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Variability in results from predicted resting energy needs as compared to measured resting metabolic rate: Determining the most accurate formula for use in younger children
Author(s) -
Kim EunKyung,
Kim JaeHee,
Lawrence Jeannine Clunk
Publication year - 2008
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.22.1_supplement.1090.4
Subject(s) - bioelectrical impedance analysis , resting energy expenditure , basal metabolic rate , mathematics , demography , statistics , body surface area , population , energy expenditure , medicine , psychology , cardiology , body mass index , sociology
Energy prediction equations are often used to predict energy needs in young children, however little data is available regarding their accuracy in this population. This study compared measured resting energy expenditure to commonly‐used prediction equations to determine the most accurate formula. Methods: 42 kindergarten children (17 boys and 25 girls; mean age 5.0 ± 0.9 y.o.) from the Gangneung area, South Korea were included. Measurements included: resting metabolic rate (MRMR; TrueOne 2400 metabolic cart); weight and height (digital scale/stadiometer); body fat (bioelectrical impedance analysis, Inbody720). Prediction equations included: the Harris‐Benedict, Dietary Reference Intakes, Mifflin, Maffeis, Body surface area, WHO/NAO/FAO, Schofield (‐W and –HW), Owen, FAO/WHO/UNU, and Cunningham. Results: Mean MRMR was 878.1 ± 56.1 kcal/day (no significant gender differences). Only results from the Maffeis and Schofield equations were not significantly different from the MRMR. Others showed differences of up to 227 ± 61.4 kcal/day. Conclusions: Care should be taking when choosing an energy prediction equation for younger children to select one that is most accurate. In this group of 4–6 y.o.'s both the Maffeis and the Schofield equations would be appropriate for predicting energy needs. Research support: Kangnung National University, South Korea