Disability-related inequalities in the prevalence of loneliness across the lifespan: trends from Australia, 2003 to 2020.

BACKGROUND: Experiencing loneliness can be distressing and increasing evidence indicates that being lonely is associated with poor physical and mental health outcomes. Cross-sectional studies have demonstrated that people with disability have increased risk of experiencing loneliness compared to people without disability. However, we do not know if these inequalities have changed over time. This study investigated the prevalence of loneliness for people with disability in Australia annually from 2003 to 2020 to examine whether disability-related inequalities in loneliness have changed over time, and disaggregated results for subgroups of people with disability by age group, sex, and disability group. METHODS: We used annual data (2003-2020) from the Household, Income and Labour Dynamics in Australia Survey. Loneliness was measured by a single question assessing the subjective experience of loneliness. For each wave, we calculated population-weighted age-standardised estimates of the proportion of people experiencing loneliness for people with and without disability. We then calculated the absolute and relative inequalities in loneliness between people with and without disability for each wave. Analyses were stratified by 10-year age groups, sex, and disability group (sensory or speech, physical, intellectual or learning, psychological, brain injury or stroke, other). RESULTS: From 2003 to 2020, the prevalence of loneliness was greater for people with disability, such that people with disability were 1.5 to 1.9 times more likely to experience loneliness than people without disability. While the prevalence of loneliness decreased for people without disability between 2003 and 2020, the prevalence of loneliness did not decrease for people with disability during this period. Inequalities in loneliness were more substantial for people with intellectual or learning disabilities, psychological disability, and brain injury or stroke. CONCLUSION: This study confirms that people with disability have increased risk of loneliness compared to people without disability. We add to the existing evidence by demonstrating that disability-related inequalities in loneliness have persisted for two decades in Australia without improvement. Our findings indicate that addressing inequalities in loneliness for people with disability is a critical public health concern given that loneliness is associated with a wide range of poor health outcomes.

Household income supplements in early childhood to reduce inequities in children's development.

BACKGROUND: Early childhood interventions have the potential to reduce children's developmental inequities. We aimed to estimate the extent to which household income supplements for lower-income families in early childhood could close the gap in children's developmental outcomes and parental mental health. METHODS: Data were drawn from a nationally representative birth cohort, the Longitudinal Study of Australian Children (N = 5107), which commenced in 2004 and conducted follow-ups every two years. Exposure was annual household income (0-1 year). Outcomes were children's developmental outcomes, specifically social-emotional, physical functioning, and learning (bottom 15% versus top 85%) at 4-5 years, and an intermediate outcome, parental mental health (poor versus good) at 2-3 years. We modelled hypothetical interventions that provided a fixed-income supplement to lower-income families with a child aged 0-1 year. Considering varying eligibility scenarios and amounts motivated by actual policies in the Australian context, we estimated the risk of poor outcomes for eligible families under no intervention and the hypothetical intervention using marginal structural models. The reduction in risk under intervention relative to no intervention was estimated. RESULTS: A single hypothetical supplement of AU$26,000 (equivalent to ∼USD$17,350) provided to lower-income families (below AU$56,137 (∼USD$37,915) per annum) in a child's first year of life demonstrated an absolute reduction of 2.7%, 1.9% and 2.6% in the risk of poor social-emotional, physical functioning and learning outcomes in children, respectively (equivalent to relative reductions of 12%, 10% and 11%, respectively). The absolute reduction in risk of poor mental health in eligible parents was 1.0%, equivalent to a relative reduction of 7%. Benefits were similar across other income thresholds used to assess eligibility (range, AU$73,329-$99,864). CONCLUSIONS: Household income supplements provided to lower-income families may benefit children's development and parental mental health. This intervention should be considered within a social-ecological approach by stacking complementary interventions to eliminate developmental inequities.

Prioritizing a research agenda on built environments and physical activity: a twin panel Delphi consensus process with researchers and knowledge users.

BACKGROUND: The growth of urban dwelling populations globally has led to rapid increases of research and policy initiatives addressing associations between the built environment and physical activity (PA). Given this rapid proliferation, it is important to identify priority areas and research questions for moving the field forward. The objective of this study was to identify and compare research priorities on the built environment and PA among researchers and knowledge users (e.g., policy makers, practitioners). METHODS: Between September 2022 and April 2023, a three-round, modified Delphi survey was conducted among two independent panels of international researchers (n = 38) and knowledge users (n = 23) to identify similarities and differences in perceived research priorities on the built environment and PA and generate twin 'top 10' lists of the most important research needs. RESULTS: From a broad range of self-identified issues, both panels ranked in common the most pressing research priorities including stronger study designs such as natural experiments, research that examines inequalities and inequities, establishing the cost effectiveness of interventions, safety and injuries related to engagement in active transportation (AT), and considerations for climate change and climate adaptation. Additional priorities identified by researchers included: implementation science, research that incorporates Indigenous perspectives, land-use policies, built environments that support active aging, and participatory research. Additional priorities identified by knowledge users included: built environments and PA among people living with disabilities and a need for national data on trip chaining, multi-modal travel, and non-work or school-related AT. CONCLUSIONS: Five common research priorities between the two groups emerged, including (1) to better understand causality, (2) interactions with the natural environment, (3) economic evaluations, (4) social disparities, and (5) preventable AT-related injuries. The findings may help set directions for future research, interdisciplinary and intersectoral collaborations, and funding opportunities.

The potential of intervening on childhood adversity to reduce socioeconomic inequities in body mass index and inflammation among Australian and UK children: A causal mediation analysis.

BACKGROUND: Lower maternal education is associated with higher body mass index (BMI) and higher chronic inflammation in offspring. Childhood adversity potentially mediates these associations. We examined the extent to which addressing childhood adversity could reduce socioeconomic inequities in these outcomes. METHODS: We analysed data from two early-life longitudinal cohorts: the Longitudinal Study of Australian Children (LSAC; n=1873) and the UK Avon Longitudinal Study of Parents and Children (ALSPAC; n=7085). EXPOSURE: low/medium (below university degree) versus high maternal education, as a key indicator of family socioeconomic position (0-1 year). OUTCOMES: BMI and log-transformed glycoprotein acetyls (GlycA) (LSAC: 11-12 years; ALSPAC: 15.5 years). Mediator: multiple adversities (≥2/<2) indicated by family violence, mental illness, substance abuse and harsh parenting (LSAC: 2-11 years; ALSPAC: 1-12 years). A causal mediation analysis was conducted. RESULTS: Low/medium maternal education was associated with up to 1.03 kg/m2 higher BMI (95% CI: 0.95 to 1.10) and up to 1.69% higher GlycA (95% CI: 1.68 to 1.71) compared with high maternal education, adjusting for confounders. Causal mediation analysis estimated that decreasing the levels of multiple adversities in children with low/medium maternal education to be like their high maternal education peers could reduce BMI inequalities by up to 1.8% and up to 3.3% in GlycA. CONCLUSIONS: Our findings in both cohorts suggest that slight reductions in socioeconomic inequities in children's BMI and inflammation could be achieved by addressing childhood adversities. Public health and social policy efforts should help those affected by childhood adversity, but also consider underlying socioeconomic conditions that drive health inequities.

Examining the Contribution of the Neighborhood Built Environment to the Relationship Between Neighborhood Disadvantage and Early Childhood Development in 205,000 Australian Children.

OBJECTIVE: We examined associations between neighborhood built environment features and early childhood development (ECD), and tested the contribution of the built environment to associations between neighborhood disadvantage and ECD. METHODS: Spatial neighborhood built environment measures were linked to participant addresses in the 2015 Australian Early Development Census (AEDC) for children ∼5 years old living in Australia's 21 most populous cities. The 2015 AEDC contains teacher-reported national data on five key child development domains for children in their first year of formal full-time schooling (approximately 5 years old). AEDC scores were classified as 'developmentally vulnerable' (≤10th centile). Using multilevel modeling, 44 built environment measures were tested with developmental vulnerability on at least one domain of the AEDC, adjusting for socioeconomic factors and neighborhood disadvantage. RESULTS: The dataset consisted of 205,030 children; 89.2% living in major cities. In major cities, children with more early childhood education and care services (OR 0.997) and preschool services (OR 0.991) exceeding Australian standards, and access to healthier food outlets within 3200 m of their home (OR 0.999) had decreased odds of developmental vulnerability, controlling for socioeconomic factors and neighborhood disadvantage. Neighborhood disadvantage remained significantly associated with developmental vulnerability after adjustment for child/family variables and neighborhood built environment characteristics. CONCLUSIONS: The neighborhood built environment had small effects on the neighborhood disadvantage-ECD relationship at the national level. Few built environment measures were associated with ECD. Small effects at the population level may have wide-ranging impacts; modifying the built environment at scale are promising levers for supporting good child outcomes.

Building Capacity in Monitoring Urban Liveability in Bangkok: Critical Success Factors and Reflections from a Multi-Sectoral, International Partnership.

Cities are widely recognised as important settings for promoting health. Nonetheless, making cities more liveable and supportive of health and wellbeing remains a challenge. Decision-makers' capacity to use urban health evidence to create more liveable cities is fundamental to achieving these goals. This paper describes an international partnership designed to build capacity in using liveability indicators aligned with the UN Sustainable Development Goals (SDGs) and social determinants of health, in Bangkok, Thailand. The aim of this paper is to reflect on this partnership and outline factors critical to its success. Partners included the Bangkok Metropolitan Administration, the UN Global Compact-Cities Programme, the Victorian Government Department of Health and Human Services, the Victorian Health Promotion Foundation, and urban scholars based at an Australian university. Numerous critical success factors were identified, including having a bilingual liaison and champion, establishment of two active working groups in the Bangkok Metropolitan Administration, and incorporating a six-month hand-over period. Other successful outcomes included contextualising liveability for diverse contexts, providing opportunities for reciprocal learning and knowledge exchange, and informing a major Bangkok strategic urban planning initiative. Future partnerships should consider the strategies identified here to maximise the success and longevity of capacity-building partnerships.

Inequities in Children's Reading Skills: The Role of Home Reading and Preschool Attendance.

OBJECTIVE: Children from socioeconomically disadvantaged backgrounds have poorer learning outcomes. These inequities are a significant public health issue, tracking forward to adverse health outcomes in adulthood. We examined the potential to reduce socioeconomic gaps in children's reading skills through increasing home reading and preschool attendance among disadvantaged children. METHODS: We drew on data from the nationally representative birth cohort of the Longitudinal Study of Australian Children (N = 5107) to examine the impact of socioeconomic disadvantage (0-1 year) on children's reading skills (8-9 years). An interventional effects approach was applied to estimate the extent to which improving the levels of home reading (2-5 years) and preschool attendance (4-5 years) of socioeconomically disadvantaged children to be commensurate with their advantaged peers, could potentially reduce socioeconomic gaps in children's reading skills. RESULTS: Socioeconomically disadvantaged children had a higher risk of poor reading outcomes compared to more advantaged peers: absolute risk difference = 20.1% (95% confidence interval [CI]: 16.0%-24.2%). Results suggest that improving disadvantaged children's home reading and preschool attendance to the level of their advantaged peers could eliminate 6.5% and 2.1% of socioeconomic gaps in reading skills, respectively. However, large socioeconomic gaps would remain, with disadvantaged children maintaining an 18.3% (95% CI: 14.0%-22.7%) higher risk of poor reading outcomes in absolute terms. CONCLUSION: There are clear socioeconomic disparities in children's reading skills by late childhood. Findings suggest that interventions that improve home reading and preschool attendance may contribute to reducing these inequities, but alone are unlikely to be sufficient to close the equity gap.

Area-Level Associations between Built Environment Characteristics and Disability Prevalence in Australia: An Ecological Analysis.

The importance of health-promoting neighborhoods has long been recognized, and characteristics of local built environments are among the social determinants of health. People with disability are more likely than other population groups to experience geographic mobility and cost restrictions, and to be reliant on 'opportunity structures' available locally. We conducted an ecological analysis to explore associations between area-level disability prevalence for people aged 15-64 years and area-level built environment characteristics in Australia's 21 largest cities. Overall, disability was more prevalent in areas with lower walkability and lower local availability of various neighborhood amenities such as public transport, healthier food options, public open space, physical activity and recreation destinations and health and mental health services. These patterns of lower liveability in areas of higher disability prevalence were observed in major cities but not in regional cities. Our findings suggest that geographically targeted interventions to improve access to health-enhancing neighborhood infrastructure could reduce disability-related inequalities in the social determinants of health.

The Disability and Wellbeing Monitoring Framework: data, data gaps, and policy implications.

OBJECTIVE: To develop a framework and indicators to monitor inequalities in health and the social determinants of health for Australians with disability. METHODS: The development drew on existing frameworks and input from people with lived experience of disability. RESULTS: The Disability and Wellbeing Monitoring Framework has 19 domains. Australian national data are available for 73% of the 128 indicators in these domains. Data gaps and limitations include the absence of national data and the absence of disability identifiers in some data sources. CONCLUSIONS: The framework will be used to report baseline data for people with and without disability and to monitor inequalities over time in Australia. It will also be used to locate policy priorities and focus efforts to address data gaps. Implications for public health: Inequality between people with and without disability in relation to health and the social determinants of health is a public health issue that warrants greater attention than it has received to date. The framework provides a robust, evidence-informed tool to address the health inequalities of people with disability, inform the development of effective policy and practice responses, and monitor change over time.

Use of health services by preschool-aged children who are developmentally vulnerable and socioeconomically disadvantaged: testing the inverse care law.

AIM: The inverse care law suggests that those with the greatest need for services are least likely to receive them. Our aim of this study was to test the inverse care law in relation to the use of health services by children aged 4-5 years in Australia who were developmentally vulnerable and socioeconomically disadvantaged. METHOD: Cross-sectional data were collected from the Longitudinal Study of Australian Children birth cohort when the children were aged 4-5 years. Children were grouped according to the combination of developmental vulnerability (yes, no) and socioeconomic disadvantage (lower, higher), resulting in four groups (reference group: developmentally vulnerable and disadvantaged). Multivariate regression was used to examine the impact of the combination of developmental vulnerability and disadvantage on health service use, adjusting for other sociodemographic characteristics. RESULTS: 3967 (90%) of children had data on developmental vulnerability at 4-5 years. A third of children (32.6%) were classified as developmentally vulnerable, and 10%-25% of these children had used health services. Non-disadvantaged children who were developmentally vulnerable (middle need) had 1.4-2.0 times greater odds of using primary healthcare, specialist and hospital services; and non-disadvantaged children who were not developmentally vulnerable (lowest need) had 1.6-1.8 times greater odds of using primary healthcare services, compared with children who were developmentally vulnerable and disadvantaged (highest need). CONCLUSION: We found some evidence of the inverse care law. Equity in service delivery remains a challenge that is critically important to tackle in ensuring a healthy start for children.

Daily Walking among Commuters: A Cross-Sectional Study of Associations with Residential, Work, and Regional Accessibility in Melbourne, Australia (2012-2014).

BACKGROUND: Most research on walking for transport has focused on the walkability of residential neighborhoods, overlooking the contribution of places of work/study and the ease with which destinations outside the immediate neighborhood can be accessed, referred to as regional accessibility. OBJECTIVES: We aimed to examine if local accessibility/walkability around place of work/study and regional accessibility are independently and interactively associated with walking. METHODS: A sample of 4,913 adult commuters was derived from a household travel survey in Melbourne, Australia (2012-2014). Local accessibility was measured as the availability of destinations within an 800-m pedestrian network from homes and places of work/education using a local living index [LLI; 0-3 (low), 4-6, 7-9, and 10-12 (high) destinations]. Regional accessibility was estimated using employment opportunity, commute travel time by mode, and public transport accessibility. Every individual's potential minutes of walking for each level of exposure (observed and counter to fact) were predicted using multivariable regression models including confounders and interaction terms. For each contrast of exposure levels of interest, the corresponding within-individual differences in predicted walking were averaged across individuals to estimate marginal effects. RESULTS: High LLI at home and work/education was associated with more minutes walking than low LLI by 3.9 [95% confidence interval (CI): 2.3, 5.5] and 8.3 (95% CI: 7.3, 9.3) min, respectively, in mutually adjusted models. Across regional accessibility measures, an independent association with walking and an interactive association with LLI at work/education was observed. To take one example, the regional accessibility measure of "Jobs within 30 min by public transport" was associated with 4.3 (95% CI: 2.9, 5.7) more mins walking for high (≥30,000 jobs) compared with low (<4,000 jobs) accessibility in adjusted models. The estimated difference for high vs. low LLI (work/education) (among those with low regional accessibility) was 3.6 min (95% CI: 2.3, 4.8), while the difference for high vs. low regional accessibility (among those with low LLI) was negligible (-0.01; 95% CI: -1.2, 1.2). However, the combined effect estimate for high LLI and high regional accessibility, compared with low on both, was 12.8 min (95% CI: 11.1, 14.5), or 9.3 (95% CI: 6.7, 11.8) min/d walking more than expected based on the separate effect estimates. CONCLUSIONS: High local living (work/education) and regional accessibility, regardless of the regional accessibility measure used, are positively associated with physical activity. High exposure to both is associated with greater benefit than exposure to one or the other alone. https://doi.org/10.1289/EHP3395.

What is the meaning of urban liveability for a city in a low-to-middle-income country? Contextualising liveability for Bangkok, Thailand.

BACKGROUND: Creating 'liveable' cities has become a priority for various sectors, including those tasked with improving population health and reducing inequities. Two-thirds of the world's population will live in cities by 2050, with the most rapid urbanisation in low- and middle-income countries (LMIC). However, there is limited guidance about what constitutes a liveable city from a LMIC perspective, with most of the evidence relating to high-income countries, such as Australia. Existing liveability frameworks include features such as public transport, affordable housing, and public open space; however, these frameworks may not capture all of the liveability considerations for cities in LMIC contexts. OBJECTIVES: This case study formed a multi-sectoral partnership between academics, policymakers (Bangkok Metropolitan Administration, Victorian (Australia) Department of Health and Human Services), and a non-government organisation (UN Global Compact - Cities Programme). This study aimed to: 1) conceptualise and prioritise components of urban liveability within the Bangkok, Thailand context; 2) identify alignment to or divergence from other existing liveability tools; and 3) identify potential indicators and data sources for use within a Pilot Bangkok Liveability Framework. METHODS: The Urban Liveability Workshop involving technical leaders from the Bangkok Metropolitan Administration and a rapid review of liveability literature informed the conceptualisation of liveability for Bangkok. The Bangkok Metropolitan Administration Working Group and key informants in Bangkok provided input into the liveability framework. Indicators identified for Bangkok were mapped onto existing liveability tools, including the UN Global Compact CityScan. RESULTS: Findings revealed commonalities with the Australian liveability definition, as well as new potential indicators for Bangkok. The resulting Pilot Bangkok Liveability Framework provides a structure for measuring liveability in Bangkok that can be implemented by the Bangkok Metropolitan Administration immediately, pending appropriate data acquisition and licensing. The Bangkok Metropolitan Administration Working Group and key informants identified core issues for implementation, including limited spatial data available at the district-level or lower. CONCLUSIONS: This study conceptualised urban liveability for Bangkok, a city in a LMIC context, with potential for adjustment to other cities. Future work should leverage opportunities for using open source data, building local capacity in spatial data expertise, and knowledge sharing between cities.

Access to and availability of exercise facilities in Madrid: an equity perspective.

BACKGROUND: Identifying socioeconomic determinants that are associated with access to and availability of exercise facilities is fundamental to supporting physical activity engagement in urban populations, which in turn, may reduce health inequities. This study analysed the relationship between area-level socioeconomic status (SES) and access to, and availability of, exercise facilities in Madrid, Spain. METHODS: Area-level SES was measured using a composite index based on seven sociodemographic indicators. Exercise facilities were geocoded using Google Maps and classified into four types: public, private, low-cost and sessional. Accessibility was operationalized as the street network distance to the nearest exercise facility from each of the 125,427 residential building entrances (i.e. portals) in Madrid. Availability was defined as the count of exercise facilities in a 1000 m street network buffer around each portal. We used a multilevel linear regression and a zero inflated Poisson regression analyses to assess the association between area-level SES and exercise facility accessibility and availability. RESULTS: Lower SES areas had a lower average distance to the closest facility, especially for public and low-cost facilities. Higher SES areas had higher availability of exercise facilities, especially for private and seasonal facilities. CONCLUSION: Public and low-cost exercise facilities were more proximate in low SES areas, but the overall number of facilities was lower in these areas compared with higher SES areas. Increasing the number of exercise facilities in lower SES areas may be an intervention to improve health equity.

Reducing Inequities in Early Childhood Mental Health: How Might the Neighborhood Built Environment Help Close the Gap? A Systematic Search and Critical Review.

BACKGROUND: Optimal mental health in early childhood is key to later mental health, physical health, education, and social outcomes; yet, children facing disadvantage tend to have worse mental health and fewer opportunities to develop this foundation. An emerging body of research shows that neighborhoods provide important opportunities for the development of children's mental health. Synthesizing this evidence can advance understandings of the features of the neighborhood built environment (e.g., housing, parks) that (1) promote optimal mental health in childhood and (2) reduce mental health inequities. METHODS: We systematically searched and critically reviewed the international quantitative literature investigating associations between the neighborhood built environment and young children's mental health. RESULTS: 14 articles met inclusion criteria; most examined nature or public open space. Studies tended to find greater access to or quantity of neighborhood nature or public open space were associated with better mental health. Significant gaps included a lack of studies investigating social infrastructure, and few studies examined how the built environment related to positive mental health (i.e., functioning, rather than problems). CONCLUSIONS: Current evidence suggests there is some relationship, but additional research is needed that addresses these gaps and examines differences in associations between child subgroups (e.g., diverse socioeconomic backgrounds).

Liveable for whom? Prospects of urban liveability to address health inequities.

The aspiration of liveable cities, underpinned by the New Urban Agenda, is gaining popularity as a mechanism to enhance population health and wellbeing. However, less attention has been given to understanding how urban liveability may provide an opportunity to redress health inequities. Using an environmental justice lens, this paper investigates whether urban liveability poses an opportunity or threat to reducing health inequities and outlines a future research agenda. Selected urban liveability attributes, being: education; employment; food, alcohol, and tobacco; green space; housing; transport; and walkability, were investigated to understand how they can serve to widen or narrow inequities. Some domains showed consistent evidence, others suggested context-specific associations that made it difficult to draw general conclusions, and some showed a reverse patterning with the social gradient, but with poorer outcomes. This suggests urban liveability attributes have equigenic potential, but operate within a complex system. We conclude more disadvantaged neighbourhoods and their residents likely have additional policy and design considerations for optimising outcomes, especially as changes to the contextual environment may impact neighbourhood composition through displacement and/or pulling up effects. Future research needs to continue to explore downstream associations using longitudinal and natural experiments, and also seek to gain a deeper understanding of the urban liveability system, including interactions, feedback loops, and non-linear and linear responses. There is a need to monitor neighbourhood population changes over time to understand how liveability impacts the most vulnerable. Other areas worthy of further investigation include applying a life course approach and understanding liveability within the context of other adversities and contextual settings.

The impact of multidimensional disadvantage over childhood on developmental outcomes in Australia.

Background: Understanding the relationship between different aspects of disadvantage over time and domains of child development will facilitate the formulation of more precise policy responses. We examined the association between exposure to aspects of disadvantage over the childhood period (from 0-9 years) and child development at 10-11 years. Methods: We used data from the nationally representative birth cohort of the Longitudinal Study of Australian Children (n = 4979). Generalized linear models with log-Poisson link were used to estimate the association between previously derived disadvantage trajectories (in each of four lenses of sociodemographic, geographic environments, health conditions and risk factors, and a composite of these) and risk of poor child developmental outcomes. Population-attributable fractions were calculated to quantify the potential benefit of providing all children with optimal conditions for each developmental outcome. Results: Trajectories of disadvantage were associated with developmental outcomes: children in the most disadvantaged composite trajectory had seven times higher risk of poor outcomes on two or more developmental domains, compared with those most advantaged. Trajectories of disadvantage in different lenses were varyingly associated with the child development domains of socio-emotional adjustment, physical functioning and learning competencies. Exposure to the most advantaged trajectory across all lenses could reduce poor developmental outcomes by as much as 70%. Conclusions: Exposure to disadvantage over time is associated with adverse child development outcomes. Developmental outcomes varied with the aspects of disadvantage experienced, highlighting potential targets for more precise policy responses. The findings provide evidence to stimulate advocacy and action to reduce child inequities.

More than a snapshot in time: pathways of disadvantage over childhood.

Background: Disadvantage rarely manifests as a single event, but rather is the enduring context in which a child's development unfolds. We aimed to characterize patterns of stability and change in multiple aspects of disadvantage over the childhood period, in order to inform more precise and nuanced policy development. Methods: Participants were from the Longitudinal Study of Australian Children birth cohort (n = 5107). Four lenses of disadvantage (sociodemographic, geographic environment, health conditions and risk factors), and a composite of these representing average exposure across all lenses, were assessed longitudinally from 0 to 9 years of age. Trajectory models identified groups of children with similar patterns of disadvantage over time for each of these lenses and for composite disadvantage. Concurrent validity of these trajectory groups was examined through associations with academic performance at 10-11 years. Results: We found four distinct trajectories of children's exposure to composite disadvantage, which showed high levels of stability over time. In regard to the individual lenses of disadvantage, three exhibited notable change over time (the sociodemographic lens was the exception). Over a third of children (36.3%) were exposed to the 'most disadvantaged' trajectory in at least one lens. Trajectories of disadvantage were associated with academic performance, providing evidence of concurrent validity. Conclusions: Children's overall level of composite disadvantage was stable over time, whereas geographic environments, health conditions and risk factors changed over time for some children. Measuring disadvantage as uni-dimensional, at a single time point, is likely to understate the true extent and persistence of disadvantage.