Evidence map›Paper›PMID 25604640›Full record

Trial reportJournal of medical Internet research2015

Validity of electronic diet recording nutrient estimates compared to dietitian analysis of diet records: randomized controlled trial.

Susan K Raatz, Angela J Scheett, LuAnn K Johnson, Lisa Jahns

Registry-linked trialAbstract readComparative StudyRandomized Controlled TrialValidation Study
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

NCT01183520 nacompletednot on this map

Effect of High Omega-3 Fish Intake on Lipid Peroxidation

TypeinterventionalSponsorUSDA Grand Forks Human Nutrition Research CenterRan2010 to 2012Enrolled30ConditionsOmega-3 Fatty Acids, Lipid PeroxidationArmsOmega-3 fish oil provided by salmon
3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Review
  4. Article
  5. 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 · 2023
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Evaluation of a smartphone food diary application using objectively measured energy expenditure.The international journal of behavioral nutrition and physical activity · 2017
    Article
  12. Review
  13. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Susan K RaatzUnited States Department of Agriculture, Agricultural Research Service, Grand Forks Human Nutrition Research Center, Grand Forks, ND, United States. susan.raatz@ars.usda.gov.ORCID http://orcid.org/0000-0001-8965-8850

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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).

Indexed as

Diet RecordsFood AnalysisNutritionistsAdultComputers, HandheldCross-Over StudiesDietEnergy IntakeFemaleHumansMaleMicronutrientsSurveys and QuestionnairesUnited StatesMicronutrientsdiet recordselectronic datanutrition assessment

Identifiers

PMID25604640
PMCPMC4319087

What OpenQuestion holds

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.