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This study's aim was to examine selected objectively-measured and child specific built environment attributes in relation to proportion of out-of-school time spent in moderate-to-vigorous physical activity (%MVPA) and active travel in a group of ethnically and socio-economically diverse children (n=236) living in Auckland, New Zealand. Street connectivity and distance to school were related to the proportion of trips made by active modes. Ratio of high speed to low speed roads and improved streetscape for active travel were related to %MVPA on weekdays only. Inconsistent results were found for destination accessibility. Local destinations (particularly schools) along a safe street network may be important for encouraging children's activity behaviours. [ABSTRACT FROM AUTHOR]

Public open spaces such as parks and green spaces are key built environment elements within neighbourhoods for encouraging a variety of physical activity behaviours. Over the past decade, there has been a burgeoning number of active living research studies examining the influence of public open space on physical activity. However, the evidence shows mixed associations between different aspects of public open space (e.g., proximity, size, quality) and physical activity. These inconsistencies hinder the development of specific evidence-based guidelines for urban designers and policy-makers for (re)designing public open space to encourage physical activity. This paper aims to move this research agenda forward, by identifying key conceptual and methodological issues that may contribute to inconsistencies in research examining relations between public open space and physical activity. [ABSTRACT FROM AUTHOR]

Studies on the mismatch between objective and perceived measures of walkability and walking provide insights into targeting interventions. These studies focused on those living in more walkable environments, but perceiving them as less walkable. However, it is equally important to understand how the other mismatch (living in less walkable areas, but perceiving them as walkable) is related to walking. This study examined how the mismatch between perceived and objective walkability measures (i.e., living in less walkable areas, but perceiving them as walkable, and living in more walkable areas, but perceiving them as less walkable) was associated with walking. Baseline data from adult participants ( n = 1466) of the RESIDential Environment Project (Perth, Australia in 2004-06) collected self-report neighborhood walking for recreation and transport in a usual week and participants' perceptions of street connectivity and land use mix in their neighborhood. The exposure was the mismatch between objective and perceived measures of these. Multilevel logistic regression examined associations of walking with the mismatch between perceived and objective walkability measures. Perceiving high walkable attributes as low walkable was associated with lower levels of walking, while perceiving a low walkable attribute as walkable was associated with higher levels of walking. Walking interventions must create more pedestrian-friendly environments as well as target residents' perceptions. [ABSTRACT FROM AUTHOR]

Issue addressed Growing evidence shows that higher-density, mixed-use, pedestrian-friendly neighbourhoods encourage active transport, including transport-related walking. Despite widespread recognition of the benefits of creating more walkable neighbourhoods, there remains a gap between the rhetoric of the need for walkability and the creation of walkable neighbourhoods. Moreover, there is little objective data to benchmark the walkability of neighbourhoods within and between Australian cities in order to monitor planning and design intervention progress and to assess built environment and urban policy interventions required to achieve increased walkability. This paper describes a demonstration project that aimed to develop, trial and validate a 'Walkability Index Tool' that could be used by policy makers and practitioners to assess the walkability of local areas; or by researchers to access geospatial data assessing walkability. The overall aim of the project was to develop an automated geospatial tool capable of creating walkability indices for neighbourhoods at user-specified scales. Methods The tool is based on open-source software architecture, within the Australian Urban Research Infrastructure Network (AURIN) framework, and incorporates key sub-component spatial measures of walkability (street connectivity, density and land use mix). Results Using state-based data, we demonstrated it was possible to create an automated walkability index. However, due to the lack of availability of consistent of national data measuring land use mix, at this stage it has not been possible to create a national walkability measure. The next stage of the project is to increase useability of the tool within the AURIN portal and to explore options for alternative spatial data sources that will enable the development of a valid national walkability index. Conclusion AURIN's open-source Walkability Index Tool is a first step in demonstrating the potential benefit of a tool that could measure walkability across Australia. It also demonstrates the value of making accurate spatial data available for research purposes. So what? There remains a gap between urban policy and practice, in terms of creating walkable neighbourhoods. When fully implemented, AURIN's walkability tool could be used to benchmark Australian cities against which planning and urban design decisions could be assessed to monitor progress towards achieving policy goals. Making cleaned data readily available for research purposes through a common portal could also save time and financial resources. [ABSTRACT FROM AUTHOR]

The article discusses the benefits of using a conceptual framework in promoting healthy local food environments (LFE) and how they can be translated into urban planning policy and practice. Topics include the importance of community food environment, the importance of evidence-based LFE indicators to address dietary and health inequities in local area, and the development of the conceptual framework and how they works.

Background: Active transport can contribute to physical activity accumulation and improved health in adults. The built environment is an established associate of active transport behaviours; however, assessment of environmental features encountered during journeys remains challenging. The purpose of this study was to examine the utility of wearable cameras to objectively audit and quantify environmental features along work-related walking and cycling routes. Methods: A convenience sample of employed adults was recruited in New Zealand, in June 2011. Participants wore a SenseCam for all journeys over three weekdays and completed travel diaries and demographic questionnaires. SenseCam images for work-related active transport journeys were coded for presence of environmental features hypothesised to be related to active transport. Differences in presence of features by transport mode and in participant-reported and SenseCam-derived journey duration were determined using two-sample tests of proportion and an independent samples t-test, respectively. Results: Fifteen adults participated in the study, yielding 1749 SenseCam images from 30 work-related active transport journeys for coding. Significant differences in presence of features were found between walking and cycling journeys. Almost a quarter of images were uncodeable due to being too dark to determine features. There was a non-significant tendency for respondents to under-report their journey duration. Conclusion: This study provides proof of concept for the use of the SenseCam to capture built environment data in real time that may be related to active transportation. Further work is required to test and refine coding methodologies across a range of settings, travel behaviours, and demographic groups. [ABSTRACT FROM AUTHOR]

Measures of individual mobility, such as activity space, have been previously used to help improve our understanding of individuals' interactions with their everyday environments. However, such methods have rarely been adopted in studying children's physical activity and active travel behavior. In this study, we use a combination of participatory mapping and accelerometer data collected from children aged 8–13 years living in Tāmaki Makaurau/Auckland, Aotearoa/New Zealand, to describe children's travel behavior and explore associations of active travel, physical activity, and socio-demographic characteristics with environmental attributes. The results from this study reveal complex associations between these different layers. Density of cycling routes was consistently associated with higher levels of physical activity captured via moderate-to-vigorous physical activity (MVPA), prevalence of active travel, and total activity space exposure. Nevertheless, population density, greenspace, and land-use mix revealed varying associations across different activity behaviors including MVPA, number of steps, and prevalence of active travel. The results from this study not only reassert the complexity of person–environment relationships, but also highlight the potential impacts of measurement and analytical methods on the study results. The novel combination of participatory mapping and accelerometer data together with activity space analysis provided new analytical insights which we discuss in this paper. This study concludes by reporting its observations and envisioning future research directions. [ABSTRACT FROM AUTHOR]

Background: Built environment attributes are recognized as being important contributors to physical activity (PA) engagement and body size in adults and children. However, much of the existing research in this emergent public health field is hindered by methodological limitations, including: population and site homogeneity, reliance on self-report measures, aggregated measures of PA, and inadequate statistical modeling. As an integral component of multi-country collaborative research, the Understanding the Relationship between Activity and Neighbourhoods (URBAN) Study seeks to overcome these limitations by determining the strengths of association between detailed measures of the neighborhood built environment with PA levels across multiple domains and body size measures in adults and children. This article outlines the research protocol developed for the URBAN Study. Methods and design: The URBAN Study is a multi-centered, stratified, cross-sectional research design, collecting data across four New Zealand cities. Within each city, 12 neighborhoods were identified and selected for investigation based on higher or lower walkability and Māori demographic attributes. Neighborhoods were selected to ensure equal representation of these characteristics. Within each selected neighborhood, 42 households are being randomly selected and an adult and child (where possible) recruited into the study. Data collection includes: objective and self-reported PA engagement, neighborhood perceptions, demographics, and body size measures. The study was designed to recruit approximately 2,000 adults and 250 children into the project. Other aspects of the study include photovoice, which is a qualitative assessment of built environment features associated with PA engagement, an audit of the neighborhood streetscape environment, and an individualized neighborhood walkability profile centered on each participant's residential address. Multilevel modeling will be used to examine the individual-level and neighborhood-level relationships with PA engagement and body size. Discussion: The URBAN Study is applying a novel scientifically robust research design to provide urgently needed epidemiological information regarding the associations between the built environment and health outcomes. The findings will contribute to a larger, international initiative in which similar neighborhood selection and PA measurement procedures are utilized across eight countries. Accordingly, this study directly addresses the international priority issues of increasing PA engagement and decreasing obesity levels. [ABSTRACT FROM AUTHOR]

Growing evidence has shown that urban green space (UGS) in neighbourhoods can substantially enhance residents' well-being. This study focuses on the possible inequitable UGS distribution among priority population groups of city-dwellers in the region of Tāmaki Makaurau, Aotearoa New Zealand. UGS availability was calculated using coverage ratio of service area and Overlap/cumulative opportunity. UGS accessibility was measured using Gaussian-based two-step floating catchment area. Bivariate analysis, spatial regression, ordinary least squares estimation, and Moran's I were employed to explore the potential inequality between UGS distribution and priority population groups. The results revealed that most deprived neighbourhoods tended to have more UGS availability but less accessibility. Children, adolescents and elderly were likely to have less potential opportunity to choose different UGS to visit. Areas with a higher proportion of Māori had less UGS availability and Pacific populations had less accessibility. Neighbourhoods with a higher proportion of Asian people had more UGS availability but less accessibility. This study adds new evidence to UGS inequality in priority population groups by contributing a regional investigation in a developed country. The results can inform policy makers and planners on where and how to implement UGS and on which groups to focus on to prevent further disparities. [Display omitted] • No inequality in greenspace (UGS) distribution in home areas was found for females. • Most deprived neighbourhoods have more UGS availability but less accessibility. • Child, adolescent and elderly were have less opportunity to choose different UGS. • Ethnic Māori had less UGS availability and Pacific people had less accessibility. • Ethnic Asian population had more UGS availability but less accessibility. [ABSTRACT FROM AUTHOR]

• Higher greenness associated with reduced adolescent depressive symptoms. • More natural features associated with reduced adolescent depressive symptoms. • No relationship between blue space and adolescent emotional health. Natural environments – green spaces, blue spaces (such as lakes, rivers and beaches), and biodiversity – have potential health benefits. However, there is lack of knowledge about the relationships between these environments and adolescent emotional health. Our study assessed the relationship between the natural environments of residential neighbourhoods and the emotional health of adolescents living in urban New Zealand. Data from 4575 adolescents were drawn from the 2012 wave of the Youth2000 survey series. Emotional health was assessed using the World Health Organization-5 Well-being Index and depressive symptoms were measured using the Reynolds Adolescent Depression Scale-short form. Measures of greenness, vegetation diversity, blue spaces, and a composite available nature index were calculated for participant residential neighbourhoods (within 400 m, 800 m, and 1600 m of the residential address). Cross-classified multilevel linear models were used to assess relationships between each natural environment exposure and each emotional health outcome, and adjusted for sex, age, ethnicity, household deprivation, and neighbourhood deprivation. Results showed significant relationships between reduced depressive symptoms and increased mean greenness, presence of native vegetation, and having a higher nature availability index. Unexpectedly, greater variability in greenness was associated with reduced wellbeing. Our study provides novel evidence of the importance of natural environments for the emotional health of adolescents, adding to mounting evidence that it is important to protect, rehabilitate and plan for natural spaces in urban areas. [ABSTRACT FROM AUTHOR]

Background: Living in walkable neighborhoods may provide long-term cardio-metabolic health benefits to residents. Little empirical research has examined the behavioral mechanisms in this relationship. In this longitudinal study, we examined the potential mediating role of physical activity (baseline and 12-year change) in the relationships of neighborhood walkability with 12-year changes in cardio-metabolic risk markers. Methods: The Australian Diabetes, Obesity and Lifestyle study collected data from adults, initially aged 25+ years, in 1999–2000, 2004–05, and 2011–12. We used 12-year follow-up data from 2023 participants who did not change their address during the study period. Outcomes were 12-year changes in waist circumference, weight, systolic and diastolic blood pressure, fasting and 2-h postload plasma glucose, high-density lipoprotein cholesterol, and triglycerides. A walkability index was calculated, using dwelling density, intersection density, and destination density, within 1 km street-network buffers around participants' homes. Spatial data for calculating these measures were sourced around the second follow-up period. Physical activity was assessed by self-reported time spent in moderate-to-vigorous physical activity (including walking). Multilevel models, adjusting for potential confounders, were used to examine the total and indirect relationships. The joint-significance test was used to assess mediation. Results: There was evidence for relationships of higher walkability with smaller increases in weight (P = 0.020), systolic blood pressure (P < 0.001), and high-density lipoprotein cholesterol (P = 0.002); and, for relationships of higher walkability with higher baseline physical activity (P = 0.020), which, in turn, related to smaller increases in waist circumference (P = 0.006), weight (P = 0.020), and a greater increase in high-density lipoprotein cholesterol (P = 0.005). There was no evidence for a relationship of a higher walkability with a change in physical activity during the study period (P = 0.590). Conclusions: Our mediation analysis has shown that the protective effects of walkable neighborhoods against obesity risk may be in part attributable to higher baseline physical activity levels. However, there was no evidence of mediation by increases in physical activity during the study period. Further research is needed to understand other behavioral pathways between walkability and cardio-metabolic health, and to investigate any effects of changes in walkability. [ABSTRACT FROM AUTHOR]

Background: Adolescents engage in various combinations (typologies) of physical activity and sedentary behaviors, which impact their health and wellbeing in different ways. As such, there is a need to understand the factors that may inhibit or facilitate engagement in combinations of activity-related behaviors to help inform effective intervention strategies targeting those most in need. The aim of this study was to identify ecological correlates of adolescent physical activity and sedentary behavior typologies.Methods: Cross-sectional study of 473 adolescents (15.0 ± 1.6 years, 41.4% boys) from 18 secondary schools in Melbourne, Australia. Intrapersonal, interpersonal and neighborhood-physical environmental factors were assessed via self-report surveys and Geographic Information Systems. Multinomial logistic regression models determined the relative risk ratio of membership of three homogenous activity-related behavior typologies based on the potential correlates.Results: Higher levels of self-efficacy for physical activity, parental screen-time restriction rules, parental support for physical activity, sibling screen-time co-participation and perceptions of neighborhood pedestrian/traffic safety were associated with greater likelihood of adolescents being in the typology defined as highly active and low sedentary compared to the physically inactive, highly sedentary typology. Higher frequency of co-participation in screen-time with friends was associated with greater likelihood of adolescents being in the typology defined as moderately active, high screen-time compared to physically inactive, highly sedentary.Conclusions: A range of intrapersonal, interpersonal and environmental correlates appear to play a role in adolescent activity-related typology membership. The findings may inform public health interventions targeting unique adolescent subgroups most at risk of poor health outcomes based on their engagement in combinations of activity-related behaviors. [ABSTRACT FROM AUTHOR]

Aim: To examine associations of neighborhood greenery, air pollution and walkability with cardiometabolic disease in adults aged ≥45 years in the Frankston–Mornington Peninsula region, Victoria, Australia. Methods: A cross‐sectional, ecological study design was used. We assessed mean annual neighborhood greenery using the Normalized Difference Vegetation Index; air pollution (fine particulate matter of diameter ≤2.5 μm [PM2.5] and NO2) using land‐use regression models; and walkability using Walk Score (possible values 0–100). Medically diagnosed diabetes (~95% type‐2), heart disease and stroke were self‐reported in the Australian Census (2021). Multivariable regression was used to model associations between environmental exposures and area‐level (neighborhood) cardiometabolic disease prevalence (age group ≥45 years), with socioeconomic status, age and sex as covariates. Air pollution was examined as a mediator of associations between greenery and disease prevalence. Results: Our sample comprised 699 neighborhoods with the following mean (SD) values: Normalized Difference Vegetation Index 0.47 (0.09), PM2.5, 8.5 (0.6) μg/m3 and NO2, 5.2 (1.6) ppb. Disease prevalences were: heart disease, mean 8.9% (4.5%); diabetes, mean 10.3% (4.7%); and stroke, median 1.2% (range 0–10.9%). Greenery was negatively associated with diabetes (β = −5.85, 95% CI −9.53, −2.17) and stroke prevalence (β = −1.26, 95% CI −2.11, −0.42). PM2.5 and NO2 were positively associated with diabetes (β = 1.59, 95% CI 1.00, 2.18; β = 0.42, 95% CI 0.22, 0.62) and stroke prevalence (β = 0.15, 95% CI 0.01, 0.29; β = 0.06, 95% CI 0.01, 0.10). The association between greenery and diabetes was partially mediated by PM2.5 (mediated effect −5.38, 95% CI −7.84, −3.03). Conclusions: Greenery and air pollutants were associated with lower and higher prevalence, respectively, of self‐reported diabetes and, to a lesser extent, stroke. These ecological findings require further exploration with stronger, longitudinal study designs to inform public health policy and directions. Geriatr Gerontol Int 2024; 24: 208–214. [ABSTRACT FROM AUTHOR]

Objective: When using global positioning systems (GPS) to assess an individual’s exposure to their environment, a first step in data cleaning is to establish minimum GPS ‘inclusion criteria’ (a set of rules used to determine which GPS data are able to be included in analyses). Care is needed at this stage to avoid any data exclusion (data loss) systematically biasing results in terms of characteristics of the environment and participants. The extent of potential systematic bias in sample retention due to GPS data loss and application of GPS inclusion criteria is unknown. The aim of this study was to describe differences in sample size and socio-demographic characteristics of the retained sample when applying three different GPS inclusion criteria. The study assessed 7-day GPS data collected from children (aged 9–13 years) recruited from nine schools in Auckland, New Zealand as part of the Kids in the City study. Results: Participants from ethnic minorities and those attending schools in lower socioeconomic areas were disproportionately excluded from the retained samples. This highlights potential equity implications in basing the assessment of exposure—which ultimately influences research results on the relationship between environment and health—on non-representative GPS data. [ABSTRACT FROM AUTHOR]

Background: Participation in community life is vital for health and wellbeing, promoting a sense of belonging, networks of social support and opportunities for physical activity. Disabled young people have lower levels of mobility and participation in recreational activities (physical, social and cultural), education and employment, than their peers without disabilities. This has implications for their health and wellbeing and life course opportunities. Previous research on the participation levels of disabled young people has primarily relied on parent/caregiver reports and been oriented to home and school environments. This study investigates how physical and social environmental factors cohere to support or restrict the everyday mobility and participation of disabled young people.Methods/design: The study is located in Auckland, Aotearoa/New Zealand (NZ). Participants comprise 35 young people aged 12-25 years with mobility, vision or hearing impairments. A mixed-methods research design combines objective (global positioning systems, accelerometers, geographical information systems) and self-report measures (travel diaries, and questionnaires) to assess young people's mobility and levels of participation in leisure/educational and employment activities with in-depth interviews exploring their everyday experiences of inclusion/exclusion, and factors enabling or constraining community participation. Parents/caregivers and disability sector key informant viewpoints on the community participation of disabled young people have also been gathered through in-depth interviews. Follow-up workshops with young people and parents/caregivers will identify pathways to increase participation and challenge current disabling practices.Discussion: This study looks beyond barriers in the physical environment to the interplay of personal, social and physical factors that enable or constrain the community participation of disabled young people. In keeping with the study's overarching goal of increasing opportunities for effective community participation and full citizenship of disabled young people, research methods were applied flexibily - negotiated and adapted to maximise each young person's participation in light of their abilities and preferences. [ABSTRACT FROM AUTHOR]

Background: Melbourne, Australia is experiencing rapid population growth, with much of this occurring in metropolitan outer suburban areas, also known as urban growth areas. Currently little is known about differences in travel times when using private and public transport to access primary and secondary services across Melbourne's urban growth areas. Plan Melbourne Refresh, a recent strategic land use document has called for a 20 min city, which is where essential services including primary health care, can be accessed within a 20 min journey. Type 2 diabetes mellitus (T2DM) is a major chronic condition in Australia, with some of Melbourne's growth areas having some of the highest prevalence across Australia. This study explores travel times to diabetic health care services for populations residing in inner, middle and outer suburbs of metropolitan Melbourne.Method: Geographic information systems (GIS) software were used to map the location of selected diabetic primary and secondary health care service providers across metropolitan inner, middle, outer established, outer urban growth and outer fringe areas of Melbourne. An origin-destination matrix was used to estimate travel distances from point of origin (using a total of approximately 50,000 synthetic residential addresses) to the closest type of each diabetic health care service provider (destinations) across Melbourne. ArcGIS was used to estimate travel times for private transport and public transport; comparisons were made by area.Results: Our study indicated increased travel times to diabetic health services for people living in Melbourne's outer growth and outer fringe areas compared with the rest of Melbourne (inner, middle and outer established). Compared with those living in inner city areas, the median time spent travelling to diabetic services was between 2.46 and 23.24 min (private motor vehicle) and 12.01 and 43.15 min (public transport) longer for those living in outer suburban areas. Irrespective of travel mode used, results indicate that those living in inner and middle suburbs of Melbourne have shorter travel times to access diabetic health services, compared with those living in outer areas of Melbourne. Private motor vehicle travel times were approximately 4 to 5 times faster than public transport modes to access diabetic health services in all areas.Conclusion: Those living in new urban growth communities spend considerably more time travelling to access diabetic health services - particularly specialists - than those living in established areas across Melbourne. [ABSTRACT FROM AUTHOR]

Walking for transport is a potential solution to increasing physical activity in mid to older aged adults however neighbourhood crime may be a barrier. Using data from the How Areas in Brisbane Influence HealTh and AcTivity (HABITAT) study 2007–2016, this study examined associations between changes in crime (perceived crime and objectively measured crime) and changes in transport walking, and whether this association differed by gender. Fixed effects regression modelled associations between changes in crime and changes in transport walking, with interaction terms examining effect modification by gender. Positive associations were found between crimes against person and walking for transport. There was no evidence of effect modification by gender. Understanding the relationship between crime and walking for transport can inform policies aimed at promoting transport walking. • Fixed effects models analysed neighbourhood crime and transport walking. • Focus on mid to older aged adults. • Positive association found for crimes against person and transport walking. • The findings can inform policies aimed at promoting transport walking. [ABSTRACT FROM AUTHOR]

Public open spaces (POS) are key neighbourhood destinations shown to confer numerous physical and mental health benefits. The amount and spatial distribution of POS throughout cities are guided by urban planning policies and standards. However, empirical evidence is not generally used to create POS standards. Developing and testing POS indices associated with positive health outcomes, can inform evidence-based POS urban design and planning standards that support the creation of healthier cities. This study examined associations of urban design policy-derived and empirical measures of POS proximity and density with walking and depression. The 2011–12 Australian Diabetes, Obesity and Lifestyle study (AusDiab) wave data were used. Adults living in metropolitan Melbourne, Australia were included ( n = 319). Participants reported walking for recreation and any walking within their neighbourhood during the last week. Depression was calculated using the Center for Epidemiologic Studies Short Depression Scale (CESD-10). Informed by Australian urban design policies and empirical evidence, various POS measures were calculated at different street network distances around residential addresses using geographic information systems software. Measures tested included: distance to nearest POS, size of nearest POS, total number of POS, and area of POS at scales of 400, 800, 1000, and 1600 m. Associations of these POS measures with walking and depression were examined using adjusted multilevel logistic regression models. Overall 68% and 77% of participants reported walking for recreation and any walking in the past week, respectively; and about 13% were categorized as depressed. Living within 400 m of POS was not associated with either type of walking, but those whose nearest POS was > 1.5 ha had 1.90 and 2.66 times greater odds of walking for recreation and any walking during the last week, respectively. In Melbourne, the urban design policy standard is that POS be available within 400 m of homes. In our study, this standard was not associated with walking or depression; however having a larger POS nearby supported residents' walking. This study highlights the importance of assessing such standards for their potential health impact, and warrants further investigation. [ABSTRACT FROM AUTHOR]

Limited research has explored associations between blue spaces and mental health, specifically in children. This study assessed links between coastal proximity and depression and anxiety among children in Australia and tested whether duration of residency at current address moderated associations. It also explored associations between within‐individual changes in coastal proximity and changes in depression and anxiety. Data were from 2400 children aged 11–12 years in Wave 5 (2012) and aged 14–15 years in Wave 6 (2014) of the national Longitudinal Study of Australian Children. Outcomes were children's self‐reported symptoms of depression and anxiety. Exposure was coastal proximity (<2, 2–<5, 5–<10, 10–<20, 20–<50, and ≥50 km). Linear models were fitted to examine cross‐sectional associations and fixed effects models for within‐individual associations. After adjustment for potential confounders, findings suggested that those living close to the coast (<2 km) had lower levels of depression than those living the furthest from the coast (≥50 km) during childhood (Wave 5) but not adolescence (Wave 6). No associations were observed with anxiety. There was weak evidence to suggest residency duration moderated associations. No associations were observed for within‐individual changes. Further research is needed to understand whether and what characteristics of coastal environments may benefit children's mental health. This study assessed links between coastal proximity and depression and anxiety among children in Australia. Findings suggested those living close to the coast (<2km) had lower levels of depression than those living the furthest from the coast (≥50km) during childhood (11–12 years old) but not adolescence (14–15 years old). [ABSTRACT FROM AUTHOR]

Nurturing relationships are crucial for adaptive child development. The objectives of the study were to investigate whether nature availability was associated with early nurturing parenting practices, mother-infant bonding, and infant socioemotional function. Data were from the Australian Temperament Project (n = 809 infants to 515 parents residing in Victoria, Australia) and were linked cross-sectionally to residential greenness (i.e., Normalized Difference in Vegetation Index). There were no observable associations between residential greenness within a 1,600 m network radius and parenting practices, mother-infant bonding, or infant socioemotional function. The findings were largely corroborated by sensitivity analyses (i.e., NDVI within 100, 250, 500, and 1,000 m and distance to park). Shorter distances to a park were associated with less hostile parenting. More residential greenness (1,000 and 1,600 m) was associated with stronger father-infant bonding and more hostile parenting amongst the most stressed parents in exploratory analyses. Residential greenness might be a socioecological precursor for father-infant bonding. [ABSTRACT FROM AUTHOR]

The street network underpins the walkability of local neighborhoods. We examined whether two street network measures (intersection density and street integration from space syntax) were independently associated with walking for transport (WT); and, to what extent the relationship of street integration with WT may be explained by the presence of destinations. In 2003-2004, adults living in Adelaide, Australia (n=2544) reported their past-week WT frequency and perceived distances to 16 destination types. Marginal models via generalized estimating equations tested mediation effects. Both intersection density and street integration were significantly associated with WT, after adjusting for each other. Perceived destination availability explained 42% of the association of street integration with WT; this may be because of an association between street integration and local destination availability - an important element of neighborhood walkability. The use of space syntax concepts and methods has the potential to provide novel insights into built-environment influences on walking. [ABSTRACT FROM AUTHOR]

[Display omitted] • First study on neighbourhood environmental correlates of transition to mild cognitive impairment (MCI). • Access to services and street connectivity associated with better trajectories of cognitive health. • Increases in parkland associated with increases in verbal memory. • Higher annual average PM 2.5 and NO 2 levels associated with steeper declines and decreases in cognitive health. • Ambient air pollution and built and natural environments all related to transition to MCI. Urban neighbourhood environments may impact older adults' cognitive health. However, longitudinal studies examining key environmental correlates of cognitive health are lacking. We estimated cross-sectional and longitudinal associations of neighbourhood built and natural environments and ambient air pollution with multiple cognitive health outcomes in Australian urban dwellers aged 60+ years. The study included 1160 participants of the PATH Through Life study (60+ cohort) who were followed up for 12 years (four assessments; 2001/02 to 2013/15) and with data on socio-demographics, health, cognitive functions and diagnoses, and full residential address. Neighbourhood environmental features encompassed population and street-intersection densities, non-commercial land use mix, transit points, presence of blue space, percentages of commercial land, parkland and tree cover, and annual average PM 2.5 and NO 2 concentrations. All exposures except for tree cover were assessed at two time points. Generalised additive mixed models estimated associations of person-level average, and within-person changes in, exposures with cognitive functions. Multi-state hidden Markov models estimated the associations of neighbourhood attributes with transitions to/from mild cognitive impairment (MCI). Dense, destination-rich neighbourhoods were associated with a lower likelihood of transition to MCI and reversal to no MCI. Positive cross-sectional and longitudinal associations of non-commercial land use mix, street intersection density and percentage of commercial land were observed especially with global cognition and processing speed. While access to parkland and blue spaces were associated with a lower risk of transition to MCI, the findings related to cognitive functions were mixed and supportive of an effect of parkland on verbal memory only. Higher levels of PM 2.5 and NO 2 were consistently associated with steeper declines and/or decreases in cognitive functions and worse cognitive states across time. To support cognitive health in ageing populations, neighbourhoods need to provide an optimal mix of environmental complexity, destinations and access to the natural environment and, at the same time, minimise ambient air pollution. [ABSTRACT FROM AUTHOR]

There is evidence that neighbourhood walkability and greenery are associated with walking, but less is known about their joint associations. We investigated this using data from the AusDiab3 study (2011/12) with 3032 adults (mean age 60 years). Two-level logistic regression models were used with binary walking outcomes. There was an inverse relationship (r = −0.5) between walkability (a composite measure of residential, destinations and intersections densities) and greenery (the size of densely vegetated areas). However, both walkability and greenery were independently positively associated with odds of walking. Regarding joint associations, in low-walkability neighbourhoods, greenery was positively associated with walking. In high-walkability neighbourhoods, greenery was not associated with walking. • Associations with walkability and greenery with walking were examined. • High- and low-walkability neighbourhoods had less and more greenery, respectively. • Walkability and greenery were independently beneficially associated with walking. • In low-walkability neighbourhoods, greenery was beneficially associated with walking. • In high-walkability neighbourhoods, greenery was not associated with walking. [ABSTRACT FROM AUTHOR]

Background: Outdoor public recreation spaces are important settings for leisure and physical activity. Adolescents' use of these spaces may contribute to social connectedness via social interaction with peers and the community in these settings. However, research on this topic is limited. This exploratory study examined associations of frequency of visitation and physical activity in outdoor public recreation spaces with social connectedness among adolescents in Melbourne, Australia. Methods: Adolescents self-reported their frequency of visitation to parks, trails, beach/lake, and sports facilities; frequency of physical activity in a park, local street or path, and their street; and social connectedness. Separate analyses were conducted for visitation (n = 349, 15.4 ± 1.6 years, 58% female) and physical activity (n = 441, 15.4 ± 1.6 years, 59% female) using multilevel linear regression models. Results: No significant associations were observed for frequency of visitation to a park (B = 0.86, 95% CI = − 0.26, 1.99), trails (B = 0.41, 95% CI = − 0.61, 1.44), beach/lake (B = − 0.44, 95% CI = − 1.46, 0.57), or sports facilities (B = 0.64, 95% CI = − 0.43, 1.70), nor for frequency of physical activity in their street (B = − 0.07, 95% CI = − 0.46, 0.31), local street/path (B = − 0.05, 95% CI = − 0.43, 0.33) or in a park (B = 0.23, 95% CI = − 0.14, 0.60) with adolescents' social connectedness. Conclusions: The findings did not support the hypothesis that visiting and being active in outdoor public recreation spaces are associated with adolescents' social connectedness. Future research should consider the duration and context of outdoor public recreation space use (e.g., sports, socialising, relaxing alone) and whether different types and/or a combination of public spaces are more/less conducive to social connectedness. [ABSTRACT FROM AUTHOR]

Road transport has been a major contributor to New Zealand’s increasing rate of CO2 emissions over the past 15 years. New Zealand Travel Survey (NZTS) data show that 29% of the kilometres travelled by households are for social and recreational purposes. These trips are less amenable to the travel demand management strategies applied in work and school settings (such as increasing public transport, parking restrictions and travel plans) because they occur at all times of the day and all days of the week, and trips are taken to an unlimited number of destinations. To understand the characteristics of social and recreational travel, an analysis of the destinations of the 18,299 social and recreational trips recorded in the 2003-2006 NZTS was undertaken. Transport mode use for the most common trip destinations was compared and differences in trip patterns by gender, age, ethnicity and neighbourhood deprivation were examined. It was found that trips to visit family and friends and recreational trips to open spaces such as beaches, lakes and parks are the most common destination categories and those least often made on foot. The potential and limitations of virtual mobility and urban design to reduce CO2 emissions from household social and recreational travel are discussed. [ABSTRACT FROM AUTHOR]

Background: The home environment is the most important location in young children's lives, yet few studies have examined the relationship between the outdoor home environment and child physical activity levels, and even fewer have used objectively measured exposures and outcomes. This study examined relationships between objectively assessed home yard size and greenness, and child physical activity and outdoor play.Methods: Data were drawn from the HealthNuts study, a longitudinal study of 5276 children in Melbourne, Australia. We used cross-sectional data from a sample at Wave 3 (2013-2016) when participants were aged 6 years (n = 1648). A sub-sample of 391 children had valid accelerometer data collected from Tri-axial GENEActive accelerometers worn on their non-dominant wrist for 8 consecutive days. Yard area and greenness were calculated using geographic information systems. Objective outcome measures were minutes/day in sedentary, light, and moderate-vigorous physical activity (weekday and weekend separately). Parent-reported outcome measures were minutes/day playing outdoors (weekend and weekday combined). Multi-level regression models (adjusted for child's sex, mother's age at the birth of child, neighbourhood socioeconomic index, maternal education, and maternal ethnicity) estimated effects of yard size and greenness on physical activity.Results: Data were available on outdoor play for 1648 children and usable accelerometer data for 391. Associations between yard size/greenness and components of physical activity were minimal. For example, during weekdays, yard size was not associated with daily minutes in sedentary behaviour (β: 2.4, 95% CI: - 6.2, 11.0), light physical activity (β: 1.4, 95% CI: - 5.7, 8.5) or MVPA (β: -2.4, 95% CI: - 6.5, 1.7), with similar patterns at weekends. There was no relationship between median annual yard greenness and physical activity or play.Conclusion: In our study of young children residing in higher socio-economic areas of Melbourne yard characteristics did not appear to have a major impact on children's physical activity. Larger studies with greater variation in yard characteristics and identification of activity location are needed to better understand the importance of home outdoor spaces and guide sustainable city planning. [ABSTRACT FROM AUTHOR]

Most adolescents do not meet physical activity (PA) guidelines. The before-school segment has been identified as one promising opportunity for intervention; however, there is a need for contextual understanding of PA in this segment. This study aimed to examine: a) adolescents' PA levels across various locations before school (6:00am – school start), b) contributions of before-school PA to daily PA and PA guidelines, and c) correlates of location-specific before-school PA. A cross-sectional analysis was conducted using adolescents' (n = 148, mean age 14.7) accelerometer and GPS data. Adolescents averaged 9.7 min in before-school moderate-to-vigorous PA (MVPA), representing substantial contributions to daily activity. Most MVPA occurred away from home and school. Significant correlates included segment duration, age, socio-economic status, and PA self-efficacy. Future work should consider these patterns and correlates to support adolescents' PA through targeted interventions. • Adolescents spent an average of 9.7 min in moderate-to-vigorous physical activity (MVPA) in the before-school segment. • Most before-school MVPA took place in locations away from the home and school settings. • Boys were significantly more active than girls at school during this segment, but no gender differences were identified in other settings. [ABSTRACT FROM AUTHOR]

Background: Increasing emphasis has been placed on improving physical activity levels through multilevel interventions. This study aims to examine moderating effects of neighborhood safety (crime and traffic) and social support (from parent and sibling/peer) for physical activity in the relationship between the built environment and moderate-to-vigorous physical activity (MVPA) outside school hours among adolescents in Melbourne. Methods: Data were from the NEighbourhood Activity in Youth study conducted among adolescents in Melbourne, Australia (n = 358, 15.3 (SD = 1.5) years). MVPA outside school hours was assessed by accelerometer. Built environment features within 1 km and 2 km residential buffers including recreation facilities, park area, and walkability and its components were assessed using Geographic Information Systems. Neighborhood safety, social support for physical activity and sociodemographic information were self-reported by adolescents. Multilevel linear regression models were used to estimate associations. Results: Support for physical activity from sibling/peer positively moderated the relationship between recreation facilities (1 km), residential density (2 km) and MVPA. Recreation facility (count within 2 km), walkability (1 km and 2 km) and residential density (1 km) had significant positive associations with MVPA outside school hours. Conclusion: The built environment appeared to have stronger facilitating effects on MVPA among adolescents who had favourable support for physical activity from their sibling or peer. Multilevel interventions that target the built environment and social factors are needed to promote MVPA outside school hours among adolescents. [ABSTRACT FROM AUTHOR]

Food purchasing decisions are made within the context of the range of options available, yet most epidemiological studies focus upon single outlet types. Ratios of fast food outlets to supermarkets and green grocers were linked to addresses of 15,229 adults in the 45 and Up Study at baseline (2006-2008) and follow-up (2009-2010). Compared to having no fast food outlet but having healthy food outlets within 3.2km from home, multilevel growth curves revealed that relative exposure>25% fast food outlets were associated with 0.36-1.19kg/m2 higher BMI (p<0.05). These associations were consistent as people aged. No associations were observed for food outlets<0.8km. [ABSTRACT FROM AUTHOR]

Street layout is consistently associated with adults' travel behaviors, however factors influencing this association are unclear. We examined associations of street layout with travel behaviors: walking for transport (WT) and car use; and, the extent to which these relationships may be accounted for by availability of local destinations. A 24-h travel diary was completed in 2009 by 16,345 adult participants of the South-East Queensland Household Travel Survey, Australia. Three travel-behavior outcomes were derived: any home-based WT; over 30min of home-based WT; and, over 60min of car use. For street layout, a space syntax measure of street integration was calculated for each Statistical Area 1 (SA1, the smallest geographic unit in Australia). An objective measure of availability of destinations - Walk Score - was also derived for each SA1. Logistic regression examined associations of street layout with travel behaviors. Mediation analyses examined to what extent availability of destinations explained the associations. Street integration was significantly associated with travel behaviors. Each one-decile increment in street integration was associated with an 18% (95%CI: 1.15, 1.21) higher odds of any home-based WT; a 10% (95%CI: 1.06, 1.15) higher odds of over 30min of home-based WT; and a 5% (95%CI: 0.94, 0.96) lower odds of using a car over 60min. Local destinations partially mediated the effects of street layout on travel behaviors. Well-connected street layout contributes to active travel partially through availability of more local destinations. Urban design strategies need to address street layout and destinations to promote active travel among residents. [ABSTRACT FROM AUTHOR]

Background: Urban design may affect children's habitual physical activity by influencing active commuting and neighborhood play. Purpose: Our objective was to examine associations between neighborhood built-environment features near children's homes and objectively measured physical activity. Methods: We used geographical information system (GIS) protocols to select 2016 households from 48 low- and high-walkability neighborhoods within four New Zealand cities. Children ( n = 227; mean age ± standard deviation [SD] 9.3 ± 2.1 years) from the selected households wore accelerometers that recorded physical activity in the period 2008-2010. We used multilevel linear models to examine the associations of GIS and street-audit measures, using the systematic pedestrian and cycling environmental scan (SPACES), of the residential environment (ranked into tertiles) on children's hourly step counts and proportions of time spent at moderate-to-vigorous intensity on school and non-school days. Results: During school-travel times (8:00-8:59 a.m. and 15:00-15:59 p.m.), children in the mid-tertile distance from school (~1 to 2 km) were more active than children with shorter or longer commute distances (1290 vs. 1130 and 1140 steps·h; true between-child SD 440). After school (16:00-17:59 p.m.), children residing closest to school were more active (890 vs. 800 and 790 steps·h; SD 310). Neighborhoods with more green space, attractive streets, or low-walkability streets showed a moderate positive association on non-school day moderate-to-vigorous steps, whereas neighborhoods with additional pedestrian infrastructure or more food outlets showed moderate negative associations. Other associations of residential neighborhoods were unclear but, at most, small. Conclusions: Designing the urban environment to promote safe child-pedestrian roaming may increase children's moderate-to-vigorous physical activity. [ABSTRACT FROM AUTHOR]

Employment is a well-known social determinant of health and wellbeing and important for the liveability of a region. Yet, spatial data are rarely used to understand barriers and facilitators of accessing employment within a city. Therefore it remains challenging to plan cities that provide equitable opportunities for urban job seekers. This paper sought to: (1) identify urban planning and neighbourhood spatial attributes that facilitate access to employment; (2) conceptualise how neighbourhood attributes that facilitate accessible urban employment may be related to health and wellbeing behaviours and outcomes; and (3) isolate potentially important neighbourhood-level spatial measures that policy-makers and planners could use to assess urban employment accessibility. A conceptual framework was developed through a social determinants of health lens, where more upstream (e.g., neighbourhood attributes) and more downstream (e.g., behaviours, intermediate outcomes) determinants of urban employment were identified in relation to long-term health and social outcomes of interest. Six potential neighbourhood spatial measures of employment were identified. These were classified into measures of: access to employment (n = 4), local employment (n = 1), and neighbourhood employment level (n = 1). The spatial measures proposed rely on routinely collected administrative datasets existing within Australia (i.e., census data); therefore can be replicated over time and data are available nationally. Together, this research identified a suite of potential (and readily available) spatial measures that can be used to assess selected neighbourhood attributes as they relate to urban employment access. Such spatial measures can be used to inform future planning decisions that integrate policies across multiple sectors, thereby improving employment accessibility in an urban context. [ABSTRACT FROM AUTHOR]

Objective Physical activity recommendations are beginning to address sedentary behaviors - time spent sitting. Environmental and policy initiatives for physical activity might assist in addressing sedentary behaviors, but sedentary-specific innovations may be required. This review synthesizes current evidence on associations of neighborhood environmental attributes with adults' sedentary behaviors. Methods A search was conducted using three electronic databases (PubMed, Web of Science, and Transport Research Information Services). Relevant articles were assessed for their eligibility for inclusion (English-language articles with a quantitative examination of associations of neighborhood environmental attributes with adults' sedentary behaviors). Results Within 17 studies meeting inclusion criteria, associations of environmental attributes with sedentary behaviors were examined in 89 instances. Significant associations were found in 28% ( = 25) of them; however, non-significant associations were found in 56% ( n = 50) of these instances. The most consistent association was for lower levels of sedentary behavior among residents of urban compared to regional areas. Conclusions There is a modest but mixed initial evidence in associations of neighborhood environmental attributes with adults' sedentary behaviors. A research agenda required for this emerging field should include the development of more relevant conceptual models, measuring domain-specific sedentary behavior objectively, examining environments in close vicinity of and a larger area around home, and the use of prospective designs. [ABSTRACT FROM AUTHOR]

There is growing interest from policy-makers, practitioners, and academics alike in creating indicators of the built environment to measure progress towards achieving a wide range of policy outcomes, including enhanced health and wellbeing. Public open space (POS) is a built environment feature that is important for health and wellbeing across the life course, and contributes to the liveability of a region. To optimise health and community wellbeing outcomes, there is a need to test different policy standards and metrics to understand which measures are impactful. Identifying the best POS indicators would be useful tools to measure and monitor progress towards achieving a range of policy and health and wellbeing outcomes. Thus, we propose a method to develop POS indicators from a health and wellbeing lens through: 1) developing a framework conceptualising the pathways in which POS influences health and wellbeing outcomes; and 2) using this conceptual framework as a guide to identify upstream policy-relevant indicators of POS that are evidence-based, specific, quantifiable, and measurable across regions. We also highlight methodological issues and challenges in developing these indicators. In doing so, we have identified eleven potential POS spatial measures to test with population health and wellbeing datasets in Australia. However, these methods may be relevant and applicable to other developed countries, and could be modified for use in developing countries. Together, spatial indicators are analytic tools in the policy environment to benchmark and measure neighbourhoods in terms of POS provision, thereby helping to improve neighbourhood liveability and wellbeing, and people's health. [ABSTRACT FROM AUTHOR]