The Role of Contextual Socioeconomic Circumstances and Neighborhood Poverty Segregation on Mortality in 4 European Cities.

Several studies have recognized the health disadvantage of residents in socioeconomically deprived neighborhoods, independent of the influence of individual socioeconomic conditions. The effect of neighborhood socioeconomic deprivation on general mortality has appeared heterogeneous among the cities analyzed: the underlying mechanisms have been less empirically explored, and explanations for this heterogeneous health effect remain unclear. The present study aimed to: (1) analyze the distribution of socioeconomically disadvantaged persons in neighborhoods of 4 European cities-Turin, Barcelona, Stockholm and Helsinki-trying to measure segregation of residents according to their socioeconomic conditions. Two measuring approaches were used, respectively, through dissimilarity index and clustering estimated from Bayesian models. (2) Analyze the distribution of mortality in the above mentioned cities, trying to disentangle the independent effects of both neighborhood socioeconomic deprivation and neighborhood segregation of residents according to their socioeconomic conditions, using multilevel models. A significantly higher risk of death was observed among residents in more deprived neighborhoods in all 4 cities considered, slightly heterogeneous across them. Poverty segregation appeared to be slightly associated with increasing mortality in Turin and, among females and only according to dissimilarity, in Barcelona. Few studies have explored the health effects of social clustering, and results could inform urban policy design with regard to social mix.

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.

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.

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.

Educational inequalities in mortality in northern, mid and southern Italy and the contribution of smoking.

BACKGROUND: Previous studies have shown that mortality inequalities are smaller in Italy than in most European countries. This may be due to the weak association between socioeconomic status and smoking in Italy. However, most published studies were based on data from a single city in northern Italy (Turin). In this study, we aimed to assess the size of mortality inequalities in Italy as a whole, their geographical pattern of variation within Italy, and the contribution of smoking to these inequalities. METHODS: Participants in the National Health Interview Survey 1999-2000 were followed up for mortality until 31 December 2007. Using Cox regression, we computed the age-adjusted relative index of inequality (RII) for all-cause mortality with and without controlling for smoking status and intensity. Education was used as an indicator of socioeconomic status. RESULTS: Among 72,762 individuals aged 30-74 years at baseline, 4092 died during the follow-up. The age-adjusted RII of mortality was 1.69 (95% CI 1.44 to 2.00) among men and 1.43 (95% CI 1.13 to 1.82) among women. Among men, inequalities were larger in both northern and southern regions than in the middle of the country, whereas among women they were larger in the south. After controlling for smoking RII decreased to 1.63 (95% CI 1.38 to 1.92) among men and increased to 1.54 (95% CI 1.21 to 1.96) among women. The geographical variation in mortality inequalities was not affected by smoking adjustment. CONCLUSIONS: Mortality inequalities in Italy are smaller than in most European countries. This is due, among other factors, to the weak socioeconomic pattern of smoking over the past decades in Italy.

Social inequalities in total and cause-specific mortality of a sample of the Italian population, from 1999 to 2007.

BACKGROUND: There is extensive documentation on social inequalities in mortality across Europe, showing heterogeneity among countries. Italy contributed to this comparative research, through longitudinal systems from northern or central cities of the country. This study aims to analyse educational inequalities in general and cause-specific mortality in a sample of the Italian population. METHODS: Study population was selected within a cohort of 123,056 individuals, followed up for mortality through record linkage with national archive of death certificates for the period 1999-2007. People aged between 25 and 74 years were selected (n = 81,763); relative risks of death by education were estimated through Poisson models, stratified according to sex and adjusted for age and geographic area of residence. Heterogeneity of risks by area of residence was evaluated. RESULTS: Men and women with primary education or less show 79% and 63% higher mortality risks, respectively, compared with graduates. Mortality risks seem to frequently increase with decreasing education, with a significant linear trend among men. For men, social inequalities appear related to mortality due to diseases of the circulatory system and to all neoplasms, whereas for women, they are related to inequalities in cancer mortality. CONCLUSIONS: Results from the first follow-up of a national sample highlight that Italy presents significant differences in mortality according to the socio-economic conditions of both men and women. These results not only challenge policies aimed at redistributing resources to individuals and groups, but also those policies that direct programmes and resources for treatment and prevention according to the different health needs.

Income level and chronic ambulatory care sensitive conditions in adults: a multicity population-based study in Italy.

BACKGROUND: A relationship between quality of primary health care and preventable hospitalizations has been described in the US, especially among the elderly. In Europe, there has been a recent increase in the evaluation of Ambulatory Care Sensitive Conditions (ACSC) as an indicator of health care quality, but evidence is still limited. The aim of this study was to determine whether income level is associated with higher hospitalization rates for ACSC in adults in a country with universal health care coverage. METHODS: From the hospital registries in four Italian cities (Turin, Milan, Bologna, Rome), we identified 9384 hospital admissions for six chronic conditions (diabetes, hypertension, congestive heart failure, angina pectoris, chronic obstructive pulmonary disease, and asthma) among 20-64 year-olds in 2000. Case definition was based on the ICD-9-CM coding algorithm suggested by the Agency for Health Research and Quality - Prevention Quality Indicators. An area-based (census block) income index was used for each individual. All hospitalization rates were directly standardised for gender and age using the Italian population. Poisson regression analysis was performed to assess the relationship between income level (quintiles) and hospitalization rates (RR, 95% CI) separately for the selected conditions controlling for age, gender and city of residence. RESULTS: Overall, the ACSC age-standardized rate was 26.1 per 10.000 inhabitants. All conditions showed a statistically significant socioeconomic gradient, with low income people being more likely to be hospitalized than their well off counterparts. The association was particularly strong for chronic obstructive pulmonary disease (level V low income vs. level I high income RR = 4.23 95%CI 3.37-5.31) and for congestive heart failure (RR = 3.78, 95% CI = 3.09-4.62). With the exception of asthma, males were more vulnerable to ACSC hospitalizations than females. The risks were higher among 45-64 year olds than in younger people. CONCLUSIONS: The socioeconomic gradient in ACSC hospitalization rates confirms the gap in health status between social groups in our country. Insufficient or ineffective primary care is suggested as a plausible additional factor aggravating inequality. This finding highlights the need for improving outpatient care programmes to reduce the excess of unnecessary hospitalizations among poor people.

Temporal and geographic heterogeneity of the association between socioeconomic position and hospitalisation in Italy: an income based indicator.

BACKGROUND: The inverse association between socioeconomic position (SEP) and health has been extensively explored in Italy; however few studies have been carried out on the relationship between income inequalities and health status or health services utilisation, particularly at a local level.The objective of this study is to test the association between the demand for hospital care and a small area indicator based on income in four Italian cities, over a four-year period (1997-2000), in the adult population. METHODS: Census Block (median 260 residents) Median per capita Income (CBMI) was computed through record linkage between 1998 national tax and local population registries in the cities of Rome, Turin, Milan and Bologna (total population approximately 5.5 million). CBMI was linked to acute hospital discharges among residents, based on patient's residence.Age-standardized gender-specific hospitalisation rates were computed by CBMI quintiles (first quintile indicating lowest income), overall, and by city and year. Heterogeneity of the association between income level and hospitalisation was analysed through a Poisson model. RESULTS: We found an inverse association between small area income level and hospitalisation rates, which decreased continuously from 153 per 1000 inhabitants in the first quintile to 107 per 1000 inhabitants in the fifth quintile. Income differences in hospitalisation were confirmed in each city and year. However, the magnitude of the association and the absolute level of hospitalisation rates were quite different in each city and tended to slightly decrease over time in all cities considered, except Bologna. CONCLUSION: Our study confirms an inverse association between income level and the use of hospitalization in four Italian cities, using a small area economic indicator, based on population tax data. Further analysis of the association between income and cause-specific hospitalization rates will allow to better understand the capability of the Italian National Health System to compel with socio-economic inequalities in health needs.Furthermore the SEP indicator we propose can represent a contribution to the improvement of tools for monitoring inequalities in health and in health services utilization.

Analyzing differences in the magnitude of socioeconomic inequalities in self-perceived health by countries of different political tradition in Europe.

The objectives of this study are to describe, for European countries, variations among political traditions in the magnitude of inequalities in self-perceived health by educational level and to determine whether these variations change when contextual welfare state, labor market, wealth, and income inequality variables are taken into account. In this cross-sectional study, the authors look at the population aged 25 to 64 in 13 European countries. Individual data were obtained from the Health Interview Surveys of each country. Educational-level inequalities in self-perceived health exist in all countries and in all political traditions, among both women and men. When countries are grouped by political tradition, social democratic countries are found to have the lowest educational-level inequalities.

[Socio-economic status and family profile indicators: methodological issues in studying the burden of caregiving for terminally ill cancer patients]. / Indicatori di stato socio-economico e profili familiari: problemi metodologici nello studio dell'impatto sulle famiglie della fase terminale della malattia oncologica.

INTRODUCTION: The quality of care received by terminally ill cancer patients depends heavily on socio-economic conditions and family resources, especially because of the current increase in home care assistance. OBJECTIVE: To validate the demographic information on educational level which is recorded in the registries of residents in Italian towns; to compare simple indicators of socio-economic status and family profiles with composite indicators in their ability to predict the economic and social impact of the disease. DESIGN: A two-level probabilistic sample of cancer deaths from the Italian Survey on Dying Of Cancer. PARTICIPANTS: 2000 deaths were sampled; caregivers were identified and interviewed between 4 and 12 months after the patient's death. METHODS: We calculated Cohens kappa for educational level as reported in the registry, and in the questionnaire. We constructed a composite indicator of socio-economic status and family profile using a cluster analysis; its association with the impact on finances and quality of daily life was compared with that from the educational level reported in the questionnaire and with a previously derived indicator of family profile. RESULTS: The weighted kappa of the two sources used for educational level was 0.60 (CI 95% 0.55-0.64). Of the two indicators, educational level and socio-economic status (6 groups), only the later showed a significant association with the outcomes "difficulties" in sustaining the costs of treatment" and "use of entire savings for the illness". The composite indicator of family profile (7 groups) was significantly associated with all outcomes considered. Log-likelihood was significantly better with model using the composite and the prior indicators of family profile than in models without them. Models that included educational level and prior indicator of family profile (7 groups) were more adaptable than models with the composite indicators. CONCLUSIONS: The good level of agreement between the two sources regarding educational level suggests that the registry is an adequate data source, when other information is lacking. Our study did not reveal which of the indicators we used is the best, at least with regard to the outcomes we considered.

Socioeconomic inequalities in coronary heart disease in Italy: a multilevel population-based study.

This longitudinal study evaluates the role of individual and contextual socioeconomic determinants in the socioeconomic inequalities in incidence and mortality for coronary events in Turin, Italy, using hierarchical models. All residents aged 35-74 at the start of 1997 were included in the study population. We considered as outcomes all incident cases and deaths that occurred in the study population in the period 1997-2002. The socioeconomic indicators were educational level, job status and median income per census tract. A neighbourhood deprivation index was also used, which combines, in an aggregated measure, a series of poor individual socioeconomic conditions. The analyses were performed using hierarchical Poisson models, with individuals (n = 523,755) considered as level I units and neighbourhoods (n = 23) as level II units. Among men, we observed an inverse gradient in incidence by educational level and an excess risk for persons who were not actively employed. More marked excesses were found for mortality (RR: 1.63; 95% CI: 1.05-2.55, for unemployed persons compared to employed persons). Among women, greater socioeconomic differences were observed for both incidence and mortality; all of the individual indicators contributed to these differences. The differentials in mortality were particularly great for the retired and for housewives (RR: 1.98; 95% CI: 1.40-2.81). Slight excesses in incidence were observed among men for the most deprived areas. The results of this study reveal that job status is the most important individual factor explaining socioeconomic inequalities for coronary events, whereas context seems to play a marginal role.

[Risk of repeated injuries by economic activity in Italy in the 1990's]. / Infortuni ripetuti, rischio per professioni in Italia negli anni novanta.

BACKGROUND: Repetitive work injuries are a phenomenon that has not been sufficiently studied. Using data gathered by INAIL (National Institute for Insurance against Occupational Accidents and Diseases), it is possible to study the propensity of having a further injuries at the workplace after the first one. OBJECTIVES: To identify the risk of experiencing multiple injuries according to occupation, with discussion of how useful the available information systems are. METHODS: The data base includes workplace injuries, as classified by INAIL in Italy between 1994 and 2000 in the industrial and artisan sectors (2,162,702 subjects, ages 25-55). Selecting data on accidents occurring among 107,082 subjects who had experienced the first accident in 1996-99, in this cohort we assessed the occurrence of further accidents within two years in the same occupation, taking into account job mobility and factors eventually influencing underreporting (geographic area, age, severity of first accident and size of the enterprise). The risk for each occupation was computed stratifying by gender. RESULTS: There were significant differences between the first and successive accidents when examined by type, age group, severity of physical consequences and company size. Among men, the occupations showing higher risk were those already known to be at high risk for accidents: cleaning staff and refuse workers, foundry workers, masons, pilots, woodworkers, carpenters, transport workers, sailors, farmers, and miners. Among women the occupations most at risk were postwomen and messengers, cleaning staff and refuse workers, waitresses, cooks, bartenders, machine tool operators, woodworkers, and weavers in the textile industry. CONCLUSIONS: Among men, the risk of recurrent workplace accidents by occupation tends to reflect the frequency of the total accidents in each occupation. The results indicate that the study model employed is efficient and useful in providing risk profiles which allow identification of where to direct future studies, investigations, and preventive measures for each sex.

Factors other than risks in the workplace as determinants of socioeconomic differences in health in Italy.

To evaluate differences in mortality by social class and to determine the impacts of socioeconomic factors on health inequalities in Italy, mortality data from 1981-2001 were analyzed as a function of social class in Turin, controlling for occupational risks, housing conditions, and education. For general and cause-specific mortality, the weight of each socioeconomic indicator was evaluated on population-attributable fraction to social class. Among men, mortality risk was significantly higher in unskilled blue-collar workers (RR = 1.45). Among women, the differences by social class were slighter. Education and economic status mostly explain the mortality differences by social class in men, while economic status showed the highest contribution in women.

Educational inequalities in cause-specific mortality in middle-aged and older men and women in eight western European populations.

BACKGROUND: Studies of socioeconomic disparities in patterns of cause of death have been limited to single countries, middle-aged people, men, or broad cause of death groups. We assessed contribution of specific causes of death to disparities in mortality between groups with different levels of education, in men and women, middle-aged and old, in eight western European populations. METHODS: We analysed data from longitudinal mortality studies by cause of death, between Jan 1, 1990, and Dec 31, 1997. Data were included for more than 1 million deaths in 51 million person years of observation. FINDINGS: Absolute educational inequalities in total mortality peaked at 2127 deaths per 100000 person years in men, and at 1588 deaths per 100000 person years in women aged 75 years and older. In this age-group, rate ratios were greater than 1.00 for total mortality and all specific causes of death, apart form prostate cancer in men and lung cancer in women, showing increased mortality in low versus high educational groups. In men, cardiovascular diseases accounted for 39% of the difference between low and high educational groups in total mortality, cancer for 24%, other diseases for 32%, and external causes for 5%. Among women, contributions were 60%, 11%, 30%, and 0%, respectively. The contributions of cerebrovascular disease, other cardiovascular diseases, pneumonia, and COPD strongly increased by age, whereas those of cancer and external causes declined. Although relative inequalities in total mortality were closely similar in all populations, we noted striking differences in the contribution of specific causes to these inequalities. INTERPRETATION: Research needs to be broadened to include older populations, other diseases, and populations from different parts of Europe. Effective interventions should be developed and implemented to reduce exposure to cardiovascular risk factors in low-educational groups.