Evidence map›Paper›PMID 37841879›Full record

ArticleResearch square2023

Poor Sleep Quality Increases Gestational Weight Gain Rate in Pregnant People: Findings from the MADRES Study.

Theresa Bastain, Christine Naya, Tingyu Yang, Mario Vigil, Cindy Chen, Thomas Chavez, Claudia Toledo-Corral, Shohreh Farzan, Rima Habre, Deborah Lerner and 5 more

Open access · greenAbstract readPreprint
In one paragraph

Article in Research square, 2023. 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, 2 citations in OpenAlex.

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

15 authors at 1 institution in 1 country.

Theresa BastainUniversity of Southern California.ORCID 0000-0002-0029-5641
Christine NayaUniversity of Southern California.ORCID 0000-0002-1575-6308
Tingyu YangUniversity of Southern California.
Mario VigilUniversity of Southern California.
Cindy ChenUniversity of Southern California.
Thomas Chavez
Claudia Toledo-CorralCalifornia State University, Northridge.ORCID 0000-0002-1228-9070
Shohreh FarzanUSC Keck School of Medicine.
Rima HabreUniversity of Southern California.
Deborah Lerner
Nathana Lurvey
Brendan GrubbsUniversity of Southern California.ORCID 0000-0002-1963-4922
Genevieve DuntonUniversity of Southern California.
Carrie BretonKeck School of Medicine, University of Southern California.ORCID 0000-0002-6082-4066
Sandrah Eckel
University of Southern California · US

Funding

Translational Research Support CoreP30ES007048 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ROB S MCCONNELL · 1996 to 2026
$46.4M
Lifecourse Approach to Developmental Repercussions of Environmental Agents on Metabolic and Respiratory Health (LA DREAMERs)UH3OD023287 · OD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BASTAIN, THERESA M, BRETON, CARRIE VAN DOREN · 2018 to 2022
$28.4M
Project 3: Maternal Exposure to Environmental Hazards and Psychosocial Stressors and Postpartum Allostatic LoadP50MD015705 · NIMHD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BASTAIN, THERESA M · 2020 to 2024
$8.1M
Project 2: Environmental Exposures, Stress, and Maternal Pregnancy-Related Weight OutcomesP50ES026086 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BASTAIN, THERESA M · 2015 to 2019
$3.7M
Prenatal Sleep Health, Cortisol, and Gestational Weight GainF31HL154716 · NHLBI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI NAYA, CHRISTINE HOTARU · 2020 to 2022
$94k
NHLBI NIH HHS F31 HL154716NIEHS NIH HHS P30 ES007048NIEHS NIH HHS P50 ES026086NIH HHS UH3 OD023287NIMHD NIH HHS P50 MD015705
6 · The paper itself

Abstract

Background: Poor sleep quality is associated with weight gain in non-pregnant populations, but evidence in pregnant people is lacking. Our study examined the association between early-to-mid pregnancy sleep quality and weekly gestational weight gain (GWG) rate during mid-to-late pregnancy by pre-pregnancy body mass index (BMI). Method: Participants were 316 pregnant participants from the Maternal and Developmental Risks from Environmental and Social Stressors (MADRES) study. During early-to-mid pregnancy, participants reported their sleep quality which was used to construct four categories: very poor, poor, good, and very good. Linear growth curve models examined the association between early-to-mid pregnancy sleep quality and weekly rate of GWG (kg/week) during mid-to-late pregnancy (> 20 weeks gestation), with a three-way cross-level interaction between gestational age, sleep quality, and pre-pregnancy BMI category. Models adjusted for ethnicity by birthplace, hypertensive disorders, perceived stress score, and physical activity level. Results: Overall, poorer early-to-mid pregnancy sleep quality was associated with increased weekly weight gain during mid-to-late pregnancy. For example, amongst normal weight participants, mid-to-late pregnancy weight gain was, on average, 0.39 kg (95% CI: 0.29, 0.48) per week for those with very good sleep quality, 0.53 kg (95% CI: 0.44, 0.61) per week for those with poor sleep quality, and 0.54 kg (95% CI: 0.46, 0.62) per week for those with very poor sleep quality during early-to-mid pregnancy. This difference in GWG rate was statistically significantly comparing very good to poor sleep (0.14 kg/week, 95% CI: 0.01, 0.26) and very good to very poor sleep (0.15kg/week, 85% CI: 0.02, 0.27). This association between sleep quality and GWG rate did not statistically differ by pre-pregnancy BMI. Conclusion: Our study found very poor early-to-mid pregnancy sleep quality was associated with higher mid-to-late pregnancy GWG rate. Incorporating pregnancy-specific sleep recommendations into routine obstetric care may be a critical next step in promoting healthy GWG.

Identifiers

PMID37841879
PMCPMC10571604
OpenAlexW4387025577

What OpenQuestion holds

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Registered trials

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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.