Social inequalities in self-perceived health in Chile, does the urban environment matter?: a cross-sectional study.

BACKGROUND: The health of a population is determined by urban factors such as the physical, social and safety environment, which can be modified by urban regeneration policies. The aim of this study was to analyze the associations of elements of the social, physical and safety environment of the neighborhood in the urban context with self-perceived health (SPH), according to axes of inequality, such as gender and educational level in Chile in 2016. METHODS: Cross-sectional study using a nationally representative population-based survey of Chile. We used data from the 2016 National Survey of Quality of Life and Health. Poor SPH in the urban population older than 25 years was analyzed in relation to social, physical and safety environment variables. Poisson multilevel regression models were estimated to obtain prevalence ratios (PR) and their respective 95% confidence intervals (95%CI). All analyses were stratified by sex and educational level. RESULTS: SPH was worse in women than in men, especially in those with a lower education level. Poor SPH was associated with lack of support networks (PR = 1.4; 95%CI = 1.1-1.7), non-participation in social organizations (PR = 1.3; 95%CI = 1.1-1.6) and perceived problems with the quality of public space (PR = 1.3; 95%CI = 1.2-1.5) in women with a medium-high educational level and with a feeling of not belonging to the neighborhood (PR = 1.5; 95%CI = 1.2-1.8) and the perception of pollution problems (PR = 1.2; 95%CI = 1.0-1.4) in women with a low educational level. A feeling of unsafety was associated with both educational levels (PR = 1.3; 95%CI = 1.0-1.5). Poor SPH was associated with the feeling of not belonging (PR = 1.7; 95%CI = 1.2-2.5), and unsafety (PR = 2.1; 95%CI = 1.8-2.4) in men with a medium-high educational level, while there were fewer associations in men with a lower education level. CONCLUSIONS: Urban interventions are recommended to improve the health of the resident population and should take into account axes of inequality.

A City Surveillance System for Social Health Inequalities: The Case of Barcelona.

INTRODUCTION: In the past, health inequalities were not prioritised in the political agenda of Barcelona. The change of city government (2015) was an opportunity to develop a Surveillance System for Social Health Inequalities in the city, which is described in this article. METHODS: The design of the Surveillance System formed part of the Joint Action for Health Equity in Europe (JAHEE), funded by the European Union. Various steps were considered by the experts to set up the System: define its objectives, target population, domains and indicators, and sources of information; perform data analysis; implement and disseminate the system; define the evaluation; and perform regular data updates. RESULTS: The System considers the following domains: social determinants of health, health-related with behaviours, use of healthcare, and health outcomes, and includes eight indicators. As axes of inequality, the experts chose sex, age, social class, country of origin, and geographical area. The Surveillance System for Social Health Inequalities is presented on a website including different types of figures. CONCLUSION: The methodology used to implement the Surveillance System can be used to implement similar systems in other urban areas around the world.

Neighbourhood income inequalities in mental health in Barcelona 2001-2016: a Bayesian smoothed estimate.

OBJECTIVE: Obtaining reliable health estimates at the small area level (such as neighbourhoods) using survey data usually poses the problem of small sample sizes. To overcome this limitation, we explored smoothing techniques in order to estimate poor mental health prevalence at the neighbourhood level and analyse its profile by income in Barcelona city (Spain). METHOD: A Bayesian smoothing model with a logit-normal transformation was applied to four repeated cross-sectional waves of the Barcelona health survey for 2001, 2006, 2011 and 2016. Mental health status was identified from the 12-item General Health Questionnaire. Income inequalities were analysed with neighbourhood income in quantiles for each year and trends in the pooled analysis. RESULTS: The prevalence of poor mental health ranged from 14.6% in 2001 to 18.9% in 2016. The yearly difference between neighbourhoods was 12.4% in 2001, 16.7% in 2006, 14.2% in 2011, and 20.0% in 2016. The odds ratio and 95% credible interval (95%CI) of experiencing poor mental health was 1.40 times higher (95%CI: 1.02-1.91) in less advantaged neighbourhoods than in more advantaged neighbourhoods in 2001, 1.61 times higher (95%CI: 1.01-2.59) in 2006 and 2.31 times higher (95%CI: 1.57-3.40) in 2016. CONCLUSIONS: This study shows that the Bayesian smoothed techniques allows detection of inequalities in health in neighbourhoods and monitoring of interventions against them. In Barcelona, mental health problems are more prevalent in low-income neighbourhoods and raised in 2016.

Socioeconomic Inequalities in Small-for-Gestational-Age Births Before and During the Economic Crisis: An Ecologic Study of Trends in 13 Spanish Cities.

Economic recessions can increase socioeconomic inequalities in health. The objective of this study was to analyze socioeconomic inequalities in small-for-gestational-age (SGA) births before and during the Spanish economic crisis. We conducted an ecological study of trends based on 2 periods before the crisis (1999-2003 and 2004-2008) and another during the crisis (2009-2013). The study population was Spanish women resident in 13 cities who had given birth during 1999-2013. The prevalence of SGA was calculated for each census tract. A hierarchical Bayesian model was used to obtain the prevalence ratio (PR) and 95% credible intervals (CI). We analyzed the association between SGA and socioeconomic deprivation in each period for each city and for 3 age groups. The PR was above 1 and statistically significant for all 3 time periods in most of the 13 cities. The differences in PR between periods were only statistically significant for Madrid (PR = 1.56, 95% CI 1.48-1.65 for 1999-2003; PR = 1.28, 95% CI 1.19-1.38 for 2004-2008) and Barcelona (PR = 0.99, 95% CI 0.87-1.12 for 2004-2008; PR = 1.20, 95% CI 1.05-1.36 for 2009-2013). Socioeconomic inequalities in SGA births in small areas (census tracts) of most Spanish cities studied remained stable before and during the economic crisis.

Socioeconomic inequalities in self-assessed health and mental health in Barcelona, 2001-2016.

OBJECTIVE: Previous research has found persistent socioeconomic inequalities in health outcomes at the national level, with different patterns after the economic crisis. However, inequalities in urban areas are also important. This study analyses socioeconomic inequalities in self-assessed health and mental health in the city of Barcelona. METHOD: Repeated cross-sectional design using quinquennial data from the Barcelona Health Surveys carried out in 2001, 2006, 2011 and 2016 for the population older than 22 years. Robust Poisson regressions models were used to compute socioeconomic gradients and relative (RII) and slope indexes of inequality (SII) by occupational social class, with stratification by sex. RII and SII were also obtained with further adjustment by employment situation. RESULTS: A consistent socioeconomic gradient was found for all years except for 2011. Relative and absolute inequalities followed a V-shape, showing a drop during the economic crisis but widening thereafter to recover pre-crisis figures for self-assessed health and widening for mental health, in both relative and absolute terms in 2016. Adjustment for employment situation reduces inequalities but a large part of these inequalities remains, with variability across years. CONCLUSIONS: The lasting effects of the 2008 economic crisis and the austerity programmes imposed since then may have contributed to the persistence of socioeconomic inequalities in self-assessed health and the widening of those for mental health.

Socioeconomic Inequalities in Chronic Liver Diseases and Cirrhosis Mortality in European Urban Areas before and after the Onset of the 2008 Economic Recession.

OBJECTIVE: To analyse the trends in chronic liver diseases and cirrhosis mortality, and the associated socioeconomic inequalities, in nine European cities and urban areas before and after the onset of the 2008 financial crisis. METHODS: This is an ecological study of trends in three periods of time: two before (2000-2003 and 2004-2008), and one after (2009-2014) the onset of the economic crisis. The units of analysis were the geographical areas of nine cities or urban areas in Europe. We analysed chronic liver diseases and cirrhosis standardised mortality ratios, smoothing them with a hierarchical Bayesian model by each city, area, and sex. An ecological regression model was fitted to analyse the trends in socioeconomic inequalities, and included the socioeconomic deprivation index, the period, and their interaction. RESULTS: In general, chronic liver diseases and cirrhosis mortality rates were higher in men than in women. These rates decreased in all cities during the financial crisis, except among men in Athens (rates increased from 8.50 per 100,000 inhabitants during the second period to 9.42 during the third). Socioeconomic inequalities in chronic liver diseases and cirrhosis mortality were found in six cities/metropolitan areas among men, and in four among women. Finally, in the periods studied, such inequalities did not significantly change. However, among men they increased in Turin and Barcelona and among women, several cities had lower inequalities in the third period. CONCLUSIONS: There are geographical socioeconomic inequalities in chronic liver diseases and cirrhosis mortality, mainly among men, that did not change during the 2008 financial crisis. These results should be monitored in the long term.

The Association of Energy Poverty with Health and Wellbeing in Children in a Mediterranean City.

Children have been identified as being particularly vulnerable to energy poverty (EP), but little empirical research has addressed the effect of EP on children's health and wellbeing, especially in southern Europe. In this work we aimed to provide an in-depth description of the distribution of EP by sociodemographic, socioeconomic and housing characteristics, as well as to analyse the association between EP and health and wellbeing in children in Barcelona. We performed a cross-sectional study using data from the Barcelona Health Survey for 2016 (n = 481 children under 15 years). We analysed the association between EP and health outcomes through prevalence differences and prevalence ratios (PR) and their 95% confidence interval (CI), using Poisson regression models with robust variance. In Barcelona, 10.6% of children were living in EP and large inequalities were found by sociodemographic, socioeconomic and housing characteristics. EP was strongly associated with poor health in children (PR (95% CI): 7.70 (2.86, 20.72)). Living in EP was also associated with poor mental health (PR (95% CI): 2.46 (1.21, 4.99)) and with more cases of asthma (PR (95% CI): 4.19 (1.47, 11.90)) and overweight (PR (95% CI): 1.50 (1.05, 2.15)) in children. It is urgent to develop specific measures to avoid such serious and unfair health effects on children.

Energy poverty and health: Trends in the European Union before and during the economic crisis, 2007-2016.

The aim of this study is to analyse the time trends in the European Union (EU) before and during the economic crisis in 1) the energy poverty (EP) prevalence; 2) the association between EP and health and 3) the impact of EP on health. We analyse trends among women and men in two EU macro regions, defined by a novel index of structural vulnerability to EP. The study shows how EP and its impact on health worsened during the economic crisis and identifies groups at higher risk such as women and people living in Mediterranean and Eastern European countries, which have been found to be countries with higher structural vulnerability to EP.

Socioeconomic Inequalities in COVID-19 in a European Urban Area: Two Waves, Two Patterns.

Background: The objective of this paper is to analyze social inequalities in COVID-19 incidence, stratified by age, sex, geographical area, and income in Barcelona during the first two waves of the pandemic. Methods: We collected data on COVID-19 cases confirmed by laboratory tests during the first two waves of the pandemic (1 March to 15 July and 16 July to 30 November, 2020) in Barcelona. For each wave and sex, we calculated smooth cumulative incidence by census tract using a hierarchical Bayesian model. We analyzed income inequalities in the incidence of COVID-19, categorizing the census tracts into quintiles based on the income indicator. Results: During the two waves, women showed higher COVID-19 cumulative incidence under 64 years, while the trend was reversed after that threshold. The incidence of the disease was higher in some poor neighborhoods. The risk ratio (RR) increased in the poorest groups compared to the richest ones, mainly in the second wave, with RR being 1.67 (95% Credible Interval-CI-: 1.41-1.96) in the fifth quintile income group for men and 1.71 (95% CI: 1.44-1.99) for women. Conclusion: Our results indicate the existence of inequalities in the incidence of COVID-19 in an urban area of Southern Europe.

Effects of an urban regeneration program on related social determinants of health in Chile: A pre-post intervention study.

Urban regeneration programs, such as "Programa Quiero mi Barrio" (PQMB) that is carried out in neighborhoods with greater deprivation across Chile, can improve health and quality of life in socio-economically deprived neighborhoods. The aim of this study was to analyze the effects of this program on the physical, social, and safety environments of neighborhoods intervened between 2011 and 2018, according to gender and socioeconomic position. Four indices and six sub-indices were constructed to measure physical, social, and safety environments of the neighborhoods. We conducted a pre- and post-intervention analysis with 2095 people using linear models adjusted for repeated measurements. After the intervention, participants had an improved perception of physical, social, and safety environments, as well as the use of spaces, particularly among women and people with higher levels of education. Therefore, the PQMB program is a form of public policy that can improve the quality of life and health of people living in underprivileged areas.

Trends in teenage motherhood in Ecuador: challenges and inequalities.

OBJECTIVES: To describe trends in teenage motherhood (TM), based on the socioeconomic groups teenagers belong to, and factors related to their first experience of heterosexual intercourse (FEHI). We took into consideration women aged 20-24 years, comparing three surveys from 1999, 2004, and 2012. METHODS: We obtained data from the Ecuadorian Demographic and Health Surveys about 4,696 women aged 20-24 years who had given birth as teenagers. Prevalence ratios and their confidence intervals (95% CI) were calculated to estimate changes in socioeconomic inequalities and factors related to the FEHI. RESULTS: The prevalence of TM increased from 48% in 1999 to 60% in 2012 among women with complete primary education. The social gradient among socioeconomic groups were sustained. We detected no changes in the socioeconomic inequalities characterizing TM, and in the factors related to the FEHI across the three studies in Ecuador. CONCLUSIONS: Socioeconomic inequalities in TM and disadvantageous circumstances at FEHI remained unchanged for 14 years. Some factors are vital for reducing teenage motherhood in Ecuador: gender-equitable economic development, access to comprehensive-sexual education, contraception, health services, and safe abortion.

The association of energy poverty with health, health care utilisation and medication use in southern Europe.

Energy poverty (EP) is defined as the inability of a household to secure a socially and materially required level of energy services in the home. The main objective of this study was to analyse the association between EP and distinct indicators of health status, health services utilisation and medication use in southern Europe, using the city of Barcelona as a case study. We conducted a cross-sectional study using the data of the Barcelona Health Survey for 2016 (n = 3519, 53.3% women). We calculated EP percentages according to age, country of birth and social class. We analysed the association between EP and 26 health-related indicators through prevalence ratios (PR), and quantified the impact of EP on health at the population level by calculating the percentage of population attributable risk (PAR%). In Barcelona, 13.3% of women and 11.3% of men experienced EP. The most frequently affected groups were people born in low- and middle-income countries, those from more disadvantaged social classes, and women aged 65 years and older. We found a strong association between EP and worse health status, as well as higher use of health services and medication. For example, compared with women without EP, those with EP reported poor mental health 1.9 (95% CI: 1.6-2.4) times more frequently. Compared with men without EP, those with EP reported poor mental health 2.1 (95% CI: 1.6-2.8) times more frequently. The combination of high EP prevalence and the strong association between EP and negative health outcomes resulted in high PAR%, indicating the striking impact of EP on health and health services at the population level. EP is an important public health problem in southern European urban contexts that should be included in policy priorities in order to address its structural causes and minimise its unfair and avoidable health effects.

Socio-economic inequalities on cancer mortality in nine European areas: The effect of the last economic recession.

BACKGROUND: The effect of inequalities aggravated by economic recessions in the mortality rates of certain diseases has been previously described. In this study, we analyzed the relationship between socio-economic deprivation and cancer mortality. We focused on lung, colon, prostate, and breast cancers in nine European urban areas over three periods: two before (2000-2003 and 2004-2008) and one after (2009-2014) the onset of the 2008 financial crisis. METHODS: This is an ecological study of trends. The units of analysis were small areas within nine European urban areas. We used a composite deprivation index as a socio-economic indicator. As a mortality indicator, we used the smoothed standardized mortality ratio, calculated using the hierarchical Bayesian model proposed by Besag, York and Mollié. To analyze the evolution of socio-economic inequalities, we fitted an ecological regression model that included the socio-economic indicator, the period of time, and the interaction between these terms. RESULTS: In men, socio-economic inequalities in all-cancer and lung cancer mortality were observed in most of the cities studied, but did not increase after the onset of the economic crisis. In women, only two cities (Stockholm and London) showed socio-economic inequalities in all-cancer and lung cancer mortality; there was also no increase in inequalities. CONCLUSIONS: Our results did not validate our hypothesis that inequalities increase in times of crisis. However, they emphasize the importance of socio-economic measurements for understanding mortality inequalities, and can be used to inform prevention strategies and help plan local health programs aimed at reducing health inequalities.

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.

Social Inequalities in Fertility in Women Residing in Urban Neighbourhoods in Spain: A Multilevel Approach.

BACKGROUND: Reproductive health inequalities tend to be more marked in large cities because they include neighbourhoods with unequal social and community networks, resources and opportunities. The aim was to describe social inequalities in fertility patterns among women who gave birth between 2007 and 2016 in the city of Barcelona (Spain) by jointly evaluating the effect of individual and socioeconomic neighbourhood characteristics. METHODS: We conducted a multilevel study of women's individual characteristics (age, educational attainment, and country of origin) and neighbourhood characteristics (disposable household income, percentage of unemployment and percentage of foreigners). RESULTS: Multilevel modelling revealed significant variability in fertility across neighbourhoods after adjustment for individual explanatory variables. The fertility rate (FR) was higher in better educated women (adjusted relative risk: aRR 2.76), those aged 30-39 years (aRR 2.13), and in those born in Spain in relation to their respective reference groups. The FR was lowest in women with upper to post-secondary, non-tertiary education (aRR 0.86) who were born in high income countries (aRR 0.57). Women living in neighbourhoods with a low income (aRR 1.46) and with a higher unemployment (aRR 1.33) were more likely to have children. In contrast, women living in neighbourhoods with a lower percentage of foreigners had the lowest FR (aRR 0.81). CONCLUSIONS: The neighbourhood's characteristics played an important role in fertility patterns, independently of women's individual characteristics. At the contextual level, the highest FR was found in the poorest settings, highlighting inequalities. At the individual level, the FR was highest among women with higher education and in their thirties.

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.

Studying Geographic Inequalities in Mortality in Contexts with Deficient Data Sources: Lessons from Ecuador.

BACKGROUND: In Ecuador, there are inequalities in the completeness and quality of the mortality registry between men and women and among geographical areas. Consequently, using cause of death statistics leads to several difficulties. Our aim was to analyze geographical inequalities in mortality due to some of the main specific causes of death in the provinces of Ecuador (2001-2016) after correction for the deficiencies found in the mortality registry. METHODS: This ecologic study used mortality data from 2001 to 2016 for the 22 provinces of Ecuador at the beginning of the study period. We assessed completeness using death distribution methods for the intercensal period 2001-2010. We assessed quality by estimating the percentage of garbage codes for the entire study period. We corrected mortality using completeness as a correction factor and applying a garbage code redistribution protocol. We estimated age-standardized mortality ratios in the provinces of Ecuador for men and women, before and after applying the correction methods. RESULTS: We found substantial changes in the number of deaths due to the selected causes after garbage code redistribution and correction for completeness. These changes corresponded to the deficiencies in completeness and quality found in the study areas and the manner in which garbage codes were redistributed to each of the studied causes. We observed changes in the geographical patterns of mortality due to specific causes. CONCLUSIONS: Correcting deficiencies in the mortality registry resulted not only in changes in the number of deaths but also in the geographical patterns of mortality in Ecuador.

Developing a deprivation index to study geographical health inequalities in Ecuador.

OBJECTIVES: To develop a deprivation index to study health inequalities in 221 areas of Ecuador, to describe the pattern of deprivation in Ecuador, and to explore the applications of the index to study health inequalities by analysing the association between deprivation and mortality in the study areas. METHODS: We performed principal component analyses of available indicators of the 221 cantons of Ecuador. A set of 41 sociodemographic, social capital, and subjective well-being variables were obtained from the 2010 National Population Census and the National Living Conditions Survey 2013-2014. To explore the application of the index in public health, the association between the index and standardised mortality ratios was estimated through a Poisson regression model. RESULTS: The final index was constructed with 17 indicators. The first component explained 51.8% of the total variance of the data. A geographic pattern and a positive association of the index with the standardised mortality ratios of the cantons were observed in both men and women. CONCLUSIONS: We constructed a deprivation index that can identify disadvantaged areas in Ecuador. This index could be a valuable tool for the detection of vulnerabilised populations and the development of interventions and policies adapted to local needs.

Socioeconomic inequalities in suicide mortality in Barcelona during the economic crisis (2006-2016): a time trend study.

OBJECTIVES: This study aimed to analyse trends in socioeconomic inequalities in suicide mortality in Barcelona before and after the start of the economic crisis that started at the end of 2008, including both individual factors and contextual factors of the deceased's neighbourhood of residence. DESIGN: This is a trend study of three time periods: pre-economic crisis (2006-2008), early crisis (2009-2012) and late crisis (2013-2016). SETTING: Total Barcelona residents between 2006 and 2016 (≥25 years of age) and death data derived from the Judicial Mortality Registry of Barcelona. PARTICIPANTS: 996 deaths by suicide between 2006 and 2016 were analysed. PRIMARY AND SECONDARY OUTCOME MEASURES: The outcomes were age-standardised suicide mortality rates and the associations (relative and absolute risk) between suicide mortality and individual and contextual characteristics for the three time periods. RESULTS: From 2006 to 2008, men with a lower educational level were more likely to commit suicide than better educated men (relative risk (RR)=1.46; 95% CI 1.11 to 1.91). This difference disappeared after the onset of the crisis. We found no differences among women. From 2013 to 2016, suicide risk increased among men living in neighbourhoods with higher unemployment levels (RR=1.57; 95% CI 1.09 to 2.25) and among women living in neighbourhoods with a higher proportion of elderly people living alone (RR=2.13; 95% CI 1.15 to 3.93). CONCLUSIONS: We observed risks for suicide among men living in neighbourhoods of Barcelona with higher unemployment levels and among women living in neighbourhoods with a higher proportion of elderly people living alone. Inequalities in suicide mortality according to educational level tended to disappear during the crisis among men. Thus, it is important to continue to monitor suicide determinants especially in times of economic crisis.