Evidence map›Paper›PMID 34358763›Full record

ArticleSchizophrenia research2021

Eveningness chronotype preference among individuals at clinical high risk for psychosis.

Jessica R Lunsford-Avery, Andrea Pelletier-Baldelli, Stephanie A Korenic, Jason Schiffman, Lauren M Ellman, Leah Jackson, Vijay A Mittal

Open access · bronzeAbstract read
In one paragraph

Article in Schizophrenia research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
1.3field-weighted citation impact, top 20% 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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Observational
  4. Article
  5. Role of chronotype in depression.World journal of psychiatry · 2025
    Review
  6. Review
  7. Article
  8. Article
  9. Review
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

7 authors at 5 institutions in 1 country.

Jessica R Lunsford-AveryDuke University School of Medicine, Department of Psychiatry and Behavioral Sciences, Durham, NC, USA. Electronic address: jessica.r.avery@duke.edu.
Andrea Pelletier-BaldelliUniversity of North Carolina Chapel Hill, Department of Psychiatry, Chapel Hill, NC, USA.
Stephanie A KorenicTemple University, Department of Psychology, Philadelphia, PA, USA.
Jason SchiffmanUniversity of Maryland Baltimore County, Department of Psychology, Baltimore, MD, USA.
Lauren M EllmanTemple University, Department of Psychology, Philadelphia, PA, USA.
Leah JacksonDuke University School of Medicine, Department of Psychiatry and Behavioral Sciences, Durham, NC, USA.
Vijay A MittalNorthwestern University, Department of Psychology, Evanston, IL, USA; Northwestern University, Department of Psychiatry, Evanston, IL, USA; Northwestern University, Institute for Policy Research, Evanston, IL, USA; Northwestern University, Department of Medical Social Science, Evanston, IL, USA.
Duke University · USTemple University · USNorthwestern University · USUniversity of Maryland, Baltimore County · USUniversity of North Carolina at Chapel Hill · US

Funding

Human Development: Interdisiplinary Research TrainingT32HD007376 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BELGER, AYSENIL, PROPPER, CATHI BARBRA · 1988 to 2020
$8.0M
Prodromal Inventory for Negative Symptoms (PINS): A Development and Validation StudyR01MH116039 · NIMH · UNIVERSITY OF GEORGIA · PI MITTAL, VIJAY A, STRAUSS, GREGORY P · 2019 to 2023
$3.1M
2/5 CAPER Computerized assessment of psychosis riskR01MH120088 · NIMH · NORTHWESTERN UNIVERSITY · PI MITTAL, VIJAY A · 2020 to 2024
$2.0M
1/3-Community Psychosis Risk Screening: An Instrument Development Study SupplementR01MH112613 · NIMH · TEMPLE UNIV OF THE COMMONWEALTH · PI ELLMAN, LAUREN M · 2017 to 2022
$1.8M
CAPER: Computerized Assessment of Psychosis Risk SupplementR01MH120091 · NIMH · TEMPLE UNIV OF THE COMMONWEALTH · PI ELLMAN, LAUREN M · 2020 to 2024
$1.6M
Administrative Supplement - 3/3: Community Psychology Risk Screening: An Instrument Development StudyR01MH112612 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE COUNTY · PI PITTS, STEVEN C, SCHIFFMAN, JASON E · 2017 to 2022
$1.3M
2/3 Community psychosis risk screening: An instrument development studyR01MH112545 · NIMH · NORTHWESTERN UNIVERSITY · PI MITTAL, VIJAY A · 2017 to 2021
$1.2M
Biostatistics and Mental Health Neuroimaging and Genomics Training GrantT32MH106440 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GILMORE, JOHN HORACE, KOSOROK, MICHAEL R · 2015 to 2019
$970k
Sleep Dysfunction and Neurocognitive Outcomes in Adolescent ADHDK23MH108704 · NIMH · DUKE UNIVERSITY · PI LUNSFORD-AVERY, JESSICA RUTH · 2016 to 2022
$837k
Social Work Training to Reduce Duration of Untreated PsychosisR34MH110506 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE · PI BUCHANAN, ROBERT W, DEVYLDER, JORDAN · 2017 to 2019
$681k
NICHD NIH HHS T32 HD007376NIMH NIH HHS K23 MH108704NIMH NIH HHS R01 MH112545NIMH NIH HHS R01 MH112612NIMH NIH HHS R01 MH112613NIMH NIH HHS R01 MH116039NIMH NIH HHS R01 MH120088NIMH NIH HHS R01 MH120091NIMH NIH HHS R34 MH110506NIMH NIH HHS T32 MH106440
6 · The paper itself

Abstract

backgroundCircadian rhythm disturbances are frequently implicated in psychosis. Indeed, research has suggested several avenues by which circadian rhythms may play a mechanistic role as well as contribute to clinical outcomes. Despite its potential role as a risk factor, little is known about circadian rhythm disruption among individuals at clinical high risk (CHR) for psychosis, clinical correlates, or specificity to the psychosis risk syndrome.

methodsEighty-four CHR, 74 individuals with depressive disorders (DD), and 101 non-psychiatric controls (NPC) participated in structured clinical interviews and provided self-reports of chronotype preference. Clinical (positive, negative, anxious, and depressive symptoms) and social functioning outcomes were self-reported and/or clinician-rated. Analyses of covariance controlling for demographics examined group differences in chronotype preference, and partial Pearson correlations evaluated associations with clinical/functional outcomes.

resultsGroup differences were observed (F(11, 246) = 8.05, p < .001) with CHR and DD individuals indicating greater eveningness preference compared to NPC. A follow-up sensitivity analysis examining CHR participants with (n = 25) and without (n = 59) depressive disorders indicated no difference in chronotype preference (F(10,72) = 0.00, p = .99). Greater eveningness preference was related to greater negative symptoms (i.e., avolition; r = -0.25) and anxiety (r = -0.34) among CHR individuals.

conclusionsCHR and DD display greater preference for eveningness chronotype compared to NPC indicating the disruption is associated with a range of mental health concerns, and not specific to the psychosis-risk syndrome. However, comorbidity with DD did not appear to be driving the finding in the CHR group. Further research may examine shared versus non-shared underlying mechanisms contributing to chronotype preference across psychiatric presentations.

Indexed as

Circadian RhythmPsychotic DisordersAnxietyHumansRisk FactorsSelf ReportSleepSurveys and QuestionnairesChronotypeCircadian rhythmsClinical high riskDiurnal preferencePsychosisSchizophrenia

Identifiers

PMID34358763
PMCPMC8464500
OpenAlexW3189353994

What OpenQuestion holds

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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.