Contextual risk factors for the common mental disorders in Britain: a multilevel investigation of the effects of place

Changes in neighborhood physical and social environments matter for change in mental health: Longitudinal evidence from Dutch panel data

Numerous neighborhood environments have been recognized to affect mental health, but only a few longitudinal studies investigated these associations jointly and whether different population groups are affected differently. We used three-wave panel data of 2699 adults between 2010 and 2016 in the Netherlands to assess the associations between changes in neighborhood physical and social environments and mental health changes. Further, we assessed possible effect modification of gender and income. Mental health was measured using the Mental Health Inventory. Time-varying exposure to green space, blue space, population density, air pollution, socioeconomic deprivation, and social fragmentation were assigned based on individuals' neighborhood histories. Fixed-effect regressions were conducted to assess within-person associations between single and multiple exposures on mental health for the entire sample and stratified by gender and income. Our single-exposure models showed that increases in blue space were significantly associated with mental health improvements, while increases in fine particulate matter (PM2.5) resulted in declines in mental health. These associations were not attenuated in the multi-exposure model. We observed no significant associations for the remaining environments. Stratification analyses showed that females' mental health further declined as PM2.5 concentrations increased compared to males. Increasing levels of socioeconomic deprivation were associated with further declines in mental health among the less well-off compared with higher-income earners. Our longitudinal findings suggested that neighborhood physical and social environment changes were associated with mental health changes. Future research is required to establish the underlying pathways.

Does the longitudinal association between neighbourhood cohesion and mental health differ by ethnicity? Results from the UK Household Longitudinal Survey

PURPOSE

While the association between neighbourhood cohesion and mental health has been widely studied in the general population, the effects of neighbourhood cohesion across ethnic groups are not well understood. Ethnicity is often left out of study design, many studies do not consider effect modification by ethnicity, or they rely on overly simplistic ethnic categories.

METHODS

Data from the UK household longitudinal study were used to investigate whether changes in neighbourhood cohesion are independently associated with changes in mental health (measured using the GHQ) over 9 years (2009-2018), and whether the association differed across 17 ethnic groups. The study used a fixed-effect modeling approach that includes within-person estimators that allow each participant to act as their own control.

RESULTS

Compared to British White, the following ethnic groups all saw a similar improvement in GHQ (- 0.76, 95% CI - 0.83 to - 0.70) for each point increase in neighbourhood cohesion: Irish, any other White, White and Asian mixed, Chinese, Caribbean, African, any other Black, Arab, and others. Some ethnic groups saw stronger improvements in mental for each point increase in neighbourhood cohesion, including White and Black Caribbean mixed, any other mixed, Indian, Pakistani, any other Asian, with the strongest effect seen in Bangladeshi participants (- 2.52. 95% CI - 3.48 to - 1.56).

CONCLUSION

Our study highlights the importance of ethnocultural data in research examining neighbourhood effects on mental health. Future research should evaluate policies to improve neighbourhood cohesion for ethnic minorities to address ethnic mental health disparities.

The relationship between early life urbanicity and depression in late adulthood: evidence from the Survey of Health, Ageing and Retirement in Europe

OBJECTIVES

We aimed to study the association of childhood urbanicity with depressive symptoms in late adulthood.

DESIGN, SETTING AND PARTICIPANTS

We used linear and logistic regressions to analyse data drawn from 20 400 respondents from the Survey of Health, Ageing and Retirement in Europe, a panel dataset incorporating a representative sample of the 50+ population in 13 European countries.

OUTCOMES AND ANALYSIS

Childhood urbanicity was determined using self-reports of the respondents' circumstances at age 10, and late-adulthood depression using the EURO-D scale. We conditioned on circumstances early in life as well as later in life, most importantly late-adulthood urbanicity. We estimated the associations using linear regression models and limited dependent variable models.

RESULTS

A pooled regression of both men and women suggested that childhood urbanicity is associated non-monotonically with depression in late adulthood and is particularly apparent for those spending their childhoods in suburban settings. We found that individuals who spend the longest time in their childhood in a suburban home exhibit an average increase in probability of 3.4 (CI 1.1 to 5.7) percentage points in reporting four or more depressive symptoms. The association was robust to the inclusion of a host of household characteristics associated with childhood urbanicity and was independent of current urbanicity and current income. When broken down by gender, we found some evidence of associations between depressive outcomes and urban living for men, and stronger evidence of such associations with urban and suburban living for women who exhibit an increase of 5.6 (CI 2.2 to 9.0) percentage points in reporting four or more depressive symptoms.

CONCLUSIONS

Our analysis reveals a relationship between childhood urbanicity and depression in late adulthood. The evidence presented on the nature of this relationship is not straightforward but is broadly suggestive of a link, differing by gender, between greater urbanicity and higher levels of depressive symptoms. The life-long nature of this association may potentially inform policy agendas aimed at improving urban and suburban living conditions.

Does living in remote Australia lessen the impact of hardship on psychological distress?

AIMS

Rural and remote regions tend to be characterised by poorer socioeconomic conditions than urban areas, yet findings regarding differences in mental health between rural and urban areas have been inconsistent. This suggests that other features of these areas may reduce the impact of hardship on mental health. Little research has explored the relationship of financial hardship or deprivation with mental health across geographical areas.

METHODS

Data were analysed from a large longitudinal Australian study of the mental health of individuals living in regional and remote communities. Financial hardship was measured using items from previous Australian national population research, along with measures of psychological distress (Kessler-10), social networks/support and community characteristics/locality, including rurality/remoteness (inner regional; outer regional; remote/very remote). Multilevel logistic regression modelling was used to examine the relationship between hardship, locality and distress. Supplementary analysis was undertaken using Australian Household, Income and Labour Dynamics in Australia (HILDA) Survey data.

RESULTS

2161 respondents from the Australian Rural Mental Health Study (1879 households) completed a baseline survey with 26% from remote or very remote regions. A significant association was detected between the number of hardship items and psychological distress in regional areas. Living in a remote location was associated with a lower number of hardships, lower risk of any hardship and lower risk of reporting three of the seven individual hardship items. Increasing hardship was associated with no change in distress for those living in remote areas. Respondents from remote areas were more likely to report seeking help from welfare organisations than regional residents. Findings were confirmed with sensitivity tests, including replication with HILDA data, the use of alternative measures of socioeconomic circumstances and the application of different analytic methods.

CONCLUSIONS

Using a conventional and nationally used measure of financial hardship, people residing in the most remote regions reported fewer hardships than other rural residents. In contrast to other rural residents, and national population data, there was no association between such hardship and mental health among residents in remote areas. The findings suggest the need to reconsider the experience of financial hardship across localities and possible protective factors within remote regions that may mitigate the psychological impact of such hardship.

Mean Streets and Mental Health: Depression and Post-Traumatic Stress Disorder at Crime Hot Spots

This study explores the relationship between mental health and place at microgeographic units of analysis. We examine self-reported symptomology for depression and PTSD for 2,724 survey respondents interviewed in three types of randomly selected street segments: violent crime hot spots, cool spots, and cold spots. We find that the mean symptomology score is 61% higher for depression in violent crime hot spots than cold spots, and 85% higher for PTSD. Overall, we estimate that 14.8% of residents of violent crime hot spots meet thresholds for moderate depression or a diagnosis of PTSD. This can be compared to only 6.5% of residents at the cold spots. Using PSM and weighted negative binomial regression approaches we show that observable selection factors are not responsible for the relationships identified. Examining geographic influences, we find an important area effect of violent crime for both mental health measures, and an additional impact of the specific street of residence for PTSD.

Attempted suicide in Sri Lanka - An epidemiological study of household and community factors

BACKGROUND

An individual's suicide risk is determined by personal characteristics, but is also influenced by their environment. Previous studies indicate a role of contextual effects on suicidal behaviour, but there is a dearth of quantitative evidence from Asia.

METHODS

Individual and community level data were collected on 165,233 people from 47,919 households in 171 communities in rural Sri Lanka. Data were collected on individual (age, sex, past suicide attempts and individual socioeconomic position (SEP)) and household (household SEP, pesticide access, alcohol use and multigenerational households) level factors. We used 3-level logit models to investigate compositional (individual) and contextual (household/community) effects.

RESULTS

We found significant variation between households 21% (95% CI 18%, 24%) and communities 4% (95% CI 3%, 5%) in the risk of a suicide attempt. Contextual factors as measured by low household SEP (OR 2.37 95% CI 2.10, 2.67), low community SEP (OR 1.45 95% CI 1.21, 1.74), and community 'problem' alcohol use (OR 1.44 95% CI 1.19, 1.75) were associated with an increased risk of suicide attempt. Women living in households with alcohol misuse were at higher risk of attempted suicide. We observed a protective effect of living in multigenerational households (OR 0.53 95% CI 0.42, 0.65).

LIMITATIONS

The outcome was respondent-reported and refers to lifetime reports of attempted suicide, therefore this study might be affected by socially desirable responding.

CONCLUSIONS

Our study finds that contextual factors are associated with an individual's risk of attempted suicide in Sri Lanka, independent of an individual's personal characteristics.

Neighborhood Effects on PND Symptom Severity for Women Enrolled in a Home Visiting Program

The aim of this study was to investigate the association between postnatal depression (PND) symptoms severity and structural neighborhood characteristics among women enrolled in a home visiting program. The sample included 295 mothers who were at risk for developing PND, observed as 3-month Edinburgh Postnatal Depression Scale (EPDS) scores ≥ 10. Two neighborhood predictor components (residential stability and social disadvantage) were analyzed as predictors of PND symptom severity using a generalized estimating equation. Residential stability was negatively associated with PND symptom severity. Social disadvantage was not found to be statistically significantly. The findings suggest that residential stability is associated with a reduction in PND symptom severity for women enrolled in home visiting program.

The experience of social determinants of health within a Southern European Maltese culture

This study contributes to international research on geographies of health and wellbeing in Mediterranean cultures. The paper draws upon evidence from qualitative research in three localities in Malta, a country where previous research on this topic is quite limited. Through in-depth interviews with people from some of the most disadvantaged and socially marginalised groups in Maltese society, this research illustrates how psychosocial health and wellbeing of the inhabitants within this Mediterranean region are strongly influenced by wider social determinants, particularly the powerful dynamics of social norms involving roles of extended family, traditional attitudes towards marriage as an institution, family honour, gender roles and religious beliefs and practices. This research explores how these social determinants of health within a Maltese context are complex and contingent on personal and local socio-geographical conditions, so that while for some individuals they are beneficial for health and wellbeing, for others the effects are detrimental. The discussion considers how to interpret the 'Mediterranean model' of social determinants of health in light of the experiences of this group of inhabitants.

Rural mental health

A significant proportion of people live and work in rural areas, and rural mental health is important wherever psychiatry is practised. There are inherent difficulties in conducting rural research, due in part to the lack of an agreed definition of rurality. Mental health is probably better in rural areas, with the exception of suicide, which remains highest in male rural residents. A number of aspects of rural life (such as the rural community, social networks, problems with access, and social exclusion) may all have particular implications for people with mental health problems. Further issues such as the effect of rural culture on help-seeking for mental illness, anonymity in small rural communities and stigma may further affect the recognition, treatment and maintenance of mental health problems for people in rural areas. Providing mental health services to remote and rural locations may be challenging.

Trajectories of Neighborhood Cohesion in Childhood, and Psychotic and Depressive Symptoms at Age 13 and 18 Years

OBJECTIVE

Exposure to adverse social environments has been associated with psychotic and depressive symptoms in adolescence in cross-sectional studies, but the longitudinal relation is unclear. This study examined whether longitudinal trajectories of exposure to adverse social environments across childhood are associated with psychotic experiences and depressive symptoms in adolescence.

METHOD

Data on participants from the Avon Longitudinal Study of Parents and Children (ALSPAC) were used to estimate longitudinal trajectories of childhood exposure to neighborhood cohesion (NC), discord (ND), and stress (NS) using latent class growth modeling. Logistic regression was used to examine the association between these trajectories and psychotic experiences and depressive symptoms at 13 and 18 years of age, adjusting for maternal psychopathology, participant sociodemographic and socioeconomic characteristics, and area-level deprivation.

RESULTS

A dose-response association was observed between higher NS and the odds of psychotic experiences at 13 years (medium NS, adjusted odds ratio [aOR] 1.25, 95% CI 1.05-1.49; high NS, aOR 1.77, 95% CI 1.30-2.40), whereas high levels of ND predicted psychotic experiences at 18 years (aOR 1.50, 95% CI 1.10-2.07). High levels of NC (aOR 1.43, 95% CI 1.02-1.71) and NS (aOR 1.55, 95% CI 1.07-2.26) were associated with increased odds of high depressive symptoms at 18 years in a dose-response fashion.

CONCLUSION

Prolonged and more severe exposure to adverse social environments is associated with greater odds of developing psychotic and depressive symptoms in late adolescence.

Common mental disorder and its association with academic performance among Debre Berhan University students, Ethiopia

Background

Common mental disorder (CMD) is prevalent in industrialized and non-industrialized countries. The prevalence of CMD among university students was 28.8–44.7% and attributed to several risk factors, such as schooling. The aim of this study was to assess the prevalence and risk factors of CMD. In addition, the association between CMD and academic performance was tested.

Methods

Institution based cross-sectional study was conducted with 422 students at Debre Berhan university from March to April 2015. CMD was the primary outcome variable whereas academic performance was the secondary outcome variable. Kessler psychological distress (K10) scale was used to assess CMD. Bivariate and multiple logistic regression analysis were performed for modeling the primary outcome variable; independent samples T test and linear regression analysis were carried out for modeling the secondary outcome variable. The strength of association was interpreted using odds ratio and regression coefficient (β) and decision on statistical significance was made at a p value of 0.05. Data were entered using EPI-data version 3.1 software and analyzed using the Statistical Package for the Social Sciences (SPSS) version 20.01 software.

Results

The prevalence of CMD was 63.1%. Field of study (p = 0.008, OR = 0.2, 95% CI 0.04–0.61), worshiping (p = 0.04, OR = 1.8, 95% CI 1.02–3.35), insomnia (p < 0.001, OR = 3.8, 95% CI 2.21–6.57), alcohol drinking (p = 0.006, OR = 2.7, 95% CI 1.33–5.66), and headache (p = 0.02, OR = 2.1, 95% CI 1.10–3.86) were identified risk factors for CMD. The mean cumulative grade point average of students with CMD was lower by 0.02 compared to those without CMD, but not statistically significant (p = 0.70, β = −0.02, 95% CI −0.15 to 0.10). CMD explained only 0.8% (r² = 0.008) of the difference in academic performance between students.

Conclusions

At least three out of five students fulfilled CMD diagnostic criteria. The statistically significant risk factors were field of study, worshiping, insomnia, alcohol drinking, and headache. Moreover, there was no statistically significant association between CMD and academic performance. Undertaking integrated evidence-based intervention focusing on students with poor sleep quality, poor physical health, and who drink alcohol is essential if the present finding confirmed by a longitudinal study.

Prevalence and treatment of common mental disorders in the English national population, 1993-2007

BACKGROUND

The National Psychiatric Morbidity Surveys include English cross-sectional household samples surveyed in 1993, 2000 and 2007.

AIMS

To evaluate frequency of common mental disorders (CMDs), service contact and treatment.

METHOD

Common mental disorders were identified with the Clinical Interview Schedule - Revised (CIS-R). Service contact and treatment were established in structured interviews.

RESULTS

There were 8615, 6126 and 5385 participants aged 16-64. Prevalence of CMDs was consistent (1993: 14.3%; 2000: 16.0%; 2007: 16.0%), as was past-year primary care physician contact for psychological problems (1993: 11.3%; 2000: 12.0%; 2007: 11.7%). Antidepressant receipt in people with CMDs more than doubled between 1993 (5.7%) and 2000 (14.5%), with little further increase by 2007 (15.9%). Psychological treatments increased in successive surveys. Many with CMDs received no treatment.

CONCLUSIONS

Reduction in prevalence did not follow increased treatment uptake, and may require universal public health measures together with individual pharmacological, psychological and computer-based interventions.

Realist theory construction for a mixed method multilevel study of neighbourhood context and postnatal depression

BACKGROUND

We have recently described a protocol for a study that aims to build a theory of neighbourhood context and postnatal depression. That protocol proposed a critical realist Explanatory Theory Building Method comprising of an: (1) emergent phase, (2) construction phase, and (3) confirmatory phase. A concurrent triangulated mixed method multilevel cross-sectional study design was described. The protocol also described in detail the Theory Construction Phase which will be presented here.

METHODS

The Theory Construction Phase will include: (1) defining stratified levels; (2) analytic resolution; (3) abductive reasoning; (4) comparative analysis (triangulation); (5) retroduction; (6) postulate and proposition development; (7) comparison and assessment of theories; and (8) conceptual frameworks and model development.

THEORY CONSTRUCTION

The stratified levels of analysis in this study were predominantly social and psychological. The abductive analysis used the theoretical frames of: Stress Process; Social Isolation; Social Exclusion; Social Services; Social Capital, Acculturation Theory and Global-economic level mechanisms. Realist propositions are presented for each analysis of triangulated data. Inference to best explanation is used to assess and compare theories. A conceptual framework of maternal depression, stress and context is presented that includes examples of mechanisms at psychological, social, cultural and global-economic levels. Stress was identified as a necessary mechanism that has the tendency to cause several outcomes including depression, anxiety, and health harming behaviours. The conceptual framework subsequently included conditional mechanisms identified through the retroduction including the stressors of isolation and expectations and buffers of social support and trust.

CONCLUSION

The meta-theory of critical realism is used here to generate and construct social epidemiological theory using stratified ontology and both abductive and retroductive analysis. The findings will be applied to the development of a middle range theory and subsequent programme theory for local perinatal child and family interventions.

Effect of housing relocation and neighborhood environment on adolescent mental and behavioral health

BACKGROUND

This study examined whether relocating from a high-poverty neighborhood to a lower poverty neighborhood as part of a federal housing relocation program (HOPE VI; Housing Opportunities for People Everywhere) had effects on adolescent mental and behavioral health compared to adolescents consistently living in lower poverty neighborhoods.

METHODS

Sociodemographic, risk behavior, and neighborhood data were collected from 592 low-income, primarily African-American adolescents and their primary caregivers. Structured psychiatric interviews were conducted with adolescents. Prerelocation neighborhood, demographic, and risk behavior data were also included. Hierarchical Linear Modeling (HLM) was used to test associations between neighborhood variables and risk outcomes. HLM was used to test whether the effect of neighborhood relocation and neighborhood characteristics might explain differences in sexual risk taking, substance use, and mental health outcomes.

RESULTS

Adolescents who relocated of HOPE VI neighborhoods (n = 158) fared worse than control group participants (n = 429) on most self-reported mental health outcomes. The addition of subjective neighborhood measures generally did not substantively change these results.

CONCLUSIONS

Our findings suggest that moving from a high-poverty neighborhood to a somewhat lower poverty neighborhood is not associated with better mental health and risk behavior outcomes in adolescents. The continued effects of having grown up in a high-poverty neighborhood, the small improvements in their new neighborhoods, the comparatively short length of time they lived in their new neighborhood, and/or the stress of moving appears to worsen most of the mental health outcomes of HOPE VI compared to control group participants who consistently lived in the lower poverty neighborhoods.

'Lonesome Town'? Is Loneliness Associated with the Residential Environment, including Housing and Neighbourhood Factors?

This article considers whether feelings of loneliness are associated with aspects of the home and neighbourhood of residence. Multinominal logistic regression models were used to explore associations between residential environment and loneliness in 4,000 residents across deprived areas of Glasgow. People who rated their neighbourhood environment of higher quality, and who used more local amenities, were less likely to report loneliness. Respondents who knew more people within the local area were less likely to report loneliness. Those who reported more antisocial behaviour problems, who had a weak perception of collective efficacy, and who felt unsafe walking alone at night-time were more likely to report loneliness. Length of residence and dwelling type were not associated with reported loneliness. The findings indicate the potential importance of several dimensions of the neighbourhood physical, service and social environment, including aspects of both quality and trust, in protecting against or reducing loneliness in deprived areas.

Exploring Spatial Variability in the Relationship between Long Term Limiting Illness and Area Level Deprivation at the City Level Using Geographically Weighted Regression

Ecological influences on health outcomes are associated with the spatial stratification of health. However, the majority of studies that seek to understand these ecological influences utilise aspatial methods. Geographically weighted regression (GWR) is a spatial statistics tool that expands standard regression by allowing for spatial variance in parameters. This study contributes to the urban health literature, by employing GWR to uncover geographic variation in Limiting Long Term Illness (LLTI) and area level effects at the small area level in a relatively small, urban environment. Using GWR it was found that each of the three contextual covariates, area level deprivation scores, the percentage of the population aged 75 years plus and the percentage of residences of white ethnicity for each LSOA exhibited a non-stationary relationship with LLTI across space. Multicollinearity among the predictor variables was found not to be a problem. Within an international policy context, this research indicates that even at the city level, a "one-size fits all" policy strategy is not the most appropriate approach to address health outcomes. City "wide" health polices need to be spatially adaptive, based on the contextual characteristics of each area.

Racial/Ethnic Disparities in Depressive Symptoms Among Pregnant Women Vary by Income and Neighborhood Poverty

We examined racial/ethnic disparities in depressive symptoms during pregnancy among a population-based sample of childbearing women in California (N = 24,587). We hypothesized that these racial/ethnic disparities would be eliminated when comparing women with similar incomes and neighborhood poverty environments. Neighborhood poverty trajectory descriptions were linked with survey data measuring age, parity, race/ethnicity, marital status, education, income, and depressive symptoms. We constructed logistic regression models among the overall sample to examine both crude and adjusted racial/ethnic disparities in feeling depressed. Next, stratified adjusted logistic regression models were constructed to examine racial/ethnic disparities in feeling depressed among women of similar income levels living in similar neighborhood poverty environments. We found that racial/ethnic disparities in feeling depressed remained only among women who were not poor themselves and who lived in long-term moderate or low poverty neighborhoods.

Difficult Life Events, Selective Migration and Spatial Inequalities in Mental Health in the UK

Objective

Research has indicated that people moving towards neighbourhoods with disadvantaged socio-economic status have poor health, in particular mental health, but the reasons for this are unclear. This study aims to assess why people moving towards more socio-economically deprived areas have poor mental health. It focuses upon the role of difficult life events that may both trigger moves and damage mental health. This study investigates how mental health and socio-spatial patterns of mobility vary between people moving following difficult life events and for other reasons.

Methods

Longitudinal analysis of British Household Panel Survey data describing adults’ moves between annual survey waves, pooled over ten years, 1996-2006 (N=122,892 observations). Respondents were defined as ‘difficult life event movers’ if they had experienced relationship breakdown, housing eviction/repossession, or job loss between waves. Respondents were categorised as moving to more or less deprived quintiles using their Census Area Statistic residential ward Carstairs score. Mental health was indicated by self-reported mental health problems. Binary logistic regression models of weighted data were adjusted for age, sex, education and social class.

Results

The migration rate over one year was 8.5%; 14.1% of movers had experienced a difficult life event during this time period. Adjusted regression model odds of mental health problems among difficult life event movers were 1.67 (95% CI 1.35-2.07) relative to other movers. Odds of difficult life events movers, compared to other movers, moving to a less deprived area, relative to an area with a similar level of deprivation, were 0.70 (95% CI 0.58-0.84). Odds of mental health problems among difficult life event movers relocating to more deprived areas were highly elevated at 2.40 (95% CI 1.63-3.53), relative to stayers.

Conclusion

Difficult life events may influence health selective patterns of migration and socio-spatial trajectories, reducing moves to less deprived neighbourhoods among people with mental illness.

Realist identification of group-level latent variables for perinatal social epidemiology theory building

We have previously reported in this journal on an ecological study of perinatal depressive symptoms in South Western Sydney. In that article, we briefly reported on a factor analysis that was utilized to identify empirical indicators for analysis. In this article, we report on the mixed method approach that was used to identify those latent variables. Social epidemiology has been slow to embrace a latent variable approach to the study of social, political, economic, and cultural structures and mechanisms, partly for philosophical reasons. Critical realist ontology and epistemology have been advocated as an appropriate methodological approach to both theory building and theory testing in the health sciences. We describe here an emergent mixed method approach that uses qualitative methods to identify latent constructs followed by factor analysis using empirical indicators chosen to measure identified qualitative codes. Comparative analysis of the findings is reported together with a limited description of realist approaches to abstract reasoning.

Neighbourhood characteristics and 10-year risk of depression in Canadian adults with and without a chronic illness

The neighbourhood environment could play a role in the risk of depression in adults and those with a chronic illness. We investigated the effects of a range of neighbourhood characteristics on the 10-year risk of depression in a representative sample of 9026 Canadian adults and subsamples with a chronic condition. Characteristics of neighbourhoods were not significantly related to the risk of depression in the general sample and subsamples with a chronic condition. However, residing near a park was significantly associated with a lower risk of depression for people living in crowded households, and having a local health service nearby was protective for those living in materially deprived neighbourhoods. Living in a neighbourhood that was both socially advantaged and offered cultural services was also associated with lower risk of depression. Additional research is needed for smaller effect size detection. Future intervention research is warranted for health policy recommendations.

Bayesian hierarchical spatial regression of maternal depressive symptoms in South Western Sydney, Australia

Background

There is increasing interest in the role played by maternal depression in mediating the effects of adversity during pregnancy and poor infant outcomes. There is also increasing evidence from multilevel regression studies for an association of area-level economic deprivation and poor individual mental health. The purpose of the study reported here is to explore the spatial distribution of postnatal depressive symptoms in South Western Sydney, Australia, and to identify covariate associations that could inform subsequent multilevel studies.

Methods

Mothers (n = 15,389) delivering in 2002 and 2003 were assessed at 2–3 weeks after delivery for risk factors for depressive symptoms. The individual-level binary outcome variables were Edinburgh Depression Scale (EDS) >9 and >12. The association between social, demographic and ecological factors and aggregated outcome variables were investigated using exploratory factor analysis and multivariate hierarchical Bayesian spatial regression. Relative risks from the final EDS >12 regression model were mapped to visualise the contribution from explanatory covariates and residual components.

Results

The exploratory factor analysis identified six factors: neighbourhood adversity, social cohesion, health behaviours, housing quality, social services, and support networks. Variables associated with neighbourhood adversity, social cohesion, social networks, and ethnic diversity were consistently associated with aggregated depressive symptoms. Measures of social disadvantage, lack of social cohesion and lack of social capital were associated with increased depressive symptoms. The association with social disadvantage was not significant when controlling for ethnic diversity and social capital.

Conclusions

The findings support the theoretical proposition that neighbourhood adversity causes maternal psychological distress and depression within the context of social buffers including social networks, social cohesion, and social services. The finding have implications for the distribution of health services including early nurse home visiting which has recently been confirmed to be effective in preventing postnatal depression.

Electronic supplementary material

The online version of this article (doi:10.1186/2193-1801-3-55) contains supplementary material, which is available to authorized users.

Explaining ecological clusters of maternal depression in South Western Sydney

BACKGROUND

The aim of the qualitative study reported here was to: 1) explain the observed clustering of postnatal depressive symptoms in South Western Sydney; and 2) identify group-level mechanisms that would add to our understanding of the social determinants of maternal depression.

METHODS

Critical realism provided the methodological underpinning for the study. The setting was four local government areas in South Western Sydney, Australia. Child and Family practitioners and mothers in naturally occurring mothers groups were interviewed.

RESULTS

Using an open coding approach to maximise emergence of patterns and relationships we have identified seven theoretical concepts that might explain the observed spatial clustering of maternal depression. The theoretical concepts identified were: Community-level social networks; Social Capital and Social Cohesion; "Depressed community"; Access to services at the group level; Ethnic segregation and diversity; Supportive social policy; and Big business.

CONCLUSIONS

We postulate that these regional structural, economic, social and cultural mechanisms partially explain the pattern of maternal depression observed in families and communities within South Western Sydney. We further observe that powerful global economic and political forces are having an impact on the local situation. The challenge for policy and practice is to support mothers and their families within this adverse regional and global-economic context.

Influence of perceived and actual neighbourhood disorder on common mental illness

PURPOSE

Fear of crime and perceived neighbourhood disorder have been linked to common mental illness (CMI). However, few UK studies have also considered the experience of crime at the individual and neighbourhood level. This study aims to identify individual and local area factors associated with increased perceived neighbourhood disorder and test associations between CMI and individuals' perceptions of disorder in their neighbourhoods, personal experiences of crime and neighbourhood crime rates.

METHODS

A cross-sectional survey was conducted of 1,698 adults living in 1,075 households in Lambeth and Southwark, London. CMI was assessed using the Revised Clinical Interview Schedule. Data were analysed using multilevel logistic regression with neighbourhood defined as lower super output area.

RESULTS

Individuals who reported neighbourhood disorder were more likely to suffer CMI (OR 2.12) as were those with individual experience of crime. These effects remained significant when individual characteristics were controlled for. While 14 % of the variance in perceived neighbourhood disorder occurred at the neighbourhood level, there was no significant variance at this level for CMI.

CONCLUSIONS

Perceived neighbourhood disorder is more common in income-deprived areas and individuals who are unemployed. Worry about one's local area and individual experience of crime are strongly and independently associated with CMI, but neighbourhood crime rates do not appear to impact on mental health.

Do changes in socioeconomic factors lead to changes in mental health? Findings from three waves of a population based panel study

BACKGROUND

There has been little investigation of changes in socioeconomic measures and mental health (MH)/illness over time within individuals using methods that control for time-invariant unobserved confounders. We investigate whether changes in multiple socioeconomic measures are associated with self-reported MH using fixed effects methods to control for unobserved time-invariant confounding.

METHODS

Data from three waves of a panel study with information on MH, psychological distress, labour force status, household income, area and individual deprivation. Fixed effects regression modelling was used to explore whether changes in socioeconomic exposures were associated with changes in MH. We also compared increases and decreases in exposure with changes in MH using first difference models.

RESULTS

Respondents who moved into inactive labour force status experienced a 1.34 unit (95% CI -1.85 to -0.82) decline in SF-36 MH score and a 0.50 unit (95% CI 0.34 to 0.67) increase in psychological distress score. An increase in individual deprivation was associated with a 1.47 unit (95% CI -1.67 to -1.28) decline in MH score and a 0.57 unit (95% CI 0.51 to 0.63) increase in psychological distress. Increasing and decreasing levels of individual deprivation were associated with significant changes in both outcomes.

CONCLUSIONS

This paper suggests that moving from employment to inactivity and changes in levels of individual deprivation may be more important for short-term MH outcomes than changes in household income or area deprivation. Providing short-term social and economic support for those experiencing financial/material hardship should be considered in interventions to reduce inequalities in MH.

Associations between neighborhood characteristics and self-rated health: a cross-sectional investigation in the Multi-Ethnic Study of Atherosclerosis (MESA) cohort

Quantifying the effects of specific neighborhood features on self-reported health is important in understanding the global health impact of neighborhood context. We investigated associations of neighborhood poverty, sociability and walkability with self-rated physical and mental health in the Multi-Ethnic Study of Atherosclerosis (MESA). In separate models, each neighborhood variable was associated with physical health but associations with sociability and walkability were stronger than those for poverty. Only walkability remained significant after adjusting for the other neighborhood variables. There was no evidence that self-rated mental health as assessed by the SF12 was associated with neighborhood poverty, walkability or sociability. This study provides information on how neighborhood context is associated with global health in diverse midlife and older persons.

The multiple anxieties of getting older: tranquilizers and the ambivalence of effect

Most studies on benzodiazepines emphasize overconsumption and warn of addiction, especially by older adults. This article is about the avoidance of benzodiazepine medications by 'aging' women living in a Brazilian village. This case study helps to support our central concern: to call attention to the ambiguities that exist in discussing these medications, and to stress the importance of a multilayered understanding of effect. We argue that benzodiazepines, like other psychopharmaka, induce bodily sensations that, at least in part, correspond to and are shaped by the situated self-image of individuals in distress.

Neighborhood adversity, ethnic diversity, and weak social cohesion and social networks predict high rates of maternal depressive symptoms: a critical realist ecological study in South Western Sydney, Australia

The aim of the study reported here is to explore ecological covariate and latent variable associations with perinatal depressive symptoms in South Western Sydney for the purpose of informing subsequent theory generation of perinatal context, depression, and the developmental origins of health and disease. Mothers (n = 15,389) delivering in 2002 and 2003 were assessed at two to three weeks after delivery for risk factors for depressive symptoms. The binary outcome variables were Edinburgh Postnatal Depression Scale (EPDS)> 9 and > 12. Aggregated EPDS > 9 was analyzed for 101 suburbs. Suburb-level variables were drawn from the 2001 Australian Census, New South Wales Crime Statistics, and aggregated individual-level risk factors. Analysis included exploratory factor analysis, univariate and multivariate likelihood, and Bayesian linear regression with conditional autoregressive components. The exploratory factor analysis identified six factors: neighborhood adversity, social cohesion, health behaviors, housing quality, social services, and support networks. Variables associated with neighborhood adversity, social cohesion, social networks, and ethnic diversity were consistently associated with aggregated depressive symptoms. The findings support the theoretical proposition that neighborhood adversity causes maternal psychological distress and depression within the context of social buffers including social networks, social cohesion, and social services.

Do local unemployment rates modify the effect of individual labour market status on psychological distress?

This study investigates whether the unemployment rate of the area in which an individual lives affects their level of psychological distress, and the extent to which this is dependent on their own labour market status. Data were taken from the British Household Panel Survey (1991-2008) and longitudinal multiple membership multilevel modelling was carried out in order to account for the complex hierarchical structure of the data. The results suggest that living in an area with a high unemployment rate, defined by the claimant count, confers a degree of protection against the negative psychological effects of unemployment. However, psychological distress levels among unemployed people were still significantly and substantially higher than among their securely employed counterparts.

Common mental disorders, neighbourhood income inequality and income deprivation: small-area multilevel analysis

BACKGROUND

Common mental disorders are more prevalent in areas of high neighbourhood socioeconomic deprivation but whether the prevalence varies with neighbourhood income inequality is not known.

AIMS

To investigate the hypothesis that the interaction between small-area income deprivation and income inequality was associated with individual mental health.

METHOD

Multilevel analysis of population data from the Welsh Health Survey, 2003/04-2010. A total of 88,623 respondents aged 18-74 years were nested within 50,587 households within 1887 lower super output areas (neighbourhoods) and 22 unitary authorities (regions), linked to the Gini coefficient (income inequality) and the per cent of households living in poverty (income deprivation). Mental health was measured using the Mental Health Inventory MHI-5 as a discrete variable and as a 'case' of common mental disorder.

RESULTS

High neighbourhood income inequality was associated with better mental health in low-deprivation neighbourhoods after adjusting for individual and household risk factors (parameter estimate +0.70 (s.e. = 0.33), P = 0.036; odds ratio (OR) for common mental disorder case 0.92, 95% CI 0.88-0.97). Income inequality at regional level was significantly associated with poorer mental health (parameter estimate -1.35 (s.e. = 0.54), P = 0.012; OR = 1.13, 95% CI 1.04-1.22).

CONCLUSIONS

The associations between common mental disorders, income inequality and income deprivation are complex. Income inequality at neighbourhood level is less important than income deprivation as a risk factor for common mental disorders. The adverse effect of income inequality starts to operate at the larger regional level.

Country- and individual-level socioeconomic determinants of depression: multilevel cross-national comparison

BACKGROUND

The prevalence and correlates of depression vary across countries. Contextual factors such as country-level income or income inequalities have been hypothesised to contribute to these differences.

AIMS

To investigate associations of depression with socioeconomic factors at the country level (income inequality, gross national income) and individual (education, employment, assets and spending) level, and to investigate their relative contribution in explaining the cross-national variation in the prevalence of depression.

METHOD

Multilevel study using interview data of 187 496 individuals from 53 countries participating in the World Health Organization World Health Surveys.

RESULTS

Depression prevalence varied between 0.4 and 15.7% across countries. Individual-level factors were responsible for 86.5% of this variance but there was also reasonable variation at the country level (13.5%), which appeared to increase with decreasing economic development of countries. Gross national income or country-level income inequality had no association with depression. At the individual level, fewer material assets, lower education, female gender, economic inactivity and being divorced or widowed were associated with increased odds of depression. Greater household spending, unlike material assets, was associated with increasing odds of depression (adjusted analysis).

CONCLUSIONS

The variance of depression prevalence attributable to country-level factors seemed to increase with decreasing economic development of countries. However, country-level income inequality or gross national income explained little of this variation, and individual-level factors appeared more important than contextual factors as determinants of depression. The divergent relationship of assets and spending with depression emphasise that different socioeconomic measures are not interchangeable in their associations with depression.

Urban-rural differences in the nature and prevalence of mental ill-health in adults with intellectual disabilities

BACKGROUND

In the general population there are statistically significant urban-rural differences in the rate of common mental disorders. In people with intellectual disability (ID) no study has attempted to address this issue.

AIMS

To compare the prevalence of mental illness, autism spectrum disorder (ASD) and behaviour disorder in people with ID living in urban areas with those living in rural areas.

METHODS

Cross-sectional study of 2713 individuals registered with an ID service. Participants were assigned to urban or rural groups using the Department for Environment Food and Rural Affairs rural/urban local authority classification for their district. The main outcome variable was a clinical diagnosis of mental illness, ASD and behaviour disorder. Differences between diagnoses of mental illness in urban and rural areas were evaluated using the chi-squared test for the difference in two independent proportions.

RESULTS

No differences were observed between gender, age and level of ID of service users based on their place of residence. But more people from an ethnic minority background were living in urban areas than rural areas. No differences were observed in the overall prevalence of mental illness by place of residence. However, the results showed that ASD was more common in people living in rural areas.

CONCLUSIONS

We found these results surprising and at odds with the majority of studies carried out in the general population and propose several reasons for the differences found. We believe that the results and further studies in this area will help inform health service provision for those with ID who live in different geographical areas.

WHAT IS A "NEIGHBORHOOD"? DEFINITION IN STUDIES ABOUT DEPRESSIVE SYMPTOMS IN OLDER PERSONS

The almost irrefutable hypothesis that place matters continues to grow in popularity. Epidemiological and public health researchers are studying social and physical environment's effect on individual health outcomes. Advances in the field are hindered by the lack of consistency in measuring and labeling social contexts. Greater definitional precision is required. In order to give an example of this, "neighborhood" studies between 2000 and 2012 dealing with depression symptomatology in older adults were identified with an exhaustive search. Only those where the terms neighborhood, and mental health, or mental well-being, or CES-D appear were included for the initial review. After additionally selecting for age and the presence of the Center for Epidemiologic Studies Depression (CES-D) measure, from an initial 98 articles, we end up with 11 articles. We focus on how neighborhoods are defined and briefly highlight findings on CES-D. For the most part, the definition of neighborhood is limited, frequently justified, and typically hidden in the methodological details and closing arguments of an article. In general, articles evade the discussion of polygon appropriateness with relation to the term neighborhood. Our review suggests that a good starting point for advancing this field of inquiry would be to increase the definitional precision of the term neighborhood and to offer an upfront disclosure with more appropriate terminology. Doing so may lead place-effect investigations in population aging and frailty down a more productive road.

Generating small-area prevalence of psychological distress and alcohol consumption: validation of a spatial microsimulation method

PURPOSE

Public mental health surveillance data are rarely available at a fine geographic scale. This study applies a spatial microsimulation procedure to generate small-area (lower super outputs areas [LSOA]) estimates of psychological distress and alcohol consumption. The validity of LSOA estimates and their associations with proximal and broader socioeconomic conditions are examined.

METHODS

A deterministic reweighting methodology assigns prevalence estimates for psychological distress and heavy alcohol consumption through a process of matching individuals from a large, population-representative dataset (Health Survey for England) to known LSOA populations (from the 2001 population Census). 'goodness-of-fit' of LSOA estimates is assessed by their comparison to observed prevalence of these health indicators at higher levels of aggregation (local authority districts [LAD]). Population prevalence estimates are correlated to the mental health needs index (MINI) and other health indicators; ordered logistic regression is applied to investigate their associations with proximal and broader socioeconomic conditions.

RESULTS

Performance of microsimulation models is high with no more than 10% errors in at least 90% of LAD for psychological distress and moderate and heavy alcohol consumption. The MINI is strongly correlated with psychological distress (r = 0.910; p value < 0.001) and moderately with heavy drinking (r = 0.389; p value < 0.001). Psychological distress and heavy alcohol consumption are differently associated with socioeconomic and rurality indicators at the LSOA level. Associations further vary at the LAD level and regional variations are apparent.

CONCLUSION

Spatial microsimulation may be an appropriate methodological approach for replicating social and demographic health patterns at the local level.

Childhood consumption of fruit and vegetables across England: a study of 2306 6-7-year-olds in 2007

The School Fruit and Vegetable Scheme (SFVS) provides children in government-run schools in England with a free piece of fruit or a vegetable each school day for the first 3 years of school. The present study examines the impact of the SFVS, in terms of its contribution towards the total daily intake of fruit and vegetables by children across England. Quantitative dietary data were collected from 2306 children in their third year of school, from 128 schools, using a 24 h food diary. The data were examined at different spatial scales, and variations in the impact of the scheme across areas with different socio-economic characteristics were analysed using a deprivation index and a geodemographic classification. The uptake of the SFVS and the total intake of fruit and vegetables by children varied across different parts of England. Participation in the SFVS was positively associated with fruit and vegetable consumption. That is, in any one area, those children who participated in the SFVS consumed more fruit and vegetables. However, children living in deprived areas still consumed less fruit and vegetables than children living in more advantaged areas: the mean daily frequency of fruit and vegetables consumed, and rates of consumption of fruit or vegetables five times or more per d, decreased as deprivation increased (r -0.860; P = 0.001; r -0.842; P = 0.002). So the SFVS does not eliminate the socio-economic gradient in fruit and vegetable consumption, but it does help to increase fruit and vegetable consumption in deprived (and affluent) areas.

Neighborhood characteristics and mental health: the relevance for mothers of infants in deprived English neighborhoods

PURPOSE

Neighborhood features have been linked with adult mental-health problems, particularly depression. A recent comprehensive review indicated structural neighborhood features derived from data sources such as the census may be less important predictors of mental health problems than social processes but that most studies lack multiple neighborhood measures. The aim of the study is to investigate relations between multiple neighborhood factors (observations, interviewer ratings, UK Census data) and maternal mental-health problems.

METHODS

14,700 mothers with 9-month-old infants living in 195 deprived neighborhoods in England were interviewed, neighborhoods were observed and census data on employment, ethnic background and housing tenancy utilized.

RESULTS

Lower (interviewer-rated) neighborhood quality and lower neighborhood prosperity predicted more mother-reported mental-health problems net of family-level predictors. Contrary to expectations detailed observations did not contribute additionally.

CONCLUSIONS

Neighborhood conditions, though not as important as family factors and maternal characteristics, are sufficiently important to consider when planning mental health services; they can be assessed at relatively low cost by census data or professionals' ratings.

The role of daily mobility in mental health inequalities: the interactive influence of activity space and neighbourhood of residence on depression

The literature reports an association between neighbourhood deprivation and individual depression after adjustment for individual factors. The present paper investigates whether vulnerability to neighbourhood features is influenced by individual "activity space" (i.e., the space within which people move about or travel in the course of their daily activities). It can be assumed that a deprived residential environment can exert a stronger influence on the mental health of people whose activity space is limited to their neighbourhood of residence, since their exposure to their neighbourhood would be greater. Moreover, we studied the relationship between activity space size and depression. A limited activity space could indeed reflect spatial and social confinement and thus be associated with a higher risk of being depressed, or, conversely, it could be linked to a deep attachment to the neighbourhood of residence and thus be associated with a lower risk of being depressed. Multilevel logistic regression analyses of a representative sample consisting of 3011 inhabitants surveyed in 2005 in the Paris, France metropolitan area and nested within 50 census blocks showed, after adjusting for individual-level variables, that people living in deprived neighbourhoods were significantly more depressed that those living in more advantaged neighbourhoods. We also observed a statistically significant cross-level interaction between activity space and neighbourhood deprivation, as they relate to depression. Living in a deprived neighbourhood had a stronger and statistically significant effect on depression in people whose activity space was limited to their neighbourhood than in those whose daily travels extended beyond it. In addition, a limited activity space appeared to be a protective factor with regard to depression for people living in advantaged neighbourhoods and a risk factor for those living in deprived neighbourhoods. It could therefore be useful to take activity space into consideration more often when studying the social and spatial determinants of depression.

Disentangling associations between poverty at various levels of aggregation and mental health

The present editorial discusses whether socioeconomic status of the individual and of the neighbourhood could be important in prevalence, treatment and prevention of psychiatric morbidity. Previous research showed that patients diagnosed with mental disorders are concentrated in socioeconomically disadvantaged areas. This could be the result of (1) an association between individual socioeconomic status and mental health, (2) an association between neighbourhood socioeconomic status and mental health, or (3) social selection. Research disentangling associations between individual and neighbourhood socioeconomic status on the one hand and mental health outcomes on the other, reported that neighbourhood socioeconomic disadvantage was associated with individual mental health over and above individual-level socioeconomic status, indicating deleterious effects for all inhabitants both poor and affluent. In conclusion, subjective mental health outcomes showed stronger evidence for an effect of neighbourhood socioeconomic status than research focussing on treated incidence. Within the group of patients, however, service use was higher in patients living in disadvantaged neighbourhoods. Social capital was identified as one of the mechanisms whereby neighbourhood socioeconomic disadvantage may become associated with observed reductions in mental health. After controlling for individual socioeconomic status, there is evidence for an association between neighbourhood socioeconomic status and objective as well as subjective mental health in adults. Evidence for such an association in young children is even stronger.

Is neighborhood racial/ethnic composition associated with depressive symptoms? The multi-ethnic study of atherosclerosis

The racial/ethnic composition of a neighborhood may be related to residents' depressive symptoms through differential levels of neighborhood social support and/or stressors. We used the Multi-Ethnic Study of Atherosclerosis to investigate cross-sectional associations of neighborhood racial/ethnic composition with the Center for Epidemiologic Studies-Depression (CES-D) scale in adults aged 45-84. The key exposure was a census-derived measure of the percentage of residents of the same racial/ethnic background in each participant's census tract. Two-level multilevel models were used to estimate associations of neighborhood racial/ethnic composition with CES-D scores after controlling for age, income, marital status, education and nativity. We found that living in a neighborhood with a higher percentage of residents of the same race/ethnicity was associated with increased CES-D scores in African American men (p < 0.05), and decreased CES-D scores in Hispanic men and women and Chinese women, although these differences were not statistically significant. Models were further adjusted for neighborhood-level covariates (social cohesion, safety, problems, aesthetic quality and socioeconomic factors) derived from survey responses and census data. Adjusting for other neighborhood characteristics strengthened protective associations amongst Hispanics, but did not change the significant associations in African American men. These results demonstrate heterogeneity in the associations of race/ethnic composition with mental health and the need for further exploration of which aspects of neighborhood environments may contribute to these associations.

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.

Socio-geographic mobility and health status: a longitudinal analysis using the National Population Health Survey of Canada

The paper reviews arguments that associations between small area socio-economic conditions and individual health are likely to vary according to the type of health condition considered. We comment on the importance of longitudinal research to examine how far area conditions predict later health outcomes, and also how far area variations in health may result from selective migration processes predicted by health status. Using data for 1996 and 2002, from the National Population Health Survey of Canada, linked to small area data on social and on material deprivation in the area of residence for 6950 survey respondents at the two time points, we report on analyses to address these questions. The area measures of material and social deprivation were previously developed by Pampalon and colleagues at the Institut National de Santé Publique de Québec and related to the dissemination area matching the informant's postal code. The health outcomes considered were restriction of activity due to chronic conditions and psychological distress. Our findings suggest that individuals living in materially deprived areas in 2002 were more likely to be affected by health conditions resulting in restriction of activity. Prevalence of psychological distress was higher in areas with greater social deprivation in 2002. Most of these area differences were attenuated when adjustment was made for individual socio-demographic characteristics. Measures recorded in 1996 of individual characteristics and measures of deprivation for area of residence were used to predict change in health outcomes by 2002. Several individual factors (sex, age group, income, household composition) in 1996 were predictive of later health outcomes. After controlling for these individual characteristics the only significant association between health change and area deprivation was with development of restricted activity, which was more common among people who, in 1996, had lived in areas that ranked moderately high on material deprivation. We also report some evidence for selective migration effects, though these mainly seem to operate indirectly via socio-economic characteristics that predict both health outcomes and differential migration patterns. The clearest evidence on this point is for those in with psychological distress in 1996, who were particularly likely to move to an area which was more socially or materially deprived by 2002. This supports the idea that area differences in psychological distress are partly the result of selective migration effects.

Mental health in a gendered context: Gendered community effect on depression and problem drinking

Socio-economic features of a community influence people's health. However, not all inhabitants are affected similarly. The present study explores gendered contextual effects on problem drinking and depression with the differential exposure, vulnerability and expression hypotheses of the social stress model in mind. Analyses are based on the pooled data of the Belgian Health Interview Survey 2001 and 2004 (N=21.367 respondents, N=589 municipalities). Results reveal that living in an area with high unemployment is more detrimental for women in terms of depression, but has the same impact on men and women when problem drinking is the outcome.

Rural-urban comparison of contextual associations with self-reported mental health status

Ample evidence documents the association between individual-level risk factors and mental health status; relatively less is known about associations between features of the context in which individuals live and their mental health. The objective of this study is to assess differences in associations between contextual characteristics of both rural and urban settings and mental health status measured by the mental health component of the SF-12. Using state-representative data, we observed significant rural/urban differences in the association of mental health status with availability of health care resources but no significant associations in other contextual domains. Lack of overlap in contextual associations suggests that contextual influence operates differently in rural and urban settings and that interventions to improve mental health may not translate across settings.