Literature DB >> 22958633

Dietary assessment and self-monitoring with nutrition applications for mobile devices.

Jessica R L Lieffers1, Rhona M Hanning.   

Abstract

Nutrition applications for mobile devices (e.g., personal digital assistants, smartphones) are becoming increasingly accessible and can assist with the difficult task of intake recording for dietary assessment and self-monitoring. This review is a compilation and discussion of research on this tool for dietary intake documentation in healthy populations and those trying to lose weight. The purpose is to compare this tool with conventional methods (e.g., 24-hour recall interviews, paper-based food records). Research databases were searched from January 2000 to April 2011, with the following criteria: healthy or weight loss populations, use of a mobile device nutrition application, and inclusion of at least one of three measures, which were the ability to capture dietary intake in comparison with conventional methods, dietary self-monitoring adherence, and changes in anthropometrics and/or dietary intake. Eighteen studies are discussed. Two application categories were identified: those with which users select food and portion size from databases and those with which users photograph their food. Overall, positive feedback was reported with applications. Both application types had moderate to good correlations for assessing energy and nutrient intakes in comparison with conventional methods. For self-monitoring, applications versus conventional techniques (often paper records) frequently resulted in better self-monitoring adherence, and changes in dietary intake and/or anthropometrics. Nutrition applications for mobile devices have an exciting potential for use in dietetic practice.

Entities:  

Mesh:

Year:  2012        PMID: 22958633     DOI: 10.3148/73.3.2012.e253

Source DB:  PubMed          Journal:  Can J Diet Pract Res        ISSN: 1486-3847            Impact factor:   0.940


  32 in total

1.  The development of a mobile u-Health program and evaluation for self-diet management for diabetic patients.

Authors:  Yun Ahn; Jeahurn Bae; Hee-Seon Kim
Journal:  Nutr Res Pract       Date:  2016-04-20       Impact factor: 1.926

2.  Defining Adherence to Mobile Dietary Self-Monitoring and Assessing Tracking Over Time: Tracking at Least Two Eating Occasions per Day Is Best Marker of Adherence within Two Different Mobile Health Randomized Weight Loss Interventions.

Authors:  Gabrielle M Turner-McGrievy; Caroline Glagola Dunn; Sara Wilcox; Alycia K Boutté; Brent Hutto; Adam Hoover; Eric Muth
Journal:  J Acad Nutr Diet       Date:  2019-05-30       Impact factor: 4.910

3.  TEEN HEED: Design of a clinical-community youth diabetes prevention intervention.

Authors:  Nita Vangeepuram; Narissa Williams; Jeremy Constable; Lindsey Waldman; Patricia Lopez-Belin; LaTanya Phelps-Waldropt; Carol R Horowitz
Journal:  Contemp Clin Trials       Date:  2017-03-23       Impact factor: 2.226

4.  Technology- and Phone-Based Weight Loss Intervention: Pilot RCT in Women at Elevated Breast Cancer Risk.

Authors:  Sheri J Hartman; Sandahl H Nelson; Lisa A Cadmus-Bertram; Ruth E Patterson; Barbara A Parker; John P Pierce
Journal:  Am J Prev Med       Date:  2016-09-02       Impact factor: 5.043

5.  Photo-Assisted Dietary Method Improves Estimates of Dietary Intake Among People with Sleeve Gastrectomy.

Authors:  Ebaa Al-Ozairi; Manar M AlAwadhi; Jumana Al Kandari; Etab Taghadom; Mohammad Abdullah; Carel W Le Roux
Journal:  Obes Surg       Date:  2019-05       Impact factor: 4.129

6.  Improving the estimation of flavonoid intake for study of health outcomes.

Authors:  Julia J Peterson; Johanna T Dwyer; Paul F Jacques; Marjorie L McCullough
Journal:  Nutr Rev       Date:  2015-06-16       Impact factor: 7.110

Review 7.  The technology boom: a new era in obesity management.

Authors:  L Anne Gilmore; Abby F Duhé; Elizabeth A Frost; Leanne M Redman
Journal:  J Diabetes Sci Technol       Date:  2014-02-27

8.  Smartphone Applications for Promoting Healthy Diet and Nutrition: A Literature Review.

Authors:  Steven S Coughlin; Mary Whitehead; Joyce Q Sheats; Jeff Mastromonico; Dale Hardy; Selina A Smith
Journal:  Jacobs J Food Nutr       Date:  2015

9.  Byte by Bite: Use of a mobile Bite Counter and weekly behavioral challenges to promote weight loss.

Authors:  Gabrielle M Turner-McGrievy; Alycia Boutté; Anthony Crimarco; Sara Wilcox; Brent E Hutto; Adam Hoover; Eric R Muth
Journal:  Smart Health (Amst)       Date:  2017-04-26

10.  Diet app use by sports dietitians: a survey in five countries.

Authors:  Michelle R Jospe; Kirsty A Fairbairn; Peter Green; Tracy L Perry
Journal:  JMIR Mhealth Uhealth       Date:  2015-01-22       Impact factor: 4.773

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