Literature DB >> 20102830

Evidence-based development of a mobile telephone food record.

Bethany L Six1, Tusarebecca E Schap, Fengqing M Zhu, Anand Mariappan, Marc Bosch, Edward J Delp, David S Ebert, Deborah A Kerr, Carol J Boushey.   

Abstract

Mobile telephones with an integrated camera can provide a unique mechanism for collecting dietary information that reduces burden on record-keepers. Objectives for this study were to test whether participant's proficiency with the mobile telephone food record improved after training and repeated use and to measure changes in perceptions regarding use of the mobile telephone food record after training and repeated use. Seventy-eight adolescents (26 males, 52 females) ages 11 to 18 years were recruited to use the mobile telephone food record for one or two meals. Proficiency with the mobile telephone food record was defined as capturing a useful image for image analysis and self-reported ease of use. Positive changes in perceptions regarding use of the mobile telephone food record were assumed to equate to potentially improved proficiency with the mobile telephone food record. Participants received instruction for using the mobile telephone food record prior to their first meal, and captured an image of their meals before and after eating. Following the first meal, participants took part in an interactive session where they received additional training on capturing images in various snacking situations and responded to questions about user preferences. Changes in the participants' abilities to capture useful images and perceptions about the usability of the mobile telephone food record were examined using McNemar, Wilcoxon rank-sum test, and paired t test. After using the mobile telephone food record, the majority of participants (79%) agreed that the software was easy to use. Eleven percent of participants agreed taking images before snacking would be easy. After additional training, the percent increased significantly to 32% (P<0.0001). For taking images after snacking, there was also improvement (21% before training and 43% after; P<0.0001). Adolescents readily adopt new technologies; however, the mobile telephone food record design needs to accommodate the lifestyles of its users to ensure useful images and continuous use. Further, these results suggest that additional training in using a new technology may improve the accuracy among users. Copyright 2010 American Dietetic Association. Published by Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20102830      PMCID: PMC3042797          DOI: 10.1016/j.jada.2009.10.010

Source DB:  PubMed          Journal:  J Am Diet Assoc        ISSN: 0002-8223


  12 in total

1.  The estimation of food portion sizes: a comparison between using descriptions of portion sizes and a photographic food atlas by children and adults.

Authors:  C Frobisher; S M Maxwell
Journal:  J Hum Nutr Diet       Date:  2003-06       Impact factor: 3.089

2.  Development of a food frequency questionnaire to estimate calcium intake of Asian, Hispanic, and white youth.

Authors:  J Keith Jensen; Deborah Gustafson; Carol J Boushey; Garry Auld; Margaret Ann Bock; Christine M Bruhn; Kathe Gabel; Scottie Misner; Rachel Novotny; Louise Peck; Marsha Read
Journal:  J Am Diet Assoc       Date:  2004-05

3.  Technology-Assisted Dietary Assessment.

Authors:  Fengqing Zhu; Anand Mariappan; Carol J Boushey; Deb Kerr; Kyle D Lutes; David S Ebert; Edward J Delp
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2008-03-20

Review 4.  Issues in dietary intake assessment of children and adolescents.

Authors:  M B E Livingstone; P J Robson; J M W Wallace
Journal:  Br J Nutr       Date:  2004-10       Impact factor: 3.718

5.  Formative research of a quick list for an automated self-administered 24-hour dietary recall.

Authors:  Amy F Subar; Frances E Thompson; Nancy Potischman; Barbara H Forsyth; Richard Buday; Debbie Richards; Suzanne McNutt; Stephen G Hull; Patricia M Guenther; Arthur Schatzkin; Tom Baranowski
Journal:  J Am Diet Assoc       Date:  2007-06

6.  An introduction to qualitative research for food and nutrition professionals.

Authors:  Jeffrey E Harris; Philip M Gleason; Patricia M Sheean; Carol Boushey; Judith A Beto; Barbara Bruemmer
Journal:  J Am Diet Assoc       Date:  2009-01

7.  Personal Dietary Assessment Using Mobile Devices.

Authors:  Anand Mariappan; Marc Bosch; Fengqing Zhu; Carol J Boushey; Deborah A Kerr; David S Ebert; Edward J Delp
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2009-01-01

8.  Calcium intake of Asian, Hispanic and white youth.

Authors:  Rachel Novotny; Carol Boushey; Margaret A Bock; Louise Peck; Garry Auld; Christine M Bruhn; Deborah Gustafson; Kathe Gabel; James Keith Jensen; Scottie Misner; Marsha Read
Journal:  J Am Coll Nutr       Date:  2003-02       Impact factor: 3.169

9.  Validity of children's food portion estimates: a comparison of 2 measurement aids.

Authors:  Donna M Matheson; Kara A Hanson; Tiffany E McDonald; Thomas N Robinson
Journal:  Arch Pediatr Adolesc Med       Date:  2002-09

10.  Workshop 1: Use of technology in dietary assessment.

Authors:  J Winter; C J Boushey
Journal:  Eur J Clin Nutr       Date:  2009-02       Impact factor: 4.016

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  85 in total

1.  Recognition of physical activities in overweight Hispanic youth using KNOWME Networks.

Authors:  B Adar Emken; Ming Li; Gautam Thatte; Sangwon Lee; Murali Annavaram; Urbashi Mitra; Shrikanth Narayanan; Donna Spruijt-Metz
Journal:  J Phys Act Health       Date:  2011-05-11

2.  Taking advantage of the strengths of 2 different dietary assessment instruments to improve intake estimates for nutritional epidemiology.

Authors:  Raymond J Carroll; Douglas Midthune; Amy F Subar; Marina Shumakovich; Laurence S Freedman; Frances E Thompson; Victor Kipnis
Journal:  Am J Epidemiol       Date:  2012-01-24       Impact factor: 4.897

3.  A Sensor System for Automatic Detection of Food Intake Through Non-Invasive Monitoring of Chewing.

Authors:  Edward S Sazonov; Juan M Fontana
Journal:  IEEE Sens J       Date:  2012       Impact factor: 3.301

4.  Comparison of known food weights with image-based portion-size automated estimation and adolescents' self-reported portion size.

Authors:  Christina D Lee; Junghoon Chae; TusaRebecca E Schap; Deborah A Kerr; Edward J Delp; David S Ebert; Carol J Boushey
Journal:  J Diabetes Sci Technol       Date:  2012-03-01

Review 5.  Stimulating innovations in the measurement of parenting constructs.

Authors:  Louise C Mâsse; Allison W Watts
Journal:  Child Obes       Date:  2013-08       Impact factor: 2.992

6.  Development of a Mobile User Interface for Image-based Dietary Assessment.

Authors:  Sungye Kim; Tusarebecca Schap; Marc Bosch; Ross Maciejewski; Edward J Delp; David S Ebert; Carol J Boushey
Journal:  MUM Int Conf Mob Ubiquitous Multimed       Date:  2010-12-31

7.  THE USE OF CO-OCCURRENCE PATTERNS IN SINGLE IMAGE BASED FOOD PORTION ESTIMATION.

Authors:  Shaobo Fang; Fengqing Zhu; Carol J Boushey; Edward J Delp
Journal:  IEEE Glob Conf Signal Inf Process       Date:  2018-03-08

8.  EFFICIENT SUPERPIXEL BASED SEGMENTATION FOR FOOD IMAGE ANALYSIS.

Authors:  Yu Wang; Chang Liu; Fengqing Zhu; Carol J Boushey; Edward J Delp
Journal:  Proc Int Conf Image Proc       Date:  2016-12-08

9.  Multiple hypotheses image segmentation and classification with application to dietary assessment.

Authors:  Fengqing Zhu; Marc Bosch; Nitin Khanna; Carol J Boushey; Edward J Delp
Journal:  IEEE J Biomed Health Inform       Date:  2015-01       Impact factor: 5.772

Review 10.  Merging dietary assessment with the adolescent lifestyle.

Authors:  T E Schap; F Zhu; E J Delp; C J Boushey
Journal:  J Hum Nutr Diet       Date:  2013-03-13       Impact factor: 3.089

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