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Revue d Épidémiologie et de Santé Publique 11/2004; 52(5):409-13. · 0.78 Impact Factor
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ABSTRACT: We calculate aggregate indicators of population health for occupational groups to gauge changes in health disparities during the 1980-1991 period. The study is based on the experiences of French adult men in three major occupational classes: managers, manual workers, and an intermediary occupational group. Life table models show that managers have longer life expectancy and disability-free life expectancy (DFLE) than manual workers, and a shorter life expectancy with disability. The concurrent increases in life expectancy and DFLE during the period maintained the occupational disparities in health; the years lived with disability, however, declined for all groups, as for the entire French population.
Demography 12/2001; 38(4):513-24. · 1.93 Impact Factor
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ABSTRACT: In looking at increases in disability-free life expectancy we examine the scope and evolution of social inequalities in health. As early as the end of the 18th century, Moheau had already emphasised the differences in life expectancy according to profession but it wasn't until much later that official statistics could confirm them. Despite the growing concern related to this phenomenon, the data are lacking for tracking its evolution and understanding its causes. The indicators of disability-free life expectancy that we established for socio-professional groups allowed us to respond to certain outstanding questions. The results of this study are summarised in this article. They serve to re-open the debate around the problems involved in measuring social inequalities and their place in public health.
Santé Publique 07/2001; 13(2):137-49. · 0.24 Impact Factor
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ABSTRACT: The concepts of life expectation, life expectation without disability, are explained. Their importance for defining a health policy and a healthcare policy is emphasized. A concrete example is given: the inequalities in life expectancy without disability follow the same pattern as the inequalities in mortality.
Bulletin de l'Académie nationale de médecine 02/2000; 184(3):621-32; discussion 632-6. · 0.25 Impact Factor
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ABSTRACT: An outline is presented of progress in the development of health expectancy indicators, which are growing in importance as a means of assessing the health status of populations and determining public health priorities.
Bulletin of the World Health Organisation 02/1999; 77(2):181-5. · 4.64 Impact Factor
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ABSTRACT: This study extends research on the impact of age-specific disability trends internationally, with a specific emphasis on long-term care needs. It focuses on changing patterns of disability in populations over 65 for a set of OECD countries for which cross-sectional evidence is available for at least two points in time five years or more apart (Australia, Canada, France, Germany, Japan, the Netherlands, Sweden, the United Kingdom and the United States). It analyses the policy implications of trends in health outcomes among older populations, both in terms of financing and with respect to the balance of care between home and institutions.
Information related to severe disability, as measured by the ability to carry out activities of daily living, was obtained for the population aged 65 and over, and cross-classified into four age groups and by gender. Two projections were made: one assumes stable rates of disability, and the other reflects the rate of change based on ...
OECD, Directorate for Employment, Labour and Social Affairs, OECD Labour Market and Social Policy Occasional Papers. 01/1999;
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Notas de población 01/1997; 24(64):7-32.
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ABSTRACT: In 1984, World Health Organisation (WHO) has proposed a demo-epidemiological model which allows the assessment of the possible consequences of the lengthening of life on the level of health. This model is represented in a graphic form by three curves: the observed survival curve, the hypothetical survival curve without chronic diseases and the hypothetical survival curve without disability; thus, as life expectancy at any age is calculated from the survival curve, this model allows the computation of life expectancy without chronic diseases and life expectancy without disability. The relationships between the three curves, can be used to illustrate the numerous theories dealing with the evolution of the populations' health which enliven debates in public health since several decades. Application of the model to French data on mortality, morbidity and disability also allows to enlighten the evolution of the health status of the French population over the last decade.
Annales de démographie historique 02/1996;
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Developments in health economics and public policy 02/1996; 5:11-23.
