Hostname: page-component-78c5997874-fbnjt Total loading time: 0 Render date: 2024-11-18T05:15:43.228Z Has data issue: false hasContentIssue false

Issues in dietary intake assessment of children and adolescents

Published online by Cambridge University Press:  09 March 2007

M. B. E. Livingstone*
Affiliation:
Northern Ireland Centre for Food and Health, University of Ulster, Coleraine, Co. Londonderry, BT52 1SA, UK
P. J. Robson*
Affiliation:
Northern Ireland Centre for Food and Health, University of Ulster, Coleraine, Co. Londonderry, BT52 1SA, UK
J. M. W. Wallace*
Affiliation:
Northern Ireland Centre for Food and Health, University of Ulster, Coleraine, Co. Londonderry, BT52 1SA, UK
*
Corresponding author:ILSI Europe, 83 Avenue E, Mounier, Box 6, B-1200 Brussels, fax +32 2 762 00 44, email publications@ilsieurope.be
Corresponding author:ILSI Europe, 83 Avenue E, Mounier, Box 6, B-1200 Brussels, fax +32 2 762 00 44, email publications@ilsieurope.be
Corresponding author:ILSI Europe, 83 Avenue E, Mounier, Box 6, B-1200 Brussels, fax +32 2 762 00 44, email publications@ilsieurope.be
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

Studies of food habits and dietary intakes face a number of unique respondent and observer considerations at different stages from early childhood to late adolescence. Despite this, intakes have often been reported as if valid, and the interpretation of links between intake and health has been based, often erroneously, on the assumption of validity. However, validation studies of energy intake data have led to the widespread recognition that much of the dietary data on children and adolescents is prone to reporting error, mostly through under-reporting. Reporting error is influenced by body weight status and does not occur systematically across different age groups or different dietary survey techniques. It appears that the available methods for assessing the dietary intakes of children are, at best, able to provide unbiased estimates of energy intake only at the group level, while the food intake data of most adolescents are particularly prone to reporting error at both the group and the individual level. Moreover, evidence for the existence of subject-specific responding in dietary assessments challenges the assumption that repeated measurements of dietary intake will eventually obtain valid data. Only limited progress has been made in understanding the variables associated with misreporting in these age groups, the associated biases in estimating nutrient intakes and the most appropriate way to interpret unrepresentative dietary data. Until these issues are better understood, researchers should exercise considerable caution when evaluating all such data.

Type
Research Article
Copyright
Copyright © The Nutrition Society 2004

References

Achterberg, C, Pugh, MA, Collins, S, Getty, VM & Shannon, B (1991) Feasibility of telephone interviews to collect dietary recall information from children. J Can Diet Assoc 54, 226228.Google Scholar
Ambler, C, Eliakim, A, Brasel, JA, Lee, W-NP, Burke, G & Cooper, DM (1998) Fitness and the effect of exercise training on the dietary intake of healthy adolescents. Int J Obes Relat Metab Disord 22, 354362.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
Bandini, LG, Cyr, H, Must, A & Dietz, WH (1997) Validity of reported energy intake in preadolescent girls. Am J Clin Nutr 65, 1138S1141S.CrossRefGoogle ScholarPubMed
Baranowski, T & Domel, SB (1994) A cognitive model of children's reporting of food intake. Am J Clin Nutr 59, Suppl.. 212S217S.CrossRefGoogle ScholarPubMed
Baranowski, T, Dworkin, R, Henske, JC, Clearman, DR, Dunn, JK, Nader, PR & Hooks, PC (1986) The accuracy of children's self-reports of diet: Family Health Project. J Am Diet Assoc 86, 13811385.CrossRefGoogle ScholarPubMed
Baranowski, T, Sprague, D, Baranowski, JH & Harrison, JA (1991) Accuracy of maternal dietary recall for preschool children. J Am Diet Assoc 91, 669674.CrossRefGoogle ScholarPubMed
Basch, CE, Shea, S, Arliss, R, Contento, IR, Rips, J, Gutin, B, Irigoyen, M & Zybert, P (1990) Validation of mothers' reports of dietary intake by four to seven year-old children. Am J Public Health 80, 13141317.CrossRefGoogle ScholarPubMed
Baxter, SD, Thompson, WO, Davis, HC & Johnson, MH (1997) ‘How do you remember you ate...?’: a Delphi technique study to identify retrieval categories from fourth-grade children. J Am Diet Assoc 97, 3136.CrossRefGoogle Scholar
Baxter, SD, Thompson, WO, Davis, HC & Litaker, MS (1999) Children's dietary recalls: the salience of entree and liking for foods on accuracy and order of reporting. Nutrition 15, 848853.CrossRefGoogle ScholarPubMed
Black, AE (1997) Under-reporting of energy intake at all levels of energy expenditure: evidence from doubly labelled water studies. Proc Nutr Soc 56 121A.Google Scholar
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, 11191130.CrossRefGoogle 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, 395404.CrossRefGoogle ScholarPubMed
Black, AE & Cole, TJ (2000) Within- and between-subject variation in energy expenditure measured by the doubly-labelled water technique: implications for validating reported dietary energy intake. Eur J Clin Nutr 54, 386394.CrossRefGoogle ScholarPubMed
Black, AE & Cole, TJ (2001) Biased over- or under-reporting is characteristic of individuals whether over time or by different assessment methods. J Am Diet Assoc 101, 7080.CrossRefGoogle ScholarPubMed
Black, AE, Coward, WA, Cole, TJ & Prentice, AM (1996) Human energy expenditure in affluent societies: an analysis of 574 doubly-labelled water measurements. Eur J Clin Nutr 50, 7292.Google ScholarPubMed
Birch, LL, Johnson, SL, Andresen, G, Peters, JC & Schulte, MC (1991) The variability of young children's energy intake. N Engl J Med 324, 232235.CrossRefGoogle ScholarPubMed
Boulton, TJC, Margarey, AM & Cockington, RA (1995) Tracking of serum lipids and dietary energy, fat and calcium intake from 1 to 15 years. Acta Paediatr 84, 10501055.CrossRefGoogle ScholarPubMed
Bradburn, NM, Rips, LJ & Shevell, SK (1987) Answering autobiographical questions: the impact of memory and inference on surveys. Science 236, 157161.CrossRefGoogle ScholarPubMed
Bratteby, L-E, 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.CrossRefGoogle ScholarPubMed
Carter, RL, Sharbaugh, CO & Stapell, CA (1981) Reliability and validity of the 24-hour recall. J Am Diet Assoc 79, 542547.CrossRefGoogle ScholarPubMed
Chambers, E, Godwin, SL & Vecchio, FA (2000) Cognitive strategies for reporting portion sizes using dietary recall procedures. J Am Diet Assoc 100, 891897.CrossRefGoogle ScholarPubMed
Champagne, CM, DeLany, JP, Harsha, DW & Bray, GA (1996) Underreporting of energy intake in biracial children is verified by doubly labeled water. J Am Diet Assoc 96, 707709.CrossRefGoogle ScholarPubMed
Champagne, CM, Baker, NB, DeLany, JP, Harsha, DW & Bray, GA (1998) Assessment of energy intake underreporting by doubly labeled water and observations on reported nutrient intakes in children. J Am Diet Assoc 98, 426433.CrossRefGoogle ScholarPubMed
Crawford, PB, Obarzanek, E, Morrison, J & Sabry, ZI (1994) Comparative advantage of 3-day food records over 24-hour recall and 5-day food frequency validated by observation of 9- and 10-year-old girls. J Am Diet Assoc 94, 626630.CrossRefGoogle ScholarPubMed
Cypel, YS, Guenther, PM & Petot, GJ (1997) Validity of portion-size measurement aids: a review. J Am Diet Assoc 97, 289292.CrossRefGoogle ScholarPubMed
Davies, PSW, Coward, WA, Gregory, J, White, A & Mills, A (1994) Total energy expenditure and energy intake in the preschool child: a comparison. Br J Nutr 72, 1320.CrossRefGoogle ScholarPubMed
Domel, SB (1997) Self-reports of diet: how children remember what they have eaten. Am J Clin Nutr 65 Suppl. 1148S – 1152S.CrossRefGoogle ScholarPubMed
Domel, SB, Baranowski, T, Davis, H, Leonard, SB, Riley, P & Baranowski, J (1994a) Fruit and vegetable food frequencies by fourth and fifth grade students: validity and reliability. J Am Coll Nutr 13, 3339.CrossRefGoogle ScholarPubMed
Domel, SB, Thompson, WO, Baranowski, T & Smith, AF (1994b) How children remember what they have eaten. J Am Diet Assoc 94, 12671272.CrossRefGoogle ScholarPubMed
Dwyer, JT, Krall, EA & Coleman, KA (1987) The problem of memory in nutritional epidemiology research. J Am Diet Assoc 87, 15091512.CrossRefGoogle ScholarPubMed
Eck, LH, Klesges, RC & Hanson, CL (1989) Recall of a child's intake from one meal: are parents accurate?. J Am Diet Assoc 89, 784789.CrossRefGoogle ScholarPubMed
Emmons, L & Hayes, M (1973) Accuracy of 24-hr recalls of young children. J Am Diet Assoc 62, 409415.CrossRefGoogle ScholarPubMed
Farris, RP, Cresanta, JL, Frank, GC, Webber, LS & Berenson, GS (1985a) Dietary studies of children from a biracial population: intakes of carbohydrate and fiber in 10- and 13-year-olds. J Am Coll Nutr 4, 421435.CrossRefGoogle ScholarPubMed
Farris, RP, Cresanta, JL, Frank, GC, Webber, LS & Berenson, GS (1985b) Dietary studies of children from a biracial population: intakes of vitamins in 10- and 13-year-olds. J Am Coll Nutr 4, 539552.CrossRefGoogle ScholarPubMed
Fisher, JO, Johnson, RK, Lindquist, C, Birch, LL & Goran, MI (2000) Influence of body composition on the accuracy of reported energy intake in children. Obes Res 8, 597603.CrossRefGoogle ScholarPubMed
Frank, GC, Berenson, GS, Schilling, PE & Moore, MC (1977) Adapting the 24-hr recall for epidemiologic studies of schoolchildren. J Am Diet Assoc 71, 2631.CrossRefGoogle Scholar
Friedenreich, CM, Slimani, N & Riboli, E (1992) Measurement of past diet: review of previous and proposed methods. Epidemiol Rev 14, 177196.CrossRefGoogle ScholarPubMed
Fries, E, Green, P & Bowen, DJ (1995) What did I eat yesterday? Determinants of accuracy in 24-hour food memories. Appl Cogn Psychol 9, 143155.CrossRefGoogle Scholar
Goldberg, GR, Black, AE, Jebb, SA, Cole, TJ, Murgatroyd, PR, Coward, WA & Prentice, AM (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, 569581.Google ScholarPubMed
Haraldsdóttir, J & Hermansen, B (1995) Repeated 24-h recalls with young schoolchildren. A feasible alternative to diet history from parents?. Eur J Clin Nutr 49, 729739.Google ScholarPubMed
Hill, AJ, Draper, E & Stack, J (1994) A weight on children's minds: body shape dissatisfactions at 9-years old. Int J Obes Relat Metab Disord 18, 383389.Google ScholarPubMed
Huenemann, RL & Turner, D (1942) Methods of dietary investigation. J Am Diet Assoc 18, 562568.CrossRefGoogle Scholar
Jenner, DA, Neylon, K, Croft, S, Beilin, LJ & Vandongen, R (1989) A comparison of methods of dietary assessment in Australian children aged 11–12 years. Eur J Clin Nutr 43, 663673.Google ScholarPubMed
Johnson, RK, Driscoll, P & Goran, MI (1996) Comparison of multiple-pass 24-hour recall estimates of energy intake with total energy expenditure determined by the doubly labeled water in young children. J Am Diet Assoc 96, 11401144.CrossRefGoogle ScholarPubMed
Kaskoun, MC, Johnson, RK & Goran, MI (1994) Comparison of energy intake by semiquantitative food-frequency questionnaire with total energy expenditure by the doubly labeled water method in young children. Am J Clin Nutr 60, 4347.CrossRefGoogle ScholarPubMed
Kelder, SH, Perry, CL, Klepp, K-I & Lytle, LL (1994) Longitudinal tracking of adolescent smoking, physical activity and food choice behaviours. Am J Public Health 84, 11211126.CrossRefGoogle Scholar
Kersting, M, Sichert-Hellert, W, Lausen, B, Alexy, U, Manz, F, Schöch, G (1998) Energy intake of 1 to 18 year old German children and adolescents. Z Ernährungswiss 37, 4755.CrossRefGoogle ScholarPubMed
Klesges, RC, Klesges, LM, Brown, G & Frank, GC (1987) Validation of the 24-hour recall in preschool children. J Am Diet Assoc 87, 13831385.CrossRefGoogle ScholarPubMed
Klesges, RC, Hanson, CL, Eck, LH & Durff, AC (1988) Accuracy of self-reports of food intake in obese and normal weight individuals: effects of parental obesity on reports of children's dietary intake. Am J Clin Nutr 48, 12521256.CrossRefGoogle ScholarPubMed
Ku, C-Y, Gower, BA, Nagy, TR & Goran, MI (1998) Relationships between dietary fat, body fat and serum lipid profile in prepubertal children. Obes Res 6, 400407.CrossRefGoogle ScholarPubMed
Kuzawa, CW (1998) Adipose tissue in human infancy and childhood: an evolutionary perspective. Am J Phys Anthropol Suppl. 27. 177209.3.0.CO;2-B>CrossRefGoogle ScholarPubMed
Livingstone, MBE & Black, AE (2003) Markers of the validity of reported energy intake. J Nutr 133 Suppl.895S920S.CrossRefGoogle ScholarPubMed
Livingstone, MBE & Robson, PJ (2000) Measurement of dietary intake in children. Proc Nutr Soc 59, 279293.CrossRefGoogle ScholarPubMed
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.CrossRefGoogle ScholarPubMed
Livingstone, MBE, Robson, PJ, Black, AE, Coward, WA, Wallace, JMW, McKinley, MC, Strain, JJ & McKenna, PG (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, 455463.CrossRefGoogle ScholarPubMed
Lytle, LA, Nichaman, MZ, Obarzanek, E, Glovsky, E, Montgomery, D, Nicklas, T, Zive, M & Feldman, H (1993) Validation of 24-hour recalls assisted by food records in third-grade children. J Am Diet Assoc 93, 14311436.CrossRefGoogle ScholarPubMed
McGloin, AF, Livingstone, MBE & Greene, LC (2002) Energy and fat intake in obese and lean children at varying risk of obesity. Int J Obes Relat Metab Disord 26, 200207.CrossRefGoogle ScholarPubMed
Matheson, DM, Hanson, KA, McDonald, TE & Robinson, TN (2002) Validity of children's food portion estimates: a comparison of 2 measurement aids. Arch Pediatr Adolesc Med 156, 867871.CrossRefGoogle ScholarPubMed
Meredith, A, Matthews, A, Zickefoose, M, Weagley, E, Wayave, M & Brown, EG (1951) How well do children recall what they have eaten?. J Am Diet Assoc 27, 749751.CrossRefGoogle ScholarPubMed
Miller, JZ, Kimes, T, Hui, S, Andon, MB & Johnston, CC (1991) Nutrient intake variability in a pediatric population: implications for study design. J Nutr 121, 265274.CrossRefGoogle Scholar
Moore, MC, Judlin, BC & Kennemur, P (1967) Using graduated food models in taking dietary histories. J Am Diet Assoc 51, 447450.CrossRefGoogle ScholarPubMed
Nelson, K (1993) The psychological and social origins of autobiographical memory. Psychol Sci 4, 714.CrossRefGoogle Scholar
Nelson, M, Black, AE, Morris, JA & Cole, TJ (1989) Between- and within-subject variation in nutrient intake from infancy to old age: estimating the number of days required to rank dietary intakes with desired precision. Am J Clin Nutr 50, 155167.CrossRefGoogle ScholarPubMed
Perks, SM, Roemmich, JN, Sandow-Pajewski, M, Clark, PA, Thomas, E, Weltman, A, Patrie, J & Rogol, AD (2000) Alterations 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 ScholarPubMed
Post, GB, de Vente, W, Kemper, HCG & Twisk, JWR (2001) Longitudinal trends in and tracking of energy and nutrient intake over 20 years in a Dutch cohort of men and women between 13 and 33 years of age: The Amsterdam Growth and Health Longitudinal Study. Br J Nutr 85, 375385.CrossRefGoogle Scholar
Reilly, JJ, Ventham, JC, Ralston, JM, Donaldson, M & Gibson, B (1998) Reduced energy expenditure in preobese children treated for acute lymphoblastic leukemia. Pediatr Res 44, 557562.CrossRefGoogle ScholarPubMed
Reilly, JJ, Montgomery, C, Jackson, D, MacRitchie, J & Armstrong, J (2001) Energy intake by multiple pass 24 h recall and total energy expenditure: a comparison in a representative sample of 3–4-year-olds. Br J Nutr 86, 601605.CrossRefGoogle Scholar
Robson, PJ, Gallagher, AM, Livingstone, MBE, Cran, GW, Strain, JJ, Savage, JM & Boreham, CAG (2000) Tracking of nutrient intakes in adolescence: the experiences of the Young Hearts Project, Northern Ireland. Br J Nutr 84, 541548.CrossRefGoogle Scholar
Samuelson, G (1970) An epidemiological study of child health and nutrition in a northern Swedish county. Nutr Metab 12, 321340.CrossRefGoogle Scholar
Simons-Morton, BG, Baranowski, T, Parcel, GS, O'Hara, NM & Matteson, RC (1990) Children's frequency of consumption of foods high in fat and sodium. Am J Prev Med 6, 218227.CrossRefGoogle ScholarPubMed
Singer, MR, Moore, LL, Garrahie, EJ & Ellison, RC (1995) The tracking of nutrient intake in young children: the Framingham Children's Study. Am J Public Health 85, 16731677.CrossRefGoogle ScholarPubMed
Smithers, G, Gregory, J, Coward, WA, Wright, A, Elsom, R & Wenlock, R (1998) British National Diet and Nutrition Survey of young people aged 4–18 years: feasibility study of the dietary assessment method. Eur J Clin Nutr 52 S76.Google Scholar
Sobo, EJ, Rock, CL, Neuhouser, ML, Maciel, TL, Neumark-Sztainer, D (2000) Caretaker–child interaction during children's 24-hour dietary recalls: who contributes what to the recall report?. J Am Diet Assoc 100, 428433.CrossRefGoogle Scholar
Stein, AD, Shea, S, Basch, CE, Contento, IR & Zybert, P (1991) Variability and tracking of nutrient intakes of preschool children based on multiple administrations of the 24-hour dietary recall. Am J Epidemiol 134, 14271437.CrossRefGoogle ScholarPubMed
Torun, B, Davies, PSW, Livingstone, MBE, Paolisso, M, Sackett, R & Spurr, GB (1996) Energy requirements and dietary energy recommendations for children and adolescents 1 to 18 years old. Eur J Clin Nutr 50 Suppl. S37S81.Google ScholarPubMed
Twisk, JWR, Kemper, HCG, van Mechelen, W & Post, GB (1997) Tracking of risk factors for coronary heart disease over a 14-year period: a comparison between lifestyle and biologic risk factors with data from the Amsterdam Growth and Health Study. Am J Epidemiol 145, 888898.CrossRefGoogle Scholar
Van Horn, LV, Gernhofer, N, Moag-Stahlberg, A, Farris, R, Hartmuller, G, Lasser, VI, Stumbo, P, Craddick, S & Ballew, C (1990) Dietary assessment in children using electronic methods: telephones and tape recorders. J Am Diet Assoc 90, 412416.CrossRefGoogle ScholarPubMed
Wardle, J & Beales, S (1986) Restraint, body image and food attitudes in children from 12–18 years. Appetite 7, 209217.CrossRefGoogle Scholar
Warren, JM, Henry, CJK, Livingstone, MBE, Lightowler, HJ, Bradshaw, SM & Perwaiz, S (2003) How well do children aged 5–7 years recall food eaten at school lunch?. Public Health Nutr 6, 4147.CrossRefGoogle ScholarPubMed
Weber, JL, Cunningham-Sabo, L, Skipper, B, Lytle, L, Stevens, J, Gittelsohn, J, Anliker, J, Heller, K & Pablo, JL (1999) Portion-size estimation training in second- and third- grade American Indian children. Am J Clin Nutr 69 Suppl. 782S – 787S.CrossRefGoogle ScholarPubMed
Welten, DC, Kemper, HCG, Post, GB, Van Staveren, WA & Twisk, JWR (1997) Longitudinal development and tracking of calcium and dairy intake from teenager to adult. Eur J Clin Nutr 51, 612618.CrossRefGoogle ScholarPubMed
Wong, WW, Butte, NF, Ellis, KJ, Hergenroeder, AC, Hill, RB, Stuff, JE, O'Brian, Smith E (1999) Pubertal African-American girls expend less energy at rest and during physical activity than Caucasian girls. J Clin Endocrinol Metab 84, 906911.Google ScholarPubMed