Abstract
Differential mortality in Norway has been studied on the basis of a sample of data derived from the linkage of the 1960, 1970, and 1980 censuses to vital registration records. Based on the hypothesis that the determinants of survival act in interaction, two models are proposed. The first is based on states defined at each observation period by the conjunction of attributes characterizing each individual. The second model considers the chronological order of the states. Logistic regression applied to the latter shows that the most favourable male and female life trajectories are those for married people belonging to rather privileged categories. There are however some differences by sex, as favourable trajectories concern both economically inactive females and employees.
Résumé
La mortalité différentielle norvégienne a été étudiée à partir d'un échantillon extrait du couplage des données des recensements de 1960, 1970 et 1980 au registre d'état civil. Partant de l'hypothèse que l'ensemble des facteurs influençant la survie agissent en interaction, on a construit deux modèles: l'un basé sur les états définis à chaque période d'observation comme la conjonction des attributs caractérisant l'individu, l'autre sur les ordres formés par combinaison chronologiquement ordonnée des états. La régression logistique appliquée au second modèle a montré que les trajectoires masculines et féminines les plus favorables sont celles des individus mariés appartenant à des catégories plutôt favorisées, avec cependant une différence entre les deux sexes puisque les trajectoires féminines favorables concernent autant les économiquement inactives que les employées.
Similar content being viewed by others
References
Borgan, J.-K., 1986, ‘The relation between housing variables, other socio-economic characteristics and mortality: results from the Norwegian census based mortality study 1970–1980’, in: Socioeconomic differential mortality, CICRED, Zamardi, 105–132.
Courgeau, D. and Lelièvre, E., 1989. Analyse démographique des biographies. Editions de l'INED, Paris.
Dahl, E. and Kjaersgaard, P., 1993. ‘Trends in socio-economic mortality differentials in post-war Norway: evidence and interpretations’, Sociology of Health and Illness 5(5), 587–611.
Davey Smith, G., Blane, D. and Bartley, M., 1994, ‘Explanations for socio-economic differentials in mortality: evidence from Britain and elsewhere’, European Journal of Public Health 4(2), 131–144.
Demaris, A., 1992. Logit Modelling: Practical Applications. Sage, Newbury Park.
Drieskens, S., Van Oyen, H. and Tafforeau, J., 1994. ‘Difference in mortality by socio-economic status’, Archives of Public Health 52(5–6), 203–218.
Duchêne, J. and Wunsch, G., 1991. ‘Life histories. A new approach to the analysis of mortality’, in: J. Jozwiak and I. E. Kotowska (eds.), Usefulness of Demographic Modelling Institute of Statistics and Demography, Warsaw, 111–120.
Fox, J., Goldblatt, P. and Jones, D., 1985. ‘Social class mortality differentials: artefact, selection or life circumstances?’, Journal of Epidemiology and Community Health 39, 1–8.
Goldblatt, P., 1990. Longitudinal Study. Mortality and Social Organisation, Series LS no 6, London, HMSO.
Koskinen, S. and Martelin, T., 1994. ‘Why are socioeconomic mortality differences smaller among women than among men?’, Social Science and Medicine 38(10), 1385–1396.
Kristofersen, L., 1986. ‘How stable are socioeconomic mortality differentials in Norway?’, in: Socioeconomic differential mortality, CICRED, Zamardi, 133–149.
Kristofersen, L., 1991. ‘Recent trends in socio-economic differential mortality in Norway’, in Socioeconomic differential mortality in industrialized societies, CICRED, Paris, 116–157.
Kunst, A. E. and Mackenbach, J. P., 1994. ‘The size of mortality differences associated with educational level in nine industrialised countries’, American Journal of Public Health 84(6), 932–937.
Mackie, J. L., 1965. ‘Causes and Conditions’. American Philosophical Quarterly 2/4, 245–264.
Moser, K., Pugh, H., and Goldblatt, P., 1988. ‘Inequalities in women's health: looking at mortality differentials using an alternative approach’, British Medical Journal 296, 1221–1224.
Pearl, J., 1988. Probabilistic Reasoning in Intelligent Systems. Morgan Kaufmann, San Mateo.
Petersen, T., 1995. Analysis of Events Histories, in: G. Arminger, C. C. Clogg, M. E. Sobel (eds.), Handbook of Statistical Modeling for the Social and Behavioral Sciences, Pless, New York.
Salhi, M., Caselli, G., Duchêne, J., Egidi, V., Santini, A., Thiltgès, E. and Wunsch, G., 1995. ‘Assessing mortality differentials using life histories: a method and applications’, in: A. Lopez, G. Caselli, and T. Valkonen (eds.), Adult mortality in developed countries. From description to explanation, Clarendon Press, Oxford, 57–79.
Salhi, M. and Thiltgès, E., 1994. ‘Les déterminants de la mortalité différentielle en Norvège entre 1960 et 1985: comparaison de deux approches biographiques’. Working Paper No 175, Institut de Démographie, Louvain-la-Neuve.
Valkonen, T., 1989. ‘Adult mortality and level of education: a comparison of six countries’, in J. Fox (ed), Health Inequalities in European Countries, Gower, Aldershot, 142–162.
Valkonen, T., Martelin, T., Rimpelä, A., Notkola, V. and Savela, S., 1993. Socio-economic Mortality Differences in Finland 1981–90, Statistics Finland, Population 1993:1, Helsinki.
Wanner, P., Mortalité différentielle en Norvège entre 1970 et 1985 selon la cause de décès. Analyse exploratoire univariée, Institut de Démographie, Louvain-la-Neuve, in preparation.
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Wunsch, G., Duchêne, J., Thiltgès, E. et al. Socio-Economic differences in mortality. A life course approach. Eur J Population 12, 167–185 (1996). https://doi.org/10.1007/BF01797082
Received:
Accepted:
Issue Date:
DOI: https://doi.org/10.1007/BF01797082