Psychosocial risk factors associated with fathers’ mental health in the postnatal period: results from a population-based study

Purpose

Fathers’ psychological distress in the postnatal period can have adverse effects on their children’s wellbeing and development, yet little is known about the factors associated with fathers’ distress. This paper examines a broad range of socio-demographic, individual, infant and contextual factors to identify those associated with fathers’ psychological distress in the first year postpartum.

Methods

Secondary analysis of data from 3,219 fathers participating in the infant cohort of the Longitudinal Study of Australian Children at wave 1 when children were 0–12 months of age.

Results

Approximately 10 % of fathers reported elevated symptoms of psychological distress. Logistic regression analyses revealed that the risk factors were poor job quality, poor relationship quality, maternal psychological distress, having a partner in a more prestigious occupation and low parental self-efficacy.

Conclusion

These findings provide new information to guide the assessment of fathers’ risk for psychological distress in postnatal period. There are also important social policy implications related to workplace entitlements and the provision of services for fathers.     

Difference in safety and humoral response to mRNA SARS-CoV-2 vaccines in patients with autoimmune neurological disorders: the ANCOVAX study

Journal of Neurology - Assessing the safety of SARS-CoV-2 mRNA vaccines and the effect of immunotherapies on the seroconversion rate in patients with autoimmune neurological conditions (ANC) is...     

Ten years of enhancing neuro-imaging genetics through meta-analysis: An overview from the ENIGMA Genetics Working Group

Here we review the motivation for creating the enhancing neuroimaging genetics through meta-analysis (ENIGMA) Consortium and the genetic analyses undertaken by the consortium so far. We discuss the methodological challenges, findings, and future directions of the genetics working group. A major goal of the working group is tackling the reproducibility crisis affecting “candidate gene” and genome-wide association analyses in neuroimaging. To address this, we developed harmonized analytic methods, and support their use in coordinated analyses across sites worldwide, which also makes it possible to understand heterogeneity in results across sites. These efforts have resulted in the identification of hundreds of common genomic loci robustly associated with brain structure. We have found both pleiotropic and specific genetic effects associated with brain structures, as well as genetic correlations with psychiatric and neurological diseases.