Literature DB >> 18561864

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

Karina Knight Sepulveda1, Alicia Beltran, Kathy Watson, Tom Baranowski, Janice Baranowski, Noemi Islam, Mariam Missaghian.   

Abstract

OBJECTIVE: This exploratory study assessed how 8-13-year-old children categorised and labelled fruit and vegetables (FaV), and how these were influenced by child characteristics, to specify second-level categories in a hierarchical food search system for a computerised 24 h dietary recall (hdr).
DESIGN: Two sets of food cards, sixty-seven for fruit (F) and sixty-four for vegetables (V), with pictures and names of FaV from ten professionally defined food categories were sorted, separately, by each child into piles of similar foods. Demographic data, BMI and 6-n-propylthiouracil (PROP) taster status were obtained.
SETTING: Participants attended the Children's Nutrition Research Center in the summer of 2006.
SUBJECTS: In all, 152 8-13-year-old children, predominantly English-speaking, of whom sixteen were predominantly Spanish-speaking.
RESULTS: Children created an average of 8.5 (5.3) piles with 7.9 (11.4) cards per pile for the F, and an average of 10.1 (4.8) piles with 6.2 (7.9) cards per pile for the V. No substantial differences in Robinson clustering were detected across subcategories for each of the demographic characteristics, BMI or PROP sensitivity. Children provided clusters names that were mostly 'Taxonomic - Professional' labels, such as salads, berries, peppers, for both F (51.8 %) and V (52.1 %).
CONCLUSIONS: These categories should be tested to assess their ability to facilitate search of FaV items in a computerised 24 hdr for children in this age group.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18561864      PMCID: PMC2761075          DOI: 10.1017/S1368980008002516

Source DB:  PubMed          Journal:  Public Health Nutr        ISSN: 1368-9800            Impact factor:   4.022


  34 in total

1.  Food for thought: cross-classification and category organization in a complex real-world domain.

Authors:  B H Ross; G L Murphy
Journal:  Cogn Psychol       Date:  1999-06       Impact factor: 3.468

2.  Measuring fruit and vegetable consumption: providing serving size information doubles estimated percent eating five per day.

Authors:  Lillian Bensley; Juliet Van Eenwyk; Barbara A Bruemmer
Journal:  J Am Diet Assoc       Date:  2003-11

3.  Complexity and cognition: a meta-theoretical analysis of the mind and brain as a topological dynamical system.

Authors:  Agustín Ibáñez
Journal:  Nonlinear Dynamics Psychol Life Sci       Date:  2007-01

4.  Formative research of a quick list for an automated self-administered 24-hour dietary recall.

Authors:  Amy F Subar; Frances E Thompson; Nancy Potischman; Barbara H Forsyth; Richard Buday; Debbie Richards; Suzanne McNutt; Stephen G Hull; Patricia M Guenther; Arthur Schatzkin; Tom Baranowski
Journal:  J Am Diet Assoc       Date:  2007-06

5.  Food spending behaviors and perceptions are associated with fruit and vegetable intake among parents and their preadolescent children.

Authors:  Christina Mushi-Brunt; Debra Haire-Joshu; Michael Elliott
Journal:  J Nutr Educ Behav       Date:  2007 Jan-Feb       Impact factor: 3.045

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

Authors:  Tom Baranowski; Noemi Islam; Janice Baranowski; Karen W Cullen; Dawnell Myres; Tara Marsh; Moor Carl de
Journal:  J Am Diet Assoc       Date:  2002-03

7.  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

Review 8.  Vegetables, fruit, and cancer prevention: a review.

Authors:  K A Steinmetz; J D Potter
Journal:  J Am Diet Assoc       Date:  1996-10

9.  A paper screening test to assess genetic taste sensitivity to 6-n-propylthiouracil.

Authors:  Liqiang Zhao; Sarah V Kirkmeyer; Beverly J Tepper
Journal:  Physiol Behav       Date:  2003-04

10.  Inherited taste sensitivity to 6-n-propylthiouracil in diet and body weight in children.

Authors:  Kathleen L Keller; Beverly J Tepper
Journal:  Obes Res       Date:  2004-06
View more
  9 in total

1.  Advances and Controversies in Diet and Physical Activity Measurement in Youth.

Authors:  Donna Spruijt-Metz; Cheng K Fred Wen; Brooke M Bell; Stephen Intille; Jeannie S Huang; Tom Baranowski
Journal:  Am J Prev Med       Date:  2018-08-19       Impact factor: 5.043

2.  Food Intake Recording Software System, version 4 (FIRSSt4): a self-completed 24-h dietary recall for children.

Authors:  T Baranowski; N Islam; D Douglass; H Dadabhoy; A Beltran; J Baranowski; D Thompson; K W Cullen; A F Subar
Journal:  J Hum Nutr Diet       Date:  2012-05-23       Impact factor: 3.089

3.  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

4.  The Automated Self-Administered 24-Hour Dietary Recall for Children, 2012 Version, for Youth Aged 9 to 11 Years: A Validation Study.

Authors:  Cassandra S Diep; Melanie Hingle; Tzu-An Chen; Hafza R Dadabhoy; Alicia Beltran; Janice Baranowski; Amy F Subar; Tom Baranowski
Journal:  J Acad Nutr Diet       Date:  2015-04-14       Impact factor: 4.910

5.  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

6.  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

7.  Need for technological innovation in dietary assessment.

Authors:  Frances E Thompson; Amy F Subar; Catherine M Loria; Jill L Reedy; Tom Baranowski
Journal:  J Am Diet Assoc       Date:  2010-01

8.  Tests of the accuracy and speed of categorizing foods into child vs professional categories using two methods of browsing with children.

Authors:  Tom Baranowski; Alicia Beltran; Shelby Martin; Kathleen B Watson; Noemi Islam; Shay Robertson; Stephanie Berno; Hafza Dadabhoy; Debbe Thompson; Karen Cullen; Richard Buday; Amy F Subar; Janice Baranowski
Journal:  J Am Diet Assoc       Date:  2010-01

9.  Parents' and Children's Categorization of Candy are Similar: A Card Sort Protocol.

Authors:  Jennifer S Savage; Holly A Harris; Julia A Bleser; Brandi Y Rollins
Journal:  Nutrients       Date:  2019-10-15       Impact factor: 5.717

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.