Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Validity of DISHES 98, a computerised dietary history interview: energy and macronutrient intake

Abstract

Objective: To estimate the relative validity of a computerised dietary history instrument (DISHES 98).

Settings: Munich and Berlin.

Subjects: A total of 148 persons aged 19–59 y recruited from two research centres.

Design: A relative validation study. Energy and macronutrient intakes obtained with DISHES 98 were compared to those assessed with 3-day weighed dietary records and with a 24 h dietary recall.

Results: Intakes of energy, total, saturated and monounsaturated fat, polysaccharides and alcohol were significantly higher and intake of dietary fibre was significantly lower with the 3-day records than with DISHES 98. For intakes of total, animal and vegetable protein, total carbohydrates, mono- and disaccharides and cholesterol the mean difference between DISHES 98 and the 3-day dietary records was less than 5% of the intake with DISHES 98. Pearson's correlation coefficients between DISHES 98 and 3-day records varied from 0.34 for intake of polyunsaturated fat to 0.69 for intake of disaccharides and from 0.27 for polyunsaturated fat to 0.65 for total carbohydrates between DISHES 98 and the 24 h recall. The proportion of participants classified into the same or adjacent quintile of intake varied between 66.9% for polyunsaturated fat and 90.4% for alcohol comparing DISHES 98 and 3-day records and between 60.2% for polyunsaturated fat and 78.4% for total carbohydrates comparing DISHES 98 and 24 h recalls.

Conclusion: The observed differences between DISHES 98 and the other methods are in an acceptable range for assessing dietary intake in epidemiologic studies.

European Journal of Clinical Nutrition (2001) 55, 409–417

This is a preview of subscription content, access via your institution

Relevant articles

Open Access articles citing this article.

Access options

Buy article

Get time limited or full article access on ReadCube.

$32.00

All prices are NET prices.

References

  • Anonymous (1991) Estimating usual dietary intake of individuals: some additional considerations Nutr. Rev. 49 252–254

  • Beaton GH, Milner J, Corey P et al (1979) Sources of variance in 24-hour dietary recall data: implications for nutrition study design and interpretation Am. J. Clin. Nutr. 32 2546–2549

    Article  CAS  Google Scholar 

  • Bingham SA (1991) Limitations of the various methods for collecting dietary intake data Ann. Nutr. Metab. 35 117–127

    Article  CAS  Google Scholar 

  • Bland JM & Altman DG (1986) Statistical methods for assessing agreement between two methods of clinical measurement Lancet i 307–310

    Article  Google Scholar 

  • 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 1327–1335

    Article  CAS  Google Scholar 

  • Dehne LI, Klemm C, Henseler G & Hermann-Kunz E (1999) The German Food Code and Nutrient Data Base (BLS II.2) Eur. J. Epidemiol. 15 355–359

    Article  CAS  Google Scholar 

  • Delcourt C, Cubeau J, Balkau B, Papoz L & the CODIAB-INSERM-ZENECA Pharma Study Group (1994) Limitations of the correlation coefficient in the validation of diet assessment methods Epidemiology 5 518–524

    CAS  PubMed  Google Scholar 

  • Gibson RS (1990) Validity in dietary assessment: a review J. Can. Diet. Assoc. 51 275–280

    Google Scholar 

  • Hankin JH & Wilkens R (1994) Development and validation of dietary assessment methods for culturally diverse populations Am. J. Clin. Nutr. 59 (Suppl), S198–S200

    Article  Google Scholar 

  • Heerstrass DW, Ocké MC, Bueno-de-Mesquita HB, Peeters PHM & Seidell JC (1998) Underreporting of energy, protein and potassium intake in relation to body mass index Int. J. Epdemiol. 27 186–193

    Article  CAS  Google Scholar 

  • Hirvonen T, Männistö S, Roos E & Pietinen P (1997) Increasing prevalence of underreporting does not necessarily distort dietary surveys Eur. J. Clin. Nutr. 68 266–274

    Google Scholar 

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

    Article  CAS  Google Scholar 

  • Kroke A, Klipstein-Grobusch K, Voss S et al (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. 70 439–447

    Article  CAS  Google Scholar 

  • Landig J, Erhardt JG, Bode JC & Bode J (1998) Validation and comparison of two computerised methods of obtaining a diet history Clin. Nutr. 17 113–117

    Article  CAS  Google Scholar 

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

    Article  CAS  Google Scholar 

  • Mensink GBM, Hermann-Kunz E & Thamm M (1998) Der Ernährungssurvey. (The Nutrition Survey) Gesundheitswesen 60(Sonderheft 2) S83–S86 (in German)

    Google Scholar 

  • Morgan RW, Jain M, Miller AB et al (1978) A comparison of dietary methods in epidemiologic studies Am. J. Epidemiol. 107 488–498

    Article  CAS  Google Scholar 

  • Nelson M & Bingham SA (1998) Assessment of food consumption and nutrient intake In Design Concepts in Nutritional Epidemiology, ed. BM Margetts & M Nelson 123–169 Oxford: Oxford University Press

    Google Scholar 

  • Nes M, van Staveren WA, Zajkás G, Inelmen M & Moreiras-Varela O (1991) Validity of the dietary history method in elderly people Eur. J. Clin. Nutr. 45 (Suppl), S97–S104

    Google Scholar 

  • Petersen MA, Haraldsdóttir J, Hansen HB, Jensen H & Sandström B (1992) A new simplified diet history method for measuring intake of energy and macronutrients Eur. J. Clin. Nutr. 46 551–559

    CAS  PubMed  Google Scholar 

  • Potosky AL, Block G & Hartman AM (1990) The apparent validity of diet questionnaires is influenced by number of diet-record days used for comparison J. Am. Diet. Assoc. 90 810–813

    CAS  PubMed  Google Scholar 

  • Schofield W (1985) Predicting basal metabolic rate, new standards and review of previous work Hum. Nutr. Clin. Nutr. 39C(Suppl 1) 5–41

    Google Scholar 

  • Slimani N, Deharveng G, Charrondière UR et al (1999) Structure of the standardised computerised 24-hour diet recall interview used as reference method in the 22 centers participating in the EPIC project Comput. Meth. Prog. Biomed. 58 251–256

    Article  CAS  Google Scholar 

  • Slimani N, Ferrari P, Ocké M et al (2000) Standardisation of the 24-hour diet recall method used for calibration of dietary intake measurements in the European Prospective Investigation into Cancer and Nutrition (EPIC) Eur. J. Clin. Nutr. 54 1–18

    Article  Google Scholar 

  • Tarasuk V & Beaton GH (1992) Statistical estimation of dietary parameters: implication of patterns in within subject variation—a case study of sampling strategies Am. J. Clin. Nutr. 55 22–27

    Article  Google Scholar 

  • van Leeuwen FE, de Vet HCW, Hayes RB, van Staveren WA, West CE & Hautvast JGAJ (1983) An assessment of the relative validity of retrospective interviewing for measuring dietary intake Am. J. Epidemiol. 118 752–758

    Article  CAS  Google Scholar 

  • Voss S, Kroke A, Klipstein-Grobusch K & Boeing H (1998) Is macronutrient composition of dietary intake data affected by underreporting? Results from the EPIC-Potsdam study Eur. J. Clin. Nutr. 52 119–126

    Article  CAS  Google Scholar 

  • Willett W & Lenart E (1998) Reproducibility and validity of food-frequency questionnaires In Nutritional Epidemiology, ed. W. Willet 101–147 Oxford: Oxford University Press

    Chapter  Google Scholar 

Download references

Acknowledgements

We thank Rita Brunner, Anja Schiller, Constanze Cholmakow-Bodechtel and Hans-Uwe Oesterle for their help during the fieldwork and Susanne Voβ for the instruction of the EPIC-questionnaire. Thanks are also due to investigators of the EPIC-study who provided EPIC-SOFT for this particular study. Furthermore, we would like to thank the participants of the validation study.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to GBM Mensink.

Rights and permissions

Reprints and Permissions

About this article

Cite this article

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

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/sj.ejcn.1601174

Keywords

  • validity
  • diet history
  • Germany
  • epidemiology
  • food records
  • macronutrients

This article is cited by

Search

Quick links