Relationship between childbirth and access to postsecondary education among young women ageing out of foster care

Early childbirth is common among young women ageing out of foster care and may impede their educational progress. However, few studies have explored access to postsecondary education among young mothers who have been in foster care. The present study used data from a large, national sample of young people in foster care (National Youth in Transition Database, NYTD) to examine the link between early childbirth and young women's access to postsecondary education between ages 19 and 21, controlling for an array of covariates. The study sample included 2,207 young women who had completed a high school diploma or GED by age 19 and who participated in three NYTD interviews at ages 17, 19 and 21. Childbirth between ages 19 and 21 was linked to decreased access to postsecondary education. However, no relationship was found between access to postsecondary education and childbirth by age 17 or childbirth between ages 17 and 19. Implications for policy, practice and research are discussed.     

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.