Literature DB >> 9550166

Assessment of energy intake underreporting by doubly labeled water and observations on reported nutrient intakes in children.

C M Champagne1, N B Baker, J P DeLany, D W Harsha, G A Bray.   

Abstract

OBJECTIVE: To compare reported energy intake with energy expenditure using doubly labeled water (DLW). Additionally, we compared reported nutrient intakes of our subject population with national survey population data from the third National Health and Nutrition Examination Survey (NHANES III).
DESIGN: This was a cross-sectional study of children, balanced by race and gender, primarily characterized by 4 body types: lean, obese, centrally fat, or peripherally fat. SUBJECTS/
SETTING: Children (n=118; mean age=10 years) kept 8-day food records, with nutritionists recording weekday school lunch intakes. These subjects, assisted by their parents, recorded all breakfasts, dinners, snacks, and weekend lunches. STATISTICAL ANALYSES PERFORMED: Data were analyzed using least squares analysis of variance with the general linear models procedure. Tukey's test was used for multiple comparisons of predicted treatment means.
RESULTS: Mean daily energy intake was underreported by 17% to 33% of energy expenditure. The tendency to underreport increased with age. Underreporting occurred in all groups and subgroups studied. Reported mean intakes of vitamin A, vitamin E, vitamin B-6, calcium, zinc, and copper were less than 70% of the Recommended Dietary Allowance (RDA) for African-American girls, whereas African-American boys reported similarly low intakes of copper. On average, white girls reported intakes less than 70% of the RDA for zinc and copper, whereas white boys reported low intakes of copper (60% of the RDA). Reported intakes in general were somewhat lower than those reported in NHANES III. APPLICATIONS/
CONCLUSIONS: Dietetics professionals may modify the nutritional advice they give to patients/subjects based on food intake records and other data. For children, particularly, it is imperative that ethnic and gender differences be taken into consideration and that all foods eaten be accounted for as much as possible.

Entities:  

Mesh:

Year:  1998        PMID: 9550166     DOI: 10.1016/S0002-8223(98)00097-2

Source DB:  PubMed          Journal:  J Am Diet Assoc        ISSN: 0002-8223


  53 in total

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2.  Use of accelerometer data in prediction equations for capturing implausible dietary intakes in adolescents.

Authors:  Sabrina E Noel; Calum Mattocks; Pauline Emmett; Chris J Riddoch; Andrew R Ness; P K Newby
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Review 4.  Relevance of animal models to human eating disorders and obesity.

Authors:  Regina C Casper; Elinor L Sullivan; Laurence Tecott
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5.  Nutrient intakes and food consumption patterns among Ontario students in grades six, seven, and eight.

Authors:  Rhona M Hanning; Sarah J Woodruff; Irene Lambraki; Linda Jessup; Pete Driezen; Caroline C Murphy
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6.  A rapidly occurring compensatory decrease in physical activity counteracts diet-induced weight loss in female monkeys.

Authors:  Elinor L Sullivan; Judy L Cameron
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2010-01-13       Impact factor: 3.619

7.  Food portion patterns and trends among U.S. children and the relationship to total eating occasion size, 1977-2006.

Authors:  Carmen Piernas; Barry M Popkin
Journal:  J Nutr       Date:  2011-04-27       Impact factor: 4.798

8.  Fit4Life: a weight loss intervention for children who have survived childhood leukemia.

Authors:  Jeannie S Huang; Lindsay Dillon; Laura Terrones; Lynn Schubert; William Roberts; Jerry Finklestein; Maria C Swartz; Gregory J Norman; Kevin Patrick
Journal:  Pediatr Blood Cancer       Date:  2014-01-16       Impact factor: 3.167

9.  Relationship between dietary energy density and dietary quality in overweight young children: a cross-sectional analysis.

Authors:  S A Poole; C N Hart; E Jelalian; H A Raynor
Journal:  Pediatr Obes       Date:  2015-04-24       Impact factor: 4.000

Review 10.  Merging dietary assessment with the adolescent lifestyle.

Authors:  T E Schap; F Zhu; E J Delp; C J Boushey
Journal:  J Hum Nutr Diet       Date:  2013-03-13       Impact factor: 3.089

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