TY - JOUR
T1 - 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
T2 - Protocol for a Randomized Crossover Feeding Study
AU - Whitton, Clare
AU - Healy, Janelle D.
AU - Collins, Clare E.
AU - Mullan, Barbara
AU - Rollo, Megan E.
AU - Dhaliwal, Satvinder S.
AU - Norman, Richard
AU - Boushey, Carol J.
AU - Delp, Edward J.
AU - Zhu, Fengqing
AU - McCaffrey, Tracy A.
AU - Kirkpatrick, Sharon I.
AU - Atyeo, Paul
AU - Mukhtar, Syed Aqif
AU - Wright, Janine L.
AU - Ramos-García, César
AU - Pollard, Christina M.
AU - Kerr, Deborah A.
N1 - Funding Information:
This project is funded by an Australian Research Council Discovery grant project entitled Accuracy and cost-effectiveness of technology-assisted dietary assessment. The Image-Assisted mobile Food Record 24-Hour Recall app is funded by National Institutes of Health-National Cancer Institute (1U01CA130784-01) and National Institutes of Health-National Institute of Diabetes and Digestive and Kidney Diseases (1R01-DK073711-01A1 and 2R56DK073711-04). The term mobile food record is a registered trademark. Intake24 was originally developed for use with participants aged 11-24 years by Newcastle University, United Kingdom, with funding from Food Standards Scotland. The source code is available under the terms of the Apache License [93]. The Automated Self-Administered Dietary Assessment Tool version 2016, is developed by the National Cancer Institute, Bethesda, Maryland, United States. The Automated Self-Administered Dietary Assessment Tool is a registered trademark of United States Department of Health and Human Services. The sponsors had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; and in the decision to publish the results. CW and JDH are supported by the Australian Government Research Training Program Scholarship.
Funding Information:
This project is funded by an Australian Research Council Discovery grant project entitled Accuracy and cost-effectiveness of technology-assisted dietary assessment. The Image-Assisted mobile Food Record 24-Hour Recall app is funded by National Institutes of Health-National Cancer Institute (1U01CA130784-01) and National Institutes of Health- National Institute of Diabetes and Digestive and Kidney Diseases (1R01-DK073711-01A1 and 2R56DK073711-04). The term mobile food record is a registered trademark. Intake24 was originally developed for use with participants aged 11-24 years by Newcastle University, United Kingdom, with funding from Food Standards Scotland. The source code is available under the terms of the Apache License [93]. The Automated Self-Administered Dietary Assessment Tool version 2016, is developed by the National Cancer Institute, Bethesda, Maryland, United States. The Automated Self-Administered Dietary Assessment Tool is a registered trademark of United States Department of Health and Human Services. The sponsors had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; and in the decision to publish the results. CW and JDH are supported by the Australian Government Research Training Program Scholarship.
Publisher Copyright:
© 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, Tracy A McCaffrey, Sharon I Kirkpatrick, Paul Atyeo, Syed Aqif Mukhtar, Janine L Wright, César Ramos-García, Christina M Pollard, Deborah A Kerr. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 16.12.2021. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Research Protocols, is properly cited. The complete bibliographic information, a link to the original publication on https://www.researchprotocols.org, as well as this copyright and license information must be included.
PY - 2021/12
Y1 - 2021/12
N2 - Background: The 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. Objective: The 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. Methods: Using 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. Results: Participant recruitment commenced in March 2021 and is planned to be completed by the end of 2021. Conclusions: This 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.
AB - Background: The 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. Objective: The 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. Methods: Using 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. Results: Participant recruitment commenced in March 2021 and is planned to be completed by the end of 2021. Conclusions: This 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.
KW - 24-hour recall
KW - Acceptability
KW - Accuracy
KW - Adult
KW - Automated self-administered dietary assessment tool
KW - Controlled feeding
KW - Cost-effectiveness
KW - Diet surveys
KW - Dietary measurement error
KW - Energy intake
KW - Image-assisted dietary assessment
KW - Intake24
KW - Mobile food record
KW - Mobile phone
KW - Mobile technology
KW - Self-report
KW - Validation
UR - https://www.scopus.com/pages/publications/85121990019
U2 - 10.2196/32891
DO - 10.2196/32891
M3 - Article
C2 - 34924357
AN - SCOPUS:85121990019
SN - 1929-0748
VL - 10
JO - JMIR Research Protocols
JF - JMIR Research Protocols
IS - 12
M1 - e32891
ER -
SDG 3 Good Health and Well-being