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

TitleElectronic Dietary Intake Assessment (e-DIA): Comparison of a Mobile Phone Digital Entry App for Dietary Data Collection With 24-Hour Dietary Recalls
Authors
KeywordsDietary assessment
Mobile phone app
Validity
Young adult
Issue Date2015
PublisherJMIR Publications Inc.
Citation
JMIR mHealth and uHealth, 2015, v. 3 n. 4, p. e98 How to Cite?
AbstractBACKGROUND: The 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. OBJECTIVE: The 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. METHODS: University 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. RESULTS: Eighty 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%). CONCLUSIONS: The e-DIA shows potential as a dietary intake assessment tool at a group level with good ranking agreement for energy and all nutrients.
Persistent Identifierhttp://hdl.handle.net/10722/225471
ISSN
2021 Impact Factor: 7.076
2020 SCImago Journal Rankings: 1.446
PubMed Central ID
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorRangan, AM-
dc.contributor.authorO'Connor, S-
dc.contributor.authorGiannelli, V-
dc.contributor.authorYap, ML-
dc.contributor.authorTang, LM-
dc.contributor.authorRoy, R-
dc.contributor.authorLouie, CYJ-
dc.contributor.authorHebden, L-
dc.contributor.authorKay, J-
dc.contributor.authorAllman-Farinelli, M-
dc.date.accessioned2016-05-17T09:13:08Z-
dc.date.available2016-05-17T09:13:08Z-
dc.date.issued2015-
dc.identifier.citationJMIR mHealth and uHealth, 2015, v. 3 n. 4, p. e98-
dc.identifier.issn1438-8871-
dc.identifier.urihttp://hdl.handle.net/10722/225471-
dc.description.abstractBACKGROUND: The 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. OBJECTIVE: The 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. METHODS: University 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. RESULTS: Eighty 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%). CONCLUSIONS: The e-DIA shows potential as a dietary intake assessment tool at a group level with good ranking agreement for energy and all nutrients.-
dc.languageeng-
dc.publisherJMIR Publications Inc.-
dc.relation.ispartofJMIR mHealth and uHealth-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectDietary assessment-
dc.subjectMobile phone app-
dc.subjectValidity-
dc.subjectYoung adult-
dc.titleElectronic Dietary Intake Assessment (e-DIA): Comparison of a Mobile Phone Digital Entry App for Dietary Data Collection With 24-Hour Dietary Recalls-
dc.typeArticle-
dc.identifier.emailLouie, CYJ: h0115648@graduate.hku.hk-
dc.identifier.authorityLouie, CYJ=rp02118-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.2196/mhealth.4613-
dc.identifier.pmid26508282-
dc.identifier.pmcidPMC4704908-
dc.identifier.scopuseid_2-s2.0-84979254001-
dc.identifier.hkuros274261-
dc.identifier.isiWOS:000365767100001-
dc.publisher.placeCanada-
dc.identifier.issnl1438-8871-

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