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

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

doi:10.1016/j.jand.2018.05.013

Cited by 21 publications

(34 citation statements)

References 20 publications

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“…Depending on the needs of the particular scenario, and balancing speed, accuracy, and cost, data from the central profile may be sent for further analysis. For example, images of meals may be sent to a crowd-based application (44), or a dietician to refine food item identification and portion sizes (72).…”

Section: Integrating Methodsmentioning

confidence: 99%

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

et al. 2020

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Established methods for nutritional assessment suffer from a number of important limitations. Diaries are burdensome to complete, food frequency questionnaires only capture average food intake, and both suffer from difficulties in self estimation of portion size and biases resulting from misreporting. Online and app versions of these methods have been developed, but issues with misreporting and portion size estimation remain. New methods utilizing passive data capture are required that address reporting bias, extend timescales for data collection, and transform what is possible for measuring habitual intakes. Digital and sensing technologies are enabling the development of innovative and transformative new methods in this area that will provide a better understanding of eating behavior and associations with health. In this article we describe how wrist-worn wearables, on-body cameras, and body-mounted biosensors can be used to capture data about when, what, and how much people eat and drink. We illustrate how these new techniques can be integrated to provide complete solutions for the passive, objective assessment of a wide range of traditional dietary factors, as well as novel measures of eating architecture, within person variation in intakes, and food/nutrient combinations within meals. We also discuss some of the challenges these new approaches will bring.

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Section: Integrating Methodsmentioning

confidence: 99%

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

et al. 2020

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show abstract

“…Depending on the needs of the particular scenario, and balancing speed, accuracy, and cost, data from the central profile may be sent for further analysis. For example, images of meals may be sent to a crowd-based application 42 , or a dietician to refine food item identification and portion sizes 68 .…”

Section: Integrating Methodsmentioning

confidence: 99%

Future directions for integrative objective assessment of eating using wearable sensing technology

Skinner¹,

Toumpakari²,

Stone³

et al. 2020

Preprint

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Established methods for nutritional assessment suffer from a number of important limitations. Diaries are burdensome to complete, food frequency questionnaires only capture average food intake, and both suffer from difficulties in self estimation of portion size and biases resulting from misreporting. Online and app versions of these methods have been developed, but issues with misreporting and portion size estimation remain. New methods utilising passive data capture are required that address reporting bias, extend timescales for data collection, and transform what is possible for measuring habitual intakes. Digital and sensing technologies are enabling the development of innovative and transformative new methods in this area that will provide a better understanding of eating behaviour and associations with health. In this article we describe how wrist-worn wearables, on-body cameras, and body-mounted biosensors can be used to capture data about when, what and how much people eat and drink. We illustrate how these new techniques can be integrated to provide complete solutions for the passive, objective assessment of a wide range of traditional dietary factors, as well as novel measures of eating architecture, within person variation in intakes, and food/nutrient combinations within meals. We also discuss some of the challenges these new approaches will bring.

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“…52 For food identification, dietitians attained 77.0% agreement with child/parent reporting of intake after seeing the images. 53 Under semi-laboratory conditions, mean relative error using a three-dimensional wire mesh procedure for estimating portion size was 2.8%. 46 Against manipulated food portion sizes, two dietitians using this three-dimensional wire mesh procedure attained intraclass correlation validity coefficients of 0.766 for volume served, 0.596 for volume left after intake and 0.677 for intake volume, but the engineers who helped create the wire mesh system did substantially better.…”

Section: New Developments In Behavior Measurement In Children and Youthmentioning

confidence: 95%

Advances and Controversies in Diet and Physical Activity Measurement in Youth

Spruijt‐Metz

Wen

Bell

et al. 2018

American Journal of Preventive Medicine

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

Cited by 21 publications

References 20 publications

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

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

Future directions for integrative objective assessment of eating using wearable sensing technology

Advances and Controversies in Diet and Physical Activity Measurement in Youth

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