Literature DB >> 28946823

Comparative Study of a New Dietary Screener to Assess Food Groups of Concern in Children.

Rachel Bleiweiss-Sande1, Sarah Kranz1, Peter Bakun1, Lindsay Tanskey1, Catherine Wright1, Jennifer Sacheck1.   

Abstract

BACKGROUND: Although there are several valid and reliable dietary screeners to measure child intake patterns, there is a paucity of brief assessment tools targeting under- and overconsumed foods.
OBJECTIVE: To compare the Fueling Learning through Exercise study (FLEX) dietary questionnaire, a screener designed to assess consumption patterns in third to fifth graders, to a validated dietary assessment tool.
METHODS: The FLEX dietary questionnaire was developed to assess fruit, vegetable, snack, and beverage consumption and was compared to the Block Kids Food Screener (BKFS). Correlations were analyzed using Pearson correlation coefficient. Agreement was assessed using Bland-Altman plots.
RESULTS: The sample (n = 63) had mean age of 9.9 years (SD 0.7). Most participants were non-Hispanic white (70%) and eligible for free/reduced price lunch (57%). Correlations between food group categories were significant for all groups ( P < .05) except fruits ( r = 0.51) and sugar-sweetened beverages (SSBs) ( r = 0.21). We found moderate-to-strong correlations between reported vegetable, salty snack, sweet snack, total beverage, milk, and fruit juice consumption (0.62, 0.59, 0.69, 0.47, 0.48, and 0.46, respectively). The FLEX screener reported systematically higher mean servings per day (0.24-1.1) compared to the BKFS (0.05-0.51).
CONCLUSION: Based on these correlations, the FLEX dietary questionnaire performs similarly to a validated tool in assessing intake of under- and overconsumed food groups in a diverse third to fifth grade population. Overall serving size discrepancies are likely due to more relevant food items on the FLEX questionnaire and a more child-friendly format. This study highlights the need to update older diet screeners to reflect current child consumption patterns.

Entities:  

Keywords:  children; dietary patterns; food frequency questionnaires; validation studies

Mesh:

Year:  2017        PMID: 28946823      PMCID: PMC6834348          DOI: 10.1177/0379572117733400

Source DB:  PubMed          Journal:  Food Nutr Bull        ISSN: 0379-5721            Impact factor:   2.069


  23 in total

1.  Recency affects reporting accuracy of children's dietary recalls.

Authors:  Suzanne Domel Baxter; Albert F Smith; Mark S Litaker; Caroline H Guinn; Nicole M Shaffer; Michelle L Baglio; Francesca H A Frye
Journal:  Ann Epidemiol       Date:  2004-07       Impact factor: 3.797

Review 2.  Development of the SoFAS (solid fats and added sugars) concept: the 2010 Dietary Guidelines for Americans.

Authors:  Theresa A Nicklas; Carol E O'Neil
Journal:  Adv Nutr       Date:  2015-05-15       Impact factor: 8.701

3.  Children's dietary recalls: the salience of entree and liking for foods on accuracy and order of reporting.

Authors:  S D Baxter; W O Thompson; H C Davis; M S Litaker
Journal:  Nutrition       Date:  1999 Nov-Dec       Impact factor: 4.008

4.  How children remember what they have eaten.

Authors:  S B Domel; W O Thompson; T Baranowski; A F Smith
Journal:  J Am Diet Assoc       Date:  1994-11

Review 5.  A systematic review of the validity of dietary assessment methods in children when compared with the method of doubly labeled water.

Authors:  Tracy L Burrows; Rebecca J Martin; Clare E Collins
Journal:  J Am Diet Assoc       Date:  2010-10

6.  Validity and reliability of a behavior-based food coding system for measuring fruit, 100% fruit juice, vegetable, and sweetened beverage consumption: results from the Girls Health Enrichment Multisite Studies.

Authors:  Karen W Cullen; John H Himes; Tom Baranowski; Janet Pettit; Mary Stevens; Deborah Leachman Slawson; Eva Obarzanek; Maureen Murtaugh; Donna Matheson; Wanjie Sun; James Rochon
Journal:  Prev Med       Date:  2004-05       Impact factor: 4.018

7.  What's in children's backpacks: foods brought from home.

Authors:  Kristie L Hubbard; Aviva Must; Misha Eliasziw; Sara C Folta; Jeanne Goldberg
Journal:  J Acad Nutr Diet       Date:  2014-07-16       Impact factor: 4.910

8.  Relative reliability and validity of the Block Kids Questionnaire among youth aged 10 to 17 years.

Authors:  Karen Weber Cullen; Kathy Watson; Issa Zakeri
Journal:  J Am Diet Assoc       Date:  2008-05

9.  Trends in food and beverage sources among US children and adolescents: 1989-2010.

Authors:  Meghan M Slining; Kevin C Mathias; Barry M Popkin
Journal:  J Acad Nutr Diet       Date:  2013-08-02       Impact factor: 4.910

10.  Study protocol: the Fueling Learning through Exercise (FLEX) study - a randomized controlled trial of the impact of school-based physical activity programs on children's physical activity, cognitive function, and academic achievement.

Authors:  Catherine M Wright; Paula J Duquesnay; Stephanie Anzman-Frasca; Virginia R Chomitz; Kenneth Chui; Christina D Economos; Elizabeth G Langevin; Miriam E Nelson; Jennifer M Sacheck
Journal:  BMC Public Health       Date:  2016-10-13       Impact factor: 3.295

View more
  3 in total

1.  Accelerated Summer Weight Gain in a Low-Income, Ethnically Diverse Sample of Elementary School Children in Massachusetts.

Authors:  Lindsay A Tanskey; Jeanne P Goldberg; Kenneth Chui; Aviva Must; Jennifer M Sacheck
Journal:  Child Obes       Date:  2019-03-19       Impact factor: 2.992

2.  Associations between Food Group Intake, Cognition, and Academic Achievement in Elementary Schoolchildren.

Authors:  Rachel Bleiweiss-Sande; Kenneth Chui; Catherine Wright; Sarah Amin; Stephanie Anzman-Frasca; Jennifer M Sacheck
Journal:  Nutrients       Date:  2019-11-09       Impact factor: 5.717

3.  Comparison of Discretionary Food and Drink Intake Based on a Short Web-Based Sugar-Rich Food Screener and a Validated Web-Based 7-Day Dietary Record.

Authors:  Amanda Cramer-Nielsen; Sidse Marie Sidenius Bestle; Anja Pia Biltoft-Jensen; Jeppe Matthiessen; Anne Dahl Lassen; Bodil Just Christensen; Sarah Jegsmark Gibbons; Ellen Trolle
Journal:  Nutrients       Date:  2022-03-11       Impact factor: 5.717

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.