Occupational Musculoskeletal Disorders in Europe: Impact, Risk factors and Preventive Regulations

The aim of this article is to characterize musculoskeletal disorders (MSDs) in EU working population according to available Eurostat data, to identify relevant risk factors and to refer existing legislation and standards to prevent MSDs. The following questions will be answered: How often do MSDs occur in EU? What are the risk factors? Do legislation and standards exist to prevent these disorders?

Susceptibility and prognostic factors in portuguese patients with juvenile idiopathic arthritis

ABSTRACT: Objectives: This study aimed to confirm whether 15 single nucleotide polymorphisms (SNPs) of selected genes are also associated with susceptibility for Juvenile idiopathic Arthritis (JIA) in thePortuguese population. Methods: Our study was conducted on Reuma.pt, the Rheumatic Diseases Portuguese Register, which includes patients with JIA receiving biological therapies and synthetic Disease Modifying Anti Rheumatic Drugs (DMARDs) since June 2001. Fifteen SNPs were investigated using Taqman® SNP genotyping assays in 291 Portuguese patients with JIA and 300 ethnically matched healthy controls. Results: Prior to Bonferroni correction for multiple testing, significant genotype association between one SNP and overall group of JIA was observed (PTPN22 rs2476601). In subgroup analysis, associations between six SNPs and the subgroup of patients with rheumatoid factor (RF)-positive Polyarticular (PTPN2 rs7234029), Extended oligoarticular (PTPN22 rs2476601), Systemic (PTPRC rs10919563, ANGPT1 rs7151781 and TNF rs361525) and Psoriatic JIA (IL2RA/CD25 rs2104286) were found. After Bonferroni correction for multiple testing, 3 genotype associations remained significant in the subgroup of patients with RF-positive polyarticular JIA (PTPN2 rs7234029 [corrected P 0.026]), extended oligoarticular (PTPN22 rs2476601 [corrected P 0.026]) and systemic JIA (ANGPT1 rs7151781 [corrected P 0.039]). Conclusion: Our results provide additional evidence for an association between polymorphisms in genes PTPN2, PTPN22 and ANGPT1 and the risk of RF-positive polyarticular, extended oligoarticular and systemic JIA, respectively, in a Portuguese population.

Development and validation of a risk model for prediction of hazardous alcohol consumption in general practice attendees : the PredictAL study

Background: Little is known about the risk of progression to hazardous alcohol use in people currently drinking at safe limits. We aimed to develop a prediction model (predictAL) for the development of hazardous drinking in safe drinkers. Methods: A prospective cohort study of adult general practice attendees in six European countries and Chile followed up over 6 months. We recruited 10,045 attendees between April 2003 to February 2005. 6193 European and 2462 Chilean attendees recorded AUDIT scores below 8 in men and 5 in women at recruitment and were used in modelling risk. 38 risk factors were measured to construct a risk model for the development of hazardous drinking using stepwise logistic regression. The model was corrected for over fitting and tested in an external population. The main outcome was hazardous drinking defined by an AUDIT score >= 8 in men and >= 5 in women. Results: 69.0% of attendees were recruited, of whom 89.5% participated again after six months. The risk factors in the final predictAL model were sex, age, country, baseline AUDIT score, panic syndrome and lifetime alcohol problem. The predictAL model's average c-index across all six European countries was 0.839 (95% CI 0.805, 0.873). The Hedge's g effect size for the difference in log odds of predicted probability between safe drinkers in Europe who subsequently developed hazardous alcohol use and those who did not was 1.38 (95% CI 1.25, 1.51). External validation of the algorithm in Chilean safe drinkers resulted in a c-index of 0.781 (95% CI 0.717, 0.846) and Hedge's g of 0.68 (95% CI 0.57, 0.78). Conclusions: The predictAL risk model for development of hazardous consumption in safe drinkers compares favourably with risk algorithms for disorders in other medical settings and can be a useful first step in prevention of alcohol misuse.