Literature DB >> 16614434

Varying levels of food energy self-reporting are associated with between-group, but not within-subject, differences in food intake.

John M de Castro1.   

Abstract

Energy intakes reported in diet diaries are frequently significantly below the energy requirements for a weight-stable individual. To investigate the impact of low energy reporting on between-group comparisons and within-subject analyses of eating behavior, we examined the baseline 7-d food-intake diaries submitted by 365 male and 564 female free-living normal adult humans. Participants were separated into 5 different groups, based upon their levels of energy reporting relative to their predicted basal metabolic rate: EI:BMR(est) = 0-0.99, 1.0-1.199, 1.2-1.399, 1.3-1.599, and > or =1.6. Between-group analysis revealed significant inverse relations among reporting level and body weight, BMI, cognitive restraint, positive relations with intake, meal size, and meal frequency. On the other hand, within-subject analyses suggested that, regardless of the level of energy reporting, equivalent relations are found among the amounts eaten in meals and the presence of other people, palatability, hunger, satiety, dietary energy density, contents of the stomach, time since the last meal, and time of day and correlations between daily intake and intake on subsequent days. The results suggest that comparing the intakes reported in diet diaries by different groups may be confounded by group differences in reporting levels. In contrast, the results clearly support the conclusion that diet diary data are suitable for assessing the relations between variables assessed within subjects irrespective of the level of reporting of energy intake.

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Year:  2006        PMID: 16614434     DOI: 10.1093/jn/136.5.1382

Source DB:  PubMed          Journal:  J Nutr        ISSN: 0022-3166            Impact factor:   4.798


  11 in total

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4.  Macronutrient intake associated with weight gain in adolescent girls with anorexia nervosa.

Authors:  Charumathi Baskaran; Traci L Carson; Karen J Campoverde Reyes; Kendra R Becker; Meghan J Slattery; Shreya Tulsiani; Kamryn T Eddy; Ellen J Anderson; Jane L Hubbard; Madhusmita Misra; Anne Klibanski
Journal:  Int J Eat Disord       Date:  2017-06-07       Impact factor: 4.861

5.  Creating an integrated care model for childhood obesity: a randomized pilot study utilizing telehealth in a community primary care setting.

Authors:  A Fleischman; S E Hourigan; H N Lyon; M G Landry; J Reynolds; S K Steltz; L Robinson; S Keating; H A Feldman; R C Antonelli; D S Ludwig; C B Ebbeling
Journal:  Clin Obes       Date:  2016-11-14

6.  Alternative methods of accounting for underreporting and overreporting when measuring dietary intake-obesity relations.

Authors:  Michelle A Mendez; Barry M Popkin; Genevieve Buckland; Helmut Schroder; Pilar Amiano; Aurelio Barricarte; José-María Huerta; José R Quirós; María-José Sánchez; Carlos A González
Journal:  Am J Epidemiol       Date:  2011-01-17       Impact factor: 4.897

7.  Dietary energy density is associated with energy intake in palliative care cancer patients.

Authors:  Ola Wallengren; Ingvar Bosaeus; Kent Lundholm
Journal:  Support Care Cancer       Date:  2012-02-19       Impact factor: 3.603

Review 8.  Appetite control: methodological aspects of the evaluation of foods.

Authors:  J Blundell; C de Graaf; T Hulshof; S Jebb; B Livingstone; A Lluch; D Mela; S Salah; E Schuring; H van der Knaap; M Westerterp
Journal:  Obes Rev       Date:  2010-01-29       Impact factor: 9.213

9.  A small-changes approach reduces energy intake in free-living humans.

Authors:  Nanette Stroebele; John M de Castro; Jennifer Stuht; Vicki Catenacci; Holly R Wyatt; James O Hill
Journal:  J Am Coll Nutr       Date:  2009-02       Impact factor: 3.169

10.  Overweight and obese humans overeat away from home.

Authors:  John M de Castro; George A King; Maria Duarte-Gardea; Salvador Gonzalez-Ayala; Charles H Kooshian
Journal:  Appetite       Date:  2012-05-04       Impact factor: 3.868

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