Cargando…

Associations between insomnia and pregnancy and perinatal outcomes: Evidence from mendelian randomization and multivariable regression analyses

BACKGROUND: Insomnia is common and associated with adverse pregnancy and perinatal outcomes in observational studies. However, those associations could be vulnerable to residual confounding or reverse causality. Our aim was to estimate the association of insomnia with stillbirth, miscarriage, gestat...

Descripción completa

Detalles Bibliográficos
Autores principales: Yang, Qian, Borges, Maria Carolina, Sanderson, Eleanor, Magnus, Maria C., Kilpi, Fanny, Collings, Paul J., Soares, Ana Luiza, West, Jane, Magnus, Per, Wright, John, Håberg, Siri E., Tilling, Kate, Lawlor, Deborah A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9488815/
https://www.ncbi.nlm.nih.gov/pubmed/36067251
http://dx.doi.org/10.1371/journal.pmed.1004090
_version_ 1784792743773470720
author Yang, Qian
Borges, Maria Carolina
Sanderson, Eleanor
Magnus, Maria C.
Kilpi, Fanny
Collings, Paul J.
Soares, Ana Luiza
West, Jane
Magnus, Per
Wright, John
Håberg, Siri E.
Tilling, Kate
Lawlor, Deborah A.
author_facet Yang, Qian
Borges, Maria Carolina
Sanderson, Eleanor
Magnus, Maria C.
Kilpi, Fanny
Collings, Paul J.
Soares, Ana Luiza
West, Jane
Magnus, Per
Wright, John
Håberg, Siri E.
Tilling, Kate
Lawlor, Deborah A.
author_sort Yang, Qian
collection PubMed
description BACKGROUND: Insomnia is common and associated with adverse pregnancy and perinatal outcomes in observational studies. However, those associations could be vulnerable to residual confounding or reverse causality. Our aim was to estimate the association of insomnia with stillbirth, miscarriage, gestational diabetes (GD), hypertensive disorders of pregnancy (HDP), perinatal depression, preterm birth (PTB), and low/high offspring birthweight (LBW/HBW). METHODS AND FINDINGS: We used 2-sample mendelian randomization (MR) with 81 single-nucleotide polymorphisms (SNPs) instrumenting for a lifelong predisposition to insomnia. Our outcomes included ever experiencing stillbirth, ever experiencing miscarriage, GD, HDP, perinatal depression, PTB (gestational age <37 completed weeks), LBW (<2,500 grams), and HBW (>4,500 grams). We used data from women of European descent (N = 356,069, mean ages at delivery 25.5 to 30.0 years) from UK Biobank (UKB), FinnGen, Avon Longitudinal Study of Parents and Children (ALSPAC), Born in Bradford (BiB), and the Norwegian Mother, Father and Child Cohort (MoBa). Main MR analyses used inverse variance weighting (IVW), with weighted median and MR-Egger as sensitivity analyses. We compared MR estimates with multivariable regression of insomnia in pregnancy on outcomes in ALSPAC (N = 11,745). IVW showed evidence of an association of genetic susceptibility to insomnia with miscarriage (odds ratio (OR): 1.60, 95% confidence interval (CI): 1.18, 2.17, p = 0.002), perinatal depression (OR 3.56, 95% CI: 1.49, 8.54, p = 0.004), and LBW (OR 3.17, 95% CI: 1.69, 5.96, p < 0.001). IVW results did not support associations of insomnia with stillbirth, GD, HDP, PTB, and HBW, with wide CIs including the null. Associations of genetic susceptibility to insomnia with miscarriage, perinatal depression, and LBW were not observed in weighted median or MR-Egger analyses. Results from these sensitivity analyses were directionally consistent with IVW results for all outcomes, with the exception of GD, perinatal depression, and PTB in MR-Egger. Multivariable regression showed associations of insomnia at 18 weeks of gestation with perinatal depression (OR 2.96, 95% CI: 2.42, 3.63, p < 0.001), but not with LBW (OR 0.92, 95% CI: 0.69, 1.24, p = 0.60). Multivariable regression with miscarriage and stillbirth was not possible due to small numbers in index pregnancies. Key limitations are potential horizontal pleiotropy (particularly for perinatal depression) and low statistical power in MR, and residual confounding in multivariable regression. CONCLUSIONS: In this study, we observed some evidence in support of a possible causal relationship between genetically predicted insomnia and miscarriage, perinatal depression, and LBW. Our study also found observational evidence in support of an association between insomnia in pregnancy and perinatal depression, with no clear multivariable evidence of an association with LBW. Our findings highlight the importance of healthy sleep in women of reproductive age, though replication in larger studies, including with genetic instruments specific to insomnia in pregnancy are important.
format Online
Article
Text
id pubmed-9488815
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-94888152022-09-21 Associations between insomnia and pregnancy and perinatal outcomes: Evidence from mendelian randomization and multivariable regression analyses Yang, Qian Borges, Maria Carolina Sanderson, Eleanor Magnus, Maria C. Kilpi, Fanny Collings, Paul J. Soares, Ana Luiza West, Jane Magnus, Per Wright, John Håberg, Siri E. Tilling, Kate Lawlor, Deborah A. PLoS Med Research Article BACKGROUND: Insomnia is common and associated with adverse pregnancy and perinatal outcomes in observational studies. However, those associations could be vulnerable to residual confounding or reverse causality. Our aim was to estimate the association of insomnia with stillbirth, miscarriage, gestational diabetes (GD), hypertensive disorders of pregnancy (HDP), perinatal depression, preterm birth (PTB), and low/high offspring birthweight (LBW/HBW). METHODS AND FINDINGS: We used 2-sample mendelian randomization (MR) with 81 single-nucleotide polymorphisms (SNPs) instrumenting for a lifelong predisposition to insomnia. Our outcomes included ever experiencing stillbirth, ever experiencing miscarriage, GD, HDP, perinatal depression, PTB (gestational age <37 completed weeks), LBW (<2,500 grams), and HBW (>4,500 grams). We used data from women of European descent (N = 356,069, mean ages at delivery 25.5 to 30.0 years) from UK Biobank (UKB), FinnGen, Avon Longitudinal Study of Parents and Children (ALSPAC), Born in Bradford (BiB), and the Norwegian Mother, Father and Child Cohort (MoBa). Main MR analyses used inverse variance weighting (IVW), with weighted median and MR-Egger as sensitivity analyses. We compared MR estimates with multivariable regression of insomnia in pregnancy on outcomes in ALSPAC (N = 11,745). IVW showed evidence of an association of genetic susceptibility to insomnia with miscarriage (odds ratio (OR): 1.60, 95% confidence interval (CI): 1.18, 2.17, p = 0.002), perinatal depression (OR 3.56, 95% CI: 1.49, 8.54, p = 0.004), and LBW (OR 3.17, 95% CI: 1.69, 5.96, p < 0.001). IVW results did not support associations of insomnia with stillbirth, GD, HDP, PTB, and HBW, with wide CIs including the null. Associations of genetic susceptibility to insomnia with miscarriage, perinatal depression, and LBW were not observed in weighted median or MR-Egger analyses. Results from these sensitivity analyses were directionally consistent with IVW results for all outcomes, with the exception of GD, perinatal depression, and PTB in MR-Egger. Multivariable regression showed associations of insomnia at 18 weeks of gestation with perinatal depression (OR 2.96, 95% CI: 2.42, 3.63, p < 0.001), but not with LBW (OR 0.92, 95% CI: 0.69, 1.24, p = 0.60). Multivariable regression with miscarriage and stillbirth was not possible due to small numbers in index pregnancies. Key limitations are potential horizontal pleiotropy (particularly for perinatal depression) and low statistical power in MR, and residual confounding in multivariable regression. CONCLUSIONS: In this study, we observed some evidence in support of a possible causal relationship between genetically predicted insomnia and miscarriage, perinatal depression, and LBW. Our study also found observational evidence in support of an association between insomnia in pregnancy and perinatal depression, with no clear multivariable evidence of an association with LBW. Our findings highlight the importance of healthy sleep in women of reproductive age, though replication in larger studies, including with genetic instruments specific to insomnia in pregnancy are important. Public Library of Science 2022-09-06 /pmc/articles/PMC9488815/ /pubmed/36067251 http://dx.doi.org/10.1371/journal.pmed.1004090 Text en © 2022 Yang et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Yang, Qian
Borges, Maria Carolina
Sanderson, Eleanor
Magnus, Maria C.
Kilpi, Fanny
Collings, Paul J.
Soares, Ana Luiza
West, Jane
Magnus, Per
Wright, John
Håberg, Siri E.
Tilling, Kate
Lawlor, Deborah A.
Associations between insomnia and pregnancy and perinatal outcomes: Evidence from mendelian randomization and multivariable regression analyses
title Associations between insomnia and pregnancy and perinatal outcomes: Evidence from mendelian randomization and multivariable regression analyses
title_full Associations between insomnia and pregnancy and perinatal outcomes: Evidence from mendelian randomization and multivariable regression analyses
title_fullStr Associations between insomnia and pregnancy and perinatal outcomes: Evidence from mendelian randomization and multivariable regression analyses
title_full_unstemmed Associations between insomnia and pregnancy and perinatal outcomes: Evidence from mendelian randomization and multivariable regression analyses
title_short Associations between insomnia and pregnancy and perinatal outcomes: Evidence from mendelian randomization and multivariable regression analyses
title_sort associations between insomnia and pregnancy and perinatal outcomes: evidence from mendelian randomization and multivariable regression analyses
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9488815/
https://www.ncbi.nlm.nih.gov/pubmed/36067251
http://dx.doi.org/10.1371/journal.pmed.1004090
work_keys_str_mv AT yangqian associationsbetweeninsomniaandpregnancyandperinataloutcomesevidencefrommendelianrandomizationandmultivariableregressionanalyses
AT borgesmariacarolina associationsbetweeninsomniaandpregnancyandperinataloutcomesevidencefrommendelianrandomizationandmultivariableregressionanalyses
AT sandersoneleanor associationsbetweeninsomniaandpregnancyandperinataloutcomesevidencefrommendelianrandomizationandmultivariableregressionanalyses
AT magnusmariac associationsbetweeninsomniaandpregnancyandperinataloutcomesevidencefrommendelianrandomizationandmultivariableregressionanalyses
AT kilpifanny associationsbetweeninsomniaandpregnancyandperinataloutcomesevidencefrommendelianrandomizationandmultivariableregressionanalyses
AT collingspaulj associationsbetweeninsomniaandpregnancyandperinataloutcomesevidencefrommendelianrandomizationandmultivariableregressionanalyses
AT soaresanaluiza associationsbetweeninsomniaandpregnancyandperinataloutcomesevidencefrommendelianrandomizationandmultivariableregressionanalyses
AT westjane associationsbetweeninsomniaandpregnancyandperinataloutcomesevidencefrommendelianrandomizationandmultivariableregressionanalyses
AT magnusper associationsbetweeninsomniaandpregnancyandperinataloutcomesevidencefrommendelianrandomizationandmultivariableregressionanalyses
AT wrightjohn associationsbetweeninsomniaandpregnancyandperinataloutcomesevidencefrommendelianrandomizationandmultivariableregressionanalyses
AT habergsirie associationsbetweeninsomniaandpregnancyandperinataloutcomesevidencefrommendelianrandomizationandmultivariableregressionanalyses
AT tillingkate associationsbetweeninsomniaandpregnancyandperinataloutcomesevidencefrommendelianrandomizationandmultivariableregressionanalyses
AT lawlordeboraha associationsbetweeninsomniaandpregnancyandperinataloutcomesevidencefrommendelianrandomizationandmultivariableregressionanalyses