Risk factors for death in France

"Independent determinants of mortality were living area (Northern France), older age, male gender, no high-school completion, smoking, systolic blood pressure ≥ 160 mmHg, LDL-cholesterol ≥ 5.2 mmol/l, and diabetes."

http://www.ncbi.nlm.nih.gov/pubmed/21188478

Eur J Epidemiol. 2010 Dec 28. [Epub ahead of print]
Ten-year risk of all-cause mortality: assessment of a risk prediction algorithm in a French general population.
Bérard E, Bongard V, Arveiler D, Amouyel P, Wagner A, Dallongeville J, Haas B, Cottel D, Ruidavets JB, Ferrières J.

Department of Epidemiology, Health Economics and Public Health, UMR 558 INSERM, Université de Toulouse, Centre Hospitalier Universitaire de Toulouse, Toulouse, France.
Abstract
While assessment of global cardiovascular risk is uniformly recommended for risk factor management, prediction of all-cause death has seldom been considered in available charts. We established an updated algorithm to predict absolute 10-year risk of all-cause mortality in apparently healthy subjects living in France, a country with high life expectancy. Analyses were based on the Third French MONICA Survey on cardiovascular risk factors (1995-1996) carried out in 3,208 participants from the general population aged 35-64. Vital status was obtained 10 years after inclusion and assessment of determinants of mortality was based on multivariable Cox modelling. One-hundred-fifty-six deaths were recorded. Independent determinants of mortality were living area (Northern France), older age, male gender, no high-school completion, smoking, systolic blood pressure ≥ 160 mmHg, LDL-cholesterol ≥ 5.2 mmol/l, and diabetes. Score sheets were developed to easily estimate 10-year risk of death. For example, a non diabetic, heavy smoker, 46-year old man, living in South-Western France, who did not complete high-school, with LDL-cholesterol ≥ 5.2 mmol/l and systolic blood pressure < 160 mmHg, has a 17% probability of death in the ten coming years. The C-statistic of the prediction model was 0.76 [95% CI: 0.72-0.80] with a degree of overoptimism estimated at 0.0058 in a bootstrap sample. Calibration was satisfying: P value for Hosmer-Lemeshow χ(2) test was 0.483. This prediction algorithm is a simple tool for guiding practitioners towards a more or less aggressive management of risk factors in apparently healthy subjects.