Evidence map›Paper›PMID 28892068›Full record

ArticleTranslational psychiatry2017

Dysregulation of objectively assessed 24-hour motor activity patterns as a potential marker for bipolar I disorder: results of a community-based family study.

H Shou, L Cui, I Hickie, D Lameira, F Lamers, J Zhang, C Crainiceanu, V Zipunnikov, K R Merikangas

Open access · goldAbstract readComparative Study
In one paragraph

Article in Translational psychiatry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
3.8field-weighted citation impact, top 6% of its field
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

25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 52 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  4. Review
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  6. The effect of sleep-wake behaviors on the onset of mania in youth: A computational model.European psychiatry : the journal of the Association of European Psychiatrists · 2026
    Article
  7. Review
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  9. Similarity-based multimodal regression.Biostatistics (Oxford, England) · 2024
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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

9 authors at 6 institutions in 4 countries.

H ShouDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
L CuiGenetic Epidemiology Research Branch, Intramural Research Program, National Institute of Mental Health, Porter Neuroscience Research Center, Bethesda, MD, USA.
I HickieBrain and Mind Institute, University of Sydney, Sydney, NSW, Australia.
D LameiraGenetic Epidemiology Research Branch, Intramural Research Program, National Institute of Mental Health, Porter Neuroscience Research Center, Bethesda, MD, USA.
F LamersDepartment of Psychiatry, EMGO Institute for Health and Care Research, VU University Medical Centre, Amsterdam, The Netherlands.
J ZhangDepartment of Psychiatry, Chinese University of Hong Kong, Hong Kong, PRC.
C CrainiceanuDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
V ZipunnikovGenetic Epidemiology Research Branch, Intramural Research Program, National Institute of Mental Health, Porter Neuroscience Research Center, Bethesda, MD, USA.
K R MerikangasGenetic Epidemiology Research Branch, Intramural Research Program, National Institute of Mental Health, Porter Neuroscience Research Center, Bethesda, MD, USA.
National Institute of Mental Health · USJohns Hopkins University · USChinese University of Hong Kong · CNEMGO Institute for Health and Care Research · NLUniversity of Pennsylvania · USUniversity of Sydney · AU

Funding

Family Study of Affective and Anxiety Spectrum DisordersZIAMH002804 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI MERIKANGAS, KATHLEEN R · 2009 to 2025
$37.5M
Statistical Methods for Multilevel Multivariate Functional StudiesR01NS060910 · NINDS · JOHNS HOPKINS UNIVERSITY · PI Ciprian M Crainiceanu · 2009 to 2026
$8.3M
Family Study of Affective and Anxiety Spectrum DisordersZ01MH002804 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI MERIKANGAS, KATHLEEN R · 2003 to 2008
$4.2M
Statistical methods for biosignals with varying domainsR01HL123407 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI CRAINICEANU, CIPRIAN M · 2014 to 2017
$1.6M
Intramural NIH HHS Z01 MH002804NHLBI NIH HHS R01 HL123407NINDS NIH HHS R01 NS060910
6 · The paper itself

Abstract

There has been a growing number of studies that have employed actigraphy to investigate differences in motor activity in mood disorders. In general, these studies have shown that people with bipolar disorders (BPDs) tend to exhibit greater variability and less daytime motor activity than controls. The goal of this study was to examine whether patterns of motor activity differ in euthymic individuals across the full range of mood disorder subtypes (Bipolar I (BPI), Bipolar II (BPII) and major depression (MDD)) compared with unaffected controls in a community-based family study of mood spectrum disorders. Minute-to-minute activity counts derived from actigraphy were collected over a 2-week period for each participant. Prospective assessments of the level, timing and day-to-day variability of physical activity measures were compared across diagnostic groups after controlling for a comprehensive list of potential confounding factors. After adjusting for the effects of age, sex, body mass index (BMI) and medication use, the BPI group had lower median activity intensity levels across the second half of the day and greater variability in the afternoon compared with controls. Those with a history of BPII had increased variability during the night time compared with controls, indicating poorer sleep quality. No differences were found in the average intensity, variability or timing of activity in comparisons between other mood disorder subgroups and controls. Findings confirm evidence from previous studies that BPI may be a manifestation of a rhythm disturbance that is most prominent during the second half of the day. The present study is the largest study to date that included the full range of mood disorder subgroups in a nonclinical sample that increases the generalizability of our findings to the general community. The manifestations of activity patterns outside of acute episodes add to the accumulating evidence that dysregulation of patterns of activity may constitute a potential biomarker for BPD.

Indexed as

ActigraphyAdolescentAdultAgedAged, 80 and overBipolar DisorderChildCircadian RhythmFemaleHumansMajor Depressive DisorderMaleMiddle AgedMood DisordersMotor ActivityProspective Studies

Identifiers

PMID28892068
PMCPMC5611716
OpenAlexW2747130248

What OpenQuestion holds

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LicenceCC BY
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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.