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Characteristics of the low-energy reporters in a longitudinal national dietary survey

Published online by Cambridge University Press:  09 March 2007

G. M Price ,
A. A Paul ,
T. J Cole  and
M. E. J Wadsworth
G. M Price
Affiliation:
MRC Dunn Nutrition Unit, Downhams Lane, Milton Road, Cambridge CB4 1XJ
A. A Paul
Affiliation:
MRC Dunn Nutrition Unit, Downhams Lane, Milton Road, Cambridge CB4 1XJ
T. J Cole
Affiliation:
MRC Dunn Nutrition Unit, Downhams Lane, Milton Road, Cambridge CB4 1XJ
M. E. J Wadsworth
Affiliation:
MRC National Survey of Health and Development, Department of Epidemiology and Public Health, University College London Medical School, London WClE 6BT
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Abstract

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The aim of the present study was to establish whether the characteristics of members of a large national birth cohort study who submitted diet diaries with implausibly low-energy intake differed from those whose recorded energy intake was more plausible. Survey members (n 1898) recorded their diets in a 7d diary in household measures. Those whose reported energy intake (EI) as 'a fraction of their estimated BMR was less than 1·10, here termed low-energy reporters (LER) but often called under-reporters, constituted 20·6% of the study population. None of the variables describing dietary, smoking or exercise behaviour bore a significant relationship with low EI/BMR (<1·10), neither did those describing region of residence, subjective adequacy of income, current social class, social relations or the social environment of the subjects. Results of logistic regression analysis showed that the only independently significant characteristic for men was higher BMI. In women, in addition to higher BMI, having been overweight or obese as an adult independently, but less significantly, predicted low EI/BMR, while membership as a child of social class III (non-manual), having more children in the household and having a paid job marginally but independently decreased the probability of reporting low EI/BMR. Submission of a diary with EI/BMR < 1·10 7 years earlier in the same survey was an even more powerful predictor of current low EI/BMR than higher BMI in both sexes. The average reported diet-composition of LER was more micronutrient- and protein-rich than that of the others, indicating different dietary, or diet-recording, behaviour in this group of subjects. LER are not a random sample of the survey population, and their characteristics, definable to some extent, put them at risk for lower health status. Although EI/BMR cut-off points can be used to identify LER, the problem of how to use their data is still unresolved.

Keywords

Dietary surveyUnder-reportersEnergy intake
Type
Human and Clinical Nutrition
Information
British Journal of Nutrition , Volume 77 , Issue 6 , June 1997 , pp. 833 - 851
Copyright
Copyright © The Nutrition Society 1997

References

RERFERENCES

Armitage, P. & Berry, G. (1987). Statistical Methods in Medical Research, 2nd ed. Oxford: Blackwell.Google Scholar
Barker, M. E., Thompson, K. A. & McClean, S. I. (1995). Attitudinal dimensions of food choice and nutrient intake, British Journal of Nutrition 74, 649–659.CrossRefGoogle ScholarPubMed
Bennett, K. & Stevens, R. (1996). Weight anxiety in older women. European Eating Disorders Review 4, 32–39.3.0.CO;2-S>CrossRefGoogle Scholar
Bingham, S. A. (1994). The use of 24-h urine samples and energy expenditure to validate dietary assessments. American Journal of Clinical Nutrition 59, Suppl., 227S–231S.CrossRefGoogle ScholarPubMed
Bingham, S. A., Cassidy, A., Cole, T., Welch, A., Runswick, S. A., Black, A. E., Thumham, D., Bates, C., Khaw, K. T. & Day, N. E. (1995). Validation of weighed records and other methods of dietary assessment using the 24 h urine nitrogen technique and other biological markers. British Journal of Nutrition 73, 531–550.CrossRefGoogle ScholarPubMed
Black, A. E. (1997). Under-reporting of energy intake at all levels of energy expenditure: evidence from doubly labelled water. Proceedings of the Nutrition Society 56, 121A.Google Scholar
Black, A. E., Coward, W. A., Cole, T. J. & Prentice, A. M. (1996). Human energy expenditure in affluent societies: an analysis of 574 doubly-labelled water measurements. European Journal of Clinical Nutrition 50, 72–92.Google ScholarPubMed
Black, A. E., Jebb, S. A., Bingham, S. A., Runswick, S. A. & Poppitt, S. D. (1995). The validation of energy and protein intakes by doubly labelled water and 24-hour urinary nitrogen excretion in post-obese subjects. Journal of Human Nutrition and Dietetics 8, 51–64.CrossRefGoogle Scholar
Braddon, F. E. M., Rodgers, B., Wadsworth, M. E. J. & Davies, J. M. C. (1986). Onset of obesity in a 36 year birth cohort study. British Medical Journal 293, 299–303.CrossRefGoogle Scholar
Braddon, F. E. M., Wadsworth, M. E. J., Davies, J. M. C. & Cripps, H. A. (1988). Social and regional differences in food and alcohol consumption and their measurement in a national birth cohort. Journal of Epidemiology and Community Health 42, 341–349.CrossRefGoogle Scholar
Briefel, R. R., McDowell, M. A., Alaimo, K., Caughman, C. R., Bischof, A. L., Carroll, M. D. & Johnson, C. L. (1995). Total energy intake of the US population: the third National Health and Nutrition Examination Survey, 1988–1991. American Journal of Clinical Nutrition 62, Suppl.1072S–1080S.CrossRefGoogle ScholarPubMed
Cappeliez, P. (1989). Social desirability response set and self-report depression inventories in the elderly. Clinical Gerontologist 9, 45–52.CrossRefGoogle Scholar
Charles, N. & Kerr, M. (1988). Women, Food and Families. Manchester and New York: Manchester University press.Google Scholar
Crawley, H. (1988). Food Portion Sizes. London: H.M. Stationery Office.Google Scholar
Department of Health (1991). Dietary Reference Values for Food Energy and Nutrients for the United Kingdom. Report on Health and Social Subjects no. 41. London: H.M. Stationery Office.Google Scholar
Department of Health (1992). The Health of the Nation. A Strategy for Health in England. London: H.M. Stationery Office.Google Scholar
Dietz, W. H., Bandini, L. G. & Schoeller, D. A. (1991). Estimates of metabolic rate in obese and nonobese adolescents. Journal of Pediatrics 118, 146–149.CrossRefGoogle ScholarPubMed
Firouzbakhsh, S., Mathis, R. K., Dorchester, W. L., Oseas, R. S., Groncy, P. K., Grant, K. E. & Finklestein, J. Z. (1993). Measured resting energy expenditure in children. Journal of Pediatric Gastroenterology and Nutrition 16, 136–142.Google ScholarPubMed
Food and Agriculture Organization/World Health Organization/United Nations University (1985). Energy and Protein Requirements. Technical Report Series no. 724. Geneva: WHO.Google Scholar
Goldberg, G. R., Black, A. E., Jebb, S. A., Cole, T. J., Murgatroyd, P. R., Coward, W. A. & Prentice, A. M. (1991). Critical evaluation of energy intake data using fundamental principles of energy physiology: 1. Derivation of cut-off limits to identify under-recording. European Journal of Clinical Nutrition 45, 569–581.Google ScholarPubMed
Gregory, J., Foster, K., Tyler, H. & Wiseman, M. (1990). The Dietary and Nutritional Survey of British Adults. London: H.M. Stationery Office.Google Scholar
Hebert, J. R., Clemow, L., Pbert, L., Ockene, I. S. & Ockene, J. K. (1995). Social desirability bias in dietary self-report may compromise the validity of dietary intake measures. International Journal of Epidemiology 24, 389–398.CrossRefGoogle ScholarPubMed
Heitmann, B. L. (1993). The influence of fatness, weight change, slimming history and other lifestyle variables on diet reporting in Danish men and women aged 35–65 years. International Journal of Obesity 17, 329–336.Google ScholarPubMed
Heshka, S., Feld, K., Yang, M. U., Allison, D. B. & Heymsfield, S. B. (1993). Resting energy expenditure in the obese: a cross-validation and comparison of prediction equations. Journal of the American Dietetic Association 93, 1031–1036.CrossRefGoogle ScholarPubMed
Heymsfield, S. B., Darby, P. C., Muhlheim, L. S., Gallagher, D., Wolper, C. & Allison, D. B. (1995). The calorie: myth, measurement, and reality. American Journal of Clinical Nutrition 62, Suppl., 1034S–1041S.CrossRefGoogle Scholar
Holland, B., Unwin, I. D. & Buss, D. H. (1988). Cereals and Cereal Products: Third Supplement to McCance and Widdowson's The Composition of Foods (4th Edition). Nottingham: Royal Society of Chemistry.Google Scholar
Holland, B., Unwin, I. D. & Buss, D. H. (1989). Milk Products and Eggs: Fourth Supplement to McCance and Widdowson's The Composition of Foods (4th Edition). Cambridge: Royal Society of Chemistry.Google Scholar
James, W. P. T. (1984). Dietary aspects of obesity. Postgraduate Medical Journal 60, Suppl. 3, 50–55.Google ScholarPubMed
Key, F. B., Paul, A. A., Cole, T. J. & Wadsworth, M. E. J. (1991). Distribution of energy intake in relation to calculated basal metabolic rate and adiposity in a national cohort study. Proceedings of the Nutrition Society 50, 16A.Google Scholar
Klag, M. J., Moore, R. D., Whelton, P. K., Sakai, Y. & Comstock, G. W. (1990). Alcohol consumption and blood pressure: a comparison of native Japanese to American men. Journal of Clinical Epidemiology 43, 1407–1414.CrossRefGoogle ScholarPubMed
Knight, I. (1984). The Heights and Weights of Adults in Great Britain. London: Office of Population Censuses and Surveys/H.M. Stationery Office.Google Scholar
Kuh, D. J. L., Coggan, D., Mann, S., Cooper, C. & Yusuf, E. (1993). Height, occupation and back pain in a national prospective study. British Journal of Rheumatology 32, 911–916.CrossRefGoogle Scholar
Lederman, S. A. (1993). The effect of pregnancy weight gain on later obesity. Obstetrics and Gynecology 82, 148–155.Google ScholarPubMed
Lichtman, S. W., Pisarska, K., Berman, E. R., Pestone, M., Dowling, H., Offenbacher, E., Weisel, H., Heshka, S., Matthews, D. E. & Heymsfield, S. B. (1992). Discrepancy between self-reported and actual caloric intake and exercise in obese subjects. New England Journal of Medicine 327, 1893–1898.CrossRefGoogle ScholarPubMed
Lissner, L., Habicht, J.-P., Strupp, B. J., Levitsky, D. A., Haas, J. D. & Roe, D. A. (1989). Body composition and energy intake: do overweight women overeat and underreport? American Journal of Clinical Nutrition 49, 320–325.CrossRefGoogle ScholarPubMed
Livingstone, M. B. E., Prentice, A. M., Strain, J. J., Coward, W. A., Black, A. E., Barker, M. E., McKenna, P. G. & Whitehead, R. G. (1990). Accuracy of weighed dietary records in studies of diet and health. British Medical Journal 300, 708–712.CrossRefGoogle ScholarPubMed
Maffeis, C., Schutz, Y., Micciolo, R., Zoccante, L. & Pinelli, L. (1993). Resting metabolic rate in six- to ten-year-old obese and nonobese children. Journal of Pediatrics 122, 556–562.CrossRefGoogle ScholarPubMed
Mennell, S., Murcott, A. & van Otterloo, A. H. (1992). The Sociology of Food: Eating, Diet and Culture, pp. 104, 109. London: Sage Publications.Google Scholar
Millar, W. J. (1985). Smoking prevalence among Canadian adolescents. A comparison of survey estimates. Canadian Journal of Public Health 76, 33–37.Google ScholarPubMed
Molnar, D., Jeges, S., Erhardt, E. & Schutz, Y. (1995). Measured and predicted resting metabolic rate in obese and nonobese adolescents. Journal of Pediatrics 127, 571–577.CrossRefGoogle ScholarPubMed
Office of Population Censuses and Surveys (1980). Classification of Occupations 1980. London: H.M. Stationery Office.Google Scholar
Paul, A. A. & Southgate, D. A. T. (1978). McCance and Widdowson's The Composition of Foods, 4th ed. London: H.M. Stationery Office.Google Scholar
Prentice, A. M., Black, A. E., Coward, W. A. & Cole, T. J. (1996). Energy expenditure in overweight and obese adults in affluent societies: an analysis of 319 doubly-labelled water measurements. European Journal of Clinical Nutrition 50, 93–97.Google ScholarPubMed
Prentice, A. M., Black, A. E., Coward, W. A., Davies, H. L., Goldberg, G. R., Murgatroyd, P. R., Ashford, J., Sawyer, M. & Whitehead, R. G. (1986). High levels of energy expenditure in obese women. British Medical Journal 292, 983–987.CrossRefGoogle ScholarPubMed
Prentice, A. M. & Jebb, S. A. (1995). Obesity in Britain: gluttony or sloth? British Medical Journal 311, 437–439.CrossRefGoogle ScholarPubMed
Price, G. M., Paul, A. A., Cole, T. J. & Wadsworth, M. E. J. (1996). Interviewees with higher body mass index were less likely to return diet diaries in a longitudinal national survey. Proceedings of the Nutrition Sociery 55, 218A.Google Scholar
Price, G. M., Paul, A. A., Key, F. B., Harter, A. C., Cole, T. J., Day, K. C. & Wadsworth, M. E. J. (1995). Measurement of diet in a large national survey: comparison of computerized and manual coding of records in household measures. Journal of Human Nutrition and Dietetics 8, 417–428.CrossRefGoogle Scholar
Pryer, J. A., Vrijheid, M., Nichols, R. & Elliott, P. (1994). Who are the ‘low-energy reporters’ in the Dietary and Nutritional Survey of British Adults? Proceedings of the Nutrition Society 53, 235A.Google Scholar
Rappoport, L., Peters, G. R., Downey, R., McCann, T. & Huff-Corzine, L. (1993). Gender and age differences in food cognition. Appetite 20, 33–52.CrossRefGoogle ScholarPubMed
Rutishauser, I. H. E., Wheeler, C. E., Conn, J. A. & O'Dea, K. (1994). Food and nutrient intake in a randomly selected sample of adults: demographic and temporal influences on energy and nutrient intake. Australian Journal of Nutrition and Dietetics 51, 157–166.Google Scholar
Schoeller, D. A. (1990). How accurate is self-reported dietary energy intake? Nutrition Reviews 48, 373–379.CrossRefGoogle ScholarPubMed
Schofield, W. N. (1985). Predicting basal metabolic rate, new standards and review of previous work. Human Nutrition: Clinical Nunition 39C, Suppl. 1, 5–41.Google Scholar
Schwellnus, M. P., Lambert, M. I., Todd, M. P. & Juritz, J. M. (1992). Androgenic anabolic steroid use in matric pupils. A survey of prevalence of use in the western Cape. South African Medical Journal 82, 154–158.Google ScholarPubMed
Sheiham, A., Marmot, M., Rawson, D. & Ruck, N. (1987). Food values: health and diet. In British Social Attitudes. The 1987 Report, pp. 95–119 [Jowell, R., Witherspoon, S. and Brook, L., editors]. London: Gower.Google Scholar
Smith, G. T., Hohlstein, L. A. & Atlas, J. G. (1992). Accuracy of self-reported weight: covariation with binger or restrainer status and eating disorder symptomatology. Addictive Behaviors 17, 1–8.CrossRefGoogle ScholarPubMed
Sobal, J. & Stunkard, A. J. (1989). Socioeconomic status and obesity: a review of the literature. Psychological Bulletin 105, 260–275.CrossRefGoogle ScholarPubMed
Stansfeld, S. A. & Marmot, M. G. (1992). Social class and minor psychiatric disorder in British Civil Servants: a validated screening survey using the General Health Questionnaire. Psychological Medicine 22, 739–749.CrossRefGoogle ScholarPubMed
Stunkard, A. J. & Messick, S. (1985). The Three-Factor Eating Questionnaire to measure dietary restraint, disinhibition and hunger. Journal of Psychosomatic Research 29, 71–83.CrossRefGoogle ScholarPubMed
Tarasuk, V. & Beaton, G. H. (1991). The nature and individuality of within-subject variation in energy intake. American Journal of Clinical Nutrition 54, 464–470.CrossRefGoogle ScholarPubMed
Tarasuk, V. & Beaton, G. H. (1992). Day-to-day variation in energy and nutrient intake: evidence of individuality in eating behaviour? Appetite 18, 43–54.CrossRefGoogle ScholarPubMed
Van Strien, T., Frijters, J. E. R., Bergers, G. P. A. & Defares, P. B. (1986). The Dutch Eating Behaviour Questionnaire (DEBQ) for assessment of restrained, emotional and external eating behaviour. International Journal for Eating Disorders, 5 295–315.3.0.CO;2-T>CrossRefGoogle Scholar
Wadsworth, M. E. J. (1991). The Imprint of Time. Oxford: Clarendon Press.Google Scholar
Wadsworth, M. E. J., Mann, S. L., Rodgers, B., Kuh, D. J. L., Hilder, W. S. & Yusuf, E. J. (1992). Loss and representativeness in a 43 year follow up of a national birth cohort. Journal of Epidemiology and Community Health 46, 300–304.CrossRefGoogle Scholar
Warnold, I., Carlgren, G. & Krotkiewski, M. (1978). Energy expenditure and body composition during weight reduction in hyperplasic obese women. American Journal of Clinical Nutrition 31, 750–763.CrossRefGoogle Scholar
White, A., Nicolaas, G., Foster, K., Browne, F. & Carey, S. (1993). Health Survey for England 1991. London: H.M. Stationery Office.Google Scholar
Wiles, S. J., Nettleton, P. A., Black, A. E. & Paul, A. A. (1980). The nutrient composition of some cooked dishes eaten in Britain: a supplementary food composition table. Journal of Human Nutrition 34, 189–223.Google Scholar
Willett, W. & Stampfer, M. J. (1986). Total energy-intake - implications for epidemiologic analyses. American Journal of Epidemiology 124, 17–27.CrossRefGoogle ScholarPubMed
Worsley, A. (1991). Mothers, work and food consumption: going out to work changes mothers' diets? Ecology of Food and Nutrition 25, 59–69.CrossRefGoogle Scholar