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Riva presso Chieri, Italy

Albini E.,University of Brescia | Zoni S.,University of Brescia | Parrinello G.,University of Brescia | Benedetti L.,Local Public Health Agency | Lucchini R.,University of Brescia
Industrial Health | Year: 2011

To assess the risk from exposure to occupational stress and burnout in health care workers (HCW), a cross-sectional study was planned to compare objective data that can represent potential job stressors in hospital wards and subjective symptoms reported by the workers. Medical doctors, nurses and ancillary workers of the Internal Medicine Wards of a large public hospital in Northern Italy participated in the study. Three subjective questionnaires were administered: the Job Content Questionnaire (JCQ), the State-Trait Anxiety Inventory (STAI), the Maslach Burnout Inventory (MBI). In addition, seven objective parameters were collected as average during the 3 months period prior to the study: a) working understaffed; b) ratio number of patients/HCW on service; c) ratio number of HCW on sick leave/ HCW on service; d) number of skipped days off after night shifts; e) days of sick leave; f) number of deceased patients; g) number of accidents at work. A total group of 230 HCW were examined, employed in six different sub-units of the Medical wards. The female workers were 67.8% and the male workers 32.2%, the mean age was 37.4 yr (SD 9.3) in the total group of HCW, 35.1 yr (SD 7.9) in females and 42.3 yr (SD 10.3) in males. The average scores of subjective and objective parameters resulted significantly higher in the same sub-units. The correlation analysis showed that the subjective questionnaires were highly inter-related. The multivariate analysis showed that the days of sick leave were significantly related to the subjective questionnaires, and the subjective subscales of emotional exhaustion (from MBI), job demand and decision latitude (from JCQ) and STAIt were significantly related to some of the objective parameters. These results support the integrated use of multiple subjective and objective assessment as the most appropriate approach for the evaluation of occupational stress. Source


Melis G.,SiTIHigher Institute on Territorial Systems for Innovation | Gelormino E.,Local Public Health Agency | Marra G.,SiTIHigher Institute on Territorial Systems for Innovation | Ferracin E.,Local Public Health Agency | Costa G.,Local Public Health Agency
International Journal of Environmental Research and Public Health | Year: 2015

Mental health (MH) has a relevant burden on the health of populations. Common MH disorders (anxiety and non-psychotic depression) are well associated to socioeconomic individual and neighborhood characteristics, but little is known about the influence of urban structure. We analyzed among a Turin (Northwest Italy) urban population the association at area level of different urban structure characteristics (density, accessibility by public transport, accessibility to services, green and public spaces) and consumption of antidepressants. Estimates were adjusted by individual socio-demographic variables (education, housing tenure, employment) and contextual social environment (SE) variables (social and physical disorder, crime rates). Data was extracted from the Turin Longitudinal Study (TLS)—a census-based cohort study following up prospectively the mortality and morbidity of the population. As expected, individual characteristics show the strongest association with antidepressant drug consumption, while among built environment (BE) indicators accessibility by public transport and urban density only are associated to MH, being slightly protective factors. Results from this study, in agreement with previous literature, suggest that BE has a stronger effect on MH for people who spend more time in the neighborhood. Therefore, this research suggests that good accessibility to public transport, as well as a dense urban structure (versus sprawl), could contribute to reduced risk of depression, especially for women and elderly, by increasing opportunities to move around and have an active social life. © 2015 by the authors; licensee MDPI, Basel, Switzerland. Source

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