IPH response to RICHE questionnaire on child health research in Europe

Request to participate in an expert group review of child health research gaps and priorities in Ireland and Northern Ireland IPH responded to a questionnaire from the FP7 funded project - RICHE ( www.childhealthresearch.eu). The project goal is to produce an inventory of child health research in Europe, identify gaps in existing and on-going research, and devise a series of roadmaps for the future of child health research. This is co-ordinated by Anthony Staines from DCU, and Michael Rigby, from the Nordic School. This specific phase of the project is being co-ordinated by Matilde Leonardi and Giorgio Tamburlini in Italy.

DETERMINE Working Document #1 'Policies and actions addressing the social determinants of health inequalities: examples of activity at EU member state level in Europe'

The Institute of Public Health in Ireland (IPH) is a partner in the European project DETERMINE, building on its previous involvement in the Closing the Gap project in 2004-2006. In the first year of the project (2007-2008) 15 DETERMINE partners identified policies and actions that have taken place within countries, and at the EU level, to address Social Determinants of Health Inequalities. These policies and actions were identified via a questionnaire, which also identified structures and tools/mechanisms being used in the country to support a 'health in all policy' approach.

General and Abdominal Adiposity and Risk of Death in Europe

Previous studies have relied predominantly on the body-mass index (BMI, the weight in kilograms divided by the square of the height in meters) to assess the association of adiposity with the risk of death, but few have examined whether the distribution of body fat contributes to the prediction of death. This study examined the association of BMI, waist circumference, and waist-to-hip ratio with the risk of death among 359,387 participants from nine countries in the European Prospective Investigation into Cancer and Nutrition (EPIC). A Cox regression analysis was used, with age as the time variable, and stratified the models according to study center and age at recruitment, with further adjustment for educational level, smoking status, alcohol consumption, physical activity, and height.