Workplace stress and prescription of antidepressant medications: a prospective study on a sample of Italian workers.

PURPOSE: The main aim of this study was to examine prospectively the relationship between antidepressant prescriptions (ADP), as a proxy of depressive symptoms, and work-related stress, measured according to the demand-control model. METHODS: A cohort of 2,046 union workers who participated in a survey on working conditions and health in 1999-2000 was followed up to 2005, through the Regional Drug Prescription Register, for an ADP. The relative risks associated with demand, control and job strain were estimated using Poisson regression, adjusting for age, sex and other workplace factors (shift work, overtime, loud noise and psychological violence). RESULTS: In final multivariable models, high demand significantly increased the risk of depressive symptoms among blue collars (RR = 1.82), whereas among white collars, it was significantly protective (RR = 0.38). No significant relationship was found for job control or strain in either occupational class. CONCLUSIONS: The direct association observed elsewhere among blue collars between depressive symptoms and demand was confirmed, but not for job control or job strain. It cannot be ruled out that the association with demand was at least in part determined by reverse causation, due to exposure over-reporting among subjects with subclinical depressive symptoms at baseline. The protective effect of demand among white collars is not consistent with the literature and may be attributable to the particular characteristics of this sample, which included mainly workers employed in public administrative positions.

Educational inequalities in cancer incidence in Turin, Italy.

The objective of this study was to investigate the relationship between cancer incidence and socioeconomic status, and to examine the temporal trends in social inequalities in cancer risk. Educational differentials in the incidence of cancer (25 sites) among adult residents of Turin (Italy) were examined using data from the Turin Longitudinal Study and the Piedmont Cancer Registry. The relationship between cancer incidence and educational level was evaluated over three 5-year periods between 1985 and 1999 using Poisson models. An estimated 17% of malignancies among men in the low-educational group were attributable to education, whereas women with a low educational level were slightly protected. Less-educated men had higher risks of upper aero-digestive tract, stomach, lung, liver, rectal, bladder, central nervous system and ill-defined cancers, and lower risks of melanoma, kidney and prostate cancers. Women with lower educational levels were at higher risk of stomach, liver and cervical cancers, whereas they were less likely to be diagnosed with melanoma, ovarian and breast cancers. For most sites, the educational gradient in risk did not vary substantially over time. The educational inequalities in cancer incidence observed in this cohort appear similar in magnitude and direction to socioeconomic inequalities found in other Western countries; for some cancer sites results partly differ from the results of other studies, and require further investigation. A thorough understanding of the relative burden of well-documented causes of social inequalities in cancer risk is essential to address preventive measures and to direct future research on unexplained social differences.

Indicators predicting use of mental health services in Piedmont, Italy.

BACKGROUND: Since the 1978 Italian reform, an integrated network of community mental health services has been introduced. With few exceptions, research on determinants of mental health service use at the district level has focused on inpatient activities and social deprivation indicators. The European Psychiatric Care Assessment Team (EPCAT) standardized methodology allows for an evidence-based comparison of mental health systems between geographical areas. AIMS: To compare service provision and utilization between local catchment areas; to explore quantitative relationships between residential and community service use and socio-demographic indicators at the ecological level. METHODS: The European Socio-demographic Schedule (ESDS) was used to describe area characteristics, and the European Service Mapping Schedule (ESMS) to measure service provision and utilization in 18 catchment areas in Piedmont. RESULTS: Substantial variation in service use emerged. Acute hospital bed occupancy rates were lower in areas with more intensive community continuing care service users and with a smaller percentage of the population living alone. The non-acute hospital bed occupancy rate was directly related to the percentage of the population living alone or in overcrowded conditions, and to the level of mobile continuing care service users. Community continuing care service use was highest in areas with a larger percentage of the population living alone. DISCUSSION: Multiple regression models explained between 48 and 55% of the variation in inpatient and community service use between areas. Relationships based on ecological characteristics do not necessarily apply to the individual. This level of assessment, however, is necessary in evaluating mental health policy and service systems, and in allocating resources. IMPLICATIONS FOR HEALTH CARE PROVISION AND USE: The distribution of mental health care resources should be weighted in terms of indicators of social deprivation shown to be important predictors of both inpatient and community service use, as these are likely to be related. IMPLICATIONS FOR HEALTH POLICIES: To ensure horizontal equity in access to mental health care, particularly for people with severe mental illness, evaluation of mental health policy should be based on a concurrent evidence-based assessment of the organization and use of both residential and community services, in relation to area level indicators of social deprivation. IMPLICATIONS FOR FURTHER RESEARCH: Cross-national research using an internationally standardized methodology should consider the influence of the social network independently of other socio-economic indicators, to verify the relative importance of this in predicting service use in southern and in northern European countries.