The Long-Term Association of Disorganized Attachment and Harsh Parenting With Brain Morphology: A Large Population-Based Study

2020 ◽  
Vol 87 (9) ◽  
pp. S3
Author(s):  
Henning Tiemeier ◽  
Andrea P. Cortes Hidalgo ◽  
Ryan Muetzel
Author(s):  
Andrea P. Cortes Hidalgo ◽  
Marian J. Bakermans-Kranenburg ◽  
Marinus H. van IJzendoorn ◽  
Tonya J.H. White ◽  
Henning Tiemeier

2021 ◽  
Author(s):  
Andrea P. Cortes Hidalgo ◽  
Scott W. Delaney ◽  
Stavroula A. Kourtalidi ◽  
Alexander Neumann ◽  
Runyu Zou ◽  
...  

AbstractBackgroundPrenatal and childhood adverse events have been shown to be related to children’s cognitive and psychological development. However, the influence of early-life adversities on child brain morphology is not well understood and most studies are based on small samples and often examine only one adversity. Thus, the goal of our study is to examine the relationship between cumulative exposures to prenatal and childhood adversities and brain morphology in a large population-based study.MethodsParticipants included 2,993 children in whom prenatal adversities were reported by mothers at 20-25 weeks of pregnancy and the child’s lifetime exposure to adversities was reported by mothers when the children were 10 years-of-age. The total brain, grey and white matter volumes and the volume of the cerebellum, amygdala and hippocampus were assessed with magnetic resonance imaging when children were 10 years old.ResultsIn total, 36% of children had mothers who were exposed to at least one adversity during pregnancy and 35% of children were exposed to adversities in childhood. In our study sample, the cumulative number of prenatal adversities was not related to any brain outcome. In contrast, per each additional childhood adverse event, the total brain volume was 0.07 standard deviations smaller (SE = 0.02, p = 0.001), with differences in both grey and white matter volumes. Childhood adversities were not related to the amygdala or hippocampal volumes. Additionally, the link between childhood events and the preadolescent brain was not modified by prenatal events and was not explained by maternal psychopathology.ConclusionsOur results suggest that childhood adversities, but not prenatal adverse events, are associated with smaller global brain volumes in preadolescence. Notably, this is the first large population-based study to prospectively assess the association between the cumulative number of prenatal adversities and the preadolescent brain morphology. The study findings extend the evidence from high-risk samples, providing support for a link between cumulative childhood adverse events and brain morphology in children from the general population.


Oncotarget ◽  
2017 ◽  
Vol 8 (31) ◽  
pp. 51076-51085 ◽  
Author(s):  
Xu Guan ◽  
Hanqing Hu ◽  
Wei Chen ◽  
Zheng Jiang ◽  
Zheng Liu ◽  
...  

VASA ◽  
2017 ◽  
Vol 46 (4) ◽  
pp. 291-295 ◽  
Author(s):  
Soumia Taimour ◽  
Moncef Zarrouk ◽  
Jan Holst ◽  
Olle Melander ◽  
Gunar Engström ◽  
...  

Abstract. Background: Biomarkers reflecting diverse pathophysiological pathways may play an important role in the pathogenesis of abdominal aortic aneurysm (aortic diameter ≥30 mm, AAA), levels of many biomarkers are elevated and correlated to aortic diameter among 65-year-old men undergoing ultrasound (US) screening for AAA. Probands and methods: To evaluate potential relationships between biomarkers and aortic dilatation after long-term follow-up, levels of C-reactive protein (CRP), proneurotensin (PNT), copeptin (CPT), lipoprotein-associated phospholipase 2 (Lp-PLA2), cystatin C (Cyst C), midregional proatrial natriuretic peptide (MR-proANP), and midregional proadrenomedullin (MR-proADM) were measured in 117 subjects (114 [97 %] men) aged 47–49 in a prospective population-based cohort study, and related to aortic diameter at US examination of the aorta after 14–19 years of follow-up. Results: Biomarker levels at baseline did not correlate with aortic diameter after 14–19 years of follow up (CRP [r = 0.153], PNT [r = 0.070], CPT [r = –.156], Lp-PLA2 [r = .024], Cyst C [r = –.015], MR-proANP [r = 0.014], MR-proADM [r = –.117]). Adjusting for age and smoking at baseline in a linear regression model did not reveal any significant correlations. Conclusions: Tested biomarker levels at age 47–49 were not associated with aortic diameter at ultrasound examination after 14–19 years of follow-up. If there are relationships between these biomarkers and aortic dilatation, they are not relevant until closer to AAA diagnosis.


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