Evidence map›Paper›PMID 34085613›Full record

ArticleThe British journal of nutrition2022

A comparison of the remote food photography method and the automated self-administered 24-h dietary assessment tool for measuring full-day dietary intake among school-age children.

Traci A Bekelman, Corby K Martin, Susan L Johnson, Deborah H Glueck, Katherine A Sauder, Kylie K Harrall, Rachel I Steinberg, Daniel S Hsia, Dana Dabelea, program collaborators for Environmental influences on Child Health Outcomes (ECHO)

Open access · greenAbstract read
In one paragraph

Article in The British journal of nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.6field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 13 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Traci A BekelmanLifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Colorado School of Public Health, Aurora, CO80045, USA.
Corby K MartinPennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, USA.
Susan L JohnsonDepartment of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Deborah H GlueckLifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Colorado School of Public Health, Aurora, CO80045, USA.
Katherine A SauderLifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Colorado School of Public Health, Aurora, CO80045, USA.
Kylie K HarrallLifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Colorado School of Public Health, Aurora, CO80045, USA.
Rachel I SteinbergLifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Colorado School of Public Health, Aurora, CO80045, USA.
Daniel S HsiaPennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, USA.ORCID 0000-0003-2832-3429
Dana DabeleaLifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Colorado School of Public Health, Aurora, CO80045, USA.
program collaborators for Environmental influences on Child Health Outcomes (ECHO)
Colorado School of Public Health · USPennington Biomedical Research Center · USUniversity of Colorado Anschutz Medical Campus · US

Funding

Project-005U2COD023375 · OD · DUKE UNIVERSITY · PI Linda S Adair, Phillip Brian Smith · 2016 to 2026
$215.9M
ECHODAC (Environmental Influences on Child Health Outcomes Data Analysis Center)U24OD023382 · OD · JOHNS HOPKINS UNIVERSITY · PI Diane J Catellier, LISA P JACOBSON · 2016 to 2026
$148.4M
Tracking & Evaluation CoreU54GM104940 · NIGMS · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI Peter Todd Katzmarzyk · 2012 to 2026
$69.1M
The ECHO Measurement Core: A Framework and Resource for Assessing Environmental Exposure and Child HealthU24OD023319 · OD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Courtney K Blackwell, RICHARD GERSHON · 2016 to 2026
$43.7M
UNIV OF NORTH CAROLINA CLINICAL NUTRITION RESEARCH UNITP30DK056350 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Venkata Saroja Voruganti · 1999 to 2026
$31.6M
Research BaseP30DK072476 · NIDDK · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI ROBERT A KESTERSON · 2005 to 2026
$26.5M
The Early Life Exposome and Childhood Health - The Colorado Healthy Start 3 Cohort StudyUH3OD023248 · OD · UNIVERSITY OF COLORADO DENVER · PI Traci Allison Bekelman, Dana Dabelea · 2018 to 2026
$14.8M
NIDDK National Research Service Award (NRSA) T32 Diversity Administrative SupplementT32DK007658 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI Kristen Elizabeth Boyle, Ihuoma U Eneli · 1991 to 2026
$6.0M
Louisiana Pediatric Clinical Trials NetworkUG1OD024959 · OD · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI John C Carlson, Amanda E. Staiano · 2016 to 2026
$4.1M
Methods and Software for Lifecourse Epidemiology Data and Sample Size AnalysisR01GM121081 · NIGMS · UNIVERSITY OF COLORADO DENVER · PI DABELEA, DANA, GLUECK, DEBORAH HELEN · 2016 to 2019
$2.6M
NIDDK NIH HHS P30 DK056350NIDDK NIH HHS P30 DK072476NIDDK NIH HHS T32 DK007658NIGMS NIH HHS R01 GM121081NIGMS NIH HHS U54 GM104940NIH HHS U24 OD023319NIH HHS U24 OD023382NIH HHS U2C OD023375NIH HHS UG1 OD024959NIH HHS UH3 OD023248
6 · The paper itself

Abstract

The limitations of self-report measures of dietary intake are well-known. Novel, technology-based measures of dietary intake may provide a more accurate, less burdensome alternative to existing tools. The first objective of this study was to compare participant burden for two technology-based measures of dietary intake among school-age children: the Automated-Self-Administered 24-hour Dietary Assessment Tool-2018 (ASA24-2018) and the Remote Food Photography Method (RFPM). The second objective was to compare reported energy intake for each method to the Estimated Energy Requirement for each child, as a benchmark for actual intake. Forty parent-child dyads participated in two, 3-d dietary assessments: a parent proxy-reported version of the ASA24 and the RFPM. A parent survey was subsequently administered to compare satisfaction, ease of use and burden with each method. A linear mixed model examined differences in total daily energy intake between assessments, and between each assessment method and the Estimated Energy Requirement (EER). Reported energy intake was 379 kcal higher with the ASA24 than the RFPM (P = 0·0002). Reported energy intake with the ASA24 was 231 kcal higher than the EER (P = 0·008). Reported energy intake with the RFPM did not differ significantly from the EER (difference in predicted means = -148 kcal, P = 0·09). Median satisfaction and ease of use scores were five out of six for both methods. A higher proportion of parents reported that the ASA24 was more time-consuming than the RFPM (74·4 % v. 25·6 %, P = 0·002). Utilisation of both methods is warranted given their high satisfaction among parents.

Indexed as

Mental RecallNutrition AssessmentDietDiet RecordsEatingEnergy IntakeHumansPhotographyReproducibility of ResultsDietary assessmentEnvironmental influences on Child Health OutcomesMisreportingParticipant burdenUnobserved intake

Identifiers

PMID34085613
PMCPMC8642460
OpenAlexW3165092807

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.