Literature DB >> 23848588

Measuring food intake with digital photography.

C K Martin1, T Nicklas, B Gunturk, J B Correa, H R Allen, C Champagne.   

Abstract

The digital photography of foods method accurately estimates the food intake of adults and children in cafeterias. When using this method, images of food selection and leftovers are quickly captured in the cafeteria. These images are later compared with images of 'standard' portions of food using computer software. The amount of food selected and discarded is estimated based upon this comparison, and the application automatically calculates energy and nutrient intake. In the present review, we describe this method, as well as a related method called the Remote Food Photography Method (RFPM), which relies on smartphones to estimate food intake in near real-time in free-living conditions. When using the RFPM, participants capture images of food selection and leftovers using a smartphone and these images are wirelessly transmitted in near real-time to a server for analysis. Because data are transferred and analysed in near real-time, the RFPM provides a platform for participants to quickly receive feedback about their food intake behaviour and to receive dietary recommendations for achieving weight loss and health promotion goals. The reliability and validity of measuring food intake with the RFPM in adults and children is also reviewed. In sum, the body of research reviewed demonstrates that digital imaging accurately estimates food intake in many environments and it has many advantages over other methods, including reduced participant burden, elimination of the need for participants to estimate portion size, and the incorporation of computer automation to improve the accuracy, efficiency and cost-effectiveness of the method.
© 2013 The British Dietetic Association Ltd.

Entities:  

Keywords:  dietary assessment digital photography; energy intake; food intake; food photography; free-living

Mesh:

Year:  2013        PMID: 23848588      PMCID: PMC4138603          DOI: 10.1111/jhn.12014

Source DB:  PubMed          Journal:  J Hum Nutr Diet        ISSN: 0952-3871            Impact factor:   3.089


  22 in total

1.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

2.  Quantification of food intake using food image analysis.

Authors:  Corby K Martin; Sertan Kaya; Bahadir K Gunturk
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009

3.  Errors in food recording and calorie estimation: clinical and theoretical implications for obesity.

Authors:  M A Zegman
Journal:  Addict Behav       Date:  1984       Impact factor: 3.913

4.  Overestimation of infant and toddler energy intake by 24-h recall compared with weighed food records.

Authors:  Jennifer O Fisher; Nancy F Butte; Patricia M Mendoza; Theresa A Wilson; Eric A Hodges; Kathleen C Reidy; Denise Deming
Journal:  Am J Clin Nutr       Date:  2008-08       Impact factor: 7.045

5.  Louisiana (LA) Health: design and methods for a childhood obesity prevention program in rural schools.

Authors:  Donald A Williamson; Catherine M Champagne; David Harsha; Hongmei Han; Corby K Martin; Robert Newton; Tiffany M Stewart; Donna H Ryan
Journal:  Contemp Clin Trials       Date:  2008-03-26       Impact factor: 2.226

6.  A novel method to remotely measure food intake of free-living individuals in real time: the remote food photography method.

Authors:  Corby K Martin; Hongmei Han; Sandra M Coulon; H Raymond Allen; Catherine M Champagne; Stephen D Anton
Journal:  Br J Nutr       Date:  2008-07-11       Impact factor: 3.718

7.  Wise Mind project: a school-based environmental approach for preventing weight gain in children.

Authors:  Donald A Williamson; Amy L Copeland; Stephen D Anton; Catherine Champagne; Hongmei Han; Leslie Lewis; Corby Martin; Robert L Newton; Melinda Sothern; Tiffany Stewart; Donna Ryan
Journal:  Obesity (Silver Spring)       Date:  2007-04       Impact factor: 5.002

8.  Characterizing dinner meals served and consumed by low-income preschool children.

Authors:  Theresa A Nicklas; Carol E O'Neil; Janice E Stuff; Sheryl O Hughes; Yan Liu
Journal:  Child Obes       Date:  2012-12       Impact factor: 2.992

9.  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

10.  Effect of an environmental school-based obesity prevention program on changes in body fat and body weight: a randomized trial.

Authors:  Donald A Williamson; Catherine M Champagne; David W Harsha; Hongmei Han; Corby K Martin; Robert L Newton; Melinda S Sothern; Tiffany M Stewart; Larry S Webber; Donna H Ryan
Journal:  Obesity (Silver Spring)       Date:  2012-03-08       Impact factor: 5.002

View more
  74 in total

1.  Reliability of 24-Hour Dietary Recalls as a Measure of Diet in African-American Youth.

Authors:  Sara M St George; M Lee Van Horn; Hannah G Lawman; Dawn K Wilson
Journal:  J Acad Nutr Diet       Date:  2016-07-06       Impact factor: 4.910

2.  Validity of a Digital Diet Estimation Method for Use with Preschool Children.

Authors:  Theresa Nicklas; Noemi G Islam; Rabab Saab; Rebecca Schulin; Yan Liu; Nancy F Butte; John W Apolzan; Candice A Myers; Corby K Martin
Journal:  J Acad Nutr Diet       Date:  2017-06-19       Impact factor: 4.910

3.  The use of social media in nutrition interventions for adolescents and young adults-A systematic review.

Authors:  Michelle M Chau; Marissa Burgermaster; Lena Mamykina
Journal:  Int J Med Inform       Date:  2018-10-06       Impact factor: 4.046

4.  HEROs: Design of a Mixed-Methods Formative Research Phase for an Ecocultural Intervention to Promote Healthy Eating and Activity Behaviors in Rural Families With Preschoolers.

Authors:  Laura L Bellows; Morgan McCloskey; Lauren Clark; Darcy A Thompson; Traci A Bekelman; Barbara Chamberlin; Susan L Johnson
Journal:  J Nutr Educ Behav       Date:  2018-04-10       Impact factor: 3.045

5.  Food Photography Is Not an Accurate Measure of Energy Intake in Obese, Pregnant Women.

Authors:  Jasper Most; Porsha M Vallo; Abby D Altazan; Linda Anne Gilmore; Elizabeth F Sutton; Loren E Cain; Jeffrey H Burton; Corby K Martin; Leanne M Redman
Journal:  J Nutr       Date:  2018-04-01       Impact factor: 4.798

6.  Validation of an inexpensive and accurate mathematical method to measure long-term changes in free-living energy intake.

Authors:  Arjun Sanghvi; Leanne M Redman; Corby K Martin; Eric Ravussin; Kevin D Hall
Journal:  Am J Clin Nutr       Date:  2015-06-03       Impact factor: 7.045

Review 7.  Advancing Measurement of Diabetes at the Population Level.

Authors:  Mohammed K Ali; Karen R Siegel; Michael Laxy; Edward W Gregg
Journal:  Curr Diab Rep       Date:  2018-09-19       Impact factor: 4.810

8.  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

Review 9.  Review of the validity and feasibility of image-assisted methods for dietary assessment.

Authors:  Christoph Höchsmann; Corby K Martin
Journal:  Int J Obes (Lond)       Date:  2020-10-08       Impact factor: 5.095

10.  Short and long-term energy intake patterns and their implications for human body weight regulation.

Authors:  Carson C Chow; Kevin D Hall
Journal:  Physiol Behav       Date:  2014-02-28
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.