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Calibration of the dietary questionnaire for the Canadian Study of Diet, Lifestyle and Health cohort

  • Meera G Jain (a1), Thomas E Rohan (a2), Colin L Soskolne (a3) and Nancy Kreiger (a4)

Abstract

Objective:

For proper interpretation of results from epidemiological studies that use food-frequency questionnaires (FFQs), it is necessary to know the relationship between reported intakes from the FFQ and true usual intake. In this paper, we report a calibration study conducted to investigate the performance of the FFQ used in a cohort study, the Canadian Study of Diet, Lifestyle and Health.

Methods:

Over a 1-year period, 151 men and 159 women completed a full set of questionnaires including a self-administered baseline FFQ, three 24-hour diet recalls administered by telephone, and a second FFQ self-administered subsequently. The association between the nutrient estimates derived from the FFQs and the diet recalls was evaluated by calculating deattenuated Pearson's correlation coefficients.

Results:

The FFQs estimated mean daily nutrient intakes higher than the diet recalls. When the log-transformed and energy-adjusted nutrient intakes from the average of three 24-hour recalls were compared against the baseline FFQ, the following deattenuated correlations were obtained in men and women, respectively: total energy 0.44 and 0.32, total fat 0.64 and 0.68, saturated fat 0.68 and 0.70, dietary fibre 0.65 and 0.44, vitamin E 0.32 and 0.37, vitamin C 0.40 and 0.37, β-carotene 0.34 and 0.29, alcohol 0.74 and 0.67, caffeine 0.81 and 0.76, with a median correlation of 0.49 and 0.53. Correlations between the second FFQ and diet recalls were similar. The correlations between the two FFQs as a test of reliability had a median value 0.64 for men and 0.63 for women for selected nutrients.

Conclusions:

The study suggests that the FFQ method gives acceptable levels of nutrients or food component estimates, as assessed by this calibration study against diet recalls, when limited to energy-adjusted and deattenuated values.

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Copyright

Corresponding author

*Corresponding author: Email meera.jain@utoronto.ca

References

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1Stram, DO, Hankin, JH, Wilkens, LR, et al. Calibration of the dietary questionnaire for a multiethnic cohort in Hawaii and Los Angeles. Am. J. Epidemiol. 2000; 151: 358–70.
2Carroll, RJ, Pee, D, Freedman, LS, et al. Statistical design of calibration studies. Am. J Clin. Nutr. 1997; 65(Suppl.): 1187S–9S.
3. Willett, W. Nutritional Epidemiology. New York: Oxford University Press, 1998.
4Stram, DO, Longnecker, MP, Shames, L, et al. Cost effective design of a diet validation study. Am. J. Epidemiol. 1995; 142: 353–62.
5Kaaks, R, Riboli, E. Validation and calibration of dietary intake measurements in the EPIC project: methodological considerations. Int. J. Epidemiol. 1997; 26(Suppl. 1): S15–25.
6Jain, M, Harrison, L, Howe, GR, et al. Evaluation of a selfadministered dietary questionnaire for use in a cohort study. Am. J. Clin. Nutr. 1982; 36: 931–5.
7Miller, AB, Howe, GR, Wall, C. The national study of breast cancer screening. Clin. Invest. Med. 1981; 4: 227–58.
8Jain, M, Howe, GR, Rohan, T. Dietary assessment in epidemiology: comparison of a food frequency and a diet history questionnaire with 7-day food records. Am. J. Epidemiol. 1996; 143: 953–60.
9 Health Canada. Canadian Nutrient File. Ottawa: Nutrition Research Division, Health Canada, 1997.
10Mangels, AR, Holden, JM, Beecher, GR, et al. The carotenoid content of fruits and vegetables: an evaluation of analytic data. J. Am. Diet. Assoc. 1993; 93: 284–96.
11 National Cancer Institute. NFCS Classification System. National Food Consumption Survey. US Department of Agriculture. Bethesda, MD: National Cancer Institute, 1993.
12Willett, WC, Stampfer, MJ. Total energy intake: implications for epidemiologic analyses. Am. J. Epidemiol. 1986; 124: 1727.
13Rosner, B, Willett, WC. Interval estimates for correlation coefficients corrected for within-person variation: implications for study design and hypothesis testing. Am. J. Epidemiol. 1988; 127: 377–86.
14Hu, FB, Rimm, E, Smith-Warner, SA, et al. Reproducibility and validity of dietary patterns associated with a food-frequency questionnaire. Am. J. Clin. Nutr. 1999; 69: 243–9.
15 Statistics Canada. Personal health practices: smoking, drinking, physical activity and weight. Health Reports 1999; 11: 83–90.
16Bright-See, E, Catlin, G, Godin, G. Assessment of the relative validity of the Ontario Health Survey Food Frequency Questionnaire. J. Can. Diet. Assoc. 1994; 55: 33–8.
17Willett, WC, Sampson, L, Stampfer, MJ, et al. Reproducibility and validity of a semiquantitative food frequency questionnaire. Am. J. Epidemiol. 1985; 122(1): 5165.
18Kroke, A, Klipstein-Grobusch, K, Voss, S, et al. 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. 1999; 70(4): 439–47.
19Kaaks, R, Slamani, N, Riboli, E. Pilot phase studies on the accuracy of dietary intake measurements in the EPIC project: overall evaluation of results. Int. J. Epidemiol. 1997; 26: S26–36.
20Black, AE. Physical activity levels from a meta-analysis of doubly labeled water studies for validating energy intake as measured by dietary assessment. Nutr. Rev. 1996; 54: 170–4.
21Martínez, ME, Marshall, JR, Graver, E, et al. Reliability and validity of a self-administered food frequency questionnaire in a chemoprevention trial of adenoma recurrence. Cancer Epidemiol. Biomark. Prev. 1999; 8: 941–6.
22Subar, AF, Thompson, FE, Kipnis, V, et al. Comparative validation of the Block, Willett, and National Cancer Institute food frequency questionnaires: the Eating at America's Table Study. Am. J. Epidemiol. 2001; 154(12): 1089–99.
23Rimm, EB, Giovannucci, EL, Stampfer, MJ, et al. Reproducibility and validity of an expanded self-administered semiquantitative food frequency questionnaire among male health professionals. Am. J. Epidemiol. 1992; 135: 1114–26.
24Hankin, JH, Wilkens, LR, Kolonel, LN, et al. Validation of a quantitative diet history method in Hawaii. Am. J. Epidemiol. 1991; 133: 616–28.
25Lee, J. Use of regression adjustment for ascertaining nutrient intakes. J. Am. Diet. Assoc. 1981; 78: 245–9.
26Thomas, D, Stram, D, Dwyer, J. Exposure measurement error: influence on exposure–disease relationships and methods of correction. Ann. Public Health 1993; 14: 6993.
27Black, AE, Prentice, AM, Goldberg, G, et al. Measurements of total energy expenditure provide insights into the validity of dietary measurements of energy intake. J. Am. Diet. Assoc. 1993; 93: 572–9.
28Schaefer, EJ, Augustin, JL, Schaefer, MM, et al. Lack of efficacy of a food-frequency questionnaire in assessing dietary macronutrient intakes in participants consuming diets of known composition. Am. J. Clin. Nutr. 2000; 71: 746–51.
29Kaaks, R, Riboli, E, van Staveren, W. Calibration of dietary intake measurements in prospective cohort studies. Am. J. Epidemiol. 1995; 142(5): 548–56.
30Rosner, B, Willett, W, Spiegelman, D. Correction of logistic regression relative risk estimates and confidence intervals for systematic within-person measurement error. Stat. Med. 1989; 8: 1051–69.
31Jain, M, McLaughlin, J. Validity of nutrient estimates by food frequency questionnaires based either on exact frequencies or categories. Ann. Epidemiol. 2000; 10: 354–60.
32Kipnis, V, Carroll, RJ, Freedman, LS, et al. Implications of a new dietary measurement error model for estimation of relative risk: application to four calibration studies. Am. J. Epidemiol. 2000; 152(5): 494–6.
33Kipnis, V, Midthune, D, Freedman, LS, et al. Empirical evidence of correlated biases in dietary assessment instruments and its implications. Am. J. Epidemiol. 2001; 153(4): 394403.

Keywords

Calibration of the dietary questionnaire for the Canadian Study of Diet, Lifestyle and Health cohort

  • Meera G Jain (a1), Thomas E Rohan (a2), Colin L Soskolne (a3) and Nancy Kreiger (a4)

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