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Haem and non-haem iron intake through 17 years of adult life of a British Birth Cohort

Published online by Cambridge University Press:  01 November 2007

J. Johnston
Affiliation:
MRC Human Nutrition Research, Elsie Widdowson Laboratory, Fulbourn Road, Cambridge CB1 9NL, UK
C. J. Prynne*
Affiliation:
MRC Human Nutrition Research, Elsie Widdowson Laboratory, Fulbourn Road, Cambridge CB1 9NL, UK
A. M. Stephen
Affiliation:
MRC Human Nutrition Research, Elsie Widdowson Laboratory, Fulbourn Road, Cambridge CB1 9NL, UK
M. E. J. Wadsworth
Affiliation:
MRC National Survey of Health and Development, University College and Royal Free Medical School, 1–19 Torrington Place, London WC1E 6BT, UK
*
*Corresponding author: Dr C. J. Prynne, fax +44 (0) 1223 437515, email [email protected]
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Abstract

An investigation was carried out to determine whether there were significant changes in the intake of haem and non-haem Fe of adult men and women in the UK from 1982 (aged 36 years) to 1999 (aged 53 years). The 1253 subjects studied were members of the Medical Research Council National Survey of Health and Development; a longitudinal study of a nationally representative cohort of births in 1946. Food intake was recorded in a 5-d diary at age 36 years in 1982, 43 years in 1989 and 53 years in 1999. Outcome measures were mean intakes of total Fe, haem and non-haem Fe, by year, gender and food source. There were significant changes in total Fe, haem Fe and non-haem Fe intake over the three time points. Total Fe intake was significantly higher in 1989 than in 1982 or 1999 for both men and women but haem Fe was significantly lower in 1999 mainly due to a 40 % fall in haem Fe from beef during this period. Haem Fe from processed meats fell by more than 50 % between 1989 and 1999 but that from poultry rose by more than 50 %. Cereal foods remained the most important source of non-haem Fe and the contribution from breakfast cereals rose relative to that of bread over the 17 years. Several factors could be responsible for these changes, particularly the importance of the epidemic of BSE from 1990. The possible advantages of a lower haem Fe intake in older subjects are discussed.

Type
Full Papers
Copyright
Copyright © The Authors 2007

Fe deficiency is one of the most common nutrient deficiencies in the British population, especially amongst pre-menopausal women and children. Measurements of Fe status in the UK population in 2003 showed that 11 % of women between 19 and 49 years had serum ferritin < 15 ug/l (the lower limit of the normal range) and 8 % had haemoglobin < 12 g/dl (WHO lower limit)Reference Ruston, Hoare, Henderson, Gregory, Bates, Prentice, Birch, Swan and Farron1. According to the National Food Survey, the overall mean intake of Fe from food sources has fallen from a mean of 14 mg/d in 1965 to 10 mg/d in 2000 and the sources of Fe have also changed; reduced consumption of bread and red meat but greater consumption of Fe-fortified breakfast cerealsReference Henderson, Irving, Bates, Prentice, Perks, Swan and Farron2. However, Fe status is not necessarily related to intake as Fe absorption depends on bioavailability and the level of Fe depletion in the body. Non-haem Fe, which makes up 94 % of dietary Fe in the UKReference Henderson, Irving, Bates, Prentice, Perks, Swan and Farron2, is generally less well absorbed than haem Fe and absorption can be reduced by various factors in the diet, such as tannins, phytates, Ca, polyphenols, soya protein and dietary fibreReference Hallberg3. The other 6 % of dietary Fe is haem Fe that derives mainly from the haemoglobin and myoglobin of meat. Absorption of haem Fe can vary between 40 % during Fe deficiency to 10 % under conditions of Fe repletionReference Hallberg, Hulten and Gramatkovski4 and its absorption is less strongly influenced by other dietary factors.

Red meat (beef, lamb and pork) is the main source of haem Fe and although it still contributes 5 % of total Fe intakeReference Henderson, Irving, Bates, Prentice, Perks, Swan and Farron2, the consumption of red meat has fallen in recent years5. Consumption of red meat has been related to the incidence of cancerReference Norat, Bingham and Ferrari6 and CVDReference Hu, Stampfer, Manson, Ascherio, Colditz, Speizer, Hennekens and Willett7; the latter attributed largely to the saturated fat content in particular. In addition to these health implications of red meat consumption, the BSE (mad cow disease) epidemic, which reached a peak in 1993, also served to reduce beef consumption in the UK. As a result it would be expected that the proportion of haem Fe in the diet would be reduced. Although data on haem Fe intake of British adults have been reported for 2000Reference Henderson, Irving, Bates, Prentice, Perks, Swan and Farron2 there is no earlier, nationally representative data to confirm this probable trend. The Medical Research Council National Survey of Health and Development (NSHD) (1946 Birth Cohort) is a longitudinal study that provided the opportunity to examine trends over time in a constant sample of subjects. Results of dietary surveys carried out in 1982, 1989 and 1999 showed that whereas total Fe consumption rose between 1982 and 1989, probably due to increased fortification of some foods, intakes had fallen significantly by 1999 in both men and womenReference Prynne, Paul, Mishra, Greenberg and Wadsworth8. The present paper reports on a re-examination of the dietary data that have separated dietary Fe into haem and non-haem components and identified changes in the sources of these components.

Method

The Medical Research Council NSHD, also known as the 1946 British Birth Cohort, is a longitudinal study of health based on a social class-stratified, random sample of 5362 singleton births in England, Scotland and Wales during the first week of March 1946. Throughout childhood and adult life, medical, social, educational and other information has been collected on twenty-one occasions. Research nurses made home visits at ages 36, 43 and 53 years, in 1982, 1989 and 1999 respectively and left diet diaries to be completed. The population interviewed at the age of 53 years was, in most respects, still representative of a 53-year-old, native-born populationReference Wadsworth, Butterworth, Hardy, Kuh, Richards, Langenberg, Hilder and Connor9. Of the 3035 cohort members who were contacted in 1999, there were 1263 individuals who had also provided dietary data in 1982 and 1989. Of these, there were 1253 subjects; 562 men and 691 women, for whom there were diet records of at least 3 d collected at each time point. This sub-sample forms the population for the current analysis.

Dietary assessment

Details of the subjects and the dietary assessment methods have been reported previouslyReference Prynne, Paul, Mishra, Greenberg and Wadsworth8. Subjects were asked to record all food and drink consumed both at home and away in 5-d diaries using household measures and estimated portion sizes according to detailed guidance notes and photographs provided at the beginning of the diary. The diaries were coded using the in-house program DIDOReference Price, Paul, Key, Harter, Cole, Day and Wadsworth10. The coded records were analysed using the in-house analysis program that allows foods to be grouped as required for the purpose of identifying sources of particular nutrients. The in-house food composition database is based on McCance and Widdowson data from 1978 to 200211Reference Chan, Brown, Lee and Buss16 so that each survey was analysed using time-appropriate total Fe data. Values for haem Fe content were derived from the nutrient databank originally compiled by the Ministry of Agriculture, Fisheries and Food, in which the haem Fe had been calculated as 40 % meat FeReference Smithers17. The nutrient databank was downloaded from the National Data Archive. The haem Fe content was then adjusted, if necessary, for the total Fe if that was different in the older databaseReference Paul and Southgate14. Recipes were used for calculation of haem and non-haem in foods not on the National Diet and Nutrition Survey (NDNS) database and these calculated values were added to the in-house database.

All foods and drink were separated into groups of haem and non-haem Fe sources. The sources of haem Fe were further subdivided into different types of meat: beef; lamb; pork; poultry; processed meats derived from these. Included in the designation of other meats were fish, offal and game. Non-haem sources were divided into meat and meat products, fruit, vegetables and potatoes, cereals and cereal products, milk and dairy products, eggs and fats, drinks, confectionery, sauces and soups. Fe from supplements was not included in the analysis.

Statistical analysis

Data analysis was by SPSS for MS Windows 10 (SPSS Inc., Chicago, IL, USA). Means and 95 % CI for total Fe, haem and non-haem Fe intakes were calculated at each time point stratified by gender. General linear models, repeated measures, was used to identify significant changes over the 3 years, with post hoc Bonferroni comparisonsReference Kinnear and Gray18. Percentage contributions to total haem and non-haem Fe from food groups in 1982 and 1999 were compared and significant differences between the years were identified using the paired sample t test, significance taken as P < 0·05.

Results

Results are from the population of 1253 individuals, from whom there were dietary records of at least 3 d collected in 1982 at age 36 years, in 1989 at age 43 years and in 1999 at age 53 years. Five completed days were obtained from 85 % of respondents in 1982, 94 % in 1989 and 99·5 % in 1999. Dietary data were analysed according to gender and year of data collection.

Tables 1 and 2 show the mean total Fe, haem and non-haem Fe intake of men and women respectively in each of the 3 survey years. Also shown are the haem and non-haem Fe intakes from each of the dietary sources. There was a significant increase in total Fe intake from 1982 to 1989 due to an increase in non-haem Fe intakes in both men and women. There were significant decreases in mean total Fe intakes in 1999 compared to 1989 in both men and women, but intakes from women did not fall below that in 1982. However, haem Fe intakes in 1999 were significantly lower than those in 1989 and 1982 for men and women. The percentage of total Fe that was haem Fe fell from 9 to 6 in men and 8 to 5 in women.

Table 1 Haem and non-haem Fe intakes of British men, by year of dietary survey and by food source (Mean values and 95 % CI for 562 subjects)

a,b,cMean values within a row with unlike superscript letters were significantly different (P < 0·05).

* Includes sugars, preserves, confectionery, beverages, sauces and soups.

For details of subjects and procedures, see Method.

Table 2 Haem and non-haem Fe intakes of British women, by year of dietary survey and by food source (Mean values and 95 % CI for 691 subjects)

a,b,c Mean values within a row with unlike superscript letters were significantly different (P < 0·05).

* Includes sugars, preserves, confectionery, beverages, sauces and soups.

For details of subjects and procedures, see Method.

Haem Fe from beef and pork remained constant between 1982 and 1989 but fell significantly in 1999 in both men and women. Haem Fe from lamb fell significantly from 1982 to 1989 in men and continued to fall between 1989 and 1999 in women, while that from poultry rose continuously and significantly from 1982 to 1999 in all subjects.

Of other haem Fe sources, the quantity from processed meats fell significantly in 1999 to less than half the intake in 1989. Offal is a very rich source of Fe but the quantity of haem Fe from this source was halved between 1982 and 1999.

Intakes of non-haem Fe from cereal foods increased significantly between 1982 and 1989 in men and women and fell again in 1999 but not below the 1982 level. The intake of non-haem Fe from breakfast cereals, in particular, nearly doubled between 1982 and 1989 in men and was also significantly higher in women. There was no significant change in the intake of non-haem Fe from this source between 1989 and 1999 but the intake from bread fell significantly in all subjects during this period.

Non-haem Fe from meat, fish, and dishes containing meat or fish fell from 1982 to 1999 in both men and women. However, that from fruit and vegetables increased from 1982 to 1989 in men and again from 1989 to 1999 in women. Non-haem Fe from dairy products and eggs declined throughout the years in men and between 1982 and 1989 in women. Other non-haem Fe sources, which include confectionery, sauces, soups and beverages (consisting of alcohol, fizzy drinks, squashes and water), increased from 1989 to 1999. In particular, the Fe intake from red wine increased significantly (P < 0·001); intake in 1999 being more than double that in 1989 (result not shown).

Figs. 1 and 2 show the mean percentage contributions of haem and non-haem Fe from different sources in the diet of these subjects in 1982 and 1999. The most significant change in sources of haem Fe was the fall in the contribution from beef from 41 % to 35 % (men) and from 40 % to 29 % (women) from 1982 to 1999. Although haem Fe intakes from beef were seen to fall, beef still remained the main contributor of haem Fe. The contribution to haem Fe intakes from lamb was much smaller but also fell significantly between 1982 and 1999. The percentage contribution from poultry in women showed a nearly three-fold increase between 1982 and 1999 and in men increased from 7 % to 18 %. The percentage contribution from other sources did not change significantly over the two time points.

Fig. 1 Mean percentage contribution to total haem Fe intake from different meats by year (□, 1982; ■, 1999) for (A) men and (B) women. The Y axis shows the mean percentage contribution from each of the types of meat given on the X axis. ‘Other’ refers to fish, offal and game. The standard errors of the means are indicated by the vertical bars. Food intake data was recorded in a 5-d diary by subjects in the National Survey of Health and Development 1946 birth cohort at three time points: 1982; 1989; 1999. The results shown are for the 562 men and 691 women who completed at least 3 d of records in all 3 years. Mean values were significantly different from those of 1982: ***P < 0·001. For details of subjects and procedures, see Method.

Fig. 2 Mean percentage contribution to total non-haem Fe intake from different food groups by year (□, 1982; ■, 1999) for (A) men and (B) women. The Y axis shows the mean percentage contribution of food groups given on the X axis. ‘Other’ refers to sugars, confectionery, sauces, soups and beverages. The standard errors of the means are indicated by the vertical bars. Food intake data was recorded in a 5-d diary by subjects in the National Survey of Health and Development 1946 birth cohort at three time points: 1982; 1989; 1999. The results shown are for the 562 men and 691 women who completed at least 3 d of records in all 3 years. Mean values were significantly different from those of 1982: ***P < 0·001. For details of subjects and procedures, see Method.

Examination of non-haem Fe sources shows that in 1982 the main contributor was bread. In 1999, fruit and vegetables contributed the greatest percentage, the contribution from these foods rose between the years, particularly in women. Cereals and cereal products, which included breakfast cereals, bread, cakes, biscuits and puddings, contributed almost half of the non-haem Fe intake, ranging from 40–42 % in both survey years. The greatest change in percentage contribution to non-haem Fe intake was the increase in that from breakfast cereals, particularly in men where the contribution doubled between 1982 and 1999.

Discussion

The present study identifies significant changes in the intake of haem and non-haem Fe in a cohort of adults in the UK investigated over a period of 17 years. Changes in total Fe intake have already been reported with regard to the NSHD 1946 Birth CohortReference Prynne, Paul, Mishra, Greenberg and Wadsworth8 but separate intakes of haem and non-haem Fe intakes were not available at the time. The main findings of the present study were:

  1. 1 Haem and non-haem Fe intakes rose through the years of 1982 to 1989 and fell in 1999; the same trend as that for total Fe.

  2. 2 Of the haem Fe sources, beef and beef products were the main contributors at all time points, followed by poultry, pork and lamb. There was a decline in the intake of haem Fe from beef, paralleled by an increase in that from poultry between 1989 and 1999.

  3. 3 Of non-haem Fe sources, the main contribution was from cereal foods, including breakfast cereals, bread and other cereals such as pasta, rice, cakes, biscuits and puddings, followed by fruit, nuts and vegetables and meat. The contribution from breakfast cereals became relatively more important over the 17 years.

This is the first study to identify changes in haem and non-haem Fe that have taken place over the critical period of the BSE epidemic in a nationally representative sample. A comparison of beef-eaters and non-beef-eaters of the UK women's cohort study was undertaken to investigate whether Fe intakes were lower in the non-beef-eaters but this was a cross sectional survey carried out between 1995 and 1996 with no pre-BSE data for comparison, nor was haem Fe separated from non-haem FeReference Cade, Calvert and Barrett19. The strength of the present study was that the same subjects were investigated at the different time points. However, this results in the subjects being older at each time point and the changes that might be due to ageing cannot be separated from secular changes. A minor weakness of the study is that the number of subjects who completed diaries at all three time points was small. Although 3035 of the original cohort were contacted in 1999, only 1253 had completed food diaries at all time points and these may be the most motivated members of the cohort, with dietary characteristics that may have been different from those who did not complete diaries. The majority of these subjects were from non-manual occupational social classesReference Prynne, Paul, Mishra, Greenberg and Wadsworth8 who tend to have a greater degree of literacy and are more health aware. Another weakness of the study was the haem Fe database on which the results were based. The values on the Ministry of Agriculture Fisheries and Food database were calculated on the assumption that 40 % of all meat Fe was haem Fe. This assumption was, in turn, taken from the work of Monsen, who reported that 30 to 40 % of the Fe in pork, liver and fish and 50 to 60 % of the Fe in beef, lamb and chicken was haem FeReference Monsen, Hallberg, Layrisse, Hegsted, Cook, Mertz and Finch20. As these figures come from analyses carried out many years ago, there are grounds for concern that the basis of any work carried out on haem Fe intakes using the Ministry of Agriculture Fisheries and Food databank may be unsound. More recent analyses of meat in Italy have reported 72–87 % haem Fe in red meats while the haem Fe of poultry varied markedly between musclesReference Lombardi-Boccia, Martinez-Dominguez and Aguzzi21. However, since the same values have been used for the national surveysReference Henderson, Irving, Bates, Prentice, Perks, Swan and Farron2, Reference Bull and Buss22 as for the present study, comparisons would still be valid.

Although we can speculate on the causes of the changes, there have been many different ways in which intakes of haem Fe or non-haem Fe could have been influenced during the years that have been studied. The range of foods, particularly convenience foods, available to consumers has changed and expanded. Estimation of the Fe content of these ready-made meals can be imprecise, as the formulation may differ from similar foods prepared at home from ingredients. In addition, the price of foods, particularly of different types of meat relative to one another, may have had an impact on consumer choice. Another factor is the change in the nutrient content of foods. With regard to meat, this may be due to changes in animal husbandry and slaughtering practices. Animals are now killed at a young age and there is some evidence that intensive rearing results in lower mineral content of meatReference Purchas and Busboom23. Since 1996, unless certified under the Beef Assurance Scheme, cattle must be slaughtered before 30 months of age24. With regard to non-haem Fe, levels of food fortification, particularly of breakfast cereals, have also changed over the years11, Reference Holland, Unwin and Buss12, Reference Paul and Southgate14.

Changes in haem Fe intake over time and contribution from different food sources

As beef and beef products were the main contributor to the haem Fe intake in the diets of the subjects at all time points, the decline in beef consumption between 1989 and 1999 was the main cause of the reduction in total haem Fe intake in 1999. BSE was first confirmed in cattle in 1986Reference Ricketts25 and was given further impetus by the announcement by the Secretary of State for Health in 1996 that there may be a link between BSE in cattle and variant CJD in man. This resulted in a significant loss of confidence in British beef, especially the cheaper cuts and beef products, both in the UK and in many export markets. Between 1982 and 1996, national consumption of beef and veal was halved and, although there was some recovery in consumption by 1997, it did not return to pre-BSE levels5. Data from the NSHD showed that haem Fe from beef in 1999 was approximately 40 % lower than that of 1982 so the consumption of beef would appear to mirror that reported by the National Food Survey, which reports data derived from household purchases5. However, in a comparison of non-beef-eating meat eaters and beef-eating meat eaters in the UK Women's Cohort Study, no difference was found in total Fe intakeReference Cade, Calvert and Barrett19.

Although BSE is considered to be the major contributory factor to the reduction in beef consumption, there was already a decline in haem Fe intake between 1982 and 1989. The contribution to haem Fe from lamb also fell through the years in the survey. This mirrors the National Food Survey lamb and mutton consumption figures for 1982, 1989 and 19995. The consumption of lamb did not rise in response to the decline in beef consumption in 1999, which could be explained by the cost of lamb relative to beef. In 1989 the cost of lamb was 26 % less than beef but this difference had reduced to 8 % by 1999. In addition, the public loss of confidence in beef may also have extended to lamb, as there was speculation about the relationship of BSE to scrapie, spongiform encephalopathy of sheepReference Bradley26. The rise in haem Fe from poultry is a direct consequence of the fall in that from beef. The consumption of lean poultry has been encouraged to reduce the intake of saturated fats and, together with the health scare engendered by BSE, this has resulted in an increase in poultry consumption coincident with the move away from red meatsReference Prynne, Paul, Mishra, Greenberg and Wadsworth8. The fall in haem Fe from processed meats between 1989 and 1999 may have been due to reduced consumption of processed meats as the public became more aware of the risks to health that consumption of processed meats presented, such as colorectal cancerReference Gibson and Ashwell27. There was also concern that processed beef products, particularly those made from mechanically recovered meat, could be contaminated with parts of the cow that were infected with BSE. In 1999 the NSHD cohort were at an age when the maintenance of good health was becoming of greater significance so their response to all the factors described earlier might have been greater than that of younger people. Comparison with a nationally representative sample of the same age shows that total haem Fe intake of the 1946 cohort in 1999 was only slightly lower than that reported by the NDNS for the 50–64 year old age group in 2001 (0·78 compared with 0·9 mg/d (men); 0·52 compared with 0·6 mg/d (women)Reference Henderson, Irving, Bates, Prentice, Perks, Swan and Farron2.

Changes in non-haem Fe intake over time and contribution from other sources

In agreement with the findings of the 2001 NDNS, over 90 % of the total Fe intake in this survey was in the form of non-haem Fe. Of this, bread and breakfast cereals provided 33 %, which is slightly lower than that reported by the NDNS (35 % men and 37 % women)Reference Henderson, Irving, Bates, Prentice, Perks, Swan and Farron2. The contribution from breakfast cereals increased through the years 1982 to 1989, when there were substantial increases in Fe fortification levels11, Reference Holland, Unwin and Buss12, Reference Paul and Southgate14, in addition to an increase in the quantity of breakfast cereals consumed (results not shown). A total of 73 % of the increase in Fe intake between 1982 and 1989 was due to fortification. Fruit and vegetable contribution to non-haem Fe increased in both men and women, although the increase was greater in women. A rise in the consumption of fruit and vegetables, particularly in the women of this cohort, has already been reported and has been attributed to the exposure to health messages in the media as well as advice from health professionals and the governmentReference Prynne, Paul, Mishra, Greenberg and Wadsworth8.

The present results have shown that the intake of haem Fe as a percentage of total Fe intake has fallen as predicted in this cohort over a period of 17 years and this probably reflects the national situation, as the 1999 NSHD results closely mirror those of the NDNS 2001: 0·9 and 0·6 mg/d for men and women respectively in the 50–64 year age groupReference Henderson, Irving, Bates, Prentice, Perks, Swan and Farron2. The estimated average haem Fe intake in the UK in 1977 was 1·29 mg/d; 13 % total Fe from food sourcesReference Bull and Buss22, which is higher than the intake of the NSHD men in 1982. As absorption of haem Fe is known to be better than that of non-haem Fe and less affected by other dietary constituents, this reduction in intake over the years could be cause for concern if the same intakes were found in younger women in the UK. If this was the case, 16 % would have Fe intakes lower than the Lower Reference Nutrient Intake (LRNI), of which only 5 % would be of the more available haem Fe28. However, the majority of the women of the NSHD cohort would have been post-menopausal in 1999 and their Fe requirement considerably reduced; from 14·8 mg/d (pre-menopause) to 8·7 mg/d28.

The relationship between haem Fe intake and Fe accumulation in the body remains controversial. Garry et al. found no association between dietary haem Fe intake and Fe stores in either a longitudinal or cross sectional study of elderly men and women, aged from 60 to 93 yearsReference Garry, Hunt and Baumgartner29. However, analysis of the data from the NDNS of people aged over 64 years found that dietary haem Fe intake was positively associated with serum ferritin of the women but not in menReference Doyle, Crawley, Robert and Bates30. Cade also reported that there was a strong positive association between serum ferritin and haem Fe, but not total Fe or non-haem Fe, and there was an effect of genotype that primarily occurred after menopauseReference Cade, Moreton, O'Hara, Greenwood, Moor, Burley, Kukalizch, Bishop and Worwood31.

With regard to the NSHD cohort, at age 53 years, the reduction in haem intake may be advantageous as there have been reported associations between moderate increases in body Fe stores and/or haem Fe intake of the elderly and risk for some age-related chronic diseases. An increased risk of myocardial infarction among men with higher intakes of haem Fe, which itself was positively associated with higher Fe stores, was reported from the USAReference Ascherio, Willett, Rimm, Giovannucci and Stampfer32. In the Netherlands, CHD was found to be linked with high dietary haem Fe intake in womenReference Van der A, Peeters, Grobbee, Marx and Van der Schouw33. These women had very high haem Fe intakes; a mean of 1·81 mg/d, which was much higher than the 0·52 mg/d of the NSHD women. A positive association has also been found between haem Fe intake and the risk of type II diabetesReference Jiang, Ma, Asherio, Stampher, Willett and Hu34, Reference Lee, Folsom and Jacobs35, although the authors qualify their findings by admitting that they were unable to determine whether the association was due to haem Fe or to other components of red meat.

There are reports that the association between colon cancer and red meat consumption is not due to the fat or protein content of meat but its haem Fe content. Haem Fe was shown to increase epithelial proliferation and colonic cytotoxicity in ratsReference Sesink, Termont, Kleibeuker and Van Der Meer36, and in studies on rats and human subjects haem Fe intake was associated with markers for colon cancer riskReference Pierre, Peiro, Tache, Cross, Bingham, Gasc, Gottardi, Corpet and Gueraud37, Reference Cross, Pollock and Bingham38.

An elevated risk of colon cancer with increasing intake of haem Fe was suggested by data from the Netherlands CohortReference Balder, Vogel, Jansen, Weijenberg, van den Brandt, Westenbrink, van der Meer and Goldbohm39 and the Iowa Women's Health StudyReference Lee, Anderson, Harnack, Folsom and Jacobs40.

Finally, there have been reports of associations between Fe stores, ageing and neurodegenerative disorders. There are mechanisms within the brain to store and regulate the availability of Fe that is vital to its function but there is evidence that in some neurodegenerative disorders there is an excess accumulation of Fe at specific sites that suggests that the homeostatic mechanisms are disturbedReference Thompson, Shoham and Connor41Reference Zecca, Youdim, Riederer, Connor and Crichton43. In Parkinson's disease, the pigment neuromelanin in the substantia nigra has a high Fe binding capacityReference Double, Gerlach, Schunemann, Trautwein, Zecca, Gallorini, Youdim, Riederer and Ben-Shachar44.

Compared with other haem Fe intakes reported, 1·81 mg/d (women) in the NetherlandsReference Van der A, Peeters, Grobbee, Marx and Van der Schouw33, 1·13 mg/d in ItalyReference Lombardi-Boccia, Lanzi, Lucarini and Di Lullo45 and 1·27 mg/d (men) in the USAReference Jiang, Ma, Asherio, Stampher, Willett and Hu34, the haem Fe intake of the NSHD cohort, 0·78 (men) and 0·52 (women) mg/d, was low but agreed with that reported for the UK nationally; 0·9 and 0·6 mg/dReference Henderson, Irving, Bates, Prentice, Perks, Swan and Farron2. As described earlier, these higher intakes may have been due to differences in estimation of haem Fe in foods in different countries and this emphasises the need for further analytical work to establish an accurate database of haem Fe content of British foods. However, Fe intake is not an indicator of status and until a formula is calculated from the whole diet on a meal-by-meal basis, which takes into account both the enhancers and inhibitors of Fe absorption, we cannot judge how much of the dietary Fe was actually available to the NSHD subjects. The health of the cohort is being followed as they age and further work is needed to establish whether they are at risk of over- or under-nutrition with regard to Fe.

References

Ruston, D, Hoare, J, Henderson, L, Gregory, J, Bates, C, Prentice, A, Birch, M, Swan, G & Farron, M (2004) The National Diet and Nutrition Survey: Adults Aged 19–64 Years. Volume 4. Nutritional Status (Anthropometry and Blood Analytes) Blood Pressure and Physical Activity. London: The Stationery Office.Google Scholar
Henderson, L, Irving, K, Bates, CJ, Prentice, A, Perks, J, Swan, G & Farron, M (2003) The National Diet and Nutrition Survey: Adults Aged 19–64 Years. Volume 3. Vitamin and Mineral Intake and Urinary Analytes. London: The Stationery Office.Google Scholar
Hallberg, L (1982) Iron requirements and bioavailability of dietary Fe. Experientia Suppl 44, 223244.CrossRefGoogle Scholar
Hallberg, L, Hulten, L & Gramatkovski, E (1997) Iron absorption from the whole diet in men: how effective is the regulation of Fe absorption? Am J Clin Nutr 66, 347356.CrossRefGoogle Scholar
Department for Environment, Food and Rural Affairs (2001) National Food Survey 2000: Annual Report on Food Expenditure, Consumption and Nutrient Intakes. London: The Stationery Office.Google Scholar
Norat, T, Bingham, S, Ferrari, P, et al. (2005) Meat, fish, and colorectal cancer risk: the European Prospective Investigation into cancer and nutrition. J Natl Cancer Inst 97, 906916.CrossRefGoogle ScholarPubMed
Hu, FB, Stampfer, MJ, Manson, JE, Ascherio, A, Colditz, GA, Speizer, FE, Hennekens, CH & Willett, WC (1999) Dietary saturated fats and their food sources in relation to the risk of coronary heart disease in women. Am J Clin Nutr 70, 10011008.CrossRefGoogle Scholar
Prynne, CJ, Paul, AA, Mishra, GD, Greenberg, DC & Wadsworth, MEJ (2005) Changes in intake of key nutrients over 17 years during adult life of a British birth cohort. Br J Nutr 94, 368376.CrossRefGoogle ScholarPubMed
Wadsworth, ME, Butterworth, SL, Hardy, RJ, Kuh, DJ, Richards, M, Langenberg, C, Hilder, WS & Connor, M (2003) The life course prospective design: an example of benefits and problems associated with study longevity. Soc Sci Med 57, 21932205.CrossRefGoogle ScholarPubMed
Price, GM, Paul, AA, Key, FB, Harter, AC, Cole, TJ, Day, KC & Wadsworth, MEJ (1995) Measurement of diet in a large national survey: comparison of computerised and manual coding in household measures. J Hum Nutr Diet 8, 417428.CrossRefGoogle Scholar
Food Standards Agency (2002) McCance and Widdowson's The Composition of Foods, Sixth summary edition, Cambridge: Royal Society of Chemistry.Google Scholar
Holland, B, Unwin, I & Buss, DH (1988) Cereals and Cereal Products: Third supplement to McCance and Widdowson's The Composition of Foods. Nottingham: Royal Society of Chemistry and Ministry of Agriculture, Fisheries and Food.Google Scholar
Holland, B, Unwin, ID & Buss, DH (1989) Milk and Milk Products: Fourth Supplement to McCance and Widdowson's The Composition of Foods. Cambridge: Royal Society of Chemistry and Ministry of Agriculture, Fisheries and Food.Google Scholar
Paul, AA & Southgate, DAT (1978) McCance and Widdowson's The Composition of Foods, 4th ed. London: HMSO.Google Scholar
Chan, W, Brown, J, Church, S & Buss, D (1996) Meat Products and Dishes. Sixth supplement to McCance and Widdowson's The Composition of Foods. Bath: Royal Society of Chemistry and Ministry of Agriculture, Fisheries and Food.Google Scholar
Chan, W, Brown, J, Lee, SM & Buss, DH (1995) Meat, Poultry and Game. Fifth supplement to McCance and Widdowson's The Composition of Foods. Bath: Royal Society of Chemistry and Ministry of Agriculture, Fisheries and Food.Google Scholar
Smithers, G (1993) MAFF's Nutrient databank. Nutr and Food Sci 92, 1619.CrossRefGoogle Scholar
Kinnear, PR & Gray, CD (2000) SPSS for Windows Made Simple. Release 10. Psychology Press, Taylor & Francis Group.Google Scholar
Cade, J, Calvert, C & Barrett, J (1998) How could the BSE crisis affect nutrient intake? Comparison of beef and non-beef eating meat eaters from the UK Women's Cohort Study. Europ J Clin Nutr 52, 151152.CrossRefGoogle ScholarPubMed
Monsen, ER, Hallberg, L, Layrisse, M, Hegsted, DM, Cook, JD, Mertz, W & Finch, CA (1978) Estimation of available dietary Fe. Am J Clin Nutr 31, 134141.CrossRefGoogle Scholar
Lombardi-Boccia, G, Martinez-Dominguez, B & Aguzzi, A (2002) Total heme and non-heme Fe in raw and cooked meats. J Fd Sci 67, 17381741.CrossRefGoogle Scholar
Bull, NL & Buss, DH (1980) Haem and non-haem Fe in British household diets. J Hum Nutr 34, 141145.Google Scholar
Purchas, RW & Busboom, JR (2005) The effect of production system and age on levels of Fe, taurine, carnosine, coenzyme Q10, and creatine in beef muscles and liver. Meat Science 70, 589596.CrossRefGoogle Scholar
Department for Environment Food and Rural Affairs, Beef Assurance Scheme (http://www.defra.gov.uk).Google Scholar
Ricketts, MN (2004) Public health and the BSE epidemic. Curr Top Microbiol Immunol 284, 99119.Google ScholarPubMed
Bradley, R (1991) Bovine spongiform encephalopathy (BSE): the current situation and research. Europ J Epi 7, 532544.CrossRefGoogle ScholarPubMed
Gibson, S & Ashwell, M (2003) The association between red and processed meat consumption and Fe intakes and status among British adults. Public Health Nutr 6, 341350.CrossRefGoogle Scholar
Department of Health (1991) Dietary Reference Values for Food Energy and Nutrients for the United Kingdom. London: HMSO.Google Scholar
Garry, PJ, Hunt, WC & Baumgartner, RN (2000) Effects of Fe intake on Fe stores in elderly men and women: longitudinal and cross-sectional results. J Am Coll Nutr 19, 262269.CrossRefGoogle Scholar
Doyle, W, Crawley, H, Robert, H & Bates, CJ (1999) Iron deficiency in older people: interactions between food and nutrient intakes with biochemical measures of Fe; further analysis of the National Diet and Nutrition Survey of people aged 65 years and over. Eur J Clin Nutr 53, 552559.CrossRefGoogle Scholar
Cade, JE, Moreton, JA, O'Hara, B, Greenwood, DC, Moor, J, Burley, VJ, Kukalizch, K, Bishop, DT & Worwood, M (2005) Diet and genetic factors associated with Fe status in middle-aged women. Am J Clin Nutr 82, 813820.CrossRefGoogle Scholar
Ascherio, A, Willett, WC, Rimm, EB, Giovannucci, EL & Stampfer, MJ (1994) Dietary Fe intake and risk of coronary disease among men. Circulation 89, 969974.CrossRefGoogle Scholar
Van der A, DL, Peeters, PH, Grobbee, DE, Marx, JJ & Van der Schouw, YT (2005) Dietary haem Fe and coronary heart disease in women. Europ Heart J 26, 257262.CrossRefGoogle Scholar
Jiang, R, Ma, J, Asherio, A, Stampher, MJ, Willett, WC & Hu, FB (2004) Dietary Fe and blood donations in relation to risk of type 2 diabetes in men: a prospective cohort study. Am J Clin Nutr 79, 7075.CrossRefGoogle Scholar
Lee, DH, Folsom, AR & Jacobs, DRJ (2004) Dietary Fe intake and type 2 diabetes incidence in postmenopausal women: the Iowa Women's Health Study. Diabetologia 2, 185194.CrossRefGoogle Scholar
Sesink, AL, Termont, DS, Kleibeuker, JH & Van Der Meer, R (2000) Red meat and colon cancer: Dietary haem, but not fat, has cytotoxic and hyperproliferative effects on rat colonic epithelium. Carcinogenesis 21, 19091915.CrossRefGoogle Scholar
Pierre, F, Peiro, G, Tache, S, Cross, AJ, Bingham, SA, Gasc, N, Gottardi, G, Corpet, DE & Gueraud, F (2006) New marker of colon cancer risk associated with heme intake: 1,4-dihydroxynonane mercapturic acid. Cancer Epidemiol Biomarkers Prev 15, 22742279.CrossRefGoogle ScholarPubMed
Cross, AJ, Pollock, JR & Bingham, SA (2003) Haem, not protein or inorganic Fe, is responsible for endogenous intestinal N-nitrosation arising from red meat. Cancer Res 63, 23582360.Google Scholar
Balder, HF, Vogel, J, Jansen, MC, Weijenberg, MP, van den Brandt, PA, Westenbrink, S, van der Meer, R & Goldbohm, RA (2006) Heme and chlorophyll intake and risk of colorectal cancer in the Netherlands cohort study. Cancer Epidemiol Biomarkers Prev 15, 717725.CrossRefGoogle ScholarPubMed
Lee, DH, Anderson, KE, Harnack, LJ, Folsom, AR & Jacobs, DR Jr (2004) Heme Fe, zinc, alcohol consumption, and colon cancer: Iowa Women's Health Study. J Natl Cancer Inst 96, 403407.CrossRefGoogle Scholar
Thompson, KJ, Shoham, S & Connor, JR (2001) Iron and neurodegenerative disorders. Brain Res Bull 55, 155164.CrossRefGoogle ScholarPubMed
Double, KL, Gerlach, M, Youdim, MB & Riederer, P (2000) Impaired Fe homeostasis in Parkinson's disease. J Neural Transm Suppl 3758.Google Scholar
Zecca, L, Youdim, MB, Riederer, P, Connor, JR & Crichton, RR (2004) Iron, brain ageing and neurodegenerative disorders. Nat Rev Neurosci 5, 863873.CrossRefGoogle ScholarPubMed
Double, KL, Gerlach, M, Schunemann, V, Trautwein, AX, Zecca, L, Gallorini, M, Youdim, MB, Riederer, P & Ben-Shachar, D (2003) Iron-binding characteristics of neuromelanin of the human substantia nigra. Biochem Pharmacol 66, 489494.CrossRefGoogle ScholarPubMed
Lombardi-Boccia, G, Lanzi, S, Lucarini, M & Di Lullo, G (2004) Meat and meat products consumption in Italy: contribution to trace elements, heme Fe and selected B vitamins supply. Int J Vitam Nutr Res 74, 247251.CrossRefGoogle ScholarPubMed
Figure 0

Table 1 Haem and non-haem Fe intakes of British men, by year of dietary survey and by food source† (Mean values and 95 % CI for 562 subjects)

Figure 1

Table 2 Haem and non-haem Fe intakes of British women, by year of dietary survey and by food source† (Mean values and 95 % CI for 691 subjects)

Figure 2

Fig. 1 Mean percentage contribution to total haem Fe intake from different meats by year (□, 1982; ■, 1999) for (A) men and (B) women. The Y axis shows the mean percentage contribution from each of the types of meat given on the X axis. ‘Other’ refers to fish, offal and game. The standard errors of the means are indicated by the vertical bars. Food intake data was recorded in a 5-d diary by subjects in the National Survey of Health and Development 1946 birth cohort at three time points: 1982; 1989; 1999. The results shown are for the 562 men and 691 women who completed at least 3 d of records in all 3 years. Mean values were significantly different from those of 1982: ***P < 0·001. For details of subjects and procedures, see Method.

Figure 3

Fig. 2 Mean percentage contribution to total non-haem Fe intake from different food groups by year (□, 1982; ■, 1999) for (A) men and (B) women. The Y axis shows the mean percentage contribution of food groups given on the X axis. ‘Other’ refers to sugars, confectionery, sauces, soups and beverages. The standard errors of the means are indicated by the vertical bars. Food intake data was recorded in a 5-d diary by subjects in the National Survey of Health and Development 1946 birth cohort at three time points: 1982; 1989; 1999. The results shown are for the 562 men and 691 women who completed at least 3 d of records in all 3 years. Mean values were significantly different from those of 1982: ***P < 0·001. For details of subjects and procedures, see Method.