Percentage Of Green Space Research Articles

Impact of green space exposure on blood pressure in Guangzhou, China: Mediation by air pollution, mental health, physical activity, and weight status

Green space exposure has been inversely associated with blood pressure (BP) levels and hypertension risk. However, empirical evidence on the underlying mechanisms are lacking. This study examined the association of green space exposure with BP and hypertension, and assessed the mediating effects by air pollution, mental health, physical activity, and weight status. Survey data from 719 adults, who lived in Guangzhou (China) in 2016, were used. Three area-level green space indicators, including network distance to the nearest park, percentage of green space and Normalized Difference Vegetation Index within a 1 km Euclidean buffer around residence and workplace, were calculated and linked to individual-level BP measurements. Structural equation models were applied to estimate the direct and indirect associations of the various green space indicators on systolic BP (SBP), diastolic BP (DBP), and hypertension, respectively. After adjusting for multiple covariates, longer network distance to green space was directly associated with higher SBP. Compared to the reference group (0–500m), the differences were 0.11 mmHg (95% CI = 0.03 to 0.19, P = 0.006) for 500–1000m, 0.03 mmHg (95% CI = −0.05 to 0.12, P = 0.45) for 1000–1500m, and 0.16 mmHg (95% CI = 0.09 to 0.23, P < 0.001) for >1500m, respectively. The overall and direct associations were significant for all three indicators (distance or density) with or without considering workplace exposure. The association between network distance to green and SBP was partially (18.4%, 95% CI = 0–42.1%) mediated by mental health. There was no statistical evidence that air pollution, physical activity, or weight status mediate the association. Secondary analyses for other indicators and other outcomes showed similar results. Both distance to green space and more green space around residence and workplace were associated with lower BP and lower risk of hypertension in adults living in a Chinese metropolitan. Mental health partly mediated the association.

Urban green and blue spaces and general and mental health among older adults in Washington state: Analysis of BRFSS data between 2011-2019

A growing body of evidence highlights the significant effect of built environment features on mental and general health. This study examined the association between distance to and percentage of green and blue space measures and serious psychological distress, general health, and frequent mental distress among older adults living in urban ZIP codes in Washington state. Percentage of green space, particularly tree canopy and forest space, was significantly associated with better self-rated general health and reduced odds of serious psychological distress. Closer distance to blue space was associated with better self-rated general health. Programs which incentivize exposure to green and blue spaces for urban-dwelling, older adults may improve health outcomes.

The local environment and germline genetic variation predict cancer risk in the UK Biobank prospective cohort

BackgroundThere is a growing body of evidence on the effect of the local environment exposure on cancer susceptibility. Nonetheless, several of the associations remain controversial. Moreover, our understanding of the possible interaction between the local environment and the genetic variability is still very limited. ObjectiveThe aim of this study was to clarify the role of the local environment and its possible interplay with genetics on common cancers development. MethodsUsing the UK Biobank (UKBB) prospective cohort, we selected 12 local environment exposures: nitrogen oxides, nitrogen dioxides, particulate matter (10 and 2.5 μm), noise pollution, urban traffic, living distance from the coast, percentage of greenspace, natural environment, water, and domestic garden within 1000 m from the residential coordinates of each participant. All these exposures were tested for association with 17 different types of cancer for a total of 53,270 cases and 302,645 controls. Additionally, a polygenic score (PGS) was computed for each cancer, to test possible gene-environment interactions. Finally, mediation analyses were carried out. ResultsThirty-six statistically significant associations considering multiple testing (p < 2.19 × 10−4) were observed. Among the novel associations we observed that individuals living farther from the coast had a higher risk of developing prostate cancer (OR = 1.13, CI95% = 1.06–1.20, P = 1.98 × 10−4). This association was partially mediated by physical activity (indirect effect (IE) = -8.48 × 10−7) and the time spent outdoor (IE = 9.07 × 10−6). All PGSs showed statistically significant associations. Finally, genome-environment interaction analysis showed that local environment and genetic variability affect cancer risk independently. DiscussionLiving close to the coast and air pollution were associated with a decreased risk of prostate cancer and skin melanoma, respectively. These findings from the UKBB support the role of the local environment on cancer development, which is independent from genetics and may be mediated by several lifestyle factors.

Impact of built environment on urban surface temperature based on multi-source data at the community level in Beilin District, Xi'an, China.

With the global warming and rapid urbanization in China, the urban built environment has undergone rapid changes, and the land surface temperatures (LSTs) of urban communities have obvious spatial heterogeneity. To explore the key driving factors of community LSTs, the multi-source data and spatial statistical methods being jointly used to analyze the spatial characteristics and main influencing factors of LST at the community level in the Beilin District of Xi'an City, China. The results are as follows: (1) Compared with communities dominated by construction land, communities with large area of green space and water bodies have lower LST. (2) According to the Akaike's information criterion (AICc) and maximum of adjusted R2, and other parameters, the No.1236 model was selected as the optimal model to analyze the influencing factors of community LST by exploratory data analysis, including building density (BD), building height standard deviation (BHS), percentage of public administration and public services land (PASL), percentage of green space and square land (PGSL), population density (POPD), normalized difference impervious surface index (NDISI), and perimeter-area fractal dimension (PAFRAC). (3) For each increase of one unit in NDISI and BHS when other factors remain unchanged, the LST will increase by 0.569°C and decrease by 0.478°C, respectively. (4) From the spatial stability and distribution of Local-R2, the warming factors of community LST are mainly NDISI, PAFRAC, BD, and PASL, while the cooling factors are BHS and PGSL. The spatial heterogeneity of community LST is not only related to the change of underlying surface properties but is also affected by intra-urban architectural morphology. Therefore, reasonable planning of urban built environment is of great significance for mitigating heat islands.

Association between long-term green space exposure and mortality in China: A difference-in-differences analysis of national data in 2000, 2010 and 2019

BackgroundEffects of green space on human health have been well-documented in western, high-income countries. Evidence for similar effects in China is limited. Moreover, the underlying mechanisms linking green space and mortality are yet to be established. We therefore conducted a nation-wide study to assess the association between green space and mortality in China using a difference-in-difference approach, which applied a causal framework and well controlled unmeasured confounding. In addition, we explored whether air pollution and air temperature could mediate the association. MethodsIn this analysis, we collected data on all-cause mortality and sociodemographic characteristics for each county in China from the 2000 and 2010 censuses and the 2020 Statistical Yearbook. Green space exposure was assessed using county-level normalized difference vegetation index (NDVI) and the percentage of green space (forest, grasslands, shrub land and wetland). We applied a difference-in-differences approach to evaluate the association between green space and mortality. We also performed mediation analysis (by air pollution and air temperature). ResultsOur sample consisted of 2726 counties in 2000 and 2010 as well as 1432 counties in 2019. In the 2000 versus 2019 comparison, a 0.1 unit increase in NDVI was associated with a 2.4 % reduction in mortality [95 % confidence interval (CI) 0.4–4.3 %], and a 10 % increase in percentage of green space was associated with a 4.7 % reduction (95 % CI 0–9.2 %) in mortality. PM2.5 and air temperature mediated 0.3 % to 12.3 % of the associations. ConclusionsLiving in greener counties may be associated with lower risk of mortality in China. These findings could indicate the potential of a population-level intervention to reduce mortality in China, which has important public health implications at the county level.

Abstract 4216: Interactions of greenness with air pollution in relation to postmenopausal breast cancer risk in UK Biobank

Abstract Purpose: The evidence of the association between natural vegetation, or greenness, and breast cancer (BCa) remains inconsistent, with some studies reporting possible interactions with air pollution. We previously found a positive association of particulate matter with diameters than are 10 micrometers or smaller (PM10) with BCa risk among postmenopausal women in the UK Biobank. In this study, we investigated the associations of greenness with postmenopausal BCa risk, as well as whether association of PM10 with BCa differ by the level of greenness. Methods: This study included 155,235 postmenopausal women (6,146 with BCa) from UK Biobank, a population-based prospective cohort. Cancer diagnoses were ascertained through the linkage to the UK National Health Service Central Registers. Greenness measures (Greenspace percentage [GP], Natural environment percentage [NEP], and the Normalized Difference Vegetation Index [NDVI]) were available at baseline assessment (2006 -2010). GP and NEP coverage were calculated at 300 m and 1000 m, respectively, around participant residence locations, while the mean NDVI was calculated within a 500 m residential buffer of each UK Biobank participant. Annual averages for PM10 were available from 2007 and 2010. Information on BCa risk factors was collected at baseline. We used Cox proportional hazards regression to evaluate associations between greenness (continuous as well as quartiles) and BCa risk, while adjusting for BCa risk factors. Next, we examined associations for year-specific and cumulative average PM10 exposure measures (per 5 µg/m3) within each stratum of greenness measure. Interactions between PM10 and greenness measures were assessed by including an interaction term in the main models. Results: BCa risk increased by 29% per one unit increase in NDVI (Hazard ratio [HR]=1.29, 95% CI 1.03, 1.61). Compared to women in the lowest NDVI quartile, women with higher levels of NDVI had higher risk of BCa (HR=1.10, 95% CI 1.01, 1.21 for 2nd quartile, HR=1.10, 95% CI 1.00, 1.20 for 3rd quartile, and HR=1.13, 95% CI 1.04, 1.24 for 4th quartile, p-trend=0.012). No significant associations were found for any other greenness measure in relation to BCa risk. We found a significant interaction between NDVI and cumulative average PM10 exposure (p&amp;lt;0.0001). The association of PM10 cumulative average with BCa risk was stronger at lower levels of NDVI (HR per 5 µg/m3=1.12, 95% CI 1.07, 1.17 for 1st quartile) compared to higher levels of NDVI (HR=1.04, 95% CI 1.02, 1.07 for 4th quartile). We found no interactions with other greenness measures. Conclusions: We found a positive association of NDVI with BCa risk and an interaction between cumulative average PM10 and NDVI, with stronger positive association of cumulative average PM10 exposure with postmenopausal BCa risk at lower compared to higher levels of greenness. Citation Format: Carmen Smotherman, Brian Sprague, Susmita Datta, Dejana Braithwaite, Huaizhen Qin, Lusine Yaghjyan. Interactions of greenness with air pollution in relation to postmenopausal breast cancer risk in UK Biobank. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 4216.

The Impact of the Coronavirus Pandemic on the Contribution of Local Green Space and Nature Connection to Mental Health.

Exposure to green space and feeling connected to the natural environment have independently been associated with improved mental health outcomes. During the coronavirus pandemic, people experienced restrictions on access to the outdoors, and health data indicated a decline in mental health in the UK general population. Data available from two independent surveys conducted prior to and during the pandemic enabled a naturally occurring comparison of mental health and its correlates prior to and during the pandemic. Survey responses from 877 UK residents were included in the analyses. Independent t-tests revealed significant declines in mental health scores during the pandemic. After controlling for age and gender, greater nature connection significantly predicted lower depression and stress and improved well-being. Percentage of green space did not significantly predict any mental health outcomes. Further, time point (pre- or during COVID) and the interaction of time point with green space and nature connection did not significantly predict any of the outcome measures. The findings indicate that nature connection may play an important role in promoting mental health. Strategies to improve mental health and reduce mental illness should consider the role of nature connection and the use of interventions that involve direct interaction with natural environments.

Assessment and Actions to Support Integrated Water Resources Management of Seville (Spain)

AbstractIntegrated Water Resources Management (IWRM) of the city of Seville, Spain, located in the southern Guadalquivir River Basin is assessed applying the city blueprint approach (CBA). The trends and pressures framework identifies five major indicators reflecting ‘concern’ for Seville’s urban water management: heat island effect, urban drainage flooding, river peak discharges, unemployment rate and economic pressure. The results indicate increased daytime and night-time temperatures and increased urban flooding due to sealed soil, and river rise from regional precipitation under climate change. The financial pressures are driven by the high unemployment rate and the low per capita income compared to other cities assessed. The city blueprint framework identifies three categories reflecting ‘poor’ performance for the urban water management of Seville: water infrastructure, solid waste and climate adaptation. An aging sewer network, low operational cost recovery and combined-sewer overflow systems dominate. Solid waste management is characterized by high waste generation, low recycling rate and minimal energy recovery. The percentage of green space is low, but growing. The Governance Capacity Framework identifies five conditions reflecting ‘limited’ governance of water scarcity: awareness, useful knowledge, continuous learning, agents of change and financial viability. The assessment of water governance reflects a low citizens’ sense of urgency. Integrating citizens and stakeholders in a more participative governance will result in increased awareness of economic efforts required to face water scarcity, renewal of water infrastructure and climate adaptation. The blue city index (BCI) of Seville is 5.8/10, placing it highly among other Mediterranean cities, and in the top 20% of 125 cities assessed worldwide. Application of the CBA to the urban water resources of cities allows clear definition of water and resource management challenges and is the first step to becoming a ‘water smart’ city.

The Influence of Block Morphology on Urban Thermal Environment Analysis Based on a Feed-Forward Neural Network Model

Morphological indicators, which are important for urban planning, can be adjusted to effectively mitigate the heat island effect and promote a more comfortable urban environment. Most studies obtain the relationship between morphological indicators and land surface temperature (LST) from the urban scale, and it is difficult to apply the results to urban management and construction projects. Traditional research methods have ignored the complex and interactive relationship between morphological indicators and LST. In this work, the feed-forward neural network (FNN) model is utilized to model the nonlinear relationship between morphological indicators and LST at the block scale. After validation and comparison, the FNN model achieved MAE of 0.885 and RMSE of 1.184, indicating that the influence of morphological indicators on LST could be precisely mapped. In addition, using cooling LST as the optimization target, the specific indicator scheme is suggested based on the FNN model, where the percentage of green space is 17.1%, the percentage of impervious surface is 82.9%, the percentage of water is 0, the bare soil percentage is 0, the floor area ratio is 0.814, the building cover percentage is 32.2%, and the average building height is 7.2 m.

Associations of residential green space with incident type 2 diabetes and the role of air pollution: A prospective analysis in UK Biobank

BackgroundGreen space is a newly modifiable environmental factor which would bring health benefits, and identifying potential pathways is important to better promote public health. Nowadays, limited evidence is available on residential green space and risk of incident type 2 diabetes (T2D). To evaluate the longitudinal association between residential green space and incident T2D, and further illustrate the role of air pollution, we conducted a prospective analysis in UK Biobank. MethodsIncident cases of T2D were ascertained through medical linkage of hospital admissions. Residential green space indicated by percentage of green space at 300 m buffer was estimated using land use data. Annual average air pollution was modelled using Land Use Regression model. Cox proportional hazard regression models were used to determine the association between the exposure and incident T2D. Effect modification of air pollution was assessed using log-likelihood tests. Casual mediation analysis including interaction of green space and air pollution was used to quantity pure natural indirect effect of air pollution. ResultsOf 379,238 participants at baseline, 15564 incident T2D cases were identified with 12.4 years of follow-up. In main models, individuals who exposed to residential green space at 300 m buffer in high level (≥75 %) had 14.4 % (95 % CI: 8.0 %, 20.3 %) lower risk of incident T2D compared with those in low level (<25 %). This association was modified by NO2, with green space indicating higher protective effect in low NO2 level (Pinteraction = 0.098). PM2.5 had a high mediation effect of 37.0 % in the association. ConclusionElevated residential green space level was associated with lower risk of incident T2D, and air pollution played an important role in this association. These findings would contribute to policy making and healthy city construction to take air pollution into consideration while planning green space, which would maximize public health benefits.

Examining the association between the built environment and active travel using GPS data: A study of a large residential area (Daju) in Shanghai.

Automobile dependence and physical inactivity have become common health challenges for residents in large suburban residential areas. Limited literature has examined the associations between the built environment and active travel in such residential areas and the differences in these associations among residents from different neighborhoods. To avoid inaccurate results potentially derived from residence-based measures, we adopt a mobility-based approach for environmental exposure assessment. Using GPS data from 530 trips made by 98 participants in a large residential area in Shanghai, we investigate the relationships between neighborhood types, pollution perceptions, built environment features and active travel. The results indicate that residents in affordable and relocation housing make fewer active trips than those in market-rate housing, while the built environment seems to mitigate this difference. Sports facilities promote active travel while commercial facilities and road intersections discourage it. We identify significant interactions between the percentage of green space and neighborhood type, as well as floor area ratio and air pollution perception. Interventions promoting active travel include active-travel-friendly design for commercial facilities and road intersections, the provision of more sports facilities, a careful increase in floor area ratio, and the provision of more green space that is attractive to residents from different neighborhoods.

Patterns and Predictors of Stranger Rape Locations

This paper examines the spatial, environmental, and temporal patterns of 10,488 stranger rapes committed over a 15-year period in Greater London, UK. We distinguished between two types of stranger rapes according to perpetrator method of approach, i.e. absent/fleeting interaction with victim on approach (S1) or extended interaction with victim on approach (S2). There were a range of locational settings in which perpetrators both encountered their victims and where the offence took place, and these differed by method of approach. The highest number of S1 offences occurred outdoors, with 74% of approaches and 55% of offences located recorded as outside. For S2 rapes, there was more variety in approach locations with only 32% outside. The level of locational correspondence between approach and offence location was 71% for S1 rapes and 28% for S2 rapes. A series of negative binomial regression models identified variables predictive of stranger rape offence location. There were significant associations with transport connections and the night-time economy for both S1 and S2 rapes. Other significant predictors were deprivation score, the percentage of one person properties, and the percentage of private rented properties in a location. The percentage of green space was a significant predictor for S1 rapes only. The current findings challenge the popular narrative that stranger rape occurs in a specific setting (i.e. outside in a secluded location at night) and have implications for place-based crime prevention policy.

Green space availability and mental health – results from a cross-sectional study in Northwestern Germany

Abstract Background A relationship between green space and health has been shown in several epidemiological studies. The impact of different types of green space is still relatively unknown. To start filling this gap, we looked at associations between different green space types and health outcomes (depression and mental health). Methods Data are obtained from a cross-sectional study (n = 479). Depression (assessed with PHQ-9) and mental health (assessed with GHQ-28) are dependent variables. Availability of green space in the surrounding neighborhood was assessed as independent variable by the percentage of green space ( &amp;gt; =1ha) within a 250m radius participants residence. Survey data were analyzed using IBM SPSS 26 and Geo data using QGIS 3.18.0. Results N = 479 participants of a cross-sectional study in 2018 provided data (49.4%, n = 240 women; 49.6%, n = 239 men). Participants had a mean age of 57.55 years (SD: 18.80, min-max:18-95), majority (75.2%, n = 360) were married or partnered, had a lower educational qualification than A-levels equivalent (56.8%, n = 272), were not employed (53%, n = 254), had a net household income of at least 3. 000€ per month (40.1%, n = 192) and at least sometimes financial worries (51.4%, n = 246). Green areas without agricultural areas show an association with frequency of depression (B(SE)=0.056(0.024), p = 0.018). This contrasts with green spaces including agricultural areas, where there is no statistically significant association (B(SE)=0.007(0.012), p = 0.564). Discussion We found an association between type of green space and depression. Further studies are needed to establish a grid for assessing characteristics and quality criteria of green spaces. However, it can already be assumed that there is an association between quality of green spaces and psychosocial outcomes.

The association between adverse childhood experiences, neighborhood greenspace, and body mass index: A cross-sectional study

An association between adverse childhood experiences (ACEs) and elevated body mass index (BMI) has been found in previous investigations. ACEs’ effects on BMI have been primarily considered via individual-level physiological and behavioral frameworks. Neighborhood factors, such as greenspace, are also associated with BMI and may merit consideration in studies examining ACEs-BMI associations. This exploratory study examined associations of BMI with ACEs and neighborhood greenspace and tested whether greenspace moderated ACEs-BMI associations. Methods entailed secondary analysis of cross-sectional data. ACEs and BMI were captured from 2012/2013 Philadelphia ACE Survey and 2012 Southeastern Household Heath Survey data; greenspace percentage in participants’ (n = 1,679 adults) home neighborhoods was calculated using National Land Cover Database data. Multi-level, multivariable linear regression 1) examined associations between BMI, ACEs, (0 ACEs [reference], 1–3 ACEs, 4 + ACEs), and neighborhood greenspace levels (high [reference], medium, low) and 2) tested whether greenspace moderated the ACEs-BMI association (assessed via additive interaction) before and after controlling for sociodemographic and health-related covariates. Experiencing 4 + ACEs (β = 1.21; 95 %CI: 0.26, 2.15; p = 0.01), low neighborhood greenspace (β = 1.51; 95 %CI: 0.67, 2.35; p < 0.01), and medium neighborhood greenspace (β = 1.37; 95 %CI: 0.52, 2.21; p < 0.01) were associated with BMI in unadjusted models. Only low neighborhood greenspace was associated with BMI (β = 0.95; 95 %CI: 0.14, 1.75; p = 0.02) in covariate-adjusted models. The ACEs-greenspace interaction was not significant in unadjusted (p = 0.89–0.99) or covariate-adjusted (p = 0.46–0.79) models. In conclusion, when considered simultaneously, low neighborhood greenspace, but not ACEs, was associated with BMI among urban-dwelling adults in covariate-adjusted models.

Residential green space and age at menarche in German and Australian adolescent girls: A longitudinal study.

A large multicentre European study reported later onset of menopause among women residing in greener areas. This influence on the timing of a reproductive event like menopause, raises the question whether similar associations can be observed with timing of menarche. We investigated whether exposure to residential green space was related to the age at menarche in German and Australian adolescent girls. The analytic samples comprised of 1706 German and 1474 Australian adolescent girls. Percentage of green space was calculated in 1000m buffers around a residential address or its surrogate at the previous follow-up. Mixed effects Cox proportional hazard models were used to explore the associations. The survival object was the occurrence of menarche at the time of follow-up (15-year follow-up of the German cohorts and the study wave at 14-15 years in the Australian cohort) and number of years since baseline (10-year follow-up in the German cohort and the study wave at 10-11 years in the Australian cohort). Participants who did not reach menarche were included as censored observations. A greener residence was not associated with the age at menarche. Null findings were consistent in the general population and in analyses stratified by socioeconomic status or urbanicity in both countries. Urban residents were more likely to have earlier menarche, and this association was consistent across Germany and Australia. The results of our analysis do not support the hypothesis that residing in places with more green space can influence timing of menarche. However, given the limitations of our study, researchers should not be discouraged to further explore environmental risk factors of early menarche.

Urban green space and mental well-being of Aotearoa New Zealand adolescents: A path analysis

BackgroundGrowing evidence shows the positive influence of neighbourhood green space on mental well-being among adults through multiple health behaviours, but similar studies are lacking for adolescents. MethodsData were drawn from the 2019 wave of the Youth2000 survey series in Aotearoa, New Zealand with secondary school students (aged 10-19 years) from the city of Tamaki Makaurau, Auckland. Emotional well-being was measured with the World Health Organization-5 Well-being Index, and depressive symptoms were assessed using the Reynolds Adolescent Depression Scale-short form. Neighbourhood green space was assessed using three different measures: percentage of green space, Normalised Difference Vegetation Index (NDVI) and the distance to nearest green space from place of residence. Exposure areas of these measures were calculated using Euclidean buffers of 100m, 300m, 800m and 1600m around participants’ meshblock residential addresses. Three mediating (physical activity, social cohesion, sleep) and ten control variables (in adjusted models) were included in path analysis to test the direct and indirect relationships between green space and adolescent mental well-being. ResultsIn unadjusted models, percentage of green space had a negative relationship with emotional well-being, and inconsistent effects of NDVI were detected in different buffers. Minor indirect effects of physical activity and sleep were also found. Depressive symptoms and emotional well-being were more strongly related to other individual and neighbourhood factors (e.g., neighbourhood deprivation). After adjusting for control variables, no significant associations of green space with adolescent depressive symptoms and emotional well-being were identified. ConclusionsUrban neighbourhood green space does not appear to be a dominant factor contributing to adolescent mental well-being through physical activity, social cohesion and sleep. Appropriate individual and environmental control variables are needed to take into consideration in future studies that explore the green space-mental well-being relationships in adolescents.

Exposure to urban green space may both promote and harm mental health in socially vulnerable neighborhoods: A neighborhood-scale analysis in New York City

BackgroundThere is growing evidence that exposure to green space can impact mental health, but these effects may be context dependent. We hypothesized that associations between residential green space and mental health can be modified by social vulnerability. MethodWe conducted an ecological cross-sectional analysis to evaluate the effects of green space exposure on mental disorder related emergency room (ER) visits in New York City at the level of census tract. To objectively represent green space exposure at the neighborhood scale, we calculated three green space exposure metrics, namely proximity to the nearest park, percentage of green space, and visibility of greenness. Using Bayesian hierarchical spatial Poisson regression models, we evaluated neighborhood social vulnerability as a potential modifier of greenness-mental disorder associations, while accounting for the spatially correlated structures. ResultsWe found significant associations between green space exposure (involving both proximity and visibility) and total ER visits for mental disorders in neighborhoods with high social vulnerability, but no significant associations in neighborhoods with low social vulnerability. We also identified specific neighborhoods with particularly high ER utilization for mental disorders. ConclusionsOur findings suggest that exposure to green space is associated with ER visits for mental disorders, but that neighborhood social vulnerability can modify this association. Future research is needed to confirm our finding with longitudinal designs at the level of individuals.

Evolution of Green Space under Rapid Urban Expansion in Southeast Asian Cities

Globally, rapid urban expansion has caused green spaces in urban areas to decline considerably. In this study, the rapid expansion of three Southeast Asia cities were considered, namely, Kuala Lumpur City, Malaysia; Jakarta, Indonesia; and Metro Manila, Philippines. This study evaluates the changes in spatial and temporal patterns of urban areas and green space structure in the three cities over the last two decades. Land use land cover (LULC) maps of the cities (1988/1989, 1999 and 2014) were developed based on 30-m resolution satellite images. The changes in the landscape and spatial structure were analysed using change detection, landscape metrics and statistical analysis. The percentage of green space in the three cities reduced in size from 45% to 20% with the rapid expansion of urban areas over the 25-year period. In Metro Manila and Jakarta, the proportion of green space converted to urban areas was higher in the initial 1989 to 1999 period than over the latter 1999 to 2014 period. Significant changes in green space structure were observed in Jakarta and Metro Manila. Green space gradually fragmented and became less connected and more unevenly distributed. These changes were not seen in Kuala Lumpur City. Overall, the impact of spatial structure of urban areas and population density on green space is higher in Jakarta and Metro Manila when this is compared to Kuala Lumpur. Thus, the results have the potential to clarify the relative contribution of green space structure especially for cities in Southeast Asia where only a few studies in urban areas have taken place.

Which Green Space Metric Best Predicts a Lowered Odds of Type 2 Diabetes?

The choice of a green space metric may affect what relationship is found with health outcomes. In this research, we investigated the relationship between percent green space area, a novel metric developed by us (based on the average contiguous green space area a spatial buffer has contact with), in three different types of buffers and type 2 diabetes (T2D). We obtained information about diagnosed T2D and relevant covariates at the individual level from the large and representative 45 and Up Study. Average contiguous green space and the percentage of green space within 500 m, 1 km, and 2 km of circular buffer, line-based road network (LBRN) buffers, and polygon-based road network (PBRN) buffers around participants’ residences were used as proxies for geographic access to green space. Generalized estimating equation regression models were used to determine associations between access to green space and T2D status of individuals. It was found that 30%–40% green space within 500 m LBRN or PBRN buffers, and 2 km PBRN buffers, but not within circular buffers, significantly reduced the risk of T2D. The novel average green space area metric did not appear to be particularly effective at measuring reductions in T2D. This study complements an existing research body on optimal buffers for green space measurement.

Does Nature Contact in Prison Improve Well-Being? Mapping Land Cover to Identify the Effect of Greenspace on Self-Harm and Violence in Prisons in England and Wales

This article presents crucial new evidence that prisons with a higher proportion of the area within their perimeter given over to natural vegetation exhibit lower levels of self-harm and violence (both between prisoners and toward staff). Extending prior qualitative prison-level studies that find that nature contact influences prisoners’ self-reported well-being, it uses geographic information systems mapping to generate a new prison greenspace data set, capturing—for a cross section of prisons in England and Wales—the percentage of greenspace within their perimeters. Econometric estimations confirm that greenspace fosters prisoner well-being, in that there are lower levels of self-harm and violence in prisons with more greenspace. These relationships are statistically robust, and they persist when we control for prison size, type, age, and level of crowding. These findings are noteworthy in that they both extend understandings of well-being in custodial environments and have the potential to significantly influence future prison design. The article also provides important new insights demonstrating links between greenspace and well-being that have significance beyond the specifics of carceral environments.