Literature DB >> 28096128

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

Claire N Tugault-Lafleur1, Jennifer L Black2, Susan I Barr2.   

Abstract

To evaluate the impact of school-based nutrition interventions, accurate and reliable methods are needed to assess what children eat at school. The primary objective of this study was to systematically review methodological evidence on the relative accuracy and reliability of dietary assessment methods used in the school context. The secondary objective was to assess the frequency of methods and analytical approaches used in studies reporting in-school dietary outcomes. Three health databases were searched for full-text English-language studies. Twenty-two methodological studies were reviewed. For school meal recalls, the majority of studies (n = 8 of 12) reported poor accuracy when accuracy was measured by using frequencies of misreported foods. However, when energy report rates were used as a measure of accuracy, studies suggested that children were able to accurately report energy intake as a group. Results regarding the accuracy of food-frequency questionnaires (FFQs) and food records (FRs) were promising but limited to a single study each. Meal observations offered consistently good interrater reliability across all studies reviewed (n = 11). Studies reporting in-school dietary outcomes (n = 47) used a broad range of methods, but the most frequently used methods included weighed FRs (n = 12), school meal recalls (n = 10), meal observations by trained raters (n = 8), and estimated FRs (n = 7). The range of dietary components was greater among studies relying on school meal recalls and FRs than among studies using FFQs. Overall, few studies have measured the accuracy of dietary assessment methods in the school context. Understanding the methodological characteristics associated with dietary instruments is vital for improving the quality of the evidence used to inform and evaluate the impact of school-based nutrition policies and programs.
© 2017 American Society for Nutrition.

Entities:  

Keywords:  children; dietary assessment; schools; systematic review; validation studies

Mesh:

Year:  2017        PMID: 28096128      PMCID: PMC5227974          DOI: 10.3945/an.116.013144

Source DB:  PubMed          Journal:  Adv Nutr        ISSN: 2161-8313            Impact factor:   8.701


  99 in total

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Review 2.  Reducing obesity and related chronic disease risk in children and youth: a synthesis of evidence with 'best practice' recommendations.

Authors:  M A T Flynn; D A McNeil; B Maloff; D Mutasingwa; M Wu; C Ford; S C Tough
Journal:  Obes Rev       Date:  2006-02       Impact factor: 9.213

3.  Evaluation of the Healthy Eating Index-2005.

Authors:  Patricia M Guenther; Jill Reedy; Susan M Krebs-Smith; Bryce B Reeve
Journal:  J Am Diet Assoc       Date:  2008-11

4.  Food choice, plate waste and nutrient intake of elementary- and middle-school students participating in the US National School Lunch Program.

Authors:  Stephanie L Smith; Leslie Cunningham-Sabo
Journal:  Public Health Nutr       Date:  2013-07-18       Impact factor: 4.022

Review 5.  New technology in dietary assessment: a review of digital methods in improving food record accuracy.

Authors:  Phyllis J Stumbo
Journal:  Proc Nutr Soc       Date:  2013-02       Impact factor: 6.297

6.  Reliability and validity of digital imaging as a measure of schoolchildren's fruit and vegetable consumption.

Authors:  Jennifer C Taylor; Bethany A Yon; Rachel K Johnson
Journal:  J Acad Nutr Diet       Date:  2014-04-19       Impact factor: 4.910

7.  Shortening the retention interval of 24-hour dietary recalls increases fourth-grade children's accuracy for reporting energy and macronutrient intake at school meals.

Authors:  Suzanne Domel Baxter; Caroline H Guinn; Julie A Royer; James W Hardin; Albert F Smith
Journal:  J Am Diet Assoc       Date:  2010-08

8.  Development and validation of a beverage and snack questionnaire for use in evaluation of school nutrition policies.

Authors:  Marian L Neuhouser; Sonya Lilley; Anne Lund; Donna B Johnson
Journal:  J Am Diet Assoc       Date:  2009-09

9.  Food and drink consumption at school lunchtime: the impact of lunch type and contribution to overall intake in British 9-10-year-old children.

Authors:  Flo Harrison; Amy Jennings; Andy Jones; Ailsa Welch; Esther van Sluijs; Simon Griffin; Aedín Cassidy
Journal:  Public Health Nutr       Date:  2011-09-22       Impact factor: 4.022

Review 10.  Short tools to assess young children's dietary intake: a systematic review focusing on application to dietary index research.

Authors:  Lucinda K Bell; Rebecca K Golley; Anthea M Magarey
Journal:  J Obes       Date:  2013-09-26
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  18 in total

1.  Reliability and Validity of Digital Imagery Methodology for Measuring Starting Portions and Plate Waste from School Salad Bars.

Authors:  Melanie K Bean; Hollie A Raynor; Laura M Thornton; Alexandra Sova; Mary Dunne Stewart; Suzanne E Mazzeo
Journal:  J Acad Nutr Diet       Date:  2018-04-12       Impact factor: 4.910

2.  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

3.  Reply to MM Graziose.

Authors:  Claire N Tugault-Lafleur; Jennifer L Black; Susan I Barr
Journal:  Adv Nutr       Date:  2017-07-14       Impact factor: 8.701

4.  Teachers as Healthy Beverage Role Models: Relationship of Student and Teacher Beverage Choices in Elementary Schools.

Authors:  Meredith C Laguna; Amelie A Hecht; Julian Ponce; Tyson Jue; Claire D Brindis; Anisha I Patel
Journal:  J Community Health       Date:  2019-08-12

5.  Children's School-Day Nutrient Intake in Ontario: A Cross-Sectional Observational Study Comparing Students' Packed Lunches from Two School Schedules.

Authors:  Lisa J Neilson; Lesley A Macaskill; Jonathan M H Luk; Navreeti Sharma; Marina I Salvadori; Jamie A Seabrook; Paula D N Dworatzek
Journal:  Nutrients       Date:  2022-05-08       Impact factor: 6.706

6.  Measuring food provision in Western Australian long day care (LDC) services: a weighed food record method/protocol at a service level.

Authors:  Ros Sambell; Ruth Wallace; Leesa Costello; Johnny Lo; Amanda Devine
Journal:  Nutr J       Date:  2019-07-16       Impact factor: 3.271

7.  Factors Related to Fruit and Vegetable Consumption at Lunch Among Elementary Students: A Scoping Review.

Authors:  Matthew M Graziose; Ian Yi Han Ang
Journal:  Prev Chronic Dis       Date:  2018-05-10       Impact factor: 2.830

8.  Development of the PEA-PODS (Perceptions of the Environment and Patterns of Diet at School) Survey for Students.

Authors:  Hannah G Lane; Rebecca Driessen; Katherine Campbell; Rachel Deitch; Lindsey Turner; Elizabeth A Parker; Erin R Hager
Journal:  Prev Chronic Dis       Date:  2018-06-28       Impact factor: 2.830

9.  The Effect of Supportive Implementation of Healthier Canteen Guidelines on Changes in Dutch School Canteens and Student Purchase Behaviour.

Authors:  Irma J Evenhuis; Suzanne M Jacobs; Ellis L Vyth; Lydian Veldhuis; Michiel R de Boer; Jacob C Seidell; Carry M Renders
Journal:  Nutrients       Date:  2020-08-12       Impact factor: 5.717

10.  Validation of 24-h dietary recall for estimating nutrient intakes and adequacy in adolescents in Burkina Faso.

Authors:  Joanne E Arsenault; Mourad Moursi; Deanna K Olney; Elodie Becquey; Rasmané Ganaba
Journal:  Matern Child Nutr       Date:  2020-04-26       Impact factor: 3.092

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