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A digital self- report survey of mood for bipolar disorder
dc.contributor.authorSagorac Gruichich, Tijana
dc.contributor.authorDavid Gomez, Juan Camilo
dc.contributor.authorZayas-Cabán, Gabriel
dc.contributor.authorMcInnis, Melvin G.
dc.contributor.authorCochran, Amy L.
dc.date.accessioned2022-01-06T15:49:39Z
dc.date.available2023-01-06 10:49:39en
dc.date.available2022-01-06T15:49:39Z
dc.date.issued2021-12
dc.identifier.citationSagorac Gruichich, Tijana; David Gomez, Juan Camilo; Zayas-Cabán, Gabriel ; McInnis, Melvin G.; Cochran, Amy L. (2021). "A digital self- report survey of mood for bipolar disorder." Bipolar Disorders (8): 810-820.
dc.identifier.issn1398-5647
dc.identifier.issn1399-5618
dc.identifier.urihttps://hdl.handle.net/2027.42/171181
dc.description.abstractObjectivesBipolar disorder (BP) is commonly researched in digital settings. As a result, standardized digital tools are needed to measure mood. We sought to validate a new survey that is brief, validated in digital form, and able to separately measure manic and depressive severity.MethodsWe introduce a 6- item digital survey, called digiBP, for measuring mood in BP. It has three depressive items (depressed mood, fidgeting, fatigue), two manic items (increased energy, rapid speech), and one mixed item (irritability); and recovers two scores (m and d) to measure manic and depressive severity. In a secondary analysis of individuals with BP who monitored their symptoms over 6 weeks (n = 43), we perform a series of analyses to validate the digiBP survey internally, externally, and as a longitudinal measure.ResultsWe first verify a conceptual model for the survey in which items load onto two factors (- manic- and - depressive- ). We then show weekly averages of m and d scores from digiBP can explain significant variation in weekly scores from the Young Mania Rating Scale (R2 = 0.47) and SIGH- D (R2 = 0.58). Lastly, we examine the utility of the survey as a longitudinal measure by predicting an individual- s future m and d scores from their past m and d scores.ConclusionsWhile further validation is warranted in larger, diverse populations, these validation analyses should encourage researchers to consider digiBP for their next digital study of BP.
dc.publisherWiley Periodicals, Inc.
dc.publisherOxford University Press
dc.subject.othersurveys and questionnaires
dc.subject.otherdigital research
dc.subject.otherMania
dc.subject.othermood
dc.subject.otherbipolar disorder
dc.subject.otherdepression
dc.titleA digital self- report survey of mood for bipolar disorder
dc.typeArticle
dc.rights.robotsIndexNoFollow
dc.subject.hlbsecondlevelPsychology
dc.subject.hlbtoplevelSocial Sciences
dc.description.peerreviewedPeer Reviewed
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/171181/1/bdi13058.pdf
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/171181/2/bdi13058_am.pdf
dc.identifier.doi10.1111/bdi.13058
dc.identifier.sourceBipolar Disorders
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dc.owningcollnameInterdisciplinary and Peer-Reviewed


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