Suicide in Portugal: Spatial determinants in a context of economic crisis

Impact of the 2008 economic crisis on the burden of hepatitis B and C diseases in Southern European countries

BACKGROUND

The economic crisis that began in 2008 has severely affected Southern (Greece, Italy, Portugal, Spain) Western European (SWE) countries of Western Europe (WE) and may have affected ongoing efforts to eliminate viral hepatitis. This study was conducted to investigate the impact of the economic crisis on the burden of HBV and HCV disease.

METHODS

Global Burden of Diseases 2019 data were used to analyse the rates of epidemiological metrics of HBV and HCV acute and chronic infections in SWE and WE. Time series modelling was performed to quantify the impact of healthcare expenditure on the time trend of HBV and HCV disease burden in 2000-2019.

RESULTS

Declining trends in incidence and prevalence rates of acute HBV (aHBV) and chronic HBV were observed in SWE and WE, with the pace of decline being slower in the post-austerity period (2010-2019) and mortality due to HBV stabilised in SWE. Acute HCV (aHCV) metrics and chronic HCV incidence and mortality showed a stable trend in SWE and WE, whereas the prevalence of chronic HCV showed an oscillating trend, decreasing in WE in 2010-2019 (p < 0.001). Liver cancer due to both hepatitis infections showed a stagnant burden over time. An inverse association was observed between health expenditure and metrics of both acute and chronic HBV and HCV.

CONCLUSIONS

Epidemiological metrics for HBV and HCV showed a slower pace of decline in the post-austerity period with better improvement for HBV, a stabilisation of mortality and a stagnant burden for liver cancer due to both hepatitis infections. The economic crisis of 2008 had a negative impact on the burden of hepatitis B and C. Elimination of HBV and HCV by 2030 will be a major challenge in the SWE countries.

The Spatio-Temporal Distribution of Suicide-related Emergency Calls in a European City: Age and Gender Patterns, and Neighborhood Influences

Objective: The aim of this study was to conduct a comprehensive spatio-temporal analysis of suicide-related emergency calls in the city of Valencia (Spain) over a six-year period. To this end we first examined age and gender patterns and, second, the influence of neighborhood characteristics on general and gender-specific spatio-temporal patterns of suicide-related emergency calls. Method: Geocoded data on suicide-related emergency calls between 2017 and 2022 (N = 10,030) were collected from the 112 emergency service in Valencia. Data were aggregated at the census block group level, used as a proxy for neighborhoods, and trimesters were considered as the temporal unit. Two set of analyses were performed: (1) demographic (age and gender) and temporal descriptive analyses and (2) general and gender-specific Bayesian spatio-temporal autoregressive models. Results: Descriptive analyses revealed a higher incidence of suicide-related emergency calls among females and an increase in calls among the 18-23 age group from 2020 onwards. The general spatio-temporal model showed higher levels of suicide-related emergency calls in neighborhoods characterized by lower education levels and population density, and higher residential mobility, aging population, and immigrant concentration. Relevant gender differences were also observed. A seasonal effect was noted, with a peak in calls during spring for females and summer for males. Conclusions: These findings highlight the need for comprehensive mental health targeted interventions and preventive strategies that account for gender-specific disparities, age-related vulnerabilities, and the specific characteristics of neighborhoods.

The associations between suicides, economic conditions and social isolation: Insights from Spain

Suicide is among the main challenges that need to be addressed in developed countries. In this paper, we analyse suicides across the 17 Spanish regions over the period 2014-2019. More precisely, our objective is to re-study the determinants of suicides focusing on the latest economic expansion period. We use count panel data models and sex stratification. A range of aggregate socioeconomic regional-level factors have been identified. Our empirical results show that: (1) a socioeconomic urban-rural suicide gaps exist; (2) there are significant gender differences, for the women a Mediterranean suicide pattern appears whereas unemployment levels have a significant importance for men, (3) social isolation factors, when significant, they show an (a priori) surprisingly positive result. We provide new highlights for suicide prevention in Spain. Precisely, it is highlighted that jointly policies by gender and attending to vulnerable groups are both necessary.

Designing a Health Strategy at Local Level: A Conceptual Framework for Local Governments

This article addresses a gap in the literature regarding the design and implementation of health and well-being strategies by local governments. It presents a conceptual framework that can help local governments to include health and well-being among their political priorities by promoting the participation of local stakeholders and the community in general. The article also highlights the important role that local governments play in public health, especially in times of crisis, such as the COVID-19 pandemic. To demonstrate the approach, the manuscript explores the recent shift toward decentralization in Portugal and the resulting emphasis on local governments leading new approaches to health governance. The planning process for Arouca's Health Strategy, an inland municipality, is used as a case study to demonstrate the approach, which emphasizes the meaningful participation of the entire local community. The article concludes by noting that there is still significant room for improvement in all areas related to health and well-being and a need to adopt new multistakeholder governance arrangements to sustain the institutional capacity for upcoming strategies.

The application of spatial analysis to understanding the association between area-level socio-economic factors and suicide: a systematic review

BACKGROUND

Little is known about what impact the use of different spatial methodological approaches may have on understanding the relationship between area-level socio-economic factors and suicide.

METHODS

In this systematic review, we searched PubMed, Embase, CINAHL and PsycInfo for original empirical studies examining the relationship between socio-economic factors and suicide with a spatial lens, published up to January 22, 2022. Data on applied spatial methods, indicators of socio-economic factors, and risk of suicide related to socio-economic factors were extracted. The protocol for this systematic review was registered with PROSPERO (CRD42021251387).

RESULTS

A systematic search yielded 6290 potentially relevant results; 58 studies met the inclusion criteria for review. Of the 58 included studies, more than half of the studies (n = 34; 58.6%) used methods that accounted for spatial effects in analyses of the association between socio-economic factors and suicide or examined spatial autocorrelation, while 24 (41.4%) studies applied univariate and multivariate models without considering spatial effects. Bayesian hierarchical models and spatial regression models were commonly used approaches to correct for spatial effects. The risk of suicide relating to socio-economic factors varied greatly by local areas and between studies using various socio-economic indicators. Areas with higher deprivation, higher unemployment, lower income, and lower education level were more likely to have higher suicide risk. There was no significant difference in results between studies using conventional versus spatial statistic methods.

CONCLUSION

An increasing number of studies have applied spatial methods, including Bayesian spatial models and spatial regression models, to explore the relationship between area-level socio-economic factors and suicide. This review of spatial studies provided further evidence that area-level socio-economic factors are generally inversely associated with suicide risk, with or without accounting for spatial autocorrelation.

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

INTRODUCTION

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

METHODS

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

RESULTS

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

CONCLUSION

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

Associations between social fragmentation, socioeconomic deprivation and suicide risk across 1887 municipalities in Japan, 2009-2017: a spatial analysis using the Bayesian hierarchical model

OBJECTIVE

Previous studies have indicated that spatial variation in suicide mortality is associated with area-specific socioeconomic characteristics, such as socioeconomic deprivation and social fragmentation. However, most of these studies have been conducted in the West and findings from Asian countries are limited. This study aims to investigate associations between socioeconomic characteristics and suicide mortality rates across 1887 municipalities in Japan between 2009 and 2017. We also assessed these associations by gender and age group.

METHODS

Suicide data were obtained from the suicide statistics of the Ministry of Health, Labour and Welfare in Japan and included information on the number of suicides by gender, age and municipality location. Social fragmentation, socioeconomic deprivation and urbanicity were used as socioeconomic characteristics in this study and were created from survey data obtained from the 2010 census. Bayesian hierarchical models were used to examine associations between socioeconomic characteristics and suicide risk.

RESULTS

Suicide rates were significantly higher in municipalities with higher levels of deprivation, with a rate ratio of 1.13 (95% credible interval: 1.10 to 1.17) in the highest quartile compared with the lowest. Higher levels of urbanicity had significantly lower suicide rates, with a rate ratio of 0.79 (95% credible interval: 0.77 to 0.82) in the highest quartile compared with the lowest. However, associations between exposures and suicide varied considerably by gender and age. Among both men and women aged 0-39 years, fragmentation was significantly associated with suicide, with rate ratios of 1.07 and 1.15 for men and women, respectively, in the highest quartile compared with the lowest.

CONCLUSION

Suicide prevention in Japan should particularly focus on areas with high levels of deprivation or low levels of urbanicity. Furthermore, young Japanese people residing in the most fragmented municipalities were also at high risk of suicide, and appropriate measures need to be taken.

The impact of the COVID-19 pandemic on suicides: A population study

This study examines the factors associated with the change in the number of suicides per month during the COVID-19 pandemic from 2019 to 2021. For economic indicators, employment and unemployment rates, Consumer Price Index, and Consumer Sentiment Index were used. As inverse indicators of social distancing, the numbers of overseas departures, domestic trips, and movie audience were used. The monthly numbers of inpatients and outpatients for depression were included to consider the effect of the prevalence of depression. Pearson's correlation coefficient analysis and a linear regression were conducted. There was a continued decrease in the number of suicides of 1.7% in 2021 from 2020 following the 4.4% decrease in the previous year. The employment rate was positively associated with the number of suicides for males, while the consumer price index was negatively associated with the number of suicides for females. While the inverse social distancing measures were positively correlated with the number of suicides, no significant association was observed in the regression analysis. Commonly shared thoughts that the pandemic would lead to an increase in suicides by its direct negative impact on mental health or indirect impact through the aggravation of economic conditions and social distancing need to be re-examined.

Strategic Assessment of Neighbourhood Environmental Impacts on Mental Health in the Lisbon Region (Portugal): A Strategic Focus and Assessment Framework at the Local Level

Scientific evidence shows that each place/environment generates specific conditions with associated impacts on the mental health and well-being of the population. A holistic, multilevel and integrated environmental approach to mental health enhances the understanding of this phenomena, supporting the local decision-making processes to improve spatial planning of neighbourhood environments. The aim of this study is to develop a strategic assessment framework, based on four municipalities in the Lisbon Region (Portugal), that explores policy and planning initiatives capable of generating favourable neighbourhood environmental conditions for mental health while also detecting risks. Using baseline results of significant statistical associations between individuals’ perceptions of their neighbourhood environment and their mental health in the Lisbon Region, a Strategic Focus on Environmental and Mental Health Assessment framework (SEmHA) was built, by applying the methodology “Strategic Thinking for Sustainability” in Strategic Environmental Assessment, developed by Partidário in 2012. Taking into account the promotion of the population’s mental health, four critical decision factors of neighbourhood environments were identified: (1) public space quality (e.g., improving sense of place), (2) physical environment quality (e.g., low levels of noise exposure), (3) professional qualification and creation of economic activities (e.g., attracting new economic activities), and (4) services and facilities (e.g., improving access to health and education services). The proposed strategic focus and assessment framework contributes to ensuring that interventions in neighbourhood environments truly achieve community mental health benefits and reduce inequalities, thus helping policy makers to assess impacts at the local level.

Suicide time-series structural change analysis in Portugal (1913-2018): Impact of register bias on suicide trends

BACKGROUND

Suicide is a potentially preventable cause of death. Epidemiology might help to identify death determinants and to monitor prevention strategies. Few studies address secular trends in suicide deaths, and even fewer describe trend-changes in relation to data collection/registration bias. Moreover, suicide is admittedly underreported. It is crucial to validate results in the context of other external causes of death trends, such as unintentional and undetermined intent deaths. We aimed to explore trends in suicide and other external causes of death in Portugal from the inception of registries until 2018, considering breaks in series.

METHODS

We collected data from all available official primary sources. We calculated cause-specific age-standardized death rates (SDR) by sex for ages equal or higher than 15 years with reference to the European Standard Population. We considered suicide (S), undetermined intent deaths (UnD), accidents (Accs), and all causes of death (ttMty). A time-series structural analysis was executed.

RESULTS

Suicide and other external causes of death rates were consistently higher in males than females. A global decline of deaths by suicide, undetermined intention and unintentional is observable. Breakpoints in years 1930, 1954, 1982, 2000-2001 were associated with major changes in deaths registration procedures or methodology.

CONCLUSIONS

The epidemiology of suicide in Portugal has changed over 106 years. However, adjusted data and consideration of bias reduce trends fluctuation. Trend changes are akin to specific changes in methodology of death registry. Suicide surveillance will improve with more reliable and stable procedures.

Socioeconomic inequalities in suicide mortality in European urban areas before and during the economic recession

BACKGROUND

Few studies have assessed the impact of the financial crisis on inequalities in suicide mortality in European urban areas. The objective of the study was to analyse the trend in area socioeconomic inequalities in suicide mortality in nine European urban areas before and after the beginning of the financial crisis.

METHODS

This ecological study of trends was based on three periods, two before the economic crisis (2000-2003, 2004-2008) and one during the crisis (2009-2014). The units of analysis were the small areas of nine European cities or metropolitan areas, with a median population ranging from 271 (Turin) to 193 630 (Berlin). For each small area and sex, we analysed smoothed standardized mortality ratios of suicide mortality and their relationship with a socioeconomic deprivation index using a hierarchical Bayesian model.

RESULTS

Among men, the relative risk (RR) comparing suicide mortality of the 95th percentile value of socioeconomic deprivation (severe deprivation) to its 5th percentile value (low deprivation) were higher than 1 in Stockholm and Lisbon in the three periods. In Barcelona, the RR was 2.06 (95% credible interval: 1.24-3.21) in the first period, decreasing in the other periods. No significant changes were observed across the periods. Among women, a positive significant association was identified only in Stockholm (RR around 2 in the three periods). There were no significant changes across the periods except in London with a RR of 0.49 (95% CI: 0.35-0.68) in the third period.

CONCLUSIONS

Area socioeconomic inequalities in suicide mortality did not change significantly after the onset of the crisis in the areas studied.

The health of Italians before and after the economic crisis of 2008

This article examines the relationship between the financial crisis of 2008 and the health of Italians using aggregate and individual health indicators in correlation with the socioeconomic changes which have occurred in the Italian population. First, the study contextualises the changes referring to some important health indicators (life expectancy, death and suicide rates). Then, the main hypothesis on the relation between worsened individual health conditions and socioeconomic deterioration is tested. For this purpose, individual data from 2005 to 2013 stemming from Health Condition and Use of Health Services surveys (Italian National Institute of Statistics) are analysed. The results show that the social categories most severely affected by the crisis, in both employment and economic terms, were basically the same as those that experienced a worsening of their physical and psychological health conditions. These categories of people have a low level of educational attainment, live in southern and insular regions and are most often men.

Experiences of involuntary job loss and health during the economic crisis in Portugal

Background:

The economic recession that started in 2008 left many unemployed across several European countries. Many studies have analyzed the relationship between job loss, health, and well-being in other contexts. This study aimed to explore experiences of involuntary unemployment during the economic recession and their relationship with health, conceptualized as a state of physical, mental, and social well-being among unemployed individuals.

Methods:

Semistructured qualitative interviews were carried out among a convenience sample of participants who became unemployed during the economic recession. The analysis was conducted to identify patterns and themes.

Results:

Participants (n = 22; 8 men and 14 women; 23–51 years) experienced feelings of loss of identity, stress, and a sense of powerlessness due to unemployment, as well as a lack of purpose and structure in their daily lives. Six themes were identified: work as the basis for life structure and personal fulfillment; response to unemployment and the importance of its duration; unemployment leading to isolation and loss of a role in society; impact of a change in financial situation on social life and consumption patterns; the physical and psychological health consequences of unemployment; and searching for ways to cope with unemployment and to feel well.

Conclusions:

Losing a job is an adverse experience that impairs an individual's perception of overall health and well-being. From a public health perspective, the results of this study highlight the need for policymakers’ awareness to help mitigate the potential consequences of involuntary job loss in the short- and long-term.

Geography of suicide in Japan: spatial patterning and rural-urban differences

PURPOSE

There are notable geographic variations in incidence rates of suicide both in Japan and globally. Previous studies have found that rurality/urbanity shapes intra-regional differences in suicide mortality, and suicide risk associated with rurality can vary significantly by gender and age. This study aimed to examine spatial patterning of and rural-urban differences in suicide mortality by gender and age group across 1887 municipalities in Japan between 2009 and 2017.

METHODS

Suicide data were obtained from suicide statistics of the Ministry of Health, Labour and Welfare in Japan. We estimated smoothed standardized mortality ratios for suicide for each of the municipalities and investigated associations with level of rurality/urbanity using Bayesian hierarchical models before and after adjusting for socioeconomic characteristics.

RESULTS

The results of the multivariate analyses showed that, for males aged 0-39 and 40-59 years, rural residents tended to have a higher suicide risk compared to urban ones. For males aged 60+ years, a distinct rural-urban gradient in suicide risk was not observed. For females aged 0-39 years, a significant association between suicide risk and rurality was not observed, while for females aged 40-59 years and females aged 60 years or above, the association was a U-shaped curve.

CONCLUSION

Our results showed that geographical distribution of and rural-urban differences in suicide mortality in Japan differed substantially by gender and age. These findings suggest that it is important to take demographic factors into consideration when municipalities allocate resources for suicide prevention.

The Association between Material Deprivation and Avoidable Mortality in Lisbon, Portugal

There is considerable evidence pointing to the existence of a socioeconomic gradient in mortality, which tends to be steeper in urban areas. Similar to other European cities, Lisbon is far from homogeneous since considerable geographical inequalities exist between the more advantaged and the more deprived neighborhoods. The main goals of this study are to describe the geographical pattern of premature deaths (before 65 years old), avoidable deaths (preventable and amenable to healthcare) and cause-specific mortality (HIV/AIDS and suicide) in Lisbon, at the lower administrative level (civil parish, in Portuguese: Freguesia), and analyze the statistical association between mortality risk and deprivation, before (1999–2003) and during the economic crisis (2008–2012). Smoothed Standardized Mortality Ratios (sSMR) and Relative Risk (RR) with 95% credible intervals were calculated to identify the association between mortality and deprivation. The analysis of the geographical distribution of cause-specific mortality reveals that civil parishes with high sSMR in the first period continued to present higher mortality rates in the second. Moreover, a significant statistical association was found between all the causes of death and deprivation, except suicide. These findings contribute to understanding how social conditions influence health outcomes and can offer insights about potential policy directions for local government.

Assessing inequalities in geographical access to emergency medical services in metropolitan Lisbon: a cross-sectional and ecological study

OBJECTIVES

Studies have suggested that material deprivation is strongly associated with negative health outcomes, and lower usage of various levels of healthcare. We aim to analyse geographical access to emergency medical services (EMSs) and hospital emergency units by EMS in relation to deprivation in the Lisbon Metropolitan Area (LMA), Portugal.

DESIGN

This study estimates road network-based access times from the centroids of statistical sections (census block groups equivalent) to locations of EMS and hospital emergency services. Each statistical section has been linked to a Material Deprivation Index (MDI). A non-parametric analysis of variance (ANOVA) was undertaken to compare MDI-linked statistical sections in terms of access to emergency care. Geographical access analysis was conducted for 2018.

PRIMARY OUTCOME MEASURE

Road network-based access time (in minutes) for EMSs to statistical sections and then on to emergency units in hospitals.

RESULTS

Overall, 82.4% of the LMA population is located less than a 10 min drive from an EMS without transport, and 99.1% from an EMS with transport. Travel time from EMS with transport to hospital is potentially less than 20 min for 95.2% of the population. However, 63.1% of residents living beyond a 30 min threshold (total time from emergency call to hospital arrival) are in areas with very high MDI (18.8% in high MDI, 13.3% in medium MDI, 4.7% in low MDI, 0% in very low MDI). Kruskal-Wallis ANOVA confirms discrepancies in access times between better-off and poorer areas.

CONCLUSION

Poorer areas experience worse geographical access to EMS and hospital emergency units. More research is needed to explore the quality of services and their outcomes, and to refine the analysis by focusing on specific vulnerable groups.

Suicide and apparent temperature in the two capitals cities in the iberian peninsula

Different authors have identified geographic variations in the rates of suicide. This study aims to discuss the limitations of the officially recorded suicide data and to evaluate the statistical relationship between a biometeorological index, Apparent Temperature (AT), and suicide in Madrid and Lisbon. We performed a time-series study. The association was analyzed using a quasi-Poisson regression model. To assess potential delayed and non-linear effects of AT on suicides, a lag non-linear model was fitted in a generalized additive model. There was an average rate of 3.30 suicides/100,000 inhabitants in Madrid and of 7.92 suicides/100,000 inhabitants in Lisbon, and a downward trend was found throughout the period. In Madrid, there is no statistically significant association between AT and suicide. However, in Lisbon, under higher AT, there was a higher risk of suicide. The highest accumulated statistically significant Relative Risk (RR) of suicide was detected at 7 days after the exposure, when at 38 °C, the risk of suicide is 2.7 times that existing at the median AT, 20.62°. The average mortality rate recorded in Lisbon was 41.6% higher than that registered in Madrid. However, the limitations of suicide record databases in Spain and Portugal have to be taken into account when analyzing incidence and especially when comparing data from different countries. It is necessary to improve the filing systems of violent deaths in order to perform reliable epidemiological studies.

Disparities in Geographical Access to Hospitals in Portugal

Geographical accessibility to health care services is widely accepted as relevant to improve population health. However, measuring it is very complex, mainly when applied at administrative levels that go beyond the small-area level. This is the case in Portugal, where the municipality is the administrative level that is most appropriate for implementing policies to improve the access to those services. The aim of this paper is to assess whether inequalities in terms of access to a hospital in Portugal have improved over the last 20 years. A population-weighted driving time was applied using the census tract population, the roads network, the reference hospitals’ catchment area and the municipality boundaries. The results show that municipalities are 25 min away from the hospital—3 min less than in 1991—and that there is an association with premature mortality, elderly population and population density. However, disparities between municipalities are still huge. Municipalities with higher rates of older populations, isolated communities or those located closer to the border with Spain face harder challenges and require greater attention from local administration. Since municipalities now have responsibilities for health, it is important they implement interventions at the local level to tackle disparities impacting access to healthcare.

Suicide mortality in the city of São Paulo: epidemiological characteristics and their social factors in a temporal trend between 2000 and 2017. Retrospective study

BACKGROUND

Suicide is one of the leading causes of death worldwide, accounting for one million deaths annually. Greater understanding of the causal risk factors is needed, especially in large urban centers.

OBJECTIVE

To ascertain the epidemiological profile and temporal trend of suicides over two decades and correlate prevalence with social indicators.

DESIGN AND SETTING

Descriptive population-based longitudinal retrospective study conducted in the city of São Paulo, Brazil.

METHODS

A temporal trend series for suicide mortality in this city was constructed based on data from the Ministry of Health's mortality notification system, covering 2000-2017. It was analyzed using classic demographic variables relating to social factors.

RESULTS

Suicide rates were high throughout this period, increasing from 4.6/100,000 inhabitants in the 2000s to 4.9/100,000 in 2017 (mean: 4.7/100,000). The increase in mortality was mainly due to increased male suicide, which went from 6.0/100,000 to the current 8.0/100,000. Other higher coefficients corresponded to social risk factors, such as being a young adult (25-44 years old), being more educated (eight years of schooling) and having white ethnicity (67.2%). Suicide was also twice as likely to occur at home (47.8%).

CONCLUSION

High suicide rates were seen over the period 2000-2017, especially among young adults and males. High schooling levels and white ethnicity were risk factors. The home environment is the crucial arena for preventive action. One special aspect of primary prevention is the internet and especially social media, which provides a multitude of information for suicide prevention.

Fatal intentional drowning in Australia: A systematic literature review of rates and risk factors

INTRODUCTION

Unintentional drowning deaths are only part of the drowning profile, with little attention being paid to intentional drowning in Australia. Strategies for the prevention of intentional drowning deaths are likely to be different from unintentional. Quality documentation, analysis and dissemination of intentional deaths data is crucial for developing appropriate strategies for prevention.

OBJECTIVE

To conduct a systematic literature review to investigate the mortality rates and risk factors of intentional drowning deaths in Australia.

METHODS

A systematic search guided by PRISMA was performed using Ovid MEDLINE, CINAHL, PsycINFO (ProQuest), Scopus, Google Scholar, and BioMed Central databases to locate relevant original research articles published between 2007 and 2018.

RESULTS

Ten papers reporting the mortality rates and risk factors of intentional drowning deaths in Australia published between 2007 and 2018, with study periods of the included articles spanning from 1907 to 2012, were reviewed. Most studies investigated suicidal drowning deaths in Australia, none reported homicidal drowning deaths. The downward trend of fatal suicide drowning was identified in Australia. The annual rate of intentional drowning between 1994 and 2012 can be inferred from eight studies, ranging from 0.06 to 0.21 for nation-wide mortality rates. The highest annual state-wide mortality rate was identified in the state of Queensland, ranging from 0.02 to 0.11 per 100,000 individuals. Of four studies examining the risk factors of fatal intentional drowning in Australia, being of older age groups, being female, and the presence of substance use were identified as important factors for suicidal drowning deaths. The national-scale proportion of suicide drowning in Australia, ranging from 2% to 3% of all intentional self-harm deaths, was also identified.

CONCLUSION

Limited publications reporting the mortality rates and risk factors of intentional drowning deaths in Australia were identified. Being of older age groups and being female were recognised as factors for suicide drowning deaths, and psychoactive substances were widely identified amongst cases. Future research on improving death reporting systems and the legal framework for medico-legal death investigation, along with the investigation of the risk factors of intentional drowning, are required to inform the planning, implementation, and evaluation of prevention interventions for intentional drowning deaths in Australia.

Can We Develop a Risk Map for Suicide Rates? An Ecological Study in Portugal

Place of residence can influence suicide acts, beyond individual characteristics. The aim of this study was to identify areas with a greater risk of suicide, identify possible associations with ecological risk factors and develop a risk map of suicide in Portugal. Spatial scan statistic was used to identify critical areas and associations were analyzed through logistic regression models. The results indicate that the spatial distribution of suicides could be determined by a set of ecological risk factors, and that being a foreigner (OR 26.64; 95% CI 13.15-53.97), having no religion (OR 8.65; 95% CI 4.62-16.19) and having lower levels of education (OR 1.20; 95% CI 1.09-3.64) are associated with a higher risk of suicide in Portugal. Results indicate that local risk factors should be taken into account, in accordance to the priority Health Program in the Mental Health area of the Directorate-General for Health of Portugal.

Effect of the Financial Crisis on Socioeconomic Inequalities in Mortality in Small Areas in Seven Spanish Cities

Background: The aim of this study was to analyze the trend in socioeconomic inequalities in mortality in small areas due to several specific causes before (2001–2004, 2005–2008) and during (2009–2012) the economic crisis in seven Spanish cities. Methods: This ecological study of trends, with census tracts as the areas of analysis, was based on three periods. Several causes of death were studied. A socioeconomic deprivation index was calculated for each census tract. For each small area, we estimated standardized mortality ratios, and controlled for their variability using Bayesian models (sSMR). We also estimated the relative risk of mortality according to deprivation in the different cities, periods, and sexes. Results: In general, a similar geographical pattern was found for the socioeconomic deprivation index and sSMR. For men, there was an association in all cities between the deprivation index and all-cause mortality that remained stable over the three periods. For women, there was an association in Barcelona, Granada, and Sevilla between the deprivation index and all-cause mortality in the third period. Patterns by causes of death were more heterogeneous. Conclusions: After the start of the financial crisis, socioeconomic inequalities in total mortality in small areas of Spanish cities remained stable in most cities, although several causes of death showed a different pattern.

Effect of the recent economic crisis on socioeconomic inequalities in mortality in nine urban areas in Europe

OBJECTIVE

To analyse socioeconomic inequalities in all-cause mortality among men and women in nine European urban areas during the recent economic crisis, and to compare the results to those from two periods before the crisis.

METHOD

This is an ecological study of trends based on three time periods (2000-2003, 2004-2008 and 2009-2014). The units of analysis were the small areas of nine European urban areas. We used a composite deprivation index as a socioeconomic indicator, along with other single indicators. As a mortality indicator, we used the smoothed standardized mortality ratio, calculated using the hierarchical Bayesian model proposed by Besag, York and Mollié. To analyse the evolution of socioeconomic inequalities, we fitted an ecological regression model that included the socioeconomic indicator, the period of time, and the interaction between these terms.

RESULTS

We observed significant inequalities in mortality among men for almost all the socioeconomic indicators, periods, and urban areas studied. However, no significant changes occurred during the period of the economic crisis. While inequalities among women were less common, there was a statistically significant increase in inequality during the crisis period in terms of unemployment and the deprivation index in Prague and Stockholm, respectively.

CONCLUSIONS

Future analyses should also consider time-lag in the effect of crises on mortality and specific causes of death, and differential effects between genders.

Associations of Suicide Rates With Socioeconomic Status and Social Isolation: Findings From Longitudinal Register and Census Data

Suicide represents a major challenge to public mental health. In order to provide empirical evidence for prevention strategies, we hypothesized current levels of low socioeconomic status (SES) and high social isolation (SI) to be linked to increased suicide rates in N = 390 administrative districts since SES and SI are associated with mental illness. Effects of SES on suicide rates were further expected to be especially pronounced in districts with individuals showing high SI levels as SI reduces the reception of social support and moderates the impact of low SES on poor mental health. We linked German Microcensus data to register data on all 149,033 German suicides between 1997 and 2010 and estimated Prentice and Sheppard's model for aggregate data to test the hypotheses, accounting for spatial effect correlations. The findings reveal increases in district suicide rates by 1.20% (p < 0.035) for 1% increases of district unemployment, suicide rate decreases of -0.39% (p < 0.028) for 1% increases in incomes, increases of 1.65% (p < 0.033) in suicides for 1% increases in one-person-households and increases in suicide rates of 0.54% (p < 0.036) for 1% decreases in single persons' incomes as well as suicide rate increases of 3.52% (p < 0.000) for 1% increases in CASMIN scores of individuals who moved throughout the year preceding suicide. The results represent appropriate starting points for the development of suicide prevention strategies. For the definition of more precise measures, future work should focus on the causal mechanisms resulting in suicidality incorporating individual level data.

Mortality by suicide in the State of Pernambuco, Brazil (1996-2015)

ABSTRACT Objective: To describe the epidemiological characteristics of suicide mortality in the state of Pernambuco, from 1996 to 2015. Method: Study with data from the Sistema de Informações sobre Mortalidade. The simple linear regression model was used to verify the trend in the period analyzed. Results: There were 6,229 suicides, of which 3,390 (54.4%) occurred in the second decade of study. The mortality rate was 4.7 per 100,000 inhabitants. The temporal trend presented a decrease of 23.5% (p=0.031). For the male sex and the age range between 20 and 39 years, there was a decline in self-inflicted death of 23.8% (p=0.018) and 26.1% (p=0.046), respectively. Conclusion: The temporal analysis revealed a reduction in suicide mortality coefficients. This observation may contribute to better targeting of health interventions, optimizing resources and efforts, especially in suicide prevention.

Suicide mortality among youth in southern Brazil: a spatiotemporal evaluation of socioeconomic vulnerability

Objective:

To conduct a geospatial analysis of suicide deaths among young people in the state of Paraná, southern Brazil, and evaluate their association with socioeconomic and spatial determinants.

Methods:

Data were obtained from the Mortality Information System and the Brazilian Institute of Geography and Statistics. Data on suicide mortality rates (SMR) were extracted for three age groups (15-19, 20-24, and 25-29 years) from two 5-year periods (1998-2002 and 2008-2012). Geospatial data were analyzed through exploratory spatial data analysis. We applied Bayesian networks algorithms to explore the network structure of the socioeconomic predictors of SMR.

Results:

We observed spatial dependency in SMR in both periods, revealing geospatial clusters of high SMR. Our results show that socioeconomic deprivation at the municipality level was an important determinant of suicide in the youth population in Paraná, and significantly influenced the formation of high-risk SMR clusters.

Conclusion:

While youth suicide is multifactorial, there are predictable geospatial and sociodemographic factors associated with high SMR among municipalities in Paraná. Suicide among youth aged 15-29 occurs in geographic clusters which are associated with socioeconomic deprivation. Rural settings with poor infrastructure and development also correlate with increased SMR clusters.

Evaluation of data availability on population health indicators at the regional level across the European Union

BACKGROUND

The ability to measure regional health inequalities across Europe and to build adequate population health indices depends significantly on the availability of reliable and comparable data at the regional level. Within the scope of the EU-funded project EURO-HEALTHY, a Population Health Index (PHI) was built. This model aggregates 39 indicators considered relevant by experts and stakeholders to evaluate and monitor population health on the regional level within the European Union (269 regions). The aim of this research was to assess the data availability for those indicators. As a subsequent aim, an adequate protocol to overcome issues arising from missing data will be presented, as well as key messages for both national and European statistical authorities meant to improve data collection on population health.

METHODS

The methodology for the study includes three consecutive phases: (i) assessing the data availability for the respective indicators at the regional level for the last year available (ii) applying a protocol for missing data and completing the database and (iii) developing a scoring system ranging from 0 (no data available; worst) to 1 (all data available; best) to evaluate the availability of data by indicator and EU region.

RESULTS

Although the missing data on the set of the PHI indicators was significant, the mean availability score for the EURO-HEALTHY PHI indicators is 0.8 and the regional availability score is 0.7, which reveal the strength of the indicators as well as the data completeness protocol for missing data.

CONCLUSIONS

This study provides a comprehensive data availability assessment for population health indicators from multiple areas of concern, at the EU regional level. The results highlight that the data completeness protocol and availability scores are suitable tools to apply on any indicator's data source mapping. It also raises awareness to the urgent need for sub-national data in several domains and for closing the data gaps between and within countries. This will require policies clearly focused on improving equity between regions and a coordinated effort from the producers of data (the EU28 national statistics offices and EUROSTAT) and the stakeholders who design policies at EU, regional and local level.

The Role of Individual and Neighborhood Characteristics on Mental Health after a Period of Economic Crisis in the Lisbon Region (Portugal): A Multilevel Analysis

Mental health is an intrinsic dimension of health influenced by individual and contextual factors. This cross-sectional study analyzes the association between the individual, neighborhood characteristics, and one’s self-assessed mental health status in the Lisbon region after an economic crisis. Via the application of multilevel regression models, the study assesses the link between one’s neighborhood environment—deprivation, low self-assessed social capital, and low self-assessed satisfaction with the area of residence—and mental health regardless of one’s individual characteristics. Constraints related to the economic crisis play an important role in the explanation of poor mental health.

Health Disparities in Czechia and Portugal at Country and Municipality Levels

This article investigates the health outcomes and determinants between two different European populations, Portuguese and Czech, on two hierarchical levels: country and metropolitan area. At first, the decomposition method of age and cause of death were compared on the country level, and then health was examined based on a factor analysis at the municipality level of Prague and Lisbon. The results clearly indicate problematic diabetes mortality among the Portuguese population, and especially in the Lisbon Metropolitan Area, and confirm the dominant role of circulatory mortality and cancer mortality among Czech, especially the Prague population. The social and economic deprivations were revealed as the major drivers for both metropolitan areas, although with differences between them, requiring interventions that go beyond the health sector.

Population Health Inequalities Across and Within European Metropolitan Areas through the Lens of the EURO-HEALTHY Population Health Index

The different geographical contexts seen in European metropolitan areas are reflected in the uneven distribution of health risk factors for the population. Accumulating evidence on multiple health determinants point to the importance of individual, social, economic, physical and built environment features, which can be shaped by the local authorities. The complexity of measuring health, which at the same time underscores the level of intra-urban inequalities, calls for integrated and multidimensional approaches. The aim of this study is to analyse inequalities in health determinants and health outcomes across and within nine metropolitan areas: Athens, Barcelona, Berlin-Brandenburg, Brussels, Lisbon, London, Prague, Stockholm and Turin. We use the EURO-HEALTHY Population Health Index (PHI), a tool that measures health in two components: Health Determinants and Health Outcomes. The application of this tool revealed important inequalities between metropolitan areas: Better scores were found in Northern cities when compared with their Southern and Eastern counterparts in both components. The analysis of geographical patterns within metropolitan areas showed that there are intra-urban inequalities, and, in most cities, they appear to form spatial clusters. Identifying which urban areas are measurably worse off, in either Health Determinants or Health Outcomes, or both, provides a basis for redirecting local action and for ongoing comparisons with other metropolitan areas.

The prevalence of late-life depression in a Portuguese community sample: A 10/66 Dementia Research Group study

BACKGROUND

Late life depression is associated with a significant burden of disease. Estimating depression in older adults can be difficult and requires different methodological approaches from those fitting younger adults. As community prevalence data is scarce in Portugal, we estimated the prevalence of depression in a sample of older Portuguese adults. Moreover, we investigated the association between depression and disability.

METHODS

A cross-sectional comprehensive one-phase survey was conducted of all residents aged 65 and over of one urban and one rural catchment area in Southern Portugal. Standardized 10/66 assessments include a comprehensive cognitive module and the Geriatric Mental State (GMS)-AGECAT. Information on demographics, non-communicable disease risk factors and disability/functioning (WHODAS 2.0) was also recorded. Depression was assessed using both ICD-10 and EURO-D criteria.

RESULTS

We interviewed 1405 older people (mean age 74.9, SD = 6.7 years; 55.5% women) after 313 (18.2%) refusals to participate. The prevalence rate for ICD-10 depression was 4.4 (95% CI 3.5-5.6) and 18.0 (95% CI 16.0-20.1) using the EURO-D case definition. As compared with having no depression, ICD-10 depression was associated with a higher level of disability, even after adjusting for confounders (4.8, 95% CI 2.8-8.1). The same happened with subsyndromal depression ('EURO-D only') cases (2.2, 95% CI 1.4-3.5).

LIMITATIONS

Non-generalisability of findings outside of catchment areas.

CONCLUSIONS

In this sample of older Portuguese people, the prevalence of depression was high and so were the associated levels of disability. EURO-D diagnoses may provide a better picture of clinically significant old age depression as a basis for health and social service planning.

Ten-year evolution of suicide rates and economic indicators in large Brazilian urban centers

PURPOSE OF REVIEW

This was a retrospective ecological study to examine the relationship between suicide rates and economic indicators in large Brazilian urban centers. Data on macroeconomic indicators (GDP and unemployment rates) and suicide rates of the largest Brazilian cities were collected from January 2006 to December 2015.

RECENT FINDINGS

Six cities were included in the study: Porto Alegre in the South, Recife and Salvador in the Northeast, and Belo Horizonte, São Paulo and Rio de Janeiro in the Southeast region. We observed a 4% increase in the age-adjusted suicide rate in these large Brazilian urban centers from 2006 to 2015, which is less pronounced than the 9% increase in the national rates of suicide observed in the same period.

SUMMARY

The effect of economic indicators was heterogeneous among the centers, but, overall, the variation in suicide rates was inversely related to unemployment and did not show a significant relationship with GDP. These findings indicate a more complex link between economics and suicide whenever looking at local regional indicators. Further research should focus on possible intervening factors, what may inform better preventive interventions.

What calls for service tell us about suicide: A 7-year spatio-temporal analysis of neighborhood correlates of suicide-related calls

Previous research has shown that neighborhood-level variables such as social deprivation, social fragmentation or rurality are related to suicide risk, but most of these studies have been conducted in the U.S. or northern European countries. The aim of this study was to analyze the spatio-temporal distribution of suicide in a southern European city (Valencia, Spain), and determine whether this distribution was related to a set of neighborhood-level characteristics. We used suicide-related calls for service as an indicator of suicide cases (n = 6,537), and analyzed the relationship of the outcome variable with several neighborhood-level variables: economic status, education level, population density, residential instability, one-person households, immigrant concentration, and population aging. A Bayesian autoregressive model was used to study the spatio-temporal distribution at the census block group level for a 7-year period (2010–2016). Results showed that neighborhoods with lower levels of education and population density, and higher levels of residential instability, one-person households, and an aging population had higher levels of suicide-related calls for service. Immigrant concentration and economic status did not make a relevant contribution to the model. These results could help to develop better-targeted community-level suicide prevention strategies.

An Ecological Study on the Spatially Varying Relationship between County-Level Suicide Rates and Altitude in the United States

Suicide is a serious but preventable public health issue. Several previous studies have revealed a positive association between altitude and suicide rates at the county level in the contiguous United States. We assessed the association between suicide rates and altitude using a cross-county ecological study design. Data on suicide rates were obtained from a Web-based Injury Statistics Query and Reporting System (WISQARS), maintained by the U.S. National Center for Injury Prevention and Control (NCIPC). Altitude data were collected from the United States Geological Survey (USGS). We employed an ordinary least square (OLS) regression to model the association between altitude and suicide rates in 3064 counties in the contiguous U.S. We conducted a geographically weighted regression (GWR) to examine the spatially varying relationship between suicide rates and altitude after controlling for several well-established covariates. A significant positive association between altitude and suicide rates (average county rates between 2008 and 2014) was found in the dataset in the OLS model (R² = 0.483, p < 0.001). Our GWR model fitted the data better, as indicated by an improved R² (average: 0.62; range: 0.21–0.64) and a lower Akaike Information Criteria (AIC) value (13,593.68 vs. 14,432.14 in the OLS model). The GWR model also significantly reduced the spatial autocorrelation, as indicated by Moran’s I test statistic (Moran’s I = 0.171; z = 33.656; p < 0.001 vs. Moran’s I = 0.323; z = 63.526; p < 0.001 in the OLS model). In addition, a stronger positive relationship was detected in areas of the northern regions, northern plain regions, and southeastern regions in the U.S. Our study confirmed a varying overall positive relationship between altitude and suicide. Future research may consider controlling more predictor variables in regression models, such as firearm ownership, religion, and access to mental health services.

Suicídio em Portugal: um retrato do país

RESUMO Objetivo Identificar padrões de tendências do suicídio registrado em Portugal, tendo em conta um conjunto de variáveis socioeconômicas e demográficas entre os anos 2007 e 2014, de modo a obter uma visão geral desse flagelo em Portugal. Métodos Recorrendo a dados do Instituto Nacional de Estatística (INE) e do Sistema de Informação dos Certificados de Óbito (SICO), foi analisado o suicídio segundo a categoria do CID-10 (Classificação Internacional de Doenças), examinando-se as incidências por gênero, faixa etária e região. Resultados Os mais acometidos pelo suicídio são homens (54,8%), com idade superior a 75 anos (30,9%), e ele ocorre nas zonas economicamente mais desfavorecidas. A mortalidade por suicídio mais elevada encontra-se na região do Alentejo (12,8%). Conclusão A mortalidade por suicídio continua a crescer em Portugal e varia em função do gênero e idade, sendo mais elevada nas regiões do Centro e Sul. É necessária uma estratégia de acompanhamento e de prevenção no âmbito da ação social e dos cuidados de saúde, com importantes variações regionais, e maior vigilância sobre a comercialização ilegal de armas de fogo e de pesticidas.

Rethinking the health consequences of social class and social mobility

The task of studying the impact of social class on physical and mental health involves, among other things, the use of a conceptual toolbox that defines what social class is, establishes how to measure it, and sets criteria that help distinguish it from closely related concepts. One field that has recently witnessed a wealth of theoretical and conceptual research on social class is psychology, but geographers' and sociologists' attitude of diffidence toward this "positivistic" discipline has prevented them from taking advantage of this body of scholarship. This paper aims to highlight some of the most important developments in the psychological study of social class and social mobility that speak to the long-standing concerns of health geographers and sociologists with how social position, perceptions, social comparisons, and class-based identities impact health and well-being.

Urban-rural inequalities in suicide mortality: a comparison of urbanicity indicators

Background

Urban–rural disparities in suicide mortality have received considerable attention. Varying conceptualizations of urbanity may contribute to the conflicting findings. This ecological study on Germany assessed how and to what extent urban–rural suicide associations are affected by 14 different urban–rural indicators.

Methods

Indicators were based on continuous or k-means classified population data, land-use data, planning typologies, or represented population-based accessibility indicators. Agreements between indicators were tested with correlation analyses. Spatial Bayesian Poisson regressions were estimated to examine urban–rural suicide associations while adjusting for risk and protective factors.

Results

Urban–rural differences in suicide rates per 100,000 persons were found irrespective of the indicator. Strong and significant correlation was observed between different urban–rural indicators. Although the effect sign consistently referred to a reduced risk in urban areas, statistical significance was not universally confirmed by all regressions. Goodness-of-fit statistics suggested that the population potential score performs best, and that population density is the second best indicator of urbanicity. Numerical indicators are favored over classified ones. Regional planning typologies are not supported.

Conclusions

The strength of suicide urban–rural associations varies with respect to the applied indicator of urbanicity. Future studies that put urban–rural inequalities central are recommended to apply either unclassified population potentials or population density indicators, but sensitivity analyses are advised.

Electronic supplementary material

The online version of this article (10.1186/s12942-017-0112-x) contains supplementary material, which is available to authorized users.

Spatiotemporal Suicide Risk in Germany: A Longitudinal Study 2007-11

Despite comprehensive prevention programs in Germany, suicide has been on the rise again since 2007. The underlying reasons and spatiotemporal risk patterns are poorly understood. We assessed the spatiotemporal risk of suicide per district attributable to multiple risk and protective factors longitudinally for the period 2007–11. Bayesian space–time regression models were fitted. The nationwide temporal trend showed an increase in relative risk (RR) of dying from suicide (RR 1.008, 95% credibility intervals (CI) 1.001–1.016), whereas district-specific deviations from the grand trend occurred. Striking patterns of amplified risk emerged in southern Germany. While the number of general practitioners was positively related (RR 1.003, 95% CI 1.000–1.006), income was negatively and non-linearly related with suicide risk, as was population density. Unemployment was associated and showed a marked nonlinearity. Neither depression prevalence nor mental health service supply were related. The findings are vital for the implementation of future suicide prevention programs. Concentrating preventive efforts on vulnerable areas of excess risk is recommended.

Facing unemployment: study protocol for the implementation and evaluation of a community-based intervention for psychological well-being promotion

BACKGROUND

Economic crises and unemployment have profound impact on mental health and well-being. Main goal of the Healthy Employment (HE) project is to enhance intersectoral actions promoting mental health among unemployed, namely through the implementation and effectiveness-evaluation of short-term and sustainable group interventions.

METHODS

The project follows a RE-AIM-based (Reach, Effectiveness, Adoption, Implementation and Maintenance) framework for assessing a cognitive-behavioural and psychoeducational intervention that has been developed for promoting mental health among unemployed people. It is a short-term group intervention (five sessions, four hours each, 20 unemployed persons per group) focused on mental health literacy, interpersonal communication and of emotional regulation. Implementation of the intervention will be carried out by clinical psychologists, following a standardized procedure manual. Effectiveness will be assessed through a randomized field study with two arms (intervention and control). Participants are unemployed people (18-65 years old, both genders, having at least nine years of formal education) registered at public employment centres from different geographical regions for less than 12 months (including first-job seekers). Allocation to arms of the study will follow a random match-to-case process, considering gender, age groups and educational level. Three moments of evaluation will occur: before intervention (baseline), immediately after its ending and three months later. Main outcomes are mental health literacy, mental health related personal and perceived stigma, psychological well-being, satisfaction with life and resilience. Intention-to-treat and per-protocol analyses will be conducted. Cohen's d coefficient and odds ratio will be used for assessing the size of the intervention effect, when significant.

DISCUSSION

Scientific and clinical knowledge will be applied to promote/protect psychological well-being of unemployed people. While the first phases of the project are funded by the European Economic Area Grants, long-term assessments of the intervention require a larger timeframe. Further funding and institutional support will be sought for this purpose. Already established intersectoral collaborations are key-assets to reach long-term sustainability of this project.

TRIAL REGISTRATION

The study was registered with the Australian New Zealand Clinical Trials Registry; Prospectively registered number: ACTRN12616001432404 ; date of registration: 13 October 2016.

Spatio-Temporal Analysis of Suicide-Related Emergency Calls

Considerable effort has been devoted to incorporate temporal trends in disease mapping. In this line, this work describes the importance of including the effect of the seasonality in a particular setting related with suicides. In particular, the number of suicide-related emergency calls is modeled by means of an autoregressive approach to spatio-temporal disease mapping that allows for incorporating the possible interaction between both temporal and spatial effects. Results show the importance of including seasonality effect, as there are differences between the number of suicide-related emergency calls between the four seasons of each year.

A spatio-temporal analysis of suicide in El Salvador

Background

In 2012, international statistics showed El Salvador’s suicide rate as 40th in the world and the highest in Latin America. Over the last 15 years, national statistics show the suicide death rate declining as opposed to an increasing rate of homicide. Though completed suicide is an important social and health issue, little is known about its prevalence, incidence, etiology and spatio-temporal behavior. The primary objective of this study was to examine completed suicide and homicide using the stream analogy to lethal violence within a spatio-temporal framework.

Methods

A Bayesian model was applied to examine the spatio-temporal evolution of the tendency of completed suicide over homicide in El Salvador. Data on numbers of suicides and homicides at the municipal level were obtained from the Instituto de Medicina Legal (IML) and population counts, from the Dirección General de Estadística y Censos (DIGESTYC), for the period of 2002 to 2012. Data on migration were derived from the 2007 Population Census, and inequality data were obtained from a study by Damianović, Valenzuela and Vera.

Results

The data reveal a stable standardized rate of total lethal violence (completed suicide plus homicide) across municipalities over time; a decline in suicide; and a standardized suicide rate decreasing with income inequality but increasing with social isolation. Municipalities clustered in terms of both total lethal violence and suicide standardized rates.

Conclusions

Spatial effects for suicide were stronger among municipalities located in the north-east and center-south sides of the country. New clusters of municipalities with large suicide standardized rates were detected in the north-west, south-west and center-south regions, all of which are part of time-stable clusters of homicide. Prevention efforts to reduce income inequality and mitigate the negative effects of weak relational systems should focus upon municipalities forming time-persistent clusters with a large rate of death by suicide. In municipalities that are part of newly-formed suicide clusters and also are located in areas with a large rate of homicide, interrupting the expansion of spatial concentrations of suicide over time may require the implementation of both public health and public safety interventions.

Evidence of social deprivation on the spatial patterns of excess winter mortality

Objectives

The aims of this study are to identify the patterns of excess winter mortality (due to diseases of the circulatory system) and to analyse the association between the excess winter deaths (EWD) and socio-economic deprivation in Portugal.

Methods

The number of EWD in 2002–2011 was estimated by comparing the number of deaths in winter months with the average number in non-winter months. The EWD ratio of each municipality was calculated by following the indirect standardization method and then compared with two deprivation indexes (socio-material and housing deprivation index) through ecological regression models.

Results

This study found that: (1) the EWD ratio showed considerable asymmetry in its geography; (2) there are significant positive associations between the EWD ratio and both deprivation indexes; and (3) at the higher level of deprivation, housing conditions have a stronger association with EWD than socio-material conditions.

Conclusions

The significant association between two deprivation dimensions (socio-material and housing deprivation) and EWDs suggests that EWD geographical pattern is influenced by deprivation.

Epidemiology of coronial deaths from pesticide ingestion in Australia

Pesticides in Australia are tightly regulated but it is unknown how this may affect the distribution of misuse and self-harm across Australia, both spatially and within subgroups in the population. We performed an observational study to examine spatial differences in suicide/deliberate poisonings with pesticides in Australia. We examined Coronial inquest cases of self-harm by pesticide ingestion for the years 2001-2013 (n=209). Coronial cases were older, more likely to be male, have lower SES status and live in outer regional areas as opposed to cities when compared to the general population. Case densities (cases/100,000 population) were lower in large capital cities and higher in agricultural areas: despite this half the cases occurred in major cities.

The area level association between suicide, deprivation, social fragmentation and population density in the Republic of Ireland: a national study

PURPOSE

Numerous studies have examined the ecological relationship between suicide and area level determinants such as deprivation and social fragmentation. In Ireland, there is considerable geographic variation in the rates of suicide. However, there is a dearth of Irish studies investigating the geographic variability of suicide.

METHODS

The Irish Central Statistics Office (CSO) provided data relating to all deaths by suicide and deaths of undetermined intent that occurred from 2009 to 2011. Negative binomial regression was used to examine the relationship between area level suicide rates and measures of deprivation, social fragmentation and population density that were taken from the 2011 National Census.

RESULTS

Overall deprivation had the strongest independent effect on small-area rates of suicide, with the most deprived areas showing the greatest risk of suicide (risk ratio = 2.1; 95 % CI 1.70-2.52). Low population density (rurality) was associated with an increased risk suicide in males across both age groups and among females in the older 40-64-year age group. Conversely, a weak association between high population density (urbanicity) and increased suicide risk was found among females in the 15-39-year age group. Associations with social fragmentation only became apparent in the sub group analysis. Social fragmentation was associated with an elevated risk of suicide in the older 40-64 age group, with this effect being most pronounced among females.

CONCLUSION

The findings of this study demonstrate marked geographical inequalities in the distribution of suicide in Ireland and highlight the importance of targeting suicide prevention resources in the most deprived areas.

Effects of the financial crisis and Troika austerity measures on health and health care access in Portugal

Although Portugal has been deeply affected by the global financial crisis, the impact of the recession and subsequent austerity on health and to health care has attracted relatively little attention. We used several sources of data including the European Union Statistics for Income and Living Conditions (EU-SILC) which tracks unmet medical need during the recession and before and after the Troika's austerity package. Our results show that the odds of respondents reporting having an unmet medical need more than doubled between 2010 and 2012 (OR=2.41, 95% CI 2.01-2.89), with the greatest impact on those in employment, followed by the unemployed, retired, and other economically inactive groups. The reasons for not seeking care involved a combination of factors, with a 68% higher odds of citing financial barriers (OR=1.68, 95% CI 1.32-2.12), more than twice the odds of citing waiting times and inability to take time off work or family responsibilities (OR 2.18, 95% CI 1.20-3.98), and a large increase of reporting delaying care in the hope that the problem would resolve on its own (OR=13.98, 95% CI 6.51-30.02). Individual-level studies from Portugal also suggest that co-payments at primary and hospital level are having a negative effect on the most vulnerable living in disadvantaged areas, and that health care professionals have concerns about the impact of recession and subsequent austerity measures on the quality of care provided. The Portuguese government no longer needs external assistance, but these findings suggest that measures are now needed to mitigate the damage incurred by the crisis and austerity.

Association between the Density of Physicians and Suicide Rates in Japan: Nationwide Ecological Study Using a Spatial Bayesian Model

BACKGROUND

Regional disparity in suicide rates is a serious problem worldwide. One possible cause is unequal distribution of the health workforce, especially psychiatrists. Research about the association between regional physician numbers and suicide rates is therefore important but studies are rare. The objective of this study was to evaluate the association between physician numbers and suicide rates in Japan, by municipality.

METHODS

The study included all the municipalities in Japan (n = 1,896). We estimated smoothed standardized mortality ratios of suicide rates for each municipality and evaluated the association between health workforce and suicide rates using a hierarchical Bayesian model accounting for spatially correlated random effects, a conditional autoregressive model. We assumed a Poisson distribution for the observed number of suicides and set the expected number of suicides as the offset variable. The explanatory variables were numbers of physicians, a binary variable for the presence of psychiatrists, and social covariates.

RESULTS

After adjustment for socioeconomic factors, suicide rates in municipalities that had at least one psychiatrist were lower than those in the other municipalities. There was, however, a positive and statistically significant association between the number of physicians and suicide rates.

CONCLUSIONS

Suicide rates in municipalities that had at least one psychiatrist were lower than those in other municipalities, but the number of physicians was positively and significantly related with suicide rates. To improve the regional disparity in suicide rates, the government should encourage psychiatrists to participate in community-based suicide prevention programs and to settle in municipalities that currently have no psychiatrists. The government and other stakeholders should also construct better networks between psychiatrists and non-psychiatrists to support sharing of information for suicide prevention.

More than just numbers: Suicide rates and the economic cycle in Portugal (1910-2013)

Suicides are a major concern for public health first and foremost because they are an avoidable cause of death. Moreover, they can be an indicator of self-reported emotional satisfaction and a good marker of overall well-being.

In this study we examine how different economic and social aspects affected Portuguese suicide rates for more than one hundred years (1910–2013). We place this exercise in the specific historical context of the XX and early XXI century in Portugal, emphasizing the role of economic recessions and expansions. Controlling for aspects like wars, health care availability, political instability, and demographic changes, we find a strong association between a decline in the growth rate of real output and an increase in suicide rates for the whole population. In this regard, while male suicide rates are non-negligibly influenced by economic downturns, female suicide rates are in general more responsive to a more open political and economic environment. Our results are robust if we consider the mid-term cyclical relationship.

Our findings advocate that, during recessions, public health responses should be seen as a crucial component of suicide prevention.

•

We study the relation between suicide rates and Portuguese output.

•

Our dataset has more than a century where we analyze several economic, social and political events.

•

Suicide rates tend to severely increase during times of recessions.

•

In general, males are more sensitive to GDP fluctuations than females.

•

Males react more, on average, to war events; while women are more affected by events related to social stability.

Poverty and suicide research in low- and middle-income countries: systematic mapping of literature published in English and a proposed research agenda

Approximately 75% of suicides occur in low- and middle-income countries (LMICs) where rates of poverty are high. Evidence suggests a relationship between economic variables and suicidal behaviour. To plan effective suicide prevention interventions in LMICs we need to understand the relationship between poverty and suicidal behaviour and how contextual factors may mediate this relationship. We conducted a systematic mapping of the English literature on poverty and suicidal behaviour in LMICs, to provide an overview of what is known about this topic, highlight gaps in literature, and consider the implications of current knowledge for research and policy. Eleven databases were searched using a combination of key words for suicidal ideation and behaviours, poverty and LMICs to identify articles published in English between January 2004 and April 2014. Narrative analysis was performed for the 84 studies meeting inclusion criteria. Most English studies in this area come from South Asia and Middle, East and North Africa, with a relative dearth of studies from countries in Sub-Saharan Africa. Most of the available evidence comes from upper middle-income countries; only 6% of studies come from low-income countries. Most studies focused on poverty measures such as unemployment and economic status, while neglecting dimensions such as debt, relative and absolute poverty, and support from welfare systems. Most studies are conducted within a risk-factor paradigm and employ descriptive statistics thus providing little insight into the nature of the relationship. More robust evidence is needed in this area, with theory-driven studies focussing on a wider range of poverty dimensions, and employing more sophisticated statistical methods.