Literature DB >> 1877501

The nature and individuality of within-subject variation in energy intake.

V Tarasuk1, G H Beaton.   

Abstract

Examinations of observed within-subject variation in the energy intake of 29 adults participating in the Beltsville One-Year Dietary Intake Study suggest that individuals possess characteristic patterns of variability in total food intake (expressed as energy intake). Although the day-to-day variation appears to contain a sizable random component, significant nonrandom components were detected in the observed variation of all but one subject. Up to 37% of the total variance observed for a subject could be explained by the long- and short-term patterns identified in food intake. Both the shape and the amplitude of these patterns were unique to the individual subject, suggesting that observed within-subject variance is a function of the particular combination of environmental and biological pressures on the individual's total food intake at any one time and of the methodological errors inherent in the estimation of this intake.

Mesh:

Year:  1991        PMID: 1877501     DOI: 10.1093/ajcn/54.3.464

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


  15 in total

1.  Reproducibility of ad libitum energy intake with the use of a computerized vending machine system.

Authors:  Colleen A Venti; Susanne B Votruba; Paul W Franks; Jonathan Krakoff; Arline D Salbe
Journal:  Am J Clin Nutr       Date:  2009-11-18       Impact factor: 7.045

2.  Reply to E Archer and SN Blair.

Authors:  James R Hébert; Thomas G Hurley; Susan E Steck; Donald R Miller; Fred K Tabung; Lawrence H Kushi; Edward A Frongillo
Journal:  Adv Nutr       Date:  2015-03-13       Impact factor: 8.701

3.  Estimating changes in free-living energy intake and its confidence interval.

Authors:  Kevin D Hall; Carson C Chow
Journal:  Am J Clin Nutr       Date:  2011-05-11       Impact factor: 7.045

Review 4.  Considering the value of dietary assessment data in informing nutrition-related health policy.

Authors:  James R Hébert; Thomas G Hurley; Susan E Steck; Donald R Miller; Fred K Tabung; Karen E Peterson; Lawrence H Kushi; Edward A Frongillo
Journal:  Adv Nutr       Date:  2014-07-14       Impact factor: 8.701

5.  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

6.  Do low-income lone mothers compromise their nutrition to feed their children?

Authors:  Lynn McIntyre; N Theresa Glanville; Kim D Raine; Jutta B Dayle; Bonnie Anderson; Noreen Battaglia
Journal:  CMAJ       Date:  2003-03-18       Impact factor: 8.262

7.  Corrective responses in human food intake identified from an analysis of 7-d food-intake records.

Authors:  George A Bray; Jean-Pierre Flatt; Julia Volaufova; James P Delany; Catherine M Champagne
Journal:  Am J Clin Nutr       Date:  2008-12       Impact factor: 7.045

8.  Short-term dietary compensation in free-living adults.

Authors:  F McKiernan; J H Hollis; R D Mattes
Journal:  Physiol Behav       Date:  2007-12-26

9.  Association of depressive symptoms and lifestyle behaviors among Latinos at risk of type 2 diabetes.

Authors:  Sherry L Pagoto; Yunsheng Ma; Jamie S Bodenlos; Barbara Olendzki; Milagros C Rosal; Trinidad Tellez; Philip Merriam; Ira S Ockene
Journal:  J Am Diet Assoc       Date:  2009-07

10.  Within- and Between-Subject Variation in Dietary Intake of Fermentable Oligo-, Di-, Monosaccharides, and Polyols Among Patients with Irritable Bowel Syndrome.

Authors:  Sanna Nybacka; Stine Störsrud; Therese Liljebo; Boris Le Nevé; Hans Törnblom; Magnus Simrén; Anna Winkvist
Journal:  Curr Dev Nutr       Date:  2018-12-24
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