The World Health Report 2002: Reducing Risks, Promoting Healthy Life
World Health Organization, 2002 - 248 pages
The World Health Report 2002 measures the amount of disease, disability, and health in the world today that can be attributed to some of the most important risks to human health. Even more importantly, it also calculates how much of this present burden could be avoided in the next 10 years.
The World Health Report 2002 represents one of the largest research projects ever undertaken by WHO, in collaboration with experts worldwide. Dr Gro Harlem Brundtland, Director-General of WHO, describes this report as a wake up call to the global community.
The report quantifies some of the most important risks to human health and examines a range of methods to reduce them. The ultimate goal is to help governments of all countries to lower major risks to health, and thereby raise the healthy life expectancy of their populations.
The risk factors range from underweight, unsafe water, sanitation and hygiene to high blood pressure, raised cholesterol, and obesity.
The report's findings give an intriguing - and alarming - insight into not just the current causes of disease and death and the factors underlying them, but also into human patterns of living and how some may be changing around the world while others remain dangerously unchanged.
Dr Brundtland says: This report helps every country in the world to see what measures it can take to reduce risks and promote healthy life for its own population.
Results 1-5 of 5
... and patterns of burden of disease in developing and developed countries
Figure 4.9 Global distribution of burden of disease attributable to 20 leading
selected risk factors Figure 4.10 Burden of disease attributable to 10 selected
leading risk ...
... appropriate estimates , as well as facilitating estimation of the effect of
simultaneous changes in two or more risk factor distributions . ... observed risk
factor distribution with that expected from some alternative , or counterfactual ,
Briefly , the method involved simultaneously varying all input parameters within
their respective distributions and ... An uncertainty distribution around each
estimate of population attributable fraction was obtained after 500 iterations of the
Figure 6.1 Case studies of distribution shifting and cardiovascular disease in
Finland and Japan Cholesterol distributions and coronary heart disease rates ,
men 30-59 years of age , North Karelia , Finland , 1972–1992 Distribution of
Distribution of attributable DALYS ( % attributable events ) Age group Sex 5-14
15-59 60+ Males Females 0-4 0 0 0 0 0 0 51 1 22 4 45 6 30 2 45 49 55 56 85 1
14 43 86 1 12 0 44 Annex Table 8 Distribution of attributable mortality and