Literature DB >> 11902371

The food intake recording software system is valid among fourth-grade children.

Tom Baranowski1, Noemi Islam, Janice Baranowski, Karen W Cullen, Dawnell Myres, Tara Marsh, Moor Carl de.   

Abstract

OBJECTIVES: To assess the validity of the Food Intake Recording Software System (FIRSSt) against observation of school lunch and a 24-hour dietary recall (24hDR); and to test the effects of sequencing, observation and a hair sample as a bogus pipeline on accuracy of dietary report.
DESIGN: Six-group design systematically varying sequence of self-report (FIRSSt vs 24hDR), observation of school lunch and hair sample as a bogus pipeline manipulation, with random assignment of participants. SUBJECTS/
SETTING: 138 fourth-grade students in 2 elementary schools. MAIN OUTCOME MEASURES: Accuracy of reported food consumption was measured in terms of matches, intrusions, and omissions among the FIRSSt, 24hDR, and as observed at school lunch. Students also completed self-report of performance with FIRSSt. STATISTICAL ANALYSIS PERFORMED: t tests, Pearson correlations, analysis of variance, factor analysis.
RESULTS: When compared with school lunch observation for one meal, FIRSSt attained 46% match, 24% intrusion and 30% omission rates, while a dietitian-conducted 24hDR obtained 59% match, 17% intrusion, and 24% omission rates. FIRSSt attained 60% match, 15% intrusion, and 24% omission rates against 24hDR for all meals in the previous day. There was no evidence of sequence of assessment affecting accuracy indicators, but there was a weak effect of school lunch observation on percent intrusions. Obtaining a hair sample reduced the omission rate for FIRSSt vs 24hDR and increased the match rate for 24hDR vs observation, thereby enhancing this as a bogus pipeline procedure. Children generally enjoyed completing FIRSSt. Hispanic children were more likely to report problems using FIRSSt. APPLICATIONS/
CONCLUSIONS: FIRSSt is somewhat less accurate than a dietitian-conducted 24hDR. However, this lower-cost procedure provides a promising method for assessing diet among children. Observation of consumption at school lunch may be reactive and artificially increase agreement. Obtaining a hair sample as a bogus pipeline may be a valuable technique for enhancing the accuracy of dietary assessment among children.

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Year:  2002        PMID: 11902371     DOI: 10.1016/s0002-8223(02)90088-x

Source DB:  PubMed          Journal:  J Am Diet Assoc        ISSN: 0002-8223


  59 in total

Review 1.  Quality control for interviews to obtain dietary recalls from children for research studies.

Authors:  Nicole M Shaffer; Suzanne Domel Baxter; William O Thompson; Michelle L Baglio; Caroline H Guinn; Francesca H A Frye
Journal:  J Am Diet Assoc       Date:  2004-10

2.  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

Review 3.  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

4.  A validation study concerning the effects of interview content, retention interval, and grade on children's recall accuracy for dietary intake and/or physical activity.

Authors:  Suzanne D Baxter; David B Hitchcock; Caroline H Guinn; Kate K Vaadi; Megan P Puryear; Julie A Royer; Kerry L McIver; Marsha Dowda; Russell R Pate; Dawn K Wilson
Journal:  J Acad Nutr Diet       Date:  2014-04-24       Impact factor: 4.910

5.  Twenty-four hour dietary recalls by fourth-grade children were not influenced by observations of school meals.

Authors:  Suzanne Domel Baxter; James W Hardin; Albert F Smith; Julie A Royer; Caroline H Guinn; Alyssa J Mackelprang
Journal:  J Clin Epidemiol       Date:  2009-02-20       Impact factor: 6.437

6.  Grains are similarly categorized by 8- to 13-year-old children.

Authors:  Alicia Beltran; Karina Knight Sepulveda; Kathy Watson; Tom Baranowski; Janice Baranowski; Noemi Islam; Mariam Missaghian
Journal:  J Am Diet Assoc       Date:  2008-11

7.  Diverse food items are similarly categorized by 8- to 13-year-old children.

Authors:  Alicia Beltran; Karina Knight Sepulveda; Kathy Watson; Tom Baranowski; Janice Baranowski; Noemi Islam; Mariam Missaghian
Journal:  J Nutr Educ Behav       Date:  2008 May-Jun       Impact factor: 3.045

8.  Origins of intrusions in children's dietary recalls: data from a validation study concerning retention interval and information from school food-service production records.

Authors:  Suzanne Domel Baxter; Julie A Royer; Caroline H Guinn; James W Hardin; Albert F Smith
Journal:  Public Health Nutr       Date:  2008-11-10       Impact factor: 4.022

9.  Fruit and vegetables are similarly categorised by 8-13-year-old children.

Authors:  Karina Knight Sepulveda; Alicia Beltran; Kathy Watson; Tom Baranowski; Janice Baranowski; Noemi Islam; Mariam Missaghian
Journal:  Public Health Nutr       Date:  2008-06-19       Impact factor: 4.022

10.  Sources of intrusions in children's dietary recalls from a validation study of order prompts.

Authors:  Suzanne Domel Baxter; James W Hardin; Julie A Royer; Albert F Smith; Caroline H Guinn
Journal:  J Health Psychol       Date:  2008-11
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