Maternal sleep disturbance during pregnancy and child intelligence quotient: A metabolome-wide association study in the Shanghai Birth Cohort / Yun HUANG in Journal of Child Psychology and Psychiatry, 66-8 (August 2025)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 66-8 (August 2025) . - p.1105-1116 Titre : Maternal sleep disturbance during pregnancy and child intelligence quotient: A metabolome-wide association study in the Shanghai Birth Cohort Type de document : texte imprimé Auteurs : Yun HUANG, Auteur ; Fei LUO, Auteur ; Guanghai WANG, Auteur ; Ting ZHANG, Auteur ; Lin ZHANG, Auteur ; Lichun FAN, Auteur ; Jun ZHANG, Auteur Article en page(s) : p.1105-1116 Langues : Anglais (eng) Mots-clés : Maternal sleep  Pregnancy  Child intelligence quotient  Neurodevelopment  Metabolomics  Birth Cohort Index. décimale : PER Périodiques Résumé : 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 (? 4.68; 95% CI: 8.32, 1.03), VCI (? 6.38; 95% CI: 10.39, 2.37), and FRI (? 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. En ligne : https://doi.org/10.1111/jcpp.14125 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=564 [article] Maternal sleep disturbance during pregnancy and child intelligence quotient: A metabolome-wide association study in the Shanghai Birth Cohort [texte imprimé] / Yun HUANG, Auteur ; Fei LUO, Auteur ; Guanghai WANG, Auteur ; Ting ZHANG, Auteur ; Lin ZHANG, Auteur ; Lichun FAN, Auteur ; Jun ZHANG, Auteur . - p.1105-1116. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 66-8 (August 2025) . - p.1105-1116 Mots-clés : Maternal sleep  Pregnancy  Child intelligence quotient  Neurodevelopment  Metabolomics  Birth Cohort Index. décimale : PER Périodiques Résumé : 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 (? 4.68; 95% CI: 8.32, 1.03), VCI (? 6.38; 95% CI: 10.39, 2.37), and FRI (? 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. En ligne : https://doi.org/10.1111/jcpp.14125 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=564

Parenting Stress, Parental Attitudes, and Parent-Reported Autism Symptoms of Children and Adolescents With Autism Spectrum Disorder: A Network Analysis and Subgroup Comparison by Severity / Ziqi WANG in Autism Research, 19-9 (September 2026)  

Public ISBD [article]  inAutism Research > 19-9 (September 2026) . - p. e70337 Titre : Parenting Stress, Parental Attitudes, and Parent-Reported Autism Symptoms of Children and Adolescents With Autism Spectrum Disorder: A Network Analysis and Subgroup Comparison by Severity Type de document : texte imprimé Auteurs : Ziqi WANG, Auteur ; Yiming LONG, Auteur ; Heng LI, Auteur ; Phil REED, Auteur ; Xueyao MA, Auteur ; Yijun SHI, Auteur ; Lin ZHANG, Auteur Article en page(s) : p. e70337 Langues : Anglais (eng) Mots-clés : autism  network analysis  parenting stress  subgroups Index. décimale : PER Périodiques Résumé : ABSTRACT Autism spectrum disorder (ASD) presents substantial challenges for individuals and families, particularly through elevated parenting stress. Previous research has established that parenting stress is influenced by multiple interrelated factors, including parental attitudes toward ASD and parent-reported autism symptoms. Yet, the structural relations among these factors remain poorly understood. This study applied network analysis to delineate the interconnections among parenting stress, parental attitudes, and parent-reported autism symptoms in 997 parents of children and adolescents with ASD (aged 1?18?years). Network structures were compared across subgroups defined by mild, moderate, and severe levels of autism symptoms. Using Gaussian Graphical Models with EBICglasso, the analysis identified central and bridge nodes. In the overall network, ?Difficult Child? showed the highest node and bridge strength. Network structure, global strength, and node strength did not differ significantly across severity subgroups after correction for multiple comparisons, which is consistent with a broadly stable network organization of parenting stress across autism severity levels. Across all severity groups, ?Difficult Child? consistently emerged as the most central node, highlighting it as a potentially shared intervention-relevant target for supporting families of children with ASD across the autism severity spectrum. En ligne : https://doi.org/10.1002/aur.70337 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=593 [article] Parenting Stress, Parental Attitudes, and Parent-Reported Autism Symptoms of Children and Adolescents With Autism Spectrum Disorder: A Network Analysis and Subgroup Comparison by Severity [texte imprimé] / Ziqi WANG, Auteur ; Yiming LONG, Auteur ; Heng LI, Auteur ; Phil REED, Auteur ; Xueyao MA, Auteur ; Yijun SHI, Auteur ; Lin ZHANG, Auteur . - p. e70337. Langues : Anglais (eng) in Autism Research > 19-9 (September 2026) . - p. e70337 Mots-clés : autism  network analysis  parenting stress  subgroups Index. décimale : PER Périodiques Résumé : ABSTRACT Autism spectrum disorder (ASD) presents substantial challenges for individuals and families, particularly through elevated parenting stress. Previous research has established that parenting stress is influenced by multiple interrelated factors, including parental attitudes toward ASD and parent-reported autism symptoms. Yet, the structural relations among these factors remain poorly understood. This study applied network analysis to delineate the interconnections among parenting stress, parental attitudes, and parent-reported autism symptoms in 997 parents of children and adolescents with ASD (aged 1?18?years). Network structures were compared across subgroups defined by mild, moderate, and severe levels of autism symptoms. Using Gaussian Graphical Models with EBICglasso, the analysis identified central and bridge nodes. In the overall network, ?Difficult Child? showed the highest node and bridge strength. Network structure, global strength, and node strength did not differ significantly across severity subgroups after correction for multiple comparisons, which is consistent with a broadly stable network organization of parenting stress across autism severity levels. Across all severity groups, ?Difficult Child? consistently emerged as the most central node, highlighting it as a potentially shared intervention-relevant target for supporting families of children with ASD across the autism severity spectrum. En ligne : https://doi.org/10.1002/aur.70337 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=593

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