ArticleBMC psychiatry2017
Variability of activity patterns across mood disorders and time of day.
Article in BMC psychiatry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01415323 (Agitation in the Acute Psychiatric Department), which is not on this map. Cited by 15 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Agitation in the Acute Psychiatric Department
Who cites it
15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 30 citations in OpenAlex.
- Association between Daily Pattern of Physical Activity and Depression: A Systematic Review.International journal of environmental research and public health · 2022Pooled it
- Toward a Digital Future in Bipolar Disorder Assessment: A Systematic Review of Disruptions in the Rest-Activity Cycle as Measured by Actigraphy.Frontiers in psychiatry · 2022Pooled it
- Validation of the English version of the Mood Rhythm Instrument.BMC psychology · 2020Trial
- Actigraphy assessment of motor activity and sleep in patients with alcohol withdrawal syndrome and the effects of intranasal oxytocin.PloS one · 2020Trial
- A dynamic perspective on clinical treatment evaluation using dynamic structural equation modeling.BMC medical research methodology · 2026Article
- Divergent behavioral strategies in Wistar and Wistar-Kyoto rats in a naturalistic task reveal mood disorder phenotypes.iScience · 2026Article
- Differential associations of passively sensed behaviors with in-vivo depression symptoms.Journal of psychopathology and clinical science · 2025Article
- Maximum and minimum activity in inpatient adolescents with Bipolar Disorders: Daily-Variability classification of actigraphy pattern with artificial intelligence.Psychiatry research communications · 2025Article
- Can daily actigraphic profiles distinguish between different mood states in inpatients with bipolar disorder? An observational study.Frontiers in psychiatry · 2023Article
- Actigraphic recording of motor activity in depressed inpatients: a novel computational approach to prediction of clinical course and hospital discharge.Scientific reports · 2020Article
- Effects of mood and aging on keystroke dynamics metadata and their diurnal patterns in a large open-science sample: A BiAffect iOS study.Journal of the American Medical Informatics Association : JAMIA · 2020Article
- Passive Sensing of Prediction of Moment-To-Moment Depressed Mood among Undergraduates with Clinical Levels of Depression Sample Using Smartphones.Sensors (Basel, Switzerland) · 2020Article
- Comparison of serum protein profiles between major depressive disorder and bipolar disorder.BMC psychiatry · 2020Article
- Diurnal variation of motor activity in adult ADHD patients analyzed with methods from graph theory.PloS one · 2020Article
- Applying machine learning in motor activity time series of depressed bipolar and unipolar patients compared to healthy controls.PloS one · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundFew actigraphy studies in mood disorders have simultaneously included unipolar (UP) and bipolar (BD) depression or BD mixed states as a separate subgroup from mania. This study compared objectively measured activity in UP, BD depression, mania and mixed states and examined if patterns differed according to time of day and/or diagnostic group.
methodsEighty -eight acutely admitted inpatients with mood disorders (52 UP; 18 mania; 12 BD depression; 6 mixed states) underwent 24 hours of actigraphy monitoring. Non-parametric analyses were used to compare median activity level over 24 h (counts per minute), two time series (64-min periods of continuous motor activity) in the morning and evening, and variability in activity across and within groups.
resultsThere was no between-group difference in 24-h median level of activity, but significant differences emerged between BD depression compared to mania in the active morning period, and between UP and mania and mixed states in the active evening period. Within-group analyses revealed that UP cases showed several significant changes between morning and evening activity, with fewer changes in the BD groups.
conclusionsMean activity over 24 hours has limited utility in differentiating UP and BD. In contrast, analysis of non-linear variability measures of activity at different times of day could help objectively distinguish between mood disorder subgroups.
trial registrationClinicalTrials.gov Identifier: NCT01415323 , first registration July 6, 2011.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.