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Epidemiology

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

Abstract

Background/Objectives:

Adults often misreport dietary intake; the magnitude varies by the methods used to assess diet and classify participants. The objective was to quantify the accuracy of the Goldberg method for categorizing misreporters on a food frequency questionnaire (FFQ) and two 24-h recalls (24HRs).

Subjects/Methods:

We compared the Goldberg method, which uses an equation to predict total energy expenditure (TEE), with a criterion method that uses doubly labeled water (DLW), in a study of 451 men and women. Underreporting was classified using recommended cut points and calculated values. Sensitivity and specificity, positive predictive value (PPV) and negative predictive value and the area under the receiver operating characteristic curve (AUC) were calculated. Predictive models of underreporting were contrasted for the Goldberg and DLW methods.

Results:

AUCs were 0.974 and 0.972 on the FFQ, and 0.961 and 0.938 on the 24HR for men and women, respectively. The sensitivity of the Goldberg method was higher for the FFQ (92%) than the 24HR (50%); specificity was higher for the 24HR (99%) than the FFQ (88%); PPV was high for the 24HR (92%) and FFQ (88%). Simulation studies indicate attenuation in odds ratio estimates and reduction of power in predictive models.

Conclusions:

Although use of the Goldberg method may lead to bias and reduction in power in predictive models of underreporting, the method has high predictive value for both the FFQ and the 24HR. Thus, in the absence of objective measures of TEE or physical activity, the Goldberg method is a reasonable approach to characterize underreporting.

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References

  • Black AE (2000a). 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 24, 1119–1130.

    Article  CAS  PubMed  Google Scholar 

  • Black AE (2000b). The sensitivity and specificity of the Goldberg cut-off for EI:BMR for identifying diet reports of poor validity. Eur J Clin Nutr 54, 395–404.

    Article  CAS  PubMed  Google Scholar 

  • Black AE, Goldberg GR, Jebb SA, Livingstone MB, Cole TJ, Prentice AM (1991). Critical evaluation of energy intake data using fundamental principles of energy physiology: 2. Evaluating the results of published surveys. Eur J Clin Nutr 45, 583–599.

    CAS  PubMed  Google Scholar 

  • Conway JM, Ingwersen LA, Moshfegh AJ (2004). Accuracy of dietary recall using the USDA five-step multiple-pass method in men: an observational validation study. J Am Diet Assoc 104, 595–603.

    Article  PubMed  Google Scholar 

  • Conway JM, Ingwersen LA, Vinyard BT, Moshfegh AJ (2003). Effectiveness of the US Department of Agriculture 5-step multiple-pass method in assessing food intake in obese and nonobese women. Am J Clin Nutr 77, 1171–1178.

    Article  CAS  PubMed  Google Scholar 

  • Crowne DP, Marlowe D (1960). A new scale of social desirability independent of psychopathology. J Consult Pyschol 24, 349–354.

    Article  CAS  Google Scholar 

  • Drummond SE, Crombie NE, Cursiter MC, Kirk TR (1998). Evidence that eating frequency is inversely related to body weight status in male, but not female, non-obese adults reporting valid dietary intakes. Int J Obes Relat Metab Disord 22, 105–112.

    Article  CAS  PubMed  Google Scholar 

  • Fischer DG, Fick C (1993). Measuring social desirability-short forms of the marlowe-crowne social desirability scale. Educ Psychol Meas 53, 417–424.

    Article  Google Scholar 

  • Goldberg GR, Black AE, Jebb SA, Cole TJ, Murgatroyd PR, Coward WA et al (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, 569–581.

    CAS  PubMed  Google Scholar 

  • Hill RJ, Davies PS (2001). The validity of self-reported energy intake as determined using the doubly labelled water technique. Br J Nutr 85, 415–430.

    Article  CAS  PubMed  Google Scholar 

  • Hosmer DW, Lemeshow S (2000). Applied Logistic Regression, 2nd edn. John Wiley & Sons Inc: New York, NY, USA.

    Book  Google Scholar 

  • Huang TTK, Roberts SB, Howarth NC, McCrory MA (2005). Effect of screening out implausible energy intake reports on relationships between diet and BMI. Obesity Res 13, 1205–1217.

    Article  Google Scholar 

  • Kipnis V, Subar AF, Midthune D, Freedman LS, Ballard-Barbash R, Troiano R et al. (2003). The structure of dietary measurement error: results of the OPEN biomarker study. Am J Epidemiol 158, 14–21.

    Article  PubMed  Google Scholar 

  • Leary MR (1983). A brief version of the fear of negative evaluation scale. Pers Soc Psychol Bull 9, 371–375.

    Article  Google Scholar 

  • Livingstone MB, Black AE (2003). Markers of the validity of reported energy intake. J Nutr 133 (Suppl 3), 895S–920S.

    Article  CAS  PubMed  Google Scholar 

  • Livingstone MB, Robson PJ, Black AE, Coward WA, Wallace JM, McKinley MC et al (2003). An evaluation of the sensitivity and specificity of energy expenditure measured by heart rate and the Goldberg cut-off for energy intake: basal metabolic rate for identifying mis-reporting of energy intake by adults and children: a retrospective analysis. Eur J Clin Nutr 57, 455–463.

    Article  CAS  PubMed  Google Scholar 

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

    Article  CAS  PubMed  Google Scholar 

  • Moshfegh AJ, Rhodes DG, Baer DJ, Murayi T, Clemens JC, Rumpler WV et al (2008). The US department of agriculture automated multiple-pass method reduces bias in the collection of energy intakes. Am J Clin Nutr 88, 324–332.

    Article  CAS  PubMed  Google Scholar 

  • Racette SB, Schoeller DA, Luke AH, Shay K, Hnilicka J, Kushner RF (1994). Relative dilution spaces of 2H- and 18O-labeled water in humans. Am J Physiol 267, E585–E590.

    CAS  PubMed  Google Scholar 

  • Schoeller DA (1992). Isotope Dilution Methods. In: Björntorp P, Brodoff BN (eds). Obesity. JB Lippincott Co: New York, NY, USA, pp 80–88.

    Google Scholar 

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

    PubMed  Google Scholar 

  • Strahan R, Gerbasi K (1972). Short, homogeneous versions of the Marlowe-Crowne social desirability scale. J Clin Psychol 28, 191–193.

    Article  Google Scholar 

  • Stunkard AJ, Messick S (1985). The three-factor eating questionnaire to measure dietary restraint, disinhibition and hunger. J Psychosom Res 29, 71–83.

    Article  CAS  PubMed  Google Scholar 

  • Stunkard AJ, Sorensen T, Schulsinger F (1982). Use of the Danish Adoption Register for the study of obesity and thinness. Res Publ Assoc Res Nerv Ment Dis 60, 115–120.

    Google Scholar 

  • Subar AF, Kipnis V, Troiano RP, Midthune D, Schoeller DA, Bingham S et al (2003). Using intake biomarkers to evaluate the extent of dietary misreporting in a large sample of adults: the OPEN study. Am J Epidemiol 158, 1–13.

    Article  PubMed  Google Scholar 

  • Subar AF, Thompson FE, Kipnis V, Midthune D, Hurwitz P, McNutt S et al (2001). Comparative validation of the Block, Willett, and National Cancer Institute food frequency questionnaires: the Eating at America's Table Study. Am J Epidemiol 154, 1089–1099.

    Article  CAS  PubMed  Google Scholar 

  • 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, 795–804.

    Article  CAS  PubMed  Google Scholar 

  • Trabulsi J, Troiano RP, Subar AF, Sharbaugh C, Kipnis V, Schatzkin A et al (2003). Precision of the doubly labeled water method in a large-scale application: evaluation of a streamlined-dosing protocol in the Observing Protein and Energy Nutrition (OPEN) study. Eur J Clin Nutr 57, 1370–1377.

    Article  CAS  PubMed  Google Scholar 

  • Troiano RP, Berrigan D, Dodd KW, Mâsse LC, Tilert T, McDowell M (2008). Physical activity in the United States measured by accelerometer. Med Sci Sports Exerc 40, 181–188.

    Article  PubMed  Google Scholar 

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Acknowledgements

This work was supported by a contract from the National Cancer Institute (263-MQ-612378). We thank Kristen Beavers, Sharon Kirkpatrick and Anne Rodgers for helpful suggestions on the manuscript. We would also like to acknowledge the contribution of Arthur Schatzkin to the conception and conduct of the OPEN Study, and his contributions to this manuscript.

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Correspondence to J A Tooze.

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

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Tooze, J., Krebs-Smith, S., Troiano, R. et al. 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 66, 569–576 (2012). https://doi.org/10.1038/ejcn.2011.198

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