Suchergebnisse

AIMS: To assess disparities in directly alcohol-attributable (DAA) mortality by industry/occupation in Spain during 2002-2011 and the contribution of different socio-demographic factors, including socioeconomic position, to explain such disparity. METHODS: Nationwide cohort study covering 16 million economically active people living in Spain in 2001. Deaths at age 25-64 were analyzed. Subjects were classified by employment status, industry and occupation at baseline. Poisson regression models were built, calculating rate ratios (RRs) compared to all employees or those in the education sector. RESULTS: DAA mortality was much higher in the unemployed than in employees (Crude RR: 2.4; 95% CI: 2.3-2.6) and varied widely across industries/occupations. Crude RRs>3.0 (p1.33 (p<0.05) remained in unemployed, catering/accommodation employees and unskilled construction workers. RRs were significantly larger in women than men (p<0.05) among mineworkers/fishworkers/sailors (RR=8.6 vs. 1.2) and drivers (RR=3.7 vs. 1.0). CONCLUSIONS: The results could be extrapolated to all alcohol-attributable mortality since disparities for other strongly alcohol-related deaths, although smaller, were in the same direction. Given the wide occupational disparities in alcohol-attributable mortality, implementation of special measures to reduce this mortality in the highest risk groups is fully justified. Future research should better characterize the explanatory factors of disparities and their role in the causal chain. ; This work was supported by the Spanish Health Research and Development Strategy [PI15CIII/00022] and National Plan on Drugs [2015I040]. Writing the paper was also partially supported by the ISCIII Network on Addictive Disorders (Networks for Cooperative Research in the Carlos III Health Institute) [Grant numbers RD16/0017/0013 and RD12/0028/0018] and "Ayudas Juan de la Cierva-Incorporación" (Grant number IJCI-2015- 23261).

Monitoring injecting drug users' (IDUs) health is challenging because IDUs form a difficult to reach population. We examined the impact of recruitment setting on hepatitis C prevalence. Individual datasets from 12 studies were merged. Predictors of HCV positivity were sought through a multilevel analysis using a mixed-effects logistic model, with study identifier as random intercept. HCV prevalence ranged from 21% to 86% across the studies. Overall, HCV prevalence was higher in IDUs recruited in drug treatment centres compared to those recruited in low-threshold settings (74% and 42%, respectively, P < 0·001). Recruitment setting remained significantly associated with HCV prevalence after adjustment for duration of injecting and recent injection (adjusted odds ratio 0·7, 95% confidence interval 0·6-0·8, P = 0·05). Recruitment setting may have an impact on HCV prevalence estimates of IDUs in Europe. Assessing the impact of mixed recruitment strategies, including respondent-driven sampling, on HCV prevalence estimates, would be valuable. ; This study contributes to the work of the 'European Study Group for Mathematical Modelling and Epidemiological Analysis of Drug-Related Infectious Diseases, coordinated by EMCDDA and RIVM with funding from WHO/Europe and the government of The Netherlands. ; Sí