COVID-19 vaccine effectiveness against hospitalization due to SARS-CoV-2: A test-negative design study based on Severe Acute Respiratory Infection (SARI) sentinel surveillance in Spain.

BACKGROUND: With the emergence of SARS-CoV-2, influenza surveillance systems in Spain were transformed into a new syndromic sentinel surveillance system. The Acute Respiratory Infection Surveillance System (SiVIRA in Spanish) is based on a sentinel network for acute respiratory infection (ARI) surveillance in primary care and a network of sentinel hospitals for severe ARI (SARI) surveillance in hospitals. METHODS: Using a test-negative design and data from SARI admissions notified to SiVIRA between January 1 and October 3, 2021, we estimated COVID-19 vaccine effectiveness (VE) against hospitalization, by age group, vaccine type, time since vaccination, and SARS-CoV-2 variant. RESULTS: VE was 89% (95% CI: 83-93) against COVID-19 hospitalization overall in persons aged 20 years and older. VE was higher for mRNA vaccines, and lower for those aged 80 years and older, with a decrease in protection beyond 3 months of completing vaccination, and a further decrease after 5 months. We found no differences between periods with circulation of Alpha or Delta SARS-CoV-2 variants, although variant-specific VE was slightly higher against Alpha. CONCLUSIONS: The SiVIRA sentinel hospital surveillance network in Spain was able to describe clinical and epidemiological characteristics of SARI hospitalizations and provide estimates of COVID-19 VE in the population under surveillance. Our estimates add to evidence of high effectiveness of mRNA vaccines against severe COVID-19 and waning of protection with time since vaccination in those aged 80 or older. No substantial differences were observed between SARS-CoV-2 variants (Alpha vs. Delta).

Geographical Variability in Mortality in Urban Areas: A Joint Analysis of 16 Causes of Death.

The geographical distribution of mortality has frequently been studied. Nevertheless, those studies often consider isolated causes of death. In this work, we aim to study the geographical distribution of mortality in urban areas, in particular, in 26 Spanish cities. We perform an overall study of 16 causes of death, considering that their geographical patterns could be dependent and estimating the dependence between the causes of death. We study the deaths in these 26 cities during the period 1996-2015 at the census tract level. A multivariate disease mapping model is used in order to solve the potential small area estimation problems that these data could show. We find that most of the geographical patterns found show positive correlations. This suggests the existence of a transversal geographical pattern, common to most causes of deaths, which determines those patterns to a higher/lower extent depending on each disease. The causes of death that exhibit that underlying pattern in a more prominent manner are chronic obstructive pulmonary disease (COPD), lung cancer, and cirrhosis for men and cardiovascular diseases and dementias for women. Such findings are quite consistent for most of the cities in the study. The high positive correlation found between geographical patterns reflects the existence of both high and low-risk areas in urban settings, in general terms for nearly all the causes of death. Moreover, the high-risk areas found often coincide with neighborhoods known for their high deprivation. Our results suggest that dependence among causes of death is a key aspect to be taken into account when mapping mortality, at least in urban contexts.

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.

Protocolo del estudio sobre el efecto de la crisis económica en la mortalidad, la salud reproductiva y las desigualdades en salud en España / Study protocol on the effect of the economic crisis on mortality and reproductive health and health inequalities in Spain

Se presenta el protocolo de los dos subestudios sobre el efecto de la crisis económica en la mortalidad, la salud reproductiva y las desigualdades en salud en España. Subestudio 1: describir la evolución de la mortalidad y la salud reproductiva entre 1990 y 2013 mediante un estudio longitudinal ecológico en las comunidades autónomas. Se analizarán los cambios producidos por la crisis económica en la tendencia de los indicadores de mortalidad y salud reproductiva utilizando datos panel (17 comunidades autónomas por años de estudio) y ajustando modelos de Poisson de efectos aleatorios. Subestudio 2: analizar las desigualdades según la privación socioeconómica en la mortalidad y en la salud reproductiva en varias zonas de España. Se realizará un estudio ecológico de tendencias en el cual se analizará la precrisis (1999-2003 y 2004-2008) y la crisis (2009-2013). Se ajustarán modelos de efectos aleatorios según Besag York y Mollié para estimar los indicadores de mortalidad y de salud reproductiva suavizados en secciones censales (AU)

The aim is to present the protocol of the two sub-studies on the effect of the economic crisis on mortality and reproductive health and health inequalities in Spain. Substudy 1: describe the evolution of mortality and reproductive health between 1990 and 2013 through a longitudinal ecological study in the Autonomous Communities. This study will identify changes caused by the economic crisis in trends or reproductive health and mortality indicators using panel data (17 Autonomous Communities per study year) and adjusting Poisson models with random effects variance. Substudy 2: analyse inequalities by socioeconomic deprivation in mortality and reproductive health in several areas of Spain. An ecological study analysing trends in the pre-crisis (1999-2003 and 2004-2008) and crisis (2009-2013) periods will be performed. Random effects models Besag York and Mollié will be adjusted to estimate mortality indicators softened in reproductive health and census tracts (AU)

Trends in socioeconomic inequalities in mortality in small areas of 33 Spanish cities.

BACKGROUND: In Spain, several ecological studies have analyzed trends in socioeconomic inequalities in mortality from all causes in urban areas over time. However, the results of these studies are quite heterogeneous finding, in general, that inequalities decreased, or remained stable. Therefore, the objectives of this study are: (1) to identify trends in geographical inequalities in all-cause mortality in the census tracts of 33 Spanish cities between the two periods 1996-1998 and 2005-2007; (2) to analyse trends in the relationship between these geographical inequalities and socioeconomic deprivation; and (3) to obtain an overall measure which summarises the relationship found in each one of the cities and to analyse its variation over time. METHODS: Ecological study of trends with 2 cross-sectional cuts, corresponding to two periods of analysis: 1996-1998 and 2005-2007. Units of analysis were census tracts of the 33 Spanish cities. A deprivation index calculated for each census tracts in all cities was included as a covariate. A Bayesian hierarchical model was used to estimate smoothed Standardized Mortality Ratios (sSMR) by each census tract and period. The geographical distribution of these sSMR was represented using maps of septiles. In addition, two different Bayesian hierarchical models were used to measure the association between all-cause mortality and the deprivation index in each city and period, and by sex: (1) including the association as a fixed effect for each city; (2) including the association as random effects. In both models the data spatial structure can be controlled within each city. The association in each city was measured using relative risks (RR) and their 95 % credible intervals (95 % CI). RESULTS: For most cities and in both sexes, mortality rates decline over time. For women, the mortality and deprivation patterns are similar in the first period, while in the second they are different for most cities. For men, RRs remain stable over time in 29 cities, in 3 diminish and in 1 increase. For women, in 30 cities, a non-significant change over time in RR is observed. However, in 4 cities RR diminishes. In overall terms, inequalities decrease (with a probability of 0.9) in both men (RR = 1.13, 95 % CI = 1.12-1.15 in the 1st period; RR = 1.11, 95 % CI = 1.09-1.13 in the 2nd period) and women (RR = 1.07, 95 % CI = 1.05-1.08 in the 1st period; RR = 1.04, 95 % CI = 1.02-1.06 in the 2nd period). CONCLUSIONS: In the future, it is important to conduct further trend studies, allowing to monitoring trends in socioeconomic inequalities in mortality and to identify (among other things) temporal factors that may influence these inequalities.

[Study protocol on the effect of the economic crisis on mortality and reproductive health and health inequalities in Spain]. / Protocolo del estudio sobre el efecto de la crisis económica en la mortalidad, la salud reproductiva y las desigualdades en salud en España.

The aim is to present the protocol of the two sub-studies on the effect of the economic crisis on mortality and reproductive health and health inequalities in Spain. Substudy 1: describe the evolution of mortality and reproductive health between 1990 and 2013 through a longitudinal ecological study in the Autonomous Communities. This study will identify changes caused by the economic crisis in trends or reproductive health and mortality indicators using panel data (17 Autonomous Communities per study year) and adjusting Poisson models with random effects variance. Substudy 2: analyse inequalities by socioeconomic deprivation in mortality and reproductive health in several areas of Spain. An ecological study analysing trends in the pre-crisis (1999-2003 and 2004-2008) and crisis (2009-2013) periods will be performed. Random effects models Besag York and Mollié will be adjusted to estimate mortality indicators softened in reproductive health and census tracts.

Lung cancer and urbanization level in a region of Southern Europe: influence of socio-economic and environmental factors.

BACKGROUND: This study analysed the distribution of lung cancer deaths in areas with different urbanization levels in the Madrid Region and whether such differences persisted when deprivation and air pollution were considered. METHODS: This was a population-based cross-sectional study covering lung cancer deaths (2001-07). The exposure indicators were: a deprivation index based on 2001 census data; and the daily mean NO2 measurement (2002-07), both at the census tract level. Analysis was stratified by sex and age group and the Poisson regression models were applied to obtain rate ratios (RRs). RESULTS: After adjustment for age, deprivation index and NO2, mortality was similar in the city and Greater Madrid areas and lower in the rural area for the over-64 age group (RR: 0.84 in men and RR: 0.66 in women, with respect to the city of Madrid), and significantly lower in the Greater Madrid area (RR: 0.84 in men and RR: 0.74 in women) and in the rural area (RR: 0.73 in men and RR: 0.51 in women) with respect to the city of Madrid for the under-65 age group. CONCLUSIONS: The most urbanized areas of the Madrid Region are characterized by higher lung cancer mortality.

Trends in socioeconomic inequalities in preventable mortality in urban areas of 33 Spanish cities, 1996-2007 (MEDEA project).

BACKGROUND: Preventable mortality is a good indicator of possible problems to be investigated in the primary prevention chain, making it also a useful tool with which to evaluate health policies particularly public health policies. This study describes inequalities in preventable avoidable mortality in relation to socioeconomic status in small urban areas of thirty three Spanish cities, and analyses their evolution over the course of the periods 1996-2001 and 2002-2007. METHODS: We analysed census tracts and all deaths occurring in the population residing in these cities from 1996 to 2007 were taken into account. The causes included in the study were lung cancer, cirrhosis, AIDS/HIV, motor vehicle traffic accidents injuries, suicide and homicide. The census tracts were classified into three groups, according their socioeconomic level. To analyse inequalities in mortality risks between the highest and lowest socioeconomic levels and over different periods, for each city and separating by sex, Poisson regression were used. RESULTS: Preventable avoidable mortality made a significant contribution to general mortality (around 7.5%, higher among men), having decreased over time in men (12.7 in 1996-2001 and 10.9 in 2002-2007), though not so clearly among women (3.3% in 1996-2001 and 2.9% in 2002-2007). It has been observed in men that the risks of death are higher in areas of greater deprivation, and that these excesses have not modified over time. The result in women is different and differences in mortality risks by socioeconomic level could not be established in many cities. CONCLUSIONS: Preventable mortality decreased between the 1996-2001 and 2002-2007 periods, more markedly in men than in women. There were socioeconomic inequalities in mortality in most cities analysed, associating a higher risk of death with higher levels of deprivation. Inequalities have remained over the two periods analysed. This study makes it possible to identify those areas where excess preventable mortality was associated with more deprived zones. It is in these deprived zones where actions to reduce and monitor health inequalities should be put into place. Primary healthcare may play an important role in this process.

Socioeconomic inequalities in cause-specific mortality in 15 European cities.

BACKGROUND: Socioeconomic inequalities are increasingly recognised as an important public health issue, although their role in the leading causes of mortality in urban areas in Europe has not been fully evaluated. In this study, we used data from the INEQ-CITIES study to analyse inequalities in cause-specific mortality in 15 European cities at the beginning of the 21st century. METHODS: A cross-sectional ecological study was carried out to analyse 9 of the leading specific causes of death in small areas from 15 European cities. Using a hierarchical Bayesian spatial model, we estimated smoothed Standardized Mortality Ratios, relative risks and 95% credible intervals for cause-specific mortality in relation to a socioeconomic deprivation index, separately for men and women. RESULTS: We detected spatial socioeconomic inequalities for most causes of mortality studied, although these inequalities differed markedly between cities, being more pronounced in Northern and Central-Eastern Europe. In the majority of cities, most of these causes of death were positively associated with deprivation among men, with the exception of prostatic cancer. Among women, diabetes, ischaemic heart disease, chronic liver diseases and respiratory diseases were also positively associated with deprivation in most cities. Lung cancer mortality was positively associated with deprivation in Northern European cities and in Kosice, but this association was non-existent or even negative in Southern European cities. Finally, breast cancer risk was inversely associated with deprivation in three Southern European cities. CONCLUSIONS: The results confirm the existence of socioeconomic inequalities in many of the main causes of mortality, and reveal variations in their magnitude between different European cities.

Health inequalities in European cities: perceptions and beliefs among local policymakers.

OBJECTIVE: To describe the knowledge and beliefs of public policymakers on social inequalities in health and policies to reduce them in cities from different parts of Europe during 2010 and 2011. DESIGN: Phenomenological qualitative study. SETTING: 13 European cities. PARTICIPANTS: 19 elected politicians and officers with a directive status from 13 European cities. MAIN OUTCOME: Policymaker's knowledge and beliefs. RESULTS: Three emerging discourses were identified among the interviewees, depending on the city of the interviewee. Health inequalities were perceived by most policymakers as differences in life-expectancy between population with economic, social and geographical differences. Reducing health inequalities was a priority for the majority of cities which use surveys as sources of information to analyse these. Bureaucracy, funding and population beliefs were the main barriers. CONCLUSIONS: The majority of the interviewed policymakers gave an account of interventions focusing on the immediate determinants and aimed at modifying lifestyles and behaviours in the more disadvantaged classes. More funding should be put towards academic research on effective universal policies, evaluation of their impact and training policymakers and officers on health inequalities in city governments.

Municipal interventions against inequalities in health: The view of their managers.

BACKGROUND: European city councils are increasingly developing interventions against health inequalities. There is little knowledge about how they are perceived. This study describes and analyses good practices and challenges for local interventions on inequalities in health through the narratives of European city managers. METHODS: A qualitative study was conducted. Each participating city (Amsterdam, Barcelona, Cluj-Napoca, Helsinki, Lisbon, London, Madrid, Rotterdam) selected interventions following these criteria: at least 6 months of implementation; an evaluation performed or foreseen; the reduction of health inequalities among their objectives, and only one of the interventions selected could be based on health care. Managers of these local interventions were interviewed following an outline. Eleven individual in-depth interviews describing nine local interventions were obtained. A thematic content analysis was performed. RESULTS: One or more local interventions against health inequalities were identified in each city. Most relied on quantitative data and were linked to national strategies. Few interventions addressed socio-economic determinants. Health care, employment and education were the main determinants addressed. With variable depth, evidence-base, participation and intersectorality were regular components of the interventions. Half of them targeted the city and half some deprived neighbourhoods. Few interventions had been evaluated. Scarcity of funding and sustainability of the projects were the main perceived barriers by the managers. CONCLUSIONS: City intervention managers were familiar with health inequalities and concepts as intersectorality, participation and evidence-based action, but others such as socioeconomic aims, gradient approach, evaluation and sustainability were not so widely applied. Managers' capacities and political leadership in governance for health should be reinforced.

Social differences in avoidable mortality between small areas of 15 European cities: an ecological study.

BACKGROUND: Health and inequalities in health among inhabitants of European cities are of major importance for European public health and there is great interest in how different health care systems in Europe perform in the reduction of health inequalities. However, evidence on the spatial distribution of cause-specific mortality across neighbourhoods of European cities is scarce. This study presents maps of avoidable mortality in European cities and analyses differences in avoidable mortality between neighbourhoods with different levels of deprivation. METHODS: We determined the level of mortality from 14 avoidable causes of death for each neighbourhood of 15 large cities in different European regions. To address the problems associated with Standardised Mortality Ratios for small areas we smooth them using the Bayesian model proposed by Besag, York and Mollié. Ecological regression analysis was used to assess the association between social deprivation and mortality. RESULTS: Mortality from avoidable causes of death is higher in deprived neighbourhoods and mortality rate ratios between areas with different levels of deprivation differ between gender and cities. In most cases rate ratios are lower among women. While Eastern and Southern European cities show higher levels of avoidable mortality, the association of mortality with social deprivation tends to be higher in Northern and lower in Southern Europe. CONCLUSIONS: There are marked differences in the level of avoidable mortality between neighbourhoods of European cities and the level of avoidable mortality is associated with social deprivation. There is no systematic difference in the magnitude of this association between European cities or regions. Spatial patterns of avoidable mortality across small city areas can point to possible local problems and specific strategies to reduce health inequality which is important for the development of urban areas and the well-being of their inhabitants.

Socioeconomic inequalities in mortality in 16 European cities.

AIMS: To explore inequalities in total mortality between small areas of 16 European cities for men and women, as well as to analyse the relationship between these geographical inequalities and their socioeconomic indicators. METHODS: A cross-sectional ecological design was used to analyse small areas in 16 European cities (26,229,104 inhabitants). Most cities had mortality data for a period between 2000 and 2008 and population size data for the same period. Socioeconomic indicators included an index of socioeconomic deprivation, unemployment, and educational level. We estimated standardised mortality ratios and controlled for their variability using Bayesian models. We estimated relative risk of mortality and excess number of deaths according to socioeconomic indicators. RESULTS: We observed a consistent pattern of inequality in mortality in almost all cities, with mortality increasing in parallel with socioeconomic deprivation. Socioeconomic inequalities in mortality were more pronounced for men than women, and relative inequalities were greater in Eastern and Northern European cities, and lower in some Western (men) and Southern (women) European cities. The pattern of excess number of deaths was slightly different, with greater inequality in some Western and Northern European cities and also in Budapest, and lower among women in Madrid and Barcelona. CONCLUSIONS: In this study, we report a consistent pattern of socioeconomic inequalities in mortality in 16 European cities. Future studies should further explore specific causes of death, in order to determine whether the general pattern observed is consistent for each cause of death.

Trends in socioeconomic inequalities in ischemic heart disease mortality in small areas of nine Spanish cities from 1996 to 2007 using smoothed ANOVA.

The aim of this study was to analyze the evolution of socioeconomic inequalities in mortality due to ischemic heart diseases (IHD) in the census tracts of nine Spanish cities between the periods 1996-2001 and 2002-2007. Among women, there are socioeconomic inequalities in IHD mortality in the first period which tended to remain stable or even increase in the second period in most of the cities. Among men, in general, no socioeconomic inequalities have been detected for this cause in either of the periods. These results highlight the importance of intra-urban inequalities in mortality due to IHD and their evolution over time.

Socioeconomic inequalities in injury mortality in small areas of 15 European cities.

This study analysed socioeconomic inequalities in mortality due to injuries in small areas of 15 European cities, by sex, at the beginning of this century. A cross-sectional ecological study with units of analysis being small areas within 15 European cities was conducted. Relative risks of injury mortality associated with the socioeconomic deprivation index were estimated using hierarchical Bayesian model. The number of small areas varies from 17 in Bratislava to 2666 in Turin. The median population per small area varies by city (e.g. Turin had 274 inhabitants per area while Budapest had 76,970). Socioeconomic inequalities in all injury mortality are observed in the majority of cities and are more pronounced in men. In the cities of northern and western Europe, socioeconomic inequalities in injury mortality are found for most types of injuries. These inequalities are not significant in the majority of cities in southern Europe among women and in the majority of central eastern European cities for both sexes. The results confirm the existence of socioeconomic inequalities in injury related mortality and reveal variations in their magnitude between different European cities.

Unperceived intimate partner violence and women's health

Objective: Women who experience intimate partner violence (IPV) often do not perceive themselves as abused. This study sought to estimate the health effects of unperceived IPV (uIPV), taking violence-free women as the reference, and to compare the effects of uIPV with those of perceived IPV (pIPV). Method: We performed a cross-sectional population study through telephone interviews of 2835 women aged 18 to 70 years living in the region of Madrid and having an ongoing intimate partner relationship or contact with a former partner in the preceding year. Based on 26 questions from the Conflict Tactics Scale-1 and the Enquête Nacional sur les Violences envers les Femmes en France and the question "Do you feel abused by your partner?" a variable was constructed in three categories, namely, the absence of IPV, uIPV and pIPV. Using logistic regression, we analyzed the association between health problems, medication use, health-service utilization and IPV (perceived and unperceived) vis-à-vis the absence of IPV. Results: There were 247 cases of uIPV and 96 of pIPV (prevalences of 8.8% and 3.4%, respectively). The multivariate analysis showed that a substantial number of the outcomes explored were associated with uIPV, pIPV, or both. The highest odds ratios (ORs) were obtained for depression (Patient Health Questionnaire-9 > 10) (uIPV: OR 3.4, 95% CI 2.4-3.8; and pIPV: 4.1, 95%CI 2.5-6.8). In most problems, the ORs did not significantly differ between the two types of IPV. Conclusions: uIPV is 2.6 times more frequent than pIPV and is associated with at least as many health problems as pIPV (AU)

Objetivo: Las mujeres que sufren violencia de pareja (VPM) a menudo no se perciben a sí mismas como maltratadas. Se pretende estimar los efectos en salud de la violencia no percibida (VPMnp), tomando a las mujeres libres de violencia como referencia, y comparar con los efectos de la violencia percibida (VPMp). Método: Estudio transversal poblacional mediante encuesta telefónica a 2835 mujeres de 18 a 70 años de edad residentes en la Comunidad de Madrid, con relación de pareja o contacto con la ex pareja en el último año. Basándonos en 26 preguntas de la Conflict Tactic Scale-1 y de la Enquête Nacional sur les Violences envers les Femmes en France, y en la pregunta "¿se siente usted maltratada?", se construyó una variable en tres categorías: ausencia de VPM, VPMnp y VPMp. Se estudió la asociación de problemas de salud, consumo de medicamentos y frecuentación de servicios con la VPM (bien percibida o no) respecto a la ausencia de VPM, mediante regresión logística. Resultados: Se encontraron 247 casos de VPMnp y 96 de VPMp (prevalencia del 8,8% y el 3,4%, respectivamente). En el análisis multivariado, un gran número de problemas resultaron asociados con la VPMnp, con la VPMp o con ambas. Las odds ratio (OR) más altas se obtuvieron para la depresión (PHQ9 ≥ 10) (VPMnp: OR 3,4, intervalo de confianza del 95% [IC95%] 2,4-3,8; VPMp: OR 4,1, IC95% 2,5-6,8). En la mayoría de los problemas, las OR no mostraron diferencias significativas entre los dos tipos de VPM. Conclusiones: La VPMnp es 2,6 veces más frecuente que la VPMp y se asocia al menos a tantos problemas de salud como la VPMp (AU)

Do socioeconomic inequalities in mortality vary between different Spanish cities? a pooled cross-sectional analysis.

BACKGROUND: The relationship between deprivation and mortality in urban settings is well established. This relationship has been found for several causes of death in Spanish cities in independent analyses (the MEDEA project). However, no joint analysis which pools the strength of this relationship across several cities has ever been undertaken. Such an analysis would determine, if appropriate, a joint relationship by linking the associations found. METHODS: A pooled cross-sectional analysis of the data from the MEDEA project has been carried out for each of the causes of death studied. Specifically, a meta-analysis has been carried out to pool the relative risks in eleven Spanish cities. Different deprivation-mortality relationships across the cities are considered in the analysis (fixed and random effects models). The size of the cities is also considered as a possible factor explaining differences between cities. RESULTS: Twenty studies have been carried out for different combinations of sex and causes of death. For nine of them (men: prostate cancer, diabetes, mental illnesses, Alzheimer's disease, cerebrovascular disease; women: diabetes, mental illnesses, respiratory diseases, cirrhosis) no differences were found between cities in the effect of deprivation on mortality; in four cases (men: respiratory diseases, all causes of mortality; women: breast cancer, Alzheimer's disease) differences not associated with the size of the city have been determined; in two cases (men: cirrhosis; women: lung cancer) differences strictly linked to the size of the city have been determined, and in five cases (men: lung cancer, ischaemic heart disease; women: ischaemic heart disease, cerebrovascular diseases, all causes of mortality) both kinds of differences have been found. Except for lung cancer in women, every significant relationship between deprivation and mortality goes in the same direction: deprivation increases mortality. Variability in the relative risks across cities was found for general mortality for both sexes. CONCLUSIONS: This study provides a general overview of the relationship between deprivation and mortality for a sample of large Spanish cities combined. This joint study allows the exploration of and, if appropriate, the quantification of the variability in that relationship for the set of cities considered.

Unperceived intimate partner violence and women's health.

OBJECTIVE: Women who experience intimate partner violence (IPV) often do not perceive themselves as abused. This study sought to estimate the health effects of unperceived IPV (uIPV), taking violence-free women as the reference, and to compare the effects of uIPV with those of perceived IPV (pIPV). METHOD: We performed a cross-sectional population study through telephone interviews of 2835 women aged 18 to 70 years living in the region of Madrid and having an ongoing intimate partner relationship or contact with a former partner in the preceding year. Based on 26 questions from the Conflict Tactics Scale-1 and the Enquête Nacional sur les Violences envers les Femmes en France and the question "Do you feel abused by your partner?" a variable was constructed in three categories, namely, the absence of IPV, uIPV and pIPV. Using logistic regression, we analyzed the association between health problems, medication use, health-service utilization and IPV (perceived and unperceived) vis-à-vis the absence of IPV. RESULTS: There were 247 cases of uIPV and 96 of pIPV (prevalences of 8.8% and 3.4%, respectively). The multivariate analysis showed that a substantial number of the outcomes explored were associated with uIPV, pIPV, or both. The highest odds ratios (ORs) were obtained for depression (Patient Health Questionnaire-9≥10) (uIPV: OR 3.4, 95% CI 2.4-3.8; and pIPV: 4.1, 95%CI 2.5-6.8). In most problems, the ORs did not significantly differ between the two types of IPV. CONCLUSIONS: uIPV is 2.6 times more frequent than pIPV and is associated with at least as many health problems as pIPV.

Comparison of health policy documents of European cities: are they oriented to reduce inequalities in health?

Health policies are specified in documents that contain values, objectives, strategies, and interventions to be implemented. The objective of our study was to analyse health policy documents of six European cities and one county council published around 2010 to determine (i) how cities conceptualize health inequalities, and (ii) what strategies are proposed to reduce them. We performed a qualitative document analysis. We selected Health or Health Inequalities policy documents and analysed the following aspects: general characteristics of the document, inclusion and definition of health inequalities, promotion of good governance and participation, number of objectives, and evaluation. We also described specific objectives. Rotterdam, London, and Stockholm use a conceptual framework. Two of them define health inequalities as a social gradient. Intersectoral action, participation, and evaluation are included in most documents. Interventions focus mainly on the socioeconomic context.