Journal article
Daily longitudinal self-monitoring of mood variability in bipolar disorder and borderline personality disorder
- Abstract:
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Background
Traditionally, assessment of psychiatric symptoms has been relying on their retrospective report to a trained interviewer. The emergence of smartphones facilitates passive sensor-based monitoring and active real-time monitoring through time-stamped prompts; however there are few validated self-report measures designed for this purpose.
Methods
We introduce a novel, compact questionnaire, Mood Zoom (MZ), embedded in a customized smartphone application. MZ...
Expand abstract
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
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(Accepted manuscript, pdf, 1.6MB)
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- Publisher copy:
- 10.1016/j.jad.2016.06.065
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Authors
Funding
+ Research Councils UK Digital Economy Programme
More from this funder
Funding agency for:
Osipov, M
Grant:
EP/G036861/1
+ Research Councils UK Digital Economy Programme
More from this funder
Funding agency for:
Palmius, N
Grant:
EP/G036861/1
Bibliographic Details
- Publisher:
- Elsevier Publisher's website
- Journal:
- Journal of Affective Disorders Journal website
- Volume:
- 205
- Pages:
- 225-233
- Publication date:
- 2016-06-01
- Acceptance date:
- 2016-06-30
- DOI:
- ISSN:
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1573-2517
- Source identifiers:
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631701
Item Description
- Keywords:
- Pubs id:
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pubs:631701
- UUID:
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uuid:8773eed7-5d0a-4f05-a0e0-0cc4380beec3
- Local pid:
- pubs:631701
- Deposit date:
- 2016-07-04
Terms of use
- Copyright holder:
- de Vos et al
- Copyright date:
- 2016
- Notes:
- © 2016 The Authors. Published by Elsevier B.V. Open Access funded by Wellcome Trust under a Creative Commons license
- Licence:
- CC Attribution (CC BY)
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