Smartphone data as objective measures of bipolar disorder symptoms
Open accessAbstract
The daily electronic self-monitoring Smartphone software "MONARCA" was used by 17 patients with bipolar disorder for 3 consecutive months. Patients were rated fortnightly using Hamilton Depression rating Scale 17 items (HDRS-17) and Young Mania rating Scale (YMRS) (102 ratings) with blinding for Smartphone data. Objective Smartphone measures such as physical and social activity correlated with clinically rated depressive symptoms. Self-monitored depressive symptoms correlated significantly with HDRS-17 items score.
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Studies conducted with patients with depression have mostly relied on self-report questionnaires to assign diagnoses and/or measure variation in symptoms and train the models.
“Those studies conducted with patients with depression have mostly relied on self-report questionnaires to assign diagnoses and/or measure variation in symptoms and train the models.”
From Monitoring Changes in Depression Severity Using Wearable and Mobile Sensors (2020) · cites this paper as [16]
Prior investigations have primarily focused on detecting presence or absence of depression rather than on assessing its severity, and they have shown overall low accuracy.
“This has resulted in possible reliability problems, since these investigations have primarily focused on detecting presence or absence of depression rather than on assessing its severity, and they have shown overall low accuracy (14–18, 23–27).”
From Monitoring Changes in Depression Severity Using Wearable and Mobile Sensors (2020) · cites this paper as [16]
Severe depressive symptoms are associated with shorter duration of incoming and outgoing calls, and fewer incoming and outgoing phone calls and daily text messages.
“recent work shows that severe depressive symptoms are associated with shorter duration of incoming and outgoing calls, and fewer incoming and outgoing phone calls and daily text messages (13–18).”
From Monitoring Changes in Depression Severity Using Wearable and Mobile Sensors (2020) · cites this paper as [16]
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References 18 · Cited by 185
- Authors
- Faurholt-Jepsen, M., Frost, M., Vinberg, M., Christensen, E. M., Bardram, J. E., & Kessing, L. V.
- Affiliations
- IT University of Copenhagen (DK)
- Venue
- Psychiatry Research
- Publisher
- Elsevier BV
- Published
- 2014-06
- Volume
- 217
- Issue
- 1-2
- Pages
- 124-127
- ISSN
- 0165-1781 (ISSN-L)
- OpenAlex
- W2088616391
- Cited by
- 185
- References
- 18
- Citations by year
- 2026: 8 · 2025: 5 · 2024: 15 · 2023: 4 · 2022: 11 · 2021: 22 · 2020: 23 · 2019: 17 · 2018: 21 · 2017: 17 · 2016: 16 · 2015: 24 · 2014: 2
- FWCI
- 15.02
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Psychiatry Research (publishedVersion)
- PubMed (publishedVersion)
- IT University Of Copenhagen (IT University of Copenhagen) (acceptedVersion, other-oa)
- Research at the University of Copenhagen (University of Copenhagen) (submittedVersion)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Bipolar Disorder and Treatment
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Keywords
- bipolar disorder, smartphone data, depressive symptoms, mania, physical activity, social activity
- MeSH terms
- Adult, Bipolar Disorder, Depression, Female, Humans, Male, Psychiatric Status Rating Scales, Software, Computers, Handheld, Cell Phone
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