Evidence map›Paper›PMID 31028926›Full record

Observational studySleep medicine2019

Prospective associations among objectively and subjectively assessed sleep and the metabolic syndrome.

Marissa A Bowman, Katherine A Duggan, Ryan C Brindle, Christopher E Kline, Robert T Krafty, Julian F Thayer, Martica H Hall

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Sleep medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 8% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
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  9. Conscientiousness and Cardiometabolic Risk: A Test of the Health Behavior Model of Personality Using Structural Equation Modeling.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2022
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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

7 authors at 3 institutions in 1 country.

Marissa A BowmanDepartment of Psychology, University of Pittsburgh, Pittsburgh, PA, USA.
Katherine A DugganDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
Ryan C BrindleDepartment of Cognitive and Behavioral Science & Neuroscience Program, Washington and Lee University, Lexington, VA, USA.
Christopher E KlineDepartment of Health and Physical Activity, University of Pittsburgh, Pittsburgh, PA, USA.
Robert T KraftyDepartment of Biostatistics, University of Pittsburgh, Pittsburgh, PA, USA.
Julian F ThayerDepartment of Psychology, Ohio State University, Columbus, OH, USA.
Martica H HallDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA. Electronic address: hallmh@upmc.edu.
University of Pittsburgh · USThe Ohio State University · USWashington and Lee University · US

Funding

University of Pittsburgh Clinical and Translational Science InstituteUL1TR000005 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2012 to 2015
$50.8M
CARDIOVASCULAR BEHAVIORAL MEDICINE RESEARCH TRAININGT32HL007560 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Peter J Gianaros, REBECCA C THURSTON · 1985 to 2026
$11.3M
Translational Research Training in Sleep MedicineT32HL082610 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Daniel J. Buysse, PETER L FRANZEN · 2007 to 2026
$5.8M
Testing a Neurobiological Model of Primary InsomniaR01MH024652 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BUYSSE, DANIEL J. · 1985 to 2011
$5.1M
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
A Novel Risk Factor for Cardiovascular Disease: The Insomnia-Short Sleep PhenotypK23HL118318 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KLINE, CHRISTOPHER EDWARD · 2014 to 2018
$776k
Medical Comorbidity, Medical Burden and Biopolar DisorderR01MH029618 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KUPFER, DAVID J · 1985 to 2006
$262k
Examining the Bi-directional Relationship between Sleep and Stress: A Vicious CycleF32HL137227 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BRINDLE, RYAN C · 2017 to 2018
$73k
PSYCHOBIOLOGICAL CORRELATES OF RECOVERY IN DEPRESSION-IIR01MH041884 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI THASE, MICHAEL E · 1987 to 1998
–
NCATS NIH HHS UL1 TR000005NHLBI NIH HHS F32 HL137227NHLBI NIH HHS K23 HL118318NHLBI NIH HHS R01 HL104607NHLBI NIH HHS T32 HL007560NHLBI NIH HHS T32 HL082610NIGMS NIH HHS R01 GM113243NIMH NIH HHS R01 MH024652NIMH NIH HHS R01 MH029618NIMH NIH HHS R01 MH041884
6 · The paper itself

Abstract

objectiveSubjective sleep disturbances have been associated with greater risk for concurrent and incident metabolic syndrome (MetS). Previous studies have not examined prospective associations among polysomnography-assessed sleep and the MetS, despite knowledge that self-reported sleep is subject to reporting bias, and that subjectively and objectively assessed sleep are weakly correlated.

methodIn the current study, objectively-assessed (polysomnography) and subjectively-assessed (Pittsburgh Sleep Quality Index, PSQI) sleep was measured in 145 adults at two timepoints, separated by 12-30 years. A continuous measure of the MetS was assessed at the second time point. Statistical analyses were adjusted for age, sex, lifetime history of major depressive disorder, follow-up time, and apnea-hypopnea index.

resultsPolysomnography-assessed sleep duration, latency, efficiency, and slow wave sleep were not significantly prospectively associated with the MetS (ps ≥ 0.16). Self-reported longer sleep latency was prospectively associated with higher MetS scores in unadjusted (β = 0.29, p = 0.002) and adjusted models (β = 0.25, p = 0.009). Longer sleep latency was associated with higher fasting glucose levels (β = 0.47, p < 0.001).

conclusionOur study provides evidence that subjective and objective measures of sleep may differ in their ability to prospectively predict MetS.

Indexed as

AgedBlood GlucoseFastingFemaleFollow-Up StudiesHumansMajor Depressive DisorderMaleMetabolic SyndromeMiddle AgedPolysomnographyProspective StudiesRisk FactorsSelf ReportSleepSleep Wake DisordersBlood GlucoseCardiometabolic healthGlucoseMetabolic syndromePittsburgh sleep quality indexPolysomnographySleep

Identifiers

PMID31028926
PMCPMC6816744
OpenAlexW2914613345

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.