Literature DB >> 18984494

The feasibility of personal digital assistants (PDAs) to collect dietary intake data in low-income pregnant women.

Eileen R Fowles1, Breine Gentry.   

Abstract

OBJECTIVES: To determine the feasibility of using personal digital assistant (PDA)-based technology for tracking and analysis of food intake in low-income pregnant women.
DESIGN: Descriptive. Participants provided an initial 24-hour dietary recall and recorded their food intake using a PDA-based software program for 2 days.
SETTING: Recruitment occurred during the prenatal intake visit at a health department-sponsored Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) clinic. PARTICIPANTS: Nonprobability sampling was used to recruit 10 women. VARIABLE MEASURED: Demographics and a satisfaction rating scale for the 2 food recording methods. A Healthy Eating Index (HEI) was calculated for each food record. ANALYSIS: Scores of the satisfaction rating scales were summarized. Paired t tests were used to analyze differences in HEIs obtained from the participants' 24-hour recall and PDA-based food records.
RESULTS: The PDA was significantly easier to use compared to the 24-hour recall, and no significant differences in ease of remembering food intake between these methods was noted. Most women liked the PDA and felt it was more accurate than 24-hour recalls. Results showed no significant difference in mean HEI scores between food records from 24-hour recall to PDA. CONCLUSIONS AND IMPLICATIONS: PDA-based software may be an acceptable method for obtaining food records to provide more accurate assessments of dietary intake in this vulnerable population.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18984494     DOI: 10.1016/j.jneb.2007.08.015

Source DB:  PubMed          Journal:  J Nutr Educ Behav        ISSN: 1499-4046            Impact factor:   3.045


  9 in total

1.  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

2.  Validity and feasibility of a digital diet estimation method for use with preschool children: a pilot study.

Authors:  Theresa A Nicklas; Carol E O'Neil; Janice Stuff; Lora Suzanne Goodell; Yan Liu; Corby K Martin
Journal:  J Nutr Educ Behav       Date:  2012-06-23       Impact factor: 3.045

3.  Integrated electronic platforms for weight loss.

Authors:  Shelly K McCrady-Spitzer; James A Levine
Journal:  Expert Rev Med Devices       Date:  2010-03       Impact factor: 3.166

4.  Lessons learned from the mothers' overweight management study in 4 West Virginia WIC offices.

Authors:  Debra Krummel; Elizabeth Semmens; Anne M MacBride; Brenda Fisher
Journal:  J Nutr Educ Behav       Date:  2010 May-Jun       Impact factor: 3.045

5.  Use of a web-based dietary assessment tool in early pregnancy.

Authors:  L Mullaney; A C O'Higgins; S Cawley; R Kennedy; D McCartney; M J Turner
Journal:  Ir J Med Sci       Date:  2016-03-11       Impact factor: 1.568

6.  Improving Childhood Obesity Treatment Using New Technologies: The ETIOBE System.

Authors:  Rosa M Baños; Ausias Cebolla; Cristina Botella; Azucena García-Palacios; Elia Oliver; Irene Zaragoza; Mariano Alcaniz
Journal:  Clin Pract Epidemiol Ment Health       Date:  2011-03-04

Review 7.  Mobile technologies and geographic information systems to improve health care systems: a literature review.

Authors:  José António Nhavoto; Ake Grönlund
Journal:  JMIR Mhealth Uhealth       Date:  2014-05-08       Impact factor: 4.773

Review 8.  Social Health Inequalities and eHealth: A Literature Review With Qualitative Synthesis of Theoretical and Empirical Studies.

Authors:  Karine Latulippe; Christine Hamel; Dominique Giroux
Journal:  J Med Internet Res       Date:  2017-04-27       Impact factor: 5.428

9.  Promoting Healthy Eating Habits for College Students Through Creating Dietary Diaries via a Smartphone App and Social Media Interaction: Online Survey Study.

Authors:  Masako Watanabe-Ito; Emiko Kishi; Yoko Shimizu
Journal:  JMIR Mhealth Uhealth       Date:  2020-03-31       Impact factor: 4.773

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.