![]() |
|
|
Medical Research Council, Cambridge, U.K.
2 To whom correspondence should be addressed. E-mail: sab{at}mrc-dunn.cam.ac.uk.
| ABSTRACT |
|---|
|
|
|---|
KEY WORDS: urine nitrogen dietary assessments biomarkers protein epidemiology
Used primarily as a biomarker of the validity of dietary assessments, 24-h urine nitrogen is the most well-known biological marker. Individual results from published metabolic studies where dietary intake is kept constant over prolonged periods of time show a fair correlation between daily nitrogen intake and daily urine-nitrogen excretion. The use of 24-h urine nitrogen depends on the assumption that subjects are in nitrogen balance and there is no accumulation due to growth or repair of lost muscle tissue or loss due to starvation, dieting or injury. This was appreciated as early as 1924, when it was suggested that actual protein intake as assessed from24-h urine excretion was far lower than the recommended level (1).
The apparent accuracy of 24-h urine nitrogen as a biological marker led to the suggestion that it be used to validate estimates of protein intake from various dietary survey methods (2). In 1980 Isaksson summarized a number of studies carried out by his group and showed that estimates of protein intake obtained from 24-h recalls of food intake were low when compared with the urine nitrogen, but those estimated from diet histories and records were in good agreement with the urine values (2). Van Staveren also found good agreement between 24-h urine and diet-history estimates of protein intake (3). Reported protein intake in obese subjects (from a diet history) was only 46 g, but on the basis of 24-h urine collections, it was 87 g. In another study, subjects who were overweight or diabetic seemed to report their prescribed diet rather than what they were actually eating as judged by the urine nitrogen excretion (4,5).
| 24-h urine nitrogen for validation of individual estimates of protein intake |
|---|
|
|
|---|
To investigate the applicability of using 24-h urine nitrogen to validate estimates of protein intake on an individual basis, four men and four women were given their usual varying diet over a 28-d period while they lived in a metabolic suite (7). Duplicates of diets were made up each day for each individual, and 24-h urine and fecal collections were also made during this period. Diet, urine, feces and skin losses were measured for their nitrogen contents (7). As judged by the correlation coefficient of 0.99, there was almost complete agreement between the 28-d diet and the urine estimation. Urine nitrogen underestimated intake at higher levels of protein intake and overestimated at lower levels, but a constant factor for fecal and skin losses can be used to counteract this, and output from urine can be expressed as a ratio of intake, 0.81 (7). Although this study was based on results from a comparatively small group, a later meta-analysis of a large set of data has confirmed that urine nitrogen should be
80% of dietary intake on average (8). However agreement between individual estimates of usual protein intake and the 24-h urine-nitrogen output are not as good if fewer observations on each individual are made and if the collections are not verified for their completeness.
| Number of days of recording intake or excretion required for characterization of an individual |
|---|
|
|
|---|
| Verification of the completeness of 24-h urine collections |
|---|
|
|
|---|
23% in a mixed population, which is again similar to total nitrogen (9). Two external makers are in use to verify the completeness of 24-h urine collections. Lithium is completely absorbed and excreted and has been used, for example, to assess sodium consumption when sodium is added as cooking or table salt (11). Lithium can also be used to assess the completeness of 24-h urine collections, although the salt does have to be given to subjects every day some days before the intended 24-h urine collection so that equilibrium can be achieved.
Para-aminobenzoic acid (PABA)3 is actively absorbed and excreted, so it can be used to check on the day of the 24-h collection to verify completeness (10). The method consists of three 80-mg tablets of PABA that are taken with meals. This is quantitatively excreted within 24 h, so that single 24-h collections that contain < 85% of the PABA marker can be classified as unsatisfactory either because the tablets have not been taken or because one or more specimens were omitted from the collection. There is a systematic difference, particularly in urea and total nitrogen, between collections that are deemed complete by the PABA method and ones that contain < 85% of the PABA marker (9,10). Omission of such a marker therefore causes underestimation of 24-h urine nitrogen or urea output and contributes to the poor agreement between estimates of usual intake, diet and estimates of 24-h urine output. PABA has been used extensively in methodological studies carried out in the U.K. (1216), Italy (17), France (18), the U.S.A. (19 and unpublished data, A.T. Subar et al. 2002), Denmark (20) and Germany (21).
| Partial 24-h urine collections |
|---|
|
|
|---|
To investigate the possibility that repeat overnight collections would improve comparisons between dietary nitrogen intake and nitrogen from partial urine collections, 39 men were asked to keep an overnight urine collection immediately before making a 24-h collection on eight occasions. The correlation between the mean nitrogen excretion from eight collections and the excretion from a single 24-h collection was 0.692, whereas the correlation between eight 24-h collections and a single overnight collection was 0.285 and with repeat overnight collections was 0.297 (unpublished data, C. Kehoe, University of Ulster at Coleraine, 1993). Even repeat overnight collections cannot replace the necessity for full 24-h urine collections, and a single collection is better than none if several cannot be obtained from each individual in validation studies.
| Use of 24-h urine nitrogen to assess underreporting in individual dietary assessments |
|---|
|
|
|---|
In a study of the validity of different methods of dietary assessment, 160 women were studied at home on four occasions (seasons) over the course of 1 y. At each season, the participants were asked to complete 4 d of weighed-food records. The volunteers were also asked to provide two 24-h urine collections on each occasion so that over the year each individual provided 16 d of weighed dietary records and eight 24-h urine collections (15). The completeness of the urine collections was assessed using the PABAcheck method, and only those that were complete were used to validate the dietary assessments. Average nitrogen intake from the 16-d weighed records was 11.2 ± 2.3 g nitrogen/d and that from nitrogen excretion in the complete 24-h urine was 9.84 ± 1.78 g nitrogen/d, so that the average ratio of urine nitrogen to dietary nitrogen was 0.91 ± 0.09. This was greater than the ratio of 0.81 ± 0.05 that would be expected if the average results from all individuals were valid (15).
To determine which if any of the individual results were valid, the ratio of urine nitrogen to dietary nitrogen was sorted, and data were examined as quintiles of the distribution of the urine nitrogen/diet nitrogen ratio. Means of this ratio ranged from 0.76 in the lower quintile of the distribution to 1.13 in the upper quintile. Examination of correlations between urine and dietary nitrogen, ratios of energy intake to basal metabolic rate (BMR), correlations of the energy intake/BMR ratio with the urine nitrogen/diet nitrogen ratio, body mass index (BMI) and body weight indicated that mean values from the 20% of the individuals assigned to the top quintile were different from data from the 80% of the individuals assigned to the other four quintiles (15).
All data were therefore considered separately for individuals in the top quintile and for individuals in the other four quintiles of the distribution in the urine nitrogen/diet nitrogen ratio. Not only were individuals in the top quintile heavier with a lower energy intake/BMR ratio than the others, but their intakes of energy and all energy-yielding nutrients calculated from weighed records were significantly lower than those from individuals in the other quintiles. On average there was an 18-g difference in reported fat consumption and a 27-g difference in reported sugar consumption between the average values reported in the top and the other four quintiles according to the urine nitrogen/diet nitrogen ratio. Mean consumption of cakes, breakfast cereals, milk, eggs, fats and sugars was also significantly lower in those individuals classified in the top quintile of the distribution. However there was no difference in reported consumption of meat, fruits, vegetables and potatoes between these underreporters and the other 80% of the population who gave valid records, nor were there differences in vitamin C or carotene. Underreporting did not seem to be limited to weighed records, because reported intakes of energy and energy-yielding nutrients by these individuals were as likely when they used another dietary assessment method, a food-frequency questionnaire (FFQ) (15).
| Correlations between urine nitrogen and dietary nitrogen from different methods of dietary assessments |
|---|
|
|
|---|
|
| Analysis of measurement error in individual estimates |
|---|
|
|
|---|
In a recent study to assess the accuracy of methods in the European Prospective Investigation into Cancer (EPIC) U.K. cohorts, repeat biomarker estimates were also obtained from EPIC participants over a 9-mo period. Urinary nitrogen was estimated from 26 complete 24-h urine collections in 134 subjects. PABA was used to verify the completeness of the 24-h urine collections. Subjects completed two FFQ and two 7-d food diaries, and the second diary and FFQ were sent at varying times over the course of the study. The 24-h urine samples were not collected during the time that subjects were recording their dietary intake, which made it more likely that any errors between the dietary method and biomarker were completely independent of one another. In both men and women, results calculated from the 7-d food diary were much closer to estimates of output from urinary nitrogen than those calculated from the FFQ; see Table 1 (29).
The design of this study also allowed error-variance analysis to be conducted from the repeated dietary intake measures and the repeated urine collections. Marked differences in error variances associated with the different dietary assessments were shown. The most accurate method, the 7-d food diary, had substantially less error variance than the FFQ. Using the urine nitrogen as an index of true intake, the correction factors for measurement error of relative risk estimates from the dietary assessment methods could be estimated. Correction factors for regression dilution from the food diary were only 2.0, whereas those for the FFQ were too large to use with confidence: 9.0 for nitrogen. Furthermore the confidence limits around these estimates for the FFQ became impossibly wide: 1.716.2 (31).
| Use of 24-h urine nitrogen for calibration of dietary assessments |
|---|
|
|
|---|
| Other biomarkers for protein intake and future research |
|---|
|
|
|---|
Future research for the purpose of validating dietary assessments requires the development of a greater variety of nutritional biomarkers of diet that reflect a wide selection of food items for which extensive food-composition data should exist and that include markers for fat and carbohydrate. It is unlikely that other biomarkers will replace nitrogen for the purpose of validation of dietary intake of protein. Excretion of 3-methylhistidine in 24-h urine has been suggested as a marker of meat consumption, because this amino acid is released and excreted in urine after muscle-protein breakdown. However 3-methylhistidine is insufficiently accurate to use for validation purposes due to the high and variable baseline excretion, which depends on body muscle mass. Correlations between intake and excretion were poor in one comparison (34). Excretion of 1-methylhistidine varies according to the type of meat eaten (beef, pork or chicken), and there is a dose response over a range of 100300-g meats (35).
| FOOTNOTES |
|---|
3 Abbreviations used: BMI, body mass index; BMR, basal metabolic rate; EPIC, European Prospective Investigation into Cancer; FFQ, food frequency questionnaire; PABA, para-aminobenzoic acid; PABAcheck, test for completeness of urine collection (Laboratory for Applied Biology, London). ![]()
| LITERATURE CITED |
|---|
|
|
|---|
1. Denis, W. & Borgstrom, P. (1924) A study of the effect of temperature on protein intake. J. Biol. Chem. 61: 109116.
2. Isaksson, B. (1980) Urinary nitrogen as a validity test in dietary surveys. Am. J. Clin. Nutr. 33: 412.
3. Van Staveren, W. A., de Boer, J. A. & Burema, J. (1985) Validity of the dietary history method. Am. J. Clin. Nutr. 42: 554559.
4. Steen, B., Isaksson, B. & Svanborg, A. (1977) Intake of energy and nutrients and meal habits in 70 year old males and females in Gothenburg, Sweden: a population study. Acta Med. Scand. Suppl. 611: 3986.[Medline]
5. Warnold, I., Carlgren, G. & Krotkiewski, M. (1978) Energy expenditure and body composition during weight reduction in hyperplastic obese women. Am. J. Clin. Nutr. 31: 750763.
6. Bingham, S. A. (1987) The dietary assessment of individuals: methods, accuracy, new techniques and recommendations. Nutr. Abstr. Rev. 57: 705742.
7. Bingham, S. A. & Cummings, J. H. (1985) The use of urine nitrogen as an independent validatory measure of protein intake: a study of nitrogen balance in individuals consuming their normal diet. Am. J. Clin. Nutr. 42: 12761289.
8. Kipnis, V., Midthune, D., Freedman, L. S., Bingham, S. A., Schatzkin, A. & Carroll, R. J. (2001) Empirical evidence of correlated biases in dietary assessment instruments and its implications. Am. J. Epidemiol. 153: 394403.
9. Bingham, S. A., Williams, D. R. R., Cole, T. J., Price, C. P. & Cummings, J. H. (1988) Reference values for analytes of 24 h urine samples known to be complete. Ann. Clin. Biochem. 25:610619.
10. Bingham, S. A. & Cummings, J. H. (1983) 4 amino benzoic acid as a marker for the assessment of completeness of 24 hour urine collections. Clin. Sci. 64: 629635.[Medline]
11. Sanchez-Castillo, C. P., Branch, W. J. & James, W. P. T. (1987) A test of the validity of the lithium-marker technique for monitoring dietary sources of salt in man. Clin. Sci. 72: 8794.[Medline]
12. Black, A. E., Jebb, S. A., Bingham, S. A., Runswick, S. & Poppitt, S. (1994) The validation of energy and protein intakes in post-obese subjects. J. Hum. Nutr. Diet. 8: 5164.
13. Vorster, H., Jerling, J., Oosthuisen, W., Cummings, J., Bingham, S., Magee, L., Mulligan, A. & Runswick, S. (1995) Tea drinking and haemostasis. Haemostasis 26: 5864.
14. Hughes, J. M., Smithers, G., Gay, C., Clarke, P., Smith, P., Lowe, C. & Prentice, A. (1995) Survey of people aged 65 years and over: protocol and feasibility study. Proc. Nutr. Soc. 54: 631643.[Medline]
15. Bingham, S. A., Cassidy, A., Cole, T., Welch, A., Runswick, S., Black, A. E., Thurnham, D., Bates, C. E., Cassidy, A., Khaw, K. T. & Day, N. E. (1995) Validation of weighed records and other methods of dietary assessment using the 24 h urine technique and other biological markers. Br. J. Nutr. 73: 531550.[Medline]
16. O'Donnell, M. G., Nelson, M., Wise, P. H. & Walker, D. M. (1991) A computerized diet questionnaire for use in health education. Br. J. Nutr. 66: 315.[Medline]
17. Leclerq, C., Maiani, G., Polito, A. & Ferro-Luzzi, A. (1991) Use of the PABA test to check completeness of 24 h urine collections in elderly subjects. Nutrition 7: 350354.[Medline]
18. Gerber, M., Hubert, A., Dolques, V., Teisson, C., Astre, C., Segala, C., Stoebner, A. & Daures, J. (1993) Quality control in nutritional epidemiology. Eur. J. Clin. Nutr. 47(suppl. 2):(abs.).
19. Fong, A. & Kretch, M. (1994) Urinary nitrogen as a reliable indicator of usual dietary nitrogen intake. Am. J. Clin. Nutr. 57: 300S (abs.).
20. Heitman, B. L. & Lissner, L. (1995) Dietary underreporting by obese individuals: is it specific or non-specific? Br. Med. J. 311: 986989.
21. Kroke, A., Klipstein, A., Grobusch, K., Voss, S., Möseneder, J., Thielecke, F., Noack, R. & Boeing, H. (1999) Validation of a self-administered food-frequency questionnaire administered in the European Prospective Investigation into Cancer and Nutrition (EPIC) Study: comparison of energy protein and macronutrient intakes estimated with the doubly labeled water urinary nitrogen and repeated 24-h dietary recall methods. Am. J. Clin. Nutr. 70: 439447.
22. Ogawa, M. (1986) Feasibility of overnight urine for assessing dietary intakes of sodium potassium protein in filed studies. Jpn. Circ. J. 50: 595600.[Medline]
23. Yamori, Y., Kihara, M., Fujikawa, J., Soh, Y., Nara, Y., Ohtaka, M., Horie, R., Tsunematsu, T., Note, S. & Fukase, M. (1982) Dietary risk factors for stroke and hypertension in Japan, part 1: methodological assessment of urinalysis for dietary salt and protein intakes. Jpn Circ. J. 46: 933938.[Medline]
24. Black, A. E., Welch, A. A. & Bingham, S. A. (2000) Validation of dietary intakes measured by diet history against 24 h urinary nitrogen excretion and energy expenditure measured by the doubly-labelled water method in middle-aged women. Br. J. Nutr. 83: 341354.[Medline]
25. Bingham, S. & Day, N. E. (1997) Using biochemical markers to assess the validity of prospective dietary assessment methods and the effect of energy adjustment. Am. J. Clin. Nutr. 65(suppl. 4): 1130S1137S.
26. Porrini, M., Gentile, M. G. & Fidanza, F. (1995) Biochemical validation of a self administered FFQ. Br. J. Nutr. 74: 323333.[Medline]
27. Ocke, M. (1996) Assessment of Vegetable Fruit and Antioxidant Vitamin Intake in Cancer Epidemiology. Ph.D. thesis, University of Wageningen, The Netherlands.
28. Rothenberg, E. (1994) Validation of the FFQ with the 4 day record method and analysis of 24 h urinary nitrogen. Eur. J. Clin. Nutr. 48: 725735.[Medline]
29. McKeown, N. M., Welch, A. M., Runswick, S. A., Luben, R., Mulligan, A., McTaggart, A., Day, N. E. & Bingham, S. A. (2001) The use of biological markers to validate self reported dietary intake in a random sample of the European Prospective Investigation into Cancer United Kingdom cohort. Am. J. Clin. Nutr. 74: 188196.
30. Kipnis, V., Carroll, R. J., Freedman, L. S. & Li, L. (1999) Implications of a new dietary measurement error model for estimation of relative risk. Am. J. Epidemiol. 150: 642651.
31. Day, N. E., McKeown, N., Wong, M. Y., Welch, A. & Bingham, S. (2001) Epidemiological assessment of diet: a comparison of a 7 day diary with a food frequency questionnaire. Int. J. Epidemiol. 30: 309317.
32. Kaaks, R. & Riboli, E. (1997) Validation and calibration of dietary intake measurements in the EPIC project: methodological considerations. Int. J. Epidemiol. 26(suppl. 1): S15S25.
33. Slimani, N., Deharveng, G., Charrondière, R. U., van Kappel, A. L., Ocké, M. C., Welch, A., Lagiou, A., van Liere, M., Agudo, A., Pala, V., Brandstetter, B., Andren, C., Stripp, C., van Staveren, W. A. & Riboli, E. (1999) Structure of the standardized computerized 24-h diet recall interview used as reference method in the 22 centers participating in the EPIC project. European Prospective Investigation into Cancer and Nutrition. Comput. Methods Programs Biomed. 58: 251266.[Medline]
34. Jacobson, E. A., Newmark, H. L., McKeown-Eyssen, G. & Bruce, W. R. (1983) Excretion of 3 methyl histidine as an estimate of meat consumption. Nutr. Rep. Int. 27: 689697.
35. Sjolin, J., Hjort, G., Friman, G. & Hambraeus, L. (1987) Urinary excretion of 1-methyl histidine. Metabolism 36: 11751184.[Medline]
This article has been cited by other articles:
![]() |
H. Fouillet, B. Juillet, C. Bos, F. Mariotti, C. Gaudichon, R. Benamouzig, and D. Tome Urea-nitrogen production and salvage are modulated by protein intake in fed humans: results of an oral stable-isotope-tracer protocol and compartmental modeling Am. J. Clinical Nutrition, June 1, 2008; 87(6): 1702 - 1714. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. L. Neuhouser, L. Tinker, P. A. Shaw, D. Schoeller, S. A. Bingham, L. V. Horn, S. A. A. Beresford, B. Caan, C. Thomson, S. Satterfield, et al. Use of Recovery Biomarkers to Calibrate Nutrient Consumption Self-Reports in the Women's Health Initiative Am. J. Epidemiol., May 15, 2008; 167(10): 1247 - 1259. [Abstract] [Full Text] [PDF] |
||||
![]() |
D. C. Greenwood, J. K. Ransley, M. S. Gilthorpe, and J. E. Cade Use of Itemized Till Receipts to Adjust for Correlated Dietary Measurement Error Am. J. Epidemiol., November 15, 2006; 164(10): 1012 - 1018. [Abstract] [Full Text] [PDF] |
||||
![]() |
N. Tasevska, S. A. Runswick, and S. A. Bingham Urinary Potassium Is as Reliable as Urinary Nitrogen for Use as a Recovery Biomarker in Dietary Studies of Free Living Individuals J. Nutr., May 1, 2006; 136(5): 1334 - 1340. [Abstract] [Full Text] [PDF] |
||||
![]() |
N. Potischman and J. L. Freudenheim Biomarkers of Nutritional Exposure and Nutritional Status: An Overview J. Nutr., March 1, 2003; 133(3): 873S - 874. [Full Text] [PDF] |
||||
![]() |
M. B. E. Livingstone and A. E. Black Markers of the Validity of Reported Energy Intake J. Nutr., March 1, 2003; 133(3): 895S - 920. [Abstract] [Full Text] [PDF] |
||||
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||