Literature DB >> 18377688

Under-reporting of energy intake is more prevalent in a healthy dietary pattern cluster.

Fernanda B Scagliusi1, Eduardo Ferriolli, Karina Pfrimer, Cibele Laureano, Caroline S F Cunha, Bruno Gualano, Bárbara Lourenço, Antonio H Lancha.   

Abstract

The aim of the present study was to determine whether under-reporting rates vary between dietary pattern clusters. Subjects were sixty-five Brazilian women. During 3 weeks, anthropometric data were collected, total energy expenditure (TEE) was determined by the doubly labelled water method and diet was measured. Energy intake (EI) and the daily frequency of consumption per 1000 kJ of twenty-two food groups were obtained from a FFQ. These frequencies were entered into a cluster analysis procedure in order to obtain dietary patterns. Under-reporters were defined as those who did not lose more than 1 kg of body weight during the study and presented EI:TEE less than 0.82. Three dietary pattern clusters were identified and named according to their most recurrent food groups: sweet foods (SW), starchy foods (ST) and healthy (H). Subjects from the healthy cluster had the lowest mean EI:TEE (SW = 0.86, ST = 0.71 and H = 0.58; P = 0.003) and EI - TEE (SW = - 0.49 MJ, ST = - 3.20 MJ and H = - 5.08 MJ; P = 0.008). The proportion of under-reporters was 45.2 (95 % CI 35.5, 55.0) % in the SW cluster; 58.3 (95 % CI 48.6, 68.0) % in the ST cluster and 70.0 (95 % CI 61.0, 79) % in the H cluster (P = 0.34). Thus, in Brazilian women, under-reporting of EI is not uniformly distributed among dietary pattern clusters and tends to be more severe among subjects from the healthy cluster. This cluster is more consistent with both dietary guidelines and with what lay individuals usually consider 'healthy eating'.

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Year:  2008        PMID: 18377688     DOI: 10.1017/S0007114508971300

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


  15 in total

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Authors:  K L Beck; B Jones; I Ullah; S A McNaughton; S J Haslett; W Stonehouse
Journal:  Eur J Nutr       Date:  2017-04-04       Impact factor: 5.614

2.  Under-reporting of dietary energy intake in five populations of the African diaspora.

Authors:  Lindsay Orcholski; Amy Luke; Jacob Plange-Rhule; Pascal Bovet; Terrence E Forrester; Estelle V Lambert; Lara R Dugas; Elizabeth Kettmann; Ramon A Durazo-Arvizu; Richard S Cooper; Dale A Schoeller
Journal:  Br J Nutr       Date:  2015-01-13       Impact factor: 3.718

3.  Should nutrient profile models be 'category specific' or 'across-the-board'? A comparison of the two systems using diets of British adults.

Authors:  P Scarborough; C Arambepola; A Kaur; P Bhatnagar; M Rayner
Journal:  Eur J Clin Nutr       Date:  2010-03-10       Impact factor: 4.016

4.  Mis-reporting, previous health status and health status of family may seriously bias the association between food patterns and disease.

Authors:  Agneta Hörnell; Anna Winkvist; Göran Hallmans; Lars Weinehall; Ingegerd Johansson
Journal:  Nutr J       Date:  2010-10-30       Impact factor: 3.271

5.  Does habitual dietary intake influence myofiber hypertrophy in response to resistance training? A cluster analysis.

Authors:  Anna E Thalacker-Mercer; John K Petrella; Marcas M Bamman
Journal:  Appl Physiol Nutr Metab       Date:  2009-08       Impact factor: 2.665

6.  Dietary greenhouse gas emissions of meat-eaters, fish-eaters, vegetarians and vegans in the UK.

Authors:  Peter Scarborough; Paul N Appleby; Anja Mizdrak; Adam D M Briggs; Ruth C Travis; Kathryn E Bradbury; Timothy J Key
Journal:  Clim Change       Date:  2014-06-11       Impact factor: 4.743

7.  Association between Adult Stature and Energy Expenditure in Low-Income Women from Northeastern Brazil.

Authors:  Fabiana Cristina Alves Albuquerque; Nassib Bezerra Bueno; Ana Paula Grotti Clemente; Eduardo Ferriolli; Telma Maria Menezes Toledo Florêncio; Daniel Hoffman; Ana Lydia Sawaya
Journal:  PLoS One       Date:  2015-07-06       Impact factor: 3.240

8.  Effect of energy under-reporting on secular trends of dietary patterns in a mediterranean population.

Authors:  Anna N Funtikova; Santiago F Gomez; Montserrat Fitó; Roberto Elosua; Alejandra A Benítez-Arciniega; Helmut Schröder
Journal:  PLoS One       Date:  2015-05-29       Impact factor: 3.240

9.  Validity of energy intake reports in relation to dietary patterns.

Authors:  Mahboubeh Shaneshin; Mahsa Jessri; Bahram Rashidkhani
Journal:  J Health Popul Nutr       Date:  2014-03       Impact factor: 2.000

Review 10.  Estimating free-living human energy expenditure: Practical aspects of the doubly labeled water method and its applications.

Authors:  Jonghoon Park; Ishikawa-Takata Kazuko; Eunkyung Kim; Jeonghyun Kim; Jinsook Yoon
Journal:  Nutr Res Pract       Date:  2014-05-15       Impact factor: 1.926

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