slightly higher among white Europeans (71 %), South Asians (73 %) and other ethnic groups (70 %) compared with black African-Caribbeans (65 %). Among the 2255 participants, 2209 (98 %) provided information of acceptable quality (1065 boys and 1144 girls; 558 were South Asian, 560 black African-Caribbean, 543 white European, and 548 of other ethnic origin). Recall assessments could not be completed in forty-six children because the child did not cooperate (n 37), had language difficulties (n 5) or because of time constraints (n 4). The prevalence of under-reporting was 21 % (24 % of boys, 19 % of girls) and over-reporting was 6·7 % (4·7 % of boys, 8·7 % of girls). Under-reporting prevalence varied by ethnic group; 27 % of black African-Caribbean children, 21 % of white European children, 15 % of South Asian children and 23 % of children of other ethnicity were under-reporters. As expected, under-reporters were heavier than other children (mean difference 6·7 (95 % CI 5·8, 7·7) kg); this difference did not vary markedly between boys and girls or between children of different ethnic groups.
The nutritional composition of the whole study population is summarised in Table 1. Mean total energy intake was higher in boys, though the proportions of energy derived from fat, carbohydrate and protein were similar in both sexes. Among micronutrients, intakes of vitamin B12 and Fe were higher among boys. Nutrient composition did not vary appreciably with age over the narrow age range studied (data not presented), but varied slightly by interviewer. Nutritional composition varied by month of the year, but there was no consistent seasonal trend (data not presented). Nutritional composition also varied by day of the week; total energy intakes and proportions of energy derived from fat and protein were higher on Sundays than on weekdays while micronutrient intakes tended to be lower (data not presented). Adjustments were made for month, day of the week and interviewer in subsequent analyses.
* Means and standard deviations or IQR are based on the raw data.
† P values for sex difference adjusted for age in quartiles, day of week, month, interviewer and school (random effect).
Nutritional composition of diets among children from different ethnic groups
Data on the nutritional composition of the diets of children of South Asian, black African-Caribbean, white European and other ethnic origin are presented in Table 2, in analyses which take account of differences in age and sex, month of year and day of week, with school fitted as a random effect. Patterns of nutritional composition among the white European group and the ‘other ethnicity’ group were very similar. There were, however, marked differences in nutritional composition between South Asians and white Europeans, summarised in Table 3, and between black African-Caribbeans and white Europeans, summarised in Table 4.
* Means adjusted for age in quartiles, sex, day of week, month, interviewer and school (random effect).
† Geometric mean.
* Differences (South Asian minus white European in all cases) are adjusted for age in quartiles, sex, day of week, month, interviewer and school (random effect). Thirty-six South Asians could not be classified specifically as Indian, Pakistani or Bangladeshi and are therefore omitted from South Asian subgroup analysis.
† Percentage difference.
* Differences (black African-Caribbean minus white European in all cases) are adjusted for age in quartiles, sex, day of week, month, interviewer and school (random effect). Forty-one black African-Caribbeans could not be classified specifically as black African or black Caribbean and are therefore omitted from black African-Caribbean subgroup analysis.
† Percentage difference.
South Asians: comparisons with white Europeans
Total energy intake was higher among South Asians, mainly reflecting higher intakes of total fat and total protein, which contributed to greater percentages of total energy intake than in white Europeans. Saturated fat provided a lower percentage of energy and polyunsaturated fat a higher percentage of energy among South Asians, but the contribution of monounsaturated fat was not markedly different. Total carbohydrate intake was similar, but total carbohydrate intake as a percentage of energy was lower. This particularly reflected lower intakes of sugars (both in absolute amounts and as percentages of energy) while starch intakes were higher. NSP intake was higher among South Asians. Intakes of several micronutrients, including vitamin C, vitamin D and Ca were lower, though total Fe intake was higher.
Differences in nutritional composition between white Europeans and South Asians specifically of Indian, Pakistani and Bangladeshi origin are shown in Table 3. The higher total energy intakes, the higher proportions of energy obtained from fat, polyunsaturated fat, starch and protein and the lower proportions of energy from saturated fat and sugars observed in all South Asians were particularly marked among the Bangladeshi children (who also showed particularly high intakes of monounsaturated fat) and to a lesser extent the Pakistani children; Indian children generally showed nutrient intake patterns closer to those of white Europeans. Similarly, low micronutrient intakes (particularly of vitamin C and Ca) were particularly marked among Bangladeshi children, who also had lower folate intakes. Bangladeshi children had lower NSP intake than white Europeans, while Indian and Pakistani children had higher intakes.
Black African-Caribbeans: comparisons with white Europeans
Total energy intake was similar among black African-Caribbean and white European children (Tables 2 and 4). However, black African-Caribbeans derived lower percentages of energy from total and saturated fat and higher percentages of energy from protein and carbohydrate. Monounsaturated fat and polyunsaturated fat intakes did not differ markedly from white European intakes. Intake of starch was markedly higher while intakes of NSP and sugars tended to be lower. Black African-Caribbean children had lower intakes of Ca and vitamin D but a higher intake of haem Fe.
Differences in nutritional composition between white Europeans and black African-Caribbeans specifically of African and Caribbean origin are shown in Table 4. Black African children had particularly low percentages of energy intake from total and saturated fat and obtained a higher percentage of energy from carbohydrate (particularly from starch). They had markedly higher folate intakes than black Caribbean children. Black Caribbean children appeared to have fat and carbohydrate intakes much closer to those of white Europeans.
The patterns of ethnic differences described between South Asians, black African-Caribbeans and white Europeans were similar in boys and girls. In further analyses, the ethnic differences were not affected by adjustment for socio-economic status based on parental occupation or parental education. Additional adjustment for height (a strong proxy marker of socio-economic status(Reference Li, Manor and Power46)) also had no material effect on the results. The replacement of the white European ethnic group by white British children (n 372) had little effect on the pattern of ethnic differences observed. In sensitivity analyses excluding under-reporters (n 476) and over-reporters (n 149), the pattern of ethnic differences in nutrient intakes observed was not materially altered.
The results of this detailed study of 9- to 10-year-old children suggest that there are marked ethnic differences in nutritional composition in the UK. Compared with white Europeans, children of South Asian origin appeared to have higher intakes of total energy, total and polyunsaturated fat, protein and starch (both absolute and as proportions of energy), while their intake of sugars and many micronutrients appeared lower. These differences were particularly marked among the children of Bangladeshi origin. Black African-Caribbean children, in contrast, had lower intakes of total and saturated fat (both absolute and as proportions of energy). Intakes of sugars and NSP were also lower, while intakes of protein and starch were higher. Ca intake was lower and Fe intake higher. The differences in fat and starch intake were particularly marked among black African children.
Agreement with previous studies
The possibility that energy intakes are higher in South Asians, though consistent with one previous report in adults(Reference McKeigue, Marmot and Adelstein47), has not been observed in several other studies in adults, which showed little or no difference in energy intakes between South Asians and white Europeans(Reference Miller, Kotecha and Wilkinson20–Reference Vyas, Greenhalgh and Cade22). The higher fat intakes (in particular, higher percentage of energy derived from polyunsaturated fats) and lower intakes of micronutrients observed among South Asians in the present study are consistent with differences both in fat intake and vitamin C intake reported in earlier studies in adults(Reference Miller, Kotecha and Wilkinson20–Reference Ness, Cappuccio and Atkinson24, Reference Smith, Knight and Sahota48). However, thehigher saturated fat intakes reported in a recent study of South Asian adults were not confirmed here(Reference Anderson, Bush and Lean23). The lower fat intakes (in particular, the lower percentage of energy derived from saturated fat) reported for black African-Caribbean children are consistent with the differences in fat intake reported in earlier studies in adults(Reference Vyas, Greenhalgh and Cade22). The nutrient intake patterns observed in the present study closely reflect ethnic differences in food group items consumed by the children. In preliminary analyses in comparison with white Europeans, South Asian children derived much higher proportions of energy from pasta and rice, fats, milk and ‘other vegetables’ and lower proportions from potatoes, leafy vegetables, breakfast cereals, cheese and yoghurts, and fruit and nuts. Black African-Caribbean children, in contrast, obtained greater proportions of energy from meat, milk, pasta and rice and ‘other vegetables’ in their diets and much less from potatoes, breads, fats, fish, cheese and yoghurt and fruit and nuts. These differences could well help to explain both macronutrient and micronutrient intakes between these groups.
Strengths and limitations of the present study
The strengths and limitations of the study merit consideration. The present study was based in three cities which together account for more than two-thirds of South Asians and black African-Caribbeans living in the UK and specifically included South Asian children of Indian, Pakistani and Bangladeshi origin and black African-Caribbean children of black African and black Caribbean origin. Comparisons of nutritional composition were strengthened by being conducted on a within-school basis, to limit the scope for confounding, especially for socio-economic factors. Although response rates were moderate (probably reflecting the appreciable social deprivation of the population studied), response rates did not differ markedly by ethnic group and are unlikely to account for the ethnic differences in dietary composition observed. A single structured 24 h recall assessment was used because it has been previously shown to provide a valid and unbiased estimate of usual dietary intake in individuals, making it particularly suitable for group-level comparisons in children of this age(Reference Frank, Berenson and Schilling32–Reference Biro, Hulshof and Ovesen34) as well as in adults(Reference Gersovitz, Madden and Smiciklas-Wright31). The method is more suitable than food-frequency approaches for this age group(Reference Field, Peterson and Gortmaker49), does not demand high levels of literacy and is particularly suitable for large-scale surveys(Reference Bingham, Nelson, Margetts and Nelson35). The use of direct interviews without involving a carer has the advantage of providing a more complete picture of nutrient intake (including foods eaten outside the home) which is not biased by the presence of the carer(Reference Sobo, Rock and Neuhouser33). The validity of the estimates of nutrient intakes obtained using the 24 h recall method in the present study is supported by several observations. First, estimates of all nutrient intakes were positively correlated with estimates obtained using prospective 4 d dietary diaries in a sub-study in 500 children (AS Donin, CM Nightingale, CG Owen, AR Rudnicka, MC McNamara, CJ Prynne, AM Stephen, DG Cook and PH Whincup, unpublished results). Second, overall intakes of both macronutrients and micronutrients in the present study are close to those of 7- to 10-year-old children in the 2000 National Diet and Nutrition Survey (NDNS)(Reference Gregory and Lowe50), which used prospective, 7 d weighed food diaries to assess food intakes; the prevalence of under-reporting of total energy intake was also similar to (though slightly lower than) under-reporting rates reported in the NDNS for the 7- to 10-year age group (29 % for boys and 27 % for girls). Third, the patterns of ethnic differences in nutrient intakes in the present study are substantially consistent with those reported in previous studies in adults(Reference Miller, Kotecha and Wilkinson20, Reference Vyas, Greenhalgh and Cade22, Reference McKeigue, Marmot and Adelstein47). Although the present study was primarily based on nutrient intake assessments for weekdays during school terms, these account for at least half the days in the year at this age and are likely to be reasonably representative; the exclusion of holiday periods is likely to have led to underestimation rather than overestimation of the extent of ethnic differences in nutrient intakes. Although the reporting of dietary intake (particularly energy intake) is known to be influenced by participant characteristics (particularly body weight), there is little evidence that reporting of nutrient intakes varies by ethnic group(Reference Vyas, Greenhalgh and Cade22). The higher reported energy intakes observed in South Asian children in the present study could reflect true differences, but they may also reflect a specific problem in the assessment of portion sizes in this group. In the present study, most South Asian children reported a distinctive pattern of meal intake, having two full meals in the later part of the day (one immediately on returning home, with a family meal later in the evening). Further investigation will be needed to resolve whether the meal pattern has resulted in overestimation of total energy intake, though it would not be expected to affect estimates of macronutrient intakes expressed as proportions of total energy.
Implications of ethnic differences in nutritional composition for future chronic disease risk
The persistence of the differences in nutritional composition between South Asian and white European children observed in the present study could have important consequences for longer-term risks of obesity, CHD and type 2 diabetes among the South Asians. If substantiated in further studies, the higher total energy intakes observed for South Asian children, primarily derived from fat and protein, may induce positive energy balance and be responsible for appreciable increases in risks of longer-term overweight and obesity(Reference Ortega, Requejo and Andres51, Reference Garaulet, Martinez and Victoria52), particularly at the lower levels of physical activity reported in South Asians(Reference Owen, Nightingale and Rudnicka53). Long-term increases in overweight and obesity from childhood onwards may themselves increase risks of CHD and type 2 diabetes(Reference Owen, Whincup and Orfei54). The high average total fat intake among South Asian children (accounting for about 36 % of energy intake) suggests that most of these children exceed the Committee on Medical Aspects of Food and Nutrition Policy (COMA) recommendation for a maximum of 35 % of energy to be derived from fat. The higher overall fat intake may have implications for long-term risks of type 2 diabetes and CHD(Reference Gupta, Misra and Pais55); high polyunsaturated fat intakes have been associated with higher fasting serum insulin levels in young Asian Indians(39). The higher intakes of starch in South Asians may enhance glycaemic response, reducing insulin sensitivity and increasing TAG levels(Reference Willett, Manson and Liu56). The lower levels of micronutrient intakes observed in South Asians, particularly of vitamin C, vitamin D and Ca, could also affect long-term disease risks. In adults, vitamin C intake shows a graded inverse relationship with risks of type 2 diabetes and CVD, even within the normal range(Reference Enstrom, Kanim and Klein57, Reference Harding, Wareham and Bingham58). Evidence suggests that low vitamin D intake and (in particular) low circulating levels of vitamin D and Ca may be associated with increased risks of insulin resistance, type 2 diabetes and CHD(Reference Pittas, Lau and Hu59–Reference Wang, Pencina and Booth61). The particularly marked nutritional differences between Bangladeshi and white European children are consistent with the markedly higher risks of type 2 diabetes and CHD among UK Bangladeshi adults(Reference Wild, Fischbacher and Brock2, 3). It is also possible that genetic factors modify the influence of nutrient intakes on risks of CVD and type 2 diabetes, and that Asian populations could be particularly susceptible(Reference Tai and Tan62), though this has still to be established.
For the black African-Caribbeans, the lower proportions of energy derived from total and saturated fat would be expected to lead to a favourable lipid profile, particularly lower LDL-cholesterol, which would be expected to reduce the rate of coronary atherosclerotic plaque development and CHD(Reference Choy, Siow and Mymin63). Such findings are consistent with the lower long-term risks of CHD observed in black African-Caribbean adults(Reference Wild, Fischbacher and Brock2, 3, Reference Wild and McKeigue5). However, the finding that total and saturated fat intakes were particularly low among black Africans, while those of black Caribbeans are closer to those of white Europeans, suggests that the diets of the black Caribbean population may have become increasingly westernised since migration, and that the protection against CHD previously experienced by black African-Caribbean adults(Reference Wild, Fischbacher and Brock2, Reference Wild and McKeigue5) may be increasingly concentrated among black Africans during the next generation. The effects of the slightly higher starch intakes among black African-Caribbeans remain uncertain, though they could have adverse long-term effects on insulin sensitivity(Reference Willett, Manson and Liu56). The lower intakes of NSP among black African-Caribbean children could have important adverse long-term effects, impairing satiety signals and appetite control(Reference Anderson and Hanna16), and increasing long-term risk of obesity(Reference Pereira and Ludwig64), diabetes(Reference Yang, Kerver and Park65, Reference Parillo and Riccardi66) and stroke(Reference Liu, Manson and Stampfer67). The lower intakes of Ca and vitamin D (more so for Ca in African-Caribbeans, and for vitamin D in South Asians), particularly if reflected in low overall circulating vitamin D levels, could be relevant to increased longer-term risks of type 2 diabetes and CVD(Reference Pittas, Lau and Hu59, Reference Wang, Pencina and Booth61).
There are substantial differences in the nutritional composition of the diets of children of South Asian, black African-Caribbean and white European origin living in the UK. The persistence of these dietary differences into adult life could contribute to the continuation of the current pattern of ethnic differences in chronic disease into the next generation.
The present study was supported by The Wellcome Trust (grant no. 068362/Z/02/Z) and the National Prevention Research Initiative (NPRI). The funding partners for the NPRI award were: British Heart Foundation; Cancer Research UK; Department of Health; Diabetes UK; Economic and Social Research Council; Medical Research Council; Health and Social Care Research and Development Office for Northern Ireland; Chief Scientist Officer, Scottish Government Health Directorate; Welsh Assembly Government; Food Standards Agency; World Cancer Research Fund. A. S. D. was supported by a British Heart Foundation PhD studentship (reference no. FS/08/022/24946).
We are grateful to Cathy McKay, Miranda Price, Andrea Wathern and Rahat Rafiq for their work on the organisation of the CHASE study and to the schools, parents and children who participated in the CHASE study. We would also like to thank the dietary assessment team at the Medical Research Council Human Nutrition Research Centre, particularly Sarah-Jane Flaherty and Jonathan Last for their diligent work in coding the dietary recalls from the study.
P. H. W., D. G. C., A. M. S. and A. S. D. were involved in study design; P. H. W., D. G. C., A. M. S., A. S. D., M. C. M., C. G. O. and C. J. P. were involved in data acquisition. C. M. N. and A. R. R. carried out statistical analyses; all authors contributed to data interpretation. A. S. D. and P. H. W. wrote the manuscript and all authors provided critical revision. P. H. W., D. G. C., A. M. S. and C. G. O. obtained funding and supervised the study.
None of the authors had a personal or financial conflict of interest.