The moderating effects of greenspace on the association between neighbourhood disadvantage and obesity among mid-to-older aged Australian adults.

This study examined whether the association between neighbourhood disadvantage and obesity was moderated by quantity and quality of greenspace. The sample included 2848 mid-to-older aged adults residing in 200 neighbourhoods in Brisbane, Australia from the HABITAT study. Self-reported height and weight were used to calculate body mass index (BMI), neighbourhood disadvantage was measured using a census-derived composite index and greenspace was measured geospatially. We found evidence of moderation by park quality: lower average BMI at higher levels of park quality was shown in the Q3 rather than the Q1 (least disadvantaged) neighbourhood disadvantage group. The findings suggest that, for reducing socioeconomic inequalities in obesity, the quality of greenspace is imperative.

Changes in neighbourhood walkability and body mass index: An analysis of residential mobility from a longitudinal multilevel study in Brisbane, Australia.

This study examined associations between changes in neighbourhood walkability and body mass index (BMI) among 1041 residents who relocated within Brisbane, Australia between 2007 and 2016 over five waves of the HABITAT study. Measures included spatially-derived neighbourhood walkability (dwelling density, street connectivity, and land use mix) and self-reported height and weight. No associations were found between any neighbourhood walkability characteristics and BMI. Examining these associations over the life course, and the impact of residential relocation in the younger years, remains a priority for future research.

A cohort study examining individual factors influencing cycling as a transportation mode in São Paulo, Brazil.

The aim of this study is to explore the relationship between individual-level factors and cycling for transportation in a cohort of participants living in São Paulo city, Brazil. The same participants (n = 1,431 adults) were interviewed in 2014/2015 (Wave 1) and 2020/2021 (Wave 2) as part of the 'São Paulo Health Survey-ISA: Physical Activity and Environment'. For the longitudinal transport cycling binary outcome, participants who reported cycling at both time-points and those who were cycling at Wave 2 only were coded as a positive longitudinal pattern for cycling. Those who were not cycling at either Waves, and those who were cycling at Wave 1 only, were grouped into a negative pattern for cycling. The relationship between the longitudinal patterns for transport cycling and sociodemographics, health characteristics, and behaviors at Wave 1 were tested using bivariate analysis, and the significant individual-level factors were then examined in a multivariable binary logistic regression model. The odds of being classified in the positive cycling pattern were lower for women [OR = 0.09; 95 % CI = 0.04---0.19], and higher for persons aged 30 - 39 [OR = 3.25; 95 % CI = 1.38---7.66], those who owned a bicycle [OR = 2.00; 95 % CI = 1.13---3.54], and those who engaged in ≥ 120 min/week of transport walking [OR = 2.07; 95 % CI = 1.24---3.47] or leisure-time physical activity [OR = 1.77; 95 % CI = 1.02---3.06]. Cycling interventions and promotion should target women, the mid-aged and involve facilitating bicycle access. Advocacy for physical activity interventions is needed to influence transport cycling.

The contribution of objective and perceived crime to neighbourhood socio-inequity in loneliness.

Loneliness tends to be more prevalent in socioeconomically disadvantaged neighbourhoods, yet few studies explore the environmental differences contributing to area-based inequity in loneliness. This study examined how perceived and objective crime contributed to differences in loneliness between advantaged and disadvantaged neighbourhoods. The study used cross-sectional data from 3749 individuals aged between 48 and 77 years, residing in 200 neighbourhoods in Brisbane, Australia. We found that participants in disadvantaged neighbourhoods reported higher levels of loneliness and perceived crime, and the most disadvantaged neighbourhoods also had highest prevalence of objective crime. However, while perceived and objective crime were positively correlated with loneliness, only perceived crime accounted for socio-economic inequity in loneliness. Consequently, perceived crime plays an important role in addressing loneliness in disadvantaged communities and requires equitable resourcing for multiple strategies that aim to decrease crime and increase perceived safety.

The longitudinal effects of the built environment on transportation and recreational walking, and differences by age and sex: systematic review protocol.

BACKGROUND: In high-income countries, the prevalence of physical inactivity and non-communicable diseases is high, and it is now well-established that insufficient physical activity is a risk factor for non-communicable diseases. Walking for recreation and transportation are effective means of improving population levels of physical activity. Research finds that the built environment (BE) can encourage or discourage walking behaviour, and this association varies for different age groups and sexes. This systematic review aims to synthesise longitudinal evidence to better understand how the BE affects recreational and transportation walking for different age groups (above 64 years and 18-64 years) and sexes in high-income countries. METHOD: We will use Scopus, PubMed, SPORTDiscus with Full Text (EBSCO), Business Source Complete (EBSCO), Art and Architecture Archive (Proquest), Avery Index to Architectural Periodicals (ProQuest), and Art, Design & Architecture Collection (ProQuest) databases to search for relevant studies. Reviewers will screen the search results according to pre-specified eligibility criteria for study inclusion in the review. Required data for the synthesis will be extracted from the included studies to answer the research questions. Further, the methodological quality of the studies included in this systematic review will be evaluated using an established instrument, and the resulting quality scores will be utilized in sensitivity analysis. The Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) checklist will be followed when reporting the findings. DISCUSSION: This review will identify BE attributes that are likely to influence transportation and recreational walking for younger and older adults and different sexes in high-income countries. The findings will help policymakers with making decisions around walkable built environments for older and younger adults and different sexes to keep them healthy. TRIAL REGISTRATION: This protocol of the prospective systematic review is developed following PRISMA-P guidelines and is registered on the Prospective Register of Systematic Reviews (PROSPERO) (registration ID CRD42022351919).

Public Open Spaces and Leisure-Time Walking: A Longitudinal Study With Brazilian People in the COVID-19 Pandemic.

AIM: To examine whether changes in public open spaces (POS) were associated with leisure-time walking (LTW) between 2014 and 2021. METHODS: The sample comprised a prospective cohort of individuals living in São Paulo City, Brazil. The baseline sample was collected in 2014/2015 (4042 people aged 12 y or older) and the second wave in 2020/2021 (1431 people aged 18 y or older, 35.4% of total). Changes in POS scores in 500-m network buffers were based on household address, including positive or negative maintenance and increases or decreases in parks, public squares, and bike paths between 2015 and 2020. The International Physical Activity Questionnaire was used to evaluate LTW in the baseline and second wave. To examine the association of LTW with changes in POS, we used multilevel models in 4 levels: health administration areas, census tracts, individuals, and observations of individuals. The exposure was the POS tertiles, and the outcome was LTW. RESULTS: Changes in LTW prevalence were observed in both periods and according to POS tertiles distributions. When adjusted for time (baseline/second wave), gender, education, and age, the highest POS tertile was significantly associated with a high likelihood for LTW (odds ratio = 1.44; 95% confidence interval, 1.03-2.02). CONCLUSION: The results showed that people in São Paulo who lived within 500-m buffers with the highest access to POS were more likely to practice LTW between 2014/2015 and 2020/2021. These results have important implications for policies that were implemented in 2014, including the New Master Plan to contribute to São Paulo's good ranking among healthy cities.

Neighbourhood socio-economic disadvantage and loneliness: the contribution of green space quantity and quality.

Disadvantaged areas experience higher levels of loneliness than advantaged areas, though studies rarely identify environmental determinants of neighbourhood inequity in loneliness. We studied the contribution of the quantity and quality of green space to neighbourhood inequity in loneliness in three buffer sizes (400 m, 800 m, 1600 m), using cross-sectional data from 3778 individuals aged 48-77 years old living in 200 neighbourhoods in Brisbane, Australia. Levels of loneliness were significantly higher in disadvantaged neighbourhoods, and these neighbourhoods had less green space and less access to quality green space. However, there was no evidence that neighbourhood disparities in green space contributed to the association between neighbourhood disadvantage and loneliness. Possible methodological and substantive reasons for this result are discussed.

Neighbourhood socioeconomic disadvantage and body size in Australia's capital cities: The contribution of obesogenic environments.

Residents of socioeconomically disadvantaged neighbourhoods have higher rates of overweight and obesity and chronic disease than their counterparts from advantaged neighbourhoods. This study assessed whether associations between neighbourhood disadvantage and measured body mass index (BMI) and waist circumference, are accounted for by obesogenic environments (i.e., residential distance to the Central Business District [CBD], supermarket availability, access to walkable destinations). The study used 2017-18 National Health Survey data for working-aged adults (aged ≥18 years, n = 9,367) residing in 3,454 neighbourhoods across Australia's state and territory capital cities. In five of eight cities (i.e., Sydney, Melbourne, Brisbane, Adelaide, and Perth) residents of disadvantaged neighbourhoods had significantly higher BMI and a larger waist circumference than residents of more advantaged areas. There was no association between neighbourhood disadvantage and body size in Hobart, Darwin, and Canberra. Associations between neighbourhood disadvantage and body size were partially explained by neighbourhood differences in distance to the CBD but not supermarket availability or walkable amenities. The results of this study point to the role of urban design and city planning as mechanisms for addressing social and economic inequities in Australia's capital cities, and as solutions to this country's overweight and obesity epidemic and associated rising rates of chronic disease.

HPV status represents dominant trait driving delineation of survival-associated gene co-expression networks in head and neck cancer.

Integration of high-dimensional tumor gene expression data with clinicopathological data can increase our understanding of disease diversity, enable retrospective patient stratification, and identify new potential biomarkers and therapeutic targets. Using a systems biology approach, we provide a holistic overview of gene co-expression networks in head and neck squamous cell carcinomas (HNSCC). Weighted gene co-expression network analysis of HNSCC RNA sequencing data from 519 patients from The Cancer Genome Atlas (TCGA) was used to determine correlates of 5-year survival, using regression tree-based optimal threshold calculations. Survival-associated gene sets were transformed to gene set scores that were assessed for correlation with clinicopathological data. We identified 8 gene co-expression modules for HNSCC tumors, each of which contained co-expressed genes associated significantly with 5-year survival. Survival-associated co-expression gene signatures correlated dominantly with tumor HPV and p16 status. Network analysis identified that survival was associated with signaling networks of infection, immunity, epithelial-mesenchymal transition (EMT), hypoxia, glycolysis, focal adhesion, extracellular matrix, MYC signaling, autophagy and transcriptional regulation. EMT-associated gene signatures were expressed dominantly in fibroblasts, and cancer-associated fibroblasts were inversely correlated with immune activity. Interestingly, a high Immune Suppression Score based on expression of 21 genes associated with immune inhibition and including immune checkpoints, cytokines and regulatory T cell factors, was also associated with increased survival probability, and was significantly higher in HPV+ HNSCC. Networks associated with HNSCC survival were further associated with survival in cervical cancer, melanoma and lung cancer. This study defines 5129 genes associated with HNSCC survival, organized into co-expressed networks, their correlation with clinicopathological data, and with gene expression data from other malignant diseases, and provides a source for the discovery of biomarkers and novel therapies for HNSCC.

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.

Grand designs for design policy: Associations between apartment policy standards, perceptions of good design and mental wellbeing.

Comprehensive apartment design policies have been legislated by Australian state governments to address concerns about poor design in residential buildings. These policies aim to improve apartment design and promote good health. This study examined whether: (1) residents living in apartments that implemented more minimum design requirements perceived better apartment design and amenity; and (2) increased implementation of minimum requirements and better perceptions of design were associated with positive mental wellbeing. Apartment complexes (n = 114, built 2006-2016) were sampled from Sydney, Perth, and Melbourne. Building plans and elevations were used to measure and score apartments for their implementation of 96 quantifiable policy-specific requirements and residents (n = 1072) completed a self-report survey on their apartment design and health. Multi-level linear regression models were used to account for clustered data. Residents in apartments with greater implementation of requirements for solar and daylight, indoor space, private open space, communal space and parking had more positive perceptions of their apartment in terms of natural light and winter thermal comfort, indoor space and layout, private open space, communal area quality, and parking, respectively (all p < 0.05). Perceptions of natural ventilation, summer thermal comfort, indoor space, and communal area quality were independently associated with positive mental wellbeing (all p < 0.05), but the objective implementation scores had no direct association. When implemented as intended, minimum requirements had a positive impact on perceptions of design, which were associated with mental wellbeing. The study underscores the importance of planning instruments and design review processes that increase industry uptake of minimum policy standards.

Spatial and socioeconomic inequities in liveability in Australia's 21 largest cities: Does city size matter?

Spatial and area-level socioeconomic variation in urban liveability (access to social infrastructure, public transport, open space, healthy food choices, local employment, street connectivity, dwelling density, and housing affordability) was examined and mapped across 39,967 residential statistical areas in Australia's metropolitan (n = 7) and largest regional cities (n = 14). Urban liveability varied spatially, with inner-city areas more liveable than outer suburbs. Disadvantaged areas in larger metropolitan cities were less liveable than advantaged areas, but this pattern was reversed in smaller cities. Local data could inform policies to redress inequities, including those designed to avoid disadvantage being suburbanised as cities grow and gentrify.

Social determinants of depression among mid-to-older aged Australians: A prospective study of the effects of neighbourhood disadvantage and crime.

Background: Few studies examining social determinants of depression have incorporated area level objectively measured crime combined with self-report measures of perceived crime. How these factors may interrelate with neighbourhood disadvantage is not well understood, particularly in Australia, where mental health disorders are of major concern. This study examined relationships between area-level objective crime, self-reported perceptions of crime, neighbourhood disadvantage and depression, and potential mechanisms by which these variables indirectly lead to depression. Methods: This study used data from the HABITAT Project, a representative longitudinal study of persons aged 40-65 years residing in 200 neighbourhoods in Brisbane, Australia, during 2007-2016. A prospective sample of residentially stable persons who reported depression at two years (n =3120) and five years (n=2249) post-follow-up was developed. Area level objective crimes were categorised as either crimes against the person, social incivilities or unlawful entry. Logistic regression was used to establish relationships with depression, followed by a decomposition analysis to establish potential mechanisms. Results: Neighbourhoods in the highest quartile of crimes against the person had an increased risk of individuals reporting depression at all periods of follow-up. Associations were also found between unlawful entry and depression. Decomposition analysis indicated a positive and significant total effect of crime against the person on depression for all periods of follow-up, while an indirect effect of perceived crime was found to partially explain this relationship at 2-years after baseline (prop. Mediated = 46.5%), and at either or both periods of follow-up (prop. Mediated = 53.7%), but not at 5-years follow-up. Discussion: Neighbourhoods with the highest levels of crime against the person may influence depression over time through a pathway of perceived crime. Perceived crime, particularly in areas of high crime against the person should be considered as part of a multi-faceted strategy aimed at improving population mental health.

Supportive care needs and psychosocial outcomes of rural versus urban women with breast cancer.

OBJECTIVE: To identify whether supportive care needs vary according to remoteness and area-level socio-economic status and to identify the combinations of socio-demographic, area-level and health factors that are associated with poorer quality of life, psychological distress and severity of unmet supportive care needs. METHODS: Cross sectional data was collected from women with a breast cancer diagnosis (n = 2635) in Queensland, Australia, through a telephone survey including socio-demographic, health, psychosocial and supportive care needs measures. Hierarchical regression and cluster analyses were applied to assess the predictors of unmet need and psychosocial outcomes and to identify socio-demographic and health status profiles of women, comparing their level of unmet needs and psychosocial outcomes. RESULTS: Women living in outer regional areas reported the highest severity of unmet need in the patient care domain. Greater unmet need for health systems and information and patient care was also evident for those in moderately and most disadvantaged areas. Three clusters were identified reflecting (1) older women with poorer health and lower education (19%); (2) younger educated women with better health and private insurance (61%); and (3) physically active women with localised cancer who had completed treatment (20%). Poorer outcomes were evident in the first two of these clusters. CONCLUSIONS: This better understanding of the combinations of characteristics associated with poorer psychosocial outcomes and higher unmet need can be used to identify women with higher supportive care needs early and to target interventions.

"I'm definitely not socially excluded!"- Perceptions of social exclusion among Australian government housing residents aged 80 and older who live alone.

The oldest old - those aged 80 years and over - are the fastest growing sector of the Australian population and are generally assumed to be at risk of social exclusion which impedes healthy aging. The voices of those thought to be vulnerable to social exclusion are seldom heard. Informed by a critical gerontology framework, socio-ecological model of health and life-course perspectives, this research involved semi-structured in-depth interviews with a purposive sample of 13 people aged 80 and older living alone in government housing, in a socio-economically disadvantaged neighborhood in Melbourne, Australia. Interview transcripts were analyzed using thematic analysis. The findings reveal a positive picture of survival despite hardship, supportive relationships, a sense of autonomy from living independently, and contributing to society. These findings challenge ageist assumptions, which equate advanced age with social exclusion.

Sociodemographic characteristics and social exclusion among the oldest old.

OBJECTIVES: The socioeconomically disadvantaged oldest old (people aged 85 years and over) are more vulnerable to social exclusion than the general population. Using a population representative sample, this paper examined associations between sociodemographic characteristics and social exclusion among the oldest old. METHODS: This cross-sectional study included 307 participants aged 85 years and over from the Household, Income and Labour Dynamics in Australia (HILDA) Survey. Sociodemographic characteristics were measured using household composition, country of birth, housing tenure, income, education and neighbourhood-level disadvantage. Three social exclusion domains were derived representing unsupportive relationships, neighbourhood exclusion and community disengagement. Analysis was undertaken separately for men and women. RESULTS: Among men, living alone was associated with higher levels of unsupportive relationships (ß = 11.6, 95%CI 2.1, 21.0) and having a lower income was associated with lower levels of neighbourhood disunity (ß = -16.7, 95%CI -31.2, -2.2). Among women, living alone was associated with lower levels of community disengagement (ß = -7.2, 95%CI -13.4, -0.9) and neighbourhood disadvantage was associated with lower levels of neighbourhood disunity (ß = -10.4, 95%CI -19.6, -1.2). Both men and women with lower levels of education had higher levels of community disengagement (men: ß = 8.3, 95%CI 1.9, 14.7; women: ß = 17.0, 95%CI 8.6, 25.5). CONCLUSIONS: This study showed few and unexpected associations between sociodemographic characteristics and social exclusion among oldest-old Australians, suggesting a homogeneous effect of advancing age. Government approaches aimed at reducing social exclusion in this age group should consider gender and taking action across all socioeconomic stratification. Further research is warranted to understand the underlying mechanisms linking sociodemographic characteristics to social exclusion.

Individual socioeconomic position, neighbourhood disadvantage and mental well-being: a cross-sectional multilevel analysis of mid-age adults.

BACKGROUND: Socioeconomic disadvantage is associated with mental illness, yet its relationship with mental well-being is unclear. Mental well-being is defined as feeling good and functioning well. Benefits of mental well-being include reduced mortality, improved immune functioning and pain tolerance, and increased physical function, pro-social behaviour, and academic and job performance. This study aims to explore the relationship between individual socioeconomic position (SEP), neighbourhood disadvantage and mental well-being in mid-age adults. METHODS: Multilevel modelling was used to analyse data collected from 7866 participants from the second (2009) wave of HABITAT (How Areas in Brisbane Influence healTh and activiTy), a longitudinal study (2007-2018) of adults aged 40-65 years living in Brisbane, Australia. Mental well-being was measured using the Warwick Edinburgh Mental Well-Being Scale (WEMWBS). Exposure measures were education, occupation, household income, and neighbourhood socioeconomic disadvantage. RESULTS: The lowest MWB scores were observed for the least educated (ß = - 1.22, 95%CI = - 1.74, - 0.71), those permanently unable to work (ß = - 5.50, 95%CI = - 6.90, - 4.10), the unemployed (ß = - 2.62, 95%CI = - 4.12, - 1.13), and members of low-income households (ß = - 3.77, 95%CI = - 4.59, - 2.94). Residents of the most disadvantaged neighbourhoods had lower MWB scores than those living in the least disadvantaged neighbourhoods, after adjustment for individual-level SEP (ß = - 0.96, 95%CI = - 1.66, - 0.28). CONCLUSIONS: Both individual-level SEP and neighbourhood disadvantage are associated with mental well-being although the association is stronger for individual-level SEP. This research highlights the need to address individual and neighbourhood-level socioeconomic determinants of mental well-being.

Longitudinal associations between bicycling and having dependent children, in middle-aged men and women.

Bicycling has multiple health benefits. Child-rearing may influence bicycling, but little is known about the impact of this between men's and women's bicycling, or of number and ages of children on bicycling. This study examined the longitudinal associations between having dependent children and bicycling for transportation and recreation over 4 years among mid-aged men and women. Data were from the HABITAT study (Australia). We analysed data from three survey waves (2007, 2009, 2011) using multilevel logistic regression stratified by gender (n = 7758). Findings indicate that having dependent children was associated with bicycling for transportation and recreation in contrasting ways for men and women. The odds of bicycling were higher in men with ≥2 children aged under 18y than men without children (transportation: OR = 1.93, 95% CI: 1.26, 2.98; recreation: OR = 2.37, 95% CI: 1.67, 3.37). Over time, the odds of recreational bicycling were lower in women with ≥2 children than women without children (OR = 0.83, 95% CI: 0.73, 0.93). However, for both men and women, the odds of recreational bicycling were higher in those with children aged 6-12y than those with younger or older children (men: OR = 1.86, 95% CI: 1.39, 2.49; women: OR = 1.79, 95% CI: 1.31, 2.46). Interventions to promote bicycling must therefore consider gendered differences in bicycling for travel and active leisure, and family circumstances. An opportunity to promote bicycling might be to target parents with children aged 6-12y.