The Institute's research is funded from a variety of sources including: an annual grant-in-aid from the Irish government; competitive research grants (both Irish and international); support for agreed programmes from government departments/agencies and commissioned research projects from public sector bodies. Sponsorship of the Institute's activities by Irish business and membership subscriptions provide a minor source of additional income. The Authors AcknowledgementsThis research was completed as part of a programme of research on Equality funded by the Department of Justice and Equality (DJE). We would like to express our thanks to the members of the steering group for the study, particularly Deaglán O'Broin of the DJE and Ronnie Fay of Pavee Point Traveller and Roma Centre. We also thank our ESRI colleagues Emer Smyth and Alan Barrett, who provided valuable comments. We are grateful to the Central Statistics Office for making available the micro-census data files for 2006 and 2011 and to the research team of the All Ireland Traveller Health Study, whose data we also use here. We also thank the three anonymous peer reviewers. Neither the DJE, the ESRI nor the CSO is responsible for the content of the report, which is the independent work of the authors. These Acts prohibit discrimination in the provision of goods and services (including accommodation and education), wither in the public or private sector, on any of the nine 'equality' grounds (see Employment Equality Acts, above). A further ground -being in receipt of housing assistance payment -also applies to the provision of accommodation. This report has been accepted for publication by the List of Tables Labour market participationThis involves being in employment (or self-employment) or being available for and actively seeking employment. Multivariate analysisA statistical analysis methodology used when we want to look at the impact of one factor (such as age) on another (such as health problems), after taking account of other differences (such as level of education, gender and so on).Odds ratio This is an indicator of how much more or less likely an outcome is for one group than another. An odds ratio greater than one indicates a greater likelihood, while an odds ratio less than one indicates a lower likelihood. For instance, if the odds ratio for poor health is 1.5 for Travellers compared to Non-Travellers, then Travellers have 50% higher odds of being in poor health. Overall and adjusted riskOverall risk is the actual rate of an outcome in the population (e.g. 12 per cent of Travellers have poor health compared to 9 per cent of non-Travellers). The adjusted risk is the risk we would observe if the groups were similar in respect of other characteristics taken into account in the statistical model (e.g. gender, age group, marital status, education, region, housing). For instance, the adjusted risk of poor health for married Traveller men would be 22 per cent compared to 12 per cent for non-Traveller married men. Traveller-specific accommodationThis...

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IntroductionIn Ireland between 2002–2013, Musculoskeletal Disorders (MSD) accounted for 50% of self-reported work-related illnesses. Moreover the average number of days absent (15.9 days) was higher than the average of 12.8 days for all other illnesses (except stress, anxiety and depression).MethodsThis paper examines trends and determinants for work-related MSD between 2002 and 2013, using annual cross-sectional data from the Quarterly National Household Survey (QNHS).ResultsRates of MSD were strongly linked to the economic cycle. Rates per 1000 workers ranged from 11 in 2002 to 19 during the economic boom before falling to 7 during the recession (2009). The 2013 rate in a recovering economy was 14 per 1000 workers.This pro-cyclical pattern remained when characteristics of workers and their workplace were held constant using logistic regression. Furthermore, within sectors, rates were higher when the annual percentage change in employment was positive.We also found that certain worker and workplace factors influenced the risk of MSD independently. Workers aged 35–64 had the highest risk of MSD (2.5 times more than workers <25 years). Construction sector workers, followed by those working in agriculture and health, had the greatest risk of MSD. Rates in education and all other services sectors were much lower. The self-employed, those working 40 to 49 hours per week (compared to <30 hours), shift workers, and new recruits (with <6 months job experience) also had a higher risk of MSD.DiscussionThese findings show that some groups of workers face a higher risk of work-related MSD and that further monitoring and targeted measures are needed to support employers and employees especially at a time of economic recovery.Full results and description of the methodology can be found at http://www.esri.ie/publications/work-related-illness/

IntroductionGiven the changing nature of employment, including the long term shift from manufacturing and agriculture to the service sector, an increasing proportion of the workforce is engaged in employment which is less physically demanding but which brings with it a range of stress-related and psycho-social risks. Eurofound (2006) estimated that in 2005, 20% of EU-15 workers reported health related risk due to work-related stress and the EU OSHA (2007) has identified high emotional demands and work intensification as key emerging psychosocial risks for the occupational health and safety of workers.MethodsThis paper draws on the 2015 European Working Conditions Survey to examine differences in the exposure of workers across Europe to (a) work stressors (physical risks, chemical/biological hazards, physically demanding work, psychosocial risks and work pressure); (b) the mediating role of work organised to enhance autonomy, supportiveness of management and colleagues and (b) the response of workers in terms of the subjective experience of stress, anxiety and depression.ResultsResults to include the following:Country differences in exposure to workplace hazards and stressorsExtent to which these are linked to country differences in the composition of jobs by sectorThe role played by the organisation of work (autonomy, supportiveness) in mediating the impact on workersCountry differences in the extent to which they adopt forms of work organisation that ameliorate the impact of stressors on workers.DiscussionThe organisation of work has an important role to play in ameliorating the impact of workplace risks on outcomes for workers.