Premature Mortality in Slovenia in Relation to Selected Biological, Socioeconomic, and Geographical Determinants

Artnik, Barbara; Vidmar, Gaj; Javornik, Jana; Laaser, Ulrich
February 2006
Croatian Medical Journal;2006, Vol. 47 Issue 1, p103
Academic Journal
Aim To determine biological (sex and age), socioeconomic (marital status, education, and mother tongue) and geographical (region) factors connected with causes of death and lifespan (age at death, years-of-potential-life-lost, and mortality rate) in Slovenia in the 1990s. Methods In this population-based cross-sectional study, we analyzed all deaths in the 25-64 age group (N = 14 816) in Slovenia in 1992, 1995, and 1998. Causes of death, classified into groups according to the 10th revision of International Classification of Diseases, were linked to the data on the deceased from the 1991 Census. Stratified contingency-table analyses were performed. Years-of-potential-life-lost (YPLL) were calculated on the basis of population life-tables stratified by region and linearly modeled by the characteristics of the deceased. Poisson regression was applied to test the differences in mortality rate. Results Across all socioeconomic strata, men died at younger age than women (index of excess mortality in men exceeded 200 for all studied years) and from different prevailing causes (injuries in men aged <45 years; neoplasms in women aged >35 years). For men, higher education was associated with fewer deaths from digestive and respiratory system diseases. The least educated women died relatively often from circulatory diseases, but rarely from neoplasms. Single people died from neoplasms less often. Marriage in comparison with divorce reduced the mortality rate by 1.9-fold in both men and women (P<0.001). Mortality rate in both men and women decreased with increasing education level (P<0.001). Mortality rate of ethnic Slovenians was half the mortality rate of ethnic minority members and immigrants (P<0.001). Analysis of YPLL revealed limited and nonlinear impact of education level on premature mortality. The share of neoplasms was the highest in the cluster of socioeconomically prosperous regions, whereas the share of circulatory diseases was increased in poorer regions. Significant differences were found between individual regions in age at death and mortality rate, and the differences decreased over the studied period. Conclusion These data may aid in understanding the nature, prevalence and consequences of mortality as related to socioeconomic inequalities, and thus serve as a basis for setting health and social policy goals and planning health measures.


Related Articles

  • Mortality in Belarus, Lithuania, and Russia: Divergence in Recent Trends and Possible Explanations. Grigoriev, Pavel; Shkolnikov, Vladimir; Andreev, Evgueni; Jasilionis, Domantas; Jdanov, Dmitri; Meslé, France; Vallin, Jacques // European Journal of Population;Aug2010, Vol. 26 Issue 3, p245 

    Before the collapse of the Soviet Union, Belarus, Lithuania, and Russia were quite comparable in terms of their socioeconomic development. Despite some differences in overall mortality levels, the three former Soviet republics were also very close to each other in terms of directions of...

  • Mortality Patterns in the Southern Black Belt: Regional and Racial Disparities. Wimberley, Dale W. // Sociation Today;2008, Vol. 6 Issue 2, p9 

    The article focuses on a study of mortality patterns in the Southern Black Belt region. It explores many comparisons among geographic units, requiring careful management of geographic data, beginning with operationalization of the Black Belt. Existing evidence suggests the Black Belt's health...

  • Socio-Economic Status and Occupational Differences in the Experience of Mortality. Westover, Jonathan H. // Internet Journal of Epidemiology;2010, Vol. 8 Issue 1, p6 

    It is well recognized that work is a very important part of our everyday lives and that the type of work we do, coupled with our socioeconomic standing in society, can have a large impact on our health. Using data from the Utah Population Database to look at occupational differences in the...

  • Spatial patterns and covariates of heart disease death rates in Michigan, 1998-2004. Djietror, Godwin; Inungu, Joseph // Internet Journal of Health;2008, Vol. 8 Issue 1, p9 

    Using the 1998 through 2004 data from the Michigan Resident Death Files, this paper examined the changing spatial patterns of heart disease death across Michigan counties and assessed the association between heart disease deaths and selected socioeconomic risk factors among people aged 50 years...

  • Socioeconomic inequalities in perinatal and infant mortality from 1854 to 1990 in Amsterdam, the Netherlands. VAN DE MHEEN, HENDRIKE; REIJNEVELD, SIJMEN A.; MACKENBACH, JOHAN P. // European Journal of Public Health;1995, Vol. 6 Issue 3, p166 

    Trends in socioeconomic differences in infant and perinatal mortality in Amsterdam were studied for the period 1854–1990, using published and unpublished material, at the aggregate and at the individual level. Absolute and relative socioeconomic mortality differences (SEMD) per data-set...

  • Determinants of self rated health and mortality in Russia -- are they the same? Perlman, Francesca; Bobak, Martin // International Journal for Equity in Health;2008, Vol. 7, Special section p1 

    Background: Research into Russia's health crisis during the 1990s includes studies of both mortality and self-rated health, assuming that the determinants of the two are the same. In this paper, we tested this assumption, using data from a single study on both outcomes and socioeconomic,...

  • CAUSES OF DEATH AND SOCIAL CLASSES IN ROMANIA. Fat, L.; Drugan, T. // Central European Journal of Public Health;Nov2007 Supplement, pS22 

    Introduction: The special literature shows the existence of the morbidity and mortality differences between social classes in all the European countries. In each country for which data are available, chances of premature death were found to be higher among people with a lower educational level,...

  • An Analysis of Death Using the National Longitudinal Mortality Study. Gius, Mark // Journal of Social Sciences (15493652);2007, Vol. 3 Issue 3, p151 

    Using an expansive survey of death that includes not only socioeconomic and demographic information on a deceased person, but also his or her cause of death, the present study attempts to examine the determinants of death. The present study uses the National Longitudinal Mortality Study, Public...

  • Is the association between childhood socioeconomic circumstances and cause-specific mortality established? Update of a systematic review. Galobardes, B.; Lynch, J. W.; Smith, G. Davey // Journal of Epidemiology & Community Health;May2008, Vol. 62 Issue 5, p387 

    Objective: To update a systematic review on the association between childhood socioeconomic circumstances and cause-specific mortality. Studies published since 2003 include a far greater number of deaths than was previously available justifying an update of the previous systematic review....


Read the Article


Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics