Siblings in lockdown: International evidence for birth order effects on child adjustment in the Covid19 pandemic

Supportive family relationships may mitigate the impact of the Covid19 pandemic on young children's adjustment, but existing work is limited by its focus on within-country variation and parental influences. Addressing these gaps, and drawing on reported buffering effects of older siblings on child mental health (Lawson and Mace, 2010), the current international study examined whether child adjustment problems were, on average, elevated by the pandemic and whether this buffering effect of older siblings would be maintained. In the first wave of the Covid19 pandemic (April to July 2020), 2516 parents of 3- to 8-year-old children living in Australia, China, Italy, Sweden, United Kingdom, and United States of America—six countries with contrasting governmental responses to the pandemic—completed an online survey about family experiences and relationships and child adjustment, as indexed by ratings on the Strengths and Difficulties Questionnaire (SDQ: R. Goodman, 1997). As expected, child SDQ total difficulty scores were elevated in all sites except Sweden (which notably did not enforce mass school closures). Compared to children without siblings, children with one or more older siblings showed fewer adjustment problems. Children from lone-parent households displayed more adjustment problems, as did those whose parents reported increased sibling conflict. Finally, child adjustment problems were negatively associated with family socio-economic status, but positively related to the indices of Covid-19 family disruption and government stringency. We discuss these findings in relation to existing work on asymmetric effects of older versus younger siblings, and siblings as sources of support.     

Giving HOPE and minimising trauma: An intervention to support women who are separated from their babies at birth due to safeguarding concerns

Whatever the circumstances, the separation of infants from their mothers at birth is a traumatic experience for all concerned. The paper reports on a study designed to improve practice in this highly sensitive area. An analysis of data collected through semi-structured interviews with 38 mothers who had experienced removal at birth identified four common themes: isolation and unacknowledged support needs; shame, stigma and the failure of others to acknowledge their maternal identity; acute trauma, immediate downturn and disenfranchised grief following infant removal; and strategies to mitigate their pain and grief. These last themes included the use of artefacts both as transitional objects to help mothers come to terms with the permanent loss of a baby, and as a means of keeping maternal identity alive and connecting with an infant who might eventually return home. In response to these findings, and in collaboration with a group of women with lived experience, HOPE boxes were designed to ameliorate the trauma and psychological burden borne by women in this situation. The contents of the boxes have been chosen to reflect the changing experiences of the women's journeys but also the range of possible potential outcomes. The intervention has considerable potential to minimise the trauma of this painful experience.     

Bayesian modelling of effects of prenatal alcohol exposure on child cognition based on data from multiple cohorts

High levels of prenatal alcohol exposure (PAE) result in significant cognitive deficits in children, but the exact nature of the dose-response relationship is less well understood. To investigate this relationship, data were assembled from six longitudinal birth cohort studies examining the effects of PAE on cognitive outcomes from early school age through adolescence. Structural equation models (SEMs) are a natural approach to consider, because of the way they conceptualise multiple observed outcomes as relating to an underlying latent variable of interest, which can then be modelled as a function of exposure and other predictors of interest. However, conventional SEMs could not be fitted in this context because slightly different outcome measures were used in the six studies. In this paper we propose a multi-group Bayesian SEM that maps the unobserved cognition variable to a broad range of observed outcomes. The relation between these variables and PAE is then examined while controlling for potential confounders via propensity score adjustment. By examining different possible dose-response functions, the proposed framework is used to investigate whether there is a threshold PAE level that results in minimal cognitive deficit.