Literature DB >> 34767972

A Qualitative Analysis of the Remote Food Photography Method and the Automated Self-Administered 24-hour Dietary Assessment Tool for Assessing Children's Food Intake Reported by Parent Proxy.

Traci A Bekelman1, Susan L Johnson2, Rachel I Steinberg3, Corby K Martin4, Katherine A Sauder5, Sophie Luckett-Cole6, Deborah H Glueck7, Daniel S Hsia8, Dana Dabelea5.   

Abstract

BACKGROUND: Accuracy and participant burden are two key considerations in the selection of a dietary assessment tool for assessing children's full-day dietary intake.
OBJECTIVE: The aim of this study was to identify barriers experienced by parents and burden when using two technology-based measures of dietary intake to report their child's intake: the Remote Food Photography Method (RFPM) and the Automated Self-Administered 24-hour Dietary Assessment Tool (ASA24).
DESIGN: Qualitative, semistructured, focus groups were conducted with parents who served as proxy reporters of their child's dietary intake using the two different dietary assessment methods (ie, RFPM and ASA24) 1 week apart. PARTICIPANTS/
SETTING: This study was conducted in 2019 and included 32 parents of children aged 7 to 8 years in Colorado and Louisiana. MAIN OUTCOME MEASURES: Barriers adhering to the protocol and burden with the RFPM and ASA24. QUALITATIVE ANALYSES: Qualitative content analysis and Atlas.ti software were used to analyze and interpret focus group data.
RESULTS: For the RFPM, parents described missing photos due to unobserved intake, forgetting to capture images, disruption of mealtimes, and child embarrassment when meals were photographed at school. For the ASA24, parents described the time commitment as the main source of burden and the need to expand the food database to include additional ethnic foods and restaurant items. The main strengths were ease of use for the RFPM and the consolidated workload for the ASA24.
CONCLUSIONS: The barriers experienced by parents and burden differed by method, highlighting the importance of considering the unique characteristics of each assessment tool when designing a pediatric dietary assessment study and interpreting findings.
Copyright © 2022 Academy of Nutrition and Dietetics. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Dietary assessment; Dietary recall; Parent; Participant burden; Qualitative research

Mesh:

Year:  2021        PMID: 34767972      PMCID: PMC9038614          DOI: 10.1016/j.jand.2021.11.001

Source DB:  PubMed          Journal:  J Acad Nutr Diet        ISSN: 2212-2672            Impact factor:   5.234


  53 in total

Review 1.  Evaluation of dietary assessment instruments against doubly labeled water, a biomarker of habitual energy intake.

Authors:  J Trabulsi; D A Schoeller
Journal:  Am J Physiol Endocrinol Metab       Date:  2001-11       Impact factor: 4.310

2.  Digital photography: a new method for estimating food intake in cafeteria settings.

Authors:  D A Williamson; H R Allen; P Davis Martin; A Alfonso; B Gerald; A Hunt
Journal:  Eat Weight Disord       Date:  2004-03       Impact factor: 4.652

Review 3.  New mobile methods for dietary assessment: review of image-assisted and image-based dietary assessment methods.

Authors:  C J Boushey; M Spoden; F M Zhu; E J Delp; D A Kerr
Journal:  Proc Nutr Soc       Date:  2016-12-12       Impact factor: 6.297

4.  Differences in Diet Quality and Snack Intakes Among Non-Hispanic White and Mexican American Adolescents from Different Acculturation Groups.

Authors:  Traci A Bekelman; Susan L Johnson; Christopher A Taylor
Journal:  J Racial Ethn Health Disparities       Date:  2020-03-06

5.  Validity of the Remote Food Photography Method (RFPM) for estimating energy and nutrient intake in near real-time.

Authors:  Corby K Martin; John B Correa; Hongmei Han; H Raymond Allen; Jennifer C Rood; Catherine M Champagne; Bahadir K Gunturk; George A Bray
Journal:  Obesity (Silver Spring)       Date:  2011-12-01       Impact factor: 5.002

6.  Assessing dinner meals offered at home among preschoolers from low-income families with the Remote Food Photography Method.

Authors:  Traci A Bekelman; Laura L Bellows; Morgan L McCloskey; Corby K Martin; Susan L Johnson
Journal:  Pediatr Obes       Date:  2019-07-25       Impact factor: 4.000

7.  A Validation Study of the Automated Self-Administered 24-Hour Dietary Recall for Children, 2014 Version, at School Lunch.

Authors:  Caroline F Krehbiel; George J DuPaul; Jessica A Hoffman
Journal:  J Acad Nutr Diet       Date:  2016-12-21       Impact factor: 4.910

8.  What is an adequate sample size? Operationalising data saturation for theory-based interview studies.

Authors:  Jill J Francis; Marie Johnston; Clare Robertson; Liz Glidewell; Vikki Entwistle; Martin P Eccles; Jeremy M Grimshaw
Journal:  Psychol Health       Date:  2010-12

9.  A New Measure of Research Participant Burden: Brief Report.

Authors:  Jennifer H Lingler; Karen L Schmidt; Amanda L Gentry; Lu Hu; Lauren A Terhorst
Journal:  J Empir Res Hum Res Ethics       Date:  2014-10       Impact factor: 1.742

10.  Preliminary Feasibility and Acceptability of the Remote Food Photography Method for Assessing Nutrition in Young Children with Type 1 Diabetes.

Authors:  Meredith H Rose; Randi Streisand; Laura Aronow; Carrie Tully; Corby K Martin; Eleanor Mackey
Journal:  Clin Pract Pediatr Psychol       Date:  2018-05-24
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