Risk factors for non-participation in a universal developmental surveillance program in a population in Australia.

Objectives This study examined the risk factors for non-participation in a developmental surveillance program in a population in south-west Sydney with a high proportion of culturally diverse and socioeconomically disadvantaged people. Methods Data from 850 and 625 12- and 18-month-old children respectively from the Watch Me Grow (WMG) birth cohort were used for this study. Logistic regression models were used to assess risk factors for 12- and 18-month non-attendance at Well Child Visits, as well as non-completion of the developmental surveillance questionnaire Parents' Evaluation of Developmental Status (PEDS) in the child's personal health record (PHR).

Realist identification of group-level latent variables for perinatal social epidemiology theory building.

We have previously reported in this journal on an ecological study of perinatal depressive symptoms in South Western Sydney. In that article, we briefly reported on a factor analysis that was utilized to identify empirical indicators for analysis. In this article, we report on the mixed method approach that was used to identify those latent variables.

Neighborhood adversity, ethnic diversity, and weak social cohesion and social networks predict high rates of maternal depressive symptoms: a critical realist ecological study in South Western Sydney, Australia.

The aim of the study reported here is to explore ecological covariate and latent variable associations with perinatal depressive symptoms in South Western Sydney for the purpose of informing subsequent theory generation of perinatal context, depression, and the developmental origins of health and disease. Mothers (n = 15,389) delivering in 2002 and 2003 were assessed at two to three weeks after delivery for risk factors for depressive symptoms. The binary outcome variables were Edinburgh Postnatal Depression Scale (EPDS)> 9 and > 12.