Literature DB >> 26002278

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

Luke Gemming1, Aiden Doherty2, Jennifer Utter3, Emma Shields4, Cliona Ni Mhurchu4.   

Abstract

Research investigating the influence of the environmental and social factors on eating behaviours in free-living settings is limited. This study investigates the utility of using wearable camera images to assess the context of eating episodes. Adult participants (N = 40) wore a SenseCam wearable camera for 4 days (including 1 familiarisation day) over a 15-day period in free-living conditions, and had their diet assessed using three image-assisted multiple-pass 24-hour dietary recalls. The images of participants' eating episodes were analysed and annotated according to their environmental and social contexts; including eating location, external environment (indoor/outdoor), physical position, social interaction, and viewing media screens. Data for 107 days were used, with a total of 742 eating episodes considered for annotation. Twenty nine per cent (214/742) of the episodes could not be categorised due to absent images (12%, n = 85), dark/blurry images (8%, n = 58), camera not worn (7%, n = 54) and for mixed reasons (2%, n = 17). Most eating episodes were at home (59%) and indoors (91%). Meals at food retailers were 24.8 minutes longer (95% CI: 13.4 to 36.2) and were higher in energy (mean difference = 1196 kJ 95% CI: 242, 2149) than at home. Most episodes were seated at tables (27%) or sofas (26%), but eating standing (19%) or at desks (18%) were common. Social interaction was evident for 45% of episodes and media screens were viewed during 55% of episodes. Meals at home watching television were 3.1 minutes longer (95% CI: -0.6 to 6.7) and higher in energy intake than when no screen was viewed (543 kJ 95% CI: -32 to 1120). The environmental and social context that surrounds eating and dietary behaviours can be assessed using wearable camera images.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Context; Eating behaviour; Nutrition assessment; SenseCam

Mesh:

Year:  2015        PMID: 26002278     DOI: 10.1016/j.appet.2015.05.019

Source DB:  PubMed          Journal:  Appetite        ISSN: 0195-6663            Impact factor:   3.868


  26 in total

1.  Dietary under-reporting: what foods and which meals are typically under-reported?

Authors:  L Gemming; C Ni Mhurchu
Journal:  Eur J Clin Nutr       Date:  2015-12-16       Impact factor: 4.016

Review 2.  Automatic, wearable-based, in-field eating detection approaches for public health research: a scoping review.

Authors:  Brooke M Bell; Ridwan Alam; Nabil Alshurafa; Edison Thomaz; Abu S Mondol; Kayla de la Haye; John A Stankovic; John Lach; Donna Spruijt-Metz
Journal:  NPJ Digit Med       Date:  2020-03-13

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

Authors:  Alicia Beltran; Hafza Dadabhoy; Courtney Ryan; Ruchita Dholakia; Wenyan Jia; Janice Baranowski; Mingui Sun; Tom Baranowski
Journal:  J Acad Nutr Diet       Date:  2018-08-13       Impact factor: 4.910

4.  Using wearable cameras to monitor eating and drinking behaviours during transport journeys.

Authors:  Alyse Davies; Virginia Chan; Adrian Bauman; Louise Signal; Cameron Hosking; Luke Gemming; Margaret Allman-Farinelli
Journal:  Eur J Nutr       Date:  2020-09-04       Impact factor: 5.614

5.  Automatic food detection in egocentric images using artificial intelligence technology.

Authors:  Wenyan Jia; Yuecheng Li; Ruowei Qu; Thomas Baranowski; Lora E Burke; Hong Zhang; Yicheng Bai; Juliet M Mancino; Guizhi Xu; Zhi-Hong Mao; Mingui Sun
Journal:  Public Health Nutr       Date:  2018-03-26       Impact factor: 4.022

6.  Adapting the eButton to the Abilities of Children for Diet Assessment.

Authors:  A Beltran; H Dadabhoy; T A Chen; C Lin; W Jia; J Baranowski; G Yan; M Sun; T Baranowski
Journal:  Proc Meas Behav 2016 (2016)       Date:  2016-05

7.  Using Wearable Cameras to Investigate Health-Related Daily Life Experiences: A Literature Review of Precautions and Risks in Empirical Studies.

Authors:  Laurel E Meyer; Lauren Porter; Meghan E Reilly; Caroline Johnson; Salman Safir; Shelly F Greenfield; Benjamin C Silverman; James I Hudson; Kristin N Javaras
Journal:  Res Ethics       Date:  2021-10-30

8.  How is television time linked to cardiometabolic health in adults? A critical systematic review of the evidence for an effect of watching television on eating, movement, affect and sleep.

Authors:  Janelle M Wagnild; Tessa M Pollard
Journal:  BMJ Open       Date:  2021-05-05       Impact factor: 2.692

Review 9.  Fluid Intake Monitoring Systems for the Elderly: A Review of the Literature.

Authors:  Rachel Cohen; Geoff Fernie; Atena Roshan Fekr
Journal:  Nutrients       Date:  2021-06-19       Impact factor: 5.717

10.  Objective and subjective measurement of sedentary behavior in human adults: A toolkit.

Authors:  Justin Aunger; Janelle Wagnild
Journal:  Am J Hum Biol       Date:  2020-12-05       Impact factor: 2.947

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