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.

  • Review
  • Published:

A systematic review of brief dietary questionnaires suitable for clinical use in the prevention and management of obesity, cardiovascular disease and type 2 diabetes

Abstract

The aim of this systematic review was to identify and describe brief dietary assessment tools suitable for use in clinical practice in the management of obesity, cardiovascular disease and type 2 diabetes. Papers describing development of brief (<35 items) dietary assessment questionnaires, that were accessible, simple to score and assessed aspects of the diet of relevance to the conditions of interest were identified from electronic databases. The development of 35 tools was described in 47 papers. Ten tools assessed healthy eating or healthy dietary patterns, 2 assessed adherence to the Mediterranean diet, 18 assessed dietary fat intake, and 5 assessed vegetable and/or fruit intake. Twenty tools were developed in North America. Test-retest reliability was conducted on 18 tools; correlation coefficients for total scores ranged from 0.59 to 0.95. Relative validation was conducted on 34 tools. The most common reference variable was percentage energy from fat (15 tools) and correlation coefficients ranged from 0.24, P<0.001 to 0.79, P<0.002. Tools that have been evaluated for reliability and/or relative validity are suitable for guiding clinicians when providing dietary advice. Variation in study design, settings and populations makes it difficult to recommend one tool over another, although future developers can enhance the understanding and use of tools by giving clear guidance as to the strengths and limitations of the study design. When selecting a tool, clinicians should consider whether their patient population is similar in characteristics to the evaluation sample.

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

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Figure 1

Similar content being viewed by others

References

  1. Lim SS, Vos T, Flaxman AD, Danaei G, Shibuya K, Adair-Rohani H et al. A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet 2012; 380: 2224–2260.

    Article  Google Scholar 

  2. Thomas B, Bishop J . Manual of Dietitic Practice4th EditionJohn Wiley and Sons Ltd: Chicester, 2007.

    Google Scholar 

  3. Anderson CAM, Kumanyika SK, Shults J, Kallan MJ, Gans KM, Risica PM . Assessing change in dietary-fat behaviors in a weight-loss program for African Americans: a potential short method. J Am Diet Assoc 2007; 107: 838–842.

    Article  Google Scholar 

  4. Thompson FE, Byers T . Dietary Assessment Resource Manual. J Nutr 1994; 124 (11 Suppl), 2245s–2317s.

    CAS  PubMed  Google Scholar 

  5. Roe L, Strong C, Whiteside C, Neil A, Mant D . Dietary intervention in primary care: Validity of the DINE method for diet assessment. Fam Pract 1994; 11: 375–381.

    Article  CAS  Google Scholar 

  6. 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  CAS  Google Scholar 

  7. 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.

    CAS  PubMed  Google Scholar 

  8. Greenwood JLJ, Lin J, Arguello D, Ball T, Shaw JM . Healthy eating vital sign: a new assessment tool for eating behaviors. ISRN Obes 2012; 2012: 7.

    Google Scholar 

  9. Wright JL, Scott JA . The Fat and Fibre Barometer, a short food behaviour questionnaire: reliability, relative validity and utility. Australian Journal of Nutrition & Dietetics 2000; 57: 33–39.

    Google Scholar 

  10. Murphy SP, Kaiser LL, Townsend MS, Allen LH . Evaluation of validity of items for a food behavior checklist. J Am Diet Assoc 2001; 101: 751–761.

    Article  CAS  Google Scholar 

  11. Kristal AR, Shattuck AL, Henry HJ . Patterns of dietary behavior associated with selecting diets low in fat: reliability and validity of a behavioral approach to dietary assessment. J Am Diet Assoc 1990; 90: 214–220.

    CAS  PubMed  Google Scholar 

  12. Kris-Etherton P, Eissenstat B, Jaax S, Srinath UMA, Scott L, Rader J et al. Validation for MEDFICTS, a Dietary Assessment Instrument for Evaluating Adherence to Total and Saturated Fat Recommendations of the National Cholesterol Education Program Step 1 and Step 2 Diets. J Am Diet Assoc 2001; 101: 81–86.

    Article  CAS  Google Scholar 

  13. Schroder H, Benitez Arciniega A, Soler C, Covas M-I, Baena-Diez JM, Marrugat J . Validity of two short screeners for diet quality in time-limited settings. Public Health Nutr 2012; 15: 618–626.

    Article  Google Scholar 

  14. Segal-Isaacson CJ, Wylie-Rosett J, Gans KM . Nutrition update. Validation of a short dietary assessment questionnaire: the Rapid Eating and Activity Assessment for Participants Short Version (REAP-S). Diabetes Educ 2004; 30: 774.

    Article  CAS  Google Scholar 

  15. Gans KM, Sundaram SG, McPhillips JB, Hixson ML, Linnan L, Carleton RA . Rate your plate: An eating pattern assessment and educational tool used at cholesterol screening and education programs. J Nutr Educ 1993; 25: 29–36.

    Article  Google Scholar 

  16. Van Assema P, Brug J, Ronda G, Steenhuis I, Oenema A . A short dutch questionnaire to measure fruit and vegetable intake: relative validity among adults and adolescents. Nutr Health 2002; 16: 85–106.

    Article  Google Scholar 

  17. Thompson FE, Kipnis V, Subar AF, Krebs-Smith SM, Kahle LL, Midthune D et al. Evaluation of 2 brief instruments and a food-frequency questionnaire to estimate daily number of servings of fruit and vegetables. Am J Clin Nutr 2000; 71: 1503–1510.

    Article  CAS  Google Scholar 

  18. Shannon J, Kristal AR, Curry SJ, Beresford SA . Application of a behavioral approach to measuring dietary change: the fat- and fiber-related diet behavior questionnaire. Cancer Epidemiol Biomarkers Prev 1997; 6: 355–361.

    CAS  PubMed  Google Scholar 

  19. Bogers RP, Van Assema P, Kester ADM, Westerterp KR, Dagnelie PC . Reproducibility, validity, and responsiveness to change of a short questionnaire for measuring fruit and vegetable intake. Am J Epidemiol 2004; 159: 900–909.

    Article  Google Scholar 

  20. Retzlaff BM, Dowdy AA, Walden CE, Bovbjerg VE, Knopp RH . The Northwest Lipid Research Clinic Fat Intake Scale: validation and utility. Am J Public Health 1997; 87: 181–185.

    Article  CAS  Google Scholar 

  21. Glasgow RE, Perry JD, Toobert DJ, Hollis JF . Brief assessments of dietary behavior in field settings. Addict Behav 1996; 21: 239–247.

    Article  CAS  Google Scholar 

  22. Calfas KJ, Zabinski MF, Rupp J . Practical nutrition assessment in primary care settings: a review. Am J Prev Med 2000; 18: 289–299.

    Article  CAS  Google Scholar 

  23. National Cancer Institute Register of Validated Short Dietary Assessment Instruments. National Institutes of Health, 2013, Available from http://appliedresearch.cancer.gov/diet/shortreg/ (Accessed 11 February 2015).

  24. Eckel RH, Jakicic JM, Ard JD, Miller NH, Hubbard VS, Nonas CA et al. 2013 AHA/ACC guideline on lifestyle management to reduce cardiovascular risk: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. J Am Coll Cardiol 2013; 63 (25 Pt B), 2960–2984.

    PubMed  Google Scholar 

  25. Dyson PA, Kelly T, Deakin T, Duncan A, Frost G, Harrison Z et alDiabetes UK Nutrition Working Group. Diabetes UK evidence-based nutrition guidelines for the prevention and management of diabetes. Diabet Med 2011; 28: 1282–1288.

    Article  CAS  Google Scholar 

  26. WHO/FAO Diet, nutrition and the prevention of chronic diseases 2002: World Health Organisation: Geneva.

  27. Konrad TR, Link CL, Shackelton RJ, Marceau LD, von dem Knesebeck O, Siegrist J et al. It's about time: physicians' perceptions of time constraints in primary care medical practice in three national healthcare systems. Med Care 2010; 48: 95–100.

    Article  Google Scholar 

  28. Bailey RL, Miller PE, Mitchell DC, Hartman TJ, Lawrence FR, Sempos CT et al. Dietary screening tool identifies nutritional risk in older adults. Am J Clin Nutr 2009; 90: 177–183.

    Article  CAS  Google Scholar 

  29. Gans KM, Risica PM, Wylie-Rosett J, Ross EM, Strolla LO, McMurray J et al. Development and evaluation of the nutrition component of the Rapid Eating and Activity Assessment for Patients (REAP): a new tool for primary care providers. J Nutr Educ Behav 2006; 38: 286–292.

    Article  Google Scholar 

  30. Ling AM, Horwath C, Parnell W . Validation of a short food frequency questionnaire to assess consumption of cereal foods, fruit and vegetables in Chinese Singaporeans. Eur J Clin Nutr 1998; 52: 557–564.

    Article  CAS  Google Scholar 

  31. Peters JR, Quiter ES, Brekke ML, Admire J, Brekke MJ, Mullis RM et al. The eating pattern assessment tool: A simple instrument for assessing dietary fat and cholesterol intake. J Am Diet Assoc 1994; 94: 1008–1013.

    Article  CAS  Google Scholar 

  32. Banna JC, Vera Becerra LE, Kaiser LL, Townsend MS . Using qualitative methods to improve questionnaires for Spanish speakers: assessing face validity of a food behavior checklist. J Am Diet Assoc 2010; 110: 80–90.

    Article  Google Scholar 

  33. Cade J, Thompson R, Burley V, Warm D . Development, validation and utilisation of food-frequency questionnaires – a review. Public Health Nutr 2002; 5: 567–587.

    Article  Google Scholar 

  34. Gleason PM, Harris J, Sheean PM, Boushey CJ, Bruemmer B . Publishing nutrition research: validity, reliability, and diagnostic test assessment in nutrition-related research. J Am Diet Assoc 2010; 110: 409–419.

    Article  Google Scholar 

  35. Block G, Hartman AM . Issues in reproducibility and validity of dietary studies. Am J Clin Nutr 1989; 50: 1133–1138.

    Article  CAS  Google Scholar 

  36. 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: 172–188.

    Article  Google Scholar 

  37. Kaaks RJ . Biochemical markers as additional measurements in studies of the accuracy of dietary questionnaire measurements: conceptual issues. Am J Clin Nutr 1997; 65: 1232S–1239S.

    Article  CAS  Google Scholar 

  38. Arab L, Akbar J . Biomarkers and the measurement of fatty acids. Public Health Nutr 2002; 5: 865–871.

    Article  Google Scholar 

  39. Paxton AE, Strycker LA, Toobert DJ, Ammerman AS, Glasgow RE . Starting the conversation: performance of a brief dietary assessment and intervention tool for health professionals. Am J Prev Med 2011; 40: 67–71.

    Article  Google Scholar 

  40. Willett WC (ed). Nutritional Epidemiology 2nd edition. Oxford University Press Inc.: New York, 1998.

  41. Cade JE, Burley VJ, Warm DL, Thompson RL, Margetts BM . Food-frequency questionnaires: a review of their design, validation and utilisation. Nutr Res Rev 2004; 17: 5–22.

    Article  CAS  Google Scholar 

  42. Wakimoto P, Block G, Mandel S, Medina N . Development and reliability of brief dietary assessment tools for Hispanics. Prev Chronic Dis 2006; 3: A95.

    PubMed  PubMed Central  Google Scholar 

  43. Townsend MS, Sylva K, Martin A, Metz D, Wooten-Swanson P . Improving readability of an evaluation tool for low-income clients using visual information processing theories. J Nutr Educ Behav 2008; 40: 181–186.

    Article  Google Scholar 

  44. Banna JC, Townsend MS . Assessing factorial and convergent validity and reliability of a food behaviour checklist for Spanish-speaking participants in US Department of Agriculture nutrition education programmes. Public Health Nutr 2011; 14: 1165–1176.

    Article  Google Scholar 

  45. Kristal AR, Abrams BF, Thornquist MD, Disogra L, Croyle RT, Shattuck AL et al. Development and validation of a food use checklist for evaluation of community nutrition interventions. Am J Public Health 1990; 80: 1318–1322.

    Article  CAS  Google Scholar 

  46. Birkett NJ, Boulet J . Validation of a food habits questionnaire: poor performance in male manual laborers. J Am Diet Assoc 1995; 95: 558–563.

    Article  CAS  Google Scholar 

  47. Spoon MP, Devereux PG, Benedict JA, Leontos C, Constantino N, Christy D et al. Usefulness of the food habits questionnaire in a worksite setting. J Nutr Educ Behav 2002; 34: 268–272.

    Article  Google Scholar 

  48. Kristal AR, Curry SJ, Shattuck AL, Feng Z, Li S . A randomized trial of a tailored, self-help dietary intervention: The Puget Sound Eating Patterns Study. Prev Med 2000; 31: 380–389.

    Article  CAS  Google Scholar 

  49. Kristal AR, Shattuck AL, Patterson RE . Differences in fat-related dietary patterns between black, Hispanic and white women: results from the Women's Health Trial Feasibility Study in Minority Populations. Public Health Nutr 1999; 2: 253–262.

    Article  CAS  Google Scholar 

  50. O'Reilly SL, McCann LR . Development and validation of the Diet Quality Tool for use in cardiovascular disease prevention settings. Aust J Prim Health 2012; 18: 138–147.

    Article  CAS  Google Scholar 

  51. Bailey RL, Mitchell DC, Miller CK, Still CD, Jensen GL, Tucker KL et al. A dietary screening questionnaire identifies dietary patterns in older adults. J Nutr 2007; 137: 421–426.

    Article  CAS  Google Scholar 

  52. Townsend MS, Kaiser LL, Allen LH, Joy AB, Murphy SP . Selecting items for a food behavior checklist for a limited-resource audience. J Nutr Educ Behav 2003; 35: 69–77.

    Article  Google Scholar 

  53. Greenwood JLJ, Murtaugh MA, Omura EM, Alder SC, Stanford JB . Creating a clinical screening questionnaire for eating behaviors associated with overweight and obesity. J Am Board Fam Med 2008; 21: 539–548.

    Article  Google Scholar 

  54. Fernandez S, Olendzki B, Rosal MC . A dietary behaviors measure for use with low-income, Spanish-speaking Caribbean Latinos with type 2 diabetes: The Latino Dietary Behaviors Questionnaire. J Am Diet Assoc 2011; 111: 589–599.

    Article  Google Scholar 

  55. 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  CAS  Google Scholar 

  56. Schroder H, Fito M, Estruch R, Martinez-Gonzalez MA, Corella D, Salas-Salvado J et al. A short screener is valid for assessing Mediterranean diet adherence among older Spanish men and women. J Nutr 2011; 141: 1140–1145.

    Article  CAS  Google Scholar 

  57. Van Assema P, Brug J, Kok G, Brants H . The reliability and validity of a Dutch questionnaire on fat consumption as a means to rank subjects according to individual fat intake. Eur J Cancer Prev 1992; 1: 375–380.

    Article  CAS  Google Scholar 

  58. Beliard S, Coudert M, Valero R, Charbonnier L, Duchene E, Allaert FA et al. Validation of a short food frequency questionnaire to evaluate nutritional lifestyles in hypercholesterolemic patients. Ann Endocrinol (Paris) 2012; 73: 523–529.

    Article  Google Scholar 

  59. Dobson AJ, Blijlevens R, Alexander HM, Croce N, Heller RF, Higginbotham N et al. Short fat questionnaire: a self-administered measure of fat-intake behaviour. Aust J Public Health 1993; 17: 144–149.

    Article  CAS  Google Scholar 

  60. Kraschnewski JL, Gold AD, Gizlice Z, Johnston LF, Garcia BA, Samuel-Hodge CD et al. Development and evaluation of a brief questionnaire to assess dietary fat quality in low-income overweight women in the Southern United States. J Nutr Educ Behav 2013; 45: 355–361.

    Article  Google Scholar 

  61. Heller RF, Tunstall Pedoe HD, Rose G . A simple method of assessing the effect of dietary advice to reduce plasma cholesterol. Prev Med 1981; 10: 364–370.

    Article  CAS  Google Scholar 

  62. Taylor A, Wong H, Wish K, Carrow J, Bell D, Bindeman J et al. Validation of the MEDFICTS dietary questionnaire: A clinical tool to assess adherence to American Heart Association dietary fat intake guidelines. Nutr J 2003; 2: 4.

    Article  Google Scholar 

  63. Teal CR, Baham DL, Gor BJ, Jones LA . Is the MEDFICTS rapid dietary fat screener valid for premenopausal African-American women? J Am Diet Assoc 2007; 107: 773–781.

    Article  Google Scholar 

  64. Mochari H, Gao Q, Mosca L . Validation of the MEDFICTS dietary assessment questionnaire in a diverse population. J Am Diet Assoc 2008; 108: 817–822.

    Article  Google Scholar 

  65. Francis H, Stevenson R . Validity and test–retest reliability of a short dietary questionnaire to assess intake of saturated fat and free sugars: a preliminary study. J Hum Nutr Diet 2013; 26: 234–242.

    Article  CAS  Google Scholar 

  66. Godin G, Belanger-Gravel A, Paradis A-m, Vohl M-C, Perusse L . A simple method to assess fruit and vegetable intake among obese and non-obese individuals. Can J Public Health 2008; 99: 494–498.

    PubMed  Google Scholar 

  67. Kristal AR, Vizenor NC, Patterson RE, Neuhouser ML, Shattuck AL, McLerran D . Precision and Bias of Food Frequency-based Measures of Fruit and Vegetable Intakes. Cancer Epidemiol Biomarkers Prev 2000; 9: 939–944.

    CAS  PubMed  Google Scholar 

  68. Mainvil LA, Horwath CC, McKenzie JE, Lawson R . Validation of brief instruments to measure adult fruit and vegetable consumption. Appetite 2011; 56: 111–117.

    Article  Google Scholar 

  69. Francis H, Stevenson R . Validity and test–retest reliability of a short dietary questionnaire to assess intake of saturated fat and free sugars: a preliminary study. J Hum Nutr Diet 2012; 26: 234–242.

    Article  Google Scholar 

  70. 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  Google Scholar 

  71. Atkinson G, Nevill A . Statistical methods for assessing measurement error (reliability) in variables relevant to sports medicine. Sports Med 1998; 26: 217–238.

    Article  CAS  Google Scholar 

  72. Bland JM, Altman DG . Measuring agreement in method comparison studies. Stat Methods Med Res 1999; 8: 135–160.

    Article  CAS  Google Scholar 

  73. Whitton C, Nicholson SK, Roberts C, Prynne CJ, Pot GK, Olson A et al. National Diet and Nutrition Survey: UK food consumption and nutrient intakes from the first year of the rolling programme and comparisons with previous surveys. Br J Nutr 2011; 106: 1899–1914.

    Article  CAS  Google Scholar 

Download references

Acknowledgements

We thank the developers of brief questionnaires who provided access to their questionnaires for evaluation, their scoring algorithms and supplementary information on usage and copyright. We thank Amir Emadian for independent data extraction on 25% of the included papers. Clare England is supported by NIHR Clinical Doctoral Research Fellowship 10-017. The study was carried out at The University of Bristol, Senate House, Tyndall Avenue, Bristol BS8 1TH.

Author Contributions

The work contained in this article is part of the PhD of Clare England which is supervised by Drs’ Andrews, Jago and Thompson. All authors assisted in the design of the data extraction form and development of the search strategy. Ms England screened all titles and abstracts and extracted the data with advice on clinical application from Dr Andrews and final inclusion from Professor Thompson. Professor Jago provided analytical guidance. The first draft of the manuscript was prepared by Ms England with critical input and revisions by all other authors. All authors approved the final manuscript.

Declaration

This submission represents original work that has not been published previously and it is not being considered for publication elsewhere.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to C Y England.

Ethics declarations

Competing interests

The authors declare no conflict of interest.

Additional information

Supplementary Information accompanies this paper on European Journal of Clinical Nutrition website

Supplementary information

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

England, C., Andrews, R., Jago, R. et al. A systematic review of brief dietary questionnaires suitable for clinical use in the prevention and management of obesity, cardiovascular disease and type 2 diabetes. Eur J Clin Nutr 69, 977–1003 (2015). https://doi.org/10.1038/ejcn.2015.6

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/ejcn.2015.6

This article is cited by

Search

Quick links