Trial reportJournal of medical Internet research2015
Validity of electronic diet recording nutrient estimates compared to dietitian analysis of diet records: randomized controlled trial.
Trial report in Journal of medical Internet research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01183520 (Effect of High Omega-3 Fish Intake on Lipid Peroxidation), which is not on this map. Cited by 13 papers.
What it found
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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.
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.
Effect of High Omega-3 Fish Intake on Lipid Peroxidation
Who cites it
13 citing papers in PubMed.
- Effects of dietary recommendations for reducing free sugar intakes, on free sugar intakes, dietary profiles and anthropometry: a randomised controlled trial.The British journal of nutrition · 2025Trial
- Validity and Usability of a Smartphone Image-Based Dietary Assessment App Compared to 3-Day Food Diaries in Assessing Dietary Intake Among Canadian Adults: Randomized Controlled Trial.JMIR mHealth and uHealth · 2020Trial
- Digital applications for diet monitoring, planning, and precision nutrition for citizens and professionals: a state of the art.Nutrition reviews · 2025Review
- Liking for Sweet Taste, Sweet Food Intakes, and Sugar Intakes.Nutrients · 2024Article
- Nutritional Epidemiology and Dietary Assessment for Patients With Kidney Disease: A Primer.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2023Review
- Article
- Validation of a Smartphone Application for the Assessment of Dietary Compliance in an Intermittent Fasting Trial.Nutrients · 2022Article
- Popular Nutrition-Related Mobile Apps: An Agreement Assessment Against a UK Reference Method.JMIR mHealth and uHealth · 2019Article
- A Dietary Assessment App for Hospitalized Patients at Nutritional Risk: Development and Evaluation of the MyFood App.JMIR mHealth and uHealth · 2018Article
- Smokers report lower intake of key nutrients than nonsmokers, yet both fall short of meeting recommended intakes.Nutrition research (New York, N.Y.) · 2017Article
- Evaluation of a smartphone food diary application using objectively measured energy expenditure.The international journal of behavioral nutrition and physical activity · 2017Article
- Novel Online or Mobile Methods to Assess Eating Patterns.Current nutrition reports · 2017Review
- Analysis of energy metabolism in humans: A review of methodologies.Molecular metabolism · 2016Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDietary intake assessment with diet records (DR) is a standard research and practice tool in nutrition. Manual entry and analysis of DR is time-consuming and expensive. New electronic tools for diet entry by clients and research participants may reduce the cost and effort of nutrient intake estimation.
objectiveTo determine the validity of electronic diet recording, we compared responses to 3-day DR kept by Tap & Track software for the Apple iPod Touch and records kept on the Nutrihand website to DR coded and analyzed by a research dietitian into a customized US Department of Agriculture (USDA) nutrient analysis program, entitled GRAND (Grand Forks Research Analysis of Nutrient Data).
methodsAdult participants (n=19) enrolled in a crossover-designed clinical trial. During each of two washout periods, participants kept a written 3-day DR. In addition, they were randomly assigned to enter their DR in a Web-based dietary analysis program (Nutrihand) or a handheld electronic device (Tap & Track). They completed an additional 3-day DR and the alternate electronic diet recording methods during the second washout. Entries resulted in 228 daily diet records or 12 for each of 19 participants. Means of nutrient intake were calculated for each method. Concordance of the intake estimates were determined by Bland-Altman plots. Coefficients of determination (R(2)) were calculated for each comparison to assess the strength of the linear relationship between methods.
resultsNo significant differences were observed between the mean nutrient values for energy, carbohydrate, protein, fat, saturated fatty acids, total fiber, or sodium between the recorded DR analyzed in GRAND and either Nutrihand or Tap & Track, or for total sugars comparing GRAND and Tap & Track. Reported values for total sugars were significantly reduced (P<.05) comparing Nutrihand to GRAND. Coefficients of determination (R(2)) for Nutrihand and Tap & Track compared to DR entries into GRAND, respectively, were energy .56, .01; carbohydrate .58, .08; total fiber .65, .37; sugar .78, .41; protein .44, .03; fat .36, .03; saturated fatty acids .23, .03; sodium .20, .00; and for Nutrihand only for cholesterol .88; vitamin A .02; vitamin C .37; calcium .05; and iron .77. Bland-Altman analysis demonstrates high variability in individual responses for both electronic capture programs with higher 95% limits of agreement for dietary intake recorded on Tap & Track.
conclusionsIn comparison to dietitian-entered 3-day DR, electronic methods resulted in no significant difference in mean nutrient estimates but exhibited larger variability, particularly the Tap & Track program. However, electronic DR provided mean estimates of energy, macronutrients, and some micronutrients, which approximated those of the dietitian-analyzed DR and may be appropriate for dietary monitoring of groups. Electronic diet assessment methods have the potential to reduce the cost and burden of DR analysis for nutrition research and clinical practice.
trial registrationClinicaltrials.gov NCT01183520; http://clinicaltrials.gov/ct2/show/NCT01183520 (Archived by WebCite at http://www.webcitation.org/6VSdYznKX).
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