Literature DB >> 22128303

Technology-Assisted Dietary Assessment.

Fengqing Zhu1, Anand Mariappan, Carol J Boushey, Deb Kerr, Kyle D Lutes, David S Ebert, Edward J Delp.   

Abstract

Dietary intake provides valuable insights for mounting intervention programs for prevention of disease. With growing concern for adolescent obesity, the need to accurately measure diet becomes imperative. Assessment among adolescents is problematic as this group has irregular eating patterns and have less enthusiasm for recording food intake. Preliminary studies among adolescents suggest that innovative use of technology may improve the accuracy of diet information from young people. In this paper, we propose a novel food record method using a mobile device that will provide an accurate account of daily food and nutrient intake among adolescents. Our approach includes the use of image analysis tools for identification and quantification of food consumption. Images obtained before and after food is consumed can be used to estimate the diet of an individual. In this paper we describe our initial results and indicate the potential of the proposed system.

Entities:  

Year:  2008        PMID: 22128303      PMCID: PMC3224859          DOI: 10.1117/12.778616

Source DB:  PubMed          Journal:  Proc SPIE Int Soc Opt Eng        ISSN: 0277-786X


  34 in total

1.  Portion-size estimation training in second- and third-grade American Indian children.

Authors:  J L Weber; L Cunningham-Sabo; B Skipper; L Lytle; J Stevens; J Gittelsohn; J Anliker; K Heller; J L Pablo
Journal:  Am J Clin Nutr       Date:  1999-04       Impact factor: 7.045

2.  Validity of reported energy expenditure and energy and protein intakes in Swedish adolescent vegans and omnivores.

Authors:  Christel L Larsson; Klaas R Westerterp; Gunnar K Johansson
Journal:  Am J Clin Nutr       Date:  2002-02       Impact factor: 7.045

3.  Patterns and trends in food portion sizes, 1977-1998.

Authors:  Samara Joy Nielsen; Barry M Popkin
Journal:  JAMA       Date:  2003 Jan 22-29       Impact factor: 56.272

4.  Longitudinal changes in the accuracy of reported energy intake in girls 10-15 y of age.

Authors:  Linda G Bandini; Aviva Must; Helene Cyr; Sarah E Anderson; Jennifer L Spadano; William H Dietz
Journal:  Am J Clin Nutr       Date:  2003-09       Impact factor: 7.045

5.  An introduction to kernel-based learning algorithms.

Authors:  K R Müller; S Mika; G Rätsch; K Tsuda; B Schölkopf
Journal:  IEEE Trans Neural Netw       Date:  2001

6.  Low accuracy and low consistency of fourth-graders' school breakfast and school lunch recalls.

Authors:  Suzanne Domel Baxter; William O Thompson; Mark S Litaker; Francesca H A Frye; Caroline H Guinn
Journal:  J Am Diet Assoc       Date:  2002-03

7.  Evaluation of four methods for determining energy intake in young and older women: comparison with doubly labeled water measurements of total energy expenditure.

Authors:  A L Sawaya; K Tucker; R Tsay; W Willett; E Saltzman; G E Dallal; S B Roberts
Journal:  Am J Clin Nutr       Date:  1996-04       Impact factor: 7.045

8.  Literacy and body fatness are associated with underreporting of energy intake in US low-income women using the multiple-pass 24-hour recall: a doubly labeled water study.

Authors:  R K Johnson; R P Soultanakis; D E Matthews
Journal:  J Am Diet Assoc       Date:  1998-10

9.  Prevalence and trends in overweight among US children and adolescents, 1999-2000.

Authors:  Cynthia L Ogden; Katherine M Flegal; Margaret D Carroll; Clifford L Johnson
Journal:  JAMA       Date:  2002-10-09       Impact factor: 56.272

10.  Who underreports dietary intake in a dietary recall? Evidence from the Second National Health and Nutrition Examination Survey.

Authors:  R C Klesges; L H Eck; J W Ray
Journal:  J Consult Clin Psychol       Date:  1995-06
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  11 in total

1.  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

2.  Evaluation of the Food and Nutrient Database for Dietary Studies for use with a mobile telephone food record.

Authors:  Bethany L Six; Tusarebecca E Schap; Deborah A Kerr; Carol J Boushey
Journal:  J Food Compost Anal       Date:  2011-12-01       Impact factor: 4.556

3.  A new method for measuring meal intake in humans via automated wrist motion tracking.

Authors:  Yujie Dong; Adam Hoover; Jenna Scisco; Eric Muth
Journal:  Appl Psychophysiol Biofeedback       Date:  2012-04-10

4.  Volume Estimation Using Food Specific Shape Templates in Mobile Image-Based Dietary Assessment.

Authors:  Junghoon Chae; Insoo Woo; Sungye Kim; Ross Maciejewski; Fengging Zhu; Edward J Delp; Carol J Boushey; David S Ebert
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2011-02-07

5.  Adolescents in the United States can identify familiar foods at the time of consumption and when prompted with an image 14 h postprandial, but poorly estimate portions.

Authors:  TusaRebecca E Schap; Bethany L Six; Edward J Delp; David S Ebert; Deborah A Kerr; Carol J Boushey
Journal:  Public Health Nutr       Date:  2011-02-16       Impact factor: 4.022

Review 6.  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

7.  Evidence-based development of a mobile telephone food record.

Authors:  Bethany L Six; Tusarebecca E Schap; Fengqing M Zhu; Anand Mariappan; Marc Bosch; Edward J Delp; David S Ebert; Deborah A Kerr; Carol J Boushey
Journal:  J Am Diet Assoc       Date:  2010-01

8.  Novel technologies for assessing dietary intake: evaluating the usability of a mobile telephone food record among adults and adolescents.

Authors:  Bethany L Daugherty; TusaRebecca E Schap; Reynolette Ettienne-Gittens; Fengqing M Zhu; Marc Bosch; Edward J Delp; David S Ebert; Deborah A Kerr; Carol J Boushey
Journal:  J Med Internet Res       Date:  2012-04-13       Impact factor: 5.428

9.  Validation of a digital photographic method for assessment of dietary quality of school lunch sandwiches brought from home.

Authors:  Marianne S Sabinsky; Ulla Toft; Klaus K Andersen; Inge Tetens
Journal:  Food Nutr Res       Date:  2013-07-12       Impact factor: 3.894

10.  Man or machine? Will the digital transition be able to automatize dietary intake data collection?

Authors:  Bent Egberg Mikkelsen
Journal:  Public Health Nutr       Date:  2019-05       Impact factor: 4.022

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