Evidence map›Paper›PMID 34924357›Full record

ArticleJMIR research protocols2021

Accuracy and Cost-effectiveness of Technology-Assisted Dietary Assessment Comparing the Automated Self-administered Dietary Assessment Tool, Intake24, and an Image-Assisted Mobile Food Record 24-Hour Recall Relative to Observed Intake: Protocol for a Randomized Crossover Feeding Study.

Clare Whitton, Janelle D Healy, Clare E Collins, Barbara Mullan, Megan E Rollo, Satvinder S Dhaliwal, Richard Norman, Carol J Boushey, Edward J Delp, Fengqing Zhu and 8 more

Abstract read
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In one paragraph

Article in JMIR research protocols, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Observational
  5. Article
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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

18 authors.

Clare WhittonSchool of Population Health, Faculty of Health Sciences, Curtin University, Perth, Australia.ORCID https://orcid.org/0000-0003-1991-2432
Janelle D HealySchool of Population Health, Faculty of Health Sciences, Curtin University, Perth, Australia.ORCID https://orcid.org/0000-0002-5030-6919
Clare E CollinsSchool of Health Sciences, College of Health, Medicine and Wellbeing, University of Newcastle, Newcastle, Australia.ORCID https://orcid.org/0000-0003-3298-756X
Barbara MullanEnable Institute, Faculty of Health Sciences, Curtin University, Perth, Australia.ORCID https://orcid.org/0000-0002-0177-8899
Megan E RolloSchool of Health Sciences, College of Health, Medicine and Wellbeing, University of Newcastle, Newcastle, Australia.ORCID https://orcid.org/0000-0003-1303-2063
Satvinder S DhaliwalCurtin Health Innovation Research Institute, Faculty of Health Sciences, Curtin University, Perth, Australia.ORCID https://orcid.org/0000-0002-4476-1042
Richard NormanSchool of Population Health, Faculty of Health Sciences, Curtin University, Perth, Australia.ORCID https://orcid.org/0000-0002-3112-3893
Carol J BousheyEpidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, United States.ORCID https://orcid.org/0000-0001-7517-787X
Edward J DelpSchool of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, United States.ORCID https://orcid.org/0000-0002-2909-7323
Fengqing ZhuSchool of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, United States.ORCID https://orcid.org/0000-0002-3863-3220
Tracy A McCaffreyDepartment of Nutrition, Dietetics and Food, Monash University, Melbourne, Australia.ORCID https://orcid.org/0000-0001-9699-3083
Sharon I KirkpatrickSchool of Public Health Sciences, University of Waterloo, Waterloo, ON, Canada.ORCID https://orcid.org/0000-0001-9896-5975
Paul AtyeoHealth Section, Health and Disability Branch, Australian Bureau of Statistics, Canberra, Australia.ORCID https://orcid.org/0000-0002-4093-5172
Syed Aqif MukhtarSchool of Population Health, Faculty of Health Sciences, Curtin University, Perth, Australia.ORCID https://orcid.org/0000-0001-5228-244X
Janine L WrightSchool of Population Health, Faculty of Health Sciences, Curtin University, Perth, Australia.ORCID https://orcid.org/0000-0003-0442-1382
César Ramos-GarcíaSchool of Population Health, Faculty of Health Sciences, Curtin University, Perth, Australia.ORCID https://orcid.org/0000-0002-3697-4013
Christina M PollardSchool of Population Health, Faculty of Health Sciences, Curtin University, Perth, Australia.ORCID https://orcid.org/0000-0003-4261-4601
Deborah A KerrSchool of Population Health, Faculty of Health Sciences, Curtin University, Perth, Australia.ORCID https://orcid.org/0000-0002-1094-1299

Funding

Improving Dietary Assessment Methods Using the Cell Phone and Digital ImagingU01CA130784 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI BOUSHEY, CAROL J · 2007 to 2010
$2.1M
Improving Diet Assessment in AdolescentsR01DK073711 · NIDDK · PURDUE UNIVERSITY · PI BOUSHEY, CAROL J · 2007 to 2009
$904k
Improving Diet Assessment in AdolescentsR56DK073711 · NIDDK · PURDUE UNIVERSITY · PI EICHER-MILLER, HEATHER · 2010 to 2010
$562k
NCI NIH HHS U01 CA130784NIDDK NIH HHS R01 DK073711NIDDK NIH HHS R56 DK073711
6 · The paper itself

Abstract

backgroundThe assessment of dietary intake underpins population nutrition surveillance and nutritional epidemiology and is essential to inform effective public health policies and programs. Technological advances in dietary assessment that use images and automated methods have the potential to improve accuracy, respondent burden, and cost; however, they need to be evaluated to inform large-scale use.

objectiveThe aim of this study is to compare the accuracy, acceptability, and cost-effectiveness of 3 technology-assisted 24-hour dietary recall (24HR) methods relative to observed intake across 3 meals.

methodsUsing a controlled feeding study design, 24HR data collected using 3 methods will be obtained for comparison with observed intake. A total of 150 healthy adults, aged 18 to 70 years, will be recruited and will complete web-based demographic and psychosocial questionnaires and cognitive tests. Participants will attend a university study center on 3 separate days to consume breakfast, lunch, and dinner, with unobtrusive documentation of the foods and beverages consumed and their amounts. Following each feeding day, participants will complete a 24HR process using 1 of 3 methods: the Automated Self-Administered Dietary Assessment Tool, Intake24, or the Image-Assisted mobile Food Record 24-Hour Recall. The sequence of the 3 methods will be randomized, with each participant exposed to each method approximately 1 week apart. Acceptability and the preferred 24HR method will be assessed using a questionnaire. Estimates of energy, nutrient, and food group intake and portion sizes from each 24HR method will be compared with the observed intake for each day. Linear mixed models will be used, with 24HR method and method order as fixed effects, to assess differences in the 24HR methods. Reporting bias will be assessed by examining the ratios of reported 24HR intake to observed intake. Food and beverage omission and intrusion rates will be calculated, and differences by 24HR method will be assessed using chi-square tests. Psychosocial, demographic, and cognitive factors associated with energy misestimation will be evaluated using chi-square tests and multivariable logistic regression. The financial costs, time costs, and cost-effectiveness of each 24HR method will be assessed and compared using repeated measures analysis of variance tests.

resultsParticipant recruitment commenced in March 2021 and is planned to be completed by the end of 2021.

conclusionsThis protocol outlines the methodology of a study that will evaluate the accuracy, acceptability, and cost-effectiveness of 3 technology-enabled dietary assessment methods. This will inform the selection of dietary assessment methods in future studies on nutrition surveillance and epidemiology.

trial registrationAustralian New Zealand Clinical Trials Registry ACTRN12621000209897; https://tinyurl.com/2p9fpf2s. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/32891.

Indexed as

24-hour recallacceptabilityaccuracyadultAutomated Self-Administered Dietary Assessment Toolcontrolled feedingcost-effectivenessdietary measurement errordiet surveysenergy intakeimage-assisted dietary assessmentIntake24mobile food recordmobile phonemobile technologyself-reportvalidation

Identifiers

PMID34924357
PMCPMC8726032

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.