Abstract
Current epidemiological data suggest that the number of preventive interventions aimed at controlling alcohol, drug, food abuse and smoking achieved only partial success, especially in young individuals. In order to improve preventive action efficacy, the literature suggests the adoption of contents and communication instruments specifically targeted to different groups of individuals. The Valentino Project is a comprehensive survey on the characteristics of abuse of a representative sample of 3000 young workers (aged 18-35 years)from the Abruzzo Region of Italy. This paper describes its main methodological issues and the complete version of the questionnaire HW-80 (Healthy-Worker 80), that will be administered. HW-80 questionnaire includes 80 items on demographic characteristics, self-reported health, job-related stress, work organization, pattern of abuse, physical activity and others, and several of these items have been taken or derived from repeatedly validated questionnaires (SF-12, CAGE, Job-Strain, Effort-Reward, EU-DAP, etc.). The aims of the Valentino Project are to quantify the prevalence of obesity, alcohol use, smoking and drug addiction in diverse typologies of workers, and to describe their pattern of use. The ultimate purpose is to provide the necessary knowledge for the development of preventive strategies targeted to different professions, in order to maximize their efficacy.
| Translated title of the contribution | Drug, food, alcohol abuse and smoking in young workers. Methodology of a survey aimed at developing preventive interventions targeted to different type of workers: the Valentino Study |
|---|---|
| Original language | Italian |
| Pages (from-to) | 235-251 |
| Number of pages | 17 |
| Journal | Annali di Igiene Medicina Preventiva e di Comunita |
| Volume | 19 |
| Issue number | 3 |
| Publication status | Published - May 2007 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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