Living near coasts is associated with higher suicide rates among females but not males: A register-based linkage study in the Netherlands.

Exposure to blue spaces may promote psychological wellbeing and reduce mental distress. Whether these effects extend to suicide is unknown. We used register data from 14 million Dutch adults aged 18-64-years between 2007 and 2016 in a nested case-control study to estimate associations between blue space exposures and suicide risk. Each suicide case was matched to ten randomly selected controls. Two blue space exposures were assigned over a ten-year residential address history: distance to the closest inland blue space and distance to the coast. We fitted (gender-stratified) conditional logistic regressions to the data. Possible effect modifications by income were also examined. In total, our analyses included 9757 cases and 95,641 controls. Effect estimates for distance to the closest inland blue space in the total population showed that people living farthest away from inland blue space were at-risk. Suicide risk was lower among women who lived farther away from the coast; no significant effect was observed for men. No evidence was observed that income modified these associations. Our findings provide suggestive evidence that living close to the coast is associated with greater suicide risk for women, while living closer to inland blue spaces may add to the resilience against suicide in the total population. Past research shows that coastal proximity protects against milder forms of mental illness, but these protective effects do not appear to hold for suicide. Blue space interventions for women with severe mental illness or propensities to engage in self-harm should be approached with caution.

Longitudinal effects of physical and social neighbourhood change on suicide mortality: A full population cohort study among movers and non-movers in the Netherlands.

Associations between the residential neighbourhood environment and suicide mortality are well-established; however, most evidence is cross-sectional and not capable of incorporating place-based and residential moving-related neighbourhood changes. We studied how suicide mortality is associated with changes in the physical and social neighbourhood environment for movers and non-movers. Our retrospective analysis was based on longitudinal register data for the entire Dutch population aged 25-64 years enriched with annually time-varying data on the residential neighbourhood environment between 2007 and 2016. A total of 8,741,021 people were followed-up between 2007 and 2016 of which 10,019 committed suicide. Upward and downward neighbourhood change was measured by comparing neighbourhood conditions separately at two time points. Cox proportional hazard models indicated that movers had a significantly lower risk of suicide compared to non-movers. Suicide risk was lower for people experiencing improvements in social fragmentation and deprivation compared to those remaining in poor conditions. Change from rural to urban conditions also resulted in lower suicide risk, while a gain in green space put people at increased risk. For those stable neighbourhood conditions over time, suicide mortality was lower for men and women in urban vs. rural neighbourhoods as well as for women in neighbourhoods with low vs. high social fragmentation. Stable exposure to high levels of green space resulted in higher suicide risk among women. Interactions and stratification by moving type revealed associations between neighbourhood change and suicide were more pronounced in non-movers. Our findings suggest that neighbourhood improvements might contribute to a lower suicide risk, especially for long-term residents in poor neighbourhood conditions.

Longitudinal exposure assessments of neighbourhood effects in health research: What can be learned from people's residential histories?

Health research into neighbourhood effects has generally examined neighbourhoods cross-sectionally, ignoring the fact that neighbourhood exposures might accumulate over people's lives and affect health outcomes later in life. Using longitudinal Dutch register data with complete 15-year residential address histories, we examined whether health effects of neighbourhood socioeconomic characteristics differ between cumulative and current exposures. We illustrated these differences between exposure assessments using suicide mortality among middle-aged adults. All suicides aged 40-64 years between 2012 and 2016 were matched with 10 random controls in a nested case-control design. We measured neighbourhood exposures longitudinally for circular buffers around residential addresses at the current address and through three accumulative measures, each incorporating the residential address history with increasing detail. Covariate-adjusted conditional logistic regressions were used to assess associations between suicide and neighbourhood social fragmentation, population density and unemployment rate. Our results showed that total and male suicide mortality was significantly lower in highly fragmented neighbourhoods when using accumulative exposures, but not when using the current residential address. However, we observed few differences in coefficients between exposures assessments for neighbourhood urbanicity and unemployment rate. None of the neighbourhood characteristics showed evidence that detailed cumulative exposures were a stronger predictor of suicide compared to more crude measures. Our findings provide little evidence that socioeconomic neighbourhood characteristics measured cumulatively along people's residential histories are stronger predictors of suicide mortality than cross-sectional exposures.

Greenery exposure and suicide mortality later in life: A longitudinal register-based case-control study.

BACKGROUND: Exposure to residential greenery accumulates over people's lifetimes, and possibly has a protective association with suicide later in life. OBJECTIVES: To examine the associations between suicide mortality and long-term residential greenery exposure in male and female adults. METHODS: Our population-based nested case-control study used longitudinally georeferenced Dutch register data. Suicide cases aged 18-64 years between 2007 and 2016 were matched by gender, age, and date of suicide to 10 random controls. We measured long-term greenery exposure along people's 10-year residential address histories through longitudinal normalized difference vegetation indices (NDVI) from Landsat satellite imagery between 1997 and 2016. We assigned accumulated greenery exposures, weighted by people's exposure duration, within 300, 600, and 1,000 m concentric buffers around home addresses. To assess associations between suicide and greenery, we estimated gender-specific conditional logistic regressions without and with adjustment for individual-level and area-level confounders. Stratified models were fitted for areas with a high/low level of urbanicity and movers/non-movers. RESULTS: Our study population consisted of 9,757 suicide cases and 95,641 controls. In our models adjusted for age, gender, and date of suicide, the odds ratios decreased significantly with higher quartiles of accumulated NDVI scores. NDVI associations were attenuated and did not remain significant after adjustment for socioeconomics, urbanicity, air pollution, social fragmentation, etc. for either males or females. For females, but not males, our model with 300 m buffers for areas with a low level of urbanicity showed a significant suicide risk reduction with increasing levels of NDVI. Individual risk factors (e.g., lack of labor market participation) outweighed the contribution of greenery. CONCLUSION: We found limited evidence that long-term greenery exposure over people's lifetimes contributes to resilience against suicide mortality. Ensuring exposure to greenery may contribute to suicide prevention for specific population groups, but the effectiveness of such exposure should not be overstated.

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

BACKGROUND: Neighbourhood social fragmentation and socioeconomic deprivation seem to be associated with suicide mortality. However, results are inconclusive, which might be because dynamics in the social context are not well-represented by administratively bounded neighbourhoods at baseline. We used individualised neighbourhoods to examine associations between suicide mortality, social fragmentation, and deprivation for the total population as well as by sex and age group. METHODS: Using a nested case-control design, all suicides aged 18-64 years between 2007 and 2016 were selected from longitudinal Dutch register data and matched with 10 random controls. Indices for social fragmentation and deprivation were calculated annually for 300, 600 and 1000 metre circular buffers around each subject's residential address. RESULTS: Suicide mortality was significantly higher in neighbourhoods with high deprivation and social fragmentation. Accounting for individual characteristics largely attenuated these associations. Suicide mortality remained significantly higher for women living in highly fragmented neighbourhoods in the fully adjusted model. Age-stratified analyses indicate associations with neighbourhood fragmentation among women in older age groups (40-64 years) only. Among men, suicide risk was lower in fragmented neighbourhoods for those aged 18-39 years and for short-term residents. In deprived neighbourhoods, suicide risk was lower for men aged 40-64 years and long-term residents. Associations between neighbourhood characteristics and suicide mortality were comparable across buffer sizes. CONCLUSION: Our findings suggest that next to individual characteristics, the social and economic context within which people live may both enhance and buffer the risk of suicide.

The effect of short-term exposure to the natural environment on depressive mood: A systematic review and meta-analysis.

BACKGROUND: Research suggests that exposure to the natural environment can improve mood, however, current reviews are limited in scope and there is little understanding of moderators. OBJECTIVE: To conduct a comprehensive systematic review and meta-analysis of the evidence for the effect of short-term exposure to the natural environment on depressive mood. METHODS: Five databases were systematically searched for relevant studies published up to March 2018. Risk of bias was evaluated using the Cochrane Risk of Bias (ROB) tool 1.0 and the Risk of Bias in Non-Randomised Studies of Interventions (ROBINS-I) tool where appropriate. The Grades of Recommendation, Assessment, Development, and Evaluation (GRADE) approach was used to assess the quality of evidence overall. A random-effects meta-analysis was performed. 20 potential moderators of the effect size were coded and the machine learning-based MetaForest algorithm was used to identify relevant moderators. These were then entered into a meta-regression. RESULTS: 33 studies met the inclusion criteria. Effect sizes ranged from -2.30 to 0.84, with an unweighted mean effect size of Mg=-0.29,SD=0.60. However, there was significant residual heterogeneity between studies and risk of bias was high. Type of natural environment, type of built environment, gender mix of the sample, and region of study origin, among others, were identified as relevant moderators but were not significant when entered in a meta-regression. The quality of evidence was rated very low to low. An assessment of publication bias was inconclusive. CONCLUSIONS: A small effect was found for reduction in depressive mood following exposure to the natural environment. However, the high risk of bias and low quality of studies limits confidence in the results. The variation in effect size also remains largely unexplained. It is recommended that future studies make use of reporting guidelines and aim to reduce the potential for bias where possible.

More green space is related to less antidepressant prescription rates in the Netherlands: A Bayesian geoadditive quantile regression approach.

BACKGROUND: Exposure to green space seems to be beneficial for self-reported mental health. In this study we used an objective health indicator, namely antidepressant prescription rates. Current studies rely exclusively upon mean regression models assuming linear associations. It is, however, plausible that the presence of green space is non-linearly related with different quantiles of the outcome antidepressant prescription rates. These restrictions may contribute to inconsistent findings. OBJECTIVE: Our aim was: a) to assess antidepressant prescription rates in relation to green space, and b) to analyze how the relationship varies non-linearly across different quantiles of antidepressant prescription rates. METHODS: We used cross-sectional data for the year 2014 at a municipality level in the Netherlands. Ecological Bayesian geoadditive quantile regressions were fitted for the 15%, 50%, and 85% quantiles to estimate green space-prescription rate correlations, controlling for physical activity levels, socio-demographics, urbanicity, etc. RESULTS: The results suggested that green space was overall inversely and non-linearly associated with antidepressant prescription rates. More important, the associations differed across the quantiles, although the variation was modest. Significant non-linearities were apparent: The associations were slightly positive in the lower quantile and strongly negative in the upper one. CONCLUSION: Our findings imply that an increased availability of green space within a municipality may contribute to a reduction in the number of antidepressant prescriptions dispensed. Green space is thus a central health and community asset, whilst a minimum level of 28% needs to be established for health gains. The highest effectiveness occurred at a municipality surface percentage higher than 79%. This inverse dose-dependent relation has important implications for setting future community-level health and planning policies.

Employment status and mortality in the context of high and low regional unemployment levels in Belgium (2001-2011): A test of the social norm hypothesis across educational levels.

Because of compositional effects (more highly educated unemployed) and differences in the vulnerability towards the health consequences of unemployment (i.e. disappointment paradox hypothesis and/or status inconsistency for highly educated unemployed), it is argued that indicators of educational attainment need to be included when investigating the social norm of unemployment. Data from the 2001 census linked to register data from 2001-2011 are used, selecting all Belgian employed and unemployed between 30 and 59-year-old at time of the census. Poisson multilevel modelling was used to account for clustering of respondents within sub-districts. For individuals with low education levels, the relative difference in mortality rate ratios between the unemployed and employed is smallest in those regions where aggregate unemployment levels are high. For highly educated, this social norm effect was not found. This study suggest that the social norm effect is stronger for workers with low education levels, while highly educated workers suffer from disappointment and status inconsistency.

Socioeconomic position, population density and site-specific cancer mortality: A multilevel analysis of Belgian adults, 2001-2011.

Our study explores the association between individual and neighborhood socioeconomic position (SEP) and all-cancer and site-specific cancer mortality. Data on all Belgian residents are retrieved from a population-based dataset constructed from the 2001 census linked to register data on emigration and mortality for 2001-2011. The study population contains all men and women aged 40 years or older during follow-up. Individual SEP is measured using education, employment status and housing conditions. Neighborhood SEP is measured by a deprivation index (in quintiles). Directly age-standardized mortality rates and multilevel Poisson models are used to estimate the association between individual SEP and neighborhood deprivation and mortality from all-cancer and cancer of the lung, colon and rectum, pancreas, prostate and female breast. The potential confounding role of population density is assessed using multilevel models as well. Our findings show an increase in mortality from all-cancer and site-specific cancer by decreasing level of individual SEP for both men and women. In addition, individuals living in highly deprived neighborhoods experience significantly higher mortality from all-cancer, lung cancer, pancreatic cancer and female colorectal cancer after controlling for individual SEP. Male colorectal and prostate cancer and female breast cancer are not associated with neighborhood deprivation. Population density acts as a confounder for female lung cancer only. Our study indicates that deprivation at both the individual and neighborhood level is associated with all-cancer mortality and mortality from several cancer sites. More research into the role of life-style related and clinical factors is necessary to gain more insight into causal pathway.

Site-specific cancer mortality inequalities by employment and occupational groups: a cohort study among Belgian adults, 2001-2011.

OBJECTIVE: This study probes into site-specific cancer mortality inequalities by employment and occupational group among Belgians, adjusted for other indicators of socioeconomic (SE) position. DESIGN: This cohort study is based on record linkage between the Belgian censuses of 1991 and 2001 and register data on emigration and mortality for 01/10/2001 to 31/12/2011. SETTING: Belgium. PARTICIPANTS: The study population contains all Belgians within the economically active age (25-65 years) at the census of 1991. OUTCOME MEASURES: Both absolute and relative measures were calculated. First, age-standardised mortality rates have been calculated, directly standardised to the Belgian population. Second, mortality rate ratios were calculated using Poisson's regression, adjusted for education, housing conditions, attained age, region and migrant background. RESULTS: This study highlights inequalities in site-specific cancer mortality, both related to being employed or not and to the occupational group of the employed population. Unemployed men and women show consistently higher overall and site-specific cancer mortality compared with the employed group. Also within the employed group, inequalities are observed by occupational group. Generally manual workers and service and sales workers have higher site-specific cancer mortality rates compared with white-collar workers and agricultural and fishery workers. These inequalities are manifest for almost all preventable cancer sites, especially those cancer sites related to alcohol and smoking such as cancers of the lung, oesophagus and head and neck. Overall, occupational inequalities were less pronounced among women compared with men. CONCLUSIONS: Important SE inequalities in site-specific cancer mortality were observed by employment and occupational group. Ensuring financial security for the unemployed is a key issue in this regard. Future studies could also take a look at other working regimes, for instance temporary employment or part-time employment and their relation to health.

Evolution of socioeconomic inequalities in site-specific cancer mortality among Belgian women between 1991 and 2008 using a fundamental cause approach.

PURPOSE: According to the "fundamental cause theory", emerging knowledge on health-enhancing behaviours and technologies results in persisting and even widening health disparities, favouring the higher socioeconomic groups. This study aims to assess (trends in) socioeconomic inequalities in site-specific cancer mortality in Belgian women. METHODS: Data were derived from record linkage between the Belgian census and register data on mortality for 1991-1997 and 2001-2008 for all Belgian female inhabitants aged 50-79 years. Both absolute and relative inequalities by education and housing conditions were calculated. RESULTS: The results revealed persisting socioeconomic inequalities in total and site-specific cancer mortality. As expected, these inequalities were larger for the more preventable cancer sites. Generally, socioeconomic inequalities remained quite stable between the 1990s and the 2000s, although for some preventable cancer sites (e.g., uterus and oesophagus) a significant increase in inequality was observed. CONCLUSIONS: These persisting socioeconomic inequalities are likely due to differences in exposure to risk factors and unhealthy behaviours, and access and utilization of healthcare across the social strata. Since equality in health should be a priority for a fair public health policy, efforts to reduce inequalities in risk behaviours and access and use of health care should remain high on the agenda.

Evolution of educational inequalities in site-specific cancer mortality among Belgian men between the 1990s and 2000s using a "fundamental cause" perspective.

BACKGROUND: According to the "fundamental cause" theory, emerging knowledge on health-enhancing behaviours and technologies results in health disparities. This study aims to assess (trends in) educational inequalities in site-specific cancer mortality in Belgian men in the 1990s and the 2000s using this framework. METHODS: Data were derived from record linkage between the Belgian censuses of 1991 and 2001 and register data on mortality. The study population comprised all Belgian men aged 50-79 years during follow-up. Both absolute and relative inequality measures have been calculated. RESULTS: Despite an overall downward trend in cancer mortality, educational differences are observed for the majority of cancer sites in the 2000s. Generally, inequalities are largest for mortality from preventable cancers. Trends over time in inequalities are rather stable compared with the 1990s. CONCLUSIONS: Educational differences in site-specific cancer mortality persist in the 2000s in Belgium, mainly for cancers related to behavioural change and medical interventions. Policy efforts focussing on behavioural change and healthcare utilization remain crucial in order to tackle these increasing inequalities.

A cohort study into head and neck cancer mortality in Belgium (2001-11): Are individual socioeconomic differences conditional on area deprivation?

OBJECTIVE: The aim of this study is to assess to what extent individual and area-level socioeconomic position (SEP) are associated to head and neck cancer (HNC) mortality and to what extent they contribute to regional variation in HNC mortality in Belgium. MATERIALS AND METHODS: Data on men aged 40-64 are collected from a population based dataset based on the 2001 Belgian census linked to register data on emigration and mortality for 2001-2011. Individual SEP is measured using education, employment status and housing conditions. Deprivation at municipal level is measured by a deprivation index. Absolute mortality differences are estimated by age standardised mortality rates. Multilevel Poisson models are used to estimate the association and interaction between HNC mortality and individual and area-level SEP, and to estimate the regional variation in HNC mortality. RESULTS: HNC mortality rates are significantly higher for men with a low SEP and men living in deprived areas. Cross-level interactions indicate that the association between individual SEP and HNC mortality is conditional on area deprivation. HNC mortality in deprived areas is especially high among high-SEP men. As a result, social disparities appear to be smaller in more deprived areas. Regional variation in HNC mortality was significant. Population composition partially explains this regional variation, while area deprivation and cross-level interactions explains little. CONCLUSION: Both individual and area-level deprivation are important determinants of HNC mortality. Underlying trends in incidence and survival, and risk factors, such as alcohol and tobacco use, should be explored further.

Socioeconomic disparities in lung cancer mortality in Belgian men and women (2001-2011): does it matter who you live with?

BACKGROUND: Ample studies have observed an adverse association between individual socioeconomic position (SEP) and lung cancer mortality. Moreover, the presence of a partner has shown to be a crucial determinant of health. Yet, few studies have assessed whether partner's SEP affects health in addition to individual SEP. This paper will study whether own SEP (education), partner's SEP (partner's education) and own and partner's SEP combined (housing conditions), are associated with lung cancer mortality in Belgium. METHODS: Data consist of the Belgian 2001 census linked to register data on cause-specific mortality for 2001-2011. The study population includes all married or cohabiting Belgian inhabitants aged 40-84 years. Age-standardized lung cancer mortality rates (direct standardization) and mortality rate ratios (Poisson regression) were computed for the different SEP groups. RESULTS: In men, we observed a clear inverse association between all SEP indicators (own and partner's education, and housing conditions) and lung cancer mortality. Men benefit from having a higher educated partner in terms of lower lung cancer mortality rates. These observations hold for both middle-aged and older men. For women, the picture is less uniform. In middle-aged and older women, housing conditions is inversely associated with lung cancer mortality. As for partner's education, for middle-aged women, the association is rather weak whereas for older women, there is no such association. Whereas the educational level of middle-aged women is inversely associated with lung cancer mortality, in older women this association disappears in the fully adjusted model. CONCLUSIONS: Both men and women benefit from being in a relationship with a high-educated partner. It seems that for men, the educational level of their partner is of great importance while for women the housing conditions is more substantial. Both research and policy interventions should allow for the family level as well.

Regional Inequalities in Lung Cancer Mortality in Belgium at the Beginning of the 21st Century: The Contribution of Individual and Area-Level Socioeconomic Status and Industrial Exposure.

Being a highly industrialized country with one of the highest male lung cancer mortality rates in Europe, Belgium is an interesting study area for lung cancer research. This study investigates geographical patterns in lung cancer mortality in Belgium. More specifically it probes into the contribution of individual as well as area-level characteristics to (sub-district patterns in) lung cancer mortality. Data from the 2001 census linked to register data from 2001-2011 are used, selecting all Belgian inhabitants aged 65+ at time of the census. Individual characteristics include education, housing status and home ownership. Urbanicity, unemployment rate, the percentage employed in mining and the percentage employed in other high-risk industries are included as sub-district characteristics. Regional variation in lung cancer mortality at sub-district level is estimated using directly age-standardized mortality rates. The association between lung cancer mortality and individual and area characteristics, and their impact on the variation of sub-district level is estimated using multilevel Poisson models. Significant sub-district variations in lung cancer mortality are observed. Individual characteristics explain a small share of this variation, while a large share is explained by sub-district characteristics. Individuals with a low socioeconomic status experience a higher lung cancer mortality risk. Among women, an association with lung cancer mortality is found for the sub-district characteristics urbanicity and unemployment rate, while for men lung cancer mortality was associated with the percentage employed in mining. Not just individual characteristics, but also area characteristics are thus important determinants of (regional differences in) lung cancer mortality.

Trends in site- and sex-specific cancer mortality between 1979 and 2010 in Belgium compared with Europe using WHO data.

BACKGROUND: Cancer mortality constitutes a major health burden in Europe. Trends are different for men and women, and across Europe. This study aims to map out Belgian cancer mortality trends for the most common cancer types in both sexes between 1979 and 2010, and to link these with trends in cancer mortality and smoking prevalence across Europe. METHODS: Mortality and population data were obtained from the World Health Organization Mortality Database. Age-standardized mortality rates were calculated by direct standardization using the European Standard Population. RESULTS: Belgian mortality decreased for the most common cancer sites between 1979 and 2010, except for female lung cancer. Yet, Belgian male lung and female breast cancer rates remain high compared with the remainder of Western Europe. For some cancer sites, mortality trends are similar among the European Regions (e.g. stomach cancer), yet for others trends are divergent (e.g. colorectal cancer). CONCLUSIONS: Generally, cancer mortality shows a favorable trend in Belgium and Europe. Yet, female lung cancer mortality rates are increasing in Belgium. Furthermore, Belgium still has higher male lung and female breast cancer mortality rates compared with the European regional averages. Considering this and the current smoking prevalence, enduring tobacco control efforts should be made.