Novel Strategies For Food Risk

Our every day decision-making behaviour relating to food choice is taken in the context of considerations of health, naturalness, economy, convenience and what we perceive as ‘risk’. Risk perception is now as important as any technical assessment of risk. In order to communicate effectively with the consumer about food risks, the importance of the exchange of information and opinions among the interested parties is recognised (FAO/WHO, 1998). Risk communication is “not just a matter of ensuring that one’s messages are delivered and listened to â€_.. also very much a process of empowering individuals â€_. to sharpen the skills necessary to make balanced judgements on risksâ€ù, (Scherer 1991). This safefood review, conducted on an all-island of Ireland basis, provides valuable insights into the perception of food safety risk from consumers on the island of Ireland and the food safety expert viewpoint. It explores the barriers to communicating with consumers on the island of Ireland about food safety risk. It also studies the barriers to promoting and practising good food hygiene - subgroups within the population are identified as being at ‘high risk’ because of inadequate levels of knowledge or more frequently resulting from not believing that the investment of time and effort in good food safety practice is worthwhile.

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.