ArticleBipolar disorders2021
A digital self-report survey of mood for bipolar disorder.
Article in Bipolar disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Methodological Characteristics and Feasibility of Ecological Momentary Assessment Studies in Psychosis: a Systematic Review and Meta-Analysis.Schizophrenia bulletin · 2024Pooled it
- Digital tools for assessing bipolar disorder: A scoping review of the current landscape.Neuroscience applied · 2026Article
- Feasibility and accuracy of the ASERT digital questionnaire in mood tracking for a longitudinal research study on bipolar disorder.Journal of mood and anxiety disorders · 2025Article
- The Dynamics of Mood in Bipolar Disorder: How Mathematical Models Help Phenotype Individuals, Forecast Mood, and Clarify Underlying Mechanisms.Current psychiatry reports · 2025Review
- A feasibility study of digital self-report measurement for brain injury patients utilizing an adapted version of the Mayo-Portland Adaptability Inventory - fourth edition.Journal of rehabilitation medicine · 2025Article
- Digital Phenotyping for Mood Disorders: Methodology-Oriented Pilot Feasibility Study.Journal of medical Internet research · 2023Article
- Mobile Acceptance and Commitment Therapy in Bipolar Disorder: Microrandomized Trial.JMIR mental health · 2023Article
- Dynamics of data-driven microstates in bipolar disorder.Journal of psychiatric research · 2021Article
- Emotion Recognition in the Real-World: Passively Collecting and Estimating Emotions from Natural Speech Data of Individuals with Bipolar Disorder.IEEE transactions on affective computingArticle
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
objectivesBipolar 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 (R
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.
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