Yun Huang, Fei Luo, Guanghai Wang, Ting Zhang, Lin Zhang, Lichun Fan, Jun Zhang
{"title":"Maternal sleep disturbance during pregnancy and child intelligence quotient: A metabolome-wide association study in the Shanghai Birth Cohort.","authors":"Yun Huang, Fei Luo, Guanghai Wang, Ting Zhang, Lin Zhang, Lichun Fan, Jun Zhang","doi":"10.1111/jcpp.14125","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The impact of maternal sleep disturbances during pregnancy on long-term neurodevelopment and the role of metabolites in this process are not well understood. In a prospective cohort study, we aimed to investigate the associations between maternal sleep disturbances during each trimester and child intelligence quotient (IQ) at the age of 4 years and to identify metabolites that might mediate these relationships.</p><p><strong>Methods: </strong>This study included 1,870 mother-child pairs from the Shanghai Birth Cohort (SBC). Maternal sleep quality was assessed using the Pittsburgh sleep quality index (PSQI) questionnaire in the first and second trimesters, and a simplified version of the PSQI was used in the third trimester. Child IQ was evaluated at age 4 using the Wechsler Primary and Preschool Scale of Intelligence-Fourth Edition (WPPSI-IV). We conducted untargeted analyses of maternal serum metabolomics in the first trimester in 1,461 subjects. We employed multiple linear regression models to examine the associations between maternal sleep disturbances during each trimester and child IQ. Additionally, we utilized longitudinal latent class analysis (LLCA) to identify patterns of sleep quality changes throughout the three trimesters and employed multiple linear regression models to investigate how these sleep patterns across the entire pregnancy were associated with child IQ. We applied a 'meet-in-the-middle' approach to identify potential metabolites linking maternal sleep disturbances during early pregnancy with child IQ.</p><p><strong>Results: </strong>Longer sleep latency was associated with lower child Full-Scale IQ (FSIQ) and verbal comprehension index (VCI) for the first trimester, while lower child fluid reasoning index (FRI) for the second trimester. Longer sleep latency throughout the pregnancy was associated with decreased FSIQ (β = -4.68; 95% CI: -8.32, -1.03), VCI (β = -6.38; 95% CI: -10.39, -2.37), and FRI (β = -4.29; 95% CI: -7.96, -0.63). We found that inositol, indoleacrylic acid, and 4-hydroxyquinoline emerged as potential biomarkers that play an intermediary role in the association between maternal sleep disturbances and child IQ.</p><p><strong>Conclusions: </strong>Sleep disturbance during pregnancy may be a risk factor for compromised IQ in preschool-aged offspring. Alterations in inositol and tryptophan metabolism might be the mediator for the link between maternal sleep disturbances and child IQ.</p>","PeriodicalId":187,"journal":{"name":"Journal of Child Psychology and Psychiatry","volume":" ","pages":""},"PeriodicalIF":6.5000,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Child Psychology and Psychiatry","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1111/jcpp.14125","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHIATRY","Score":null,"Total":0}
引用次数: 0
Abstract
Background: The impact of maternal sleep disturbances during pregnancy on long-term neurodevelopment and the role of metabolites in this process are not well understood. In a prospective cohort study, we aimed to investigate the associations between maternal sleep disturbances during each trimester and child intelligence quotient (IQ) at the age of 4 years and to identify metabolites that might mediate these relationships.
Methods: This study included 1,870 mother-child pairs from the Shanghai Birth Cohort (SBC). Maternal sleep quality was assessed using the Pittsburgh sleep quality index (PSQI) questionnaire in the first and second trimesters, and a simplified version of the PSQI was used in the third trimester. Child IQ was evaluated at age 4 using the Wechsler Primary and Preschool Scale of Intelligence-Fourth Edition (WPPSI-IV). We conducted untargeted analyses of maternal serum metabolomics in the first trimester in 1,461 subjects. We employed multiple linear regression models to examine the associations between maternal sleep disturbances during each trimester and child IQ. Additionally, we utilized longitudinal latent class analysis (LLCA) to identify patterns of sleep quality changes throughout the three trimesters and employed multiple linear regression models to investigate how these sleep patterns across the entire pregnancy were associated with child IQ. We applied a 'meet-in-the-middle' approach to identify potential metabolites linking maternal sleep disturbances during early pregnancy with child IQ.
Results: Longer sleep latency was associated with lower child Full-Scale IQ (FSIQ) and verbal comprehension index (VCI) for the first trimester, while lower child fluid reasoning index (FRI) for the second trimester. Longer sleep latency throughout the pregnancy was associated with decreased FSIQ (β = -4.68; 95% CI: -8.32, -1.03), VCI (β = -6.38; 95% CI: -10.39, -2.37), and FRI (β = -4.29; 95% CI: -7.96, -0.63). We found that inositol, indoleacrylic acid, and 4-hydroxyquinoline emerged as potential biomarkers that play an intermediary role in the association between maternal sleep disturbances and child IQ.
Conclusions: Sleep disturbance during pregnancy may be a risk factor for compromised IQ in preschool-aged offspring. Alterations in inositol and tryptophan metabolism might be the mediator for the link between maternal sleep disturbances and child IQ.
期刊介绍:
The Journal of Child Psychology and Psychiatry (JCPP) is a highly regarded international publication that focuses on the fields of child and adolescent psychology and psychiatry. It is recognized for publishing top-tier, clinically relevant research across various disciplines related to these areas. JCPP has a broad global readership and covers a diverse range of topics, including:
Epidemiology: Studies on the prevalence and distribution of mental health issues in children and adolescents.
Diagnosis: Research on the identification and classification of childhood disorders.
Treatments: Psychotherapeutic and psychopharmacological interventions for child and adolescent mental health.
Behavior and Cognition: Studies on the behavioral and cognitive aspects of childhood disorders.
Neuroscience and Neurobiology: Research on the neural and biological underpinnings of child mental health.
Genetics: Genetic factors contributing to the development of childhood disorders.
JCPP serves as a platform for integrating empirical research, clinical studies, and high-quality reviews from diverse perspectives, theoretical viewpoints, and disciplines. This interdisciplinary approach is a key feature of the journal, as it fosters a comprehensive understanding of child and adolescent mental health.
The Journal of Child Psychology and Psychiatry is published 12 times a year and is affiliated with the Association for Child and Adolescent Mental Health (ACAMH), which supports the journal's mission to advance knowledge and practice in the field of child and adolescent mental health.