Background: It is unclear whether sex differences in behavior arising from birth weight (BW) are genuine because of the cross-sectional nature and potential confounding in previous studies. We aimed to test whether sex differences associated with BW phenotype were reproducible using a Mendelian randomization approach, i.e.
View Article and Find Full Text PDFIntro: Prenatal exposure to synthetic glucocorticoids may increase the risk of emotional symptoms in childhood partly by reducing fetal growth. We explored if physiological levels of prenatal maternal cortisol were associated with internalising problems in boys and girls and if this was mediated by birth weight.
Methods: Mother-child dyads from the prospective Odense Child Cohort (n=1162) were included if maternal serum cortisol (3rd trimester), offspring birth weight, and Child Behaviour Checklist (CBCL) assessments in preschool age were available.
Eur Child Adolesc Psychiatry
December 2024
Previous cross-sectional studies suggest that birth weight (BW) is associated with aggression-, social- and attention problems differently in boys and girls. We sought to test if these differences could be confirmed in a longitudinal study. The 1989 Raine Study provided prospectively collected data on perinatal variables and repeated child behaviour checklist assessments from ages 5 to 17.
View Article and Find Full Text PDFBipolar disorder is associated with increased body mass index (BMI), but it remains undetermined if this association is causal and, if so, in which direction it goes. Here, we sought to answer these questions using bidirectional two-sample Mendelian randomization, a method from genetic epidemiology that uses data from genome-wide association studies (GWAS) to examine whether a risk factor is causal for an outcome METHODS: We used summary statistics from GWAS of bipolar disorder and BMI conducted using data collected by the Psychiatric Genomics Consortium and the UK Biobank, respectively. The genetic instrument for bipolar disorder contained 53 SNPs and explained 0.
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