Published on 20.01.15 in Vol 17, No 1 (2015): January
Works citing "Validity of Electronic Diet Recording Nutrient Estimates Compared to Dietitian Analysis of Diet Records: Randomized Controlled Trial"
According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.3744):
(note that this is only a small subset of citations)
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Timon CM, van den Barg R, Blain RJ, Kehoe L, Evans K, Walton J, Flynn A, Gibney ER. A review of the design and validation of web- and computer-based 24-h dietary recall tools. Nutrition Research Reviews 2016;29(2):268
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Pendergast FJ, Leech RM, McNaughton SA. Novel Online or Mobile Methods to Assess Eating Patterns. Current Nutrition Reports 2017;6(3):212
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Pendergast FJ, Ridgers ND, Worsley A, McNaughton SA. Evaluation of a smartphone food diary application using objectively measured energy expenditure. International Journal of Behavioral Nutrition and Physical Activity 2017;14(1)
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Drummond JE, Kraft D. A Checklist to Assess Adequacy of Vitamin D Intake. Topics in Clinical Nutrition 2020;35(3):191
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Ji Y, Plourde H, Bouzo V, Kilgour RD, Cohen TR. 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 2020;8(9):e16953
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Fallaize R, Zenun Franco R, Pasang J, Hwang F, Lovegrove JA. Popular Nutrition-Related Mobile Apps: An Agreement Assessment Against a UK Reference Method. JMIR mHealth and uHealth 2019;7(2):e9838
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Paulsen MM, Hagen MLL, Frøyen MH, Foss-Pedersen RJ, Bergsager D, Tangvik RJ, Andersen LF. A Dietary Assessment App for Hospitalized Patients at Nutritional Risk: Development and Evaluation of the MyFood App. JMIR mHealth and uHealth 2018;6(9):e175
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Lancaster R, Radd‐Vagenas S, Fiatarone Singh M, Noble Y, Daniel K, Mavros Y, Sachdev PS, Lautenschlager N, Cox K, Brodaty H, O'Leary F, Flood VM. Electronic food records among middle‐aged and older people: A comparison of self‐reported and dietitian‐assisted information. Nutrition & Dietetics 2021;78(2):145
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Lam YY, Ravussin E. Analysis of energy metabolism in humans: A review of methodologies. Molecular Metabolism 2016;5(11):1057
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Cho J, Kim S. Personal and social predictors of use and non-use of fitness/diet app: Application of Random Forest algorithm. Telematics and Informatics 2020;55:101301
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Raatz SK, Jahns L, Johnson LK, Scheett A, Carriquiry A, Lemieux A, Nakajima M, al'Absi M. Smokers report lower intake of key nutrients than nonsmokers, yet both fall short of meeting recommended intakes. Nutrition Research 2017;45:30
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Kim J, Kim H, Lee J, Ko H, Jung S, Kim HJ, Wie G, Kim Y. Comparison of Energy and Macronutrients Between a Mobile Application and a Conventional Dietary Assessment Method in Korea. Journal of the Academy of Nutrition and Dietetics 2022;122(11):2127
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Sullivan VK, Rebholz CM. Nutritional Epidemiology and Dietary Assessment for Patients With Kidney Disease: A Primer. American Journal of Kidney Diseases 2023;81(6):717
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Baum Martinez I, Peters B, Schwarz J, Schuppelius B, Steckhan N, Koppold-Liebscher DA, Michalsen A, Pivovarova-Ramich O. Validation of a Smartphone Application for the Assessment of Dietary Compliance in an Intermittent Fasting Trial. Nutrients 2022;14(18):3697
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Murai U, Tajima R, Matsumoto M, Sato Y, Horie S, Fujiwara A, Koshida E, Okada E, Sumikura T, Yokoyama T, Ishikawa M, Kurotani K, Takimoto H. Validation of Dietary Intake Estimated by Web-Based Dietary Assessment Methods and Usability Using Dietary Records or 24-h Dietary Recalls: A Scoping Review. Nutrients 2023;15(8):1816
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Sharif I, Badrasawi M, Zidan S, Zghier H, Abu Sunaina R, Abu Mazer T. Creation, Validation, and Use of Photo-Based Smartphone Application for Dietary Fiber Counting Among University Students. Topics in Clinical Nutrition 2024;39(2):157
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.3744):
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Xu X, Hou L, Guo Z, Wang J, Li J. Big Data – BigData 2018. 2018. Chapter 30:360
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