Literature DB >> 12913673

Evaluation of dietary assessment instruments in adolescents.

Helaine R H Rockett1, Catherine S Berkey, Graham A Colditz.   

Abstract

PURPOSE OF REVIEW: The obesity epidemic, the increasing occurrence of adult diseases in childhood, and the growing awareness of a connection between adult diseases and the diet of children and adolescents have led to increased interest in what our youth are eating. Designing an instrument to evaluate adolescents' eating habits requires addressing not only the typical requirements for a diet assessment tool but also the unique concerns of the adolescent population. We reviewed current dietary instruments for adolescents. RECENT
FINDINGS: New nutrient assessment methods fall into one of two groups: instruments limited to a specific nutrient/food or those designed for a specific population. The new tools range from Food Intake Recording Software System, a computer program to assist individuals under 10 years of age in reporting their diets, to short food-frequency questionnaires specifically designed to assess fruits and vegetables or fat. Another new instrument uses picture cards to evaluate the entire diet of low-income, overweight African-Americans. The Youth Adolescent Questionnaire, although not a new tool, has been evaluated in new populations (multi-ethnic, multi-income, and multi-education) and with doubly labeled water.
SUMMARY: A limited number of dietary assessment instruments that are specifically designed for adolescents have been found to be reproducible and validated. There is a demand for a short, easily administered, inexpensive, accurate instrument that can be used in a broad range of adolescent subpopulations. Future tools will need to meet these criteria and evaluate the 'new' nutrients, foods, and other factors that lead our youth to eat the foods they do.

Entities:  

Mesh:

Year:  2003        PMID: 12913673     DOI: 10.1097/00075197-200309000-00009

Source DB:  PubMed          Journal:  Curr Opin Clin Nutr Metab Care        ISSN: 1363-1950            Impact factor:   4.294


  32 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.  Fruit and vegetable intake is associated with frequency of breakfast, lunch and evening meal: cross-sectional study of 11-, 13-, and 15-year-olds.

Authors:  Trine Pagh Pedersen; Charlotte Meilstrup; Bjørn E Holstein; Mette Rasmussen
Journal:  Int J Behav Nutr Phys Act       Date:  2012-02-06       Impact factor: 6.457

3.  Main meal frequency measures in the Health Behaviour in School-aged Children study: agreement with 7-day 24-h recalls.

Authors:  Trine Pagh Pedersen; Bjørn E Holstein; Bjarne Laursen; Mette Rasmussen
Journal:  Int J Public Health       Date:  2015-09-18       Impact factor: 3.380

4.  Healthy youth places: a randomized controlled trial to determine the effectiveness of facilitating adult and youth leaders to promote physical activity and fruit and vegetable consumption in middle schools.

Authors:  David A Dzewaltowski; Paul A Estabrooks; Greg Welk; Jennie Hill; George Milliken; Kostas Karteroliotis; Judy A Johnston
Journal:  Health Educ Behav       Date:  2008-05-10

5.  Breakfast Eating Pattern and Ready-to-Eat Cereals Consumption among Schoolchildren in Kuala Lumpur.

Authors:  Hui-Chin Koo; Siti Nurain Abdul Jalil; Abd Talib Ruzita
Journal:  Malays J Med Sci       Date:  2015 Jan-Feb

6.  Nutritional problems, overhydration and the association with quality of life in elderly dialysis patients.

Authors:  Inger Karin Lægreid; Asta Bye; Knut Aasarød; Marit Jordhøy
Journal:  Int Urol Nephrol       Date:  2012-09-22       Impact factor: 2.370

Review 7.  A Systematic Review of Methods to Assess Children's Diets in the School Context.

Authors:  Claire N Tugault-Lafleur; Jennifer L Black; Susan I Barr
Journal:  Adv Nutr       Date:  2017-01-17       Impact factor: 8.701

8.  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

9.  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

10.  Fourth-grade children's dietary recall accuracy is influenced by retention interval (target period and interview time).

Authors:  Suzanne Domel Baxter; James W Hardin; Caroline H Guinn; Julie A Royer; Alyssa J Mackelprang; Albert F Smith
Journal:  J Am Diet Assoc       Date:  2009-05
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