Abstract
Objective
To design a replicable training protocol for visual estimation of fruit and vegetable
(FV) intake of kindergarten through second-grade students through digital photography
of lunch trays that results in reliable data for FV served and consumed.
Methods
Protocol development through literature and researcher input was followed by 3 laboratory-based
trainings of 3 trainees. Lunchroom data collection sessions were done at 2 elementary
schools for kindergarten through second-graders. Intraclass correlation coefficients
(ICCs) were used.
Results
By training 3, ICC was substantial for amount of FV served and consumed (0.86 and
0.95, respectively; P < .05). The ICC was moderate for percentage of fruits consumed (0.67; P = .06). In-school estimates for ICCs were all significant for amounts served at school
1 and percentage of FV consumed at both schools.
Conclusions and Implications
The protocol resulted in reliable estimation of combined FV served and consumed using
digital photography. The ability to estimate FV intake accurately will benefit intervention
development and evaluation.
Key Words
To read this article in full you will need to make a payment
Purchase one-time access:
Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online accessSNEB Member Login
SNEB Members, full access to the journal is a member benefit. Login via the SNEB Website to access all journal content and features.Subscribe:
Subscribe to Journal of Nutrition Education and BehaviorAlready a print subscriber? Claim online access
Already an online subscriber? Sign in
Register: Create an account
Institutional Access: Sign in to ScienceDirect
References
- Fresh Fruit and Vegetable Program participation in elementary schools in the United States and availability of fruits and vegetables in school lunch meals.J Acad Nutr Diet. 2012; 112: 921-926
- New school meal regulations increase fruit consumption and do not increase total plate waste.Child Obes. 2015; 11: 242-247
- Food choice, plate waste and nutrient intake of elementary- and middle-school students participating in the US National School Lunch Program.Public Health Nutr. 2014; 17: 1255-1263
- Differential improvements in student fruit and vegetable selection and consumption in response to the new National School Lunch Program regulations: a pilot study.J Acad Nutr Diet. 2015; 115: 743-750
- Determination of plate waste in primary school lunches by weighing and visual estimation methods: a validation study.Waste Manag. 2014; 34: 1362-1368
- Comparison of visual estimation methods for regular and modified textures: real-time vs digital imaging.J Acad Nutr Diet. 2012; 112: 1636-1641
- Validation of the school lunch recall questionnaire to capture school lunch intake of third- to fifth-grade students.J Am Diet Assoc. 2011; 111: 419-424
- Validity and feasibility of a digital diet estimation method for use with preschool children: a pilot study.J Nutr Educ Behav. 2012; 44: 618-623
- Children as respondents in survey research: cognitive development and response quality 1.Bull Méthodologie Sociol. 2000; 66: 60-75
- Factors related to the accuracy of self-reported dietary intake of children aged 6 to 12 years elicited with interviews: a systematic review.J Acad Nutr Diet. 2016; 116: 76-114
- Feasibility and use of the mobile food record for capturing eating occasions among children ages 3–10 years in Guam.Nutrients. 2015; 7: 4403-4415
- Comparison of digital photography to weighed and visual estimation of portion sizes.J Am Diet Assoc. 2003; 103: 1139-1145
- Reliability and accuracy of real-time visualization techniques for measuring school cafeteria tray waste: validating the quarter-waste method.J Acad Nutr Diet. 2014; 114: 470-474
- Reliability and validity of digital imaging as a measure of schoolchildren’s fruit and vegetable consumption.J Acad Nutr Diet. 2014; 114: 1359-1366
- Digital photography: a new method for estimating food intake in cafeteria settings.Eat Weight Disord. 2004; 9: 24-28
- Measuring food intake: An overview.in: Allison D. Handbook of Assessment Measures for Eating Behaviors and Weight-Related Problems. Sage Publishing, Thousand Oaks, CA1995: 215-240
- New technology in dietary assessment: a review of digital methods in improving food record accuracy.Proc Nutr Soc. 2013; 72: 70-76
- Estimation of food portion sizes: effectiveness of training.J Am Diet Assoc. 1988; 88: 817-821
- Computing inter-rater reliability and its variance in the presence of high agreement.Br J Math Stat Psychol. 2008; 61: 29-48
- Salad bars and fruit and vegetable consumption in elementary schools: a plate waste study.J Am Diet Assoc. 2005; 105: 1789-1792
- Increasing child fruit and vegetable intake: findings from the US Department of Agriculture Fresh Fruit and Vegetable Program.J Acad Nutr Diet. 2015; 115: 1283-1290
- G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences.Behav Res Methods. 2007; 39: 175-191
The OrganWise Guys Homepage. https://organwiseguys.com/. Accessed September 9, 2016.
- Development of a method to observe preschoolers’ packed lunches in early care and education centers.J Acad Nutr Diet. 2015; 115: 1249-1259
- Accuracy and reliability of direct observations of home-packed lunches in elementary schools by trained nutrition students.J Acad Nutr Diet. 2012; 112: 1603-1607
- Accuracy of estimating food intake by observation.J Am Diet Assoc. 1994; 94: 1273-1277
- Better reporting of interventions: template for intervention description and replication (TIDieR) checklist and guide.BMJ. 2014; 348: g1687
Article info
Publication history
Published online: February 28, 2017
Accepted:
January 4,
2017
Footnotes
Conflict of Interest Disclosure: The authors' conflict of interest disclosures can be found online with this article on www.jneb.org.
Identification
Copyright
©2017 Society for Nutrition Education and Behavior. Published by Elsevier, Inc. All rights reserved.
ScienceDirect
Access this article on ScienceDirectLinked Article
- ErratumJournal of Nutrition Education and BehaviorVol. 49Issue 7
- PreviewThe April 2017 issue of the Journal of Nutrition Education and Behavior carried a Research Brief titled Design and Evaluation of a Training Protocol for a Photographic Method of Visual Estimation of Fruit and Vegetable Intake among Kindergarten Through Second-Grade Students (JNEB 2017;49:346-351. http://dx.doi.org/10.1016/j.jneb.2017.01.004 ). The training protocol discussed in the article should have been included as supplementary material with an in-text citation that reads “(see Supplemental Material)” inserted at the end of the first sentence of the Methods section.
- Full-Text
- Preview
- CorrigendumJournal of Nutrition Education and BehaviorVol. 50Issue 6
- PreviewThe April 2017 issue of the Journal of Nutrition Education and Behavior carried a Research Brief titled Design and Evaluation of a Training Protocol for a Photographic Method of Visual Estimation of Fruit and Vegetable Intake among Kindergarten Through Second-Grade Students (JNEB 2017;49:346-351. http://dx.doi.org/10.1016/j.jneb.2017.01.004 ). In the Results section, the sentence “In training 1, for the measurement variable of amount of FV served (in cups), the ICC was 0.43 (fair) (P < .05); for the percentage of FV consumed, the ICC was 0.89 (substantial) (P < .05)” is also incorrect.
- Full-Text
- Preview