Evidence map›Paper›PMID 29705489›Full record

ArticleJournal of psychiatric research2018

Rest-activity rhythm profiles associated with manic-hypomanic and depressive symptoms.

Stephen F Smagula, Robert T Krafty, Julian F Thayer, Daniel J Buysse, Martica H Hall

Abstract read
In one paragraph

Article in Journal of psychiatric research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

23 citing papers in PubMed, 39 citations in OpenAlex.

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  3. Precision sleep signatures to predict mental health outcomes in youth.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2026
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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

5 authors at 2 institutions in 1 country.

Stephen F SmagulaDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA. Electronic address: smagulasf@upmc.edu.
Robert T KraftyDepartment of Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA.
Julian F ThayerDepartment of Psychology, The Ohio State University, Columbus, OH, USA.
Daniel J BuysseDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Martica H HallDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
University of Pittsburgh · USThe Ohio State University · US

Funding

Translational Research Training in Sleep MedicineT32HL082610 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Daniel J. Buysse, PETER L FRANZEN · 2007 to 2026
$5.8M
Sleep: A Novel Pathway Linking Major Depression and Cardiovascular DiseaseR01HL104607 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HALL, MARTICA HELON · 2010 to 2013
$2.8M
A Statistical Framework for the Spectral Analysis of High-Dimensional Physiological Time Series SignalsR01GM113243 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KRAFTY, ROBERT T · 2014 to 2020
$2.0M
Depression in dementia caregivers: Linking brain structure and sleep-wake risksK01MH112683 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SMAGULA, STEPHEN F · 2017 to 2021
$875k
NHLBI NIH HHS R01 HL104607NHLBI NIH HHS T32 HL082610NIGMS NIH HHS R01 GM113243NIMH NIH HHS K01 MH112683
6 · The paper itself

Abstract

Rest-activity rhythm (RAR) disturbances are associated with mood disorders. But there remains a need to identify the particular RAR profiles associated with psychiatric symptom dimensions. Establishing such profiles would support the development of tools that track the 24-h sleep-wake phenotypes signaling clinical heterogeneity. We used data-driven clustering to identify RAR profiles in 145 adults aged 36-82 years (mean = 60, standard deviation = 9). Then we evaluated psychiatric symptom dimensions (including positive and negative affect, depressive, manic-hypomanic, panic-agoraphobic, and substance use symptoms) associated with these empirically-derived RAR profiles. Clustering identified three sub-groups characterized, on average, by: (1) earlier and more robust RARs ("earlier/robust," n = 55, 38%); (2) later and irregular RARs ("later/irregular," n = 31, 21%); and (3) later RARs and a narrower active period ("later/narrower," n = 59, 41%). Compared with the "earlier/robust" group: the "later/irregular" group had higher levels of lifetime manic-hypomanic symptoms (β (standard error) = 0.80 (0.22) higher standardized symptom units, p = 0.0004) and lifetime depression symptoms (β (standard error) = 0.73 (0.21) higher standardized symptom units, p = 0.0009); the "later/narrower" group had more lifetime depression symptoms (β (standard error) = 0.48 (0.18) higher standardized symptom units, p = 0.0076). These associations persisted after adjustments for sleep continuity and duration, suggesting that RARs are distinct behavioral correlates of clinical heterogeneity. Longitudinal studies are needed to confirm whether RAR characteristics contribute to the risk of manic and/or depressive episodes, and whether they reflect the consequences of psychiatric disturbance (e.g., on quality of life or disability). Opportunities to monitor or intervene on objectively-assessed RARs could facilitate better mental health related outcomes.

Indexed as

RestActigraphyAdultAgedAged, 80 and overBipolar DisorderChronobiology DisordersFemaleHumansLongitudinal StudiesMaleMiddle AgedPsychiatric Status Rating ScalesRetrospective StudiesCluster analysisDepressionMania symptomsRest-activitySleep-wake

Identifiers

PMID29705489
PMCPMC6005763
OpenAlexW2802489121

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.