Literature DB >> 16007557

Self-monitoring dietary intake: current and future practices.

Lora E Burke1, Melanie Warziski, Terry Starrett, Jina Choo, Edvin Music, Susan Sereika, Susan Stark, Mary Ann Sevick.   

Abstract

This article reviews the literature on the use of paper diaries for self-monitoring food intake, identifies the strengths and limitations of paper-and-pencil diaries and their new counterpart, the electronic diary or personal digital assistant (PDA), and reports how participants were trained to use a PDA with dietary software in two pilot studies--one with hemodialysis patients and the other with participants in a weight loss study. The report of the pilot studies focuses on the practical issues encountered in training participants in the use of a PDA and addresses the pros and cons of different dietary software programs. Six hemodialysis patients were trained in the first study and seven participants attempting to lose or maintain their weight were trained in the second pilot study. The training focused on how to use a PDA and how to navigate the dietary software to self-monitor food intake. The goals of using the PDA were to improve adherence to the therapeutic diets and to self-monitoring. Lessons learned from the pilot studies are shared.

Entities:  

Mesh:

Year:  2005        PMID: 16007557     DOI: 10.1016/j.jrn.2005.04.002

Source DB:  PubMed          Journal:  J Ren Nutr        ISSN: 1051-2276            Impact factor:   3.655


  45 in total

Review 1.  Computer-assisted versus oral-and-written dietary history taking for diabetes mellitus.

Authors:  Igor Wei; Yannis Pappas; Josip Car; Aziz Sheikh; Azeem Majeed
Journal:  Cochrane Database Syst Rev       Date:  2011-12-07

2.  Factors associated with probability of personal digital assistant-based dietary self-monitoring in those with type 2 diabetes.

Authors:  Mary Ann Sevick; Roslyn A Stone; Susan Zickmund; Yuanyuan Wang; Mary Korytkowski; Lora E Burke
Journal:  J Behav Med       Date:  2010-03-16

3.  Estimation of protein from the images of health drink powders.

Authors:  P Josephin Shermila; A Milton
Journal:  J Food Sci Technol       Date:  2019-12-21       Impact factor: 2.701

4.  PREDIRCAM eHealth platform for individualized telemedical assistance for lifestyle modification in the treatment of obesity, diabetes, and cardiometabolic risk prevention: a pilot study (PREDIRCAM 1).

Authors:  Cintia González; Pau Herrero; José M Cubero; José M Iniesta; M Elena Hernando; Gema García-Sáez; Alvaro J Serrano; Iñaki Martinez-Sarriegui; Carmen Perez-Gandia; Enrique J Gómez; Esther Rubinat; Valeria Alcantara; Eulalia Brugués; Ana Chico; Eugenia Mato; Olga Bell; Rosa Corcoy; Alberto de Leiva
Journal:  J Diabetes Sci Technol       Date:  2013-07-01

5.  Dietary protein-induced increases in urinary calcium are accompanied by similar increases in urinary nitrogen and urinary urea: a controlled clinical trial.

Authors:  Jessica D Bihuniak; Christine A Simpson; Rebecca R Sullivan; Donna M Caseria; Jane E Kerstetter; Karl L Insogna
Journal:  J Acad Nutr Diet       Date:  2013-03       Impact factor: 4.910

6.  Design, feasibility, and acceptability of an intervention using personal digital assistant-based self-monitoring in managing type 2 diabetes.

Authors:  Mary Ann Sevick; Susan Zickmund; Mary Korytkowski; Beth Piraino; Susan Sereika; Shannon Mihalko; Linda Snetselaar; Phyllis Stumbo; Leslie Hausmann; Dianxu Ren; Rita Marsh; Teresa Sakraida; Jolynn Gibson; Mehry Safaien; Terry J Starrett; Lora E Burke
Journal:  Contemp Clin Trials       Date:  2007-09-26       Impact factor: 2.226

7.  The use of mHealth to deliver tailored messages reduces reported energy and fat intake.

Authors:  Erica J Ambeba; Lei Ye; Susan M Sereika; Mindi A Styn; Sushama D Acharya; Mary Ann Sevick; Linda J Ewing; Molly B Conroy; Karen Glanz; Yaguang Zheng; Rachel W Goode; Meghan Mattos; Lora E Burke
Journal:  J Cardiovasc Nurs       Date:  2015 Jan-Feb       Impact factor: 2.083

8.  Utilizing Ecological Momentary Assessment in pediatric obesity to quantify behavior, emotion, and sleep.

Authors:  Dana L Rofey; Ethan E Hull; Jennifer Phillips; Kristen Vogt; Jennifer S Silk; Ronald E Dahl
Journal:  Obesity (Silver Spring)       Date:  2009-12-17       Impact factor: 5.002

9.  Comparison of traditional versus mobile app self-monitoring of physical activity and dietary intake among overweight adults participating in an mHealth weight loss program.

Authors:  Gabrielle M Turner-McGrievy; Michael W Beets; Justin B Moore; Andrew T Kaczynski; Daheia J Barr-Anderson; Deborah F Tate
Journal:  J Am Med Inform Assoc       Date:  2013-02-21       Impact factor: 4.497

10.  Adherence to a behavioral weight loss treatment program enhances weight loss and improvements in biomarkers.

Authors:  Sushama D Acharya; Okan U Elci; Susan M Sereika; Edvin Music; Mindi A Styn; Melanie Warziski Turk; Lora E Burke
Journal:  Patient Prefer Adherence       Date:  2009-11-03       Impact factor: 2.711

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