Evidence map›Paper›PMID 42597033›Full record

ArticlePregnancy (Hoboken, N.J.)2026

Sleepiness in pregnancy and adverse perinatal outcomes.

Rachel Friedlander, Xiaoning Huang, Phyllis Zee, Sadiya S Khan, Philip Greenland, Francesca L Facco, Judith Chung, William A Grobman, Shalini Manchanda, Uma M Reddy and 3 more

Abstract read
In one paragraph

Article in Pregnancy (Hoboken, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Rachel FriedlanderDepartment of Obstetrics and Gynecology Northwestern University Feinberg School of Medicine Chicago Illinois USA.ORCID https://orcid.org/0000-0002-7143-8689
Xiaoning HuangDepartment of Medicine Northwestern University Feinberg School of Medicine Chicago Illinois USA.ORCID https://orcid.org/0000-0001-5813-5993
Phyllis ZeeDepartment of Neurology Northwestern University Feinberg School of Medicine Chicago Illinois USA.
Sadiya S KhanDepartment of Preventive Medicine Northwestern University Feinberg School of Medicine Chicago Illinois USA.ORCID https://orcid.org/0000-0003-0643-1859
Philip GreenlandDepartment of Medicine Northwestern University Feinberg School of Medicine Chicago Illinois USA.
Francesca L FaccoDepartment of Obstetrics and Gynecology University of Pittsburgh Pittsburgh Pennsylvania USA.
Judith ChungDepartment of Obstetrics and Gynecology UC Irvine Health Orange California USA.
William A GrobmanDepartment of Obstetrics and Gynecology Brown University Providence Rhode Island USA.
Shalini ManchandaDepartment of Medicine Indiana University School of Medicine Indianapolis Indiana USA.
Uma M ReddyDepartment of Obstetrics and Gynecology Columbia University New York New York USA.
George R SaadeDepartment of Obstetrics and Gynecology Eastern Virginia Medical School Norfolk Virginia USA.
Robert M SilverDepartment of Obstetrics and Gynecology University of Utah Health Salt Lake City Utah USA.
Lynn M YeeDepartment of Obstetrics and Gynecology Northwestern University Feinberg School of Medicine Chicago Illinois USA.ORCID https://orcid.org/0000-0002-6274-0544

Funding

Indiana Clinical and Translational Sciences InstituteUL1TR001108 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI DENNE, SCOTT C., SHEKHAR, ANANTHA · 2013 to 2017
$23.3M
Preterm Birth in Nulliparous Women: An Understudied Population at Great RiskU10HD063036 · NICHD · RESEARCH TRIANGLE INSTITUTE · PI PARKER, CORETTE BREEDEN · 2010 to 2015
$19.5M
Institute for Clinical and Translational ScienceUL1TR000153 · NCATS · UNIVERSITY OF CALIFORNIA-IRVINE · PI COOPER, DAN M · 2012 to 2015
$12.1M
Prevention of Preterm Birth in high Risk Nulliparous PatientsU10HD063047 · NICHD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI WAPNER, RONALD · 2010 to 2014
$1.9M
Preterm Birth in Nulliparous Women: An Understudied Population at Great RiskU10HD063053 · NICHD · UNIVERSITY OF UTAH · PI SILVER, ROBERT M. · 2010 to 2014
$1.7M
Preterm Birth in Nulliparous Women: An Understudied Population at Great Risk U10HD063020 · NICHD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI GROBMAN, WILLIAM ADAM · 2010 to 2014
$1.6M
Preterm Birth in Nulliparous Women: An Understudied Population at Great RiskU10HD063046 · NICHD · UNIVERSITY OF CALIFORNIA-IRVINE · PI WING, DEBORAH A · 2010 to 2014
$1.6M
Preterm Birth in Nulliparous Women: An Understudied Population at Great RiskU10HD063041 · NICHD · MAGEE-WOMEN'S RES INST AND FOUNDATION · PI SIMHAN, HYAGRIV N · 2010 to 2014
$1.5M
Preterm Birth in Nulliparous Women: An Understudied Population at Great RiskU10HD063048 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI PARRY, SAMUEL I. · 2010 to 2014
$1.5M
Dissecting the Genetic Etiology of Preterm Birth in Nulliparous WomenU10HD063037 · NICHD · INDIANA UNIVERSITY INDIANAPOLIS · PI HAAS, DAVID M. · 2010 to 2014
$1.2M
Adverse Outcomes in Nulliparous Pregnancies: The Ohio CollaborativeU10HD063072 · NICHD · CASE WESTERN RESERVE UNIVERSITY · PI MERCER, BRIAN M. · 2010 to 2014
$1.2M
NCATS NIH HHS UL1 TR000153NCATS NIH HHS UL1 TR001108NICHD NIH HHS U10 HD063020NICHD NIH HHS U10 HD063036NICHD NIH HHS U10 HD063037NICHD NIH HHS U10 HD063041NICHD NIH HHS U10 HD063046NICHD NIH HHS U10 HD063047NICHD NIH HHS U10 HD063048NICHD NIH HHS U10 HD063053NICHD NIH HHS U10 HD063072
6 · The paper itself

Abstract

Background: Sleep disorders in pregnancy have been associated with adverse pregnancy outcomes including hypertensive disorders of pregnancy, preterm birth, and gestational diabetes mellitus, yet these findings are largely from retrospective studies. Using data from a prospective study that used validated tools to assess sleepiness in pregnancy, we aimed to assess the association of sleepiness in pregnancy with adverse pregnancy outcomes. Methods: In this secondary analysis of data from a large, diverse prospective cohort of nulliparous individuals conducted at eight United States medical centers, those with self-reported sleep data were included. Sleepiness was evaluated in early (6-13 weeks) and mid-pregnancy (22-29 weeks) via the Epworth Sleepiness Scale, a validated tool to assess daytime sleep propensity (i.e., the ability to fall and stay asleep). Those with scores ≤10 were categorized as having no sleepiness (referent), 11-15 moderate sleepiness, and 16-24 severe sleepiness. The outcomes were hypertensive disorders of pregnancy, gestational diabetes, preterm birth, and small-for-gestational-age birth < 10 percentile. Multivariable logistic regression analysis adjusting for multiple potential confounders was performed to evaluate the associations of moderate and severe sleepiness with each outcome. Results: Of 6806 eligible participants who completed daytime sleepiness questionnaires at both time points, the mean score in early and mid-pregnancy was 7.8 (standard deviation 4.1) and 6.5 (standard deviation 4.0), respectively. In early pregnancy, 20.0% and 4.3% of people reported moderate and severe daytime sleepiness, respectively; in mid-pregnancy, 14.4% and 2.5% of people experienced moderate and severe sleepiness. Severe sleepiness in mid-pregnancy was associated with gestational diabetes (7.1% severe sleepiness vs. 3.8% no sleepiness; adjusted odds ratio [aOR], 1.78; 95% confidence interval [CI], 1.01-3.12) and small-for-gestational-age birth (14.8% severe sleepiness vs. 10.3% no sleepiness; aOR, 1.35; 95% CI, 1.06-1.71). Conclusions: Severe daytime sleepiness during mid-pregnancy, a symptom reflective of sleep quality, length, and often sleep disordered breathing, is associated with gestational diabetes and small-for-gestational-age birth, suggesting a potential relationship with maternal glucose metabolism and placental function.

Indexed as

gestational diabeteshypertensive disorders of pregnancypreterm birthsleep disorderssleepinesssmall for gestational age birth

Identifiers

PMID42597033
PMCPMC13344581

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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.