Literature DB >> 24635904

Measuring the difference between actual and reported food intakes in the context of energy balance under laboratory conditions.

R James Stubbs1, Leona M O'Reilly1, Stephen Whybrow2, Zoë Fuller1, Alexandra M Johnstone1, M Barbara E Livingstone3, Patrick Ritz4, Graham W Horgan5.   

Abstract

To date, no study has directly and simultaneously measured the discrepancy between what people actually eat and what they report eating under observation in the context of energy balance (EB). The present study aimed to objectively measure the 'extent' and 'nature' of misreporting of dietary intakes under conditions in which EB and feeding behaviour were continuously monitored. For this purpose, a total of fifty-nine adults were recruited for 12 d, involving two 3 d overt phases and two 3 d covert phases of food intake measurement in a randomised cross-over design. Subjects had ad libitum access to a variety of familiar foods. Food intake was covertly measured using a feeding behaviour suite to establish actual energy and nutrient intakes. During the overt phases, subjects were instructed to self-report food intake using widely accepted methods. Misreporting comprised two separate and synchronous phenomena. Subjects decreased energy intake (EI) when asked to record their food intake (observation effect). The effect was significant in women ( - 8 %, P< 0·001) but not in men ( - 3 %, P< 0·277). The reported EI was 5 to 21 % lower (reporting effect) than the actual intake, depending on the reporting method used. Semi-quantitative techniques gave larger discrepancies. These discrepancies were identical in men and women and non-macronutrient specific. The 'observation' and 'reporting' effects combined to constitute total misreporting, which ranged from 10 to 25 %, depending on the intake measurement assessed. When studied in a laboratory environment and EB was closely monitored, subjects under-reported their food intake and decreased the actual intake when they were aware that their intake was being monitored.

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Year:  2014        PMID: 24635904     DOI: 10.1017/S0007114514000154

Source DB:  PubMed          Journal:  Br J Nutr        ISSN: 0007-1145            Impact factor:   3.718


  30 in total

1.  Protein intake and lean body mass preservation during energy intake restriction in overweight older adults.

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2.  Parental and Child Factors Associated with Under-Estimation of Children with Excess Weight in Spain.

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Journal:  Matern Child Health J       Date:  2017-11

3.  Associations of plasma, RBCs, and hair carbon and nitrogen isotope ratios with fish, meat, and sugar-sweetened beverage intake in a 12-wk inpatient feeding study.

Authors:  Susanne B Votruba; Pamela A Shaw; Eric J Oh; Colleen A Venti; Susan Bonfiglio; Jonathan Krakoff; Diane M O'Brien
Journal:  Am J Clin Nutr       Date:  2019-12-01       Impact factor: 7.045

4.  Plausible self-reported dietary intakes in a residential facility are not necessarily reliable.

Authors:  S Whybrow; R J Stubbs; A M Johnstone; L M O'Reilly; Z Fuller; M B E Livingstone; G W Horgan
Journal:  Eur J Clin Nutr       Date:  2015-07-29       Impact factor: 4.016

5.  Comparison of Methods Used to Correct Self-Reported Protein Intake for Systematic Variation in Reported Energy Intake Using Quantitative Biomarkers of Dietary Intake.

Authors:  Amy L Korth; Surabhi Bhutani; Marian L Neuhouser; Shirley A Beresford; Linda Snetselaar; Lesley F Tinker; Dale A Schoeller
Journal:  J Nutr       Date:  2020-05-01       Impact factor: 4.798

6.  Modelling the associations between fat-free mass, resting metabolic rate and energy intake in the context of total energy balance.

Authors:  M Hopkins; G Finlayson; C Duarte; S Whybrow; P Ritz; G W Horgan; J E Blundell; R J Stubbs
Journal:  Int J Obes (Lond)       Date:  2015-08-17       Impact factor: 5.095

7.  Obese individuals do not underreport dietary intake to a greater extent than nonobese individuals when data are allometrically-scaled.

Authors:  Sally P Waterworth; Catherine J Kerr; Christopher J McManus; Rianne Costello; Gavin R H Sandercock
Journal:  Am J Hum Biol       Date:  2022-03-08       Impact factor: 2.947

8.  Weight outcomes audit in 1.3 million adults during their first 3 months' attendance in a commercial weight management programme.

Authors:  R James Stubbs; Liam Morris; Carolyn Pallister; Graham Horgan; Jacquie H Lavin
Journal:  BMC Public Health       Date:  2015-09-10       Impact factor: 3.295

9.  Energy Availability and RED-S Risk Factors in Competitive, Non-elite Male Endurance Athletes.

Authors:  Amy R Lane; Anthony C Hackney; Abbie E Smith-Ryan; Kristen Kucera; Johna K Register-Mihalik; Kristin Ondrak
Journal:  Transl Med Exerc Prescr       Date:  2021-06-07

10.  Relative validity and reproducibility of a food frequency questionnaire to assess dietary fiber intake in Danish adults.

Authors:  Stine Vuholm; Janne K Lorenzen; Mette Kristensen
Journal:  Food Nutr Res       Date:  2014-12-04       Impact factor: 3.894

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