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Secular trends in under-reporting in young people

Published online by Cambridge University Press:  08 March 2007

K. L. Rennie*
Affiliation:
MRC Human Nutrition Research, Elsie Widdowson Laboratory, Fulbourn Road, Cambridge, CB1 9NL, UK
S. A. Jebb
Affiliation:
MRC Human Nutrition Research, Elsie Widdowson Laboratory, Fulbourn Road, Cambridge, CB1 9NL, UK
A. Wright
Affiliation:
MRC Human Nutrition Research, Elsie Widdowson Laboratory, Fulbourn Road, Cambridge, CB1 9NL, UK
W. A. Coward
Affiliation:
MRC Human Nutrition Research, Elsie Widdowson Laboratory, Fulbourn Road, Cambridge, CB1 9NL, UK
*
*Corresponding author: Dr Kirsten L. Rennie, fax +44 1223 437515, email [email protected]
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Abstract

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National survey data show that reported energy intake has decreased in recent decades despite a rise in the prevalence of obesity. This disparity may be due to a secular increase in under-reporting or a quantitatively greater decrease in energy expenditure. This study examines the extent of under-reporting of energy intake in the National Diet and Nutrition Survey (NDNS) in young people aged 4–18 years in 1997 using published equations to calculate estimated energy requirements. It explores secular changes by comparison with the Diets of British School Children (DBSC) survey in 10–11- and 14–15-year-olds in 1983. In the NDNS, under-reporting (estimated energy requirements – energy intake) represented 21 % of energy needs in girls and 20 % in boys. The magnitude of under-reporting increased significantly with age (P<0·001) and was higher in overweight than lean individuals over 7 years of age. To compare reported energy intake in DBSC and NDNS, the estimated physical activity level from dietary records (dPAL=reported energy intake/predicted BMR) was calculated. If there were no under-reporting, dPAL would represent the subject's true activity level. However, dPAL from the NDNS was significantly lower than that from the DBSC by 8 % and 9 % in boys and girls for those aged 10–11 years, and by 14 % and 11 % for 14–15-year-olds respectively, reaching physiologically implausible levels in the 14–15-year-old girls (dPAL=1·17). If activity levels have remained constant between the two surveys, under-reporting has increased by 8–14 %. The evidence supports a secular trend towards increased under-reporting between the two surveys, but the precise magnitude cannot be quantified in the absence of historical measures of energy expenditure.

Type
Research Article
Copyright
Copyright © The Nutrition Society 2005

References

Bandini, LG, Must, A, Cyr, HN, Anderson, SE, Spadano, JL & Dietz, WH (2003) Longitudinal changes in the accuracy of reported energy intake in girls 10–15 y of age. Am J Clin Nutr 78, 480484.CrossRefGoogle ScholarPubMed
Bandini, LG, Schoeller, DA, Cyr, HN & Dietz, WH (1990) Validity of reported energy intake in obese and nonobese adolescents. Am J Clin Nutr 52, 421425.CrossRefGoogle ScholarPubMed
Black, AE (1996) Physical activity levels from a meta-analysis of doubly labeled water studies for validating energy intake as measured by dietary assessment. Nutr Rev 54, 170174.CrossRefGoogle ScholarPubMed
Black, AE, Prentice, AM, Goldberg, GR, Jebb, SA, Bingham, SA, Livingstone, MBE & Coward, WA (1993) Measurements of total energy expenditure provide insights into the validity of dietary measurements of energy intake. J Am Diet Assoc 93, 572579.CrossRefGoogle ScholarPubMed
Bratteby, L, Sandhagen, B, Fan, H, Enghardt, H & Samuelson, G (1998) Total energy expenditure and physical activity as assessed by the doubly labeled water method in Swedish adolescents in whom energy intake was underestimated by 7-d diet records. Am J Clin Nutr 67, 905911.Google Scholar
Cole, TJ & Coward, WA (1992) Precision and accuracy of doubly labeled water energy-expenditure by multipoint and 2-point methods. Am J Physiol 263, E965E972.Google Scholar
Cole, TJ, Bellizzi, MC, Flegal, KM & Dietz, WH (2000) Establishing a standard definition for child overweight and obesity worldwide: international survey. BMJ 320, 12401243.Google Scholar
Davies, PSW, Coward, WA, Gregory, J, White, A & Mills, A (1994) Total energy expenditure and energy intake in the pre-school child: a comparison. Br J Nutr 72, 1320.CrossRefGoogle ScholarPubMed
Department of HealthDepartment of Health (1989) The Diets of British Schoolchildren. Sub-committee on Nutritional Surveillance. Committee on Medical Aspects of Food Policy. London: HMSO.Google Scholar
Food and, Agriculture Organisation/World, Health Organisation/United & Nations University (1985) Energy and protein requirements WHO Technical Report Series no. 724Google Scholar
Goris, AHC, Westerterp-Plantenga, MS & Westerterp, KR (2000) Undereating and underrecording of habitual food intake in obese men: selective underreporting of fat intake. Am J Clin Nutr 71, 130134.Google Scholar
Gregory, J & Lowe, S (2000) National Diet and Nutritional Survey: Young People Aged 4 to 18 Years, vol. 1. Report of the Diet and Nutrition Survey London Stationery Office.Google Scholar
Heitmann, B & Lissner, L (1995) Dietary underreporting by obese individuals – is it specific or non-specific. Br Med J 311, 986989.CrossRefGoogle ScholarPubMed
Institute of MedicineInstitute of Medicine (2002) Dietary reference intakes for energy, carbohydrate, fiber, fat, fatty acids, cholesterol, protein, and amino acids, Washington, DC: National Academies Press.Google Scholar
Livingstone, MBE, Prentice, AM, Coward, WA, Strain, JJ, Black, AE, Davies, PSW, Stewart, CM, McKenna, PG & Whitehead, RG (1992) Validation of estimates of energy intake by weighed dietary record and diet history in children and adolescents. Am J Clin Nutr 56, 2935.Google Scholar
Livingstone, MBE, Prentice, AM, Strain, JJ, Coward, WA, Black, AE, Barker, ME, McKenna, PG & Whitehead, RG (1990) Accuracy of weighed dietary records in studies of diet and health. Br Med J 300, 708712.Google Scholar
Livingstone, MBE, Robson, PJ, Wallace, JMW & McKinley, MC (2003) How active are we? Levels of routine physical activity in children and adults. Proc Nutr Soc 62, 681701.CrossRefGoogle ScholarPubMed
McGloin, AF, Livingstone, MBE, Greene, LC, Webb, SE, Gibson, JMA, Jebb, SA, Core, TJ, Coward, WA, Wright, A & Prentice, AM (2002) Energy and fat intake in obese and lean children at varying risk of obesity. Int J Obes Relat Metab Disord 26, 200207.Google Scholar
Perks, SM, Roemmich, JN, Sandow-Pajewski, M, Clark, PA, Thomas, E, Weltman, A, Patrie, J & Rogol, AD (2000) Alternations in growth and body composition during puberty. IV. Energy intake estimated by the Youth-Adolescent Food-Frequency Questionnaire: validation by the doubly labeled water method. Am J Clin Nutr 72, 14551460.CrossRefGoogle Scholar
Poppitt, SD, Swann, D, Black, AE & Prentice, AM (1998) Assessment of selective under-reporting of food intake by both obese and non-obese women in a metabolic facility. Int J Obes Relat Metab Disord 22, 303311.Google Scholar
Pryer, J, Vrijheid, M, Nochols, R, Kiggins, M & Elliott, P (1997) Who are the ‘low energy reporters’ in the dietary and nutritional surveys of British adults?. Int J Epidemiol 26, 146154.Google Scholar
Ritz, P, Cole, TJ, Couet, C & Coward, WA (1996) Precision of DLW energy expenditure measurement: contribution of natural abundance variations. Am J Physiol 270, E164E169.Google Scholar
Rosell, MS, Hellenius, MB, Faire, UH & Johansson, GK (2003) Associations between diet and the metabolic syndrome vary with the validity of dietary intake data. Am J Clin Nutr 78, 8490.Google Scholar
Schofield, W (1985) Predicting basal metabolic rate, new standards and review of previous work. Hum Nutr Clin Nutr 39, 541.Google Scholar
Trabulsi, J & Schoeller, DA (2001) Evaluation of dietary assessment instruments against doubly labeled water, a biomarker of habitual energy intake. Am J Physiol Endocrinol Metab 281, E891E899.Google Scholar
Voss, S, Kroke, A, Klipstein-Grobusch, K & Boeing, H (1998) Is macronutrient composition of dietary intake data affected by underreporting? Results form the EPIC-Potsdam Study. Eur J Clin Nutr 52, 119126.CrossRefGoogle Scholar