Validation of protein intake assessed from weighed dietary records against protein estimated from 24 h urine samples in children, adolescents and young adults participating in the Dortmund Nutritional and Longitudinally Designed (DONALD) Study

Bokhof B, Guenther ALB, Berg-Beckhoff G, Kroke A, Buyken AE (2010)
PUBLIC HEALTH NUTRITION 13(06): 826-834.

Download
Es wurde kein Volltext hochgeladen. Nur Publikationsnachweis!
Zeitschriftenaufsatz | Veröffentlicht | Englisch
Autor
; ; ; ;
Abstract / Bemerkung
Objective. To date, only a few nutritional assessment methods have been validated against the biomarker of urinary-N excretion for use in children and adolescents. The aim of the present study was to validate protein intake from one day of a weighed dietary record against protein intake estimated from a simultaneously collected 24 h urine sample. Design: Cross-sectional analyses including 439 participants of the Dortmund Nutritional and Longitudinally Designed (DONALD) Study from four age groups (3-4, 7-8, 11-13 and 18-23 years). Mean differences, Pearson correlation coefficients (r), cross-classifications and Bland-Altman plots were used to assess agreement between methods. Results: Weighed dietary records significantly underestimated mean protein intake by -6.4 (95% CI -8.2, -4.7) g/d or -11%, with the difference increasing across the age groups from -0.6(95% CI -2.7, 1.5) g/d at age 3-4 years to -135(95% CI -18.7, -8.3)g/d at age 18-23 years. Correlation coefficients were r=0.7 for the total study sample and ranged from r=0.5 to 0.6 in the different age groups. Both methods classified 85% into the same/adjacent quartile for the whole study group (83-86% for the different age groups) and 2.5% into the opposite quartile (1.9-3.1% for the different age groups). Bland-Altman plots for the total sample indicated that differences in protein intake increased across the range of protein intake, while this bias was not obvious within the age groups. Conclusions: Protein intake in children and adolescents can be estimated with acceptable validity by weighed dietary records. In this age-heterogeneous sample, validity was lower among adolescents and young adults.
Erscheinungsjahr
Zeitschriftentitel
PUBLIC HEALTH NUTRITION
Band
13
Ausgabe
06
Seite(n)
826-834
ISSN
eISSN
PUB-ID

Zitieren

Bokhof B, Guenther ALB, Berg-Beckhoff G, Kroke A, Buyken AE. Validation of protein intake assessed from weighed dietary records against protein estimated from 24 h urine samples in children, adolescents and young adults participating in the Dortmund Nutritional and Longitudinally Designed (DONALD) Study. PUBLIC HEALTH NUTRITION. 2010;13(06):826-834.
Bokhof, B., Guenther, A. L. B., Berg-Beckhoff, G., Kroke, A., & Buyken, A. E. (2010). Validation of protein intake assessed from weighed dietary records against protein estimated from 24 h urine samples in children, adolescents and young adults participating in the Dortmund Nutritional and Longitudinally Designed (DONALD) Study. PUBLIC HEALTH NUTRITION, 13(06), 826-834. doi:10.1017/S136898000999317X
Bokhof, B., Guenther, A. L. B., Berg-Beckhoff, G., Kroke, A., and Buyken, A. E. (2010). Validation of protein intake assessed from weighed dietary records against protein estimated from 24 h urine samples in children, adolescents and young adults participating in the Dortmund Nutritional and Longitudinally Designed (DONALD) Study. PUBLIC HEALTH NUTRITION 13, 826-834.
Bokhof, B., et al., 2010. Validation of protein intake assessed from weighed dietary records against protein estimated from 24 h urine samples in children, adolescents and young adults participating in the Dortmund Nutritional and Longitudinally Designed (DONALD) Study. PUBLIC HEALTH NUTRITION, 13(06), p 826-834.
B. Bokhof, et al., “Validation of protein intake assessed from weighed dietary records against protein estimated from 24 h urine samples in children, adolescents and young adults participating in the Dortmund Nutritional and Longitudinally Designed (DONALD) Study”, PUBLIC HEALTH NUTRITION, vol. 13, 2010, pp. 826-834.
Bokhof, B., Guenther, A.L.B., Berg-Beckhoff, G., Kroke, A., Buyken, A.E.: Validation of protein intake assessed from weighed dietary records against protein estimated from 24 h urine samples in children, adolescents and young adults participating in the Dortmund Nutritional and Longitudinally Designed (DONALD) Study. PUBLIC HEALTH NUTRITION. 13, 826-834 (2010).
Bokhof, Beate, Guenther, Anke L. B., Berg-Beckhoff, Gabriele, Kroke, Anja, and Buyken, Anette E. “Validation of protein intake assessed from weighed dietary records against protein estimated from 24 h urine samples in children, adolescents and young adults participating in the Dortmund Nutritional and Longitudinally Designed (DONALD) Study”. PUBLIC HEALTH NUTRITION 13.06 (2010): 826-834.

12 Zitationen in Europe PMC

Daten bereitgestellt von Europe PubMed Central.

Prospective relevance of dietary patterns at the beginning and during the course of primary school to the development of body composition.
Diethelm K, Günther AL, Schulze MB, Standl M, Heinrich J, Buyken AE., Br J Nutr 111(8), 2014
PMID: 24382029
Estimate of dietary phosphorus intake using 24-h urine collection.
Morimoto Y, Sakuma M, Ohta H, Suzuki A, Matsushita A, Umeda M, Ishikawa M, Taketani Y, Takeda E, Arai H., J Clin Biochem Nutr 55(1), 2014
PMID: 25120281
Relative validity of a 3 d estimated food record in German toddlers.
Cheng G, Hilbig A, Drossard C, Alexy U, Kersting M., Public Health Nutr 16(4), 2013
PMID: 22874634
Prospective association of protein intake during puberty with body composition in young adulthood.
Assmann KE, Joslowski G, Buyken AE, Cheng G, Remer T, Kroke A, Günther AL., Obesity (Silver Spring) 21(12), 2013
PMID: 23788493
[The DONALD cohort. An updated overview on 25 years of research based on the Dortmund Nutritional and Anthropometric Longitudinally Designed study].
Buyken AE, Alexy U, Kersting M, Remer T., Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 55(6-7), 2012
PMID: 22736170
Modulation of protein fermentation does not affect fecal water toxicity: a randomized cross-over study in healthy subjects.
Windey K, De Preter V, Louat T, Schuit F, Herman J, Vansant G, Verbeke K., PLoS One 7(12), 2012
PMID: 23285019
Trends in dietary carbohydrate quality during puberty from 1988 to 2007: a cause for concern?
Cheng G, Libuda L, Karaolis-Danckert N, Alexy U, Bolzenius K, Remer T, Buyken AE., Br J Nutr 104(9), 2010
PMID: 20591208

29 References

Daten bereitgestellt von Europe PubMed Central.

Measurement of food intake in children with diabetes mellitus: a comparison of protein intake and urine nitrogen.
Hackett AF, Morton S, McCowen C, Court S, Dickson D, Parkin JM., Diabetes Res. 6(1), 1987
PMID: 3690953

bingham, j nutr 133(), 2003
Longitudinal changes in the accuracy of reported energy intake in girls 10-15 y of age.
Bandini LG, Must A, Cyr H, Anderson SE, Spadano JL, Dietz WH., Am. J. Clin. Nutr. 78(3), 2003
PMID: 12936932

gibson, 2005

livingstone, j nutr 133(), 2003
Underreporting of energy intake in 1 to 18 year old German children and adolescents.
Sichert-Hellert W, Kersting M, Schoch G., Z Ernahrungswiss 37(3), 1998
PMID: 9800315
Macronutrient intake of 1 to 18 year old German children and adolescents.
Kersting M, Sichert-Hellert W, Alexy U, Manz F, Schoch G., Z Ernahrungswiss 37(3), 1998
PMID: 9800316
Establishing a standard definition for child overweight and obesity worldwide: international survey.
Cole TJ, Bellizzi MC, Flegal KM, Dietz WH., BMJ 320(7244), 2000
PMID: 10797032
Perzentile für den Body-mass-Index für das Kindes- und Jugendalter unter Heranziehung verschiedener deutscher Stichproben
Kromeyer-Hauschild, Monatsschrift Kinderheilkunde 149(8), 2001
Can the EPIC food-frequency questionnaire be used in adolescent populations?
Lietz G, Barton KL, Longbottom PJ, Anderson AS., Public Health Nutr 5(6), 2002
PMID: 12570886
Measuring agreement in method comparison studies.
Bland JM, Altman DG., Stat Methods Med Res 8(2), 1999
PMID: 10501650
[What do you eat? Food frequency questionnaire for children and adolescents].
Mensink GB, Burger M., Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 47(3), 2004
PMID: 15205789
Food-frequency questionnaires: a review of their design, validation and utilisation.
Cade JE, Burley VJ, Warm DL, Thompson RL, Margetts BM., Nutrition research reviews. 17(1), 2004
PMID: IND43648753
The DONALD Study. History, current status and future perspectives.
Kroke A, Manz F, Kersting M, Remer T, Sichert-Hellert W, Alexy U, Lentze MJ., Eur J Nutr 43(1), 2004
PMID: 14991269
Validation of weighed records and other methods of dietary assessment using the 24 h urine nitrogen technique and other biological markers.
Bingham SA, Cassidy A, Cole TJ, Welch A, Runswick SA, Black AE, Thurnham D, Bates C, Khaw KT, Key TJ., Br. J. Nutr. 73(4), 1995
PMID: 7794870
Protein requirements of infants and children.
Garlick PJ., Nestle Nutr Workshop Ser Pediatr Program 58(), 2006
PMID: 16902324
German food composition database for dietary evaluations in children and adolescents
Sichert-Hellert W, Kersting M, Chahda C, Schafer R, Kroke A., J Food Compost Anal 20(1), 2007
PMID: IND43852397
[Comparing methods of measurement]
Grouven U, Bender R, Ziegler A, Lange S., Dtsch. Med. Wochenschr. 132 Suppl 1(), 2007
PMID: 17530604
11. Implications of Total Energy Intake for Epidemiologic Analyses
Willett, 1998

Export

Markieren/ Markierung löschen
Markierte Publikationen

Open Data PUB

Web of Science

Dieser Datensatz im Web of Science®

Quellen

PMID: 20074394
PubMed | Europe PMC

Suchen in

Google Scholar