Kids in Communities Study (KiCS) study protocol: a cross-sectional mixed-methods approach to measuring community-level factors influencing early child development in Australia

Associations between the built environment and emotional, social and physical indicators of early child development across high and low socioeconomic neighbourhoods

Emerging evidence indicates that the built environment influences early child development. Access to, and the quality of, built environment features vary with the socioeconomic status (SES) of neighbourhoods. It has not yet been established whether the association between built environment features and early child development varies by neighbourhood SES. We sought to identify built environment features associated with neighbourhood-level variations in the early child development domains of physical health and wellbeing, social competence, and emotional maturity, and how these associations differ among high and low SES neighbourhoods where child development patterns follow expected outcomes ("on-diagonal" neighbourhoods) and where child development patterns differ from expected outcomes ("off-diagonal" neighbourhoods). This cross-sectional study analysed data from the Australian Early Development Census (AEDC) for children residing in 3839 neighbourhoods in the Perth and Peel metropolitan areas of Western Australia. Children's AEDC scores were aggregated at the area-level and merged with Geographic Information Systems derived measures of neighbourhood residential density, parks, walkability, community facilities and public transport. Multivariate logistic regressions modelled the odds of low and high SES neighbourhoods having a higher proportion of children developmentally "on-track" (scores in the 26th to 100th percentile of the AEDC) or "not on-track" (scores in the bottom 25th percentile of the AEDC) for each built environment feature. In high SES neighbourhoods, better development across all three domains was associated with greater residential density and improved access to parks, public transport, learning, childcare and health services. Conversely, in low SES neighbourhoods, greater residential density was associated with better physical, but poorer social and emotional development; increased traffic and street connectivity were associated with poorer physical and emotional development; shorter distances to parks, learning, childcare and health services were associated with poorer physical and emotional development; and more services and public transport stops were associated with poorer emotional development. The mixed findings in low SES neighbourhoods suggest that positive associations with built environment features seen in one domain of early child development may be negative in other domains. The reasons for the mixed findings in low SES neighbourhoods are likely multifactorial and may include parental neighbourhood perceptions, as well as quality and usage of built environment features. These findings can be used to inform state and local governments to establish child-friendly town planning and urban design features. Further research is needed to confirm the interplay between SES, early child development, the built environment and other unmeasured factors to better inform public health policy.

Data to Decisions: Methods to Create Neighbourhood Built Environment Indicators Relevant for Early Childhood Development

Healthy development in the early years lays the foundations for children’s ongoing physical, emotional, and social development. Children develop in multiple contexts, including their local neighbourhood. Neighbourhood-built environment characteristics, such as housing, walkability, traffic exposure, availability of services, facilities, and parks, are associated with a range of health and wellbeing outcomes across the life course, but evidence with early years’ outcomes is still emerging. Data linkage techniques were used to assemble a dataset of spatial (objectively-measured) neighbourhood-built environment (BE) measures linked to participant addresses in the 2015 Australian Early Development Census (AEDC) for children living in the 21 most populous urban and regional Australian cities (n = 235,655) to help address this gap. This paper describes the methods used to develop this dataset. This linked dataset (AEDC-BE) is the first of its kind worldwide, enabling opportunities for identifying which features of the built environment are associated with ECD across Australia at scale, allow comparisons between diverse contexts, and the identification of where best to intervene. National data coverage provides statistical power to model real-world complexities, such as differences by city, state/territory, and remoteness. The neighbourhood-built environment can be modified by policy and practice at scale, and has been identified as a way to help reduce inequitable early childhood development outcomes.

Findings from the Kids in Communities Study (KiCS): A mixed methods study examining community-level influences on early childhood development

There is increasing international interest in place-based approaches to improve early childhood development (ECD) outcomes. The available data and evidence are limited and precludes well informed policy and practice change. Developing the evidence-base for community-level effects on ECD is one way to facilitate more informed and targeted community action. This paper presents overall final findings from the Kids in Communities Study (KiCS), an Australian mixed methods investigation into community-level effects on ECD in five domains of influence-physical, social, governance, service, and sociodemographic. Twenty five local communities (suburbs) across Australia were selected based on 'diagonality type' i.e. whether they performed better (off-diagonal positive), worse (off-diagonal negative), or 'as expected' (on-diagonal) on the Australian Early Development Census (AEDC) relative to their socioeconomic profile. The approach was designed to determine replicable and modifiable factors that were separate to socioeconomic status. Between 2015-2017, stakeholder interviews (n = 146), parent and service provider focus groups (n = 51), and existing socio-economic and early childhood education and care administrative data were collected. Qualitative and quantitative data analyses were undertaken to understand differences between 14 paired disadvantaged local communities (i.e. on versus off-diagonal). Further analysis of qualitative data elicited important factors for all 25 local communities. From this, we developed a draft set of 'Foundational Community Factors' (FCFs); these are the factors that lay the foundations of a good community for young children.

A Novel 3-Part Approach to Tackle the Problem of Health Inequities in Early Childhood

The first 5 years of a child's life are crucial in laying the foundation for their health and developmental trajectory into adulthood. These early years are especially influenced by the surrounding environments in which children live and grow. A large international body of evidence demonstrates that children who experience disadvantage tend to fall increasingly behind over time. At the societal level, these inequities can cause substantial social burdens and significant costs across health, education, and welfare budgets. A contributing factor is that children experiencing adversity are less likely to have access to the environmental conditions that support them to thrive. Many of these factors are modifiable at the community or place level. We argue for three key-though not exhaustive-ideas that collectively could achieve more equitable outcomes for children facing disadvantage and experiencing adversity:We conclude that if adopted, these 3 ideas could contribute to the ability of local communities and networks to identify and respond to factors that address early childhood inequalities.

Local Housing Characteristics Associated with Early Childhood Development Outcomes in Australian Disadvantaged Communities

Disadvantaged communities tend to have poorer early childhood development outcomes. Access to safe, secure, and stable housing is a well-known social determinant of health but there is a need to examine key features of neighbourhood housing that reduce early childhood development inequities. The 2012 Australian Early Development Census (AEDC), a population-wide measure of early childhood development, and the Australian Bureau of Statistics Socio-economic Index for Areas Index of Relative Socio-economic Disadvantage were used to select fourteen disadvantaged local communities in five Australian states and territories based on those performing better (off-diagonal), or as expected (on-diagonal) on the AEDC relative to their socio-economic profile. Between 2015-2017, qualitative and quantitative housing data were collected in the local communities. In total, 87 interviews with stakeholders, 30 focus groups with local service providers and parents, and Australian Census dwelling information were analysed. A comparative case study approach was used to examine differences in housing characteristics (e.g., public housing, density, affordability, and tenure) between disadvantaged local communities performing 'better than expected' and 'as expected' on early childhood development. Perceived better housing affordability, objectively measured housing tenure (ownership) and perceived and objectively measured lower-density public housing were housing characteristics that emerged as points of difference for disadvantaged local communities where children had relatively better early childhood development outcomes. These characteristics are potential modifiable and policy sensitive housing levers for reducing early childhood development inequities.