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dc.contributor.author
Brügger, Victoria
dc.contributor.author
Kowatsch, Tobias
dc.date.accessioned
2024-06-24T05:56:25Z
dc.date.available
2024-06-21T08:49:15Z
dc.date.available
2024-06-24T05:48:46Z
dc.date.available
2024-06-24T05:56:25Z
dc.date.issued
2024-04-15
dc.identifier.other
10.2196/preprints.59539
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/679451
dc.description.abstract
Background: Metabolic diseases, such as cardiovascular diseases and diabetes, contribute significantly to global mortality and disability. Wearable devices and smartphones increasingly track physiological and lifestyle risk factors and can improve the management of metabolic diseases. However, the absence of clear guidelines for deriving meaningful signals from these devices often hampers cross-study comparisons. Objective: Thus, this scoping review protocol aims to systematically overview the current empirical literature on how wearables and smartphones are used to measure modifiable risk factors associated with metabolic diseases. Methods: We will conduct a scoping review to overview how wearables and smartphones measure modifiable risk factors related to metabolic diseases. We will search six databases (Scopus, Web of Science, ScienceDirect, PubMed, ACM Digital Library, and IEEE Xplore) from 2019 to 2024, with search terms related to wearables, smartphones, and modifiable risk factors associated with metabolic diseases. We will apply the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) and Arksey and O'Malley's scoping review methodology. Eligible studies will use smartphones and/or wearables (worn on the wrist, finger, arm, hip, and chest) to track physiological and/or lifestyle factors related to metabolic diseases. Two reviewers will independently screen articles for inclusion. Data will be extracted using a standardized form, and the findings will be synthesized and reported qualitatively and quantitatively. Results: The study is expected to identify potential gaps in measuring modifiable risk factors in current digital metabolic health research. Results are expected to inform more standardized guidelines on wearable and smartphone-based measurements to aid cross-study comparison. The final report is planned for submission to an indexed journal. Conclusions: This review is among the first to systematically overview the current landscape on how wearables and smartphones are used to measure modifiable risk factors associated with metabolic diseases.
en_US
dc.language.iso
en
en_US
dc.publisher
JMIR Publications
en_US
dc.subject
Wearables
en_US
dc.subject
Smartphones
en_US
dc.subject
mHealth
en_US
dc.subject
Metabolic diseases
en_US
dc.subject
Risk factors
en_US
dc.subject
Lifestyle
en_US
dc.subject
Physiological
en_US
dc.title
Wearables and smartphones for modifiable risk factors in metabolic health: a scoping review protocol
en_US
dc.type
Working Paper
ethz.journal.title
JMIR Preprints
ethz.size
16 p.
en_US
ethz.publication.place
Toronto
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02120 - Dep. Management, Technologie und Ökon. / Dep. of Management, Technology, and Ec.
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02120 - Dep. Management, Technologie und Ökon. / Dep. of Management, Technology, and Ec.::03681 - Fleisch, Elgar / Fleisch, Elgar
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02120 - Dep. Management, Technologie und Ökon. / Dep. of Management, Technology, and Ec.::03995 - von Wangenheim, Florian / von Wangenheim, Florian
en_US
ethz.date.deposited
2024-06-21T08:49:15Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2024-06-24T05:48:47Z
ethz.rosetta.lastUpdated
2024-06-24T05:48:47Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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