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

Abstract

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.

Websearch-Daten als Gesundheitsdaten?

“…Denn nicht nur Suchmaschinendaten bieten die Möglichkeit, Informationen über Gesundheit und Krankheit in nahezu Echtzeit zu gewinnen. Crowdsourced Data, Informationen, die über partizipative Online-Plattformen, soziale Medien, Apps und Wearables sowie innovative Sensoren [ 17 , 27 ] gesammelt werden, spielen mittlerweile eine essenzielle Rolle und werden zur Analyse v. a. von Infektionskrankheiten [ 10 , 26 ] verwendet und bieten völlig neue Möglichkeiten, die Dynamik von Erkrankung bzw. Daten zur Gesundheit in Form von ständig aktuellen digitalen Karten zu untersuchen.…”

Characteristics of smartphone-based dietary assessment tools: a systematic review

“…Wearable technology such as smartwatches is increasingly used to capture food intake in daily life. For instance, smartwatches can be used to automatically detect eatingrelated wrist movements and so trigger an automated recording of the duration of the eating event, or an external assessment of eating behaviour and related variables of interest (see Skinner et al (163) and Bell, Alam (164) for reviews). Other studies test the use of body-worn cameras or sensors to assess food intake unobtrusively and trigger assessments, e.g., Chun et al (147); however, most of these sensors have only been used in laboratory settings or small pilot studies, and their accuracy in assessing food intake, especially without additional human input, is still limited (32).…”

Exploring the factors influencing adoption of health-care wearables among generation Z consumers in India

“…An individual signalling higher SWIN towards health wearables would increasingly devote more time towards fitness-related activities that affected an individual positively (Li et al , 2015). Such individuals would constantly analyse their daily set of activities as well as work on their food consumption quality for a healthy lifestyle (Li et al , 2018; Skinner et al , 2020).…”