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Magnitude, determinants and impact of under-reporting of energy intake in a cohort study in Greece

Published online by Cambridge University Press:  01 June 1998

Charalambos Gnardellis
Affiliation:
Department of Nutrition and Biochemistry, National School of Public Health, Athens, Greece
Chariklia Boulou
Affiliation:
Department of Nutrition and Biochemistry, National School of Public Health, Athens, Greece
Antonia Trichopoulou*
Affiliation:
Department of Nutrition and Biochemistry, National School of Public Health, Athens, Greece
*
*Corresponding author: Fax: +30 (1)6436536
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Abstract

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Objectives:

To investigate the frequency and the determinants of under-reporting in a semi-quantitative food frequency questionnaire used in the Greek segment of the European Prospective Study on Nutrition, Cancer and Health (EPIC study).

Design:

A food frequency questionnaire was completed by 9262 adult men and women. The questions included in this questionnaire covered the average intake of approximately 150 food items and beverages over 1 year. Evaluation of under-reporting was conducted on an individual basis taking into account the expected daily variation of nutritional intakes during the time period of recording. Individuals whose energy intake was lower than 1.14*BMR (basal metabolic rate) were defined as under-reporters.

Setting:

Urban and rural population of Greece.

Results:

The data indicated underestimation of energy intake by 11.8% of individuals enrolled. Results from a logistic regression model indicated that body mass index (BMI), gender, age and educational level were significant predictors of under-reporting. The proportion of overweight participants (BMI>30) who tend to under-report energy intake was more than twice that of normal-weight individuals. Men were significantly more prone to under-reporting compared to women, while low education individuals under-report more often than others. Exclusion of under-reporters generated, as expected, mean nutrient values that were significantly higher (by about 6%) than those derived from the total number of participants. When the nutrient values were energy-adjusted, however, or were expressed as percentages of energy intake for macronutrients or as nutrient densities for micronutrients, the emerging differences were minimal and generally statistically not significant.

Conclusions:

Under-reporting does exist and it is more extensive among men, those with low education levels and the overweight participants. Adjustment for energy intake minimizes the bias generated by under-reporting with respect to particular nutrients and their association with various disease outcomes in the cohort.

Type
Research Article
Copyright
Copyright © CABI Publishing 1998

References

1Coward, WA. The doubly-labelled water (2H218O) method: principles and practice. Proc. Nutr. Soc. 1988; 47: 209–18.CrossRefGoogle ScholarPubMed
2Schoeller, DA, Bandini, LG, Dietz, WH. Inaccuracies in self-reported intake identified by comparison with the doubly-labelled water method. Can. J. Physiol. Pharmacol. 1990; 68: 941–9.CrossRefGoogle ScholarPubMed
3Goldberg, GR, Black, AE, Jebb, SA, Cole, TJ, Murgatroyd, PR, Coward, WA, prentice, AM. Critical evaluation of energy intake data using fundamental principles of energy physiology: 1. Derivation of cut-off values to identify under recording. Eur. J. Clin. Nutr. 1991; 45: 569–81.Google Scholar
4Black, AE, Goldberg, GR, Jebb, SA, Livingstone, MBE, Cole, TJ, Prentice, AM. Critical evaluation of energy intake data using fundamental principles of energy physiology: 2. Evaluating the results of published surveys. Eur J Clin Nutr. 1991; 45: 583–99.Google ScholarPubMed
5Haraldsdottir, J, Sandstrom, B. Detection of underestimated energy intake in young adults. Int. J. Epidemiol. 1994; 23: 577–82.CrossRefGoogle ScholarPubMed
6International Agency for Research on Cancer (IARC). European Prospective Study on Nutrition Cancer and Health. Report on-going activities no. 3. Lyon, France: IARC, 1991.Google Scholar
7Riboli, E. Nutrition and cancer: background and rationale of the European Prospective Investigation into Cancer and Nutrition (EPIC). Ann. Oncol. 1992; 3: 783–91.CrossRefGoogle ScholarPubMed
8Trichopoulos, D, Tzonou, A, Katsouyanni, K, Trichopoulou, A. Diet and cancer: methodological complexities and case-control studies in Greece. In: Mettlin, CJ, Aoki, K, eds. Recent Progress in Research on Nutrition and Cancer. New York: Wiley-Liss, 1990; 4553.Google Scholar
9Willett, WC, Sampson, L, Stampfer, MJ, et al. , Reproducibility and validity of a semiquantitative food frequency questionnaire. Am. J. Epidemiol. 1985; 122: 5165.CrossRefGoogle ScholarPubMed
10Rimm, EB, Giovannucci, EL, Stampfer, MJ, Colditz, GA, Litin, LB, Willett, WC. Reproducibility and validity of an expanded self-administered semiquantitative food frequency questionnaire among male health professionals. Am. J. Epdemiol. 1992; 135: 1114–26.CrossRefGoogle ScholarPubMed
11Gnardellis, C, Trichopoulou, A, Katsouyanni, K, Polychronopoulos, E, Rimm, EB, Trichopoulos, D. Reproducibility and validity of an extensive semi-quantitative Food Frequency Questionnaire among Greek school teachers. Epidemiology 1994; 6: 74–7.CrossRefGoogle Scholar
12Katsouyanni, K, Rimm, EB, Gnardellis, C, Trichopoulos, D, Polychronopoulos, E, Trichopoulou, A. Reproducibility and relative validity of an extensive semi-quantitative Food Frequency Questionnaire using dietary records and biochemical markers among greek school teachers. Int. J. Epidemiol. 1997; 26(suppl. 1): S118–277.CrossRefGoogle Scholar
13Trichopoulou, A. Composition of Greek Foods and Dishes (in Greek and English). Athens: National School of Public Health, 1992.Google Scholar
14Schofield, WN, Schofield, C, James, WPT. Basal metabolic rate. Hum. Nutr. Clin. Nutr. 1985; 39C (suppl. 1): 196.Google Scholar
15FAO/WHO/UNU. Report of a joint expert consultation. Energy and Protein Requirements. WHO Technical Report Series no. 724. Geneva: WHO, 1985.Google Scholar
16Nelson, M, Black, AE, Morris, JA, Cole, TJ. Between- and within-subject variation in nutrient intake from infancy to old age: estimating the numbers of days required to rank dietary intakes with desired precision. Am. J. Clin. Nutr. 1989; 50: 155–67.CrossRefGoogle ScholarPubMed
17Hallfrisch, JJ, Steele, P, Cohen, L. Comparison of 7-day diet record with measured food intake of 24 subjects. Nutr. Res. 1982; 2: 263–73.CrossRefGoogle Scholar
18Lissner, L, Habicht, J, Strupp, BJ, Levitsky, DA, Haas, JD, Roe, DA. Body composition and energy intake: do overweight women overeat and under-report. Am. J. Clin. Nutr. 1989; 49: 320–5.CrossRefGoogle Scholar
19Lichtman, SW, Pisarska, K, Berman, ER, et al. Discrepancy between self-reported and actual caloric intake and exercise in obese subjects. N. Engl. J. Med. 1992; 327: 1893–8.CrossRefGoogle ScholarPubMed
20Ballard-Barbash, R, Graubard, I, Krebs-Smith, SM, Schatzkin, A, Thompson, FE. Contribution of dieting to the inverse association between energy intake and body mass index. Eur. J. Clin. Nutr. 1996; 50: 98106.Google Scholar
21Smith, WT, Webb, KL, Heywood, PF. The implications of underreporting in dietary studies. Aust. J. Publ. Health 1994; 18: 311–14.CrossRefGoogle ScholarPubMed
22Hirvonen, T, Mannisto, S, Roos, E. Pietinen, P. Increasing prevalence of underreporting does not necessarily distort dietary surveys. Eur. J. Clin. Nutr. 1997; 51: 297301.CrossRefGoogle Scholar
23Heitmann, BL, Lissner, L. Dietary underreporting by obese individuals – is it specific or non-specific? Br. Med. J. 1995; 311: 986–9.CrossRefGoogle ScholarPubMed
24Bandini, LG, Schoeller, DA, Cyr, H, Dietz, WH. A validation of reported energy intake in obese and non-obese adolescents. Am. J. Clin. Nutr. 1990; 52:421–5.CrossRefGoogle Scholar
25Prentice, AM, Black, AE, Coward, WA, et al. High levels of energy expenditure in obese women. Br. Med. J. 1986; 292: 983–7.CrossRefGoogle ScholarPubMed
26Lissner, L, Habicht, J-P, Strupp, BJ, Levitsky, DA, Haas, JD, Roe, DA. Body composition and energy intake: do overweight women overeat and under-report. Am. J. Clin. Nutr. 1989; 49: 320–5.CrossRefGoogle Scholar
27Black, AE, Coward, WA, Cole, TJ, Prentice, AM. Human energy expenditure in affluent societies: an analysis of 574 doubly-labelled water measurements. Eur. J. Clin. Nutr. 1996; 50: 7292.Google ScholarPubMed
28Black, 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.CrossRefGoogle ScholarPubMed
29Shetty, PS, Henry, CJK, Black, AE, Prentice, AM. Energy requirements of adults: an update on basal metabolic rates (BMRs) and physical activity levels (PALs). Eur. J. Clin. Nutr. 1996; 50 (Suppl. 1): S11S23.Google ScholarPubMed