John Eastwood

Neonatal Abstinence Syndrome and High School Performance

BACKGROUND AND OBJECTIVES: Little is known of the long-term, including school, outcomes of children diagnosed with Neonatal abstinence syndrome (NAS) (International Statistical Classification of Disease and Related Problems [10th Edition], Australian Modification, P96.1). METHODS: Linked analysis of health and curriculum-based test data for all children born in the state of New South Wales (NSW), Australia, between 2000 and 2006. Children with NAS (n = 2234) were compared with a control group matched for gestation, socioeconomic status, and gender (n = 4330, control) and with other NSW children (n = 598 265, population) for results on the National Assessment Program: Literacy and Numeracy, in grades 3, 5, and 7. RESULTS: Mean test scores (range 0–1000) for children with NAS were significantly lower in grade 3 (359 vs control: 410 vs population: 421). The deficit was progressive. By grade 7, children with NAS scored lower than other children in grade 5. The risk of not meeting minimum standards was independently associated with NAS (adjusted odds ratio [aOR], 2.5; 95% confidence interval [CI], 2.2–2.7), indigenous status (aOR, 2.2; 95% CI, 2.2–2.3), male gender (aOR, 1.3; 95% CI, 1.3–1.4), and low parental education (aOR, 1.5; 95% CI, 1.1–1.6), with all Ps < .001. CONCLUSIONS: A neonatal diagnostic code of NAS is strongly associated with poor and deteriorating school performance. Parental education may decrease the risk of failure. Children with NAS and their families must be identified early and provided with support to minimize the consequences of poor educational outcomes.

Postnatal depression and socio-demographic risk: factors associated with Edinburgh Depression Scale scores in a metropolitan area of New South Wales, Australia

Objective: The aim of this study was to determine the prevalence and risk factors for postnatal depressive symptoms in women living in metropolitan Sydney, Australia. Method: A population-based cross-sectional study of mothers of newborn infants was undertaken during home and community clinic visits in South West Sydney from 2000 to 2004. A comprehensive 45 item survey questionnaire was completed by 29 405 mothers. A self-report Edinburgh Postnatal Depression Scale (EPDS) of depressive symptoms was completed by 25 455 mothers at the first child and family nurse visit. The primary study outcome measures were EPDS scores greater than 9 and greater than 12. Results: At a mean infant age of 2.16 weeks the prevalence of EPDS >9 was 12% and EPDS >12 was 6.2%. Results from multiple logistic regression revealed that EPDS >9 and EPDS > 2 were associated with a maternal country of birth other than Australia, difficult financial situation, living in the suburb one year or less, ‘no regret leaving the suburb’, unplanned pregnancy, not breastfeeding, and poor rating of mothers own health. Other social demographic factors such as marital status, maternal age, education of mother, or being Aboriginal or a Torres Strait Islander show no significant association with postnatal depressive symptoms. Conclusions: The results confirm prevalence rates and maternal individual-level risk factors from previous studies. The study contributes to the limited number of studies of postnatal depression and socio-demographic factors. Neighbourhood and community group-level factors may be important and should be studied further.

Relationship of postnatal depressive symptoms to infant temperament, maternal expectations, social support and other potential risk factors: findings from a large Australian cross-sectional study

BackgroundFrom 2000 a routine survey of mothers with newborn infants was commenced in South Western Sydney. The survey included the Edinburgh Postnatal Depression Scale (EPDS). The aim of the study was to determine the prevalence and risk factors for postnatal depressive symptoms in women living in metropolitan Sydney, Australia.MethodsMothers (n=15,389) delivering in 2002 and 2003 were assessed at 2–3 weeks after delivery for risk factors for depressive symptoms. The binary outcome variables were EPDS >9 and >12. Logistic regression was used for the multivariate analysis.ResultsThe prevalence of EPDS >9 was 16.93 per 100 (95% CI: 16.34 to 17.52) and EPDS >12 was 7.73 per 100 (95% CI: 6.96 to 7.78). The final parsimonious logistic regression models included measures of infant behaviour, financial stress, mother’s expectation of motherhood, emotional support, sole parenthood, social support and mother’s country of birth.ConclusionsInfant temperament and unmet maternal expectations have a strong association with depressive symptoms with implications for the design of both preventative and treatment strategies. The findings also support the proposition that social exclusion and social isolation are important determinants of maternal depression.

Reasons for Rehospitalization in Children Who Had Neonatal Abstinence Syndrome.

BACKGROUND AND OBJECTIVES: Neonatal abstinence syndrome (NAS) occurs after in utero exposure to opioids, but outcomes after the postnatal period are unclear. Our objectives were to characterize childhood hospitalization after NAS. METHODS: Population-based linkage study of births, hospitalization, and death records of all children registered in New South Wales (NSW), Australia, between 2000 and 2011 to a maximum of 13 years. Infants with an International Statistical Classification of Disease and Related Problems, 10th Edition, Australian Modification, coding of NAS (P96.1, n = 3842) were compared with 1 018 421 live born infants without an NAS diagnosis. RESULTS: Infants with NAS were more likely to be admitted into a nursery (odds ratio 15.6, 95% confidence interval: 14.5–16.8) and be hospitalized longer (10.0 vs 3.0 days). In childhood, they were more likely to be rehospitalized (1.6, 1.5–1.7), die during hospitalization (3.3, 2.1–5.1), and be hospitalized for assaults (15.2, 11.3–20.6), maltreatment (21.0, 14.3–30.9), poisoning (3.6, 2.6–4.8), and mental/behavioral (2.6, 2.1–3.2) and visual (2.9, 2.5-3.5) disorders. Mothers of infants with NAS were more likely to be Indigenous (6.4, 6.0–7.0), have no antenatal care (6.6, 5.9–7.4), and be socioeconomically deprived (1.6, 1.5–1.7). Regression analyses demonstrated that NAS was the most important predictor of admissions for maltreatment (odds ratio 4.5, 95% confidence interval: 3.4–6.1) and mental and behavioral disorders (2.3, 1.9–2.9), even after accounting for prematurity, maternal age, and Indigenous status. CONCLUSIONS: Children with NAS are more likely to be rehospitalized during childhood for maltreatment, trauma, and mental and behavioral disorders even after accounting for prematurity. This continues to adolescence and emphasizes the critical need for continued support of this vulnerable group after resolution of NAS.

Factors influencing breastfeeding rates in south-western Sydney.

Aim:  To explore the socio‐demographic factors and other maternal characteristics that influence breastfeeding initiation rates. In particular, this paper aims to (i) estimate the rate of breastfeeding by maternal socio‐demographic factors and other maternal characteristics at first well‐baby visit; and (ii) investigate the relationship between breastfeeding rates and these maternal factors.

The comparison of Health status and Health services utilisation between Indigenous and Non-Indigenous infants in Australia

Objective: To examine the differences in health services utilisation and the associated risk factors between Indigenous and non‐Indigenous infants at a national level in Australia.

Realist explanatory theory building method for social epidemiology: a protocol for a mixed method multilevel study of neighbourhood context and postnatal depression.

A recent criticism of social epidemiological studies, and multi-level studies in particular has been a paucity of theory. We will present here the protocol for a study that aims to build a theory of the social epidemiology of maternal depression. We use a critical realist approach which is trans-disciplinary, encompassing both quantitative and qualitative traditions, and that assumes both ontological and hierarchical stratification of reality. We describe a critical realist Explanatory Theory Building Method comprising of an: 1) emergent phase, 2) construction phase, and 3) confirmatory phase. A concurrent triangulated mixed method multilevel cross-sectional study design is described. The Emergent Phase uses: interviews, focus groups, exploratory data analysis, exploratory factor analysis, regression, and multilevel Bayesian spatial data analysis to detect and describe phenomena. Abductive and retroductive reasoning will be applied to: categorical principal component analysis, exploratory factor analysis, regression, coding of concepts and categories, constant comparative analysis, drawing of conceptual networks, and situational analysis to generate theoretical concepts. The Theory Construction Phase will include: 1) defining stratified levels; 2) analytic resolution; 3) abductive reasoning; 4) comparative analysis (triangulation); 5) retroduction; 6) postulate and proposition development; 7) comparison and assessment of theories; and 8) conceptual frameworks and model development. The strength of the critical realist methodology described is the extent to which this paradigm is able to support the epistemological, ontological, axiological, methodological and rhetorical positions of both quantitative and qualitative research in the field of social epidemiology. The extensive multilevel Bayesian studies, intensive qualitative studies, latent variable theory, abductive triangulation, and Inference to Best Explanation provide a strong foundation for Theory Construction. The study will contribute to defining the role that realism and mixed methods can play in explaining the social determinants and developmental origins of health and disease.

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. Aggregated EPDS > 9 was analyzed for 101 suburbs. Suburb-level variables were drawn from the 2001 Australian Census, New South Wales Crime Statistics, and aggregated individual-level risk factors. Analysis included exploratory factor analysis, univariate and multivariate likelihood, and Bayesian linear regression with conditional autoregressive components. The exploratory factor analysis identified six factors: neighborhood adversity, social cohesion, health behaviors, housing quality, social services, and support networks. Variables associated with neighborhood adversity, social cohesion, social networks, and ethnic diversity were consistently associated with aggregated depressive symptoms. The findings support the theoretical proposition that neighborhood adversity causes maternal psychological distress and depression within the context of social buffers including social networks, social cohesion, and social services.

Clusters of maternal depressive symptoms in South Western Sydney, Australia.

The purpose of this study is to explore the spatial distribution of perinatal depressive symptoms in South Western Sydney, Australia, and to identify any clusters that could inform subsequent qualitative, ecological and multilevel studies and local public health interventions. A routine survey of mothers with newborn infants was commenced in 2000. The survey included the Edinburgh Postnatal Depression Scale (EPDS). Mothers (n=15,389) delivering in 2002 and 2003 were assessed at 2-3 weeks after delivery for risk factors for depressive symptoms. The binary outcome variables were EPDS>9 and EPDS>12. EPDS>9 and EPDS>12 was mapped for 101 suburbs using likelihood standardised morbidity ratios (SMRs) and Bayesian log-normal models with conditional autoregressive (CAR) components. Open domain software SaTScan™ was used to test for the presence of clusters. The Bayesian methods identified clusters of depressive symptoms in north-east, north-west and southern areas of the study region. The northern clusters were statistically significant using SaTScan™. There were two high risk clusters of EPDS>9 (radius 4.3 and 5.6 km, both p<0.001) and two high risk clusters of EPDS>12 (radius 1.8 km p=0.003 and radius 3.97 km p=0.012). The clusters were in regions known to be socially disadvantaged and with high rates of non-English speaking migrants. The study findings will be used to inform future qualitative and epidemiological research, and to plan interagency early intervention services for women, children and their families.

Immigrant maternal depression and social networks. A multilevel Bayesian spatial logistic regression in South Western Sydney, Australia

The purpose is to explore the multilevel spatial distribution of depressive symptoms among migrant mothers in South Western Sydney and to identify any group level associations that could inform subsequent theory building and local public health interventions. Migrant mothers (n=7256) delivering in 2002 and 2003 were assessed at 2-3 weeks after delivery for risk factors for depressive symptoms. The binary outcome variables were Edinburgh Postnatal Depression Scale scores (EPDS) of >9 and >12. Individual level variables included were: financial income, self-reported maternal health, social support network, emotional support, practical support, baby trouble sleeping, baby demanding and baby not content. The group level variable reported here is aggregated social support networks. We used Bayesian hierarchical multilevel spatial modelling with conditional autoregression. Migrant mothers were at higher risk of having depressive symptoms if they lived in a community with predominantly Australian-born mothers and strong social capital as measured by aggregated social networks. These findings suggest that migrant mothers are socially isolated and current home visiting services should be strengthened for migrant mothers living in communities where they may have poor social networks.