Abstract
Background/Objectives
The aim of the study was to describe a novel dietary assessment strategy based on two instruments complemented by information from an external population applied to estimate usual food intake in the large-scale multicenter German National Cohort (GNC). As proof of concept, we applied the assessment strategy to data from a pretest study (2012–2013) to assess the feasibility of the novel assessment strategy.
Subjects/Methods
First, the consumption probability for each individual was modeled using three 24 h food lists (24h-FLs) and frequencies from one food frequency questionnaire (FFQ). Second, daily consumed food amounts were estimated from the representative German National Nutrition Survey II (NVS II) taking the characteristics of the participants into account. Usual food intake was estimated using the product of consumption probability and amounts.
Results
We estimated usual intake of 41 food groups in 318 men and 377 women. The participation proportion was 100, 84.4, and 68.5% for the first, second, and third 24h-FL, respectively. We observed no associations between the probability of participating and lifestyle factors. The estimated distributions of usual food intakes were plausible and total energy was estimated to be 2707 kcal/day for men and 2103 kcal/day for women. The estimated consumption frequencies did not differ substantially between men and women with only few exceptions. The differences in energy intake between men and women were mostly due to differences in estimated daily amounts.
Conclusions
The combination of repeated 24h-FLs, a FFQ, and consumption-day amounts from a reference population represents a user-friendly dietary assessment approach having generated plausible, but not yet validated, food intake values in the pretest study.
This is a preview of subscription content, access via your institution
Access options
Subscribe to this journal
Receive 12 print issues and online access
$259.00 per year
only $21.58 per issue
Buy this article
- Purchase on SpringerLink
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
Similar content being viewed by others
References
Balogh M, Kahn HA, Medalie JH. Random repeat 24-hour dietary recalls. Am J Clin Nutr. 1971;24:304–10.
Thompson FE, Subar AF, Loria CM, Reedy JL, Baranowski T. Need for technological innovation in dietary assessment. J Am Diet Assoc. 2010;110:48–51.
Kristal AR, Potter JD. Not the time to abandon the food frequency questionnaire: counterpoint. Cancer Epidemiol Biomarkers Prev. 2006;15:1759–60.
Subar AF, Kipnis V, Troiano RP, Midthune D, Schoeller DA, Bingham S, et al. Using intake biomarkers to evaluate the extent of dietary misreporting in a large sample of adults: the OPEN study. Am J Epidemiol. 2003;158:1–13.
Tooze JA, Krebs-Smith SM, Troiano RP, Subar AF. The accuracy of the Goldberg method for classifying misreporters of energy intake on a food frequency questionnaire and 24-h recalls: comparison with doubly labeled water. Eur J Clin Nutr. 2012;66:569–76.
Black AE. Critical evaluation of energy intake using the Goldberg cut-off for energy intake:basal metabolic rate. A practical guide to its calculation, use and limitations. Int J Obes Relat Metab Disord. 2000;24:1119–30.
Freedman LS, Commins JM, Moler JE, Arab L, Baer DJ, Kipnis V, et al. Pooled results from 5 validation studies of dietary self-report instruments using recovery biomarkers for energy and protein intake. Am J Epidemiol. 2014;180:172–88.
Freedman LS, Schatzkin A, Midthune D, Kipnis V. Dealing with dietary measurement error in nutritional cohort studies. J Natl Cancer Inst. 2011;103:1086–92.
Freedman LS, Commins JM, Moler JE, Willett W, Tinker LF, Subar AF, et al. Pooled results from 5 validation studies of dietary self-report instruments using recovery biomarkers for potassium and sodium intake. Am J Epidemiol. 2015;181:473–87.
Kroke A, Klipstein-Grobusch K, Voss S, Moseneder J, Thielecke F, Noack R, et al. 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. 1999;70:439–47.
Tasevska N, Midthune D, Potischman N, Subar AF, Cross AJ, Bingham SA, et al. Use of the predictive sugars biomarker to evaluate self-reported total sugars intake in the Observing Protein and Energy Nutrition (OPEN) study. Cancer Epidemiol Biomarkers Prev. 2011;20:490–500.
Carroll RJ, Midthune D, Subar AF, Shumakovich M, Freedman LS, Thompson FE, et al. Taking advantage of the strengths of 2 different dietary assessment instruments to improve intake estimates for nutritional epidemiology. Am J Epidemiol. 2012;175:340–7.
Illner AK, Harttig U, Tognon G, Palli D, Salvini S, Bower E, et al. Feasibility of innovative dietary assessment in epidemiological studies using the approach of combining different assessment instruments. Public Health Nutr. 2011;14:1055–63.
Illner AK, Nöthlings U, Wagner K, Ward H, Boeing H. The assessment of individual usual food intake in large-scale prospective studies. Ann Nutr Metab. 2010;56:99–105.
Kipnis V, Midthune D, Buckman DW, Dodd KW, Guenther PM, Krebs-Smith SM, et al. Modeling data with excess zeros and measurement error: application to evaluating relationships between episodically consumed foods and health outcomes. Biometrics. 2009;65:1003–10.
Tooze JA, Midthune D, Dodd KW, Freedman LS, Krebs-Smith SM, Subar AF, et al. A new statistical method for estimating the usual intake of episodically consumed foods with application to their distribution. J Am Diet Assoc. 2006;106:1575–87.
Freese J, Feller S, Harttig U, Kleiser C, Linseisen J, Fischer B, et al. Development and evaluation of a short 24-h food list as part of a blended dietary assessment strategy in large-scale cohort studies. Eur J Clin Nutr. 2014;68:324–9.
Ahrens W, Greiser H, Linseisen J, Kluttig A, Schipf S, Schmidt B, et al. The design of a nationwide cohort study in Germany: the pretest studies of the German National Cohort (GNC). Bundesgesundheitsblatt Gesundh Gesundh. 2014;57:1246–54.
German National Cohort Consortium. The German National Cohort: aims, study design and organization. Eur J Epidemiol. 2014;29:371–82.
German Society for Epidemiology (DGEpi). Guidelines and Recommendations to Assure Good Epidemiologic Practice (GEP). 2008. https://www.dgepi.de/assets/Leitlinien-und-Empfehlungen/cec55ccaaa/Recommendations-for-good-Epidemiologic-Practice.pdf.
Noethlings U, Hoffmann K, Bergmann MM, Boeing H. European Investigation into C, Nutrition. Portion size adds limited information on variance in food intake of participants in the EPIC-Potsdam study. J Nutr. 2003;133:510–5.
Heuer T, Krems C, Moon K, Brombach C, Hoffmann I. Food consumption of adults in Germany: results of the German National Nutrition Survey II based on diet history interviews. Br J Nutr. 2015;113:1603–14.
Slimani N, Deharveng G, Charrondiere RU, van Kappel AL, Ocke MC, Welch A, et al. 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 Prog Biomed. 1999;58:251–66.
Haubrock J, Nothlings U, Volatier JL, Dekkers A, Ocke M, Harttig U, et al. Estimating usual food intake distributions by using the multiple source method in the EPIC-Potsdam Calibration Study. J Nutr. 2011;141:914–20.
Freese J, Pricop-Jeckstadt M, Heuer T, Clemens M, Boeing H, Knüppel S, et al. Determinants of consumption-day amounts applicable for the estimation of usual dietary intake with a short 24-h food list. J Nutr Sci. 2016;5:e35.
Müller MJ, Bosy-Westphal A, Klaus S, Kreymann G, Luhrmann PM, Neuhauser-Berthold M, et al. World Health Organization equations have shortcomings for predicting resting energy expenditure in persons from a modern, affluent population: generation of a new reference standard from a retrospective analysis of a German database of resting energy expenditure. Am J Clin Nutr. 2004;80:1379–90.
Black AE. The sensitivity and specificity of the Goldberg cut-off for EI:BMR for identifying diet reports of poor validity. Eur J Clin Nutr. 2000;54:395–404.
Acknowledgements
This project was conducted as part of the pretest studies of the German National Cohort (GNC, https://nako.de/), funded by the German Federal Ministry of Education and Research (BMBF) and supported by the Helmholtz Association as well as participating universities and institutes of the Leibniz Association. Additional funding was from the German Federal Ministry of Education and Research (BMBF) (grant No.: 01EA1410A) through the Diet-Body-Brain Competence Cluster in Nutrition. The German National Nutrition Survey II (NVS II, 2005–2007) was funded by the German Federal Ministry of Food, Agriculture and Consumer Protection.
Author contributions
H Boeing, UN, and JL designed this project; SK, MC, and JC analyzed the data; SK, MC, and H Boeing drafted the first version of the manuscript; SG, KBM, ML, LK, TP, GK, WA, NE, KJ, AK, NO, RK, WL, SaS, and H Brenner were responsible for implementing the procedures and the acquisition of data in each study center including accuracy and integrity of the data; TH was responsible for the acquisition and preparation of the NVS II data; UH had responsibility for programming the web-based dietary questionnaires; all authors critically reviewed and revised the manuscript.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that they have no conflict of interest.
Additional information
Publisher’s note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
Rights and permissions
About this article
Cite this article
Knüppel, S., Clemens, M., Conrad, J. et al. Design and characterization of dietary assessment in the German National Cohort. Eur J Clin Nutr 73, 1480–1491 (2019). https://doi.org/10.1038/s41430-018-0383-8
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1038/s41430-018-0383-8