Factors associated with involuntary admissions: a register-based cross-sectional multicenter study.

BACKGROUND: Despite the EU recommendations on mental health, involuntary admission has been under researched in Italy for a long time and the overall picture of involuntary admission still appears fragmentary. The aims of this study are to evaluate involuntary admission rates in the Piedmont Region (Italy) and to investigate clinical and service-related variables associated with involuntary admission. METHODS: This is a cross-sectional retrospective multicenter study involving all psychiatric inpatients units of the general hospitals of Piedmont Region. Data on hospitalizations during 2016 were collected by consulting hospital discharge registers. The analyses were performed on two samples: 6018 patients (data analysis was run on first hospitalization during the study period for those with multiple admissions) and 7881 inpatient episodes. The association between involuntary admission and socio-demographic and clinical characteristics was examined through t-test for continuous variables, and Pearson's Chi-square test for categorical variables. Multilevel modeling was applied in logistic regression models with two levels: for the first model center and participants and for the second model center and inpatient episodes. RESULTS: Of 6018 inpatients, 10.1% were admitted involuntarily at first hospitalization, while the overall compulsory treatment rate was slightly lower (9.1%) in the inpatient episodes sample (n = 7881). The involuntary admission rates ranged from 0.8 to 21% among study centers. Involuntary admissions were primarily associated with younger age, diagnosis of schizophrenia or substance use disorders, longer duration of hospital stay, mechanical restraint episodes, and fewer subsequent hospitalizations during the study period. CONCLUSIONS: The rate of involuntary admission in the Piedmont Region was lower than the mean rate across countries worldwide. There were noteworthy differences in rates of involuntary admission among psychiatric units, although no relationship was found with characteristics of the psychiatric wards or of the areas where hospitals are located.

[Occupational differences in exposure to hazardous work conditions]. / Differenze per professione nelle condizioni di lavoro nocive.

BACKGROUND: Few studies have been aimed at describing organizational and psychosocial conditions of the Italian workforce by occupational group, and they have been mainly conducted within specific occupations. OBJECTIVES: The present study aimed at identifying specific groups of occupations which have unfavourable profiles from the point of view of exposure to specific organizational factors and psychosocial risks, and to physical, chemical and ergonomic risks, and analyzing their distribution by worker age. METHODS: The analysis was conducted on a sample of 4,195 workers in the Piedmont Region who were members of the CGIL Trade Union (Italian General Confederation of Labour), who answered a self-administered questionnaire in 2000, aimed at assessing chemical, physical, and ergonomic risks, accidents, and psychosocial factors connected with work organization and work tasks. Psychosocial risks were assessed via three scales aimed at measuring the degree of control, psychophysical demands, and worker satisfaction. The proportion of workers exposed to the above mentioned risks was analysed according to occupational group. This group was then compared with all other groups taken together, according to prevalence of high strain condition (combination of high demand and low control) and HSUR condition (High Strain Unfairly Rewarded; combination of high strain and low satisfaction). RESULTS: Among males aged 25-44 years, restricted to the occupation groups with more than ten workers in high strain condition, significantly higher proportions of stress were observed in leather workers and shoemakers, paper factory workers, rubber workers, crane and bridge crane operators, plastic workers, painters, transport drivers and carpenters. For many of these groups, excesses were confirmed for the HSUR condition. Among subjects aged over 44 years, a higher risk for high strain was confirmed in rubber workers, transport drivers and carpenters. In addition, machine tool operators, assembly line and mechanical workers in this age group were exposed to higher risk of stress. In younger women there was a significantly higher risk of both high strain and HSUR conditions in workers employed in the rubber, plastic and the food industries, and in machine tool workers. Such excess risk was confirmed in the latter three categories also among older women. In general, the proportion of male workers classified as working in high strain conditions decreased as age increased, while in women it remained stable. CONCLUSIONS: The study allowed evaluation of the differential impact of exposure to physical, chemical, and psychosocial risk factors among occupational groups, thus contributing to the identification and classification of exhausting jobs. The results further showed, particularly among men, a smaller proportion of older workers, compared to younger ones, exposed to harmful physical, chemical, ergonomic and psychosocial conditions, indicating a possible propensity of companies to adapt workplace conditions, organization and internal mobility to worker age.

Trends in socioeconomic disparities in stroke mortality in six european countries between 1981-1985 and 1991-1995.

This study assesses whether stroke mortality trends have been less favorable among lower than among higher socioeconomic groups. Longitudinal data on mortality by socioeconomic status were obtained for Finland, Norway, Denmark, Sweden, England/Wales, and Turin, Italy. Data covered the entire population or a representative sample. Stroke mortality rates were calculated for the period 1981-1995. Changes in stroke mortality rate ratios were analyzed using Poisson regression and compared with rate ratios in ischemic heat disease mortality. Trends in stroke mortality were generally as favorable among lower as among higher socioeconomic groups, such that socioeconomic disparities in stroke mortality persisted and remained of a similar magnitude in the 1990s as in the 1980s. In Norway, however, occupational disparities in stroke mortality significantly widened, and a nonsignificant increase was observed in some countries. In contrast, disparities in ischemic heart disease mortality widened throughout this period in most populations. Improvements in hypertension prevalence and treatment may have contributed to similar stroke mortality declines in all socioeconomic groups in most countries. Socioeconomic disparities in stroke mortality generally persisted and may have widened in some populations, which fact underlines the need to improve preventive and secondary care for stroke among the lower socioeconomic groups.

[Inequalities in mortality in the Italian longitudinal studies]. / Le diseguaglianze di mortalità negli studi longitudinali italiani.

The article presents some of the most relevant results on inequalities in mortality, obtained by the two Italian longitudinal studies carried out in Turin, and Tuscany (in Leghorn and Florence). The two studies share the same methodology. Each database contains census data, information from population register and from death certificates. The authors approach this issue not in an analytical way (as they did in the works cited in the reference list), but answering some questions, relevant both from a scientific and a political point of view. How big are the health inequalities in Italy? Are the health inequalities in Italy increasing or decreasing? Are the health inequalities due to absolute or to relative deprivation? Does the mortality profile of the Italian population express the presence of old or new health inequalities? Can the health inequalities be reduced? The study's results prove that the health inequalities in Italy are deep and strictly related to individuals' position in the social fabric. Facing the other questions the authors focus only in the Turin data. From the 1970's to the 1990's the health inequalities in Turin have increased, despite of general improvement of population's health condition and the progressive reduction of the size of deprived groups. Turin data support both the hypotheses on the source of health inequalities, using long term unemployment as absolute deprivation's indicator, and status' inconsistency as (a row) indicator of relative deprivation. The growth of drug-related causes of death (AIDS and overdose) shows that in the Turin and--quite reasonably--Italian population old and new health inequalities live together. The essay closes offering evidence on the possibility to reduce health inequalities. For this purpose the authors analyses the Turin trend of avoidable deaths and infant and adolescent mortality.

[Social inequalities in the mortality due to cardiovascular diseases in Italy]. / Le diseguaglianze sociali nella mortalità per malattie cardiovascolari in Italia.

Social inequalities in cardiovascular disease mortality are described in this paper focusing on the results of the Studio Longitudinale Torinese (SLT), an investigation that links census data with the statistical data that are currently available. The overall results confirm that cardiovascular disease mortality is higher in less-advantaged socioeconomic groups, irrespectively of the social indicator used: education, social class, housing quality, job security. Stratified data shows less important inequalities among ischemic heart disease as compared to cerebrovascular mortality. The differences are even more complex when the age groups in the two genders are analyzed, revealing cohort effects. Overall, the results agree with the previous survey carried out by ISTAT on 1981 Italian mortality, which confirmed the variations in inequalities according to geographical areas, gender and age. Differences in access to the health system are likely to be related to the differences detected for geographical areas, while differences in personal history and attitude towards health-associated behavior should explain age and gender variations in inequalities. Equity must be included in the evaluation of preventive programs and health-care models. Epidemiological and social research should be encouraged to better understand the factors that influence inequalities in cardiovascular disease mortality and in the health status of the population at large.