Literature DB >> 30115556

Dietary Assessment with a Wearable Camera among Children: Feasibility and Intercoder Reliability.

Alicia Beltran, Hafza Dadabhoy, Courtney Ryan, Ruchita Dholakia, Wenyan Jia, Janice Baranowski, Mingui Sun, Tom Baranowski.   

Abstract

BACKGROUND: The eButton, a multisensor device worn on the chest, uses a camera to passively capture images of everything in front of the child throughout the day. These images can be analyzed to provide a passive method of dietary intake assessment.
OBJECTIVE: This study assessed the eButton's feasibility and intercoder reliability for dietary intake assessment.
DESIGN: Children were recruited in the summer and fall of 2015, in Houston, TX, to wear the eButton to take 2 full days of dietary images, and the child-parent dyad participated in a following-day interview to verify what dietitians recorded from the images. PARTICIPANTS/
SETTING: Thirty 9- to 13-year-old children participated during days convenient to them. MAIN OUTCOME MEASURES: Two dietitians independently manually reviewed the images to identify eating events, foods in those events, and portion sizes. STATISTICAL ANALYSES PERFORMED: Descriptive statistics of agreements and disagreements were calculated between dietitians and with children; t tests and Bland-Altman plots of differences in total kilocalories were calculated between dietitians and between initial dietitian estimates and those finalized after the verification interviews.
RESULTS: The dietitians agreed on the identity of 60.5% of the 1,026 foods but disagreed on 28.6% of the foods and on the names for 10.8% of the foods. After the verification interviews, the dietitians agreed with the child-parent dyads on the identity of 77.0% of the 921 foods; the child-parent dyad identified 12.4% of the day's foods when images were not available or not clear; the child-parent dyad clarified that 5.4% of the foods identified were not consumed by the child; and the child-parent dyad clarified the identity of 5.2% of the foods. A software-based approach (three-dimensional wire mesh) could be used to estimate portion size on 24% of the foods, and professional judgment was required for 67.8%. Mean caloric intakes per day were not statistically significantly different between dietitians but were different between dietitians and child-parent dyads in total and on day 2.
CONCLUSIONS: An early test of intercoder reliability of an all-day image method of dietary intake assessment obtained intercoder agreement between the two dietitians processing these images of intraclass correlation coefficient=0.67. A following-day verification interview with the child and parent was necessary to ensure completeness of estimates. Several feasibility problems occurred, which may be remedied with additional participant and dietitian training and further technological development.
Copyright © 2018 Academy of Nutrition and Dietetics. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Child; Diet; Measurement; Portion size; Wearable camera

Mesh:

Year:  2018        PMID: 30115556      PMCID: PMC8114336          DOI: 10.1016/j.jand.2018.05.013

Source DB:  PubMed          Journal:  J Acad Nutr Diet        ISSN: 2212-2672            Impact factor:   4.910


  26 in total

1.  The use of a wearable camera to capture and categorise the environmental and social context of self-identified eating episodes.

Authors:  Luke Gemming; Aiden Doherty; Jennifer Utter; Emma Shields; Cliona Ni Mhurchu
Journal:  Appetite       Date:  2015-05-19       Impact factor: 3.868

2.  Daily life event segmentation for lifestyle evaluation based on multi-sensor data recorded by a wearable device.

Authors:  Zhen Li; Zhiqiang Wei; Wenyan Jia; Mingui Sun
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2013

3.  Reliability and validity of food portion size estimation from images using manual flexible digital virtual meshes.

Authors:  Alicia Beltran; Hafza Dadabhoy; Courtney Ryan; Ruchita Dholakia; Janice Baranowski; Yuecheng Li; Guifang Yan; Wenyan Jia; Mingui Sun; Tom Baranowski
Journal:  Public Health Nutr       Date:  2018-02-12       Impact factor: 4.022

4.  Imaged based estimation of food volume using circular referents in dietary assessment.

Authors:  Wenyan Jia; Yaofeng Yue; John D Fernstrom; Ning Yao; Robert J Sclabassi; Madelyn H Fernstrom; Mingui Sun
Journal:  J Food Eng       Date:  2011-10-06       Impact factor: 5.354

5.  Single-View Food Portion Estimation Based on Geometric Models.

Authors:  Shaobo Fang; Chang Liu; Fengqing Zhu; Edward J Delp; Carol J Boushey
Journal:  ISM       Date:  2016-03-28

6.  Accuracy of food portion size estimation from digital pictures acquired by a chest-worn camera.

Authors:  Wenyan Jia; Hsin-Chen Chen; Yaofeng Yue; Zhaoxin Li; John Fernstrom; Yicheng Bai; Chengliu Li; Mingui Sun
Journal:  Public Health Nutr       Date:  2013-12-04       Impact factor: 4.022

7.  Measurement of food volume based on single 2-D image without conventional camera calibration.

Authors:  Yaofeng Yue; Wenyan Jia; Mingui Sun
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2012

8.  Need for technological innovation in dietary assessment.

Authors:  Frances E Thompson; Amy F Subar; Catherine M Loria; Jill L Reedy; Tom Baranowski
Journal:  J Am Diet Assoc       Date:  2010-01

9.  How willing are adolescents to record their dietary intake? The mobile food record.

Authors:  Carol Jo Boushey; Amelia J Harray; Deborah Anne Kerr; TusaRebecca E Schap; Stacey Paterson; Tanisha Aflague; Marc Bosch Ruiz; Ziad Ahmad; Edward J Delp
Journal:  JMIR Mhealth Uhealth       Date:  2015-05-29       Impact factor: 4.773

10.  Overcoming Dietary Assessment Challenges in Low-Income Countries: Technological Solutions Proposed by the International Dietary Data Expansion (INDDEX) Project.

Authors:  Jennifer C Coates; Brooke A Colaiezzi; Winnie Bell; U Ruth Charrondiere; Catherine Leclercq
Journal:  Nutrients       Date:  2017-03-16       Impact factor: 5.717

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  6 in total

1.  Public Health Procedures, Alone, Will Not Prevent Child Obesity.

Authors:  Tom Baranowski; Kathleen J Motil; Jennette P Moreno
Journal:  Child Obes       Date:  2019-09       Impact factor: 2.992

2.  Advances and Controversies in Diet and Physical Activity Measurement in Youth.

Authors:  Donna Spruijt-Metz; Cheng K Fred Wen; Brooke M Bell; Stephen Intille; Jeannie S Huang; Tom Baranowski
Journal:  Am J Prev Med       Date:  2018-08-19       Impact factor: 5.043

3.  Validation of an Automated Wearable Camera-Based Image-Assisted Recall Method and the 24-h Recall Method for Assessing Women's Time Allocation in a Nutritionally Vulnerable Population: The Case of Rural Uganda.

Authors:  Andrea L S Bulungu; Luigi Palla; Jan Priebe; Lora Forsythe; Pamela Katic; Gwen Varley; Bernice D Galinda; Nakimuli Sarah; Joweria Nambooze; Kate Wellard; Elaine L Ferguson
Journal:  Nutrients       Date:  2022-04-27       Impact factor: 6.706

Review 4.  Future Directions for Integrative Objective Assessment of Eating Using Wearable Sensing Technology.

Authors:  Andy Skinner; Zoi Toumpakari; Christopher Stone; Laura Johnson
Journal:  Front Nutr       Date:  2020-07-02

5.  Feasibility of wearable cameras to assess screen time and time spent restrained in children aged 3 to 5 years: a study protocol.

Authors:  Katherine L Downing; Xanne Janssen; John J Reilly
Journal:  BMJ Open       Date:  2019-05-22       Impact factor: 2.692

6.  Using Wearable Cameras to Categorize the Type and Context of Screen-Based Behaviors Among Adolescents: Observational Study.

Authors:  George Thomas; Jason A Bennie; Katrien De Cocker; Fitria Dwi Andriyani; Bridget Booker; Stuart J H Biddle
Journal:  JMIR Pediatr Parent       Date:  2022-03-21
  6 in total

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