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Measured vs. Estimated Resting Energy Expenditure in a Clinic Population of Obese Youth
Author(s) -
Henes Sarah,
Hickner Robert,
Cummings Doyle,
Houmard Joseph,
Kolasa Kathryn,
Lazorick Suzanne,
Collier David
Publication year - 2012
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.26.1_supplement.811.8
Subject(s) - resting energy expenditure , percentile , medicine , caloric intake , mean difference , caloric theory , obesity , doubly labeled water , population , demography , body weight , energy expenditure , endocrinology , mathematics , statistics , confidence interval , environmental health , sociology
The objective of this study was to compare measured resting energy expenditure (MREE) using portable indirect calorimetry in obese youth with that estimated from six published predictive equations used by clinicians to determine caloric targets for weight loss. MREE was measured in fasting obese youth who were referred to a multidisciplinary Healthy Weight Clinic (n=80, mean age 12.18 yrs ± 0.31 SE, mean BMI 37.39 ± 1.07 SE, mean BMI z score 2.47± 0.04 SE). The mean caloric difference between MREE and each predictive equation was calculated. The Harris Benedict equation demonstrated the lowest mean caloric difference (197.94 kcal/d ± 23.26 SE) compared to MREE. While there was a strong correlation (p < 0.05) between MREE and estimations from each of the predictive equations, there was substantial variability between estimations and discrepancies by gender. Mean measured and estimated caloric differences were greater for males (634.12 kcal/d± 69.45 SE) than for females (254.51 kcal/d± 25.92 SE)(p<0.05). No significant racial differences were evident. These data demonstrate the inconsistent findings among predictive equations and suggest a stronger role for portable indirect calorimetry with obese youth in the clinical setting. When indirect calorimetry is not available, the Harris Benedict equation may be the best predictive equation to use in obese youth aged 7–18 who are >99 th percentile for age and gender.