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Conference object . 2021
License: CC BY
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Conference object . 2021
License: CC BY
Data sources: Datacite
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Other literature type . 2021
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Exploring Attitudes and Perceptions of the Digital Human Body and mHealth apps for Weight Loss: A Thematic Analysis

Authors: Taylor, Lauren;

Exploring Attitudes and Perceptions of the Digital Human Body and mHealth apps for Weight Loss: A Thematic Analysis

Abstract

To explore non-users perceptions of a realistic and tailored representation of an anatomical body (Digital Twin), which provides normative and risk information on a mobile health app. The aim was to investigate potential mechanisms important for behaviour change (particularly weight management). Design A qualitative methodology was used to explore the experiences of people, in this case non-users wanting to self-manage their health. Method Semi-structured interviews were carried out using Zoom. An explorative and participant-led approach was taken to allow the participant to express what was important to them. Twenty participants who had not used the Digital twin were recruited (13 females and 7 males; mean age was 30). The interviews were transcribed verbatim and analysed using Thematic Analysis. Results Four main themes were developed: Psychosocial initiators of behaviour change (health beliefs and social support); psychosocial facilitators or maintenance of behaviour (usefulness, cues to action and tailoring); barriers to mHealth app use (biases and sharing information); barriers to maintenance of behaviour change (adverse reactions, loss of motivation and sociocultural factors). The results will inform the design of an intervention for weight loss using the Digital Twin. Conclusion Overall, the participants responded positively to the concept of the Digital Twin. It was suggested that the Digital Twin should be tailored to represent their personalised health information and BMI. These results will feed into an intervention designed to use the Digital Twin to initiate and maintain weight behaviour change and will further our understanding of using such technology in behaviour change.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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