Introduction: Obesity constitutes a major public health problem in Europe, but how the obesity epidemic in European countries will evolve remains unknown. Most previous obesity projections considered the short-term future only, focused on single non-European countries, and projected ongoing increases foremost. We comparatively project obesity prevalence into the long-term future for 18 European countries and the USA. Data: We used national age-specific (20–84 years) and sex-specific obesity prevalence estimates (1975–2016) from the NCD Risk Factor Collaboration (NCD-RisC) 2017 study, which are based on available measured height and weight data, supplemented with estimates from a Bayesian hierarchical model. Methods: We projected age- and sex-specific obesity prevalence up to the year 2100 by integrating the notion of a wave-shaped obesity epidemic into conventional age-period projections. Results: In 1990–2016, the increasing trends in obesity prevalence were decelerating. Obesity is expected to reach maximum levels between 2030 and 2052 among men, and between 2026 and 2054 among women. The maximum levels will likely be reached first in The Netherlands, USA, and UK, and last in Switzerland; and are expected to be highest in the USA and UK, and lowest in The Netherlands for men and Denmark for women. In 2060, obesity prevalence is expected to be lowest among Dutch men and highest among Swiss men. The projected age-specific obesity prevalence levels have an inverse U-shape, peaking at around the age of 60–69 years. Discussion: Applying our novel approach to the NCD-RisC 2017 data, obesity prevalence is expected to reach maximum levels between 2026 and 2054, with the USA and UK reaching the highest maximum levels first, followed by other European countries.

Background and Purpose—: This article aims to make projections of future trends in stroke mortality in the Year 2030 based on recent trends in stroke mortality in 7 Western European countries. Methods—: Mortality data were obtained from national cause of death registries. Annual rates of decline in stroke mortality of 1980 to 2005 were determined for men and women in the United Kingdom, France, the Netherlands, and 4 Nordic countries on the basis of regression analysis. Estimated rates of decline were extrapolated until 2030. Cause-elimination life tables were used to determine the effect of stroke in 2030 in terms of potential gain in life expectancy. The absolute numbers of stroke deaths in 2030 were estimated using national population projections of Eurostat. Results—: In all countries, stroke mortality rates declined incessantly until 2005 among both men and women. If these trends were to continue, age-adjusted mortality rates would decline by approximately half between 2005 and 2030 with larger declines in France (approximately two thirds) and smaller declines in the Netherlands, Denmark, and Sweden (approximately one fourth). Similar rates of decline would be observed in terms of potential gain in life expectancy. Because of population aging, the absolute number of stroke deaths would decline slowly in the United Kingdom and France and stabilize or even increase in other countries. Conclusions—: In the near future, stroke may lose much of its effects on life expectancy but remain a frequent cause of death among elderly populations. The prevention of stroke-related disability instead of mortality may become increasingly more important.

Background Secular trends in old-age mortality are of crucial importance to population ageing. For the understanding and prediction of these trends, it is important to determine whether birth cohort effects, i.e. long-lasting effects of exposures earlier in life, are important in determining mortality trends up to old age. This study aimed to identify and describe cohort patterns in trends in mortality among the elderly (>60 years of age) in seven European countries. Methods A standard age-period-cohort analysis was applied to all-cause and cause-specific mortality data by 5-year age groups and sex, for Denmark, England and Wales, Finland, France, The Netherlands, Norway, and Sweden, in the period 1950–99. Results Cohort patterns were identified in all countries, for both the sexes and virtually all causes of death. They strongly influenced the trends in all-cause mortality among Danish, Dutch, and Norwegian men, and the trends in mortality from infectious diseases, lung cancer (men only), prostate cancer, breast cancer, and chronic obstructive pulmonary disease (COPD). All-cause mortality decline stagnated among Danish, Dutch, and Norwegian male birth cohorts born between 1890 and 1915, among French men born after 1920, and among women from all countries born after 1920. Where all-cause mortality decline stagnated, cohort patterns in mortality from lung cancer, COPD, and to a lesser extent ischaemic heart diseases, were unfavourable as well. For infectious diseases, stomach cancer, and cerebrovascular diseases, mortality increased among cohorts born before 1890, and decreased strongly thereafter. Conclusions Cohort effects related to factors such as living conditions in childhood and smoking in adulthood were important in determining the recent trends in mortality among the elderly in seven European countries.

With the rapid aging of the population, mortality forecasting becomes increasingly important, especially for the insurance and pension industries. However, a wide variety of projection methods are in use, both between and within countries, that produce dif

We present a new mortality projection methodology that distinguishes smoking- and non-smoking-related mortality and takes into account mortality trends of the opposite sex and in other countries. We evaluate to what extent future projections of life expectancy at birth (e₀) for the Netherlands up to 2040 are affected by the application of these components. All-cause mortality and non-smoking-related mortality for the years 1970–2006 are projected by the Lee-Carter and Li-Lee methodologies. Smoking-related mortality is projected according to assumptions on future smoking-attributable mortality. Projecting all-cause mortality in the Netherlands, using the Lee-Carter model, leads to high gains in e₀ (4.1 for males; 4.4 for females) and divergence between the sexes. Coherent projections, which include the mortality experience of the other 21 sex- and country-specific populations, result in much higher gains for males (6.4) and females (5.7), and convergence. The separate projection of smoking and non-smoking-related mortality produces a steady increase in e₀ for males (4.8) and a nonlinear trend for females, with lower gains in e₀ in the short run, resulting in temporary sex convergence. The latter effect is also found in coherent projections. Our methodology provides more robust projections, especially thanks to the distinction between smoking- and non-smoking-related mortality.