Literature DB >> 10702167

Psychological measures of eating behavior and the accuracy of 3 common dietary assessment methods in healthy postmenopausal women.

G P Bathalon1, K L Tucker, N P Hays, A G Vinken, A S Greenberg, M A McCrory, S B Roberts.   

Abstract

BACKGROUND: Factors affecting the accuracy of reported energy intake (rEI) need to be identified.
OBJECTIVE: Our objective was to investigate the association of psychological measures of eating behavior with the accuracy of rEI assessed by 7-d weighed intakes, a 24-h recall, and a food-frequency questionnaire.
DESIGN: Subjects were 26 restrained eaters aged 60.3 +/- 0.6 y (mean +/- SEM) and weighing 63.8 +/- 1.7 kg and 34 unrestrained eaters aged 59.4 +/- 0.6 y and weighing 64.0 kg. rEI was assessed by using 3 dietary assessment methods and total energy expenditure (TEE) was determined by using doubly labeled water. Calculated EI (cEI) was determined as TEE corrected for the estimated change in body energy. Subjects completed the Eating Inventory.
RESULTS: rEI values were significantly lower than TEE values for all 3 dietary assessment methods (P < 0.05); there was no significant relation between rEI and TEE by any method. There was no significant difference in 100 x rEI:TEE between restrained and unrestrained eaters by any of the dietary assessment methods. When combined data from the 3 methods were used, 100 x rEI:cEI was not significantly different from 100% in unrestrained eaters (99 +/- 6.8%) but was lower in restrained eaters (89.1 +/- 5.3%; P < 0.05). There was a positive relation between hunger and 100 x rEI:TEE (P < 0.05).
CONCLUSIONS: Low hunger is associated with undereating relative to normal eating during measurement of dietary intake; high dietary restraint may be associated with a reduction in reporting of consumed foods. Dietary hunger and restraint assessed with use of the Eating Inventory may help to identify subjects likely to underreport dietary intake.

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Year:  2000        PMID: 10702167     DOI: 10.1093/ajcn/71.3.739

Source DB:  PubMed          Journal:  Am J Clin Nutr        ISSN: 0002-9165            Impact factor:   7.045


  37 in total

1.  Technology-Assisted Dietary Assessment.

Authors:  Fengqing Zhu; Anand Mariappan; Carol J Boushey; Deb Kerr; Kyle D Lutes; David S Ebert; Edward J Delp
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2008-03-20

2.  Long Term Effects of Energy-Restricted Diets Differing in Glycemic Load on Metabolic Adaptation and Body Composition.

Authors:  Sai Krupa Das; Cheryl H Gilhooly; Julie K Golden; Anastassios G Pittas; Paul J Fuss; Gerard E Dallal; Megan A McCrory; Edward Saltzman; Susan B Roberts
Journal:  Open Nutr J       Date:  2007-04-01

3.  Effects of a weight maintenance diet on bulimic symptoms in adolescent girls: an experimental test of the dietary restraint theory.

Authors:  Eric Stice; Katherine Presnell; Lisa Groesz; Heather Shaw
Journal:  Health Psychol       Date:  2005-07       Impact factor: 4.267

4.  Evaluation of a healthy-weight treatment program for bulimia nervosa: a preliminary randomized trial.

Authors:  Emily Burton; Eric Stice
Journal:  Behav Res Ther       Date:  2006-02-03

5.  Explaining variability in sodium intake through oral sensory phenotype, salt sensation and liking.

Authors:  John E Hayes; Bridget S Sullivan; Valerie B Duffy
Journal:  Physiol Behav       Date:  2010-04-07

6.  Use of cereal fiber to facilitate adherence to a human caloric restriction program.

Authors:  Cheryl H Gilhooly; Sai Krupa Das; Julie K Golden; Megan A McCrory; James Rochon; James P DeLany; Alicia M Freed; Paul J Fuss; Gerard E Dallal; Edward Saltzman; Susan B Roberts
Journal:  Aging Clin Exp Res       Date:  2008-12       Impact factor: 3.636

7.  Are dietary restraint scales valid measures of dietary restriction? Additional objective behavioral and biological data suggest not.

Authors:  Eric Stice; Robyn Sysko; Christina A Roberto; Shelley Allison
Journal:  Appetite       Date:  2009-12-16       Impact factor: 3.868

8.  Development and Validation of an Objective, Passive Dietary Assessment Method for Estimating Food and Nutrient Intake in Households in Low- and Middle-Income Countries: A Study Protocol.

Authors:  Modou L Jobarteh; Megan A McCrory; Benny Lo; Mingui Sun; Edward Sazonov; Alex K Anderson; Wenyan Jia; Kathryn Maitland; Jianing Qiu; Matilda Steiner-Asiedu; Janine A Higgins; Tom Baranowski; Peter Olupot-Olupot; Gary Frost
Journal:  Curr Dev Nutr       Date:  2020-02-07

9.  Subtyping women with bulimia nervosa along dietary and negative affect dimensions: further evidence of reliability and validity.

Authors:  Eric Stice; Cara Bohon; C Nathan Marti; Kathryn Fischer
Journal:  J Consult Clin Psychol       Date:  2008-12

10.  Caloric deprivation increases responsivity of attention and reward brain regions to intake, anticipated intake, and images of palatable foods.

Authors:  Eric Stice; Kyle Burger; Sonja Yokum
Journal:  Neuroimage       Date:  2012-11-28       Impact factor: 6.556

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