Literature DB >> 34462557

Misreporting of dietary energy intake obtained by 24 h recalls in older adults: a comparison of five previous methods using doubly labeled water.

Lais Duarte Batista1, Natasha Aparecida Grande de França1,2, Mariane de Mello Fontanelli1, Angela Graciela Martinez-Arroyo3, Regina Mara Fisberg4.   

Abstract

BACKGROUND/
OBJECTIVE: To test five different methods to detect misreporting in comparison to doubly labeled water in a sample of older adults. SUBJECTS/
METHODS: A cross-sectional study with thirty-eight Brazilian community-dwelling older adults aged 60-84 years, who had their total energy expenditure measured by doubly labeled water (TEEDLW). Dietary data were collected by two 24 h recalls. Misreporting was compared with estimates obtained by the methods proposed by: Goldberg et al. [1, 2], Black [3], McCrory et al. [4], Huang et al [5], and Rennie et al [6]. Bland-Altman plots with 95% limits of agreement were constructed to assess the agreement between rEI and TEEDLW. Weighted kappa coefficients, sensitivity and specificity analyses, and area under the receiving operator characteristic curve (AUC) were used to test the performance of each method.
RESULTS: The prevalence of under-reporters (UR) and over-reporters (OR) obtained by the reference (DLW) were 57.9% (n = 22) and 5.3% (n = 2), respectively. Black [3] presented the worst agreement and McCrory et al. [4] the best one to accurately classify individuals in the three categories of energy reporting. McCrory et al. [4] had the best performance in the sensitivity and specificity analyses detecting UR and plausible reporters.
CONCLUSIONS: There was a high prevalence of misreporting, especially underreporting, in this sample of community-dwelling Brazilian older adults. The study showed a wide variation in the accuracy of predictive methods to handle misreporting, with none of the equations showing outstanding agreement with the reference. When DLW is not available, a valid method should be chosen to address energy intake reporting.
© 2021. The Author(s), under exclusive licence to Springer Nature Limited.

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Year:  2021        PMID: 34462557     DOI: 10.1038/s41430-021-00998-z

Source DB:  PubMed          Journal:  Eur J Clin Nutr        ISSN: 0954-3007            Impact factor:   4.016


  30 in total

Review 1.  Markers of the validity of reported energy intake.

Authors:  M Barbara E Livingstone; Alison E Black
Journal:  J Nutr       Date:  2003-03       Impact factor: 4.798

Review 2.  Obesity and related consequences to ageing.

Authors:  Magdalena Jura; Leslie P Kozak
Journal:  Age (Dordr)       Date:  2016-02-04

3.  Effect of screening out implausible energy intake reports on relationships between diet and BMI.

Authors:  Terry T-K Huang; Susan B Roberts; Nancy C Howarth; Megan A McCrory
Journal:  Obes Res       Date:  2005-07

Review 4.  Critical evaluation of energy intake data using fundamental principles of energy physiology: 1. Derivation of cut-off limits to identify under-recording.

Authors:  G R Goldberg; A E Black; S A Jebb; T J Cole; P R Murgatroyd; W A Coward; A M Prentice
Journal:  Eur J Clin Nutr       Date:  1991-12       Impact factor: 4.016

5.  Evaluation of different methods to handle misreporting in obesity research: evidence from the Canadian national nutrition survey.

Authors:  Mahsa Jessri; Wendy Y Lou; Mary R L'Abbé
Journal:  Br J Nutr       Date:  2015-11-02       Impact factor: 3.718

Review 6.  Procedures for screening out inaccurate reports of dietary energy intake.

Authors:  Megan A McCrory; Megan A McCrory; Cheryl L Hajduk; Susan B Roberts
Journal:  Public Health Nutr       Date:  2002-12       Impact factor: 4.022

Review 7.  Critical evaluation of energy intake data using fundamental principles of energy physiology: 2. Evaluating the results of published surveys.

Authors:  A E Black; G R Goldberg; S A Jebb; M B Livingstone; T J Cole; A M Prentice
Journal:  Eur J Clin Nutr       Date:  1991-12       Impact factor: 4.016

8.  Misreporting of energy intake in the elderly using doubly labeled water to measure total energy expenditure and weight change.

Authors:  Danit R Shahar; Binbing Yu; Denise K Houston; Stephen B Kritchevsky; Anne B Newman; Deborah E Sellmeyer; Frances A Tylavsky; Jung Sun Lee; Tamara B Harris
Journal:  J Am Coll Nutr       Date:  2010-02       Impact factor: 3.169

9.  Estimating under-reporting of energy intake in dietary surveys using an individualised method.

Authors:  Kirsten L Rennie; Andy Coward; Susan A Jebb
Journal:  Br J Nutr       Date:  2007-04-16       Impact factor: 3.718

10.  Under-reporting of food intake and body fatness in independent older people: a doubly labelled water study.

Authors:  Karina Pfrimer; Mariana Vilela; Cristina Maria Resende; Fernanda Baeza Scagliusi; Julio Sergio Marchini; Nereida K C Lima; Julio Cesar Moriguti; Eduardo Ferriolli
Journal:  Age Ageing       Date:  2014-10-22       Impact factor: 10.668

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