Evidence map›Paper›PMID 37252253›Full record

ArticleWomen's health reports (New Rochelle, N.Y.)2023

Sleep Disparities Across Pregnancy: A Michigan Cohort Study.

Chia-Lun Yang, Erica C Jansen, Galit Levi Dunietz, Kelly Hirko, Louise M O'Brien, Jean M Kerver

Open access · goldAbstract read
In one paragraph

Article in Women's health reports (New Rochelle, N.Y.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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.

Chia-Lun YangDepartment of Epidemiology and Biostatistics, Michigan State University, East Lansing, Michigan, USA.ORCID https://orcid.org/0000-0002-6229-7394
Erica C JansenDepartment of Nutritional Sciences, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA.ORCID https://orcid.org/0000-0002-3364-3729
Galit Levi DunietzDivision of Sleep Medicine, Department of Neurology, University of Michigan, Ann Arbor, Michigan, USA.ORCID https://orcid.org/0000-0002-7240-4923
Kelly HirkoDepartment of Epidemiology and Biostatistics, Michigan State University, East Lansing, Michigan, USA.ORCID https://orcid.org/0000-0002-0050-655X
Louise M O'BrienDivision of Sleep Medicine, Department of Neurology, University of Michigan, Ann Arbor, Michigan, USA.ORCID https://orcid.org/0000-0002-7512-9701
Jean M KerverDepartment of Epidemiology and Biostatistics, Michigan State University, East Lansing, Michigan, USA.ORCID https://orcid.org/0000-0001-5006-3622
Michigan State University · USUniversity of Michigan · US

Funding

Strategic Vision & Impact on Environmental HealthP30ES017885 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI AMY J SCHULZ · 2011 to 2026
$21.3M
NIEHS NIH HHS P30 ES017885
6 · The paper itself

Abstract

Introduction: Poor sleep health during pregnancy is related to adverse pregnancy outcomes. This study aims to identify sociodemographic characteristics associated with sleep health during pregnancy and to examine how they relate to changes in sleep during pregnancy. Materials and Methods: Participants ( Results: Compared to the third trimester, sleep duration was 12 minutes longer ( Conclusions: This study suggests that sleep parameters changed during pregnancy and sleep health differed by sociodemographic characteristics. Understanding sleep disparities could help with early detection of at-risk populations during prenatal care.

Indexed as

disparitiespregnancysleepsocioeconomictrimester

Identifiers

PMID37252253
PMCPMC10210214
OpenAlexW4378744959

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.