Literature DB >> 8279427

A cognitive model of children's reporting of food intake.

T Baranowski1, S B Domel.   

Abstract

A model of cognitive processing is proposed to understand children's self-reports of diet. The model is a simplification of what is known about cognitive processing and includes three structural components: sensory register, short-term memory, and long-term memory. Several processes describe functioning of the model, including attention, perception (or interpretation), organization, retention, retrieval, and response formulation. The ideas explain several phenomena in the literature on children's self-reports of dietary intake. Research questions are identified for each process to help specify the model and lead to improved methods for dietary assessment in children.

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Year:  1994        PMID: 8279427     DOI: 10.1093/ajcn/59.1.212S

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


  30 in total

1.  Executive function and latent classes of childhood obesity risk.

Authors:  Nathaniel R Riggs; Jimi Huh; Chih-Ping Chou; Donna Spruijt-Metz; Mary Ann Pentz
Journal:  J Behav Med       Date:  2012-01-05

Review 2.  How to engage children in self-administered dietary assessment programmes.

Authors:  A S Lu; J Baranowski; N Islam; T Baranowski
Journal:  J Hum Nutr Diet       Date:  2012-05-18       Impact factor: 3.089

3.  On the Accuracy of Self-Report Instruments for Measuring Food Consumption in the School Setting.

Authors:  Matthew M Graziose
Journal:  Adv Nutr       Date:  2017-07-14       Impact factor: 8.701

4.  Skin carotenoid status measured by resonance Raman spectroscopy as a biomarker of fruit and vegetable intake in preschool children.

Authors:  S Scarmo; K Henebery; H Peracchio; B Cartmel; H Lin; I V Ermakov; W Gellermann; P S Bernstein; V B Duffy; S T Mayne
Journal:  Eur J Clin Nutr       Date:  2012-03-21       Impact factor: 4.016

5.  Physical activity and nutrition attitudes in obese Hispanic children with non-alcoholic steatohepatitis.

Authors:  Lana N Hattar; Theresa A Wilson; Leanel A Tabotabo; E O'Brian Smith; Stephanie H Abrams
Journal:  World J Gastroenterol       Date:  2011-10-21       Impact factor: 5.742

6.  Calibration and Validation of the Youth Activity Profile: The FLASHE Study.

Authors:  Pedro F Saint-Maurice; Youngwon Kim; Paul Hibbing; April Y Oh; Frank M Perna; Gregory J Welk
Journal:  Am J Prev Med       Date:  2017-06       Impact factor: 5.043

7.  Comparison of a Web-based versus traditional diet recall among children.

Authors:  Tom Baranowski; Noemi Islam; Janice Baranowski; Shelby Martin; Alicia Beltran; Hafza Dadabhoy; Su-heyla Adame; Kathleen B Watson; Debbe Thompson; Karen W Cullen; Amy F Subar
Journal:  J Acad Nutr Diet       Date:  2012-02-01       Impact factor: 4.910

8.  Correlates of sedentary behaviours in preschool children: a review.

Authors:  Trina Hinkley; Jo Salmon; Anthony D Okely; Stewart G Trost
Journal:  Int J Behav Nutr Phys Act       Date:  2010-09-08       Impact factor: 6.457

9.  Practical guide to measuring physical activity.

Authors:  Louisa G Sylvia; Emily E Bernstein; Jane L Hubbard; Leigh Keating; Ellen J Anderson
Journal:  J Acad Nutr Diet       Date:  2013-11-28       Impact factor: 4.910

10.  Impact exercise increases BMC during growth: an 8-year longitudinal study.

Authors:  Katherine Gunter; Adam Dg Baxter-Jones; Robert L Mirwald; Hawley Almstedt; Robyn K Fuchs; Shantel Durski; Christine Snow
Journal:  J Bone Miner Res       Date:  2008-07       Impact factor: 6.741

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