Top

European Journal of Nutrition

Published in:

Open Access 01-02-2019 | Original Contribution

Comparison of food consumption and nutrient intake assessed with three dietary assessment methods: results of the German National Nutrition Survey II

Authors: Andrea Straßburg, Marianne Eisinger-Watzl, Carolin Krems, Alexander Roth, Ingrid Hoffmann

Published in: European Journal of Nutrition | Issue 1/2019

Abstract

Purpose

Comparison of food consumption, nutrient intake and underreporting of diet history interviews, 24-h recalls and weighed food records to gain further insight into specific strength and limitations of each method and to support the choice of the adequate dietary assessment method.

Methods

For 677 participants (14–80 years) of the German National Nutrition Survey II confidence intervals for food consumption and nutrient intake were calculated on basis of bootstrapping samples, Cohen’s d for the relevance of differences, and intraclass correlation coefficients for the degree of agreement of dietary assessment methods. Low energy reporters were identified with Goldberg cut-offs.

Results

In 7 of 18 food groups diet history interviews showed higher consumption means than 24-h recalls and weighed food records. Especially mean values of food groups perceived as socially desirable, such as fruit and vegetables, were highest for diet history interviews. For “raw” and “cooked vegetables”, the diet history interviews showed a mean consumption of 144 and 109 g/day in comparison with 68 and 70 g/day in 24-h recalls and 76 and 75 g/day in weighed food records, respectively. For “fruit”, diet history interviews showed a mean consumption of 256 g/day in comparison with 164 g/day in 24-h recalls and 147 g/day in weighed food records. No major differences regarding underreporting of energy intake were found between dietary assessment methods.

Conclusions

With regard to estimating food consumption and nutrient intake, 24-h recalls and weighed food records showed smaller differences and better agreement than pairwise comparisons with diet history interviews.

Available only for authorised users

The EPIC-SOFT program is now renamed to GloboDiet.

Thompson FE, Subar AF (2013) Dietary assessment methodology. In: Coulston AM, Boushey CJ, Ferruzzi MG (eds) Nutrition in the prevention and treatment of disease, 3rd edn. Elsevier, Oxford, pp 5–46CrossRef

van Staveren WA, Ocké MC, de Vries JHM (2012) Estimation of dietary intake. In: Erdman JW, Macdonald IA, Zeisel SH (eds) Present knowledge in nutrition, 10th edn. Wiley-Blackwell, Ames, pp 1012–1026. https://doi.org/10.1002/9781119946045.ch59 CrossRef

Penn L, Boeing H, Boushey CJ, Dragsted LO, Kaput J, Scalbert A, Welch AA, Mathers JC (2010) Assessment of dietary intake: NuGO symposium report. Genes Nutr 5(3):205–213. https://doi.org/10.1007/s12263-010-0175-9 CrossRefPubMedPubMedCentral

de Boer EJ, Slimani N, Van TV, Boeing H, Feinberg M, Leclercq C, Trolle E, Amiano P, Andersen LF, Freisling H, Geelen A, Harttig U, Huybrechts I, Kaic-Rak A, Lafay L, Lillegaard IT, Ruprich J, de Vries JH, Ocké MC (2011) The European Food Consumption Validation Project: conclusions and recommendations. Eur J Clin Nutr 65(suppl. 1):S102–S107. https://doi.org/10.1038/ejcn.2011.94 CrossRefPubMed

Brussaard JH, Johansson L, Kearney J (2002) Rationale and methods of the EFCOSUM project. Eur J Clin Nutr 56(Suppl 2):S4–S7. https://doi.org/10.1038/sj.ejcn.1601422 CrossRefPubMed

EFSA (2009) General principles for the collection of national food consumption data in the view of a pan-European dietary survey. Document 1435 EFSA J 7 (12):1–51. https://doi.org/10.2903/j.efsa.2009.1435

EFSA (2014) Guidance on the EU Menu methodology. EFSA J 12 (12):1–77. https://doi.org/10.2903/j.efsa.2014.3944 CrossRef

Merten C, Ferrari P, Bakker M, Boss A, Hearty A, Leclercq C, Lindtner O, Tlustos C, Verger P, Volatier JL, Arcella D (2011) Methodological characteristics of the national dietary surveys carried out in the European Union as included in the European Food Safety Authority (EFSA) comprehensive european food consumption database. Food Addit Contam Part A Chem Anal Control Expo Risk Assess 28(8):975–995. https://doi.org/10.1080/19440049.2011.576440 CrossRefPubMed

Elmadfa I (ed) (2009) European nutrition and health report 2009. Forum of Nutrition, vol 62 European Commission, Health and Consumer Protection. Directorate-General, Vienna

10.

Eisinger-Watzl M, Strassburg A, Ramunke J, Krems C, Heuer T, Hoffmann I (2015) Comparison of two dietary assessment methods by food consumption: results of the German National Nutrition Survey II. Eur J Nutr 54(3):343–354. https://doi.org/10.1007/s00394-014-0714-z CrossRefPubMed

11.

Heuer T, Krems C, Moon K, Brombach C, Hoffmann I (2015) Food consumption of adults in Germany: results of the German National Nutrition Survey II based on diet history interviews. Br J Nutr:1–12. https://doi.org/10.1017/S0007114515000744

12.

Mensink GB, Haftenberger M, Thamm M (2001) Validity of DISHES 98, a computerised dietary history interview: energy and macronutrient intake. Eur J Clin Nutr 55(6):409–417. https://doi.org/10.1038/sj.ejcn.1601174 CrossRefPubMed

13.

Krems C, Bauch A, Götz A, Heuer T, Hild A, Möseneder J, Brombach C (2006) Methoden der Nationalen Verzehrsstudie II [Methods of the German National Nutrition Survey II]. Ernahrungs-Umschau 53(6):44–50

14.

Slimani N, Deharveng G, Charrondiere RU, van Kappel AL, Ocke MC, Lagiou A, van Liere M, Agudo A, Pala V, Brandstetter B, Andren C, Stripp C, van Staveren WA, 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. Comput Meth Programs Biomed 58(3):251–266. https://doi.org/10.1016/s0169-2607(98)00088-1 CrossRef

15.

Rothausen BW, Matthiessen J, Hoppe C, Brockhoff PB, Andersen LF, Tetens I (2012) Differences in Danish children’s diet quality on weekdays v. weekend days. Public Health Nutr 15(9):1653–1660. https://doi.org/10.1017/s1368980012002674 CrossRefPubMed

16.

de Henauw S, Brants HA, Becker W, Kaic-Rak A, Ruprich J, Sekula W, Mensink GB, Koenig JS (2002) Operationalization of food consumption surveys in Europe: recommendations from the European Food Consumption Survey Methods (EFCOSUM) Project. Eur J Clin Nutr 56(Suppl 2):S75–S88. https://doi.org/10.1038/sj.ejcn.1601431 CrossRefPubMed

17.

Slimani N, Ferrari P, Ocke M, Welch A, Boeing H, Liere M, Pala V, Amiano P, Lagiou A, Mattisson I, Stripp C, Engeset D, Charrondiere R, Buzzard M, Staveren W, Riboli E (2000) Standardization of the 24-hour diet recall calibration method used in the european prospective investigation into cancer and nutrition (EPIC): general concepts and preliminary results. Eur J Clin Nutr 54(12):900–917. https://doi.org/10.1038/sj.ejcn.1601107 CrossRefPubMed

18.

Crispim SP, Nicolas G, Casagrande C, Knaze V, Illner AK, Huybrechts I, Slimani N (2014) Quality assurance of the international computerised 24 h dietary recall method (EPIC-Soft). Br J Nutr 111(3):506–515. https://doi.org/10.1017/S0007114513002766 CrossRefPubMed

19.

Goldberg GR, Black AE, Jebb SA, Cole TJ, Murgatroyd PR, Coward WA, Prentice AM (1991) Critical evaluation of energy intake data using fundamental principles of energy physiology: 1. Derivation of cut-off limits to identify under-recording. Eur J Clin Nutr 45(12):569–581PubMed

20.

Black AE (2000) 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 24(9):1119–1130CrossRef

21.

Müller MJ, Bosy-Westphal A, Klaus S, Kreymann G, Luhrmann PM, Neuhauser-Berthold M, Noack R, Pirke KM, Platte P, Selberg O, Steiniger J (2004) 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 80(5):1379–1390CrossRefPubMed

22.

Harttig U, Haubrock J, Knuppel S, Boeing H (2011) The MSM program: web-based statistics package for estimating usual dietary intake using the multiple source method. Eur J Clin Nutr 65(Suppl 1):S87–S91. https://doi.org/10.1038/ejcn.2011.92 CrossRefPubMed

23.

Haubrock J, Nöthlings U, Volatier JL, Dekkers A, Ocke M, Harttig U, Illner AK, Knüppel S, Andersen LF, Boeing H (2011) Estimating usual food intake distributions by using the multiple source method in the EPIC-potsdam calibration study. J Nutr 141(5):914–920. https://doi.org/10.3945/jn.109.120394 CrossRefPubMed

24.

Efron B, Gong G (1983) A leisurely look at the bootstrap, the jackknife, and cross-validation. Am Stat 37(1):36–48. https://doi.org/10.2307/2685844 CrossRef

25.

Müller R, Büttner P (1994) A critical discussion of intraclass correlation-coefficients. Stat Med 13(23–24):2465–2476. https://doi.org/10.1002/sim.4780132310 CrossRefPubMed

26.

Shrout PE, Fleiss JL (1979) Intraclass correlations - uses in assessing rater reliability. Psychol Bull 86(2):420–428. https://doi.org/10.1037//0033-2909.86.2.420 CrossRefPubMed

27.

Chinnock A (2007) Validation of a diet history questionnaire for use with Costa Rican adults. Public Health Nutr 11(1):65–75. https://doi.org/10.1017/s1368980007000225 CrossRefPubMed

28.

Sjöberg A, Hulthen L (2004) Assessment of habitual meal pattern and intake of foods, energy and nutrients in Swedish adolescent girls: comparison of diet history with 7-day record. Eur J Clin Nutr 58(8):1181–1189. https://doi.org/10.1038/sj.ejcn.1601947 CrossRefPubMed

29.

van Liere MJ, Lucas F, Clavel F, Slimani N, Villeminot S (1997) Relative validity and reproducibility of a French dietary history questionnaire. Int J Epidemiol 26:S128–S136. https://doi.org/10.1093/ije/26.suppl_1.S128 CrossRefPubMed

30.

Bingham SA, Gill C, Welch A, Day K, Cassidy A, Khaw KT, Sneyd MJ, Key TJ, Roe L, Day NE (1994) Comparison of dietary assessment methods in nutritional epidemiology: weighed records v. 24 h recalls, food-frequency questionnaires and estimated-diet records. Br J Nutr 72(4):619–643. https://doi.org/10.1079/BJN19940064 CrossRefPubMed

31.

Stockwell T, Donath S, Cooper-Stanbury M, Chikritzhs T, Catalano P, Mateo C (2004) Under-reporting of alcohol consumption in household surveys: a comparison of quantity-frequency, graduated-frequency and recent recall. Addiction 99(8):1024–1033. https://doi.org/10.1111/j.1360-0443.2004.00815.x CrossRefPubMed

32.

Greenfield TK, Kerr WC (2008) Alcohol measurement methodology in epidemiology: recent advances and opportunities. Addiction 103(7):1082–1099. https://doi.org/10.1111/j.1360-0443.2008.02197.x CrossRefPubMedPubMedCentral

33.

Maurer J, Taren DL, Teixeira PJ, Thomson CA, Lohman TG, Going SB, Houtkooper LB (2006) The psychosocial and behavioral characteristics related to energy misreporting. Nutr Rev 64(2):53–66. https://doi.org/10.1301/nr.2006.feb.53-66 CrossRefPubMed

34.

Salvini S, Hunter DJ, Sampson L, Stampfer MJ, Colditz GA, Rosner B, Willett WC (1989) Food-based validation of a dietary questionnaire: the effects of week-to-week variation in food consumption. Int J Epidemiol 18(4):858–867. https://doi.org/10.1093/ije/18.4.858 CrossRefPubMed

35.

German Federal Ministry of Food and Agriculture (ed) (2013) Statistisches Jahrbuch über Ernährung, Landwirtschaft und Forsten der Bundesrepublik Deutschland 2013 [Statistical Yearbook on Food, Agriculture and Forestry in the Federal Republic of Germany 2013]. Landwirtschaftsverlag GmbH, Münster-Hiltrup

36.

Jain M, Howe GR, Rohan T (1996) Dietary assessment in epidemiology: comparison on food frequency and a diet history questionnaire with a 7-day food record. Am J Epidemiol 143(9):953–960CrossRefPubMed

37.

van Staveren WA, Burema J, Livingstone MB, van den Broek T, Kaaks R (1996) Evaluation of the dietary history method used in the SENECA Study. Eur J Clin Nutr 50(7 Suppl):S47–S55PubMed

38.

Block G, Thompson FE, Hartman AM, Larkin FA, Guire KE (1992) Comparison of two dietary questionnaires validated against multiple dietary records collected during a 1-year period. J Am Diet Assoc 92(6):686–693PubMed

39.

Hankin JH, Wilkens LR, Kolonel LN, Yoshizawa CN (1991) Validation of a quantitative diet history method in Hawaii. Am J Epidemiol 133(6):616–628CrossRefPubMed

40.

Nes M, van Staveren W, Zajkás G, Inelmen E, Moreiras-Varela O (1991) Validity of the dietary history method in elderly subjects. Euronut SENECA investigators. Eur J Clin Nutr 45(Suppl 3 (12):97–104PubMed

41.

Høidrup S, Andreasen AH, Osler M, Pedersen AN, Jorgensen LM, Jorgensen T, Schroll M, Heitmann BL (2002) Assessment of habitual energy and macronutrient intake in adults: comparison of a seven day food record with a dietary history interview. Eur J Clin Nutr 56(2):105–113. https://doi.org/10.1038/sj.ejcn.1601292 CrossRefPubMed

42.

Block G, Woods M, Potosky A, Clifford C (1990) Validation of a self-administered diet History questionnaire using multiple diet records. J Clin Epidemiol 43(12):1327–1335. https://doi.org/10.1016/0895-4356(90)90099-b CrossRefPubMed

43.

Mahalko JR, Johnson LK, Gallagher SK, Milne DB (1985) Comparison of dietary histories and seven-day food records in a nutritional assessment of older adults. Am J Clin Nutr 42(3):542–553CrossRefPubMed

44.

Liberato SC, Bressan J, Hills AP (2009) Assessment of energy and macronutrient intake in young men: a comparison of 4-day food record and 24-hour dietary recall. Rev Nutr 22(5):621–630CrossRef

45.

Johansson G (2008) Comparison of nutrient intake between different dietary assessment methods in elderly male volunteers. Nutr Diet 65(4):266–271. https://doi.org/10.1111/j.1747-0080.2008.00317.x CrossRef

46.

Schröder H, Covas MI, Marrugat J, Vila J, Pena A, Alcantara M, Masia R (2001) Use of a three-day estimated food record, a 72-hour recall and a food-frequency questionnaire for dietary assessment in a Mediterranean Spanish population. Clin Nutr 20(5):429–437. https://doi.org/10.1054/clnu.2001.0460 CrossRefPubMed

47.

Okubo H, Sasaki S, Rafamantanantsoa HH, Ishikawa-Takata K, Okazaki H, Tabata I (2008) Validation of self-reported energy intake by a self-administered diet history questionnaire using the doubly labeled water method in 140 Japanese adults. Eur J Clin Nutr 62(11):1343–1350. https://doi.org/10.1038/sj.ejcn.1602858 CrossRefPubMed

48.

Vanrullen IB, Volatier JL, Bertaut A, Dufour A, Dallongeville J (2014) Characteristics of energy intake under-reporting in French adults. Br J Nutr 111(7):1292–1302. https://doi.org/10.1017/s0007114513003759 CrossRef

49.

Poslusna K, Ruprich J, de Vries JH, Jakubikova M, van’t Veer P (2009) Misreporting of energy and micronutrient intake estimated by food records and 24 h recalls, control and adjustment methods in practice. Br J Nutr 101(Suppl 2):S73–S85. https://doi.org/10.1017/S0007114509990602 CrossRefPubMed

50.

Dubuisson C, Lioret S, Touvier M, Dufour A, Calamassi-Tran G, Volatier JL, Lafay L (2010) Trends in food and nutritional intakes of French adults from 1999 to 2007: results from the INCA surveys. Br J Nutr 103(7):1035–1048. https://doi.org/10.1017/S0007114509992625 CrossRefPubMed

51.

Pryer JA, Vrijheid M, Nichols R, Kiggins M, Elliot P (1997) Who are the ‘low energy reporters’ in the dietary and nutrition survey of British adults. Int J Epidemiol 26(1):146–154CrossRefPubMed

52.

Murakami K, Livingstone MB (2015) Prevalence and characteristics of misreporting of energy intake in US adults: NHANES 2003–2012. Br J Nutr:1–10. https://doi.org/10.1017/S0007114515002706

53.

Archer E, Hand GA, Blair SN (2013) Validity of U.S. nutritional surveillance:National Health and Nutrition Examination Survey caloric energy intake data, 1971–2010. PLOS One 8(10):e76632. https://doi.org/10.1371/journal.pone.0076632 CrossRefPubMedPubMedCentral

54.

Ferrari P, Slimani N, Ciampi A, Trichopoulou A, Naska A, Lauria C, Veglia F, Bueno-de-Mesquita HB, Ocke MC, Brustad M, Braaten T, Jose Tormo M, Amiano P, Mattisson I, Johansson G, Welch A, Davey G, Overvad K, Tjonneland A, Clavel-Chapelon F, Thiebaut A, Linseisen J, Boeing H, Hemon B, Riboli E (2002) Evaluation of under- and overreporting of energy intake in the 24-hour diet recalls in the European Prospective Investigation into Cancer and Nutrition (EPIC). Public Health Nutr 5(6B):1329–1345. https://doi.org/10.1079/PHN2002409 CrossRefPubMed

55.

Trabulsi J, Schoeller DA (2001) Evaluation of dietary assessment instruments against doubly labeled water, a biomarker of habitual energy intake. Am J Physiol Endocrinol Metab 281(5):E891–E899CrossRefPubMed

56.

Tooze JA, Subar AF, Thompson FE, Troiano R, Schatzkin A, Kipnis V (2004) Psychosocial predictors of energy underreporting in a large doubly labeled water study. Am J Clin Nutr 79(5):795–804CrossRefPubMed

57.

Goris AHC, Westerterp-Plantenga MS, Westerterp KR (2000) Undereating and underrecording of habitual food intake in obese men: selective underreporting of fat intake. Am J Clin Nutr 71(1):130–134CrossRefPubMed

58.

Heitmann BL, Lissner L, Osler M (2000) Do we eat less fat, or just report so? Int J Obes Relat Metab Disord 24(4):435–442. https://doi.org/10.1038/sj.ijo.0801176 CrossRefPubMed

59.

Macdiarmid J, Blundell JE (1998) Assessing dietary intake: Who, what and why of under-reporting. Nutr Res Rev 11(2):231–253CrossRefPubMed

60.

Scagliusi FB, Polacow VO, Artioli GG, Benatti FB, Lancha AH (2003) Selective underreporting of energy intake in women: Magnitude, determinants, and effect of training. J Am Diet Assoc 103(10):1306–1313. https://doi.org/10.1053/s0002-8223(03)01074-5 CrossRefPubMed

61.

Svendsen M, Tonstad S (2006) Accuracy of food intake reporting in obese subjects with metabolic risk factors. Br J Nutr 95(3):640–649. https://doi.org/10.1079/bjn20051662 CrossRefPubMed

Title: Comparison of food consumption and nutrient intake assessed with three dietary assessment methods: results of the German National Nutrition Survey II
Authors: Andrea Straßburg
Marianne Eisinger-Watzl
Carolin Krems
Alexander Roth
Ingrid Hoffmann
Publication date: 01-02-2019
Publisher: Springer Berlin Heidelberg
Published in: European Journal of Nutrition / Issue 1/2019
Print ISSN: 1436-6207
Electronic ISSN: 1436-6215
DOI: https://doi.org/10.1007/s00394-017-1583-z

ACC 2024 Congress Coverage

Heart Failure Video

At a glance: The ONWARDS insulin icodec trials

Springer Medicine

Comparison of food consumption and nutrient intake assessed with three dietary assessment methods: results of the German National Nutrition Survey II

Abstract

Purpose

Methods

Results

Conclusions

ACC 2024 Congress Coverage

Year in Review: Heart failure and cardiomyopathies

Semaglutide benefits people with type 2 diabetes and obesity-related heart failure

Incentivised to exercise

New intervention for STEMI-related cardiogenic shock

» View more highlights on the ACC 2024 congress hub page

At a glance: The ONWARDS insulin icodec trials

Springer Medicine

Abstract

Purpose

Methods

Results

Conclusions

Please log in to get access to this content

Other articles of this Issue 1/2019

Meat intake and incidence of cardiovascular disease in Japanese patients with type 2 diabetes: analysis of the Japan Diabetes Complications Study (JDCS)

Effects of Lactobacillus coryniformis K8 CECT5711 on the immune response to influenza vaccination and the assessment of common respiratory symptoms in elderly subjects: a randomized controlled trial

Effect of 8-week oral supplementation with 3-µg cyano-B12 or hydroxo-B12 in a vitamin B12-deficient population

Food insecurity and adult weight abnormality risk: a systematic review and meta-analysis

A traditional dietary pattern is associated with lower odds of overweight and obesity among preschool children in Lebanon: a cross-sectional study

Modelling of adequate and safe vitamin D intake in Danish women using different fortification and supplementation scenarios to inform fortification policies

ACC 2024 Congress Coverage

Year in Review: Heart failure and cardiomyopathies

Semaglutide benefits people with type 2 diabetes and obesity-related heart failure

Incentivised to exercise

New intervention for STEMI-related cardiogenic shock

» View more highlights on the ACC 2024 congress hub page