Skip to main content

Advertisement

Log in

Estimating dietary intakes from a brief questionnaire: A simulation study of reliability in a molecular epidemiologic study of pancreatic and biliary diseases

  • Methods
  • Published:
European Journal of Epidemiology Aims and scope Submit manuscript

Abstract

Introduction

Brief dietary questionnaires may be useful in research or clinical settings where in-depth assessments are inefficient or impractical. We conducted a simulation study to assess the reliability of a brief food frequency questionnaire (bFFQ) for capturing dietary intakes relative to a detailed survey.

Subjects and methods

The bFFQ was used in a study of patients with pancreatic and biliary diseases in eastern Spain (n = 605). The structured interview included a section probing the frequency of intakes of 14 food groups, using 4 response categories. Data from a 93-item semi-quantitative food frequency questionnaire (SFFQ) with 9 response categories (n = 1337) was used to: (1) develop estimates of nutrient intakes for each food group, and (2) to simulate how intakes would have been estimated using the bFFQ. The simulation allowed to assess effects of aggregating foods and using abbreviated frequency categories.

Results

Correlations between actual and simulated intake frequencies exceeded 0.70 for 10 food groups; modest correlations (0.43–0.56) were observed for groups assessed less well using abbreviated frequency categories. Correlations exceeded 0.60 for most nutrients. Concordance was lower for several nutrients, notably retinol, for which substantial proportions were contributed by groups combining foods with highly variable levels of these compounds.

Conclusions

Intake estimates from the bFFQ may be useful in exploratory analyses of the role of diet in bilio-pancreatic diseases and related etiopathogenic events. Estimates for some nutrients may be less reliable, and should be interpreted with particular caution.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Abbreviations

FFQ:

food frequency questionnaire

SFFQ:

semi-quantitative food frequency questionnaire

bFFQ:

brief food frequency questionnaire

ENSCV:

’Encuesta de Nutrición y Salud de la Comunidad Valenciana’ (Nutrition and Health Survey of the Valencian Community); PANKRAS II Study and PANKRAS = Multicentre prospective study on the role of K-ras and other genetic alterations in the diagnosis, prognosis and etiology of pancreatic and biliary diseases; FCT = food composition table; RE = Retinol Equivalents (1 RE = 1 mcg = 5 IU of vitamin A)

References

  1. Porta M, Malats N, Jariod M et al. Serum concentrations of organochlorine compounds and K-ras mutations in exocrine pancreatic cancer. Lancet 1999; 354: 2125–2129

    Article  PubMed  CAS  Google Scholar 

  2. Porta M, Malats N, Corominas JM et al. Generalizing molecular results arising from incomplete biological samples: expected bias and unexpected findings. Ann Epidemiol 2002; 12: 7–14

    Article  PubMed  Google Scholar 

  3. Porta M, Malats N, Vioque J et al. Incomplete overlapping of biological, clinical and environmental information in molecular epidemiologic studies: A variety of causes and a cascade of consequences. J Epidemiol Commun Health 2002; 56: 734–738

    Article  CAS  Google Scholar 

  4. Porta M. Commentary on Chapter 7. In: Von Hoff DD, Evans DB, Hruban RH (eds), Pancreatic cancer. Boston: Jones and Bartlett Publishers, 2005: 113–117

  5. Neuhouser ML, Kristal AR, McLerran D, Patterson RE, Atkinson J Validity of short food frequency questionnaires used in cancer chemoprevention trials: Results from the Prostate Cancer Prevention Trial. Cancer Epidemiol Biomarkers Prev 1999; 8: 721–725

    PubMed  CAS  Google Scholar 

  6. Brink M, Weijenberg MP, de Goeij AF et al. Dietary folate intake and k-ras mutations in sporadic colon and rectal cancer in The Netherlands Cohort Study. Int J Cancer 2005; 114: 824–830

    Article  PubMed  CAS  Google Scholar 

  7. Wark PA, Van der Kuil W, Ploemacher J, et al. Diet, lifestyle and risk of K-ras mutation-positive and negative colorectal adenomas. Int J Cancer 2006 (in press)

  8. Slattery ML, Curtin K, Anderson K et al. Associations between dietary intake and Ki-ras mutations in colon tumors: A population-based study. Cancer Res 2000; 60: 6935–6941

    PubMed  CAS  Google Scholar 

  9. Little P, Barnett J, Margetts B et al. The validity of dietary assessment in general practice. J Epidemiol Commun Health 1999; 53: 165–172

    CAS  Google Scholar 

  10. Kim DJ, Holowaty EJ Brief, validated survey instruments for the measurement of fruit and vegetable intakes in adults: A review. Prev Med 2003; 36: 440–447

    Article  PubMed  Google Scholar 

  11. Gans KM, Ross E, Barner CW, Wylie-Rosett J, McMurray J, Eaton C REAP, WAVE: New tools to rapidly assess/discuss nutrition with patients. J Nutr 2003; 133: 556S–562S

    PubMed  Google Scholar 

  12. Rifas-Shiman SL, Willett WC, Lobb R, Kotch J, Dart C, Gillman MW. PrimeScreen, a brief dietary screening tool: Reproducibility and comparability with both a longer food frequency questionnaire and biomarkers. Public Health Nutr 2001; 4: 249–254

    Article  PubMed  CAS  Google Scholar 

  13. Block G, Gillespie C, Rosenbaum EH, Jenson C. A rapid food screener to assess fat and fruit and vegetable intake. Am J Prev Med 2000; 18: 284–288

    Article  PubMed  CAS  Google Scholar 

  14. Snyder DC, Sloane R, Lobach D et al. Agreement between a brief mailed screener and an in-depth telephone survey: Observations from the Fresh Start study. J Am Diet Assoc 2004;104: 1593–1596

    Article  PubMed  Google Scholar 

  15. Martínez-González MA, Fernández-Jarne E, Serrano-Martínez M, Wright M, Gómez-Gracia E Development of a short dietary intake questionnaire for the quantitative estimation of adherence to a cardioprotective Mediterranean diet. Eur J Clin Nutr 2004; 58: 1550–1552

    Article  PubMed  Google Scholar 

  16. Andersen LF, Johansson L, Solvoll K Usefulness of a short food frequency questionnaire for screening of low intake of fruit and vegetable and for intake of fat. Eur J Public Health 2002; 2: 208–213

    Article  Google Scholar 

  17. Thompson FE, Midthune D, Subar AF, Kahle LL, Schatzkin A, Kipnis V Performance of a short tool to assess dietary intakes of fruits and vegetables, percentage energy from fat and fibre. Public Health Nutr 2004; 7: 1097–1105

    Article  PubMed  Google Scholar 

  18. Vioque J, Quiles J. Encuesta de Nutrición y Salud de la Comunidad Valenciana. Alicante: Universidad Miguel Hernández, 2003; http://www.dsp.umh.es/docencia/medprev/encuesta_cv.pdf [accessed 31 January 2006]

  19. Porta M, Malats N, Guarner L et al. Association between coffee drinking and K-ras mutations in exocrine pancreatic cancer. J Epidemiol Commun Health 1999; 53: 702–709

    Article  CAS  Google Scholar 

  20. Malats N, Casals T, Porta M, Guarner L, Estivill X, Real FX The cystic fibrosis transmembrane regulator (CFTR) ΔF508 mutation and 5T allele in patients with chronic pancreatitis and exocrine pancreas cancer. Gut 2001; 48: 70–74

    Article  PubMed  CAS  Google Scholar 

  21. Real FX, Malats N, Lesca G et al. Family history of cancer and germline BRCA2 mutations in sporadic exocrine pancreas cancer. Gut 2002; 50: 653–657

    Article  PubMed  CAS  Google Scholar 

  22. Alguacil J, Porta M, Malats N et al. Occupational exposure to organic solvents and K-ras mutations in exocrine pancreatic cancer. Carcinogenesis 2002; 23: 101–106

    Article  PubMed  CAS  Google Scholar 

  23. Alguacil J, Porta M, Kauppinen T, Malats N, Kogevinas M, Carrato A Occupational exposure to dyes, metals, polycyclic aromatic hydrocarbons and other agents and K-ras activation in human exocrine pancreatic cancer. Int J Cancer 2003; 107: 635–641

    Article  PubMed  CAS  Google Scholar 

  24. Warneke CL, Davis M, De Moor C, Baranowski T A 7-item versus 31-item food frequency questionnaire for measuring fruit, juice, and vegetable intake among a predominantly African-American population. J Am Diet Assoc 2001; 101: 774–779

    Article  PubMed  CAS  Google Scholar 

  25. Feskanich D, Marshall J, Rimm EB, Litin LB, Willett WC Simulated validation of a brief food frequency questionnaire. Ann Epidemiol 1994; 4: 181–187

    Article  PubMed  CAS  Google Scholar 

  26. Porta M, Fabregat X, Malats N et al. Exocrine pancreatic cancer: Symptoms at presentation and their relation to tumour site and stage. Clin Translat Oncol 2005; 7:189–197

    Article  Google Scholar 

  27. Gavaldà L, Porta M, Malats N et al. Agreement between information supplied by the patient and a family member on medical history, consumption of tobacco, alcohol and coffee, and diet in cancer of the exocrine pancreas and extrahepatic biliary system. Gac Sanit 1995; 9: 334–342

    PubMed  Google Scholar 

  28. Porta M, Costafreda S, Malats N et al. Validity of the hospital discharge diagnosis in epidemiologic studies of biliopancreatic pathology. Eur J Epidemiol 2000; 16: 533–541

    Article  PubMed  CAS  Google Scholar 

  29. Soler M, Malats N, Porta M et al. Medical conditions in patients with pancreatic and biliary diseases: Validity and agreement between data from questionnaires and medical records. Dig Dis Sci 1999; 44: 2469–2477

    Article  PubMed  CAS  Google Scholar 

  30. Valero MP, Fletcher AE, De Stavola BL, Vioque J, Alepuz VC Vitamin C is associated with reduced risk of cataract in a Mediterranean population. J Nutr 2002; 132: 1299–1306

    PubMed  CAS  Google Scholar 

  31. Vioque J, Gonzalez L Validity of a food frequency questionnaire. Preliminary results. Eur J Cancer Prev1991; 1: 19–20

    Article  Google Scholar 

  32. Vioque J. Validez de la evaluación de la ingesta dietética. In: Serra L, Aranceta J (eds), Nutrición y salud pública. Métodos, bases científicas y aplicaciones. Barcelona: Masson, 1995

  33. Willett W Nutritional Epidemiology. 2 Oxford: Oxford University Press; 1998

    Google Scholar 

  34. Friedenreich CM, Slimani N, Riboli E. Measurement of past diet: Review of previous and proposed methods. Epidemiol Rev 1992; 14: 177–196

    PubMed  CAS  Google Scholar 

  35. U.S. Department of Agriculture, Agricultural Research Service. USDA National Nutrient Database for Standard Reference, Release 18. Washington, 2005; [Retrieved in January 2006 from the Nutrient Data Laboratory Home Page, http://www.ars.usda.gov/ba/bhnrc/ndl]

  36. Food Processor SQL. Quality Nutrition Software for the Health & Food Industries (Version 9.1). Salem, OR: ESHA Research, 2002

  37. Svilaas A, Strom EC, Svilaas T, Borgejordet A, Thoresen M, Ose L Reproducibility and validity of a short food questionnaire for the assessment of dietary habits. Nutr Metab Cardiovasc Dis 2002; 12: 60–70

    PubMed  CAS  Google Scholar 

  38. Schatzkin A, Kipnis V Could exposure assessment problems give us wrong answers to nutrition and cancer questions? J Natl Cancer Inst 2004; 96: 1564–1565

    Article  PubMed  Google Scholar 

  39. Salleras L, Tresserras R (eds) General Directorate of Public Health, Generalitat de Catalunya. Evaluation of the targets of the Health Plan for Catalonia for the Year 2000. Barcelona: Doyma; 2005

    Google Scholar 

  40. Serra-Majem L, Ribas L, Salvador G et al. Estat nutricional de la població catalana. Tendències del consum d’aliments i nutrients a Catalunya. Butll Epidemiol Catalunya 2005; 26: 113–117

    Google Scholar 

  41. Serra-Majem L, Aranceta Bartrina J, Mataix Verdú J, eds. Nutrición y salud pública: métodos, bases científicas y aplicaciones. Barcelona : Masson; 1995

    Google Scholar 

  42. Bingham SA, Luben R, Welch A, Wareham N, Khaw KT, Day N Are imprecise methods obscuring a relation between fat and breast cancer? Lancet. 2003; 362: 212–214

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

Supported by research grants from Ministerio de Ciencia y Tecnología (CICYT SAF 2000–0097), Fondo de Investigación Sanitaria (95/0017), Madrid, Spain; Generalitat de Catalunya (CIRIT SGR 0241, SGR 0078 and 1998/BEAi 400011); ‚Red temática de investigación cooperativa de centros en Cáncer’ (C03/10); ‚Red temática de investigación cooperativa de centros en Epidemiología y salud pública’ (C03/09), Instituto de Salud Carlos III; and Oficina de Ciencia␣y Tecnología, Generalitat Valenciana (Grupos 03/136). The authors gratefully acknowledge technical and scientific assistance provided by José Pumarega, Esteve Fernandez, David J. MacFarlane, Joy Ngo and Isabel Egea.

Author information

Authors and Affiliations

Authors

Consortia

Corresponding author

Correspondence to Miquel Porta.

Additional information

*Members of the Multicentre Prospective Study on the Role of K-ras and other Genetic Alterations in the Diagnosis, Prognosis and Etiology of Pancreatic and Biliary Diseases (PANKRAS II) Study Group are mentioned in previous publications.

Appendix Table A1.

Appendix Table A1.

Construction of food composition table (FCT) for food group intakes: dairy products

Appendix Table A1. Construction of food composition table (FCT) for food group intakes: dairy products

Rights and permissions

Reprints and permissions

About this article

Cite this article

Mendez, M.A., Vioque, J., Porta, M. et al. Estimating dietary intakes from a brief questionnaire: A simulation study of reliability in a molecular epidemiologic study of pancreatic and biliary diseases. Eur J Epidemiol 21, 417–426 (2006). https://doi.org/10.1007/s10654-006-9020-2

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10654-006-9020-2

Keywords

Navigation