Using Smartphones to Monitor Bipolar Disorder Symptoms: A Pilot Study

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Using Smartphones to Monitor Bipolar Disorder Symptoms: A Pilot Study is …
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scholarly articleQ13442814

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P356DOI10.2196/MENTAL.4560
P3181OpenCitations bibliographic resource ID476108
P932PMC publication ID4720836
P698PubMed publication ID26740354
P5875ResearchGate publication ID289512938

P50authorWulf RösslerQ15855147
Guido BarbianQ96193477
Till BeiwinkelQ88322392
Sally KindermannQ96193472
Andreas MaierQ96193473
Christopher KerlQ96193474
Jörn MoockQ96193476
P2093author name stringJörn Moock
Andreas Maier
Christopher Kerl
Guido Barbian
Sally Kindermann
Till Beiwinkel
P2860cites workA rating scale for depressionQ24564540
No health without mental healthQ28246161
A rating scale for mania: reliability, validity and sensitivityQ29619299
A solution to dependency: using multilevel analysis to accommodate nested dataQ30786236
Smartphone data as objective measures of bipolar disorder symptomsQ30788310
Smartphone ownership and interest in mobile applications to monitor symptoms of mental health conditionsQ33441427
A prospective study of the trajectories of clinical insight, affective symptoms, and cognitive ability in bipolar disorderQ33570783
Mobile interventions for severe mental illness: design and preliminary data from three approachesQ33710547
Historical perspectives and natural history of bipolar disorderQ33920209
A systematic review of manic and depressive prodromesQ33965930
A review of the health-related quality of life literature in bipolar disorderQ34408428
Treatment research in bipolar disorder: issues and recommendationsQ34969649
Diagnostic issues in bipolar disorderQ35212740
Assessment tools for screening and monitoring bipolar disorderQ36068762
A Pilot Study of Mood Ratings Captured by Mobile Phone Versus Paper-and-Pencil Mood Charts in Bipolar Disorder.Q36807316
The disaggregation of within-person and between-person effects in longitudinal models of changeQ37540077
Mood disorders in everyday life: a systematic review of experience sampling and ecological momentary assessment studiesQ38020645
Functional impairment as a predictor of short-term symptom course in bipolar I disorderQ40104223
Severity classification on the Hamilton Depression Rating ScaleQ43656374
The lifetime cost of bipolar disorder in the US: an estimate for new cases in 1998.Q43682742
Psychomotor activity in unipolar and bipolar depressive patientsQ44836555
Subjective distress predicts treatment seeking for depression, bipolar, anxiety, panic, neurasthenia and insomnia severity spectraQ45099102
The long-term natural history of the weekly symptomatic status of bipolar I disorderQ46317822
Using technology to improve longitudinal studies: self-reporting with ChronoRecord in bipolar disorderQ48600493
Toward a re-definition of subthreshold bipolarity: epidemiology and proposed criteria for bipolar-II, minor bipolar disorders and hypomania.Q51032804
Nonlinear time-series approaches in characterizing mood stability and mood instability in bipolar disorder.Q51539330
[Reliability and concordance validity of a German version of the Young Mania Rating Scale (YMRS-D)].Q53083112
Social fMRI: Investigating and shaping social mechanisms in the real worldQ56672342
Social support and self-esteem predict changes in bipolar depression but not maniaQ60622665
Lifetime rates of suicide attempts among subjects with bipolar and unipolar disorders relative to subjects with other Axis I disordersQ71660671
Medication compliance in patients with bipolar disorderQ71838813
P433issue1
P407language of work or nameEnglishQ1860
P921main subjectsmartphoneQ22645
bipolar disorderQ131755
P304page(s)e2
P577publication date2016-01-06
P1433published inJMIR Mental HealthQ27726522
P1476titleUsing Smartphones to Monitor Bipolar Disorder Symptoms: A Pilot Study
P478volume3