Cancer mortality is steadily declining in Europe, echoing a trend also being seen in the U.S. and Japan, according to a study comparing cancer deaths between 1990-1994 and 2000-2004.
In the European Union, mortality rates for all cancers fell by 10% in men and 8% in women. Declines were more significant throughout Europe in populations ages 35 to 44, at 25% for men and 20% for women.
Data from 34 European countries were used to calculate mortality rates in 2000-2004, while data for 1990-1994 were obtained from the World Health Organization in Geneva, according to a report published online in the Annals of Oncology (November 30, 2009).
Overall mortality decreased from 185.2 deaths per 100,000 men to 168.0 deaths. This decline in mortality was attributed predominantly to a decrease in tobacco consumption, with a 16% reduction in lung cancer, specifically, and major reductions in other tobacco-related cancers. Recent declines in colorectal cancer and declines in gastric cancer attributed to changes in diet and lifestyle were also cited.
In women, mortality decreased from 104.8 deaths per 100,000 women to 96.9 deaths. The greatest reductions in mortality were for breast and cervical cancers, attributed to earlier detection through screening programs and improved treatment.
Highest/lowest mortality rates per 100,000 population, by country
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The mortality declines for both men and women were of comparable magnitude to those in the U.S. and Japan in the past decade, according to co-principal investigators Dr. Carlo La Vecchia, head of the department of epidemiology at Milan's Instituto di Ricerche Farmacologiche "Mario Negri," and Dr. Fabio Levi, head of the cancer epidemiology unit at the Centre Hospitalier Universitaire Vaudois' Institut de Médicine Sociale et Préventive in Lausanne, Switzerland.
The researchers attributed adoption of standard therapeutic protocols to reducing mortality from Hodgkin's lymphomas, leukemias, and testicular cancers. They also believe that advancements in integrated treatments have reduced breast, colorectal, ovarian, and prostate cancer mortality.
The key priority for cancer control in Europe is further reduction of tobacco smoking, according to the authors. They advocated more widespread adoption of screening for early diagnosis of cancers, and implementation of intervention programs to reduce alcohol consumption and to improve nutritional habits to reduce obesity.
A copy of the report, which provides detailed statistics by type of cancer and by country, may be downloaded here.
By Cynthia E. Keen
AuntMinnie.com staff writer
January 7, 2010
Related Reading
U.S. cancer rates continue their decline: report, December 8, 2009
ACS report: Breast cancer death rate dropping, September 30, 2009
Cancer rates and related deaths drop in U.S., November 26, 2008
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![Overview of the study design. (A) The fully automated deep learning framework was developed to estimate body composition (BC) (defined as subcutaneous adipose tissue [SAT] in liters; visceral adipose tissue [VAT] in liters; skeletal muscle [SM] in liters; SM fat fraction [SMFF] as a percentage; and intramuscular adipose tissue [IMAT] in deciliters) from MRI. The fully automated framework comprised one model (model 1) to quantify different BC measures (SAT, VAT, SM, SMFF, and IMAT) as three-dimensional (3D) measures from whole-body MRI scans. The second model (model 2) was trained to identify standardized anatomic landmarks along the craniocaudal body axis (z coordinate field), which allowed for subdividing the whole-body measures into different subregions typically examined on clinical routine MRI scans (chest, abdomen, and pelvis). (B) BC was quantified from whole-body MRI in over 66,000 individuals from two large population-based cohort studies, the UK Biobank (UKB) (36,317 individuals) and the German National Cohort (NAKO) (30,291 individuals). Bar graphs show age distribution by sex and cohort. BMI = body mass index. (C) After the performance assessment of the fully automated framework, the change in BC measures, distributions, and profiles across age decades were investigated. Age-, sex-, and height-adjusted body composition reference curves were calculated and made publicly available in a web-based z-score calculator (https://circ-ml.github.io).](https://img.auntminnieeurope.com/mindful/smg/workspaces/default/uploads/2026/05/body-comp.XgAjTfPj1W.jpg?auto=format%2Ccompress&fit=crop&h=112&q=70&w=112)






