Evidence map›Paper›PMID 26888592›Full record

ArticleJournal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine2016

Subjective and Objective Measures of Hypersomnolence Demonstrate Divergent Associations with Depression among Participants in the Wisconsin Sleep Cohort Study.

David T Plante, Laurel A Finn, Erika W Hagen, Emmanuel Mignot, Paul E Peppard

Open access · bronzeAbstract read
In one paragraph

Article in Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
5.8field-weighted citation impact, top 5% 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, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Pathophysiological Models of Hypersomnolence Associated With Depression.Biological psychiatry global open science · 2025
    Review
  7. Age modulates the predictive value of self-reported sleepiness for all-cause mortality risk: insights from a comprehensive national database of veterans.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2024
    Article
  8. Article
  9. Article
  10. Self-reported symptoms and objective measures in idiopathic hypersomnia and hypersomnia associated with psychiatric disorders: a prospective cross-sectional study.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2022
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Periodic limb movements in sleep: Prevalence and associated sleepiness in the Wisconsin Sleep Cohort.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2018
    Article
  16. Article
  17. The MSLT is Repeatable in Narcolepsy Type 1 But Not Narcolepsy Type 2: A Retrospective Patient Study.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2018
    Article
  18. Idiopathic Hypersomnia.Sleep medicine clinics · 2017
    Review
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

David T PlanteDepartment of Psychiatry, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI.
Laurel A FinnDepartment of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI.
Erika W HagenDepartment of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI.
Emmanuel MignotStanford University Center for Sleep Sciences, Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Palo Alto, CA.
Paul E PeppardDepartment of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI.
University of Wisconsin–Madison · USStanford University · US

Funding

Institutional Clinical and Translational Science AwardUL1TR000427 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2012 to 2016
$32.2M
INSTITUTIONAL CTSA (UW-MADISON): CLINICAL TRIALSUL1RR025011 · NCRR · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2007 to 2011
$29.5M
SPECTRUM OF NARCOLEPSY AND ITS SYMPTOMSP50NS023724 · NINDS · STANFORD UNIVERSITY · PI MIGNOT, EMMANUEL J · 1986 to 2016
$18.9M
EPIDEMIOLOGY OF SLEEP-DISORDERED BREATHING IN ADULTSR01HL062252 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI PEPPARD, PAUL E · 1999 to 2013
$14.1M
The REST Study: A Longitudinal, Bidirectional Examination of Retirement And SleepR01AG036838 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI PEPPARD, PAUL E · 2010 to 2014
$2.5M
MENOPAUSE AND MIDLIFE AGING EFFECTS ON SLEEP DISORDERSR01AG014124 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI YOUNG, TERRY B · 1997 to 2006
$2.5M
Hypersomnia in Major Depressive Disorder: a high-density EEG investigationK23MH099234 · NIMH · UNIVERSITY OF WISCONSIN-MADISON · PI PLANTE, DAVID T · 2013 to 2017
$972k
CENTER FOR NARCOLEPSY AND RELATED DISORDERSP01NS023724 · NINDS · STANFORD UNIVERSITY · PI DEMENT, WILLIAM C · 1987 to 1988
–
NCATS NIH HHS UL1 TR000427NCRR NIH HHS 1UL1RR025011NHLBI NIH HHS R01HL62252NIA NIH HHS R01 AG036838NIA NIH HHS R01AG14124NIMH NIH HHS K23 MH099234NIMH NIH HHS K23MH099234NINDS NIH HHS NS23724
6 · The paper itself

Abstract

STUDY

objectivesTo examine associations of depression with habitual sleep duration, daytime sleepiness, and objective sleep propensity in a nonclinical population.

methodsData from adults participating in the Wisconsin Sleep Cohort Study were utilized in analyses. There were 1,287 adults (3,324 observations) who were used in the analysis of subjective hypersomnolence measures; 1,155 adults (2,981 observations) were used in the analysis of objective sleep propensity assessed by the multiple sleep latency test (MSLT). Repeated-measures logistic regression estimated associations between presence of depression (defined as modified Zung Self-Rating Depression Scale ≥ 50 or use of antidepressant medications) and three primary hypersomnolence measures: subjective excessive daytime sleepiness (Epworth Sleepiness Scale [ESS] ≥ 11), self-reported sleep duration ≥ 9 h/d, and objective sleep propensity (MSLT mean sleep latency < 8 min).

resultsAfter adjusting for age, sex, body mass index, chronic medical conditions, sedative hypnotic medication use, caffeine, tobacco, and alcohol use, sleep disordered breathing, as well as insomnia and sleep duration when appropriate, estimated odd ratios (95% confidence interval) for depression were: 1.56 (1.31,1.86) for ESS ≥ 11; 2.01 (1.49, 2.72) for habitual sleep time ≥ 9 h; and 0.76 (0.63-0.92) for MSLT mean sleep latency < 8 min.

conclusionsOur results demonstrate divergent associations between subjective and objective symptoms of hypersomnolence and depression, with subjective sleepiness and excessive sleep duration associated with increased odds of depression, but objective sleep propensity as measured by the MSLT associated with decreased odds of depression. Further research is indicated to explain this paradox and the impact of different hypersomnolence measures on the course of mood disorders. COMMENTARY: A commentary on this article appears in this issue on page 467.

Indexed as

AdultAgedAged, 80 and overCohort StudiesDepressive DisorderDisorders of Excessive SomnolenceFemaleHumansMaleMiddle AgedPolysomnographySurveys and QuestionnairesWisconsincohortdepressionhypersomnolencemood disordersmultiple sleep latency testsleepiness

Identifiers

PMID26888592
PMCPMC4795285
OpenAlexW2280043886

What OpenQuestion holds

Textmetadata
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.