Electronic Dietary Intake Assessment (e-DIA): Comparison of a Mobile Phone Digital Entry App for Dietary Data Collection With 24-Hour Dietary Recalls

BackgroundThe electronic Dietary Intake Assessment (e-DIA), a digital entry food record mobile phone app, was developed to measure energy and nutrient intake prospectively. This can be used in monitoring population intakes or intervention studies in young adults....

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Main Authors: Rangan, Anna M, O'Connor, Sarah, Giannelli, Valentina, Yap, Megan LH, Tang, Lie Ming, Roy, Rajshri, Louie, Jimmy Chun Yu, Hebden, Lana, Kay, Judy, Allman-Farinelli, Margaret
Format: Article
Language:English
Published: JMIR Publications 2015-10-01
Series:JMIR mHealth and uHealth
Online Access:http://mhealth.jmir.org/2015/4/e98/
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Summary:BackgroundThe electronic Dietary Intake Assessment (e-DIA), a digital entry food record mobile phone app, was developed to measure energy and nutrient intake prospectively. This can be used in monitoring population intakes or intervention studies in young adults. ObjectiveThe objective was to assess the relative validity of e-DIA as a dietary assessment tool for energy and nutrient intakes using the 24-hour dietary recall as a reference method. MethodsUniversity students aged 19 to 24 years recorded their food and drink intake on the e-DIA for five days consecutively and completed 24-hour dietary recalls on three random days during this 5-day study period. Mean differences in energy, macro-, and micronutrient intakes were evaluated between the methods using paired t tests or Wilcoxon signed-rank tests, and correlation coefficients were calculated on unadjusted, energy-adjusted, and deattenuated values. Bland-Altman plots and cross-classification into quartiles were used to assess agreement between the two methods. ResultsEighty participants completed the study (38% male). No significant differences were found between the two methods for mean intakes of energy or nutrients. Deattenuated correlation coefficients ranged from 0.55 to 0.79 (mean 0.68). Bland-Altman plots showed wide limits of agreement between the methods but without obvious bias. Cross-classification into same or adjacent quartiles ranged from 75% to 93% (mean 85%). ConclusionsThe e-DIA shows potential as a dietary intake assessment tool at a group level with good ranking agreement for energy and all nutrients.
ISSN:2291-5222