BACKGROUND: The accuracy of dietary energy assessment tools is critical to understanding the role of diet in the increasing rate of obesity. OBJECTIVES: The purposes of our study in overweight adolescent boys and girls were 1) to assess the energy reporting bias of diet records against the referent of total energy expenditure (TEE) and 2) to compare the methods of determining energy needs by using measured metabolizable energy intake (MEI) and TEE. DESIGN: Twenty girls [12-15 y, body mass index (in kg/m2) = 33.0 +/- 5] and 14 boys (12-14 y, body mass index = 27.4 +/- 4) participated in 2- to 3-wk metabolic balance studies. TEE was measured by using doubly labeled water (TEE(DLW)), and MEI was measured by bomb calorimetry of composite daily diet, urine, and fecal collections. Food records were collected before each study. RESULTS: Food records underreported TEE(DLW) by 35 +/- 20%. Underreporting of energy intake was correlated with all macronutrient intake concentrations (g or kcal) (P < 0.0001). A multiple regression model showed that 86.4% of the variance in underreporting error was explained by dietary fat (g), BMI, and sex. The intrasubject CV was 3.9% for TEE(DLW) and 9.9% for MEI. MEI for weight stability (MEI(wtstb)) averaged 99 +/- 11% of TEE. CONCLUSIONS: The increased underreporting of dietary intake with increasing body weight in teens may explain in part previous reports noting that there has been an increased incidence of obesity, although energy intakes have not appeared to increase. MEI(wtstb) and TEE(DLW) gave similar estimates of energy needs. This trial was registered at clinicaltrials.gov as NCT 00592137.
BACKGROUND: The accuracy of dietary energy assessment tools is critical to understanding the role of diet in the increasing rate of obesity. OBJECTIVES: The purposes of our study in overweight adolescent boys and girls were 1) to assess the energy reporting bias of diet records against the referent of total energy expenditure (TEE) and 2) to compare the methods of determining energy needs by using measured metabolizable energy intake (MEI) and TEE. DESIGN: Twenty girls [12-15 y, body mass index (in kg/m2) = 33.0 +/- 5] and 14 boys (12-14 y, body mass index = 27.4 +/- 4) participated in 2- to 3-wk metabolic balance studies. TEE was measured by using doubly labeled water (TEE(DLW)), and MEI was measured by bomb calorimetry of composite daily diet, urine, and fecal collections. Food records were collected before each study. RESULTS: Food records underreported TEE(DLW) by 35 +/- 20%. Underreporting of energy intake was correlated with all macronutrient intake concentrations (g or kcal) (P < 0.0001). A multiple regression model showed that 86.4% of the variance in underreporting error was explained by dietary fat (g), BMI, and sex. The intrasubject CV was 3.9% for TEE(DLW) and 9.9% for MEI. MEI for weight stability (MEI(wtstb)) averaged 99 +/- 11% of TEE. CONCLUSIONS: The increased underreporting of dietary intake with increasing body weight in teens may explain in part previous reports noting that there has been an increased incidence of obesity, although energy intakes have not appeared to increase. MEI(wtstb) and TEE(DLW) gave similar estimates of energy needs. This trial was registered at clinicaltrials.gov as NCT 00592137.
Authors: M B Livingstone; A M Prentice; W A Coward; J J Strain; A E Black; P S Davies; C M Stewart; P G McKenna; R G Whitehead Journal: Am J Clin Nutr Date: 1992-07 Impact factor: 7.045
Authors: Peter Manu; Constantin Ionescu-Tirgoviste; James Tsang; Barbara A Napolitano; Martin L Lesser; Christoph U Correll Journal: Obes Res Clin Pract Date: 2012-01 Impact factor: 2.288
Authors: Sabrina E Noel; Calum Mattocks; Pauline Emmett; Chris J Riddoch; Andrew R Ness; P K Newby Journal: Am J Clin Nutr Date: 2010-09-29 Impact factor: 7.045
Authors: Paula C Chandler-Laney; Desti N Shepard; Camille R Schneider; Lee Anne Flagg; Wesley M Granger; Melissa S Mancuso; Joseph R Biggio; Barbara A Gower Journal: J Nutr Date: 2016-04-06 Impact factor: 4.798
Authors: Amanda L P Sands; Laurie A Higgins; Sanjeev N Mehta; Tonja R Nansel; Leah M Lipsky; Lori M B Laffel Journal: J Diabetes Sci Technol Date: 2013-01-01
Authors: Cara B Ebbeling; Henry A Feldman; Virginia R Chomitz; Tracy A Antonelli; Steven L Gortmaker; Stavroula K Osganian; David S Ludwig Journal: N Engl J Med Date: 2012-09-21 Impact factor: 91.245
Authors: Deborah A Cohen; Bonnie Ghosh-Dastidar; Robin Beckman; Leslie Lytle; John Elder; Mark A Pereira; Sara Veblen Mortenson; Julie Pickrel; Terry L Conway Journal: Health Place Date: 2012-06-23 Impact factor: 4.078
Authors: Aaron S Kelly; Marsha D Marcus; Jack A Yanovski; Susan Z Yanovski; Stavroula K Osganian Journal: Int J Obes (Lond) Date: 2018-10-03 Impact factor: 5.095