Search

Background: Influencing the life-style risk-factors alcohol, body mass index (BMI), and smoking is an European Union (EU) wide objective of public health policy. The population-level health effects of these risk-factors depend on population specific characteristics and are difficult to quantify without dynamic population health models.Methods: For eleven countries-approx. 80 % of the EU-27 population-we used evidence from the publicly available DYNAMO-HIA data-set. For each country the age- and sex-specific risk-factor prevalence and the incidence, prevalence, and excess mortality of nine chronic diseases are utilized; including the corresponding relative risks linking risk-factor exposure causally to disease incidence and all-cause mortality. Applying the DYNAMO-HIA tool, we dynamically project the country-wise potential health gains and losses using feasible, i.e. observed elsewhere, risk-factor prevalence rates as benchmarks. The effects of the "worst practice", "best practice", and the currently observed risk-factor prevalence on population health are quantified and expected changes in life expectancy, morbidity-free life years, disease cases, and cumulative mortality are reported.Results: Applying the best practice smoking prevalence yields the largest gains in life expectancy with 0.4 years for males and 0.3 year for females (approx. 332,950 and 274,200 deaths postponed, respectively) while the worst practice smoking prevalence also leads to the largest losses with 0.7 years for males and 0.9 year for females (approx. 609,400 and 710,550 lives lost, respectively). Comparing morbidity-free life years, the best practice smoking prevalence shows the highest gains for males with 0.4 years (342,800 less disease cases), whereas for females the best practice BMI prevalence yields the largest gains with 0.7 years (1,075,200 less disease cases).Conclusion: Smoking is still the risk-factor with the largest potential health gains. BMI, however, has comparatively large effects on morbidity. Future research should aim to improve knowledge of how policies can influence and shape individual and aggregated life-style-related risk-factor behavior. [ABSTRACT FROM AUTHOR]

Background: Cardiovascular disease is the number one cause of death in the United States and in most European countries. Cardiovascular health, as defined by the American Heart Association, is comprised of seven health metrics (smoking, body mass index, physical activity, diet, total cholesterol, blood pressure, and fasting plasma glucose). No studies have compared US data with data collected elsewhere, using this index of cardiovascular healthMethods: We performed comparative analyses of cardiovascular health status in participants from 2 study sites in 2 different countries: the Maine-Syracuse Study, conducted in Central New York, USA in 2001-2006 (n=673), and the Observation of Cardiovascular Risk Factors in Luxembourg, conducted in 2007-2009 (n=1145).Results: The Cardiovascular Health Score, the sum of the total number of metrics at ideal levels, was higher in the Luxembourg site than in the Central New York site. Ideal cardiovascular health levels for body mass index, smoking, physical activity, and diet were more prevalent in the Luxembourg site than the Central New York site. Ideal levels for blood pressure were more prevalent in Central New York. Differences between the two sites remained with control for age, gender and socioeconomic indicators.Conclusions: Cardiovascular health, as indexed by seven health metrics, was higher in the European study site than in the US study site. The largest differences were for the four lifestyle/behavior metrics, namely body mass index, smoking, physical activity, and diet. Preventative and intervention strategies will continue to be important for both countries in order to improve cardiovascular health. [ABSTRACT FROM AUTHOR]