Improvement of Methodology for Manual Energy Intake Estimation From Passive Capture Devices

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dc.contributor.authorPan, Zhaoxing
dc.contributor.authorForjan, Dan
dc.contributor.authorMarden, Tyson
dc.contributor.authorPadia, Jonathan
dc.contributor.authorGhosh, Tonmoy
dc.contributor.authorHossain, Delwar
dc.contributor.authorThomas, J. Graham
dc.contributor.authorMcCrory, Megan A.
dc.contributor.authorSazonov, Edward
dc.contributor.authorHiggins, Janine A.
dc.contributor.otherUniversity of Colorado Anschutz Medical Campus
dc.contributor.otherUniversity of Alabama Tuscaloosa
dc.contributor.otherBrown University
dc.contributor.otherBoston University
dc.date.accessioned2023-09-28T19:36:34Z
dc.date.available2023-09-28T19:36:34Z
dc.date.issued2022
dc.description.abstractObjective: To describe best practices for manual nutritional analyses of data from passive capture wearable devices in free-living conditions. Method: 18 participants (10 female) with a mean age of 45 +/- 10 years and mean BMI of 34.2 +/- 4.6 kg/m(2) consumed usual diet for 3 days in a free-living environment while wearing an automated passive capture device. This wearable device facilitates capture of images without manual input from the user. Data from the first nine participants were used by two trained nutritionists to identify sources contributing to inter-nutritionist variance in nutritional analyses. The nutritionists implemented best practices to mitigate these sources of variance in the next nine participants. The three best practices to reduce variance in analysis of energy intake (EI) estimation were: (1) a priori standardized food selection, (2) standardized nutrient database selection, and (3) increased number of images captured around eating episodes. Results: Inter-rater repeatability for EI, using intraclass correlation coefficient (ICC), improved by 0.39 from pre-best practices to post-best practices (0.14 vs 0.85, 95% CI, respectively), Bland-Altman analysis indicated strongly improved agreement between nutritionists for limits of agreement (LOA) post-best practices. Conclusion: Significant improvement of ICC and LOA for estimation of EI following implementation of best practices demonstrates that these practices improve the reproducibility of dietary analysis from passive capture device images in free-living environments.en_US
dc.format.mediumelectronic
dc.format.mimetypeapplication/pdf
dc.identifier.citationPan, Z., Forjan, D., Marden, T., Padia, J., Ghosh, T., Hossain, D., Thomas, J. G., McCrory, M. A., Sazonov, E., & Higgins, J. A. (2022). Improvement of Methodology for Manual Energy Intake Estimation From Passive Capture Devices. In Frontiers in Nutrition (Vol. 9). Frontiers Media SA. https://doi.org/10.3389/fnut.2022.877775
dc.identifier.doi10.3389/fnut.2022.877775
dc.identifier.orcidhttps://orcid.org/0000-0003-1460-2267
dc.identifier.urihttps://ir.ua.edu/handle/123456789/11594
dc.languageEnglish
dc.language.isoen_US
dc.publisherFrontiers
dc.rights.licenseAttribution 4.0 International (CC BY 4.0)
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectpassive device
dc.subjectenergy intake
dc.subjectdietary analysis
dc.subjectfood record
dc.subjectphotograph
dc.subjectbest practices
dc.subjectreproducibility
dc.subjectPHOTOGRAPHIC FOOD RECORDS
dc.subjectDIETARY ASSESSMENT
dc.subjectUSDA FOOD
dc.subjectVALIDITY
dc.subjectHEALTH
dc.subjectFEASIBILITY
dc.subjectRECALL
dc.subjectCAMERA
dc.subjectNutrition & Dietetics
dc.titleImprovement of Methodology for Manual Energy Intake Estimation From Passive Capture Devicesen_US
dc.typeArticle
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