Evidence map›Paper›PMID 32328930›Full record

ArticleSleep & breathing = Schlaf & Atmung2020

Self-reported sleep quality is associated with central hemodynamics in healthy individuals.

Meral N Culver, Sean P Langan, Jadeon Carreker, Andrew A Flatt, Stephen M Ratchford, Gregory J Grosicki

Abstract read
PubMed Publisher
In one paragraph

Article in Sleep & breathing = Schlaf & Atmung, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
1.0field-weighted citation impact, top 21% 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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Role of exercise in reducing the risk of cardiovascular diseases associated with sleep disorders.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2024
    Review
  5. 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

6 authors at 2 institutions in 1 country.

Meral N CulverBiodynamics and Human Performance Center, Georgia Southern University (Armstrong Campus), 11935 Abercorn St, Savannah, GA, 31419, USA.
Sean P LanganBiodynamics and Human Performance Center, Georgia Southern University (Armstrong Campus), 11935 Abercorn St, Savannah, GA, 31419, USA.
Jadeon CarrekerBiodynamics and Human Performance Center, Georgia Southern University (Armstrong Campus), 11935 Abercorn St, Savannah, GA, 31419, USA.
Andrew A FlattBiodynamics and Human Performance Center, Georgia Southern University (Armstrong Campus), 11935 Abercorn St, Savannah, GA, 31419, USA.
Stephen M RatchfordDepartment of Health and Exercise Science, Appalachian State University, Boone, NC, USA.
Gregory J GrosickiBiodynamics and Human Performance Center, Georgia Southern University (Armstrong Campus), 11935 Abercorn St, Savannah, GA, 31419, USA. ggrosicki@georgiasouthern.edu.ORCID https://orcid.org/0000-0001-8929-4903
Armstrong Atlantic State University · USAppalachian State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInsufficient sleep is associated with arterial stiffness and elevated cardiovascular disease risk. Central hemodynamics are influenced by arterial stiffness, yet independently predict cardiovascular risk. Relationships between sleep characteristics and central hemodynamic parameters are largely unexplored. We aimed to characterize the relationship between self-reported sleep quality and central hemodynamics in healthy individuals. To explore the secondary hypothesis that impairments in glucose metabolism may underlie relationships between sleep and central hemodynamic variables, we also explored associations between self-reported sleep quality and fasting blood glucose values.

methodsThirty-one healthy study subjects (20 to 69 years, 17 men) were free from metabolic or cardiovascular disease and did not take sleep medication. Self-reported sleep quality was obtained using the Pittsburgh Sleep Quality Index (PSQI) with normal sleepers defined by PSQI scores 0-5 and poor sleepers by PSQI score > 5. Relationships were assessed between PSQI, central hemodynamic profiles (systolic and diastolic blood pressures, pulse and augmentation pressures, augmentation index) estimated from oscillometric pulse wave analysis, and blood glucose values.

resultsCentral pulse pressure was significantly elevated in poor (PSQI score > 5) compared with that in normal (PSQI scores 0-5) sleepers (P < 0.05). Linear regression models, adjusted for age, gender, and body mass index, demonstrated PSQI score to be an independent predictor (P < 0.05) of both central pulse (β = 0.469) and augmentation (β = 0.364) pressures. Global PSQI scores were not related to fasting blood glucose values (r = 0.045; P > 0.05).

conclusionsSignificant relationships between central pulse and augmentation pressures and self-reported sleep quality highlight the importance of considering sleep when examining lifestyle contributors to central hemodynamics.

Indexed as

AdultAgedBlood PressureCardiovascular DiseasesFemaleHeart RateHumansMaleMiddle AgedRiskSelf ReportSleepSleep Wake DisordersYoung AdultArterial stiffnessAugmentation pressureCentral hemodynamicsPulse pressureSleep

Identifiers

PMID32328930
OpenAlexW3019855671

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.