Literature DB >> 28527951

Digital food photography technology improves efficiency and feasibility of dietary intake assessments in large populations eating ad libitum in collective dining facilities.

Holly L McClung1, Catherine M Champagne2, H Raymond Allen2, Susan M McGraw3, Andrew J Young3, Scott J Montain3, Aaron P Crombie4.   

Abstract

BACKGROUND: Accurate assessment of dietary intake continues to challenge researchers, especially in field, or non-laboratory settings.
OBJECTIVE: In this study, digital food photography (DFP) methodology was used to assess nutritional intake (NI) of Soldiers participating in the US Army's Ranger Selection and Assessment Program (RASP).
METHODS: During this high-intensity six-week course, Soldiers complete simulated operational missions, perform various military tasks, and importantly, eating time is severely limited. Therefore, this study provided an opportunity to evaluate the utility of DFP methods for accurate assessment of energy balance in conditions where consumption of large numbers of subjects must be completed in a very short periods of time (≤20 min). NI of 131 male, enlisted Soldiers (21 ± 4 years, 178±7 cm, and 78±8 kg) enrolled in the RASP course was assessed in their garrison dining facility using DFP utilizing visual estimation of pre- and post-meal photos of participant meals concurrently with photos of weighed, standardized portions. Total daily energy expenditure (TDEE) was assessed using doubly-labeled water (2H218O) in a sub-group of 19 volunteers.
RESULTS: During the study, data loss (i.e., missing meal photos) was less than 5% per meal, and during the visual estimation process discrepancies in food identification averaged less than 10% per meal, while approximately a third of serving size estimations required a third party adjudication prior to finalization and calculation NI.
CONCLUSIONS: We conclude that the use of DFP allows an adequately reliable approach for quantifying NI in real-world scenarios involving large numbers of participants who must be assessed very rapidly, and researchers must have a small footprint. Published by Elsevier Ltd.

Entities:  

Keywords:  Dietary assessment; Dietary intake; Digital food photography; Energy balance; Nutrient intake

Mesh:

Substances:

Year:  2017        PMID: 28527951     DOI: 10.1016/j.appet.2017.05.025

Source DB:  PubMed          Journal:  Appetite        ISSN: 0195-6663            Impact factor:   3.868


  7 in total

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Journal:  Adv Nutr       Date:  2022-08-01       Impact factor: 11.567

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3.  How Does the University Food Environment Impact Student Dietary Behaviors? A Systematic Review.

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Journal:  Front Nutr       Date:  2022-04-08

4.  Comparison of energy intake assessed by image-assisted food records to doubly labelled water in adolescents with intellectual and developmental disabilities: a feasibility study.

Authors:  L T Ptomey; E A Willis; K Reitmeier; M L Dreyer Gillette; J R Sherman; D K Sullivan
Journal:  J Intellect Disabil Res       Date:  2021-01-14

5.  A Cross-Sectional Reproducibility Study of a Standard Camera Sensor Using Artificial Intelligence to Assess Food Items: The FoodIntech Project.

Authors:  Virginie Van Wymelbeke-Delannoy; Charles Juhel; Hugo Bole; Amadou-Khalilou Sow; Charline Guyot; Farah Belbaghdadi; Olivier Brousse; Michel Paindavoine
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6.  Prediction equation for estimating total daily energy requirements of special operations personnel.

Authors:  N D Barringer; S M Pasiakos; H L McClung; A P Crombie; L M Margolis
Journal:  J Int Soc Sports Nutr       Date:  2018-04-05       Impact factor: 5.150

7.  Dietary Assessment Methods in Military and Veteran Populations: A Scoping Review.

Authors:  Rebecca A Collins; Bradley Baker; Daisy H Coyle; Megan E Rollo; Tracy L Burrows
Journal:  Nutrients       Date:  2020-03-14       Impact factor: 5.717

  7 in total

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