Risk of symptomatic osteoarthritis associated with exposure to ergonomic factors at work in a nationwide Italian survey.

OBJECTIVE: The risk of developing osteoarthritis (OA) has been reported to increase with exposure to various ergonomic factors at work, although this finding is still debated in the literature. Aim of this study was to assess the association between prevalence of symptomatic OA and exposure to workplace ergonomic factors assigned through a job-exposures matrix (JEM). METHODS: The study population was composed of 24,604 persons of 40-69 years who participated in the National Health Survey 2013 and were employed at that occasion. Exposure to ergonomic factors was assigned to the study population through a JEM constructed from the Italian O*NET database, consisting of 17 physical factors, which were summed and averaged by job title (796 jobs) to obtain a combined exposure index. The outcome was self-reported OA characterized by moderate or severe limitations in daily activities. The relationship between OA prevalence and the combined exposure index in quartiles was examined using robust Poisson regression models adjusted for socio-demographics and potential confounders. RESULTS: In the analysis adjusted for age and gender, the risk of OA was increased by approximately 20-30% in the second and third quartiles, and by 80% in the highest exposure quartile, compared to the least exposed, with a risk attenuation by approximately 15-20% controlling for other significant covariates. CONCLUSION: Our results support a causal role of exposure to physical factors at work in the development of OA. As OA is associated with a great burden of disability, any effort should be made to reduce workers' exposure to ergonomic factors.

Education inequalities in cardiovascular and coronary heart disease in Italy and the role of behavioral and biological risk factors.

BACKGROUND AND AIMS: Behavioral and biological risk factors (BBRF) explain part of the variability in socioeconomic differences in health. The present study aimed at evaluating education differences in incidence of cardiovascular disease (CVD) and coronary heart disease (CHD) in Italy and the role of BBRF. METHODS AND RESULTS: All subjects aged 30-74 years (n = 132,686) who participated to the National Health Interview Surveys 2000 and 2005 were included and followed-up for ten years. Exposure to smoking, physical activity, overweight/obesity, diabetes and hypertension at baseline was considered. Education level was used as an indicator of socioeconomic status. The outcomes were incident cases of CVD and CHD. Hazard ratios by education level were estimated, adjusting for sociodemographic covariates and stratifying by sex and geographic area. The contribution of BBRF to education inequalities was estimated by counterfactual mediation analysis, in addition to the assessment of the risk attenuation by comparing the models including BBRF or not. 22,214 participants had a CVD event and 6173 a CHD event. After controlling for sociodemographic factors, the least educated men showed a 21% higher risk of CVD and a 17% higher risk of CHD compared to the most educated (41% and 61% among women). The mediating effect (natural indirect effect) of BBRF between extreme education levels was 52% for CVD and 84% for CHD among men (16% among women for CVD). CONCLUSIONS: More effective strategies aiming at reducing socioeconomic disparities in CVD and CHD are needed, through programs targeting less educated people in combination with community-wide initiatives.

Occupational physical activity, mortality and CHD events in the Italian Longitudinal Study.

PURPOSE: Several recent studies have suggested a 'physical activity paradox' whereby leisure-time physical activity benefits health, but occupational physical activity is harmful. However, other studies imply that occupational physical activity is beneficial. Using data from a nationally representative Italian sample, we investigate if the context, or domain, of physical activity matters for mortality and coronary heart disease (CHD) events. METHODS: Among 40,220 men and women aged 40-55 at baseline, we used Cox models to compare associations of occupational, domestic and leisure-time physical activity with risk of mortality and CHD events over a follow-up period of up to 14 years. We accounted for sociodemographic factors, smoking, body mass index (BMI), physical and mental health, and educational qualifications. RESULTS: Occupational physical activity was not significantly associated with risk of mortality or CHD events for women, or with CHD events for men. In crude models, risk of mortality was higher for men in the highest occupational activity group, compared to the lowest (HR 1.26, 95% CI 1.01, 1.57). This attenuated with adjustment for health-related behaviours, health, and education (HR 1.03, 95% CI 0.77, 1.38). In crude models, leisure-time physical activity was significantly associated with decreased mortality and CHD risk only for men. Domestic physical activity was not associated with either outcome for either gender. CONCLUSION: In a large sample of middle-aged Italian workers, we found limited evidence of harmful or beneficial effects of occupational physical activity on mortality or CHD events. However, confidence intervals were wide, and results consistent with a range of effects in both directions.

Unemployment and mortality in a large Italian cohort.

BACKGROUND: Aim of this study was to examine the association between unemployment and mortality, taking into account potential confounders of this association. A secondary objective was to assess whether the association between unemployment and mortality was modified by lack of household economic resources. METHODS: Prospective cohort composed of a representative sample of Italian subjects 30-55 years who participated in the Italian National Health Survey 1999-2000, followed up for mortality up to 2012 (15 656 men and 11 463 women). Data were analyzed using Cox regression models, stratified by gender and adjusted for health status, behavioral risk factors, socioeconomic position and position in the household. The modifying effect of the lack of economic resources was assessed by testing its interaction with unemployment on mortality. RESULTS: Among women, unemployment was not associated with mortality, whereas among men, higher mortality was found from all causes (HR = 1.82), which was not modified by lack of economic resources, and from neoplasms (HR = 1.59), cardiovascular diseases (HR = 2.58) and suicides (HR = 5.01). CONCLUSIONS: Results for men were robust to the adjustment for main potential confounders, suggesting a causal relationship between unemployment and mortality. The lack of effect modification by economic resources supports the relevance of the loss of non-material benefits of work on mortality.

Mortality from suicide among agricultural, fishery, forestry and hunting workers in Italy and the contribution of work-related factors.

OBJECTIVES: Excess risk of suicide has been reported among workers in agriculture, fishery, forestry and hunting (AFFH). However, there is still uncertainty in the quantification of the risk and in the contribution of work-related factors. We aimed to quantify the suicide mortality risk among these workers in Italy. METHODS: We carried out a historical cohort study based on record linkage between the 2011 Italian census and the mortality archives for years 2012-2017. The mortality rate ratio (MRR) was used as a measure of risk. MRR was estimated through quasi-Poisson regression models using workers in other sectors as reference category. Models were adjusted for age, citizenship, marital status, area of residence, education, employment status and hours worked per week. RESULTS: The cohort included 1 004 655 workers employed in the AFFH sector and 15 269 181 workers in other sectors. During the 6-year follow-up, 559 deaths from suicide (500 men and 59 women) occurred among AFFH workers and 5917 (4935 men and 982 women) among workers in other sectors. The MRR for suicide was 1.36 (95% CI 1.19 to 1.55) among men and 1.18 (95% CI 0.87 to 1.60) among women. The excess risk was remarkably high for casual and fixed-term contract workers (3.01, 95% CI 1.50 to 6.04). CONCLUSIONS: Male workers in AFFH are at high risk of suicide mortality, and casual and fixed-term contract workers are at exceedingly high risk. Our study also suggests a higher risk among single, highly educated and long-hours workers. Female workers in AFFH do not have an appreciably increased risk.

Parental education and cancer mortality in children, adolescents, and young adults: A case-cohort study within the 2011 Italian census cohort.

BACKGROUND: Progress in the treatment of juvenile cancers has led to remarkable improvements in survival. However, not all families have the resources to cope with the burden that such diseases require. This study was aimed at evaluating the association between parental education and cancer mortality in children, adolescents, and young adults. METHODS: This was a case-cohort study based on 1889 cancer cases and 108,387 noncases sampled from the 2011 Italian census cohort of 10,964,837 individuals younger than 20 years and followed for 6 years. Mortality rate ratios (MRRs) were estimated for individuals with parents with high and intermediate levels of education (International Standard Classification of Education [ISCED] levels 5-8 and 3-4, respectively) in comparison with individuals with less educated parents (ISCED levels < 3) through multiple Poisson regression models. RESULTS: Over the follow-up, 684, 858, and 347 cancer cases with parents with the lowest, intermediate, and highest levels of education, respectively, were registered. In comparison with the individuals with parents with the lowest level of education, the MRR from all neoplasms was 0.92 (95% confidence interval [CI], 0.83-1.03) for those with parents with an intermediate level of education and 0.83 (95% CI, 0.72-0.95) for those with parents with the highest level of education. The MRRs from all neoplasms for individuals with parents with the highest level of education were 0.88 (95% CI, 0.69-1.11) among children, 0.87 (95% CI, 0.70-1.06) among adolescents, and 0.64 (95% CI, 0.50-0.83) among young adults. CONCLUSIONS: Children, adolescents, and young adults with highly educated parents have reduced mortality from cancer. This calls for further efforts to optimize treatment for children of less educated parents.

Socioeconomic and citizenship inequalities in hospitalisation of the adult population in Italy.

BACKGROUND: Higher levels of hospital admissions among people with lower socioeconomic level, including immigrants, have been observed in developed countries. In Europe, immigrants present a more frequent use of emergency services compared to the native population. The aim of our study was to evaluate the socioeconomic and citizenship differences in the hospitalisation of the adult population in Italy. METHODS: The study was conducted using the database created by the record linkage between the National Health Interview Survey (2005) with the National Hospital Discharge Database (2005-2014). 79,341 individuals aged 18-64 years were included. The outcomes were acute hospital admissions, urgent admissions and length of stay (1-7 days, > = 8 days). Education level, occupational status, self-perceived economic resources and migratory status were considered as socioeconomic determinants. A multivariate proportional hazards model for recurrent events was used to estimate the risk of total hospital admissions. Logistic models were used to estimate the risk of urgent hospitalisation as well as of length of stay. RESULTS: Low education level, the lack of employment and negative self-perceived economic resources were conditions associated with the risk of hospitalisation, a longer hospital stay and greater recourse to urgent hospitalisation. Foreigners had a lower risk of hospitalisation (HR = 0.75; 95% CI:0.68-0.83) but a higher risk of urgent hospitalisation (OR = 1.36; 95% CI:1.18-1.55) and more frequent hospitalisations with a length of stay of at least eight days (OR = 1.19; 95% CI:1.02-1.40). CONCLUSIONS: To improve equity in access, effective primary, secondary and tertiary prevention strategies must be strengthened, as should access to appropriate levels of care.

Long working hours and cardiovascular mortality: a census-based cohort study.

OBJECTIVES: Long working hours have been associated with cardiovascular disease (CVD) mortality. However, results are inconsistent and large cohort studies are needed to confirm these findings. METHODS: We conducted a census-based cohort study including 11,903,540 Italian workers aged 20-64 years, registered in the 2011 census, with a 5-year follow-up (2012-2016). We estimated cause-specific hazard ratios (cHRs) through Cox regression models to quantify the association between long working hours and CVD mortality. RESULTS: Over 5 years of follow-up, 17,206 individuals died from CVD (15,262 men and 1944 women). Men working 55 or more hours per week had a cHR of 0.95 (95% confidence interval, CI 0.89-1.02) for all CVDs, while women showed a cHR of 1.19 (95% CI 0.95-1.49). Professional women working more than 55 h per week had a cHR of 1.98 (95% CI 0.87-4.52). CONCLUSIONS: This study does not support an association between long working hours and CVD mortality among active Italian men, while it suggests a possible excess risk among women, although based on limited number of events.

Mortality among Italian male workers in the construction industry: a census-based cohort study.

BACKGROUND: Advances in technologies, occupational hygiene and increased surveillance have reduced the excess mortality previously found in the construction industry. This study is aimed to evaluate cause-specific mortality in a recent cohort of construction workers. METHODS: We carried out a record-linkage cohort study based on the 2011 Italian census and the mortality archives (2012-2015), including 1 068 653 construction workers. We estimated mortality rate ratios (MRR) using Poisson regression models including terms for age and geographic area. RESULTS: Compared with non-manual workers, construction workers showed an excess mortality from all causes (MRR: 1.34), all neoplasms (MRR: 1.30), head and neck (MRR: 2.05), stomach (MRR: 1.56), liver (MRR: 1.62), lung (MRR: 1.80), prostate (MRR: 1.24) and bladder (MRR: 1.60) cancers, respiratory (MRR: 1.41) and liver (MRR: 1.79) diseases, all external causes (MRR: 1.87), falls (MRR: 2.87) and suicide (MRR: 1.58). Compared with manual workers in other industries, construction workers showed excess mortality from prostate (MRR: 1.27) and non-melanoma skin cancers (MRR: 1.95), all external causes (MRR: 1.14), falls (MRR: 1.94) and suicide (MRR: 1.18). Most of this excess mortality disappeared after adjusting for education, with the exception of prostate and non-melanoma skin cancers, all external causes, falls and suicide. CONCLUSIONS: Construction workers are at high risk of dying from external causes, while the excess mortality found for several cancers, liver and respiratory diseases may be at least partially due to the high prevalence of low education and unfavorable lifestyle factors. The excess mortality from prostate cancer requires further evaluations.

Italian Atlas of mortality inequalities by education level. / Atlante italiano delle disuguaglianze di mortalità per livello di istruzione.

OBJECTIVES: To evaluate the geographical and socioeconomic differences in mortality and in life expectancy in Italy; to evaluate the proportion of mortality in the population attributable to a medium-low education level through the use of maps and indicators. DESIGN: Longitudinal design of the population enrolled in the 2011 Italian Census, following the population over time and registering any exit due to death or emigration. SETTING AND PARTICIPANTS: The study used the database of the Italian National Institute of Statistics (Istat) developed by linking the 2011 Census with the Italian National Register of Causes of Death (2012-2014) for 35 groups of causes of death. Age, sex, residence, and education level information were collected from the Census. MAIN OUTCOME MEASURES: Life expectancy at birth was calculated by sex, Italian region, and education level. For the population aged 30-89 years, the following items were developed by sex: 1. provincial maps showing, for each cause of death, the distribution in quintiles of smoothed standardized mortality ratio (SMR), adjusted for age and education level and estimated with Bayesian models for small areas (spatial conditional autoregressive model); 2. regional maps of population attributable fraction (PAF) for low and medium education levels, calculated starting from age-standardized mortality ratios; 3. tables illustrating for each region standardized mortality rates and standardized years of life lost rate by age (standardized YLL rate), and mortality rate ratios standardized by age (MMRs). RESULTS: Males with a lower education level throughout Italy show a life expectancy at birth that is 3 years less than those with higher education; residents in Southern Italy lose an additional year in life expectancy, regardless of education level. Social inequalities in mortality are present in all regions, but are more marked in the poorer regions of Southern Italy. Geographical differences, taking into account the different population distributions in terms of age and education level, produce mortality differences for all causes: from -15% to +30% in women and from -13% to +26% in men, compared to the national average. Among the main groups of causes, the geographical differences are greater for cardiovascular diseases, respiratory diseases, and accidents, and lower for many tumour sites. A clear mortality gradient with an excess in Southern Italy can be seen for cardiovascular diseases: there are some areas where mortality for people with higher education level is higher than that for residents in Northern Italy with low education level. The gradient for "All tumours", instead, is from South to North, as it is for most single tumour sites. Population attributable fraction for low education level in Italy, taking into account the population distribution by age, is 13.4% in women and 18.3% in men. CONCLUSIONS: The study highlighted important geographical differences in mortality, regardless of age and socioeconomic level, with a more significant impact in the poorer Southern regions, revealing a never-before-seen health advantage in the regions along the Adriatic coast. A lower education level explains a considerable proportion of mortality risk, although with differing effects by geographical area and cause of death. There are still mortality inequalities in Italy, therefore, representing a possible missed gain in health in our Country; these inequalities suggest a reassessment of priorities and definition of health targets. Forty years after the Italian National Health Service was instituted, the goal of health equity has not yet been fully achieved.

LIFE Med Hiss: An innovative cohort design for public health.

The aim of MED HISS methodology was to test the effectiveness of a low-cost approach to study long-term effects of air pollution, applicable in all European countries. This approach is potentially exportable to other environmental issues where a cohort representative of the country population is needed. The cohort is derived from the National Health Interview Survey, compulsory in European countries, which has information on individual lifestyle factors. In Life Med Hiss approach, subjects recruited have been linked at individual level with health data and have been then followed-up for mortality and hospital admissions outcomes. Exposure values of air pollution (PM2.5 and NO2) have been assigned using national dispersion models, enhanced by the information derived from monitoring station with data fusion techniques, and then upscaled at municipality level (highest level of detail achievable for the Italian Survey). Results for mortality have been used to test the effectiveness of this methodology and are encouraging if compared with European ones. The advantages of this technique are summarized below: •It uses a cohort already available and compulsory in European countries•It uses air quality modelling data, available for most of the countries•It permits to implement versatile environmental surveillance systems.

[Differences in mortality by educational level in Italy (2012-2014)]. / Differenze nella mortalità per livello di istruzione in Italia (2012-2014).

OBJECTIVES: to evaluate socioeconomic inequalities in mortality by educational level in Italy. DESIGN: cohort study based on the record linkage between the 2012-2014 archives of mortality and the 2011 Italian population Census. SETTING AND PARTICIPANTS: Italian population registered in the 2011 Census. MAIN OUTCOME MEASURES: life expectancy by educational level, age-standardized mortality rates, mortality rate ratios (MRRs) for overall mortality, and 12 groups of causes of death. RESULTS: life expectancy at birth was 80.3 years among men and 84.9 among women. High-educated men were expected to live 3 years longer than lower educated men, while the gap was narrower in women (1.5 years). Lower educated men had a higher mortality from any cause (MRR: 1.34; 95%CI 1.33-1.35) with larger differentials for lung, upper aerodigestive, and liver cancers, respiratory system diseases, AIDS and accidents. Socioeconomic inequalities were larger in the North-West of the Country for lung and liver cancer. Educational inequalities were smaller among women for all-cause mortality, but remarkably larger for circulatory system diseases (MRR: 1.40; 95%CI 1.38-1.42), particularly in the South (MRR: 1.46; 95%CI 1.42-1.50). CONCLUSIONS: this study documented socioeconomic inequalities in mortality in Italy for many causes of death; some of them resulted heterogeneous by area of residence. Most of the inequalities can be counteracted with specific measures aimed to improve behavioural risk factors among less educated people.

Mortality by occupation-based social class in Italy from 2012 to 2014.

OBJECTIVES: Evaluating socio-economic inequality in cause-specific mortality among the working population requires large cohort studies. Through this census-based study, we aimed to quantify disparities in mortality across occupation-based social classes in Italy. METHODS: We conducted a historical cohort study on a sample of more than 16 million workers. We estimated the mortality rate ratios for each social class, considering upper non-manual workers as reference. RESULTS: Non-skilled manual workers showed an increased mortality from upper aero-digestive tract, stomach and liver cancers, and from diseases of the circulatory system, transport accidents and suicides in both sexes, and from infectious diseases, diabetes, lung and bladder cancers only in men. Among women, an excess mortality emerged for cervical cancer, whereas mortality from breast and ovarian cancers was lower. When education was taken into account, the excess mortality decreased in men while was no longer significant in women. CONCLUSIONS: There are remarkable disparities across occupation-based social classes in the Italian working population that favour the upper non-manual workers. Our data could be useful in planning policies for a more effective health and social security system.

The contribution of behavioural and metabolic risk factors to socioeconomic inequalities in mortality: the Italian Longitudinal Study.

OBJECTIVES: The aim of this study was to assess social inequalities in overall mortality in a representative sample of the Italian population, and to evaluate the contribution of behavioural and metabolic risk (BMF) factors to these inequalities. METHODS: 85,308 participants aged 25-74 years from the Italian Longitudinal Study were included in the study population and followed up for mortality (1999-2012). Level of education was used as a proxy for socioeconomic status. The contribution of BMF was estimated assessing the attenuation of the risk by education produced by the inclusion of BMF in regression model. RESULTS: Men with the lowest education had 62% and women had 57% greater risk of dying than those with the highest education. Among men, adjustment for BMF produced an attenuation of the mortality risk between extreme classes of education by 22%, while among women the risk attenuation was 7%. CONCLUSIONS: Large educational differences in mortality were observed for both men and women. BMF reduced by approximately 20% differences in mortality relative risk between extreme classes of education in men. In contrast, a very low contribution was observed in women.

Differences in education and premature mortality: a record linkage study of over 35 million Italians.

Background: Large, representative studies are needed to evaluate cause-specific aspects of socio-economic inequalities in mortality. Methods: We conducted a census-based retrospective cohort study to quantify differences in cause-specific premature mortality by educational level in Italy. We linked the 2011 Italian census with 2012 and 2013 death registries. We used the mortality rate ratio (MRR) as a measure of relative inequality. Results: Overall, 305 043 deaths (190 061 men-114 982 women) were registered from a population of 35 708 445 subjects aged 30-74. The age-standardized mortality rate for all educational levels was 57.68 deaths per 10 000 person-years among men and 31.41 among women. MRR from all causes was 0.51 (95% CI: 0.49; 0.52) in men and 0.63 (95% CI: 0.61; 0.65) in women for the highest (university) compared to the lowest level of education (none or primary school). The association was stronger in single than in married individuals: MRRs were 0.36 (95% CI: 0.34; 0.39) in single men, 0.57 (95% CI: 0.55; 0.59) in married men, 0.44 (95% CI: 0.40; 0.47) in single women and 0.69 (95% CI: 0.66; 0.72) in married women. High education was associated with lower mortality from liver, circulatory, chronic respiratory and genitourinary diseases in both sexes. Highly educated men had a lower mortality from lung cancer than less educated men, whereas highly educated women did not have a reduced mortality from lung and breast cancers. Conclusion: Level of education is a strong indicator of premature mortality. The magnitude of the association between educational level and mortality differs across sexes, marital status and causes of death.

Educational inequality in cancer mortality: a record linkage study of over 35 million Italians.

PURPOSE: Large studies are needed to evaluate socioeconomic inequality for site-specific cancer mortality. We conducted a longitudinal census-based national study to quantify the relative inequality in cancer mortality among educational levels in Italy. METHODS: We linked the 2011 Italian census with the 2012 and 2013 death registries. Educational inequality in overall cancer and site-specific cancer mortality were evaluated by computing the mortality rate ratio (MRR). RESULTS: A total of 35,708,445 subjects aged 30-74 years and 147,981 cancer deaths were registered. Compared to the lowest level of education (none or primary school), the MRR for all cancers in the highest level (university) was 0.57 (95% CI 0.55; 0.58) in men and 0.84 (95% CI 0.81; 0.87) in women. Higher education was associated with reduced risk of mortality from lip, oral cavity, pharynx, oesophagus, stomach, colon and liver in both sexes. Higher education (university) was associated with decreased risk of lung cancer in men (MRR: 0.43, 95% CI 0.41; 0.46), but not in women (MRR: 1.00, 95% CI 0.92; 1.10). Highly educated women had a reduced risk of mortality from cervical cancer than lower educated women (MRR: 0.39, 95% CI 0.27; 0.56), but they had a similar risk for breast cancer (MRR: 1.01, 95% CI 0.94; 1.09). CONCLUSIONS: Education is inversely associated with total cancer mortality, and the association was stronger in men. Different patterns and trends in tobacco smoking in men and women account for at least most of the gender differences.

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.