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Validation of dietary intakes measured by diet history against24 h urinary nitrogen excretion and energy expenditure measuredby the doubly-labelled water method in middle-aged women

Published online by Cambridge University Press:  09 March 2007

Alison E. Black
Affiliation:
Dunn Clinical Nutrition Centre, Hills Road, Cambridge CB2 2DH, UK
Ailsa A. Welch*
Affiliation:
Dunn Clinical Nutrition Centre, Hills Road, Cambridge CB2 2DH, UK
*
Corresponding author: Ailsa Welch, present address: EPIC, Strangeways Research Laboratory, Worts Causeway, Cambridge CB1 8RN, UK, fax +44 (0)1223 740 177, email [email protected]
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Abstract

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A diet history method for estimating energy and N intakes was validated against 24 h urinary N excretion and energy expenditure measured by the doubly-labelled water (DLW) method. Forty-eight women aged 50–65 years were studied over 1 year. Weighed diet records from 4 d and two 24 h urine collections, for measurement of urinary N excretion, were obtained in each of four seasons. At the end of the year, a diet history was obtained, BMR was measured by whole-body calorimetry, and, in sixteen women, total energy expenditure (EE) was measured by DLW. Energy intake (EI) and N intake (NI) were calculated using food tables. Using weighed records and diet history respectively mean NI were 11·21 (SD 2·09) G AND 11·47 (sd 2·40) g (NS) and EI were 8·08 (sd 1·54) MJ and 8·20 (sd 1·86) MJ (NS). Mean urine N : NI and EI : BMR values indicated bias to under-reporting by weighed record and diet history techniques in some individuals, but there was no significant difference between these measures at the group level. The Pearson correlation coefficient (r) for urine N v. NI was 0·81 for the weighed record and 0·38 for the diet history. The correlation of EE v. EI was r 0·48 for weighed record and r 0·11 for diet history. In this study the diet history gave the same estimate of mean intake, but the weighed record appeared to perform better in ranking individuals.

Type
Research Article
Copyright
Copyright © The Nutrition Society 2000

References

Ballard-Barbash, R, Graubard, I, Krebs-Smith, SM, Schatzkin, A and Thompson, FE (1996) Contribution of dieting to the inverse association between energy intake and body mass index. European Journal of Clinical Nutrition 50, 98106.Google Scholar
Beaton, GH (1991) Interpretation of results from diet history studies. In The Diet History Method. Proceedings of the 2nd Berlin Meeting on Nutritional Epidemiology, pp. 1538 [Kohlmeier, L, editor]. London: Smith-Gordon.Google Scholar
Bingham, S (1987) The dietary assessment of individuals: methods, accuracy, new techniques and recommendations. Nutrition Abstracts and Reviews 57, 705742.Google Scholar
Bingham, SA, Cassidy, A, Cole, TJ, Welch, A, Runswick, S, Black, AE, Thurnham, D, Bates, CJ, Khaw, KT, Key, TJA and Day, NE (1995) Validation of weighed records and other methods of dietary assessment using the 24 h urine nitrogen technique and other biological markers. British Journal of Nutrition 73, 531550.CrossRefGoogle ScholarPubMed
Bingham, S and Cummings, JH (1983) The use of 4-amino benzoic acid as a marker to validate the completeness of 24-h urine collections in man. Clinical Science 64, 629635.CrossRefGoogle Scholar
Bingham, SA and Cummings, JH (1985) Urine nitrogen as an independent validatory measure of dietary intake. American Journal of Clinical Nutrition 42, 12761289.CrossRefGoogle ScholarPubMed
Bingham, SA, Gill, C, Welch, A, Cassidy, A, Runswick, S, Oakes, S, Lubin, R, Thurnham, DI, Key, TJA, Roe, LKhaw, K-T and Day, NE (1997) Validation of dietary assessment methods in the UK arm of EPIC using weighed records and 24-hour urinary nitrogen and potassium and serum vitamin C and carotenoids as biomarkers. International Journal of Epidemiology 26, S137S151.CrossRefGoogle ScholarPubMed
Bingham, SA, Gill, C, Welch, A, Day, K, Cassiday, A, Khaw, KT, Sneyd, MJ, Key, TJA, Roe, L and Day, NE (1994) Comparison of dietary assessment methods in nutritional epidemiology: weighed records v. 24 h recalls, food frequency questionnaires and estimated diet records. British Journal of Nutrition 72, 619643.CrossRefGoogle ScholarPubMed
Bingham, SA, Wiggins, HS, Englyst, HSeppanen, R, Helms, P, Strand, R, Burton, RJørgenson, IM, Poulsen, L, Paerregaard, A, Bjerrum, L and James, WPT (1982) Methods and validity of dietary assessments in four Scandinavian populations. Nutrition and Cancer 4, 2332.CrossRefGoogle ScholarPubMed
Black, AE (1996) Physical activity levels (PAL) from a meta-analysis of doubly labelled water studies for validating energy intake as measured by dietary assessment. Nutrition Reviews 54, 170174.CrossRefGoogle Scholar
Black, AE (1999) Small eaters or under-reporters? In Progress in Obesity Research, pp. 223228 [Ailhaud, G and Guy-Grand, B, editors]. Paris: John Libbey.Google Scholar
Black, AE (2000) Within- and between-subject variation in energy expenditure measured by doubly-labelled water: implications for assessing the validity of reported dietary energy intake European Journal of Clinical Nutrition.CrossRefGoogle Scholar
Black, AE (2000) The sensitivity and specificity of the Goldberg cut-off for EI : BMR for identifying dietary reports of poor validity European Journal of Clinical Nutrition.CrossRefGoogle Scholar
Black, AE, Bingham, SA, Johansson, G and Coward, WA (1997) Validation of dietary intakes of protein and energy against 24 hour urinary N and DLW energy expenditure in middle aged women and retired men: comparison with validation against presumed energy requirements. European Journal of Clinical Nutrition 51, 405413.CrossRefGoogle ScholarPubMed
Black, AE, Coward, WA, Cole, TJ and Prentice, AM (1996) Human energy expenditure in affluent societies: analysis of 574 doubly-labelled water measurements. European Journal of Clinical Nutrition 50, 7292.Google ScholarPubMed
Black, AE, Goldberg, GR, Jebb, SA, Livingstone, MBE and Prentice, AM (1991) Critical evaluation of energy intake data using fundamental principles of energy physiology: 2. Evaluating the results of dietary surveys. European Journal of Clinical Nutrition 45, 583599.Google Scholar
Black, AE, Prentice, AM and Coward, WA (1986) Use of food quotients to predict respiratory quotients for the doubly-labelled water method of measuring energy expenditure. Human Nutrition: Clinical Nutrition 40C, 381391.Google Scholar
Braam, L, Ocke, MCBueno de Mesquita, HB and Seidell, JC (1998) Determinants of obesity-related underreporting of energy intake. American Journal of Epidemiology 147, 10811086.CrossRefGoogle ScholarPubMed
Braddon, F, Wadsworth, M, Davies, J and Cripps, H (1988) Social and regional differences in food and alcohol consumption and their measurement in a national birth cohort. Journal of Epidemiology and Community Health 42, 341349.CrossRefGoogle Scholar
Briefel, RR, Sempos, CT, McDowell, MA, Chien, S and Alaimo, K (1997) Dietary methods research in the third National Health and Nutrition Examination Survey: under-reporting of energy intake. American Journal of Clinical Nutrition 65(Suppl.), 1203S-1209S.CrossRefGoogle Scholar
Coward, WA (1988) The doubly labelled-water (2H218O) method: principles and practice. Proceedings of the Nutrition Society 47, 209218.CrossRefGoogle ScholarPubMed
Crawley, H (1988) Food Portion Sizes. London: H.M. Stationery Office.Google Scholar
Fogelholm, MMannisto, S, Vartiainen, E and Pietinen, P (1996) Determinants of energy balance and overweight in Finland 1982 and 1992. International Journal of Obesity 20, 10971104.Google ScholarPubMed
Gnardellis, C, Boulou, C and Trichopolou, A (1998) Magnitude, determinants and impact of under-reporting of energy intake in a cohort study of Greece. Public Health Nutrition 1, 131137.CrossRefGoogle Scholar
Goldberg, GR, Black, AE, Jebb, SA, Cole, TJ, Murgatroyd, PR, Coward, WA and Prentice, AM (1991) Critical evaluation of energy intake data using fundamental principles of energy physiology. 1. Derivation of cut-off values to identify under-recording. European Journal of Clinical Nutrition 45, 569581.Google Scholar
Heitmann, BL (1993) The influence of fatness, weight change, slimming history and other lifestyle variables on diet reporting in adult Danish men and women aged 35–65 years. International Journal of Obesity 17, 329336.Google ScholarPubMed
Heywood, P, Harvey, PJW and Marks, GC (1993) An evaluation of energy intake in the 1983 Australian National Dietary Survey of Adults. European Journal of Clinical Nutrition 47, 604606.Google Scholar
Holland BUnwin, ID & Buss, DH (1988) Cereals and Cereal Products. Third Supplement to McCance and Widdowson's The Composition of Foods (4th edition). Nottingham and London: The Royal Society of Chemistry and Ministry of Agriculture, Fisheries and Food.Google Scholar
Holland BUnwin, ID & Buss, DH (1989) Milk Products and Eggs. Fourth Supplement to McCance and Widdowson's The Composition of Foods (4th edition). Cambridge and London: The Royal Society of Chemistry and Ministry of Agriculture, Fisheries and Food.Google Scholar
Hultén, B, Bengtsson, C and Isaksson, B (1990) Some errors inherent in a longitudinal dietary survey revealed by the urine nitrogen test. European Journal of Clinical Nutrition 44, 169174.Google Scholar
Isaksson, B (1980) Urinary nitrogen output as a validity test in dietary surveys. American Journal of Clinical Nutrition 33, 45.CrossRefGoogle ScholarPubMed
Johnson, RK, Soultanakis, RP and Matthews, DE (1998) Literacy and body fatness are associated with underreporting of energy intake in US low-income women using the multiple-pass 24-hour recall; a doubly labeled water study. Journal of the American Dietetic Association 98, 11361140.CrossRefGoogle ScholarPubMed
Klesges, RC, Eck, LH and Ray, JW (1995) Who underreports dietary intake in dietary recall? Evidence from the second National Health and Nutrition Examination Survey. Journal of Consulting and Clinical Psychology 63, 438444.CrossRefGoogle ScholarPubMed
Kortzinger, I, Bierwag, A, Mast, M and Muller MJ (1997) Dietary underreporting: validity of dietary measurements of energy intake using a 7-day dietary record and a diet history in non-obese subjects. Annals of Nutrition and Metabolism 41, 3744.CrossRefGoogle Scholar
Lafay, L, Basdevant, ACharles, M-A, Vray, M, Balkau, B, Borys, J-M, Eschwege, E and Romon, M (1997) Determinants and nature of dietary underreporting in a free-living population: the Fleurbaix Laventie Ville-Santé (FLVS) Study. International Journal of Obesity 27, 567573.CrossRefGoogle Scholar
Lindroos, A-K, Lissner, L and Sjostrom, L (1993) Validity and reproducibility of a self-administered dietary questionnaire in obese and non-obese subjects. European Journal of Clinical Nutrition 47, 461481.Google ScholarPubMed
Livingstone, MBE, Prentice, AM, Coward, WA, Strain, JJ, Black, AE, Davies, PSW, Stewart, CMMcKenna, PG and Whitehead, RG (1992) Validation of estimates of energy intake by weighed dietary record and diet history in children and adolescents. American Journal of Clinical Nutrition 56, 2935.CrossRefGoogle ScholarPubMed
Paul, AA & Southgate, DAT (1978) McCance and Widdowson's The Composition of Foods. London: H.M. Stationery Office.Google Scholar
Petersen, MA, Haraldsdóttir, J, Hansen, HB, Jensen, H and Sandstrom, B (1992) A new simplified dietary history method for measuring intake of energy and macronutrients. European Journal of Clinical Nutrition 46, 551559.Google ScholarPubMed
Price, GM, Paul, AA, Cole, TJ and Wadsworth, MEJ (1997) Characteristics of the low-energy reporters in a longitudinal national dietary survey. British Journal of Nutrition 77, 833851.CrossRefGoogle Scholar
Price, GM, Paul, AA, Key, FB, Harter, AC, Cole, TJ, Day, KC and Wadsworth, MEJ (1996) Measurement of diet in a large national survey: comparison of computerized and manual coding of records in household measures. Journal of Human Nutrition and Dietetics 8, 417428.CrossRefGoogle Scholar
Pryer, J, Vrijheid, M, Nichols, R, Kiggins, M and Elliott, P (1997) Who are the 'Low energy reporters' in the dietary and nutritional survey of British adults?. International Journal of Epidemiology 26, 146154.CrossRefGoogle ScholarPubMed
Rothenberg, E, Bosaeus, I, Lernfelt, B, Landahl, S and Steen, B (1998) Energy intake and expenditure: validation of a diet history by heart rate monitoring, activity diary and doubly labelled water. European Journal of Clinical Nutrition 52, 832838.CrossRefGoogle Scholar
Rothenberg, E, Bosaeus, I and Steen, B (1997) Evaluation of energy intake estimated by a diet history in three free-living 70 year old populations in Gothenburg, Sweden. European Journal of Clinical Nutrition 51, 6066.CrossRefGoogle Scholar
Sawaya, AL, Tucker, K, Tsay, R, Willett, W, Saltzman, E, Dallal, GE and Roberts, SB (1996) Evaluation of four methods for determining energy intake in young and older women: comparison with doubly labeled water measurements of total energy expenditure. American Journal of Clinical Nutrition 63, 491499.CrossRefGoogle Scholar
Schofield, W, Schofield, C and James, WPT (1985) Basal metabolic rate — review and prediction, together with an annotated bibliography of source material. Human Nutrition: Clinical Nutrition 39C(Suppl. 1),.Google Scholar
Steen, B, Isaksson, B and Svanborg, A (1977) Intake of energy and nutrients and meal habits in 70 year old males and females in Gothenborg, Sweden: a population study. Acta Medica Scandinavica 611 (Suppl.), 3986.CrossRefGoogle Scholar
Tarasuk, V and Beaton, GH (1991) The nature and individuality of within-subject variation in energy intake. American Journal of Clinical Nutrition 54, 464470.CrossRefGoogle ScholarPubMed
van Staveren, WA, de Boer, JO and Burema, J (1985) Validity and reproducibility of a dietary history method estimating the usual food intake during one month. American Journal of Clinical Nutrition 42, 554559.CrossRefGoogle ScholarPubMed
van Staveren, WA, West, CE, Hoffmans, M, Bos, P, Kardinaal, A, van Poppel, GAF, Schipper HJ-A, Hautvast, J and Hayes, R (1986) Comparison of contemporaneous and retrospective estimates of food consumption made by a dietary history method. American Journal of Epidemiology 123, 884893.CrossRefGoogle ScholarPubMed
Visser, M, de Groot, LCPMG, Deurenburg, P and van Staveren, WA (1995) Validation of dietary history method in a group of elderly women using measurements of total energy expenditure. British Journal of Nutrition 74, 775785.Google Scholar
Voss, S, Kroke, A, Klipstein Grobusch, K and Boeing, H (1998) Is macronutrient composition of dietary intake data affected by underreporting? Results from the EPIC-Potsdam study. European Journal of Clinical Nutrition 52, 119126.CrossRefGoogle ScholarPubMed
Wiles, SJ, Nettleton, PA, Black, AE and Paul, AA (1980) The nutrient composition of some cooked dishes eaten in Britain: a supplementary food composition table. Journal of Human Nutrition 34, 241248.Google Scholar
Willett, WC, Sampson, L, Stampfer, MJ, Rosner, B, Bain, C, Witsch, J, Hennekens, CH and Speizer, FE (1985) Reproducibility and validity of a semiquantitative food frequency questionnaire. American Journal of Epidemiology 122, 5165.CrossRefGoogle ScholarPubMed