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Quantified-self for obesity : physical activity behaviour sensing to improve health outcomes
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Taylor, David F., Murphy, Jennifer, Ahmad, Mian, Purkayastha, Sanjay, Scholtz, Samantha, Ramezani, Ramin, Vlaev, Ivo, Blakemore, Alexandra I. F. and Darzi, Ara (2016) Quantified-self for obesity : physical activity behaviour sensing to improve health outcomes. In: Medicine Meets Virtual Reality. Studies in Health Technology and Informatics, 220 . IOS Press, pp. 414-416.
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Official URL: http://doi.org/10.3233/978-1-61499-625-5-414
Abstract
Physical activity levels in bariatric patients have not been well documented, despite their importance in maintaining weight loss following surgery. This study investigated the feasibility of tracking physical activity using a smartphone app with minimal user interaction. Thus far, we have obtained good quality data from 255 patients at various points in their weight loss journey. Preliminary analyses indicate little change in physical activity levels following surgery with pre-surgery patients reaching an average of 16 minutes per day and post-surgery patients achieving a daily average of 21 minutes. Further analyses using machine-learning techniques will be conducted to determine whether physical activity is a critical factor in distinguishing between successful and unsuccessful weight loss outcomes and in the resolution of comorbid conditions in patients with similar clinical profiles.
Item Type: | Book Item | ||||
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Divisions: | Faculty of Social Sciences > Warwick Business School > Behavioural Science Faculty of Social Sciences > Warwick Business School |
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Series Name: | Studies in Health Technology and Informatics | ||||
Publisher: | IOS Press | ||||
Book Title: | Medicine Meets Virtual Reality | ||||
Official Date: | 2016 | ||||
Dates: |
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Volume: | 220 | ||||
Page Range: | pp. 414-416 | ||||
DOI: | 10.3233/978-1-61499-625-5-414 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Restricted or Subscription Access |
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