The association of neighbourhood psychosocial stressors and self-rated health in Amsterdam, The Netherlands

Social inequalities in the associations between urban green spaces, self-perceived health and mortality in Brussels: Results from a census-based cohort study

This study examines the associations between residential urban green spaces (UGS) and self-perceived health and natural cause mortality, applying an intersectional approach across gender, education and migrant background. We used data from the 2001 Belgian census linked to register data on emigration and mortality for the period 2001-2014, including 571,558 individuals aged 16-80 residing in Brussels (80% response rate). Residential UGS were assessed with the Normalized Difference Vegetation Index (NDVI) within a 300 m buffer from the residential address and perceived neighbourhood greenness. Multilevel logistic and Cox proportional hazards regression models were conducted to estimate associations between UGS and poor self-perceived health at baseline and natural cause mortality during follow-up. Residential UGS were inversely associated with both outcomes, but there were differences between groups. The strongest beneficial associations among women were found in the lower educated, regardless of their migrant background. For men the strongest association was found in those with tertiary education and Belgian origin. No significant beneficial associations were found in men originating from low and middle-income countries. Applying an intersectionality approach is crucial to understand health inequalities related to UGS exposure. Further research in different geographical contexts is needed to contrast our findings.

Direct and Indirect Impacts of Housing Tenure Mix on Antisocial Behavior: A Study of Hong Kong’s Private Housing Communities

The problem of antisocial behavior (ASB) undermines the life quality of urban residents. While many previous studies on ASB focused on the solutions, little effort has been dedicated to finding out the social determinants of the levels of ASB problems in private housing communities, especially in high-rise residential settings in Asian cities. Previous empirical research suggests that ASB seriousness can be a function of poor neighborliness, community detachment and management efficacy. Yet, the link between housing tenure mix and ASB problems has been underexplored in the literature. In this light, a multilevel design with hierarchical modeling was employed to test the hypothesized direct and indirect (moderation) effects of housing tenure mix on the perceived seriousness of ASB in neighborhoods. The dataset came from a structured questionnaire survey of 592 residents living in 17 private high-rise housing communities in Tseung Kwan O, Hong Kong. The results indicated that the seriousness of the ASB problem was largely dependent on poor neighborliness and community detachment. A higher level of renting in a housing community was also found to amplify perceived ASB seriousness, and enhance the influence of poor neighborliness on ASB seriousness. The research findings highlight the importance of tenure mix in predicting the degree of ASB proliferation in a housing community.

Do investments in low-income neighborhoods produce objective change in health-related neighborhood conditions?

This study examined the effect of neighborhood investments on neighborhood walkability, presence of incivilities, and crime in two low-income, primarily African American neighborhoods in Pittsburgh, USA. During the study period, one of the neighborhoods (the intervention neighborhood) received substantially more publicly-funded investments than a demographically matched comparison neighborhood. Comparisons between the neighborhoods showed a significant difference-in-difference for all three outcomes. The intervention neighborhood experienced significantly more change related to improved walkability and decreased incivilities. However, the control neighborhood experienced better crime-related outcomes. Analyses that focused on resident proximity to investments found similar results. This highlights the nuances of neighborhood investment, which is important to consider when thinking about public policy.

The role of individual, household, and area of residence factors on self-rated health in Colombian adults: A multilevel study

Introduction:

Self-rated health is strongly associated with morbidity and mortality. It is largely influenced by individual factors but also by individuals’ social surroundings and environment.

Objective:

To investigate individual, household, and locality factors associated with self- rated health in Colombian adults.

Materials and methods:

We conducted a cross-sectional multilevel study using data from national databases on 19 urban localities and 37,352 individuals nested within 15,788 households using a population-based survey. Given the natural hierarchical structure of the data, the estimates of self-rated health related to individual, household, and locality characteristics were obtained by fitting a three-level logistic regression.

Results:

The adjusted multilevel logistic models showed that at individual level, higher odds of poor self-rated health were found among older adults, persons from low socio-economic status, those living without a partner, with no regular physical activity, and reporting morbidities. At the household level, poor self-rated health was associated with households of low socioeconomic status located near noise sources and factories and in polluted and insecure areas. At the locality level, only poverty was associated with poor self-rated health after adjusting for individual and household variables.

Conclusions:

These results highlight the need for a more integrated framework when designing and implementing strategies and programs that aim to improve health conditions in urban populations in Latin America.

Green Spaces, Land Cover, Street Trees and Hypertension in the Megacity of São Paulo

Proximity to green spaces has been shown to be beneficial to several cardiovascular outcomes in urban spaces. Few studies, however, have analyzed the relationship between these outcomes and green space or land cover uses in low-medium income megacities, where the consequences of rapid and inordinate urbanization impose several health hazards. This study used a subgroup of the dataset from The Brazilian Longitudinal Study of Adult Health ELSA-BRASIL (n= 3418) to identify the correlation between the medical diagnosis of hypertension and green spaces in the megacity of São Paulo. Land cover classification was performed based on the random forest algorithm using geometrically corrected aerial photography (orthophoto). Three different indicators of exposure to green spaces were used: number of street trees, land cover and number of parks within 1 km. We used logistic regression models to obtain the association of the metrics exposure and health outcomes. The number of street trees in the regional governments (OR = 0.937 and number of parks within 1 km (OR = 0.876) were inversely associated with a diagnosis of hypertension. Sixty-three percent of the population had no parks within 1 km of their residence. Our data indicate the need to encourage large-scale street tree planting and increase the number of qualified parks in megacities.

A systematic review of multi-dimensional quality assessment tools for urban green spaces

We conducted a systematic review of quality assessment tools for urban green spaces to evaluate their replicability, comparability and validity. We assessed the characteristics of 15 published, multi-dimensional, direct observation tools regarding: publication, development, features and included dimensions. Even though all tools show acceptable inter-rater variability, there is a notable variability in their characteristics, from required time to conduct the assessment to the number of included items. Additionally, some specific dimensions are underrepresented, and the study units' definitions are feeble. We showcased the need for new tools that are more comprehensive and include more consistent reporting measures.

Self-rated health and its association with perceived environmental hazards, the social environment, and cultural stressors in an environmental justice population

Background

Communities with large minority populations often are located near sources of pollution and have higher crime rates, which may work in combination with other factors to influence health. Poor self-rated health is related to chronic health conditions and premature mortality, with minority populations most likely to report poor health. To address how both resident perception of neighborhood environments and chronic health conditions individually and collectively influence health, we examined self-rated health and its association with multiple types of perceived environmental hazards in a majority-Hispanic urban population.

Methods

We conducted interviews with 354 residents of Chelsea, Massachusetts, US and asked about self-rated health, perceptions of their neighborhood, including participant-reported environmental hazards (e.g., air quality, odors and noise), aspects of the social environment (e.g., feeling safe, neighborhood crime, social cohesion), and culture-related stressors (e.g., immigration status, language stress, ethnic identity). Log-linear models examined the independent and multivariable associations between these factors and fair/poor self-rated health, controlling for socio-demographic characteristics and preexisting health conditions.

Results

Forty-one percent of participants reported fair/poor self-rated health. Participants frequently perceived environmental hazards such as problems with pests and regular noise disturbance as well as feeling unsafe. In a multivariable model, a greater number of reported noise disturbances (≥ 2 noise sources = 1.53 [1.04–2.26]) and reported insecurity with immigration status (1.66 [1.01–2.73]) were positively associated with fair/poor self-rated health. High social cohesion was inversely associated (0.74 [0.48–1.14]) with fair/poor self-rated health in the multivariable model.

Conclusions

Negative perceptions of environmental hazards and reported cultural stressors were significantly associated with fair/poor self-rated health among residents in a low-income majority-minority community, with social cohesion having a beneficial association with self-rated health. Efforts to improve health should recognize the importance of public perceptions of social and environmental hazards found in neighborhood environments, and benefits of strengthening community connections.

Electronic supplementary material

The online version of this article (10.1186/s12889-018-5797-7) contains supplementary material, which is available to authorized users.

Does high-rise residential building design shape antisocial behaviour?

Purpose

The purpose of this paper is to examine links between environmental design of high-rise housing communities and residents’ perceptions about antisocial behaviour (ASB).

Design/methodology/approach

A conceptual framework was proposed to investigate correlations between architectural design parameters and perceived severity of ASB activity. A questionnaire was administered to test the relationships. Residents of 14 public rental housing estates in Hong Kong participated, and 422 complete responses were analysed.

Findings

Strong correlation was discovered between elements of residential design and residents’ perceptions of ASB severity. Block layout, building height and number of flats per floor affected residents’ feelings about ASB threat. Access to outside air in communal corridors also significantly reduced residents’ complaints about ASB.

Practical implications

This study offers insights into how architectural design of high-rise residences might reduce residents’ perception of ASB severity. Findings impact current ASB research, but also architects’ and developers’ designs. Better planned built environments will enhance residents’ security and satisfaction, reinforcing communities.

Originality/value

Previous studies have ignored whether architectural design of high-rises could directly influence residents’ perception of ASB severity. This study is the first to focus on the relationship.

The effect of street-level greenery on walking behavior: Evidence from Hong Kong

Accumulating evidence shows that urban greenspaces have great health benefits, but establishing a causal relationship is difficult. It is often hypothesized that walking and physical activity are mediators in the relationship between urban greenspaces and health outcomes. Furthermore, most urban greenspace-physical activity studies have focused on parks rather than on landscaped streets, even though the latter are the most popular places for physical activity. The lack of research attention for landscaped streets is largely due to the fact that street greenery is difficult to measure, especially at eye level. Using readily available Google Street View images, we developed methods and tools to assess the availability of eye-level street greenery. A two-layered study was developed that 1) examined the association between urban greenspaces and the odds of walking (versus not walking) for 90,445 participants in the Hong Kong Travel Characteristics Survey and 2) carried out sensitivity analysis of the association between urban greenspaces and total walking time for a subset of 6770 participants. Multilevel regression models were developed to reveal the associations between street greenery and walking behaviors while controlling for sociodemographic characteristics and other activity-influencing built environment factors, taking into account the inherent clustering within the data. The results showed that both street greenery and the number of parks were associated with higher odds of walking; street greenery but not parks was associated with total walking time. Our results suggest that walking behavior is at least as strongly affected by eye-level street greenery as by parks. They also implicitly support the health benefits of urban greenspaces via walking and physical activity. With the large sample size, our findings pertain to the entire population of Hong Kong. Furthermore, the use of Google Street View is a sound and effective way to assess eye-level greenery, which may benefit further health studies.

Are area-level and individual-level socioeconomic factors associated with self-rated health in adult urban citizens? Evidence from Slovak and Dutch cities

Background

Evidence shows that living in disadvantaged areas is associated with poor health. This may be due to the socioeconomic (SE) characteristics of both these residents and the areas where they live. Evidence regarding this on Central European (CE) countries is scarce. Our aim was to assess whether the prevalence of poor self-rated health (SRH) was higher in deprived urban areas, whether this can be explained by individual SE status (SES) and whether this differed between Slovakia and the Netherlands per age group. We examined the association of urban-level data and individual-level SE factors from different urban areas in different countries (Slovakia, the Netherlands) using comparable urban health indicators and area indicators. We also obtained unique data from the EU-FP7 EURO-URHIS 2 project. Multilevel logistic regression showed that poor SRH was associated with area deprivation in both countries. Regarding age by country, poor SRH occurred more frequently in the more deprived areas for the younger age group (≤64) in the Netherlands but for the older age group (≥65 years) in Slovakia. Moreover, Slovak citizens reported poor SRH significantly more often than Dutch residents. Individual SES was significantly associated with poor SRH in both age groups and both countries for most area-level SE measures. Individual SES is associated with SRH more strongly than area deprivation. Therefore, it is important to account for relative deprivation at an individual level when considering health-enhancing activities. Moreover, the effect of urban-area deprivation seems to differ between CE and WE countries.

Neighbourhood socioeconomic deprivation and health-related quality of life: A multilevel analysis

Objective

To assess the relationship between socioeconomic deprivation and health-related quality of life in urban neighbourhoods, using a multilevel approach.

Methods

Of the population-based cohort EPIPorto, 1154 georeferenced participants completed the 36-Item Short-Form Health Survey. Neighbourhood socioeconomic deprivation classes were estimated using latent-class analysis. Multilevel models measured clustering and contextual effects of neighbourhood deprivation on physical and mental HRQoL.

Results

Residents from the least deprived neighbourhoods had higher physical HRQoL. Neighbourhood socioeconomic deprivation together with individual-level variables (age, gender and education) and health-related factors (smoking, alcohol consumption, sedentariness and chronic diseases) explained 98% of the total between-neighbourhood variance. Neighbourhood socioeconomic deprivation was significantly associated with physical health when comparing least and most deprived neighbourhoods (class 2—beta coefficient: -0.60; 95% confidence interval:-1.76;-0.56; class 3 –beta coefficient: -2.28; 95% confidence interval:-3.96;-0.60), and as neighbourhood deprivation increases, a decrease in all values of physical health dimensions (physical functioning, role physical, bodily pain and general health) was also observed. Regarding the mental health dimension, no neighbourhood clustering or contextual effects were found. However, as neighbourhood deprivation increases, the values of vitality and role emotional dimensions significantly decreased.

Conclusion

Neighbourhood socioeconomic deprivation is associated with HRQoL, affecting particularly physical health. This study suggests that to improve HRQoL, people and places should be targeted simultaneously.

Quality over Quantity: Contribution of Urban Green Space to Neighborhood Satisfaction

There is increasing evidence that the quality of green space significantly contributes to neighborhood satisfaction and well-being, independent of the mere amount of green space. In this paper, we examined residents’ perceptions of the quality and beneficial affordances of green space in relation to objectively assessed accessibility and usability. We used data from a survey in two neighborhoods (N = 223) of a medium-sized city in the Netherlands, which were similar in the amount of green space and other physical and socio-demographic characteristics, but differed in the availability of accessible and usable green spaces. Results show that residents of the neighborhood with a higher availability of accessible and usable green spaces were more satisfied with their neighborhood. This difference was statistically mediated by the higher level of perceived green space quality. Neighborhood satisfaction was significantly positively related to well-being. However, residents of the two neighborhoods did not differ in self-reported well-being and beneficial affordances of green space. These analyses contribute to a further understanding of how the accessibility and usability of green spaces may increase people’s neighborhood satisfaction. It highlights the importance of perceived quality in addition to the amount of green space when examining the beneficial effects of green space.

Neighborhood Conditions and Psychosocial Outcomes Among Middle-Aged African Americans

OBJECTIVE

We examined associations between observed neighborhood conditions (good/adverse) and psychosocial outcomes (stress, depressive symptoms, resilience, and sense of control) among middle-aged and older African Americans.

METHODS

The sample included 455 middle-aged and older African Americans examined in Wave 10 of the African American Health (AAH) study. Linear regression was adjusted for attrition, self-selection into neighborhoods, and potential confounders, and stratified by the duration at current address (<5 vs ≥5 years) because of its hypothesized role as an effect modifier.

RESULTS

Among individuals who lived at their current address for ≥5 years, residing in neighborhoods with adverse versus good conditions was associated with significantly less stress (standardized β = -0.18; P = .002) and depressive symptoms (standardized β = -0.12; P = .048). Among those who lived at their current address for <5 years, residing in neighborhoods with adverse versus good conditions was not significantly associated with stress (standardized β = 0.18; P = .305) or depressive symptoms (standardized β = 0.36; P = .080).

CONCLUSION

Neighborhood conditions appear to have significant, complex associations with psychosocial factors among middle-aged and older African Americans. This holds important policy implications, especially since adverse neighborhood conditions may still result in adverse physical health outcomes in individuals with >5 years at current residence despite being associated with better psychosocial outcomes.

Self-assessed health status and neighborhood context

In recent years, there has been growing interest in the relationship between the characteristics of neighborhoods and the health and well-being of residents. The focus on neighborhood as a health determinant is based on the hypothesis that residing in a disadvantaged neighborhood can negatively influence health outcomes beyond the effect of individual characteristics. In this article, we examine three possible ways of measuring neighborhood socio-economic status, and how they each impact on self-reported health status beyond the effect contributed by individual-level factors. Using individual-level data from the Household Income and Labor Dynamics Australia survey combined with neighborhood-level (suburb) data, we tested the proposition that how one measures neighborhood socio-economic characteristics may provide an important new insight into understanding the links between individual-level outcomes and neighborhood-level characteristics. The findings from the analysis illustrate that although individual-level factors may be important to understanding health outcomes, how one accounts for neighborhood-level socio-economic status may be equally important. The findings suggest that in developing place-based health programs, policy makers need to account for the complex interactions between individual drivers and the potential complexities of accounting for neighborhood socio-economic status.

Greener living environment healthier people?: Exploring green space, physical activity and health in the Doetinchem Cohort Study

BACKGROUND

Evidence is emerging that more green space in the living environment is associated with better health, partly via the pathway of physical activity.

OBJECTIVES

We explored the cross-sectional and longitudinal associations between green space and physical activity and several health indicators in the Doetinchem Cohort Study.

METHODS

A random sample of men and women aged 20-59years at baseline was measured max 5 times with 5year-intervals in the period 1987-2012. Data of round 3-5 were used. Measurements were based on examinations (height, weight, blood pressure) or questionnaires (physical activity, perceived health, depressive symptoms, chronic conditions). The percentage of green space (mainly urban and agricultural green) around the home address (125m and 1km) was calculated using satellite data.

RESULTS

More agricultural green was associated with less time spent on bicycling (β1km=-0.15, 95%CL -0.13; -0.04) and sports (β1km=-0.04, 95%CL -0.07; -0.01) and more time spent on gardening (β1km=0.16, 95%CL 0.12; 0.19) and odd jobs (β1km=0.10, 95%CL 0.05; 0.15), and this was in the other direction for urban green. For only a few of the many health indicators a positive association with green was found, and mainly for total green within 1km radius. Longstanding green or a transition to more green did not show more pronounced associations with health.

CONCLUSIONS

For the green space range of the Doetinchem area the findings do not strongly support the hypothesis that the percentage of green in the living environment affects health positively. The distinction by type of green may, however, be relevant for physical activity.

Living environment matters: relationships between neighborhood characteristics and health of the residents in a Dutch municipality

Characteristics of an individual alone cannot exhaustively explain all the causes of poor health, and neighborhood of residence have been suggested to be one of the factors that contribute to health. However, knowledge about aspects of the neighborhood that are most important to health is limited. The main objective of this study was to explore associations between certain features of neighborhood environment and self-rated health and depressive symptoms in Maastricht (The Netherlands). A large amount of routinely collected neighborhood data were aggregated by means of factor analysis to 18 characteristics of neighborhood social and physical environment. Associations between these characteristics and self-rated health and presence of depressive symptoms were further explored in multilevel logistic regression models adjusted for individual demographic and socio-economic factors. The study sample consisted of 9,879 residents (mean age 55 years, 48 % male). Residents of unsafe communities were less likely to report good health (OR 0.88 95 % CI 0.80-0.97) and depressive symptoms (OR 0.81 95 % CI 0.69-0.97), and less cohesive environment was related to worse self-rated health (OR 0.81 95 % CI 0.72-0.92). Residents of neighborhoods with more car traffic nuisance and more disturbance from railway noise reported worse mental health (OR 0.79 95 % CI 0.68-0.92 and 0.85 95 % CI 0.73-0.99, respectively). We did not observe any association between health and quality of parking and shopping facilities, facilities for public or private transport, neighborhood aesthetics, green space, industrial nuisance, sewerage, neighbor nuisance or satisfaction with police performance. Our findings can be used to support development of integrated health policies targeting broader determinants of health. Improving safety, social cohesion and decreasing traffic nuisance in disadvantaged neighborhoods might be a promising way to improve the health of residents and reduce health inequalities.

"It is about being outside": Canadian youth's perspectives of good health and the environment

Drawing on qualitative data generated from an ethnographic study exploring Canadian youth's understanding of health, this paper examines youth's perspectives of the relationships between health and environment. Seventy-one youth (12 to 19 years of age) took part in individual and focus group interviews, as well as in photovoice interviews. Although initial discourse about health mainly focused on healthy eating and exercise, youth were more enthused and able to share their thoughts and feelings about the relationships between health and environment during the photovoice interviews. For these youth, good health was defined and visualized as "being outside" in a safe, clean, green, and livable space. Youth talked about conditions contributing to healthy environments and how healthy environments contributed to a strong sense of place. Overall, the conversations about the environment evoked many feelings in the youth. Results are discussed in the context of current research and in relation to youth, but also more broadly in relation to research on health and environment.

Perception of neighborhood environment and health risk behaviors in Prague's teenagers: a pilot study in a post-communist city

BACKGROUND

A youths' neighborhood can play an important role in their physical, health, and emotional development. The prevalence of health risk behavior (HRB) in Czech youth such as smoking, drug and alcohol use is the highest in Europe.

AIM

To analyze differences in HRB in youth residents within different types of Prague's neighborhoods in relation to the perception of the built environment, quality of their school and home environments.

DATA AND METHODS

The data is based on the on-line survey among elementary school students aged between 14-15 years, which was administered in19 selected schools in Prague, during the months of October 2013 to March 2014. Respondents were asked their opinions on various issues related to their HRB, about their indoor and outdoor housing and school environments. The questionnaire was completed by 407 students. Factor analysis with a principal components extraction was applied to determine the underlying structure in the variables. A consequent field research was conducted to map the opportunity hot spots and critical places around the elementary schools.

RESULTS

Binge drinking has been reported mainly by the students living in the housing estates with blocks of flats. The most frequent occurrence of daily smokers was found in the neighborhoods of old city apartment houses. High prevalence of risky marijuana use almost in all the surveyed types of neighborhoods. The respondents were more critical in their evaluation of school characteristics. The neighborhoods critically evaluated by the students as regards the school outdoor environments were the older apartment houses in the historical centre and inner city, the school indoor environment was worst assessed within the housing estate neighborhoods.

CONCLUSIONS

Our results suggest that perceptions of problems in both residential and school environment are associated with HRB. This fact makes this issue of a serious importance also from the policy point of view. Mainly the school surroundings have to be better managed by the local authorities responsible for the public space. This research thus forms part of the Sophie project aiming to find the most efficient policies that would tackle with the inequalities in the health and quality of life.

The effect of urban-area unemployment on the mental health of citizens differs between Slovak and Dutch cities

Conclusive evidence on the association of mental health problems (MHP) with area unemployment is lacking in regard to Central European cities. We obtained data on residents aged 19-64 from Slovak and Dutch cities from the FP7 EURO-URHIS 2 project. Multilevel logistic regression showed that the association between MHP (GHQ-12-total score ≥2) and area unemployment was strong in the Netherlands, but absent in Slovakia. Slovak citizens from the most favourable neighbourhoods had nearly double the risk of MHP than their Dutch counterparts. Individual-level socioeconomic characteristics did not explain area differences. The effect of urban-area unemployment seems to differ between Central European and Western European countries.

Assessing associations between socio-economic environment and self-reported health in Amsterdam using bespoke environments

Background

The study of the relationship between residential environment and health at micro area level has a long time been hampered by a lack of micro-scale data. Nowadays data is registered at a much more detailed scale. In combination with Geographic Information System (GIS)-techniques this creates opportunities to look at the relationship at different scales, including very local ones. The study illustrates the use of a ‘bespoke environment’ approach to assess the relationship between health and socio-economic environment.

Methods

We created these environments by buffer-operations and used micro-scale data on 6-digit postcode level to describe these individually tailored areas around survey respondents in an accurate way. To capture the full extent of area effects we maximized variation in socio-economic characteristics between areas. The area effect was assessed using logistic regression analysis.

Results

Although the contribution of the socio-economic environment in the explanation of health was not strong it tended to be stronger at a very local level. A positive association was observed only when these factors were measured in buffers smaller than 200 meters. Stronger associations were observed when restricting the analysis to socioeconomically homogeneous buffers. Scale effects proved to be highly important but potential boundary effects seemed not to play an important role. Administrative areas and buffers of comparable sizes came up with comparable area effects.

Conclusions

This study shows that socio-economic area effects reveal only on a very micro-scale. It underlines the importance of the availability of micro-scale data. Through scaling, bespoke environments add a new dimension to study environment and health.

Material, psychosocial and behavioural factors associated with self-reported health in the Republic of Ireland: cross-sectional results from the SLAN survey

OBJECTIVES

To explore the associations between various material, psychosocial and behavioural factors and self-reported health (SRH), and to determine whether these associations varied according to educational level.

DESIGN

Representative national cross-sectional survey.

SETTING

Republic of Ireland.

PARTICIPANTS

4369 men and 5995 women aged 18 or more (Survey of Lifestyle, Attitudes and Nutrition (SLÁN) 2007).

METHODS

SRH was measured using one single item. Three groups of factors were studied: material, psychosocial and behavioural factors. Statistical analyses were performed using logistic regression analysis and interaction testing, the sample design being taken into account. All results were adjusted for age and educational level and stratified on gender.

RESULTS

When each group of factors was studied separately, non-working status, no private health insurance, inability to afford enough food, no car, being non-married, low social participation, serious neighbourhood problems, low social support, smoking, no alcohol consumption, illicit drug use, low physical activity and obesity were associated with poor SRH. When studied together, some material and psychosocial factors were no longer significant. Four significant interaction terms were found, suggesting that some factors might have a stronger association with SRH among low-educated people.

CONCLUSIONS

Various types of factors were found to be associated with SRH, and most of these associations were similar according to educational level. Behavioural factors might be intermediate factors in the causal pathways from material and psychosocial factors to SRH. Prevention policies should integrate a large number of factors comprehensively to improve SRH.

Neighbourhood safety and area deprivation modify the associations between parkland and psychological distress in Sydney, Australia

Background

The aim of this study was to investigate how perceived neighbourhood safety and area deprivation influenced the relationship between parklands and mental health.

Methods

Information about psychological distress, perceptions of safety, demographic and socio-economic background at the individual level was extracted from New South Wales Population Health Survey. The proportion of a postcode that was parkland was used as a proxy measure for access to parklands and was calculated for each individual. Generalized Estimating Equations logistic regression analyses were performed to account for correlation between participants within postcodes, and with controls for socio-demographic characteristics and socio-economic status at the area level.

Results

In areas where the residents reported perceiving their neighbourhood to be “safe” and controlling for area levels of socio-economic deprivation, there were no statistically significant associations between the proportion of parkland and high or very high psychological distress. In the most disadvantaged neighbourhoods which were perceived as unsafe by residents, those with greater proportions of parkland, over 20%, there was greater psychological distress, this association was statistically significant (20-40% parkland: OR=2.27, 95% CI=1.45-3.55; >40% parkland: OR=2.53, 95% CI=1.53-4.19).

Conclusion

Our study indicates that perceptions of neighbourhood safety and area deprivation were statistically significant effect modifiers of the association between parkland and psychological distress.

The association between neighborhood disorder, social cohesion and hazardous alcohol use: a national multilevel study

BACKGROUND

Evidence on associations of alcohol use with neighborhood disorder and social cohesion is limited. The aim of this study was to further investigate these associations.

METHODS

Individual data of 14,258 Dutch adults, living in 1546 neighborhoods across The Netherlands, were obtained from the 2006 to 2009 national health survey (POLS). Data on neighborhood disorder and social cohesion were derived from the 2006 Netherlands Housing Research (WoON). Hazardous drinking was measured as: ≥14, ≥21, and ≥28 drinks/week for women, and ≥21, ≥28, and ≥35 for men. Multilevel logistic regression models were adjusted for age, gender, ethnicity, marital status, education, income, wealth, predominant neighborhood religion, and population density. Potential mediation of psychological distress (depression and anxiety) and general mental health (MHI-5 score) was tested.

RESULTS

High neighborhood disorder was associated with more hazardous alcohol use for women (OR cut-off 3: 3.72 [2.03-6.83]), but not for men (OR cut-off 3: 1.08 [0.72-1.62]). There was no mediation by psychological distress, and modest mediation by general mental health. Social cohesion had no linear association with hazardous alcohol use, but for males moderate social cohesion was associated with more hazardous alcohol use (OR cut-off 1: 1.29 [1.08-1.53]). In predominantly Protestant neighborhoods this association seemed weaker.

CONCLUSIONS

Hazardous alcohol use seems to have a stronger and more consistent relationship with neighborhood disorder than with social cohesion. This suggests that negative aspects of the social environment have more impact on the prevalence of hazardous alcohol use than positive factors related to sociability and support.

Ruling out trouble: Unacceptable behaviour and its control in Hong Kong's public housing

Resident satisfaction is contingent not only on housing design and construction, but also on neighbourhood quality. However, many neighbourhoods around the world are distressed by neighbourhood nuisances or unacceptable behaviour of the residents. While interventionist approaches and incentives have been adopted in many countries to curb these problems, a punitive measure is used in Hong Kong instead. The Housing Department launched the Marking Scheme for Tenancy Enforcement in Public Housing Estates immediately after the SARS epidemic. The scheme operates as a penalty-point system where sitting tenants will be expelled from public housing if they receive sixteen points for the misdeeds they have committed. Yet, the marking scheme itself was put onto the stage without any prior public consultation. Besides, it has been criticised for its unfair and tenure-biased enforcement. Also, whether the scheme is widely accepted is highly doubtful. Against this background, this study aims to explore the tenants' views regarding residents' unacceptable behaviour and the marking scheme in Hong Kong's public housing. The findings of this research offer valuable insights into the perceived extent and causes of the neighbourhood problems. Moreover, this research lets the public administrators know the acceptability of the marking scheme among public housing tenants.

A difference-in-differences analysis of health, safety, and greening vacant urban space

Greening of vacant urban land may affect health and safety. The authors conducted a decade-long difference-in-differences analysis of the impact of a vacant lot greening program in Philadelphia, Pennsylvania, on health and safety outcomes. "Before" and "after" outcome differences among treated vacant lots were compared with matched groups of control vacant lots that were eligible but did not receive treatment. Control lots from 2 eligibility pools were randomly selected and matched to treated lots at a 3:1 ratio by city section. Random-effects regression models were fitted, along with alternative models and robustness checks. Across 4 sections of Philadelphia, 4,436 vacant lots totaling over 7.8 million square feet (about 725,000 m(2)) were greened from 1999 to 2008. Regression-adjusted estimates showed that vacant lot greening was associated with consistent reductions in gun assaults across all 4 sections of the city (P < 0.001) and consistent reductions in vandalism in 1 section of the city (P < 0.001). Regression-adjusted estimates also showed that vacant lot greening was associated with residents' reporting less stress and more exercise in select sections of the city (P < 0.01). Once greened, vacant lots may reduce certain crimes and promote some aspects of health. Limitations of the current study are discussed. Community-based trials are warranted to further test these findings.

Violent crime in San Antonio, Texas: an application of spatial epidemiological methods

Violent crimes are rarely considered a public health problem or investigated using epidemiological methods. But patterns of violent crime and other health conditions are often affected by similar characteristics of the built environment. In this paper, methods and perspectives from spatial epidemiology are used in an analysis of violent crimes in San Antonio, TX. Bayesian statistical methods are used to examine the contextual influence of several aspects of the built environment. Additionally, spatial regression models using Bayesian model specifications are used to examine spatial patterns of violent crime risk. Results indicate that the determinants of violent crime depend on the model specification, but are primarily related to the built environment and neighborhood socioeconomic conditions. Results are discussed within the context of a rapidly growing urban area with a diverse population.

Neighborhood sociodemographic and environmental contexts and self-rated health among Brazilian adults: a multilevel study

The aim of this study was to investigate the association between sociodemographic and environmental contexts on self-rated health. A population-based cross-sectional study with a random sample of 38 neighborhoods (census tracts) and 1,100 adults was carried out. Data analysis used multilevel logistic regression. Data from the Brazilian Census of 2000, mean income, years of study of the head of household and mean number of residents per tract were R$955 (SD = 586), 8 years (SD = 3), and 746 residents (SD = 358) respectively. Higher prevalences of fair/poor self-rated health were found in neighborhoods with greater populations and lower income/schooling levels. After control for individual variables, the odds for fair/poor self-rated health was twice as high in more populous (OR = 2.04; 95%CI: 1.15-3.61) and lower-income neighborhoods (OR = 2.29; 95%CI: 1.16-4.50) compared to less populous, higher-income ones. Self-rated health depends on individual characteristics and the sociodemographic context of neighborhoods.

Our environment, our health: a community-based participatory environmental health survey in Richmond, California

This study presents a health survey conducted by a community-based participatory research partnership between academic researchers and community organizers to consider environmental health and environmental justice issues in four neighborhoods of Richmond, California, a low-income community of color living along the fence line of a major oil refinery and near other industrial and mobile sources of pollution. The Richmond health survey aimed to assess local concerns and perceptions of neighborhood conditions, health problems, mobile and stationary hazards, access to health care, and other issues affecting residents of Richmond. Although respondents thought their neighborhoods were good places to live, they expressed concerns about neighborhood stressors and particular sources of pollution, and identified elevated asthma rates for children and long-time Richmond residents. The Richmond health survey offers a holistic, community-centered perspective to understanding local environmental health issues, and can inform future environmental health research and organizing efforts for community-university collaboratives.

Area-aggregated assessments of perceived environmental attributes may overcome single-source bias in studies of green environments and health: results from a cross-sectional survey in southern Sweden

BACKGROUND

Most studies assessing health effects of neighborhood characteristics either use self-reports or objective assessments of the environment, the latter often based on Geographical Information Systems (GIS). While objective measures require detailed landscape data, self-assessments may yield confounded results. In this study we demonstrate how self-assessments of green neighborhood environments aggregated to narrow area units may serve as an appealing compromise between objective measures and individual self-assessments.

METHODS

The study uses cross-sectional data (N = 24,847) from a public health survey conducted in the county of Scania, southern Sweden, in 2008 and validates the Scania Green Score (SGS), a new index comprising five self-reported green neighborhood qualities (Culture, Lush, Serene, Spacious and Wild). The same qualities were also assessed objectively using landscape data and GIS. A multilevel (ecometric) model was used to aggregate individual self-reports to assessments of perceived green environmental attributes for areas of 1,000 square meters. We assessed convergent and concurrent validity for self-assessments of the five items separately and for the sum score, individually and area-aggregated.

RESULTS

Correlations between the index scores based on self-assessments and the corresponding objective assessments were clearly present, indicating convergent validity, but the agreement was low. The correlation was even more evident for the area-aggregated SGS. All three scores (individual SGS, area-aggregated SGS and GIS index score) were associated with neighborhood satisfaction, indicating concurrent validity. However, while individual SGS was associated with vitality, this association was not present for aggregated SGS and the GIS-index score, suggesting confounding (single-source bias) when individual SGS was used.

CONCLUSIONS

Perceived and objectively assessed qualities of the green neighborhood environment correlate but do not agree. An index score based on self-reports but aggregated to narrow area units can be a valid approach to assess perceived green neighborhood qualities in settings where objective assessments are not possible or feasible.

Using Google Street View to audit neighborhood environments

BACKGROUND

Research indicates that neighborhood environment characteristics such as physical disorder influence health and health behavior. In-person audit of neighborhood environments is costly and time-consuming. Google Street View may allow auditing of neighborhood environments more easily and at lower cost, but little is known about the feasibility of such data collection.

PURPOSE

To assess the feasibility of using Google Street View to audit neighborhood environments.

METHODS

This study compared neighborhood measurements coded in 2008 using Street View with neighborhood audit data collected in 2007. The sample included 37 block faces in high-walkability neighborhoods in New York City. Field audit and Street View data were collected for 143 items associated with seven neighborhood environment constructions: aesthetics, physical disorder, pedestrian safety, motorized traffic and parking, infrastructure for active travel, sidewalk amenities, and social and commercial activity. To measure concordance between field audit and Street View data, percentage agreement was used for categoric measures and Spearman rank-order correlations were used for continuous measures.

RESULTS

The analyses, conducted in 2009, found high levels of concordance (≥80% agreement or ≥0.60 Spearman rank-order correlation) for 54.3% of the items. Measures of pedestrian safety, motorized traffic and parking, and infrastructure for active travel had relatively high levels of concordance, whereas measures of physical disorder had low levels. Features that are small or that typically exhibit temporal variability had lower levels of concordance.

CONCLUSIONS

This exploratory study indicates that Google Street View can be used to audit neighborhood environments.

Regional and individual influences on use of mental health services in Canada

OBJECTIVE

Knowledge is lacking on the extent to which area-level characteristics contribute to variations observed in the use of mental health services. This study examined the influence of area- and individual-level characteristics on the use of mental health services.

METHODS

Data from a nationally representative, population-based, cross-sectional survey, the Canadian Community Health Survey-Mental Health and Well-Being, consisting of adults aged 15 years or older (n = 36 984), were linked to Canadian 2001 Census profiles according to health region boundaries (n = 97). Multilevel multivariable logistic regression modelling was used to: estimate variation in 12-month self-reported use of health services for mental health reasons between health regions; and, estimate the effects of individual- and area-level need, health resources, and sociodemographic factors on self-reported 12-month use of medical services for mental health reasons.

RESULTS

There was a 2.1% and 3.5% regional variation for general practitioner-family physician (GP-FP) and psychiatric health service use during 12 months, respectively. Most of the regional variation observed was explained by number of physicians per health region and regional and individual need factors. Adults who were middle-aged, had a post-secondary education, low-income, were separated, widowed, or divorced, and Canadian-born were significantly more likely to use GP-FP and psychiatry services for mental health reasons at the individual level, even after adjusting for area- and individual-level need factors.

CONCLUSIONS

Most area-level variation was explained by the availability of health region resources and individual-level need factors. After accounting for need, numerous sociodemographic factors retained their association with use of mental health services. Additional efforts are needed at the area and individual level to reduce inequities through appropriate targeted care.

Individual and contextual covariates of burnout: a cross-sectional nationwide study of French teachers

BACKGROUND

Limited information on the covariates of burnout syndrome in French teachers is available. The aim of this study was to evaluate the relative contributions of individual and contextual factors on the three burnout dimensions: emotional exhaustion, depersonalization, and reduced personal accomplishment.

METHODS

The source data come from an epidemiological postal survey on physical and mental health conducted in 2005 among 20,099 education workers (in activity or retired) selected at random from the health plan records of the national education system. The response rate was 52.4%. Teachers in activity currently giving classes to students who participated in the survey (n = 3,940) were invited to complete a self-administered questionnaire including the Maslach Burnout Inventory. 2,558 teachers provided complete data (64.9%). Variables associated with high emotional exhaustion (highest quartile of score), high depersonalization (highest quartile), and reduced personal accomplishment (lowest quartile) were evaluated using multivariate logistic regression. Studied variables referred to demographic characteristics, socio-professional environment, job dissatisfaction, experienced difficulties at work, and teaching motivations.

RESULTS

Different variables were associated with each burnout dimension. Female teachers were more susceptible to high emotional exhaustion and reduced personal accomplishment, whereas male teachers were more susceptible to high depersonalization. Elementary school teachers were more susceptible to high emotional exhaustion, but less susceptible to high depersonalization and reduced personal accomplishment than their higher school level counterparts. Experienced difficulties with pupils were associated with all three dimensions. A socio-economically underprivileged school neighbourhood was also related to high emotional exhaustion and high depersonalization.

CONCLUSION

Programs to enhance teaching environment might be an interesting approach to try to prevent burnout. It would be useful to take the different dimensions into account in planning the intervention.

Neighborhood environment and self-rated health among adults in Southern Sri Lanka

The prevalence of different neighborhood environmental stressors and associations between the stressors and self-rated health are described in a representative sample of 2,077 individuals, aged 18–85 years, in southern Sri Lanka. Mosquito menace (69.4%), stray dog problems (26.8%), nuisance from neighbors (20.3%), and nuisance from drug users (18.7%) were found to be the most prevalent environmental stressors. None of the stressors investigated were associated with self-rated physical health, but nuisance from neighbors, nuisance from drug users, shortage of water and having poor water/sewage drainage system were associated with self-rated mental health among the respondents.

Do neighborhood economic characteristics, racial composition, and residential stability predict perceptions of stress associated with the physical and social environment? Findings from a multilevel analysis in Detroit

As the body of evidence linking disparities in the health of urban residents to disparate social, economic and environmental contexts grows, efforts to delineate the pathways through which broader social and economic inequalities influence health have burgeoned. One hypothesized pathway connects economic and racial and ethnic inequalities to differentials in stress associated with social and physical environments, with subsequent implications for health. Drawing on data from Detroit, Michigan, we examined contributions of neighborhood-level characteristics (e.g., poverty rate, racial and ethnic composition, residential stability) and individual-level characteristics (e.g., age, gender) to perceived social and physical environmental stress. We found that neighborhood percent African American was positively associated with perceptions of both social and physical environmental stress; neighborhood percent poverty and percent Latino were positively associated with perceived physical environmental stress; and neighborhood residential stability was negatively associated with perceived social environmental stress. At the individual level, whites perceived higher levels of both social and physical environmental stress compared to African American residents of the same block groups, after accounting for other variables included in the models. Our findings suggest the importance of understanding and addressing contributions of neighborhood structural characteristics to perceptions of neighborhood stress. The consistency of the finding that neighborhood racial composition and individual-level race influence perceptions of both social and physical environments suggests the continuing importance of understanding the role played by structural conditions and by personal and collective histories that vary systematically by race and ethnicity within the United States.

Ethnic differences in the effect of environmental stressors on blood pressure and hypertension in the Netherlands

BACKGROUND

Evidence strongly suggests that the neighbourhood in which people live influences their health. Despite this, investigations of ethnic differences in cardiovascular risk factors have focused mainly on individual-level characteristics. The main purpose of this study was to investigate associations between neighbourhood-level environmental stressors (crime, housing density, nuisance from alcohol and drug misuse, quality of green space and social participation), and blood pressure (BP) and hypertension among different ethnic groups.

METHODS

Individual data from the Amsterdam Health Survey 2004 were linked to data on neighbourhood stressors creating a multilevel design for data analysis. The study sample consisted of 517 Dutch, 404 Turkish and 365 Moroccans living in 15 neighbourhoods in Amsterdam, the Netherlands.

RESULTS

Amongst Moroccans, high density housing and nuisance from drug misuse were associated with a higher systolic BP, while high quality of green space and social participation were associated with a lower systolic BP. High level of nuisance from drug misuse was associated with a higher diastolic BP. High quality of green space was associated with lower odds of hypertension. Amongst Turkish, high level of crime and nuisance from motor traffic were associated with a higher diastolic BP. Similar associations were observed among the Dutch group but none of the differences were statistically significant.

CONCLUSION

The study findings show that neighbourhood-level stressors are associated with BP in ethnic minority groups but were less evident in the Dutch group. These findings might imply that the higher BP levels found in some ethnic minority groups might be partly due to their greater susceptibility to the adverse neighbourhood environment in which many ethnic minority people live. Primary prevention measures targeting these neighbourhood stressors may have an impact in reducing high BP related morbidity and mortality among ethnic minority groups.