Evidence map›Paper›PMID 31801608›Full record

ArticleBMC research notes2019

Use of ecological momentary assessment to detect variability in mood, sleep and stress in bipolar disorder.

Han Li, Dahlia Mukherjee, Venkatesh Basappa Krishnamurthy, Caitlin Millett, Kelly A Ryan, Lijun Zhang, Erika F H Saunders, Ming Wang

Abstract read
In one paragraph

Article in BMC research notes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Han LiDepartment of Public Health Science, Penn State College of Medicine, Penn State Milton S. Hershey Medical Center, 90 Hope Drive, Hershey, PA, 17033, USA.
Dahlia MukherjeeDepartment of Psychiatry, Penn State College of Medicine, Penn State Milton S. Hershey Medical Center, Hershey, PA, USA.
Venkatesh Basappa KrishnamurthyDepartment of Psychiatry, Penn State College of Medicine, Penn State Milton S. Hershey Medical Center, Hershey, PA, USA.
Caitlin MillettDepartment of Psychiatry, Penn State College of Medicine, Penn State Milton S. Hershey Medical Center, Hershey, PA, USA.
Kelly A RyanDepartment of Psychiatry, University of Michigan Medical School, Ann Arbor, MI, USA.
Lijun ZhangInstitute of Personalized Medicine, Penn State College of Medicine, Penn State Milton S. Hershey Medical Center, Hershey, PA, USA.
Erika F H SaundersDepartment of Psychiatry, Penn State College of Medicine, Penn State Milton S. Hershey Medical Center, Hershey, PA, USA.
Ming WangDepartment of Public Health Science, Penn State College of Medicine, Penn State Milton S. Hershey Medical Center, 90 Hope Drive, Hershey, PA, 17033, USA. mwang@phs.psu.edu.ORCID http://orcid.org/0000-0002-9977-7041

Funding

Penn State Clinical and Translational Science InstituteUL1TR002014 · NCATS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI KRASCHNEWSKI, JENNIFER L. · 2016 to 2025
$33.7M
Penn State Clinical and Translational Science InstituteUL1TR000127 · NCATS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI SINOWAY, LAWRENCE I · 2012 to 2015
$17.1M
Penn State Institutional Career Development CoreKL2TR002015 · NCATS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI VAN SCOY, LAUREN JODI · 2016 to 2025
$7.8M
NCATS NIH HHS KL2 TR002015NCATS NIH HHS UL1 TR000127NCATS NIH HHS UL1 TR002014
6 · The paper itself

Abstract

objectiveOur aim was to study within-person variability in mood, cognition, energy, and impulsivity measured in an Ecological Momentary Assessment paradigm in bipolar disorder by using modern statistical techniques. Exploratory analyses tested the relationship between bipolar disorder symptoms and hours of sleep, and levels of pain, social and task-based stress. We report an analysis of data from a two-arm, parallel group study (bipolar disorder group N = 10 and healthy control group N = 10, with 70% completion rate of 14-day surveys). Surveys of bipolar disorder symptoms, social stressors and sleep hours were completed on a smartphone at unexpected times in an Ecological Momentary Assessment paradigm twice a day. Multi-level models adjusted for potential subject heterogeneity were adopted to test the difference between the bipolar disorder and health control groups.

resultsWithin-person variability of mood, energy, speed of thoughts, impulsivity, pain and perception of skill of tasks was significantly higher in the bipolar disorder group compared to health controls. Elevated bipolar disorder symptom domains in the evening were associated with reduced sleep time that night. Stressors were associated with worsening of bipolar disorder symptoms. Detection of symptoms when an individual is experiencing difficulty allows personalized, focused interventions.

Indexed as

AffectEcological Momentary AssessmentSleepStress, PsychologicalBipolar DisorderHumansPainPatient ComplianceSelf ReportSmartphoneAffective disordersEcological Momentary AssessmentManiaMood disordersMultilevel modelsSubject heterogeneity

Identifiers

PMID31801608
PMCPMC6894147

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Registered trials

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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.