Development of the Australian neighborhood social fragmentation index and its association with spatial variation in depression across communities

The differential impacts of social deprivation and social fragmentation on suicides: A lesson from Hong Kong

INTRODUCTION

Little research has conducted to examine the association between social deprivation and social fragmentation, overall and method-specific suicide risk, and how these associations may change over time. This study investigated the association between social deprivation and social fragmentation with overall and method-specific suicide in Hong Kong from 1999 to 2018.

METHODS

Suicide death data of each small tertiary planning unit (STPU) was obtained from the Census and Statistics Department of Hong Kong. Socio-economic characteristics in STPU level were obtained from Census and Bi-census. Exploratory principal component analysis was used to construct the social deprivation (SDI) and social fragmentation indices (SFI) based on the socio-economic characteristics. Bayesian hierarchical modelling was conducted to explore the association between SDI and SFI with overall and method-specific suicide over time, controlling for population density and male-to-female ratio.

RESULTS

Higher risk of suicide was generally observed around Kowloon Peninsula and some parts in the Northern, Northwestern and Southwestern areas depending on methods. The effect of SDI and SFI on suicide risk varied by years and methods. In 2014-2018, for every 10% increase in SDI, the suicide risk for overall, jumping, hanging, and charcoal burning elevated by 22% (95%Crl = 10%-37%), 26% (95%Crl = 12%-41%), 31% (95%Crl = 14%-51%), and 21% (95%Crl = 4%-42%) respectively.

CONCLUSION

Spatial variations and effects of SDI and SFI on overall and method-specific suicide risks varied by different periods. SDI was observed to be a stronger factor in the recent years. Situations should be monitored, and interventions should be implemented and adjusted accordingly to the changes.

Urban-Rural Differences in Schizophrenia Risk: Multilevel Survival Analyses of Individual- and Neighborhood-Level Indicators, Urbanicity and Population Density in a Danish National Cohort Study

Background

Urban-rural differences in schizophrenia risk have been widely evidenced across Western countries. However, explanation of these differences is lacking. We aimed to identify contextual risk factors for schizophrenia that explain urban-rural differences in schizophrenia risk.

Methods

Utilizing Danish population-based registers, we partitioned Denmark into 1885 geographic "neighborhoods" homogeneously sized in terms of population. Information on the entire Danish population from 1981 to 2016 was used to quantify a spectrum of neighborhood-level domains. We subsequently conducted multilevel survival analyses following persons born in Denmark from 1971 to 1982 for the development of schizophrenia allowing for clustering of people within neighborhoods. We used this method to tease apart the effects of individual, specific, and general contextual risk factors for schizophrenia.

Results

A significant general contextual effect in schizophrenia risk across neighborhoods was estimated (Medium Incidence Rate Ratio (MRR):1.41; 95% CI:1.35-1.48). Most of the specific contextual factors examined were associated with schizophrenia risk. For instance, neighborhood-level proportion of lone adult households (Incidence Rate Ratios (IRR):1.53; 95% CI:1.44-1.63) had largest risk estimate. Adjustment for all individual-level and specific contextual constructs reduced the IRR for urbanicity from 1.98 (95% CI:1.77-2.22) to 1.30 (95% CI:1.11-1.51).

Conclusions

In the largest prospective multilevel survival analyses of schizophrenia risk conducted to date, multiple neighborhood-level characteristics were associated with raised schizophrenia risk, with these contextual factors explaining most of the elevated risk linked with urbanicity. However, the unexplained heterogeneity that was evident in our multilevel models indicates that our understanding of the role of urbanicity in schizophrenia's etiology remains incomplete.

Home as the first site for suicide prevention: a Hong Kong experience

INTRODUCTION

There has been little research into at-home suicide cases globally, and particularly in Asian regions. This study aimed to investigate the differences in characteristics between suicide cases in Hong Kong that occurred at home and elsewhere; identify at-home suicide hotspots in the community and compare the differences in area-level characteristics between suicide hotspots and other areas.

METHODS

Suicide cases (2013-2017) were identified from Hong Kong Coroner's Court reports. Area-level socioeconomic data were retrieved from the 2016 Hong Kong census. Wilcoxon signed-rank tests, χ² tests and multiple logistic regression models were applied to compare differences in characteristics between people committing suicide at home and elsewhere. Global hotspot tests (Moran's I and Getis-Ord General G) and local analysis (Getis-Ord Gi*) identified at-home suicide community hotspots. The Wilcoxon signed-rank test was used to compare differences in area-level characteristics between at-home suicide hotspots and non-hotspots.

RESULTS

About 60% of suicide cases in Hong Kong occurred at home. Being female, widowed and/or living alone were significant predictors of at-home suicide cases. A U-shaped association between age and at-home suicide was identified, with 32 years of age being the critical turning point. An at-home suicide hotspot was identified in the north-western region of Hong Kong, which had lower median household income, higher income inequality and higher percentages of households with single elderly people, and new arrivals, compared with other areas.

CONCLUSION

Suicide prevention should start at home by restricting access to suicide methods. Community-based suicide prevention interventions with improvement of social services should target vulnerable members in identified suicide hotspots.

The Impact of Built and Social Environmental Characteristics on Diagnosed and Estimated Future Risk of Dementia

BACKGROUND

Dementia is a major global health challenge and the impact of built and social environments' characteristics on dementia risk have not yet been fully evaluated.

OBJECTIVE

To investigate associations between built and social environmental characteristics and diagnosed dementia cases and estimated dementia risk.

METHODS

We recruited 25,511 patients aged 65 and older from family physicians' practices. We calculated a dementia risk score based on risk and protective factors for patients not diagnosed with dementia. Our exposure variables were estimated for each statistical area level 1: social fragmentation, nitrogen dioxide, public open spaces, walkability, socio-economic status, and the length of main roads. We performed a multilevel mixed effect linear regression analysis to allow for the hierarchical nature of the data.

RESULTS

We found that a one standard deviation (1-SD) increase in NO2 and walkability score was associated with 10% higher odds of any versus no dementia (95% CI: 1%, 21% for NO2 and 0%, 22% for walkability score). For estimated future risk of dementia, a 1-SD increase in social fragmentation and NO2 was associated with a 1% increase in dementia risk (95% CI: 0, 1%). 1-SD increases in public open space and socioeconomic status were associated with 3% (95% CI: 0.95, 0.98) and 1% decreases (95% CI: 0.98, 0.99) in dementia risk, respectively. There was spatial heterogeneity in the pattern of diagnosed dementia and the estimated future risk of dementia.

CONCLUSION

Associations of neighborhood NO2 level, walkability, public open space, and social fragmentation with diagnosed dementia cases and estimated future risk of dementia were statistically significant, indicating the potential to reduce the risk through changes in built and social environments.

The association between living in socially fragmented neighbourhoods and psychological distress among immigrant and non-immigrant people aged 45 and over in NSW, Australia

OBJECTIVE

Immigrants' mental health is a growing public health concern. Neighbourhood characteristics in the host society may contribute to the poor mental health observed among immigrants. In this study, we aimed to investigate the association between neighbourhood-level social fragmentation and socioeconomic characteristics with psychological distress among immigrants and non-immigrants living in Australia.

METHODOLOGY

We conducted cross-sectional secondary data analysis of 228,039 participants from the Sax Institute's 45 and Up Study, with psychological distress measured with the Kessler 10 (K10) and area-level social fragmentation and economic advantage/disadvantage measured at the statistical area level 1 (areas containing approximately 400 people). Multilevel logistic models were used to examine the extent to which differences across the least and most fragmented and economic advantage/disadvantage neighbourhoods contributed to the prevalence of high psychological distress (K10 score ⩾ 22).

RESULTS

Immigrants accounted for about 23% of the sample. Slightly more immigrants (34.8%) compared to non-immigrants (32.9%) lived in fragmented areas. Although immigrants were over represented in areas with socioeconomic advantage (40% vs 33.9%), the prevalence of high psychological distress in neighbourhoods with higher social fragmentation and socioeconomic disadvantage was higher in immigrants than non-immigrants. Immigrants had 17% (95% confidence interval = [12%, 22%]) higher odds of having high psychological distress compared to non-immigrants. There was no evidence of an interaction between social fragmentation or socioeconomic disadvantage and immigrant status. Living in fragmented or socioeconomically disadvantaged areas was associated with higher psychological distress among immigrants and non-immigrants. English as a second language and low annual income were significant predictors of psychological distress in immigrants over and above area-level characteristics.

CONCLUSION

Immigrants are vulnerable to mental health issues, but the characteristics of the area they live in are also important. Helping immigrants settle into well-integrated and economically advantaged areas may decrease the possibility of mental health issues.

Using Geospatial Analysis to Inform Development of a Place-Based Integrated Care Initiative: The Healthy Homes and Neighbourhoods Experience

INTRODUCTION

Disadvantaged families experience many barriers to accessing health and social care. The Healthy Homes and Neighbourhoods (HHAN) Integrated Care Initiative was developed to address these barriers, and ensure families have their complex needs met and are kept safe and connected to society.

DESCRIPTION

A spatial epidemiology approach was taken, as part of the HHAN feasibility phase, to identify the geographical distribution of the "most vulnerable" families in Sydney Local Health District (SLHD). A literature review was conducted to identify indicators of family stress and disadvantage, and cluster and hotspot analyses were undertaken. Hotspots of family stress and disadvantage were mapped for SLHD and used to identify areas for HHAN place-based delivery, and for collaborative co-design.

DISCUSSION

The HHAN initiative called for consideration of context and the undertaking of collaborative design with communities. The spatial analysis provided a more accurate picture of family stress and disadvantage than previously available and provided a tool that could be used during consultation and planning activities.

CONCLUSION

When planning place-based integrated care initiatives, spatial analysis of small geographic scales can allow identification of areas of concentrated or complex disadvantage that may be masked when analysis is performed on larger areas, allowing for targeted, place-based delivery of programs to those most in need.

The temporal evolution of income polarization in Canada's largest CMAs

Income polarization is a pressing issue which is increasingly discussed by academics and policymakers. The present research examines income polarization in Canada's eight largest Census Metropolitan Areas (CMAs) using data at the census-tract (CT) level between 1971 and 2016. Generally, there are significant decreasing trends in the middle-income population with simultaneously increasing trends in low-income groups. The high-income groups have been relatively stable with fewer significant increasing population trends. Using conventional mapping and cartograms, patterns of the spatial evolution of income inequality are illustrated. Every CMA examined contains an increasing trend of spatial fragmentation at the patch level within each CMA's landscape mosaic. The results of a spatial autocorrelation analysis at the sub-patch, CT level, exhibit significant spatial clustering of high-income CTs as one process that dominates the increasingly fragmented landscape mosaic.

Physical, mental, and social wellbeing and their association with death by suicide and self-harm in older adults: a community-based cohort study

OBJECTIVE

To assess associations between physical, mental, and social well-being and suicide and self-harm in a community-based sample of older adults.

METHODS

Using a cohort design, questionnaire data from 102,880 individuals aged 65 years or older living in New South Wales, Australia during 2006-2009 were linked to hospital and cause-of-death databases until 2017. Poisson regressions obtained adjusted incidence rate ratios (IRRs).

RESULTS

One hundred nine suicides and 191 deliberate self-harm (DSH) events occurred. Compared to those reporting excellent/good overall health, older adults reporting fair overall health had higher suicide rates (IRR = 2.8, 95% confidence interval: 1.8-4.4). Also, suffering from physical limitations was associated with higher rates of suicide. A fair versus excellent/good memory was associated with higher rates of suicide (IRR = 2.0, 1.3-3.3). Male erectile dysfunction was linked to self-harm (IRR = 2.8, 1.0-7.7). Suicide rates were elevated with baseline Kessler-10 scores of 20-50 versus 10-15 (IRR = 5.0, 2.9-8.9); the corresponding IRR for DSH was 2.9 (1.8-4.8). Elevated rates were observed for both self-reported depression and anxiety. Poor versus excellent/good quality of life was associated with suicide (IRR = 4.3, 1.7-10.7) and achieving less than desired to due to emotional problems was linked to self-harm (IRR = 1.8 1.3-2.4). Rates of suicide ande DSH were lower in those with ≥5 people to depend on versus one (suicide: IRR = 0.5, 0.3-0.9; DSH: IRR = 0.5, 0.3-0.7).

CONCLUSIONS

Older adults experiencing health problems, including those relating to overall health or memory, and those with psychological distress had elevated rates of suicidal behavior. Rates of subsequent self-harm and/or death by suicide were elevated in participants with small social networks.

A Semiautomated Classification System for Producing Service Directories in Social and Health Care (DESDE-AND): Maturity Assessment Study

BACKGROUND

DESDE-LTC (Description and Evaluation of Services and DirectoriEs for Long-Term Care) is an international classification system that allows standardized coding and comparisons between different territories and care sectors, such as health and social care, in defined geographic areas. We adapted DESDE-LTC into a computer tool (DESDE-AND) for compiling a directory of care services in Andalucia, Spain.

OBJECTIVE

The aim of this study was to evaluate the maturity of DESDE-AND. A secondary objective of this study is to show the practicality of a new combined set of standard evaluation tools for measuring the maturity of health technology products.

METHODS

A system for semiautomated coding of service provision has been co-designed. A panel of 23 domain experts and a group of 68 end users participated in its maturity assessment that included its technology readiness level (TRL), usability, validity, adoption (Adoption Impact Ladder [AIL]), and overall degree of maturity [implementation maturity model [IMM]). We piloted the prototype in an urban environment (Seville, Spain).

RESULTS

The prototype was demonstrated in an operational environment (TRL 7). Sixty-eight different care services were coded, generating fact sheets for each service and its geolocation map. The observed agreement was 90%, with moderate reliability. The tool was partially adopted by the regional government of Andalucia (Spain), reaching a level 5 in adoption (AIL) and a level 4 in maturity (IMM) and is ready for full implementation.

CONCLUSIONS

DESDE-AND is a usable and manageable system for coding and compiling service directories and it can be used as a core module of decision support systems to guide planning in complex cross-sectoral areas such as combined social and health care.

Outdoor light at night, air pollution and depressive symptoms: A cross-sectional study in the Netherlands

BACKGROUND

Artificial light at night (ALAN) may be an anthropogenic stressor for mental health disturbing humans' natural day-night cycle. However, the few existing studies used satellite-based measures of radiances for outdoor ALAN exposure assessments, which were possibly confounded by traffic-related air pollutants.

OBJECTIVES

To assess 1) whether living in areas with increased exposure to outdoor ALAN is associated with depressive symptoms; and 2) to assess the potential confounding effects of air pollution.

METHODS

We used cross-sectional data from people (N = 10,482) aged 18-65 years in the Netherlands. Depressive symptoms were assessed with the Patient Health Questionnaire (PHQ-9). Satellite-measured annual ALAN were taken from the Visible Infrared Imaging Radiometer Suite. ALAN exposures were assessed at people's home address within 100 and 600 m buffers. We used generalized (geo)additive models to quantify associations between PHQ-9 scores and quintiles of ALAN adjusting for several potential confounders including PM_2.5 and NO₂.

RESULTS

Unadjusted estimates for the 100 m buffers showed that people in the 2^nd to 5^th ALAN quintile showed significantly higher PHQ-9 scores than those in the lowest ALAN quintile (β_Q2 = 0.503 [95% confidence intervals (CI): 0.207-0.798], β_Q3 = 0.587 [95% CI: 0.291-0.884], β_Q4 = 0.921 [95% CI: 0.623-1.218], β_Q5 = 1.322 [95% CI: 1.023-1.620]). ALAN risk estimates adjusted for individual and area-level confounders (i.e., PM_2.5, urbanicity, noise, land-use diversity, greenness, deprivation, and social fragmentation) were attenuated but remained significant for the 100 m buffer (β_Q2 = 0.420 [95% CI: 0.125-0.715], β_Q3 = 0.383 [95% CI: 0.071-0.696], β_Q4 = 0.513 [95% CI: 0.177-0.850], β_Q5 = 0.541 [95% CI: 0.141-0.941]). When adjusting for NO₂ per 100 m buffers, the air pollutant was associated with PHQ-9 scores, but ALAN did not display an exposure-response relationship. ALAN associations were insignificant for 600 m buffers.

CONCLUSION

Accounting for NO₂ exposure suggested that air pollution rather than outdoor ALAN correlated with depressive symptoms. Future evaluations of health effects from ALAN should consider potential confounding by traffic-related exposures (i.e., NO₂).

What Is Rural Adversity, How Does It Affect Wellbeing and What Are the Implications for Action?

A growing body of literature recognises the profound impact of adversity on mental health outcomes for people living in rural and remote areas. With the cumulative effects of persistent drought, record-breaking bushfires, limited access to quality health services, the COVID-19 pandemic and ongoing economic and social challenges, there is much to understand about the impact of adversity on mental health and wellbeing in rural populations. In this conceptual paper, we aim to review and adapt our existing understanding of rural adversity. We undertook a wide-ranging review of the literature, sought insights from multiple disciplines and critically developed our findings with an expert disciplinary group from across Australia. We propose that rural adversity be understood using a rural ecosystem lens to develop greater clarity around the dimensions and experiences of adversity, and to help identify the opportunities for interventions. We put forward a dynamic conceptual model of the impact of rural adversity on mental health and wellbeing, and close with a discussion of the implications for policy and practice. Whilst this paper has been written from an Australian perspective, it has implications for rural communities internationally.

What Is Rural Adversity, How Does It Affect Wellbeing and What Are the Implications for Action?

A growing body of literature recognises the profound impact of adversity on mental health outcomes for people living in rural and remote areas. With the cumulative effects of persistent drought, record-breaking bushfires, limited access to quality health services, the COVID-19 pandemic and ongoing economic and social challenges, there is much to understand about the impact of adversity on mental health and wellbeing in rural populations. In this conceptual paper, we aim to review and adapt our existing understanding of rural adversity. We undertook a wide-ranging review of the literature, sought insights from multiple disciplines and critically developed our findings with an expert disciplinary group from across Australia. We propose that rural adversity be understood using a rural ecosystem lens to develop greater clarity around the dimensions and experiences of adversity, and to help identify the opportunities for interventions. We put forward a dynamic conceptual model of the impact of rural adversity on mental health and wellbeing, and close with a discussion of the implications for policy and practice. Whilst this paper has been written from an Australian perspective, it has implications for rural communities internationally.

​Is suicide mortality associated with neighbourhood social fragmentation and deprivation? A Dutch register-based case-control study using individualised neighbourhoods

Background

Neighbourhood social fragmentation and socioeconomic deprivation seem to be associated with suicide mortality. However, results are inconclusive, which might be because dynamics in the social context are not well-represented by administratively bounded neighbourhoods at baseline. We used individualised neighbourhoods to examine associations between suicide mortality, social fragmentation, and deprivation for the total population as well as by sex and age group.

Methods

Using a nested case-control design, all suicides aged 18–64 years between 2007 and 2016 were selected from longitudinal Dutch register data and matched with 10 random controls. Indices for social fragmentation and deprivation were calculated annually for 300, 600 and 1000 metre circular buffers around each subject’s residential address.

Results

Suicide mortality was significantly higher in neighbourhoods with high deprivation and social fragmentation. Accounting for individual characteristics largely attenuated these associations. Suicide mortality remained significantly higher for women living in highly fragmented neighbourhoods in the fully adjusted model. Age-stratified analyses indicate associations with neighbourhood fragmentation among women in older age groups (40–64 years) only. Among men, suicide risk was lower in fragmented neighbourhoods for those aged 18–39 years and for short-term residents. In deprived neighbourhoods, suicide risk was lower for men aged 40–64 years and long-term residents. Associations between neighbourhood characteristics and suicide mortality were comparable across buffer sizes.

Conclusion

Our findings suggest that next to individual characteristics, the social and economic context within which people live may both enhance and buffer the risk of suicide.