Fourth-grade children’s dietary recall accuracy for energy intake at school meals differs by social desirability and body mass index percentile in a study concerning retention interval

Abstract

Data from a study concerning retention interval and school-meal observation on children’s dietary recalls were used to investigate relationships of social desirability score (SDS) and body mass index percentile (BMI%) to recall accuracy for energy for observed (n = 327) children, and to reported energy for observed and unobserved (n = 152) children. Report rates (reported/observed) correlated negatively with SDS and BMI%. Correspondence rates (correctly reported/observed) correlated negatively with SDS. Inflation ratios (overreported/observed) correlated negatively with BMI%. The relationship between reported energy and each of SDS and BMI% did not depend on observation status. Studies utilizing children’s dietary recalls should assess SDS and BMI%.

Keywords

dietary recall body mass index percentile children social desirability school-meal observation

Get full access to this article

View all access options for this article.

References

Baranowski, T. , Islam, N. , Baranowski, J. , Cullen, K.W. , Myres, D. , Marsh, T. , et al. (2002). The Food Intake Recording Software System is valid among fourth-grade children. Journal of the American Dietetic Association, 102, 380-385.

Baxter, S.D. , Guinn, C.H. , Royer, J.A. , Hardin, J.W. , Mackelprang, A.J. , & Smith, A.F. ( 2009). Shortening the retention interval of 24-hour dietary recalls increases fourth-grade children’s accuracy for reporting energy and macronutrient intake at school meals. Manuscript submitted for publication.

Baxter, S.D. , Hardin, J.W. , Guinn, C.H. , Royer, J.A. , Mackelprang, A.J. , & Smith, A.F. ( 2009). Fourth-grade children’s dietary recall accuracy is influenced by retention interval (target period and interview time). Journal of the American Dietetic Association, 109, 846-856.

Baxter, S.D. , Hardin, J.W. , Royer, J.A. , Smith, A.F. , & Guinn, C.H. ( 2008). Sources of intrusions in children’s dietary recalls from a validation study of order prompts. Journal of Health Psychology, 13, 1157-1162.

Baxter, S.D. , Hardin, J.W. , Smith, A.F. , Royer, J.A. , Guinn, C.H. , & Mackelprang, A.J. (2009). Twenty-four hour dietary recalls by fourth-grade children were not influenced by observations of school meals. Journal of Clinical Epidemiology, 62, 878-885.

Baxter, S.D. , Smith, A.F. , Hardin, J.W. , & Nichols, M.N. ( 2007a). Conclusions about children’s reporting accuracy for energy and macronutrients over multiple interviews depend on the analytic approach for comparing reported information to reference information . Journal of the American Dietetic Association, 107, 595-604.

Baxter, S.D. , Smith, A.F. , Hardin, J.W. , & Nichols, M.N. ( 2007b). Conventional energy and macronutrient variables distort the accuracy of children’s dietary reports: Illustrative data from a validation study of effect of order prompts. Preventive Medicine , 44, 34-41.

Baxter, S.D. , Smith, A.F. , Litaker, M.S. , Baglio, M.L. , Guinn, C.H. , & Shaffer, N.M. ( 2004). Children’s social desirability and dietary reports . Journal of Nutrition Education and Behavior, 36, 84-89.

Baxter, S.D. , Smith, A.F. , Litaker, M.S. , Guinn, C.H. , Nichols, M.N. , Miller, P.H. , et al. (2006). Body mass index, sex, interview protocol, and children’s accuracy for reporting kilocalories observed eaten at school meals. Journal of the American Dietetic Association , 106, 1656-1662.

10.

Baxter, S.D. , Smith, A.F. , Nichols, M.N. , Guinn, C.H. , & Hardin, J.W. ( 2006). Children’s dietary reporting accuracy over multiple 24-hour recalls varies by body mass index category. Nutrition Research, 26, 241-248.

11.

Centers for Disease Control and Prevention. ( 2009). BMI Percentile Calculator for Child and Teen: English Version. Retrieved 8 October 2009, from http://apps.nccd.cdc.gov/dnpabmi/Calculator.aspx

12.

Crandall, V.C. , Crandall, V.J. , & Katkovsky, W. ( 1965). A children’s social desirability questionnaire . Journal of Consulting Psychology, 29, 27-36.

13.

Fisher, J.O. , Johnson, R.K. , Lindquist, C. , Birch, L.L. , & Goran, M.I. ( 2000). Influence of body composition on the accuracy of reported energy intake in children. Obesity Research, 8(8), 597-603.

14.

Guinn, C.H. , Baxter, S.D. , Hardin, J.W. , Royer, J.A. , & Smith, A.F. ( 2008). Intrusions in children’s dietary recalls: The roles of BMI, sex, race, interview protocol, and social desirability. Obesity, 16, 2169-2174.

15.

Guinn, C.H. , Baxter, S.D. , Litaker, M.S. , & Thompson, W.O. (2007). Prevalence of overweight and at risk of overweight in fourth-grade children across five school-based studies conducted during four school years. Journal of Child Nutrition & Management, 31. Retrieved 8 October 2009, from http://docs.schoolnutrition.org/newsroom/jcnm/07spring/guinn/index.asp

16.

Hebert, J.R. , Ebbeling, C.B. , Matthews, C.E. , Hurley, T.G. , Ma, Y. , Druker, S. , et al. (2002). Systematic errors in middle-aged women’s estimates of energy intake: Comparing three self-report measures to total energy expenditure from doubly labeled water. Annals of Epidemiology , 12, 577-586.

17.

Hedley, A.A. , Ogden, C.L. , Johnson, C.L. , Carroll, M.D. , Curtin, L.R. , & Flegal, K.M. ( 2004). Prevalence of overweight and obesity among US children, adolescents, and adults, 1999-2002. Journal of the American Medical Association, 291, 2847-2850.

18.

Johnson, R.K. , Soultanakis, R.P. , & Matthews, D.E. (1998). Literacy and body fatness are associated with underreporting of energy intake in US low-income women using the multiple-pass 24-hour recall: A doubly labeled water study. Journal of the American Dietetic Association, 98, 1136-1140.

19.

Kaskoun, M.C. , Johnson, R.K. , & Goran, M.I. ( 1994). Comparison of energy intake by semiquantitative food frequency questionnaire with total energy expenditure by the doubly labeled water method in young children. American Journal of Clinical Nutrition, 60, 43-47.

20.

Klesges, L.M. , Baranowski, T. , Beech, B. , Cullen, K. , Murray, D.M. , Rochon, J. , et al. (2004). Social desirability bias in self-reported dietary, physical activity and weight concern measures in 8- to 10-year old African-American girls: Results from the Girls health Enrichment Multisite Studies (GEMS). Preventive Medicine, 38, S78-S87.

21.

Kuczmarski, R.J. , Ogden, C.L. , Guo, S.S. , Grummer-Strawn, L.M. , Flegal, K.M. , Mei, Z. , et al. (2002). 2000 CDC Growth Charts for the United States: Methods and development. National Center for Health Statistics. Vital Health Stat, 11(246). Retrieved 8 October 2009, from http://www.cdc.gov/nchs/data/series/sr_11/sr11_246.pdf

22.

Livingstone, M.B.E. , & Robson, P.J. ( 2000). Measurement of dietary intake in children. Proceedings of the Nutrition Society, 57, 279-293.

23.

Lohman, T.G. , Roche, A.F. , & Martorell, R. ( 1988). Anthropometric standardization reference manual . Champaign, IL: Human Kinetics Books.

24.

Luepker, R.V. , Perry, C.L. , McKinlay, S.M. , Nader, P.R. , Parcel, G.S. , Stone, E.J. , et al. (1996). Outcomes of a field trial to improve children’s dietary patterns and physical activity: The Child and Adolescent Trial for Cardiovascular Health (CATCH). Journal of the American Medical Association, 275(10), 768-776.

25.

Maternal and Child Health Bureau. (n.d.). Accurately weighing & measuring: Technique. Retrieved 8 October 2009, from http://depts.washington.edu/growth/module5/text/intro.htm

26.

O’Connor, J. , Ball, E.J. , Steinbeck, K.S. , Davies, P.S.W. , Wishart, C. , Gaskin, K.J. , et al. (2001). Comparison of total energy expenditure and energy intake in children aged 6-9 y. American Journal of Clinical Nutrition, 74, 643-649.

27.

Paulhus, D.L. ( 1991). Measurement and control response bias. In J. P. Robinson , P. R. Shaver , & L. S. Wrightsman (Eds.), Measures of personality and social psychological attitudes (pp. 17-59). San Diego, CA: Academic Press.

28.

Phares, V. , Steinberg, A.R. , & Thompson, J.K. (2004). Gender differences in peer and parental influences: Body image disturbance, self-worth, and psychological functioning in preadolescent children. Journal of Youth and Adolescence, 33, 421-429.

29.

Ralston, K. , Newman, C. , Clauson, A. , Guthrie, J. , & Buzby, J. ( 2008). The National School Lunch Program: Background, trends, and issues. Economic Research Report No. EER-61. Retrieved 8 October 2009, from http://www.ers.usda.gov/Publications/ERR61/

30.

Receveur, O. , Morou, K. , Gray-Donald, K. , & Macaulay, A.C. (2008). Consumption of key food items is associated with excess weight among elementary-school-aged children in a Canadian First Nations Community. Journal of the American Dietetic Association, 108, 362-366.

31.

Smith, A.F. ( 1991). Cognitive processes in long-term dietary recall. Vital and Health Statistics, Series 6, No. 4. Hyattsville, MD: National Center for Health Statistics.

32.

Smith, A.F. , Baxter, S.D. , Hardin, J.W. , & Nichols, M.N. ( 2007). Conventional analyses of data from dietary validation studies may misestimate reporting accuracy: Illustration from a study of the effect of interview modality on children’s reporting accuracy. Public Health Nutrition, 10, 1247-1256.

33.

Smith, A.F. , Jobe, J.B. , & Mingay, D.J. ( 1991). Retrieval from memory of dietary information. Applied Cognitive Psychology, 5, 269-296.

34.

Strickland, B.R. ( 1977). Approval motivation. In T. Blass (Ed.), Personality variables in social behavior (pp. 315-356). Hillsdale, NJ: Lawrence Erlbaum Associates.

35.

US Department of Health and Human Services, & US Department of Agriculture. (2005). Dietary guidelines for Americans, 2005 (6th ed.). Retrieved 8 October 2009, from http://www.healthierus.gov/dietaryguidelines

36.

Wang, Y. , & Lobstein, T. ( 2006). Worldwide trends in childhood overweight and obesity . International Journal of Pediatric Obesity, 1, 11-25.

37.

Wellek, S. ( 2002). Testing statistical hypotheses of equivalence . Boca Raton, FL: Chapman Hall/CRC Press.

38.

Worsley, A. , Baghurst, K.I. , & Leitch, D.R. ( 1984). Social desirability response bias and dietary inventory responses. Human Nutrition: Applied Nutrition, 38A, 29-35.