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Between 1934 and 1964, the Dutch repeatedly enjoyed the highest life expectancy in the world. Since then, both men and women experienced a long period of stagnation and by now life expectancy in the Netherlands has been surpassed by many countries. It has dropped from its first place position to the ninth place in the European Union (EU-15). As a longer life expectancy reflects the fact that good health is being maintained for longer, it is of key importance to better understand differences in life expectancy among countries.

Aims. The objective of this paper is to measure the potential burden of cardiovascular disease within the original Framingham Heart Study cohort by transforming its well-described epidemiological measures into time-based health policy measures, such as life years lost to or lived with the disease. Methods and Results. We constructed multi-state life tables of the Framingham Heart Study cohort to calculate dwelling times with a history of cardiovascular disease. Age-specific probabilities determined transitions from healthy through disease to death. For this synthetic cohort, from age 50 men (women) live on average 26 (32) years, 20 (26) free of cardiovascular disease. Allowing occupancy of more than one disease state. 50-year-old males (females) live 2(.)9 (1(.)2) years with a history of myocardial infarction, 0(.)93 (1(.)2) with a history of stroke, and 0(.)67 (0(.)3) with congestive heart failure. Having ever suffered acute myocardial infarction, stroke or congestive heart failure, life expectancy is reduced by 9 (13), 12 (15) or 16 (16) years, respectively in 60-year-oid men (women). Conclusions. Transforming occurrence probabilities into time-based health measures, the prevalence of cardiovascular disease is remarkable: from age 50, 20% of remaining life expectancy is lived with the disease. Such measures are integral to appropriate health planning and assessment of the potential population health value of various treatment and prevention strategies.

dietary behaviour and to further examine the associations of different dietary compositions with selected characteristics. Design: Latent class analysis was applied to data from the recent cross-sectional National Family Health Survey that collected information on the intake frequency of selected foods. Different responses regarding intake frequency were condensed into a set of five meaningful latent clusters representing different dietary patterns and these clusters were then labelled based on the reported degree of diet mixing. Setting: Indian states. Subjects: In total, 90 180 women aged 15-49 years. Results: Three clusters were predominantly non-vegetarian and two were vegetarian. A very high or high mixed-diet pattern was observed particularly in the southern and a few north-eastern states. Many women in the very high mixed-diet cluster consumed mostly non-green/leafy vegetables on a daily basis, and fruits and other non-vegetarian diet on a weekly basis. In contrast, those in the low mixed-diet cluster consumed more than three-fifths of the major vegetarian diet ingredients alone on a daily basis. The affluent group that represented the low mixed-diet cluster were primarily vegetarians and those who represented the very high mixed-diet cluster were mostly non-vegetarians. The significant interrelationships of different characteristics highlight not only socio-economic, spatial and cultural disparities related to dietary practices, but also the substantial heterogeneity in diet mixing behaviour. Conclusions: The results of this study confirmed our hypothesis of heterogeneous dietary behaviour of Indian women and yielded useful policy-oriented results which might be difficult to establish otherwise.

De Morgen

De Morgen

De Morgen

OBJECTIVES: To examine whether elimination of fatal diseases will increase healthcare costs. DESIGN: Mortality data from vital statistics combined with healthcare spending in a cause elimination life table. Costs were allocated to specific diseases through the various healthcare registers. SETTING AND SUBJECTS: The population of the Netherlands, 1988. MAIN OUTCOME MEASURES: Healthcare costs of a synthetic life table cohort, expressed as life time expected costs. RESULTS: The life time expected healthcare costs for 1988 in the Netherlands were 56,600 Pounds for men and 80,900 Pounds for women. Elimination of fatal diseases--such as coronary heart disease, cancer, or chronic obstructive lung disease--increases healthcare costs. Major savings will be achieved only by elimination of non-fatal disease--such as musculoskeletal diseases and mental disorders. CONCLUSION: The aim of prevention is to spare people from avoidable misery and death not to save money on the healthcare system. In countries with low mortality, elimination of fatal diseases by successful prevention increases healthcare spending because of the medical expenses during added life years.