Literature DB >> 30184514

The use of a food logging app in the naturalistic setting fails to provide accurate measurements of nutrients and poses usability challenges.

Juliana Chen1, William Berkman2, Manal Bardouh2, Ching Yan Kammy Ng2, Margaret Allman-Farinelli2.   

Abstract

OBJECTIVE: MyFitnessPal is the most popular commercial nutrition weight loss app. The aim of this study was to assess how individuals in naturalistic settings performed when recording their dietary intake in MyFitnessPal, and their usability experiences with the app.
METHODS: Adults not regularly using MyFitnessPal (N = 43) logged their dietary intake in the app for 4 consecutive days and completed two researcher-administered 24-h recalls collected based on the Automated Multiple Pass Method. Food items from 24-h recalls were coded into food categories and foods omitted from corresponding MyFitnessPal records were calculated. Comparative validity of energy and macronutrient outputs from MyFitnessPal were compared against 24-h recalls using paired t tests. Inductive thematic analysis was applied to app usability responses.
RESULTS: Individuals omitted a mean of 18% (SD, 15) of food items, particularly energy-dense and nutrient-poor foods from MyFitnessPal records. Relative to 2-day 24-h recalls, 4-day MyFitnessPal records significantly underestimated mean energy intake by 1863 kJ (SD, 2952 kJ, P = 0.0002) and intake of all macronutrients. Although 80% of participants rated MyFitnessPal as easy to use, only 20% said they would continue use, citing challenges in matching foods, estimating portion size, and logging being time-consuming, as affecting motivation for long-term use.
CONCLUSIONS: Large discrepancies in nutrient measurements from MyFitnessPal indicate suboptimal performance with using the app to record intake, particularly given food omissions in records and difficulties encountered with app usability relating to the food database and input of portion sizes. Stand-alone use of MyFitnessPal is therefore cautioned and guidance from dietitians is necessary to support use of nutrition apps in collecting accurate dietary data.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Comparative validity; Dietary assessment; Dietary record; Dietetics; Nutrition; Smartphone; mHealth

Mesh:

Year:  2018        PMID: 30184514     DOI: 10.1016/j.nut.2018.05.003

Source DB:  PubMed          Journal:  Nutrition        ISSN: 0899-9007            Impact factor:   4.008


  20 in total

1.  Electronic Health Record-Based Recruitment and Retention and Mobile Health App Usage: Multisite Cohort Study.

Authors:  Janelle W Coughlin; Lindsay M Martin; Di Zhao; Attia Goheer; Thomas B Woolf; Katherine Holzhauer; Harold P Lehmann; Michelle R Lent; Kathleen M McTigue; Jeanne M Clark; Wendy L Bennett
Journal:  J Med Internet Res       Date:  2022-06-10       Impact factor: 7.076

2.  Remotely Delivered Behavioral Weight Loss Intervention Using an Ad Libitum Plant-Based Diet: Pilot Acceptability, Feasibility, and Preliminary Results.

Authors:  Christina Chwyl; Nicholas Wright; Gabrielle M Turner-McGrievy; Meghan L Butryn; Evan M Forman
Journal:  JMIR Form Res       Date:  2022-06-23

Review 3.  15 Smartphone Apps for Older Adults to Use While in Isolation During the COVID-19 Pandemic.

Authors:  Swechya Banskota; Margaret Healy; Elizabeth M Goldberg
Journal:  West J Emerg Med       Date:  2020-04-14

4.  A Tool to Measure Young Adults' Food Intake: Design and Development of an Australian Database of Foods for the Eat and Track Smartphone App.

Authors:  Lyndal Wellard-Cole; Melisa Potter; Jisu Joseph Jung; Juliana Chen; Judy Kay; Margaret Allman-Farinelli
Journal:  JMIR Mhealth Uhealth       Date:  2018-11-07       Impact factor: 4.773

Review 5.  A Focused Review of Smartphone Diet-Tracking Apps: Usability, Functionality, Coherence With Behavior Change Theory, and Comparative Validity of Nutrient Intake and Energy Estimates.

Authors:  Giannina Ferrara; Jenna Kim; Shuhao Lin; Jenna Hua; Edmund Seto
Journal:  JMIR Mhealth Uhealth       Date:  2019-05-17       Impact factor: 4.773

6.  Impact of Training and Integration of Apps Into Dietetic Practice on Dietitians' Self-Efficacy With Using Mobile Health Apps and Patient Satisfaction.

Authors:  Juliana Chen; Margaret Allman-Farinelli
Journal:  JMIR Mhealth Uhealth       Date:  2019-03-04       Impact factor: 4.773

7.  Adaptation and Evaluation of Myfood24-Germany: A Web-Based Self-Administered 24-h Dietary Recall for the German Adult Population.

Authors:  Stefanie A J Koch; Johanna Conrad; Linda Hierath; Neil Hancock; Sarah Beer; Janet E Cade; Ute Nöthlings
Journal:  Nutrients       Date:  2020-01-06       Impact factor: 5.717

8.  The Design and Development of a Food Composition Database for an Electronic Tool to Assess Food Intake in New Caledonian Families.

Authors:  Juliana Chen; Solène Bertrand; Olivier Galy; David Raubenheimer; Margaret Allman-Farinelli; Corinne Caillaud
Journal:  Nutrients       Date:  2021-05-14       Impact factor: 5.717

9.  Using Wearable Cameras to Assess Foods and Beverages Omitted in 24 Hour Dietary Recalls and a Text Entry Food Record App.

Authors:  Virginia Chan; Alyse Davies; Lyndal Wellard-Cole; Silvia Lu; Hoi Ng; Lok Tsoi; Anjali Tiscia; Louise Signal; Anna Rangan; Luke Gemming; Margaret Allman-Farinelli
Journal:  Nutrients       Date:  2021-05-26       Impact factor: 5.717

10.  DietSensor: Automatic Dietary Intake Measurement Using Mobile 3D Scanning Sensor for Diabetic Patients.

Authors:  Sepehr Makhsous; Mukund Bharadwaj; Benjamin E Atkinson; Igor V Novosselov; Alexander V Mamishev
Journal:  Sensors (Basel)       Date:  2020-06-15       Impact factor: 3.576

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