Statistics of Scientific Procedures on Live Animals NI 2005 (PDF 264 KB)

Statistics of Scientific Procedures on Living Animals NI 2005

Live 4 LIFE (Lifestyle Intervention for Food and Exercise)

Primary aims of this intervention are weight management and behaviour change of children 7-16 years old and secondary aims include parental weight management and increase in self esteem and confidence in both children and their families. The Referred Child:Will understand the importance of healthy eating and physical activity.Be able to make informed choices.Will have increased confidence and self esteem. The Parents:Will understand the importance of healthy eating and physical activity.Be able to make informed choices for themselves and their children.Feel empowered to continue a healthy lifestyle. The Family:Will understand the importance of healthy eating and physical activity.Will be able to work as a team to encourage each other to make healthy choices.Will feel confident enough to continue activities together.

Highly educated men and women likely to live longer

Life expectancy by educational attainment is a very important indicator of socio-economic inequalities in health. Based on the available data for a selection of EU Member States and Norway, a systematic relationship between educational attainment and mortality can be observed: at any age, life expectancy is less among persons with the lowest educational attainment and increases with educational level.Large differences in life expectancy by educational attainment can be observed among Member States. Moreover, these differences are more pronounced for men than for women.

Ethnicity Coding

The incidence, prevalence, and mortality of many diseases are known to vary by ethnic group.There are well documented inequities in access to prevention, treatment, and palliative health and social care services based on ethnic group. There are, too, reported differences in the quality of services received by different ethnic groups and of outcomes of treatment and care. Many of these inequities are amenable to change. However, in order to address them they must, first of all, be comprehensively defined and documented. Mainstreaming ethnic monitoring/data collection is a vital step in the process. The history of such data collection in the NHS is poor, whichever of the key datasets is examined: hospital episode statistics, general practitioner data, cancer registrations, and disease registers. While steps are now being taken to remedy some of these deficiencies, the continued non-availability of ethnic monitoring data and in some cases of compatible ethnically-coded denominator data remains a problem. In particular the lack of ethnic group in births and deaths data has been the subject of widespread comment by specialists in demography and public health and is probably the single action that could most improve the evidence based for addressing ethnic/racial inequalities in health and health care.